From 330b78b65c4a75486998739eea6c00abd3035286 Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Feb 2023 00:43:38 -0800 Subject: [PATCH 01/10] Change id to id_name in sources/crosswalk, Change ref to id_reference, drop id_city_name --- migrations/2023-02-14-migration.sql | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 migrations/2023-02-14-migration.sql diff --git a/migrations/2023-02-14-migration.sql b/migrations/2023-02-14-migration.sql new file mode 100644 index 0000000..de78554 --- /dev/null +++ b/migrations/2023-02-14-migration.sql @@ -0,0 +1,4 @@ +ALTER TABLE "sources" RENAME COLUMN "id" to id_name; +ALTER TABLE "crosswalk" RENAME COLUMN "id" to id_name; +ALTER TABLE "crosswalk" RENAME COLUMN "ref" to id_reference; +ALTER TABLE "sources" DROP COLUMN id_city_name; \ No newline at end of file From 62c66041f1a18027aa72c51b2d176aae91eb16c5 Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Feb 2023 09:09:56 -0800 Subject: [PATCH 02/10] Change id to id_source_name in crosswalk, cities, sources tables, Add dbh_min, dbh_max, height_min, height_max, crown_min, crown_max to treedata table --- migrations/2023-02-14-migration.sql | 17 ++++++++++++++--- scripts/fetch-tables.sh | 7 ++++--- tables/public.cities.sql | 2 +- tables/public.crosswalk.sql | 6 +++--- tables/public.sources.sql | 6 +++--- tables/public.treedata.sql | 22 +++++++++++++++++++++- 6 files changed, 46 insertions(+), 14 deletions(-) diff --git a/migrations/2023-02-14-migration.sql b/migrations/2023-02-14-migration.sql index de78554..31e4798 100644 --- a/migrations/2023-02-14-migration.sql +++ b/migrations/2023-02-14-migration.sql @@ -1,4 +1,15 @@ -ALTER TABLE "sources" RENAME COLUMN "id" to id_name; -ALTER TABLE "crosswalk" RENAME COLUMN "id" to id_name; +ALTER TABLE "sources" RENAME COLUMN "id" to id_source_name; +ALTER TABLE "crosswalk" RENAME COLUMN "id" to id_source_name; +ALTER TABLE "cities" RENAME COLUMN "id" to id_source_name; ALTER TABLE "crosswalk" RENAME COLUMN "ref" to id_reference; -ALTER TABLE "sources" DROP COLUMN id_city_name; \ No newline at end of file + +ALTER TABLE "sources" DROP COLUMN id_city_name; +ALTER TABLE "cities" DROP COLUMN id_source; + + +ALTER TABLE "treedata" ADD dbh_min INTEGER; +ALTER TABLE "treedata" ADD dbh_max INTEGER; +ALTER TABLE "treedata" ADD height_min INTEGER; +ALTER TABLE "treedata" ADD height_max INTEGER; +ALTER TABLE "treedata" ADD crown_min INTEGER; +ALTER TABLE "treedata" ADD crown_max INTEGER; \ No newline at end of file diff --git a/scripts/fetch-tables.sh b/scripts/fetch-tables.sh index 8626a4b..9ed29dc 100755 --- a/scripts/fetch-tables.sh +++ b/scripts/fetch-tables.sh @@ -1,7 +1,8 @@ #!/bin/bash OUTPUT=tables -USER=postgres +USER=trees +DATABASE=treedb SCHEMA=public HOSTNAME=localhost @@ -49,12 +50,12 @@ done read -s -p "Password for postgres: " passwd -for table in $(PGPASSWORD=$passwd psql -U $USER -h $HOSTNAME -t -c "select schemaname || '.' || tablename as table from pg_catalog.pg_tables where schemaname = '$SCHEMA'"); +for table in $(PGPASSWORD=$passwd psql -U $USER -d $DATABASE -h $HOSTNAME -t -c "select schemaname || '.' || tablename as table from pg_catalog.pg_tables where schemaname = '$SCHEMA'"); do echo "Fetching schema for $table"; # filter out all the pg_dump comments and SET statements, then # ignore the first 6 lines which are all blank because we skipped so much stuff - PGPASSWORD=$passwd pg_dump -U $USER -h $HOSTNAME -s --table $table \ + PGPASSWORD=$passwd pg_dump -U $USER -d $DATABASE -h $HOSTNAME -s --table $table \ | grep -v "^--" | grep -v "^SET " | grep -v "^SELECT pg_catalog.set_config" \ | tail +6 \ > $OUTPUT/$table.sql; diff --git a/tables/public.cities.sql b/tables/public.cities.sql index 3331538..3d63860 100644 --- a/tables/public.cities.sql +++ b/tables/public.cities.sql @@ -11,7 +11,7 @@ CREATE TABLE public.cities ( country text, city_count_trees integer DEFAULT 0, modified timestamp without time zone, - id character varying(255), + id_source_name character varying(255), short character varying(255), info text, download text, diff --git a/tables/public.crosswalk.sql b/tables/public.crosswalk.sql index 1097ee7..0596b94 100644 --- a/tables/public.crosswalk.sql +++ b/tables/public.crosswalk.sql @@ -1,7 +1,7 @@ CREATE TABLE public.crosswalk ( id_crosswalk integer NOT NULL, - id character varying(255), + id_source_name character varying(255), common character varying(255), species character varying(255), genus character varying(255), @@ -21,7 +21,7 @@ CREATE TABLE public.crosswalk ( location character varying(255), note character varying(255), address character varying(255), - ref character varying(255), + id_reference character varying(255), owner character varying(255), ule character varying(255), ule_min character varying(255), @@ -49,7 +49,7 @@ ALTER TABLE public.crosswalk ALTER COLUMN id_crosswalk ADD GENERATED ALWAYS AS I ALTER TABLE ONLY public.crosswalk - ADD CONSTRAINT crosswalk_id_fkey FOREIGN KEY (id) REFERENCES public.sources(id) ON UPDATE CASCADE ON DELETE CASCADE; + ADD CONSTRAINT crosswalk_id_fkey FOREIGN KEY (id_source_name) REFERENCES public.sources(id_source_name) ON UPDATE CASCADE ON DELETE CASCADE; diff --git a/tables/public.sources.sql b/tables/public.sources.sql index 2391c3b..77780a4 100644 --- a/tables/public.sources.sql +++ b/tables/public.sources.sql @@ -1,7 +1,7 @@ CREATE TABLE public.sources ( id_sources integer NOT NULL, - id character varying(255), + id_source_name character varying(255), short character varying(255), city character varying(255), state character varying(255), @@ -10,7 +10,7 @@ CREATE TABLE public.sources ( iso_alpha_3 character varying(3), numeric_country_code integer DEFAULT 0, long character varying(255), - id_city_name character varying(255), + id_name2 character varying(255), main character varying(255), center character varying(255), longitude double precision, @@ -48,7 +48,7 @@ ALTER TABLE public.sources ALTER COLUMN id_sources ADD GENERATED ALWAYS AS IDENT -CREATE UNIQUE INDEX id_idx ON public.sources USING btree (id); +CREATE UNIQUE INDEX id_idx ON public.sources USING btree (id_source_name); diff --git a/tables/public.treedata.sql b/tables/public.treedata.sql index 511c508..f9a906e 100644 --- a/tables/public.treedata.sql +++ b/tables/public.treedata.sql @@ -41,7 +41,27 @@ CREATE TABLE public.treedata ( watering_end_date timestamp without time zone, last_watered timestamp without time zone, id bigint NOT NULL, - source_id character varying(255) + source_id character varying(255), + species character varying(255), + family character varying(255), + class character varying(255), + red character varying(255), + ref character varying(255), + iso_alpha_2 character varying(2), + iso_alpha_3 character varying(3), + numeric_country_code integer DEFAULT 0, + info text, + download text, + count integer DEFAULT 1, + planted character varying(255), + variety character varying(255), + location character varying(255), + dbh_min integer, + dbh_max integer, + height_min integer, + height_max integer, + crown_min integer, + crown_max integer ); From 21f791c8f6b9982080e8c2a0ca519474fe8390fa Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Feb 2023 09:14:19 -0800 Subject: [PATCH 03/10] remove id_name2 --- tables/public.sources.sql | 1 - 1 file changed, 1 deletion(-) diff --git a/tables/public.sources.sql b/tables/public.sources.sql index 77780a4..4de692c 100644 --- a/tables/public.sources.sql +++ b/tables/public.sources.sql @@ -10,7 +10,6 @@ CREATE TABLE public.sources ( iso_alpha_3 character varying(3), numeric_country_code integer DEFAULT 0, long character varying(255), - id_name2 character varying(255), main character varying(255), center character varying(255), longitude double precision, From 7f583d1ce366dba8cafcd16b23885d37c2f5f55c Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Feb 2023 09:25:45 -0800 Subject: [PATCH 04/10] treedata cleanup --- migrations/2023-02-14-migration.sql | 19 +++++++++++++++++-- tables/public.treedata.sql | 9 +-------- 2 files changed, 18 insertions(+), 10 deletions(-) diff --git a/migrations/2023-02-14-migration.sql b/migrations/2023-02-14-migration.sql index 31e4798..b5cce4e 100644 --- a/migrations/2023-02-14-migration.sql +++ b/migrations/2023-02-14-migration.sql @@ -5,11 +5,26 @@ ALTER TABLE "crosswalk" RENAME COLUMN "ref" to id_reference; ALTER TABLE "sources" DROP COLUMN id_city_name; ALTER TABLE "cities" DROP COLUMN id_source; - +ALTER TABLE "sources" DROP COLUMN id_name2; ALTER TABLE "treedata" ADD dbh_min INTEGER; ALTER TABLE "treedata" ADD dbh_max INTEGER; ALTER TABLE "treedata" ADD height_min INTEGER; ALTER TABLE "treedata" ADD height_max INTEGER; ALTER TABLE "treedata" ADD crown_min INTEGER; -ALTER TABLE "treedata" ADD crown_max INTEGER; \ No newline at end of file +ALTER TABLE "treedata" ADD crown_max INTEGER; + + + +ALTER TABLE "treedata" DROP COLUMN iso_alpha_2; +ALTER TABLE "treedata" DROP COLUMN iso_alpha_3; +ALTER TABLE "treedata" DROP COLUMN numeric_country_code; +ALTER TABLE "treedata" DROP COLUMN info; +ALTER TABLE "treedata" DROP COLUMN download; +ALTER TABLE "treedata" RENAME COLUMN "source_id" to id_source_name; + + +-- MAKE SURE YOU RUN THIS BEFORE YOU RUN THE NEXT ONE +UPDATE "treedata" SET id_reference = ref WHERE ref IS NOT NULL; +ALTER TABLE "treedata" DROP COLUMN ref; +ALTER TABLE "treedata" DROP COLUMN red; \ No newline at end of file diff --git a/tables/public.treedata.sql b/tables/public.treedata.sql index f9a906e..eb5fc43 100644 --- a/tables/public.treedata.sql +++ b/tables/public.treedata.sql @@ -41,17 +41,10 @@ CREATE TABLE public.treedata ( watering_end_date timestamp without time zone, last_watered timestamp without time zone, id bigint NOT NULL, - source_id character varying(255), + id_source_name character varying(255), species character varying(255), family character varying(255), class character varying(255), - red character varying(255), - ref character varying(255), - iso_alpha_2 character varying(2), - iso_alpha_3 character varying(3), - numeric_country_code integer DEFAULT 0, - info text, - download text, count integer DEFAULT 1, planted character varying(255), variety character varying(255), From 94de6dc8da019507f03b8413a5464223e90f7a64 Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Feb 2023 16:24:44 -0800 Subject: [PATCH 05/10] migration class for crosswalk --- migrations/2023-02-14-migration.sql | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/migrations/2023-02-14-migration.sql b/migrations/2023-02-14-migration.sql index b5cce4e..4fef92e 100644 --- a/migrations/2023-02-14-migration.sql +++ b/migrations/2023-02-14-migration.sql @@ -13,7 +13,7 @@ ALTER TABLE "treedata" ADD height_min INTEGER; ALTER TABLE "treedata" ADD height_max INTEGER; ALTER TABLE "treedata" ADD crown_min INTEGER; ALTER TABLE "treedata" ADD crown_max INTEGER; - +ALTER TABLE "crosswalk" ADD class VARCHAR(255); ALTER TABLE "treedata" DROP COLUMN iso_alpha_2; From 09661b8ee492b89f58a1e22016a6ce3978b85494 Mon Sep 17 00:00:00 2001 From: zoobot Date: Thu, 16 Feb 2023 14:11:54 -0800 Subject: [PATCH 06/10] updated crosswalk --- migrations/2023-02-16-migration.sql | 43 +++++++++++++++++++++++++++++ tables/public.crosswalk.sql | 29 ++++++++++++++++++- tables/public.sources.sql | 2 +- 3 files changed, 72 insertions(+), 2 deletions(-) create mode 100644 migrations/2023-02-16-migration.sql diff --git a/migrations/2023-02-16-migration.sql b/migrations/2023-02-16-migration.sql new file mode 100644 index 0000000..204dd03 --- /dev/null +++ b/migrations/2023-02-16-migration.sql @@ -0,0 +1,43 @@ +ALTER TABLE "sources" RENAME COLUMN "broken_reason" to notes; +ALTER TABLE "crosswalk" RENAME COLUMN "longitude" to longitude; +ALTER TABLE "crosswalk" RENAME COLUMN "lat" to latitude; +ALTER TABLE "crosswalk" ADD id_reference VARCHAR(255); +ALTER TABLE "crosswalk" ADD class VARCHAR(255); +ALTER TABLE "crosswalk" ADD who VARCHAR(255); +ALTER TABLE "crosswalk" ADD common VARCHAR(255); +ALTER TABLE "crosswalk" ADD scientific VARCHAR(255); +ALTER TABLE "crosswalk" ADD genus VARCHAR(255); +ALTER TABLE "crosswalk" ADD address VARCHAR(255); +ALTER TABLE "crosswalk" ADD city VARCHAR(255); +ALTER TABLE "crosswalk" ADD state VARCHAR(255); +ALTER TABLE "crosswalk" ADD zip VARCHAR(255); +ALTER TABLE "crosswalk" ADD country VARCHAR(255); +ALTER TABLE "crosswalk" ADD neighborhood VARCHAR(255); +ALTER TABLE "crosswalk" ADD health VARCHAR(255); +ALTER TABLE "crosswalk" ADD dbh VARCHAR(255); +ALTER TABLE "crosswalk" ADD height VARCHAR(255); +ALTER TABLE "crosswalk" ADD owner VARCHAR(255); +ALTER TABLE "crosswalk" ADD url VARCHAR(255); +ALTER TABLE "crosswalk" ADD urlimage VARCHAR(255); +ALTER TABLE "crosswalk" ADD status VARCHAR(255); +ALTER TABLE "crosswalk" ADD notes VARCHAR(255); +ALTER TABLE "crosswalk" ADD email VARCHAR(255); +ALTER TABLE "crosswalk" ADD volunteer VARCHAR(255); +ALTER TABLE "crosswalk" ADD legal_status VARCHAR(255); +ALTER TABLE "crosswalk" ADD irrigation VARCHAR(255); +ALTER TABLE "crosswalk" ADD water_freq VARCHAR(255); +ALTER TABLE "crosswalk" ADD watering_end_date VARCHAR(255); +ALTER TABLE "crosswalk" ADD last_watered VARCHAR(255); +ALTER TABLE "crosswalk" ADD species VARCHAR(255); +ALTER TABLE "crosswalk" ADD family VARCHAR(255); +ALTER TABLE "crosswalk" ADD class VARCHAR(255); +ALTER TABLE "crosswalk" ADD count VARCHAR(255); +ALTER TABLE "crosswalk" ADD planted VARCHAR(255); +ALTER TABLE "crosswalk" ADD variety VARCHAR(255); +ALTER TABLE "crosswalk" ADD location VARCHAR(255); +ALTER TABLE "crosswalk" ADD dbh_min VARCHAR(255); +ALTER TABLE "crosswalk" ADD dbh_max VARCHAR(255); +ALTER TABLE "crosswalk" ADD height_min VARCHAR(255); +ALTER TABLE "crosswalk" ADD height_max VARCHAR(255); +ALTER TABLE "crosswalk" ADD crown_min VARCHAR(255); +ALTER TABLE "crosswalk" ADD crown_max VARCHAR(255); \ No newline at end of file diff --git a/tables/public.crosswalk.sql b/tables/public.crosswalk.sql index 0596b94..fa11a75 100644 --- a/tables/public.crosswalk.sql +++ b/tables/public.crosswalk.sql @@ -30,7 +30,34 @@ CREATE TABLE public.crosswalk ( gps_date character varying(255), audited character varying(255), modified timestamp without time zone, - created timestamp without time zone DEFAULT CURRENT_TIMESTAMP NOT NULL + created timestamp without time zone DEFAULT CURRENT_TIMESTAMP NOT NULL, + class character varying(255), + longitude character varying(255), + latitude character varying(255), + who character varying(255), + city character varying(255), + state character varying(255), + zip character varying(255), + country character varying(255), + neighborhood character varying(255), + url character varying(255), + urlimage character varying(255), + status character varying(255), + email character varying(255), + volunteer character varying(255), + notes character varying(255), + legal_status character varying(255), + irrigation character varying(255), + water_freq character varying(255), + watering_end_date character varying(255), + last_watered character varying(255), + count character varying(255), + dbh_min character varying(255), + dbh_max character varying(255), + height_min character varying(255), + height_max character varying(255), + crown_min character varying(255), + crown_max character varying(255) ); diff --git a/tables/public.sources.sql b/tables/public.sources.sql index 4de692c..5d15d9f 100644 --- a/tables/public.sources.sql +++ b/tables/public.sources.sql @@ -21,7 +21,7 @@ CREATE TABLE public.sources ( trees_per_source_count integer DEFAULT 0, country_code character varying(10), broken boolean DEFAULT false, - broken_reason character varying(255), + notes character varying(255), info text, download text, format character varying(255), From a1d85a4f9ae294079c4ea6839a3cfd9ce77798fe Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Mar 2023 00:34:33 -0700 Subject: [PATCH 07/10] sources migrations --- 2023-02-16_2018_sources.sql | 374 ++++++++++++++++++++++++++++++++++++ 1 file changed, 374 insertions(+) create mode 100644 2023-02-16_2018_sources.sql diff --git a/2023-02-16_2018_sources.sql b/2023-02-16_2018_sources.sql new file mode 100644 index 0000000..89b9bb4 --- /dev/null +++ b/2023-02-16_2018_sources.sql @@ -0,0 +1,374 @@ +-- +-- PostgreSQL database dump +-- + +-- Dumped from database version 13.4 (Debian 13.4-4.pgdg110+1) +-- Dumped by pg_dump version 14.6 (Homebrew) + +SET statement_timeout = 0; +SET lock_timeout = 0; +SET idle_in_transaction_session_timeout = 0; +SET client_encoding = 'UTF8'; +SET standard_conforming_strings = on; +SELECT pg_catalog.set_config('search_path', '', false); +SET check_function_bodies = false; +SET xmloption = content; +SET client_min_messages = warning; +SET row_security = off; + +DROP INDEX public.id_idx; +DROP TABLE public.sources; +SET default_tablespace = ''; + +SET default_table_access_method = heap; + +-- +-- Name: sources; Type: TABLE; Schema: public; Owner: trees +-- + +CREATE TABLE public.sources ( + id_sources integer NOT NULL, + id_source_name character varying(255), + short character varying(255), + city character varying(255), + state character varying(255), + country character varying(255), + iso_alpha_2 character varying(2), + iso_alpha_3 character varying(3), + numeric_country_code integer DEFAULT 0, + long character varying(255), + main character varying(255), + center character varying(255), + longitude double precision, + latitude double precision, + email character varying(255), + contact character varying(255), + who character varying(255), + phone character varying(255), + trees_per_source_count integer DEFAULT 0, + country_code character varying(10), + broken boolean DEFAULT false, + notes character varying(255), + info text, + download text, + format character varying(255), + filename character varying(255), + gdal_options character varying(255), + license character varying(255), + modified timestamp without time zone, + created timestamp without time zone DEFAULT CURRENT_TIMESTAMP NOT NULL +); + + +ALTER TABLE public.sources OWNER TO trees; + +-- +-- Name: sources_id_sources_seq; Type: SEQUENCE; Schema: public; Owner: trees +-- + +ALTER TABLE public.sources ALTER COLUMN id_sources ADD GENERATED ALWAYS AS IDENTITY ( + SEQUENCE NAME public.sources_id_sources_seq + START WITH 30 + INCREMENT BY 1 + NO MINVALUE + NO MAXVALUE + CACHE 1 +); + + +-- +-- Data for Name: sources; Type: TABLE DATA; Schema: public; Owner: trees +-- + +COPY public.sources (id_sources, id_source_name, short, city, state, country, iso_alpha_2, iso_alpha_3, numeric_country_code, long, main, center, longitude, latitude, email, contact, who, phone, trees_per_source_count, country_code, broken, notes, info, download, format, filename, gdal_options, license, modified, created) FROM stdin; +30 manningham Manningham Manningham \N Australia AU AUS 36 City of Manningham manningham \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/manningham-streettrees/wfs?request=GetFeature&typeName=ckan_1aef5123_24ff_4084_a0f1_a52ca71e9e99&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.344615 +31 adelaide Adelaide Adelaide \N Australia AU AUS 36 City of Adelaide adelaide \N \N \N \N \N \N \N 0 \N f \N \N http://opendata.adelaidecitycouncil.com/street_trees/street_trees.csv csv adelaide.csv -skipfailures \N \N 2022-12-01 00:56:34.410192 +32 corangamite Corangamite Corangamite \N Australia AU AUS 36 Corangamite Shire corangamite \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/corangamite-shire-trees/wfs?request=GetFeature&typeName=ckan_d9677ebb_f3db_45f3_88eb_04089debb9e0&outputFormat=json geojson \N -s_srs EPSG:4326 \N \N 2022-12-01 00:56:34.402621 +35 waite Waite Arboretum Waite Arboretum \N Australia AU AUS 36 Waite Arboretum (Adelaide) waite \N \N \N \N \N \N \N 0 \N t \N \N http://data.sa.gov.au/storage/f/2014-06-23T06%3A12%3A22.180Z/waitetreeid-2014-app-joined-19062014.zip zip WaiteTreeID_2014_App_Joined_19062014.shp \N \N \N 2022-12-01 00:56:34.417399 +33 ballarat Ballarat Ballarat \N Australia AU AUS 36 City of Ballarat ballarat \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/ballarattrees/wfs?request=GetFeature&typeName=ckan_eabaee3f_a563_449b_a04a_1ec847566ea1&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.408341 +36 colac_otways Colac-Otways Colac-Otways \N Australia AU AUS 36 Colac-Otways Shire colac_otways \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/geoserver/colac-otway-shire-trees/wfs?request=GetFeature&typeName=ckan_3ce1805b_cb81_4683_8f46_e7bd2d2a3b7c&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.414297 +34 geelong Geelong Geelong \N Australia AU AUS 36 City of Greater Geelong geelong \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/geelong-trees/wfs?request=GetFeature&typeName=ckan_13b1196c_7fb7_436a_86bc_ab24c16526de&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.403983 +37 buenos_aires2 Buenos Aires2 Buenos Aires2 \N Argentina AR ARG 32 Buenos Aires2 buenos_aires \N \N \N \N \N \N \N 0 \N f \N https://data.buenosaires.gob.ar/dataset/arbolado-publico-lineal http://cdn.buenosaires.gob.ar/datosabiertos/datasets/arbolado-publico-lineal/arbolado-publico-lineal-2017-2018.geojson geojson \N \N \N \N 2022-12-01 00:56:34.45623 +39 burnside Burnside Burnside \N Australia AU AUS 36 City of Burnside burnside \N \N \N \N \N \N \N 0 \N f \N \N https://data.sa.gov.au/data/dataset/b7e1c8f6-169c-41bd-b5d7-140395a41c38/resource/6d1912aa-4775-4f5e-b00d-18456ad872a5/download/burnsidetrees.geojson geojson \N \N \N \N 2022-12-01 00:56:34.50871 +38 buenos_aires Buenos Aires Buenos Aires \N Argentina AR ARG 32 Buenos Aires buenos_aires \N \N \N \N \N \N \N 0 \N f \N https://data.buenosaires.gob.ar/dataset/arbolado-espacios-verdes http://cdn.buenosaires.gob.ar/datosabiertos/datasets/arbolado-en-espacios-verdes/arbolado-en-espacios-verdes.csv csv \N \N \N \N 2022-12-01 00:56:34.452838 +40 melbourne Melbourne Melbourne \N Australia AU AUS 36 City of Melbourne melbourne \N \N \N \N \N \N \N 0 \N f \N \N https://data.melbourne.vic.gov.au/api/views/fp38-wiyy/rows.csv?accessType=DOWNLOAD csv melbourne.csv \N \N \N 2022-12-01 00:56:34.417236 +41 launceston Launceston Launceston \N Australia AU AUS 36 City of Launceston launceston \N \N \N \N \N \N \N 0 \N t \N \N http://lcc.launceston.opendata.arcgis.com/datasets/63b09a3688804a17b0edc4b3b072a0d7_1.zip zip Trees.shp \N \N \N 2022-12-01 00:56:34.565988 +42 hobsons_bay Hobson's Bay Hobson's Bay \N Australia AU AUS 36 City of Hobson's Bay hobsons_bay \N \N \N \N \N \N \N 0 \N t \N \N https://data.gov.au/dataset/80051ffe-04d5-4602-b15b-60e0d0e3d153/resource/ea1ec6fc-02bd-4e36-8e43-c990b6a9268d/download/hbcc_street_and_park_trees.json geojson \N \N \N \N 2022-12-01 00:56:34.589727 +43 glenelg Glenelg Glenelg \N Australia AU AUS 36 Glenelg Shire glenelg \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/dataset/3721ad67-7b5b-4815-96b1-9d8b1a89dbd7/resource/b9ff3d44-17b4-4f87-8a28-2d540fa37d8f/download/Glenelg-Street-and-Park-Trees.csv csv \N \N \N \N 2022-12-01 00:56:34.592166 +44 southern_grampians Southern Grampians Southern Grampians \N Australia AU AUS 36 City of Southern Grampians southern_grampians \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/geoserver/southern-grampians-street-and-park-trees/wfs?request=GetFeature&typeName=ckan_4a2843f5_8c01_438b_95f3_01ef0a518441&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.598154 +45 prospect1 Prospect Prospect \N Australia AU AUS 36 City of Prospect prospect1 \N \N \N \N \N \N \N 0 \N f \N \N 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http://donnees.ville.montreal.qc.ca/dataset/arbres http://donnees.ville.montreal.qc.ca/dataset/3e3efad6-9f2f-4cc0-8f1b-92de1ccdb282/resource/c6c5afe8-10be-4539-8eae-93918ea9866e/download/arbres-publics.csv csv \N \N \N \N 2022-12-01 00:56:34.688666 +72 ottawa Ottawa Ottawa \N Canada CA CAN 124 Ottawa ottawa \N \N \N \N \N \N \N 0 \N t \N https://ouverte.ottawa.ca/datasets/inventaire-des-arbres https://opendata.arcgis.com/datasets/451e904e2753453eb699b2e853ab5857_1.csv csv \N \N \N \N 2022-12-01 00:56:34.717909 +82 north_vancouver North Vancouver North Vancouver \N Canada CA CAN 124 North Vancouver north_vancouver \N \N \N \N \N \N \N 0 \N f \N http://geoweb.dnv.org/data/index.php http://geoweb.dnv.org/Products/Data/SHP/EnvStreetTree_shp.zip zip \N \N \N \N 2022-12-01 00:56:34.749495 +94 maple_ridge Maple Ridge Maple Ridge \N Canada CA CAN 124 Maple Ridge maple_ridge \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/mapleridge::street-tree https://opendata.arcgis.com/datasets/290505c676d64cf09989eca1320aedd3_5.zip zip \N \N \N \N 2022-12-01 00:56:34.78504 +107 saint_quentinois Saint Quentinois Saint Quentinois \N France FR FRA 250 Agglomération du Saint Quentinois saint_quentinois \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/c6000378-1f3c-4c0c-8f62-9a5b72dc7a85 zip ARBRES.shp \N \N \N 2022-12-01 00:56:34.840162 +113 versailles Versailles Versailles \N France FR FRA 250 Versailles versailles \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/4b9d9fe4-f8da-4db1-8057-9e83b2abf5d2 geojson \N \N \N \N 2022-12-01 00:56:34.857099 +123 mulhouse Mulhouse Mulhouse \N France FR FRA 250 Mulhouse Alsace Agglomération mulhouse \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/caracteristiques-des-arbres-dalignements-geres-par-la-ville-de-mulhouse/ https://www.data.gouv.fr/fr/datasets/r/3c47ef6b-10ea-4723-81b9-a3c0b99e9550 zip \N \N \N \N 2022-12-01 00:56:34.880372 +134 frankfurt Frankfurt Frankfurt \N Germany DE DEU 276 Frankfurt am Main frankfurt \N \N \N \N \N \N \N 0 \N f \N https://hub.arcgis.com/datasets/esri-de-content::baumkataster-frankfurt-am-main https://opendata.arcgis.com/datasets/8c50110f190e43599baf50701aaff13a_0.zip zip \N \N \N \N 2022-12-01 00:56:34.912166 +143 troisdorf_de Troisdorf Troisdorf \N Germany DE DEU 276 Stadt Troisdorf troisdorf_de \N \N \N \N \N \N \N 0 \N t \N http://www.stadtplan.troisdorf.de/opengeodata/opendata/open_data_baumkataster.html http://www.stadtplan.troisdorf.de/opengeodata/opendata/data/Troisdorf_Baumkataster_180926.zip csv \N \N \N \N 2022-12-01 00:56:34.936604 +152 amsterdam4 Amsterdam Amsterdam \N Netherlands NL NLD 528 Gemeente Amsterdam amsterdam1 \N \N \N \N \N \N \N 0 \N f \N https://maps.amsterdam.nl/open_geodata/?k=257 https://maps.amsterdam.nl/open_geodata/excel.php?KAARTLAAG=BOMEN&THEMA=bomen4 csv \N \N \N \N 2022-12-01 00:56:34.962267 +164 lelystad_nl Lelystad Lelystad \N Netherlands NL 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\N \N 0 \N t \N \N https://opendata-ajuntament.barcelona.cat/data/dataset/27b3f8a7-e536-4eea-b025-ce094817b2bd/resource/28034af4-b636-48e7-b3df-fa1c422e6287/download csv \N \N \N \N 2022-12-01 00:56:35.05347 +181 torrent_es Torrent Torrent \N Spain ES ESP 724 Torrent torrent_es \N \N \N \N \N \N \N 0 \N f \N https://datos.gob.es/es/catalogo/l01462444-arbres-de-torrent-arboles-de-torrent http://datosabiertos.torrent.es/dataset/b372b8dd-07fb-4973-a2af-cb9a7c8de9bb/resource/dbae0e9d-c48b-4185-8a51-2599b093fdba/download/ODMAArbolAislado.csv \N \N \N \N \N 2022-12-01 00:56:35.058605 +188 belfast Belfast Belfast \N United Kingdom GB GBR 826 Belfast belfast \N \N \N \N \N \N \N 0 \N t \N https://www.belfastcity.gov.uk/council/Openandlinkeddata/opendatasets.aspx https://www.belfastcity.gov.uk/nmsruntime/saveasdialog.aspx?lID=14543&sID=2430 csv \N \N \N \N 2022-12-01 00:56:35.076497 +61 wallonie_bruxelles_be Wallonie-Bruxelles Wallonie-Bruxelles \N Belgium BE BEL 56 Wallonie-Bruxelles 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https://niagaraopendata.ca/dataset/st-catharines-trees https://niagaraopendata.ca/dataset/06257b18-da24-424e-a609-48d6f3d4f018/resource/c549fce9-f032-48f9-9c0a-2adc9d1e0a40/download/trees.csv \N \N \N \N \N 2022-12-01 00:56:34.795088 +103 copenhagen Copenhagen Copenhagen \N Denmark DK DNK 208 Copenhagen copenhagen \N \N \N \N \N \N \N 0 \N f \N https://www.opendata.dk/city-of-copenhagen/trae_basis https://wfs-kbhkort.kk.dk/k101/ows?service=WFS&version=1.0.0&request=GetFeature&typeName=k101:trae_basis&outputFormat=csv&SRSNAME=EPSG:4326 csv \N \N \N \N 2022-12-01 00:56:34.827562 +117 toulouse Toulouse Toulouse \N France FR FRA 250 Toulouse Métropole toulouse \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-dalignement-toulouse/ https://www.data.gouv.fr/fr/datasets/r/b5b275e5-ef20-43c4-ad3f-5604c67a75a3 zip \N \N \N \N 2022-12-01 00:56:34.86364 +127 guingamp_fr Guingamp Guingamp \N France FR FRA 250 Ville de Guingamp guingamp_fr \N \N \N \N \N \N \N 0 \N t No common field https://datarmor.cotesdarmor.fr/data-presentation-ux/#/cg22/datasets/Arbres_Guingamp/views/grid?main-bg-color=@046D8B&main-font-color=@fff https://datarmor.cotesdarmor.fr:443/dataserver/cg22/data/Arbres_Guingamp?&$format=csv csv \N \N \N \N 2022-12-01 00:56:34.892435 +139 hamburg Hamburg Hamburg \N Germany DE DEU 276 Hamburg hamburg \N \N \N \N \N \N \N 0 \N t \N \N http://daten-hamburg.de/umwelt_klima/strassenbaumkataster/Strassenbaumkataster_HH_2019-06-19.zip zip Strassenbaumkataster_HH_2019-06-19.gml \N \N \N 2022-12-01 00:56:34.926139 +148 bologna_it Bologna Bologna \N Italy IT ITA 380 Comune di Bologna bologna_it \N \N \N \N \N \N \N 0 \N t Data has Specie arborea field but no common field https://opendata.comune.bologna.it/explore/dataset/alberi-manutenzioni/information/?disjunctive.classe&disjunctive.cl_h&disjunctive.dimora&disjunctive.d_edif https://opendata.comune.bologna.it/explore/dataset/alberi-manutenzioni/download/?format=geojson&timezone=Europe/Rome&lang=it geojson \N \N \N \N 2022-12-01 00:56:34.948248 +165 groningen_nl Groningen Groningen \N Netherlands NL NLD 528 Groningen groningen_nl \N \N \N \N \N \N \N 0 \N f \N https://ckan.dataplatform.nl/dataset/9861d295-21cd-4ece-8648-88b141dc3532 https://ckan.dataplatform.nl/dataset/9861d295-21cd-4ece-8648-88b141dc3532/resource/4a52525e-04ac-4934-8294-a2566986b24f/download/gem_groningen_bomen.zip \N \N \N \N \N 2022-12-01 00:56:34.994167 +171 oslo Oslo Oslo \N Norway NO NOR 578 Oslo oslo \N \N \N \N \N \N \N 0 \N f \N https://hub.arcgis.com/datasets/f256d2d837554edab8b53bb6af90bc8d_19?geometry=10.516%2C59.709%2C10.873%2C59.884 https://opendata.arcgis.com/datasets/f256d2d837554edab8b53bb6af90bc8d_19.zip zip \N \N \N \N 2022-12-01 00:56:35.026323 +182 manlleu_es Manlleu Manlleu \N Spain ES ESP 724 Manlleu manlleu_es \N \N \N \N \N \N \N 0 \N f \N https://dadesobertes-situam.opendata.arcgis.com/datasets/arbrat-del-nucli-urb%C3%A0 https://opendata.arcgis.com/datasets/7255e3ea9235496fbd5f6ee244f21015_0.zip?outSR=%7B%22latestWkid%22%3A25831%2C%22wkid%22%3A25831%7D \N \N \N \N \N 2022-12-01 00:56:35.058361 +194 pdx-street Portland Portland OR United States of America US USA 840 Portland, Oregon pdx-street \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/eb67a0ad684d4bb6afda51dc065d1664_25.zip zip Street_Trees.shp \N \N \N 2022-12-01 00:56:35.097529 +202 buffalo Buffalo Buffalo NY United States of America US USA 840 City of Buffalo, NY buffalo \N \N \N \N \N \N \N 0 \N f \N \N https://data.buffalony.gov/api/views/n4ni-uuec/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:35.115773 +216 cupertino Cupertino Cupertino CA United States of America US USA 840 Cupertino cupertino \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/Cupertino::trees https://opendata.arcgis.com/datasets/caa50a924b7d4b5ba8e8a4cbfd0d7f13_29.csv csv \N \N \N \N 2022-12-01 00:56:35.149099 +226 amherst Amherst Amherst MA United States of America US USA 840 Amherst amherst \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/AmherstMA::street-trees https://opendata.arcgis.com/datasets/b4a74ab24f114f22b438a19e589f6f76_0.zip \N \N \N \N \N 2022-12-01 00:56:35.184278 +235 st_augustine St Augustine St Augustine FL United States of America US USA 840 St Augustine st_augustine \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/STAUG::trees?geometry=-93.005%2C28.223%2C-69.637%2C31.556 https://opendata.arcgis.com/datasets/8372c7d0f5a24764bd10f62f0b2f1b65_0.csv \N \N \N \N \N 2022-12-01 00:56:35.211949 +242 sarasota Sarasota Sarasota FL United States of America US USA 840 Sarasota sarasota \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/sarasota::tree-inventory https://opendata.arcgis.com/datasets/4deeb30f44bc4b60847cf43aed1a4670_0.csv \N \N \N \N \N 2022-12-01 00:56:35.236673 +250 cape_coral Cape Coral Cape Coral FL United States of America US USA 840 Cape Coral cape_coral \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CapeGIS::tree-inventory https://opendata.arcgis.com/datasets/e988fe06668e44ea996a53c4365531b9_0.csv \N \N \N \N \N 2022-12-01 00:56:35.25968 +258 santa_monica Santa Monica Santa Monica CA United States of America US USA 840 Santa Monica santa_monica \N \N \N data@smgov.net City of Santa Monica Open Data \N \N 0 \N f \N https://data.smgov.net/ https://opendata.arcgis.com/api/v3/datasets/64f5db2cbb224f6d87387999a300b962_0/downloads/data?format=geojson&spatialRefId=4326&where=1%3D1 geojson \N \N \N \N 2022-12-01 00:56:35.280144 +62 linz Linz Linz \N Austria AT AUT 40 City of Linz linz \N \N \N \N \N \N \N 0 \N t \N https://www.data.gv.at/katalog/dataset/baumkataster http://data.linz.gv.at/katalog/umwelt/baumkataster/2020/FME_BaumdatenBearbeitet_OGD_20200225.csv csv \N \N \N \N 2022-12-01 00:56:34.66675 +76 winnipeg Winnipeg Winnipeg \N Canada CA CAN 124 Winnipeg winnipeg \N \N \N \N \N \N \N 0 \N f \N https://data.winnipeg.ca/Parks/Tree-Inventory-Map/xyma-gm38 https://data.winnipeg.ca/api/views/h923-dxid/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:34.731552 +89 kamloops Kamloops Kamloops \N Canada CA CAN 124 City of Kamloops kamloops \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/kamloops::trees https://opendata.arcgis.com/datasets/e14c04be6c6c4692b70147edb937088c_25.zip zip \N \N \N \N 2022-12-01 00:56:34.768884 +100 york_ca York York \N Canada CA CAN 124 York york_ca \N \N \N \N \N \N \N 0 \N f \N https://insights-york.opendata.arcgis.com/datasets/street-trees https://opendata.arcgis.com/datasets/293d80c24bf54a4f8ab66bddaeaab184_0.zip \N \N \N \N \N 2022-12-01 00:56:34.798685 +110 grand_paris_seine_ouest Grand Paris Seine Ouest Grand Paris Seine Ouest \N France FR FRA 250 Grand Paris Seine Ouest grand_paris_seine_ouest \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-2/ https://www.data.gouv.fr/fr/datasets/r/a10c7776-afa5-4b8a-8050-081788818b55 zip arbres-v2.shp \N \N \N 2022-12-01 00:56:34.842517 +118 saint_egreve Saint-Egrève Saint-Egrève \N France FR FRA 250 Ville de Saint-Egrève saint_egreve \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/les-arbres-de-saint-egreve/ https://www.data.gouv.fr/fr/datasets/r/2bda9508-27e5-4de6-aba3-fdb0d9059a22 zip \N \N \N \N 2022-12-01 00:56:34.870292 +130 leipzig Leipzig Leipzig \N Germany DE DEU 276 Leipzig leipzig \N \N \N \N \N \N \N 0 \N f \N https://hub.arcgis.com/datasets/esri-de-content::stra%C3%9Fenbaumkataster-leipzig https://opendata.arcgis.com/datasets/918dfaa87b754c4384ddcf869cfd6dc6_0.zip zip \N \N \N \N 2022-12-01 00:56:34.900672 +136 rostock Rostock Rostock \N Germany DE DEU 276 Hanse- und Universitätsstadt Rostock rostock \N \N \N \N \N \N \N 0 \N f \N https://www.opendata-hro.de/dataset/baeume https://geo.sv.rostock.de/download/opendata/baeume/baeume.csv csv \N \N \N \N 2022-12-01 00:56:34.91595 +151 luxembourg Luxembourg Luxembourg \N Luxembourg LU LUX 442 Grand-Duchy of Luxembourg luxembourg \N \N \N \N \N \N \N 0 \N t Requires outreach to get a compatible file format https://data.public.lu/en/datasets/inspire-annex-i-theme-protected-sites-remarkable-trees/#_ https://download.data.public.lu/resources/inspire-annex-i-theme-protected-sites-remarkable-trees/20220405-122622/ps.protectedsitesnatureconservation-trees.gml gml \N \N \N \N 2022-12-01 00:56:34.957751 +159 amersfoot_nl Amersfoot Amersfoot \N Netherlands NL NLD 528 Amersfoot amersfoot_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/amersfoort-gemeentelijke_bomen https://ckan.dataplatform.nl/dataset/a6054acf-3e41-4142-9b1a-52d73ff022f3/resource/7794f7e2-8bb9-45ba-9a9f-df910b09c40f/download/amersfoort-gemeentelijke_bomen.csv csv \N \N \N \N 2022-12-01 00:56:34.983191 +168 zvartewaterland_nl Zvartewaterland Zvartewaterland \N Netherlands NL NLD 528 Zvartewaterland 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https://opendata.arcgis.com/api/v3/datasets/30ef36e9e880468fa74e2d5b18da4cfb_0/downloads/data?format=geojson&spatialRefId=4326 geojson \N \N \N \N 2022-12-01 00:56:35.119153 +210 colombus Colombus Colombus OH United States of America US USA 840 Colombus colombus \N \N \N \N \N \N \N 0 \N f \N http://opendata.columbus.gov/datasets/public-owned-trees https://opendata.arcgis.com/datasets/674e4a358e8042f69a734f229a93823c_1.zip?outSR=%7B%22wkt%22%3A%22PROJCS%5B%5C%22Ohio%203402%2C%20Southern%20Zone%20(1983%2C%20US%20Survey%20feet)%5C%22%2CGEOGCS%5B%5C%22NAD%2083%20(Continental%20US)%5C%22%2CDATUM%5B%5C%22NAD%2083%20(Continental%20US)%5C%22%2CSPHEROID%5B%5C%22GRS%2080%5C%22%2C6378137.0%2C298.257222101%5D%5D%2CPRIMEM%5B%5C%22Greenwich%5C%22%2C0.0%5D%2CUNIT%5B%5C%22Degree%5C%22%2C0.0174532925199433%5D%5D%2CPROJECTION%5B%5C%22Lambert_Conformal_Conic%5C%22%5D%2CPARAMETER%5B%5C%22False_Easting%5C%22%2C1968500.0%5D%2CPARAMETER%5B%5C%22Central_Meridian%5C%22%2C-82.5%5D%2CPARAMETER%5B%5C%22Standard_Parallel_1%5C%22%2C38.7333333333%5D%2CPARAMETER%5B%5C%22Standard_Parallel_2%5C%22%2C40.0333333333%5D%2CPARAMETER%5B%5C%22Latitude_Of_Origin%5C%22%2C38.0%5D%2CUNIT%5B%5C%22U.S.%20Foot%5C%22%2C0.3048006096012%5D%5D%22%7D zip Public_Owned_Trees.shp \N \N \N 2022-12-01 00:56:35.142659 +219 aurora Aurora Aurora CO United States of America US USA 840 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https://data.cityofpasadena.net/ https://opendata.arcgis.com/api/v3/datasets/593b88391b614123890f54a1db8fbf55_2/downloads/data?format=geojson&spatialRefId=4326&where=1%3D1 geojson \N \N \N \N 2022-12-01 00:56:35.262978 +63 sydney Sydney Sydney \N Australia AU AUS 36 City of Sydney sydney \N \N \N \N \N \N \N 0 \N f \N \N https://emscycletours.site44.com/opentrees-data/sydney-tree-data.csv csv sydney.csv \N \N \N 2022-12-01 00:56:34.663999 +78 vancouver Vancouver Vancouver \N Canada CA CAN 124 Vancouver vancouver \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.vancouver.ca/explore/dataset/street-trees/download/?format=geojson&lang=en geojson \N \N \N \N 2022-12-01 00:56:34.731205 +88 chestermere Chestermere Chestermere \N Canada CA CAN 124 Chestermere chestermere \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/Chestermere::tree-points https://opendata.arcgis.com/datasets/72e47f7c7b194047936ebb0ce3c4d32e_0.zip zip \N \N \N \N 2022-12-01 00:56:34.768358 +96 lethbridge_ca Lethbridge Lethbridge \N Canada CA CAN 124 Lethbridge lethbridge_ca \N \N \N \N \N \N \N 0 \N f \N http://opendata.lethbridge.ca/datasets/82841132047d47659508f60c52f6346a_0 https://opendata.arcgis.com/datasets/82841132047d47659508f60c52f6346a_0.zip \N \N \N \N \N 2022-12-01 00:56:34.791718 +111 montpellier Montpellier Montpellier \N France FR FRA 250 Montpellier montpellier \N \N \N \N \N \N \N 0 \N f \N https://data.montpellier3m.fr/dataset/arbres-dalignement-de-montpellier https://data.montpellier3m.fr/sites/default/files/ressources/MMM_MTP_ArbresAlign.zip zip MMM_MTP_ArbresAlign.shp \N \N \N 2022-12-01 00:56:34.842435 +119 orleans Orléans Orléans \N France FR FRA 250 Ville d'Orléans orleans \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-ville-dorleans/ https://www.data.gouv.fr/fr/datasets/r/804b8b61-9f8f-4a0d-8524-35ea5d6e265f zip \N \N \N \N 2022-12-01 00:56:34.870424 +128 paris_sud_fr Grand Paris Sud Grand Paris Sud \N France FR FRA 250 Grand Paris Sud paris_sud_fr \N \N \N \N \N \N \N 0 \N f \N https://data.grandparissud.fr/explore/dataset/patrimoine-arbore/export/ https://data.grandparissud.fr/explore/dataset/patrimoine-arbore/download/?format=shp&timezone=Australia/Sydney&lang=fr \N \N \N \N \N 2022-12-01 00:56:34.898335 +140 ulm Ulm Ulm \N Germany DE DEU 276 Ulm ulm \N \N \N \N \N \N \N 0 \N t \N http://www.daten.ulm.de/datenkatalog/metadaten/baumbestand-stadt-ulm-testdatensatz http://daten.ulm.de/sites/default/files/20180921_Baeume_1.xlsx xlsx ulm.vrt -skipfailures \N \N 2022-12-01 00:56:34.92593 +149 amsterdam2 Amsterdam Amsterdam \N Netherlands NL NLD 528 Gemeente Amsterdam amsterdam1 \N \N \N \N \N \N \N 0 \N f \N https://maps.amsterdam.nl/open_geodata/?k=255 https://maps.amsterdam.nl/open_geodata/excel.php?KAARTLAAG=BOMEN&THEMA=bomen2 csv \N \N \N \N 2022-12-01 00:56:34.958584 +158 eindhoven_nl Eindhoven Eindhoven \N Netherlands NL NLD 528 Eindhoven eindhoven_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomen-eindhoven https://ckan.dataplatform.nl/dataset/23d824dc-158f-4e23-8bbf-c10c00ce73cf/resource/0c8e87ba-0fde-48e4-a997-7abd04c7c692/download/bomen29-01.csv csv \N \N \N \N 2022-12-01 00:56:34.978958 +167 alblasserdam_nl Alblasserdam Alblasserdam \N Netherlands NL NLD 528 Alblasserdam alblasserdam_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomen-alblasserdam https://ckan.dataplatform.nl/dataset/74c93ecc-82cc-46fa-8210-04818ae27279/resource/5bc33717-ff42-4aab-8bed-5ed0f618b1f8/download/gegevens-bomen-2017-alblasserdam.csv \N \N \N \N \N 2022-12-01 00:56:35.003942 +177 santiago Santiago de Compostela Santiago de Compostela \N Spain ES ESP 724 Concello de Santiago de Compostela santiago \N \N \N \N \N \N \N 0 \N t \N https://datos.santiagodecompostela.gal/catalogo/gl/dataset/arboredo https://datos.santiagodecompostela.gal/catalogo/dataset/60b1928e-32a9-442a-8f69-0215ba0862a4/resource/fab2344b-3c5c-466b-9e63-2e05e11fd9ce/download/arboredo_points.zip zip \N \N \N \N 2022-12-01 00:56:35.03883 +186 tradportalen Trädportalen Trädportalen \N Sweden SE SWE 752 Trädportalen tradportalen \N \N \N \N \N \N \N 0 \N f \N https://www.tradportalen.se/Summary.aspx https://tradportalen.s3.eu-north-1.amazonaws.com/tradportalen.zip zip data/combined.json \N \N \N 2022-12-01 00:56:35.070695 +191 york York York \N United Kingdom GB GBR 826 City of York Council york \N \N \N \N \N \N \N 0 \N f \N https://data.gov.uk/dataset/12dcc527-a7e2-4b23-a3c5-1501053ff0f5/council-owned-trees https://opendata.arcgis.com/datasets/30f38f358843467daa2d93074a03b8d5_3.csv csv \N \N \N \N 2022-12-01 00:56:35.091406 +200 nyc New York New York NY United States of America US USA 840 New York City nyc \N \N \N \N \N \N \N 0 \N f \N \N https://data.cityofnewyork.us/api/views/uvpi-gqnh/rows.csv?accessType=DOWNLOAD csv nyc.csv \N \N \N 2022-12-01 00:56:35.114876 +214 oxnard Oxnard Oxnard CA United States of America US USA 840 City of Oxnard oxnard \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/a5aa2d1dfd344ef79d61507d33cdbc02_1 https://opendata.arcgis.com/datasets/a5aa2d1dfd344ef79d61507d33cdbc02_1.csv csv \N \N \N \N 2022-12-01 00:56:35.148936 +221 las_vegas Las Vegas Las Vegas NV United States of America US USA 840 Las Vegas las_vegas \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/lasvegas::trees https://opendata.arcgis.com/datasets/23364bb40f2640ff841ba4a8680b6421_0.csv \N \N \N \N \N 2022-12-01 00:56:35.174841 +231 charlottesville Charlottesville Charlottesville NC United States of America US USA 840 Charlottesville charlottesville \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/charlottesville::tree-inventory-point https://opendata.arcgis.com/datasets/e7c856379492408e9543a25d684b8311_79.csv \N \N \N \N \N 2022-12-01 00:56:35.205155 +246 hudson_river_park Hudson River Park Hudson River Park NY United States of America US USA 840 Hudson River Park Trust hudson_river_park \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/SustainableMSU::tree https://opendata.arcgis.com/datasets/51b5e5da030f4331af48cb052f2d2d5e_1.csv \N \N \N \N \N 2022-12-01 00:56:35.244456 +65 gent_be Gent Gent \N Belgium BE BEL 56 Stad Gent gent_be \N \N \N \N \N \N \N 0 \N t \N https://datatank.stad.gent/4/milieuennatuur/bomeninventaris https://datatank.stad.gent/4/milieuennatuur/bomeninventaris.json \N \N \N \N \N 2022-12-01 00:56:34.677747 +79 toronto Toronto Toronto \N Canada CA CAN 124 Toronto toronto \N \N \N \N \N \N \N 0 \N t \N https://open.toronto.ca/dataset/street-tree-data/ https://ckan0.cf.opendata.inter.prod-toronto.ca/download_resource/c1229af1-8ab6-4c71-b131-8be12da59c8e zip TMMS_Open_Data_WGS84.shp \N \N \N 2022-12-01 00:56:34.732854 +90 ajax Ajax Ajax \N Canada CA CAN 124 Ajax ajax \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/TownofAjax::town-trees https://opendata.arcgis.com/datasets/c5d5ff5351a54fdb8d3934abbb5cda9a_8.zip zip \N \N \N \N 2022-12-01 00:56:34.756238 +99 mississauga_ca Missisauga Missisauga \N Canada CA CAN 124 Missisauga mississauga_ca \N \N \N \N \N \N \N 0 \N f \N http://data.mississauga.ca/datasets/city-owned-tree-inventory https://opendata.arcgis.com/datasets/b3f7ee3952094b87b4a1d82d5f19dc0e_0.zip?outSR=%7B%22latestWkid%22%3A3857%2C%22wkid%22%3A102100%7D \N \N \N \N \N 2022-12-01 00:56:34.796206 +105 bordeaux Bordeaux Bordeaux \N France FR FRA 250 Bordeaux bordeaux \N \N \N \N \N \N \N 0 \N f \N https://opendata.bordeaux-metropole.fr/explore/dataset/bor_arbres/information/ https://opendata.bordeaux-metropole.fr/explore/dataset/bor_arbres/download/?format=geojson&lang=en geojson \N \N \N \N 2022-12-01 00:56:34.833809 +114 metz Metz Metz \N France FR FRA 250 Metz metz \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/3aa28eaa-9ee4-49ff-bb73-74c21d14268d zip vrd_esv_arb.shp \N \N \N 2022-12-01 00:56:34.859569 +122 rennes2 Rennes Rennes \N France FR FRA 250 Rennes Métropole rennes1 \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-dalignement-en-accompagnement-de-voirie-sur-la-ville-de-rennes-1/ https://www.data.gouv.fr/fr/datasets/r/c9cf6518-267c-4aa4-bdbe-d1602f78b07f zip \N \N \N \N 2022-12-01 00:56:34.879748 +135 berlin Berlin Berlin \N Germany DE DEU 276 Berlin berlin \N \N \N \N \N \N \N 0 \N t \N \N https://opendata.arcgis.com/datasets/05c3f9d7dea6422b86e30967811bddd7_0.zip zip \N \N \N \N 2022-12-01 00:56:34.912665 +145 hong_kong Hong Kong Hong Kong \N Hong Kong HK HKG 344 Hong Kong hong_kong \N \N \N \N \N \N \N 0 \N f \N https://hub.arcgis.com/datasets/esrihk::old-and-valuable-trees-and-stonewall-trees-in-hong-kong/about https://opendata.arcgis.com/api/v3/datasets/1eb1ece1b6264d5abf85feb067e33508_0/downloads/data?format=geojson&spatialRefId=4326&where=1%3D1 geojson Old_and_Valuable_Trees_and_Stonewall_Trees_in_Hong_Kong.geojson \N \N \N 2022-12-01 00:56:34.939957 +153 amsterdam3 Amsterdam Amsterdam \N Netherlands NL NLD 528 Gemeente Amsterdam amsterdam1 \N \N \N \N \N \N \N 0 \N f \N https://maps.amsterdam.nl/open_geodata/?k=256 https://maps.amsterdam.nl/open_geodata/excel.php?KAARTLAAG=BOMEN&THEMA=bomen3 csv \N \N \N \N 2022-12-01 00:56:34.961319 +161 assen_nl Assen Assen \N Netherlands NL NLD 528 Assen assen_nl \N \N \N \N \N \N \N 0 \N t \N https://data.overheid.nl/dataset/dataset-bomen-assen#panel-4-downloadable-files https://opendata.arcgis.com/datasets/3ad3233b9b1c4fb0bffb23b36b0474c9_0.csv \N \N \N \N \N 2022-12-01 00:56:34.989313 +176 nijmegen_nl Nijmegen Nijmegen \N Netherlands NL NLD 528 Nijmegen nijmegen_nl \N \N \N \N \N \N \N 0 \N t \N https://opendata.nijmegen.nl/dataset/geoserver-bomen-nijmegen https://services.nijmegen.nl/geoservices/extern_OpenData/ows?service=WFS&version=1.1.0&request=GetFeature&typeName=extern_kaartviewer_GRN_BOMEN&outputFormat=csv csv \N \N \N \N 2022-12-01 00:56:35.021376 +185 umea Umea Umea \N Sweden SE SWE 752 Umea umea \N \N \N \N \N \N \N 0 \N f \N https://opendata.umea.se/explore/dataset/trad-som-forvaltas-av-gator-och-parker/export/?disjunctive.tradart_vetenskap_namn_1_1_2&disjunctive.tradart_svenskt_namn_1_1_3 https://opendata.umea.se/explore/dataset/trad-som-forvaltas-av-gator-och-parker/download/?format=shp&timezone=Europe/Stockholm&lang=en zip \N \N \N \N 2022-12-01 00:56:35.071311 +197 craigynos_uk Craig-y-Nos Craig-y-Nos \N United Kingdom GB GBR 826 Craig-y-Nos Country Park craigynos_uk \N \N \N \N \N \N \N 0 \N f \N https://data.gov.uk/dataset/35853f97-5cb9-4779-89aa-87fd4d657595/craig-y-nos-tree-survey https://gis.beacons-npa.gov.uk/geoserver/inspire/ows?service=WFS&version=2.0.0&request=GetFeature&typeName=inspire:cyn_tree_survey gml \N \N \N \N 2022-12-01 00:56:35.096503 +205 boulder Boulder Boulder CO United States of America US USA 840 City of Boulder, Colorado boulder \N \N \N \N \N \N \N 0 \N f \N https://data-boulder.opendata.arcgis.com/datasets/dbbae8bdb0a44d17934243b88e85ef2b_0 https://opendata.arcgis.com/datasets/dbbae8bdb0a44d17934243b88e85ef2b_0.zip zip Tree_Inventory.shp \N \N \N 2022-12-01 00:56:35.119829 +209 pittsburgh Pittsburgh Pittsburgh PA United States of America US USA 840 Pittsburgh pittsburgh \N \N \N \N \N \N \N 0 \N f \N https://data.wprdc.org/dataset/city-trees https://data.wprdc.org/dataset/9ce31f01-1dfa-4a14-9969-a5c5507a4b40/resource/d876927a-d3da-44d1-82e1-24310cdb7baf/download/trees_img.geojson geojson \N \N \N \N 2022-12-01 00:56:35.141731 +228 marysville Marysville Marysville OH United States of America US USA 840 City of Marysville marysville \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/Marysville::individual-trees-sites https://opendata.arcgis.com/datasets/44b6c7a1307d48ff99d2034b5695c149_0.csv \N \N \N \N \N 2022-12-01 00:56:35.187154 +239 durango Durango Durango CO United States of America US USA 840 Durango durango \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/CityOfDurango::city-trees https://opendata.arcgis.com/datasets/3e3e00d6224b43ee9acc514244fffdb9_0.csv \N \N \N \N \N 2022-12-01 00:56:35.215826 +248 escondido Escondido Escondido CA United States of America US USA 840 City of Escondido escondido \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityofEscondido::tree-inventory?geometry=-122.895%2C32.313%2C-111.211%2C33.923 https://opendata.arcgis.com/datasets/ac9caf3c7a9847b78100cc8860ddf51a_0.csv \N \N \N \N \N 2022-12-01 00:56:35.247444 +255 san_jose1 San Jose San Jose CA United States of America US USA 840 San Jose Medians and Backups san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-medians-and-backups https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_1.csv \N \N \N \N \N 2022-12-01 00:56:35.269883 +189 london London London \N United Kingdom GB GBR 826 Greater London Authority london \N \N \N \N \N \N \N 0 \N t \N \N https://data.london.gov.uk/download/local-authority-maintained-trees/c52e733d-bf7e-44b8-9c97-827cb2bc53be/london_street_trees_gla_20180214.csv csv \N \N \N \N 2022-12-01 00:56:35.08415 +207 cambridge Cambridge Cambridge MA United States of America US USA 840 Cambridge cambridge \N \N \N \N \N \N \N 0 \N t \N https://data.cambridgema.gov/Public-Works/Street-Trees/ni4i-5bnn https://data.cambridgema.gov/api/views/q83f-7quz/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:35.126437 +213 cornell Cornell University Ithica NY United States of America US USA 840 Cornell University cornell \N \N \N \N \N \N \N 0 \N f \N https://cugir.library.cornell.edu/catalog/cugir-008025 https://cugir-data.s3.amazonaws.com/00/80/25/cugir-008025.zip zip cugir-008025/CornellTree2009.shp \N \N \N 2022-12-01 00:56:35.145687 +224 allentown Allentown Allentown PA United States of America US USA 840 City of Allentown allentown \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/AllentownPA::city-trees https://opendata.arcgis.com/datasets/4383052db35e4f93bbd83e5bde468a00_0.csv \N \N \N \N \N 2022-12-01 00:56:35.181871 +237 pacific_grove Pacific Grove Pacific Grove CA United States of America US USA 840 Pacific Grove pacific_grove \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityPacificGrove::trees https://opendata.arcgis.com/datasets/87bcc6e824214422be859b3251350829_3.csv \N \N \N \N \N 2022-12-01 00:56:35.213625 +245 wylie Wylie Wylie TX United States of America US USA 840 City of Wylie wylie \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/WylieTX::treesurvey https://opendata.arcgis.com/datasets/82060fffb84045fdafbe2a56c989b353_0.csv \N \N \N \N \N 2022-12-01 00:56:35.242754 +257 san_jose3 San Jose San Jose CA United States of America US USA 840 San Jose General Fund san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-general-fund-street https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_2.csv \N \N \N \N \N 2022-12-01 00:56:35.276491 +198 pdx-park Portland, Oregon Portland, Oregon OR United States of America US USA 840 Portland, Oregon pdx-street \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/83a7e3f6a1d94db09f24849ee90f4be2_220.zip?outSR=%7B%22latestWkid%22%3A3857%2C%22wkid%22%3A102100%7D&session=undefined zip Parks_Tree_Inventory.shp \N \N \N 2022-12-01 00:56:35.101676 +208 berkeley Berkeley Berkeley CA United States of America US USA 840 Berkeley berkeley \N \N \N \N \N \N \N 0 \N f \N https://data.cityofberkeley.info/Natural-Resources/City-Trees/9t35-jmin https://data.cityofberkeley.info/api/views/x39z-ushg/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:35.129959 +212 cary Cary Cary NC United States of America US USA 840 Cary cary \N \N \N \N \N \N \N 0 \N t Broken link, old data source does not have species and common fields. Requires outreach. https://data.townofcary.org/pages/homepage/ https://data.townofcary.org/api/v2/catalog/datasets/cary-trees/exports/csv csv \N \N \N \N 2022-12-01 00:56:35.146085 +225 sioux_falls Sioux Falls Sioux Falls SD United States of America US USA 840 Sioux Falls sioux_falls \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/cityofsfgis::trees https://opendata.arcgis.com/datasets/c880d62ae5fb4652b1f8e6cbca244107_10.csv \N \N \N \N \N 2022-12-01 00:56:35.183597 +236 westerville Westerville Westerville OH United States of America US USA 840 Westerville westerville \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/Westerville::comm-parks-rec-trees/data?geometry=-83.315%2C40.085%2C-82.585%2C40.177 https://opendata.arcgis.com/datasets/137785bc78da47b4a2159f9c76218d55_0.csv \N \N \N \N \N 2022-12-01 00:56:35.211102 +247 auburn Auburn Auburn ME United States of America US USA 840 Auburn auburn \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/AuburnME::treeinventory?geometry=-81.930%2C42.701%2C-58.562%2C45.462 https://opendata.arcgis.com/datasets/91bffc476216422481b511a48796a327_0.csv \N \N \N \N \N 2022-12-01 00:56:35.244373 +256 san_jose2 San Jose San Jose CA United States of America US USA 840 San Jose Special Districts san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-special-districts https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_0.csv \N \N \N \N \N 2022-12-01 00:56:35.274787 +259 test \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-01-29 10:03:17.995198 +264 test12 \N test12 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f Need some trees here Biden http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-15 21:26:41.496678 +261 test2 \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-01-29 10:06:19.127525 +266 test13 \N test13 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f probably some black acacia here http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-15 21:30:15.738449 +267 Tara Yost \N Owensboro CA Liechtenstein BI GNB 0 \N \N \N 55.0104 -9.382 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:48:41.653835 +263 asdfasdf \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-02 01:41:03.387285 +268 Salvatore Pfannerstill \N Shoreline ND Niue BE TUR 0 \N \N \N -38.4377 88.1823 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:50:03.525146 +269 Doris Mosciski \N Arecibo KY Antarctica (the territory South of 60 deg S) DZ MAR 0 \N \N \N 49.6956 -31.4322 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:52:55.232252 +270 Manuel Gorczany \N Bountiful KY Maldives IL LUX 0 \N \N \N -115.7607 -12.6197 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:54:40.749209 +271 Dominick Ryan Sr. \N Waco AK Thailand VI NAM 0 \N \N \N -98.5168 -55.5424 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:59:54.90355 +272 Miss Jack Kemmer \N High Point HI Algeria PY URY 0 \N \N \N -57.6895 -56.7233 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:01:17.191372 +273 Michele Green \N Houston ND Tonga MD COD 0 \N \N \N -158.6059 81.245 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:02:30.742979 +274 Hilda Barrows \N Milford OR Bahrain MC ARG 0 \N \N \N 13.5298 24.3216 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:03:24.235658 +275 Amy O'Connell \N Country Club NJ Iceland GG MAR 0 \N \N \N 90.9534 44.731 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:04:17.012573 +276 Melody Koch \N Vacaville VT Lithuania PM MDV 0 \N \N \N -121.2135 -31.1108 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:04:57.241856 +277 Valerie Klocko \N Colton WV Togo CO ARG 0 \N \N \N -136.8663 41.6975 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:06:18.75293 +278 Beatrice Gaylord \N Richmond OH Guam NO CIV 0 \N \N \N 163.8706 43.191 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:08:06.89058 +279 Annette Turcotte \N South Valley ME Vietnam AT GNQ 0 \N \N \N 140.3428 -56.2093 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:10:11.095127 +280 Winifred Rolfson \N Washington NE Cayman Islands BD UKR 0 \N \N \N 151.8824 39.2938 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:10:56.91393 +281 Dr. Kathryn Kling \N Lewisville AR Portugal LC CUB 0 \N \N \N -112.9147 9.1598 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:12:47.446931 +282 Anna Krajcik \N Gilbert IN Vanuatu SL BWA 0 \N \N \N 31.1935 62.8475 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:15:34.186743 +283 Neal Harber \N Visalia PA Slovenia PK IOT 0 \N \N \N -113.4783 -24.4783 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 17:14:38.24565 +284 Gregg Gerlach \N Wichita Falls NV Faroe Islands BT AIA 0 \N \N \N 123.6504 -1.5011 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:30:57.015351 +285 Donnie Fisher \N Fountainebleau VT Brunei Darussalam AG SWZ 0 \N \N \N -34.7849 -53.3358 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:33:18.299928 +286 Arthur Lesch \N Westminster SD Trinidad and Tobago GQ HND 0 \N \N \N -111.6875 67.2291 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:34:42.764474 +287 Jasmine Schuppe \N Jacksonville MS Cayman Islands CZ ARG 0 \N \N \N 44.4193 -4.6797 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:37:21.897367 +288 test14 \N test14 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 21:54:40.962933 +290 test15 \N test15 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 21:56:54.542901 +292 test16 \N test16 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 22:05:52.911302 +293 Sonia Waelchi \N Tamiami MA Falkland Islands (Malvinas) YT PHL 0 \N \N \N 40.9475 -49.6147 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-17 00:46:20.704859 +294 Meghan Schuster \N Arlington NE Guinea-Bissau TZ MHL 0 \N \N \N 63.0155 -67.3179 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-17 00:47:03.273893 +295 test17 \N test17 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:00:07.159796 +296 test18 \N test18 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:02:10.997632 +297 test19 \N test19 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:03:48.829551 +298 test20 \N test20 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:05:48.441542 +299 newsource-2023-02-17T03:37:01.587Z \N newsource-2023-02-17T03:37:01.587Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:37:01.587Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:37:01.587Z.csv csv newsource-2023-02-17T03:37:01.587Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:37:05.937292 +300 newsource-2023-02-17T03:38:13.334Z \N newsource-2023-02-17T03:38:13.334Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:38:13.334Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:38:13.334Z.csv csv newsource-2023-02-17T03:38:13.334Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:38:20.535474 +301 newsource-2023-02-17T03:42:08.851Z \N newsource-2023-02-17T03:42:08.851Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:42:08.851Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:42:08.851Z.csv csv newsource-2023-02-17T03:42:08.851Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:42:14.872755 +302 newsource-2023-02-17T03:43:50.739Z \N newsource-2023-02-17T03:43:50.739Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:43:50.739Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:43:50.739Z.csv csv newsource-2023-02-17T03:43:50.739Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:43:57.569836 +303 newsource-2023-02-17T03:44:22.659Z \N newsource-2023-02-17T03:44:22.659Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:44:22.659Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:44:22.659Z.csv csv newsource-2023-02-17T03:44:22.659Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:44:26.475406 +304 newsource-2023-02-17T03:46:04.501Z \N newsource-2023-02-17T03:46:04.501Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:04.501Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:04.501Z.csv csv newsource-2023-02-17T03:46:04.501Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:46:08.787753 +305 newsource-2023-02-17T03:46:45.997Z \N newsource-2023-02-17T03:46:45.997Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:45.997Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:45.997Z.csv csv newsource-2023-02-17T03:46:45.997Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:46:50.403506 +60 vienna Vienna Vienna \N Austria AT AUT 40 Vienna vienna \N \N \N \N \N \N \N 0 \N f \N https://www.data.gv.at/katalog/dataset/c91a4635-8b7d-43fe-9b27-d95dec8392a7 https://data.wien.gv.at/daten/geo?service=WFS&request=GetFeature&version=1.1.0&typeName=ogdwien:BAUMKATOGD&srsName=EPSG:4326&outputFormat=csv csv \N \N \N \N 2022-12-01 00:56:34.664985 +73 moncton Moncton Moncton \N Canada CA CAN 124 Moncton moncton \N \N \N \N \N \N \N 0 \N f \N http://ouvert.moncton.ca/datasets/arbres https://opendata.arcgis.com/datasets/60d5b564e732444b81a650c7c4aa548a_0.csv?outSR=%7B%22latestWkid%22%3A2953%2C%22wkid%22%3A2036%7D csv \N \N \N \N 2022-12-01 00:56:34.719679 +85 prince_george Prince George Prince George \N Canada CA CAN 124 Prince George prince_george \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityofPG::trees https://opendata.arcgis.com/datasets/054e46bee4594eb787d574266c832430_3.zip zip \N \N \N \N 2022-12-01 00:56:34.756564 +95 victoriaville Victoriaville Victoriaville \N Canada CA CAN 124 Victoriaville victoriaville \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/victoriaville::tree https://opendata.arcgis.com/datasets/ae1c4b5613334d8a823359565fafb911_12.zip zip \N \N \N \N 2022-12-01 00:56:34.791768 +108 agen Agen Agen \N France FR FRA 250 Agen agen \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/fededc1c-6e42-4a6d-9469-849fd956fbfe zip Arbres.shp \N \N \N 2022-12-01 00:56:34.839687 +116 nevers Nevers Nevers \N France FR FRA 250 Ville de Nevers nevers \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/dbdc2068-ee22-474d-8a42-261554482a4f zip ARBRE_ALIGNEMENT.shp \N \N \N 2022-12-01 00:56:34.863858 +125 bretagne_fr Bretagne Bretagne \N France FR FRA 250 La Région Bretagne bretagne_fr \N \N \N \N \N \N \N 0 \N f \N https://data.bretagne.bzh/explore/dataset/patrimoine-arbore-ponctuel-des-voies-navigables-appartenant-a-la-region-bretagne/export/ https://data.bretagne.bzh/explore/dataset/patrimoine-arbore-ponctuel-des-voies-navigables-appartenant-a-la-region-bretagne/download/?format=shp&timezone=Australia/Sydney&lang=fr \N \N \N \N \N 2022-12-01 00:56:34.888871 +132 bonn Bonn Bonn \N Germany DE DEU 276 Bonn bonn \N \N \N \N \N \N \N 0 \N f \N http://opendata.gis.ms.gov/datasets/esri-de-content::baumkataster-bonn https://opendata.arcgis.com/datasets/f8f130c1dd4e4ea9b5fe1f2385673cab_0.zip zip \N \N \N \N 2022-12-01 00:56:34.910479 +142 gelsenkirchen_de Gelsenkirchen Gelsenkirchen \N Germany DE DEU 276 Gelsenkirchen gelsenkirchen_de \N \N \N \N \N \N \N 0 \N f \N https://opendata.gelsenkirchen.de/dataset/baumkataster-gelsenkirchen https://opendata.gelsenkirchen.de/sites/default/files/baumkataster_ge.csv \N \N \N \N \N 2022-12-01 00:56:34.93192 +150 villa_manin_it Villa_Manin Villa_Manin \N Italy IT ITA 380 Villa_Manin villa_manin_it \N \N \N \N \N \N \N 0 \N f \N https://www.dati.friuliveneziagiulia.it/dataset/Alberi-di-Villa-Manin/uqpq-dr8x https://www.dati.friuliveneziagiulia.it/api/views/uqpq-dr8x/rows.csv?accessType=DOWNLOAD \N \N \N \N \N 2022-12-01 00:56:34.953009 +162 arnhem_nl Arnhem Arnhem \N Netherlands NL NLD 528 Arnhem arnhem_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomenkaart-arnhem#panel-4-downloadable-files https://opendata.arcgis.com/datasets/4d988cd7848049d3a574fcbd477985be_0.csv \N \N \N \N \N 2022-12-01 00:56:34.989308 +183 caceres_es Cáceres Cáceres \N Spain ES ESP 724 Ayuntamiento de Cáceres caceres_es \N \N \N \N \N \N \N 0 \N f \N https://datos.gob.es/es/catalogo/l01100377-arboles-caceres http://opendata.caceres.es/GetData/GetData?dataset=om:Arbol&format=geojson&geojson=Point \N \N \N \N \N 2022-12-01 00:56:35.06477 +190 bristol Bristol Bristol \N United Kingdom GB GBR 826 Bristol bristol \N \N \N \N \N \N \N 0 \N f \N https://opendata.bristol.gov.uk/explore/dataset/trees/export/ https://opendata.bristol.gov.uk/explore/dataset/trees/download/?format=geojson&timezone=Australia/Sydney&lang=en geojson \N \N \N \N 2022-12-01 00:56:35.08928 +201 new-haven New Haven New Haven CT United States of America US USA 840 New Haven new-haven \N \N \N colleen.murphy-dunning@yale.edu Colleen Murphy-Dunning \N \N 0 \N f \N https://urban-resources-initiative.carto.com/me https://urban-resources-initiative.carto.com/api/v2/sql?filename=newhavenstreettrees_carto_mapping_05242022&q=select+*+from+public.newhavenstreettrees_carto_mapping_05242022&format=csv&bounds=&api_key=&skipfields=the_geom_webmercator,the_geom csv new-haven.csv \N \N \N 2022-12-01 00:56:35.113503 +215 wake_forest Wake Forest Wake Forest NC United States of America US USA 840 Town of Wake Forest wake_forest \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/wakeforestnc::trees https://opendata.arcgis.com/datasets/ba930858554a43cca1be2f06a44d2449_0.csv \N \N \N \N \N 2022-12-01 00:56:35.149261 +220 bakersfield Bakersfield Bakersfield CA United States of America US USA 840 Bakersfield bakersfield \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/cob::city-trees?geometry=-129.468%2C33.767%2C-108.539%2C36.903 https://opendata.arcgis.com/datasets/b7a17f7ecb564be4b26ced85016ed1da_0.csv \N \N \N \N \N 2022-12-01 00:56:35.171108 +230 anaheim Anaheim Anaheim CA United States of America US USA 840 Anaheim anaheim \N \N \N \N \N \N \N 0 \N f \N https://data-anaheim.opendata.arcgis.com/datasets/city-trees https://opendata.arcgis.com/datasets/0f96c6cf73904424bc9ce14197990201_41.csv \N \N \N \N \N 2022-12-01 00:56:35.194662 +240 champaign Champaign Champaign IL United States of America US USA 840 Champaign champaign \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/cityofchampaign::city-owned-trees https://opendata.arcgis.com/datasets/979bbeefffea408e8f1cb7a397196c64_22.csv \N \N \N \N \N 2022-12-01 00:56:35.218188 +249 alameda Alameda Alameda CA United States of America US USA 840 Alameda alameda \N \N \N pw@alamedaca.gov Erin Smith \N \N 0 \N f \N http://waterthetrees.com http://waterthetrees.com csv alameda.csv \N \N \N 2022-12-01 00:56:35.259872 +\. + + +-- +-- Name: sources_id_sources_seq; Type: SEQUENCE SET; Schema: public; Owner: trees +-- + +SELECT pg_catalog.setval('public.sources_id_sources_seq', 305, true); + + +-- +-- Name: id_idx; Type: INDEX; Schema: public; Owner: trees +-- + +CREATE UNIQUE INDEX id_idx ON public.sources USING btree (id_source_name); + + +-- +-- PostgreSQL database dump complete +-- + From 3cc74e47d8802d764ad86660f6927a0f8a047ccd Mon Sep 17 00:00:00 2001 From: zoobot Date: Tue, 14 Mar 2023 00:37:44 -0700 Subject: [PATCH 08/10] typo fix --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 05d441d..4621a52 100644 --- a/README.md +++ b/README.md @@ -71,6 +71,8 @@ These files should be run against a local version of postgres for testing. After running the migration, we want to keep the database table files up-to-date. All schema changes and pull requests with migrations should run the -`scipts/fetch-tables.sh` script. This will update all table files in the `tables/` directory. +`scripts/fetch-tables.sh` script. This will update all table files in the `tables/` directory. The script can be run against a local postgres instance. - +```shell +$ ./scripts/fetch-tables.sh +``` From 3774dd09559bc509621b2363bbc807d8bdb9c0df Mon Sep 17 00:00:00 2001 From: zoobot Date: Wed, 15 Mar 2023 18:13:56 -0700 Subject: [PATCH 09/10] treedb.sql update for sources --- treedb.sql | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/treedb.sql b/treedb.sql index 0674b0e..050f292 100644 --- a/treedb.sql +++ b/treedb.sql @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e4e630dbe7ce538087defdbca3cd78005eb905cc7f07209e52839314573bc6b2 -size 113401942 +oid sha256:ab901156e4a66e707748cabe384e6d481f80b887682550462d34d8c08a18b8ab +size 123277523 From c78a44e15315a42383dc4dbe9692cb0ba7d9333d Mon Sep 17 00:00:00 2001 From: zoobot Date: Mon, 20 Mar 2023 01:06:13 -0700 Subject: [PATCH 10/10] code review cleanup --- 2023-02-16_2018_sources.sql | 374 ---------------------------- migrations/2023-02-14-migration.sql | 2 + migrations/2023-02-16-migration.sql | 3 +- 3 files changed, 3 insertions(+), 376 deletions(-) delete mode 100644 2023-02-16_2018_sources.sql diff --git a/2023-02-16_2018_sources.sql b/2023-02-16_2018_sources.sql deleted file mode 100644 index 89b9bb4..0000000 --- a/2023-02-16_2018_sources.sql +++ /dev/null @@ -1,374 +0,0 @@ --- --- PostgreSQL database dump --- - --- Dumped from database version 13.4 (Debian 13.4-4.pgdg110+1) --- Dumped by pg_dump version 14.6 (Homebrew) - -SET statement_timeout = 0; -SET lock_timeout = 0; -SET idle_in_transaction_session_timeout = 0; -SET client_encoding = 'UTF8'; -SET standard_conforming_strings = on; -SELECT pg_catalog.set_config('search_path', '', false); -SET check_function_bodies = false; -SET xmloption = content; -SET client_min_messages = warning; -SET row_security = off; - -DROP INDEX public.id_idx; -DROP TABLE public.sources; -SET default_tablespace = ''; - -SET default_table_access_method = heap; - --- --- Name: sources; Type: TABLE; Schema: public; Owner: trees --- - -CREATE TABLE public.sources ( - id_sources integer NOT NULL, - id_source_name character varying(255), - short character varying(255), - city character varying(255), - state character varying(255), - country character varying(255), - iso_alpha_2 character varying(2), - iso_alpha_3 character varying(3), - numeric_country_code integer DEFAULT 0, - long character varying(255), - main character varying(255), - center character varying(255), - longitude double precision, - latitude double precision, - email character varying(255), - contact character varying(255), - who character varying(255), - phone character varying(255), - trees_per_source_count integer DEFAULT 0, - country_code character varying(10), - broken boolean DEFAULT false, - notes character varying(255), - info text, - download text, - format character varying(255), - filename character varying(255), - gdal_options character varying(255), - license character varying(255), - modified timestamp without time zone, - created timestamp without time zone DEFAULT CURRENT_TIMESTAMP NOT NULL -); - - -ALTER TABLE public.sources OWNER TO trees; - --- --- Name: sources_id_sources_seq; Type: SEQUENCE; Schema: public; Owner: trees --- - -ALTER TABLE public.sources ALTER COLUMN id_sources ADD GENERATED ALWAYS AS IDENTITY ( - SEQUENCE NAME public.sources_id_sources_seq - START WITH 30 - INCREMENT BY 1 - NO MINVALUE - NO MAXVALUE - CACHE 1 -); - - --- --- Data for Name: sources; Type: TABLE DATA; Schema: public; Owner: trees --- - -COPY public.sources (id_sources, id_source_name, short, city, state, country, iso_alpha_2, iso_alpha_3, numeric_country_code, long, main, center, longitude, latitude, email, contact, who, phone, trees_per_source_count, country_code, broken, notes, info, download, format, filename, gdal_options, license, modified, created) FROM stdin; -30 manningham Manningham Manningham \N Australia AU AUS 36 City of Manningham manningham \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/manningham-streettrees/wfs?request=GetFeature&typeName=ckan_1aef5123_24ff_4084_a0f1_a52ca71e9e99&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.344615 -31 adelaide Adelaide Adelaide \N Australia AU AUS 36 City of Adelaide adelaide \N \N \N \N \N \N \N 0 \N f \N \N http://opendata.adelaidecitycouncil.com/street_trees/street_trees.csv csv adelaide.csv -skipfailures \N \N 2022-12-01 00:56:34.410192 -32 corangamite Corangamite Corangamite \N Australia AU AUS 36 Corangamite Shire corangamite \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/corangamite-shire-trees/wfs?request=GetFeature&typeName=ckan_d9677ebb_f3db_45f3_88eb_04089debb9e0&outputFormat=json geojson \N -s_srs EPSG:4326 \N \N 2022-12-01 00:56:34.402621 -35 waite Waite Arboretum Waite Arboretum \N Australia AU AUS 36 Waite Arboretum (Adelaide) waite \N \N \N \N \N \N \N 0 \N t \N \N http://data.sa.gov.au/storage/f/2014-06-23T06%3A12%3A22.180Z/waitetreeid-2014-app-joined-19062014.zip zip WaiteTreeID_2014_App_Joined_19062014.shp \N \N \N 2022-12-01 00:56:34.417399 -33 ballarat Ballarat Ballarat \N Australia AU AUS 36 City of Ballarat ballarat \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/ballarattrees/wfs?request=GetFeature&typeName=ckan_eabaee3f_a563_449b_a04a_1ec847566ea1&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.408341 -36 colac_otways Colac-Otways Colac-Otways \N Australia AU AUS 36 Colac-Otways Shire colac_otways \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/geoserver/colac-otway-shire-trees/wfs?request=GetFeature&typeName=ckan_3ce1805b_cb81_4683_8f46_e7bd2d2a3b7c&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.414297 -34 geelong Geelong Geelong \N Australia AU AUS 36 City of Greater Geelong geelong \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/geelong-trees/wfs?request=GetFeature&typeName=ckan_13b1196c_7fb7_436a_86bc_ab24c16526de&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.403983 -37 buenos_aires2 Buenos Aires2 Buenos Aires2 \N Argentina AR ARG 32 Buenos Aires2 buenos_aires \N \N \N \N \N \N \N 0 \N f \N https://data.buenosaires.gob.ar/dataset/arbolado-publico-lineal http://cdn.buenosaires.gob.ar/datosabiertos/datasets/arbolado-publico-lineal/arbolado-publico-lineal-2017-2018.geojson geojson \N \N \N \N 2022-12-01 00:56:34.45623 -39 burnside Burnside Burnside \N Australia AU AUS 36 City of Burnside burnside \N \N \N \N \N \N \N 0 \N f \N \N https://data.sa.gov.au/data/dataset/b7e1c8f6-169c-41bd-b5d7-140395a41c38/resource/6d1912aa-4775-4f5e-b00d-18456ad872a5/download/burnsidetrees.geojson geojson \N \N \N \N 2022-12-01 00:56:34.50871 -38 buenos_aires Buenos Aires Buenos Aires \N Argentina AR ARG 32 Buenos Aires buenos_aires \N \N \N \N \N \N \N 0 \N f \N https://data.buenosaires.gob.ar/dataset/arbolado-espacios-verdes http://cdn.buenosaires.gob.ar/datosabiertos/datasets/arbolado-en-espacios-verdes/arbolado-en-espacios-verdes.csv csv \N \N \N \N 2022-12-01 00:56:34.452838 -40 melbourne Melbourne Melbourne \N Australia AU AUS 36 City of Melbourne melbourne \N \N \N \N \N \N \N 0 \N f \N \N https://data.melbourne.vic.gov.au/api/views/fp38-wiyy/rows.csv?accessType=DOWNLOAD csv melbourne.csv \N \N \N 2022-12-01 00:56:34.417236 -41 launceston Launceston Launceston \N Australia AU AUS 36 City of Launceston launceston \N \N \N \N \N \N \N 0 \N t \N \N http://lcc.launceston.opendata.arcgis.com/datasets/63b09a3688804a17b0edc4b3b072a0d7_1.zip zip Trees.shp \N \N \N 2022-12-01 00:56:34.565988 -42 hobsons_bay Hobson's Bay Hobson's Bay \N Australia AU AUS 36 City of Hobson's Bay hobsons_bay \N \N \N \N \N \N \N 0 \N t \N \N https://data.gov.au/dataset/80051ffe-04d5-4602-b15b-60e0d0e3d153/resource/ea1ec6fc-02bd-4e36-8e43-c990b6a9268d/download/hbcc_street_and_park_trees.json geojson \N \N \N \N 2022-12-01 00:56:34.589727 -43 glenelg Glenelg Glenelg \N Australia AU AUS 36 Glenelg Shire glenelg \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/dataset/3721ad67-7b5b-4815-96b1-9d8b1a89dbd7/resource/b9ff3d44-17b4-4f87-8a28-2d540fa37d8f/download/Glenelg-Street-and-Park-Trees.csv csv \N \N \N \N 2022-12-01 00:56:34.592166 -44 southern_grampians Southern Grampians Southern Grampians \N Australia AU AUS 36 City of Southern Grampians southern_grampians \N \N \N \N \N \N \N 0 \N t \N \N http://data.gov.au/geoserver/southern-grampians-street-and-park-trees/wfs?request=GetFeature&typeName=ckan_4a2843f5_8c01_438b_95f3_01ef0a518441&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.598154 -45 prospect1 Prospect Prospect \N Australia AU AUS 36 City of Prospect prospect1 \N \N \N \N \N \N \N 0 \N f \N \N https://data.sa.gov.au/data/dataset/5d86d41e-b6c6-47d5-9b88-4d95916c5e76/resource/d1e30913-6e91-4a1f-b576-64120cc4b242/download/city-of-prospect-tree-species-in-reserves-2016.csv csv \N \N \N \N 2022-12-01 00:56:34.599866 -46 prospect2 Prospect Prospect \N Australia AU AUS 36 City of Prospect prospect1 \N \N \N \N \N \N \N 0 \N f \N \N https://data.sa.gov.au/data/dataset/7bf2e4a4-40cc-40fd-83a9-fabb6d854039/resource/3f6be219-d66f-4b40-bfc7-16214fbc0989/download/city-of-prospect-street-trees-2016.csv csv \N \N \N \N 2022-12-01 00:56:34.613224 -47 perth Perth Perth \N Australia AU AUS 36 City of Perth perth \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/c5ce51d9789a4e9a8510acb8c8f3ecf4_0.zip zip PKS_AST_TREESMASTER_PV.shp \N \N \N 2022-12-01 00:56:34.624707 -48 brimbank Brimbank Brimbank \N Australia AU AUS 36 City of Brimbank brimbank \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/brimbank-open-space-trees/wfs?request=GetFeature&typeName=ckan_7a57b5a1_2ca3_4171_be91_0d371cefd250&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.628439 -49 bendigo Bendigo Bendigo \N Australia AU AUS 36 City of Greater Bendigo bendigo \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/city-of-greater-bendigo-environment-trees/wfs?request=GetFeature&typeName=ckan_d17c9e50_fab1_40e6_b91d_6e665faf2656&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.633471 -50 shepparton Shepparton Shepparton \N Australia AU AUS 36 City of Shepparton shepparton \N \N \N \N \N \N \N 0 \N t \N \N https://data.gov.au/dataset/e794491f-2eb7-4035-8b0c-f7248c28feda/resource/a1148573-68b9-4bd8-bda4-f08030d38c9d/download/greatersheppartoncitycouncilstreetandparktrees.zip zip Greater_Shepparton_City_Council_Street_and_Park_Trees.shp \N \N \N 2022-12-01 00:56:34.638558 -51 yarra Yarra Yarra \N Australia AU AUS 36 City of Yarra yarra \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/data/dataset/f3c88ce7-504b-4ef7-907f-686037f7420c/resource/6e4186b0-3e00-48f9-a09c-cb60d1d0d49f/download/yarra-street-and-park-trees.geojson geojson \N \N \N \N 2022-12-01 00:56:34.641517 -52 glen_eira Glen Eira Glen Eira \N Australia AU AUS 36 City of Glen Eira glen_eira \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/street-and-park-trees/wfs?request=GetFeature&typeName=ckan_0553b144_9145_4458_922f_5c6175d2e100&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.643997 -53 wyndham Wyndham Wyndham \N Australia AU AUS 36 City of Wyndham wyndham \N \N \N \N \N \N \N 0 \N t \N \N https://data.gov.au/dataset/0254dee0-5b26-484f-a5ae-5ca3cab46601/resource/fb06e7c8-d037-489b-a963-b747271f2e54/download/trees.json zip OpenData_TI_Trees_LatestInspection.shp -s_srs unzip/OpenData_TI_Trees_LatestInspection.prj \N \N 2022-12-01 00:56:34.64435 -54 boroondara Boroondara Boroondara \N Australia AU AUS 36 City of Boroondara boroondara \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/geoserver/significant-tree/wfs?request=GetFeature&typeName=ckan_14e2b87e_c733_4071_b604_c0cb33d14a42&outputFormat=json geojson \N \N \N \N 2022-12-01 00:56:34.645569 -55 hobart Hobart Hobart \N Australia AU AUS 36 City of Hobart hobart \N \N \N \N \N \N \N 0 \N t \N \N http://data-1-hobartcc.opendata.arcgis.com/datasets/d50fa3c9875d43fbb7e462248160e1ee_0.geojson geojson \N \N \N \N 2022-12-01 00:56:34.64716 -56 wodonga Wodonga Wodonga \N Australia AU AUS 36 City of Wodonga wodonga \N \N \N \N \N \N \N 0 \N f \N \N https://data.gov.au/data/dataset/e7d6ebd3-04a8-4d73-b8ba-a9b82aa79b16/resource/180ba7ad-7bd7-490b-81f8-79c74ec0a915/download/tree.csv csv wodonga.csv \N \N \N 2022-12-01 00:56:34.646963 -64 roosendaal_be Roosendaal Roosendaal \N Belgium BE BEL 56 Gemeente Roosendaal roosendaal_be \N \N \N \N \N \N \N 0 \N f \N https://opendata.roosendaal.nl/datasets/gbi-boom-public https://opendata.arcgis.com/datasets/f97b4a30ac914a73aa7552a96f0ae82d_0.zip \N \N \N \N \N 2022-12-01 00:56:34.674223 -69 quebec Quebec City Quebec City \N Canada CA CAN 124 Quebec City quebec \N \N \N \N \N \N \N 0 \N f \N https://www.donneesquebec.ca/recherche/fr/dataset/vque_26 https://www.donneesquebec.ca/recherche/fr/dataset/34103a43-3712-4a29-92e1-039e9188e915/resource/de031174-cbdf-4d69-869c-21cca8036279/download/vdq-arbrerepertorie.geojson csv \N \N \N \N 2022-12-01 00:56:34.702194 -74 waterloo Waterloo Waterloo \N Canada CA CAN 124 Waterloo waterloo \N \N \N \N \N \N \N 0 \N f \N http://data.waterloo.ca/datasets/2447415303e74bb9acdf0f43c2236b72_0 https://opendata.arcgis.com/datasets/2447415303e74bb9acdf0f43c2236b72_0.zip zip \N \N \N \N 2022-12-01 00:56:34.725224 -81 white_rock White Rock White Rock \N Canada CA CAN 124 City of White Rock white_rock \N \N \N \N \N \N \N 0 \N t \N http://data.whiterockcity.ca/dataset/tree http://wroms.whiterockcity.ca/opendata/GIS/Data/Spatial/Parks/SHP/Tree.zip zip Open_data/GIS/Data/Spatial/Parks/SHP/Tree.shp \N \N \N 2022-12-01 00:56:34.749269 -91 new_west_west New West New West \N Canada CA CAN 124 New West new_west_west \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/newwestcity::trees-west https://opendata.arcgis.com/datasets/eb043d306e4b4652a10b4b7b51f718ab_102.zip zip \N \N \N \N 2022-12-01 00:56:34.776228 -101 chile-osm Chile (OSM) Chile (OSM) \N Chile CH CHL 152 Chile (OSM) chile-osm \N \N \N \N \N \N \N 0 \N f \N \N https://emscycletours.site44.com/opentrees-data/chile.geojson \N \N \N \N \N 2022-12-01 00:56:34.807488 -112 grenoble Grenoble Grenoble \N France FR FRA 250 Grenoble grenoble \N \N \N \N \N \N \N 0 \N t \N http://data.metropolegrenoble.fr/ckan/dataset/les-arbres-de-grenoble http://entrepot.metropolegrenoble.fr/opendata/38185-GRE/EspacePublic/json/ARBRES_TERRITOIRE_VDG_EPSG4326.json geojson \N \N \N \N 2022-12-01 00:56:34.842475 -126 rennes1 Rennes Rennes \N France FR FRA 250 Rennes Métropole rennes1 \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-dornement-des-espaces-verts-de-la-ville-de-rennes-1/ https://www.data.gouv.fr/fr/datasets/r/85d25eb0-b34e-4559-884d-ac052e62c620 zip \N \N \N \N 2022-12-01 00:56:34.876559 -137 hamburg_hafen Hamburg Hafen Hamburg Hafen \N Germany DE DEU 276 Hamburg Hafen hamburg_hafen \N \N \N \N \N \N \N 0 \N f \N https://hub.arcgis.com/datasets/esri-de-content::stra%C3%9Fenbaumkataster-hamburg-hafen https://opendata.arcgis.com/datasets/35950460a3744fa4b088570b2df55718_0.zip zip \N \N \N \N 2022-12-01 00:56:34.91393 -146 fingal Fingal Fingal \N Ireland IE IRL 372 Fingal County fingal \N \N \N \N \N \N \N 0 \N f \N https://data.fingal.ie/datasets/FingalCoCo::trees-fcc-1/explore https://opendata.arcgis.com/api/v3/datasets/1e5f9db62e53443d946c15a1a06fd98b_0/downloads/data?format=geojson&spatialRefId=4326&where=1%3D1 geojson \N \N \N \N 2022-12-01 00:56:34.94345 -155 haag Den Haag Den Haag \N Netherlands NL NLD 528 Den Haag haag \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomen-csv https://ckan.dataplatform.nl/dataset/dd3873f6-b2d0-42e8-94c7-f7b47dcb71f0/resource/7ac8ba4a-586e-43f2-b12e-014079c83f00/download/bomen-csv.zip csv \N \N \N \N 2022-12-01 00:56:34.963704 -163 sliedrecht_nl Sliedrecht Sliedrecht \N Netherlands NL NLD 528 Sliedrecht sliedrecht_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomen-sliedrecht https://ckan.dataplatform.nl/dataset/ab8997d4-8c32-4f96-aa3e-d5961baeaf6f/resource/fc898475-4fa6-47f3-9a9a-8e85acb7b6a4/download/sliedrechtbomen20170412.csv \N \N \N \N \N 2022-12-01 00:56:34.99012 -173 lisbon Lisbon Lisbon \N Portugal PR PRT 620 Lisbon lisbon \N \N \N \N \N \N \N 0 \N f \N http://geodados.cm-lisboa.pt/datasets/arvoredo?geometry=-9.312%2C38.745%2C-9.148%2C38.768 https://opendata.arcgis.com/datasets/202d0f1a7f234e449761af8af14436d6_0.zip zip Arvoredo.shp \N \N \N 2022-12-01 00:56:35.026379 -179 sevilla_es Sevilla Sevilla \N Spain ES ESP 724 Sevilla sevilla_es \N \N \N \N \N \N \N 0 \N f \N https://sevilla-idesevilla.opendata.arcgis.com/datasets/f3393590cea54e3da883f30a27e8a1fd_0 https://sevilla-idesevilla.opendata.arcgis.com/datasets/f3393590cea54e3da883f30a27e8a1fd_0.zip \N \N \N \N \N 2022-12-01 00:56:35.057427 -195 madison Madison Madison WI United States of America US USA 840 Madison madison \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/b700541a20e446839b18d62426c266a3_0.zip zip Street_Trees.shp \N \N \N 2022-12-01 00:56:35.097362 -206 washington-dc Washington DC Washington DC DC United States of America US USA 840 Washington DC washington-dc \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/f6c3c04113944f23a7993f2e603abaf2_23.zip zip Urban_Forestry_Street_Trees.shp \N \N \N 2022-12-01 00:56:35.115489 -218 rochester Rochester Rochester NY United States of America US USA 840 Rochester rochester \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/RochesterNY::trees-open-data https://opendata.arcgis.com/datasets/4c209944e2984b4a908a14b0cbe48075_0.zip zip \N \N \N \N 2022-12-01 00:56:35.148348 -223 richardson Richardson Richardson TX United States of America US USA 840 Richardson richardson \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/richardson::trees https://opendata.arcgis.com/datasets/cd10a9e85354488dbdb697ce97ccb064_0.csv \N \N \N \N \N 2022-12-01 00:56:35.181413 -233 west_chester West Chester West Chester PA United States of America US USA 840 West Chester Borough west_chester \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/WCUPAGIS::borotrees-1?geometry=-87.273%2C38.460%2C-63.905%2C41.408 https://opendata.arcgis.com/datasets/7fdf2b5d2b674e99b33e8d77d052e30c_0.csv \N \N \N \N \N 2022-12-01 00:56:35.207433 -243 nichols_arboretum Nichols Arboretum Ann Arbor MI United States of America US USA 840 Nichols Arboretum nichols_arboretum \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/umich::nichols-arboretum-inventory-survey https://opendata.arcgis.com/datasets/febee55e7dac43298952af77c8f8d809_0.csv \N \N \N \N \N 2022-12-01 00:56:35.238535 -253 naperville Naperville Naperville IL United States of America US USA 840 Naperville naperville \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/naperville::right-of-way-tree-inventory https://opendata.arcgis.com/datasets/51d4726531cd4ef99bfa24b99ae3ba24_0.csv \N \N \N \N \N 2022-12-01 00:56:35.261945 -57 port_phillip Port Phillip Port Phillip \N Australia AU AUS 36 City of Port Phillip port_phillip \N \N \N \N \N \N \N 0 \N t \N \N https://data.gov.au/dataset/6b72d22b-d824-4281-bd08-ab62e3c38415/resource/9b0d7d55-5267-464b-85d7-3d141d779bab/download/city-of-port-phillip-trees.geojson geojson \N \N \N \N 2022-12-01 00:56:34.645807 -67 montreal Montreal Montreal \N Canada CA CAN 124 Montreal montreal \N \N \N \N \N \N \N 0 \N t \N 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Lethbridge Lethbridge \N Canada CA CAN 124 Lethbridge lethbridge_ca \N \N \N \N \N \N \N 0 \N f \N http://opendata.lethbridge.ca/datasets/82841132047d47659508f60c52f6346a_0 https://opendata.arcgis.com/datasets/82841132047d47659508f60c52f6346a_0.zip \N \N \N \N \N 2022-12-01 00:56:34.791718 -111 montpellier Montpellier Montpellier \N France FR FRA 250 Montpellier montpellier \N \N \N \N \N \N \N 0 \N f \N https://data.montpellier3m.fr/dataset/arbres-dalignement-de-montpellier https://data.montpellier3m.fr/sites/default/files/ressources/MMM_MTP_ArbresAlign.zip zip MMM_MTP_ArbresAlign.shp \N \N \N 2022-12-01 00:56:34.842435 -119 orleans Orléans Orléans \N France FR FRA 250 Ville d'Orléans orleans \N \N \N \N \N \N \N 0 \N t \N https://www.data.gouv.fr/fr/datasets/arbres-ville-dorleans/ https://www.data.gouv.fr/fr/datasets/r/804b8b61-9f8f-4a0d-8524-35ea5d6e265f zip \N \N \N \N 2022-12-01 00:56:34.870424 -128 paris_sud_fr Grand Paris Sud Grand Paris Sud \N France FR FRA 250 Grand Paris Sud 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https://data.overheid.nl/dataset/bomen-eindhoven https://ckan.dataplatform.nl/dataset/23d824dc-158f-4e23-8bbf-c10c00ce73cf/resource/0c8e87ba-0fde-48e4-a997-7abd04c7c692/download/bomen29-01.csv csv \N \N \N \N 2022-12-01 00:56:34.978958 -167 alblasserdam_nl Alblasserdam Alblasserdam \N Netherlands NL NLD 528 Alblasserdam alblasserdam_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomen-alblasserdam https://ckan.dataplatform.nl/dataset/74c93ecc-82cc-46fa-8210-04818ae27279/resource/5bc33717-ff42-4aab-8bed-5ed0f618b1f8/download/gegevens-bomen-2017-alblasserdam.csv \N \N \N \N \N 2022-12-01 00:56:35.003942 -177 santiago Santiago de Compostela Santiago de Compostela \N Spain ES ESP 724 Concello de Santiago de Compostela santiago \N \N \N \N \N \N \N 0 \N t \N https://datos.santiagodecompostela.gal/catalogo/gl/dataset/arboredo https://datos.santiagodecompostela.gal/catalogo/dataset/60b1928e-32a9-442a-8f69-0215ba0862a4/resource/fab2344b-3c5c-466b-9e63-2e05e11fd9ce/download/arboredo_points.zip zip \N \N \N \N 2022-12-01 00:56:35.03883 -186 tradportalen Trädportalen Trädportalen \N Sweden SE SWE 752 Trädportalen tradportalen \N \N \N \N \N \N \N 0 \N f \N https://www.tradportalen.se/Summary.aspx https://tradportalen.s3.eu-north-1.amazonaws.com/tradportalen.zip zip data/combined.json \N \N \N 2022-12-01 00:56:35.070695 -191 york York York \N United Kingdom GB GBR 826 City of York Council york \N \N \N \N \N \N \N 0 \N f \N https://data.gov.uk/dataset/12dcc527-a7e2-4b23-a3c5-1501053ff0f5/council-owned-trees https://opendata.arcgis.com/datasets/30f38f358843467daa2d93074a03b8d5_3.csv csv \N \N \N \N 2022-12-01 00:56:35.091406 -200 nyc New York New York NY United States of America US USA 840 New York City nyc \N \N \N \N \N \N \N 0 \N f \N \N 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https://gis.beacons-npa.gov.uk/geoserver/inspire/ows?service=WFS&version=2.0.0&request=GetFeature&typeName=inspire:cyn_tree_survey gml \N \N \N \N 2022-12-01 00:56:35.096503 -205 boulder Boulder Boulder CO United States of America US USA 840 City of Boulder, Colorado boulder \N \N \N \N \N \N \N 0 \N f \N https://data-boulder.opendata.arcgis.com/datasets/dbbae8bdb0a44d17934243b88e85ef2b_0 https://opendata.arcgis.com/datasets/dbbae8bdb0a44d17934243b88e85ef2b_0.zip zip Tree_Inventory.shp \N \N \N 2022-12-01 00:56:35.119829 -209 pittsburgh Pittsburgh Pittsburgh PA United States of America US USA 840 Pittsburgh pittsburgh \N \N \N \N \N \N \N 0 \N f \N https://data.wprdc.org/dataset/city-trees https://data.wprdc.org/dataset/9ce31f01-1dfa-4a14-9969-a5c5507a4b40/resource/d876927a-d3da-44d1-82e1-24310cdb7baf/download/trees_img.geojson geojson \N \N \N \N 2022-12-01 00:56:35.141731 -228 marysville Marysville Marysville OH United States of America US USA 840 City of Marysville marysville \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/Marysville::individual-trees-sites https://opendata.arcgis.com/datasets/44b6c7a1307d48ff99d2034b5695c149_0.csv \N \N \N \N \N 2022-12-01 00:56:35.187154 -239 durango Durango Durango CO United States of America US USA 840 Durango durango \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/CityOfDurango::city-trees https://opendata.arcgis.com/datasets/3e3e00d6224b43ee9acc514244fffdb9_0.csv \N \N \N \N \N 2022-12-01 00:56:35.215826 -248 escondido Escondido Escondido CA United States of America US USA 840 City of Escondido escondido \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityofEscondido::tree-inventory?geometry=-122.895%2C32.313%2C-111.211%2C33.923 https://opendata.arcgis.com/datasets/ac9caf3c7a9847b78100cc8860ddf51a_0.csv \N \N \N \N \N 2022-12-01 00:56:35.247444 -255 san_jose1 San Jose San Jose CA United States of America US USA 840 San Jose Medians and Backups san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-medians-and-backups https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_1.csv \N \N \N \N \N 2022-12-01 00:56:35.269883 -189 london London London \N United Kingdom GB GBR 826 Greater London Authority london \N \N \N \N \N \N \N 0 \N t \N \N https://data.london.gov.uk/download/local-authority-maintained-trees/c52e733d-bf7e-44b8-9c97-827cb2bc53be/london_street_trees_gla_20180214.csv csv \N \N \N \N 2022-12-01 00:56:35.08415 -207 cambridge Cambridge Cambridge MA United States of America US USA 840 Cambridge cambridge \N \N \N \N \N \N \N 0 \N t \N https://data.cambridgema.gov/Public-Works/Street-Trees/ni4i-5bnn https://data.cambridgema.gov/api/views/q83f-7quz/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:35.126437 -213 cornell Cornell University Ithica NY United States of America US USA 840 Cornell University cornell \N \N \N \N \N \N \N 0 \N f \N https://cugir.library.cornell.edu/catalog/cugir-008025 https://cugir-data.s3.amazonaws.com/00/80/25/cugir-008025.zip zip cugir-008025/CornellTree2009.shp \N \N \N 2022-12-01 00:56:35.145687 -224 allentown Allentown Allentown PA United States of America US USA 840 City of Allentown allentown \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/AllentownPA::city-trees https://opendata.arcgis.com/datasets/4383052db35e4f93bbd83e5bde468a00_0.csv \N \N \N \N \N 2022-12-01 00:56:35.181871 -237 pacific_grove Pacific Grove Pacific Grove CA United States of America US USA 840 Pacific Grove pacific_grove \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityPacificGrove::trees https://opendata.arcgis.com/datasets/87bcc6e824214422be859b3251350829_3.csv \N \N \N \N \N 2022-12-01 00:56:35.213625 -245 wylie Wylie Wylie TX United States of America US USA 840 City of Wylie wylie \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/WylieTX::treesurvey https://opendata.arcgis.com/datasets/82060fffb84045fdafbe2a56c989b353_0.csv \N \N \N \N \N 2022-12-01 00:56:35.242754 -257 san_jose3 San Jose San Jose CA United States of America US USA 840 San Jose General Fund san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-general-fund-street https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_2.csv \N \N \N \N \N 2022-12-01 00:56:35.276491 -198 pdx-park Portland, Oregon Portland, Oregon OR United States of America US USA 840 Portland, Oregon pdx-street \N \N \N \N \N \N \N 0 \N f \N \N https://opendata.arcgis.com/datasets/83a7e3f6a1d94db09f24849ee90f4be2_220.zip?outSR=%7B%22latestWkid%22%3A3857%2C%22wkid%22%3A102100%7D&session=undefined zip Parks_Tree_Inventory.shp \N \N \N 2022-12-01 00:56:35.101676 -208 berkeley Berkeley Berkeley CA United States of America US USA 840 Berkeley berkeley \N \N \N \N \N \N \N 0 \N f \N https://data.cityofberkeley.info/Natural-Resources/City-Trees/9t35-jmin https://data.cityofberkeley.info/api/views/x39z-ushg/rows.csv?accessType=DOWNLOAD csv \N \N \N \N 2022-12-01 00:56:35.129959 -212 cary Cary Cary NC United States of America US USA 840 Cary cary \N \N \N \N \N \N \N 0 \N t Broken link, old data source does not have species and common fields. Requires outreach. https://data.townofcary.org/pages/homepage/ https://data.townofcary.org/api/v2/catalog/datasets/cary-trees/exports/csv csv \N \N \N \N 2022-12-01 00:56:35.146085 -225 sioux_falls Sioux Falls Sioux Falls SD United States of America US USA 840 Sioux Falls sioux_falls \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/cityofsfgis::trees https://opendata.arcgis.com/datasets/c880d62ae5fb4652b1f8e6cbca244107_10.csv \N \N \N \N \N 2022-12-01 00:56:35.183597 -236 westerville Westerville Westerville OH United States of America US USA 840 Westerville westerville \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/Westerville::comm-parks-rec-trees/data?geometry=-83.315%2C40.085%2C-82.585%2C40.177 https://opendata.arcgis.com/datasets/137785bc78da47b4a2159f9c76218d55_0.csv \N \N \N \N \N 2022-12-01 00:56:35.211102 -247 auburn Auburn Auburn ME United States of America US USA 840 Auburn auburn \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/AuburnME::treeinventory?geometry=-81.930%2C42.701%2C-58.562%2C45.462 https://opendata.arcgis.com/datasets/91bffc476216422481b511a48796a327_0.csv \N \N \N \N \N 2022-12-01 00:56:35.244373 -256 san_jose2 San Jose San Jose CA United States of America US USA 840 San Jose Special Districts san_jose1 \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/csjdotgis::trees-special-districts https://opendata.arcgis.com/datasets/0b0ad30145394b1588ff09ef1a7c9225_0.csv \N \N \N \N \N 2022-12-01 00:56:35.274787 -259 test \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-01-29 10:03:17.995198 -264 test12 \N test12 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f Need some trees here Biden http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-15 21:26:41.496678 -261 test2 \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-01-29 10:06:19.127525 -266 test13 \N test13 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f probably some black acacia here http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-15 21:30:15.738449 -267 Tara Yost \N Owensboro CA Liechtenstein BI GNB 0 \N \N \N 55.0104 -9.382 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:48:41.653835 -263 asdfasdf \N \N \N United States of America \N \N 0 \N \N \N \N \N \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-02 01:41:03.387285 -268 Salvatore Pfannerstill \N Shoreline ND Niue BE TUR 0 \N \N \N -38.4377 88.1823 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:50:03.525146 -269 Doris Mosciski \N Arecibo KY Antarctica (the territory South of 60 deg S) DZ MAR 0 \N \N \N 49.6956 -31.4322 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:52:55.232252 -270 Manuel Gorczany \N Bountiful KY Maldives IL LUX 0 \N \N \N -115.7607 -12.6197 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:54:40.749209 -271 Dominick Ryan Sr. \N Waco AK Thailand VI NAM 0 \N \N \N -98.5168 -55.5424 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 09:59:54.90355 -272 Miss Jack Kemmer \N High Point HI Algeria PY URY 0 \N \N \N -57.6895 -56.7233 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:01:17.191372 -273 Michele Green \N Houston ND Tonga MD COD 0 \N \N \N -158.6059 81.245 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:02:30.742979 -274 Hilda Barrows \N Milford OR Bahrain MC ARG 0 \N \N \N 13.5298 24.3216 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:03:24.235658 -275 Amy O'Connell \N Country Club NJ Iceland GG MAR 0 \N \N \N 90.9534 44.731 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:04:17.012573 -276 Melody Koch \N Vacaville VT Lithuania PM MDV 0 \N \N \N -121.2135 -31.1108 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:04:57.241856 -277 Valerie Klocko \N Colton WV Togo CO ARG 0 \N \N \N -136.8663 41.6975 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:06:18.75293 -278 Beatrice Gaylord \N Richmond OH Guam NO CIV 0 \N \N \N 163.8706 43.191 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:08:06.89058 -279 Annette Turcotte \N South Valley ME Vietnam AT GNQ 0 \N \N \N 140.3428 -56.2093 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:10:11.095127 -280 Winifred Rolfson \N Washington NE Cayman Islands BD UKR 0 \N \N \N 151.8824 39.2938 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:10:56.91393 -281 Dr. Kathryn Kling \N Lewisville AR Portugal LC CUB 0 \N \N \N -112.9147 9.1598 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:12:47.446931 -282 Anna Krajcik \N Gilbert IN Vanuatu SL BWA 0 \N \N \N 31.1935 62.8475 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 10:15:34.186743 -283 Neal Harber \N Visalia PA Slovenia PK IOT 0 \N \N \N -113.4783 -24.4783 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 17:14:38.24565 -284 Gregg Gerlach \N Wichita Falls NV Faroe Islands BT AIA 0 \N \N \N 123.6504 -1.5011 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:30:57.015351 -285 Donnie Fisher \N Fountainebleau VT Brunei Darussalam AG SWZ 0 \N \N \N -34.7849 -53.3358 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:33:18.299928 -286 Arthur Lesch \N Westminster SD Trinidad and Tobago GQ HND 0 \N \N \N -111.6875 67.2291 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:34:42.764474 -287 Jasmine Schuppe \N Jacksonville MS Cayman Islands CZ ARG 0 \N \N \N 44.4193 -4.6797 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-16 18:37:21.897367 -288 test14 \N test14 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 21:54:40.962933 -290 test15 \N test15 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 21:56:54.542901 -292 test16 \N test16 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-16 22:05:52.911302 -293 Sonia Waelchi \N Tamiami MA Falkland Islands (Malvinas) YT PHL 0 \N \N \N 40.9475 -49.6147 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-17 00:46:20.704859 -294 Meghan Schuster \N Arlington NE Guinea-Bissau TZ MHL 0 \N \N \N 63.0155 -67.3179 \N \N \N \N 0 \N f \N \N \N \N \N \N \N \N 2023-02-17 00:47:03.273893 -295 test17 \N test17 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:00:07.159796 -296 test18 \N test18 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:02:10.997632 -297 test19 \N test19 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:03:48.829551 -298 test20 \N test20 \N United States of America \N \N 0 \N \N \N -99.08 41.03 goods@swezlex.com rose \N \N 0 \N f http://waterthetrees.com http://waterthetrees.com csv test \N Water the Trees License (WTT) \N 2023-02-17 03:05:48.441542 -299 newsource-2023-02-17T03:37:01.587Z \N newsource-2023-02-17T03:37:01.587Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:37:01.587Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:37:01.587Z.csv csv newsource-2023-02-17T03:37:01.587Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:37:05.937292 -300 newsource-2023-02-17T03:38:13.334Z \N newsource-2023-02-17T03:38:13.334Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:38:13.334Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:38:13.334Z.csv csv newsource-2023-02-17T03:38:13.334Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:38:20.535474 -301 newsource-2023-02-17T03:42:08.851Z \N newsource-2023-02-17T03:42:08.851Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:42:08.851Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:42:08.851Z.csv csv newsource-2023-02-17T03:42:08.851Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:42:14.872755 -302 newsource-2023-02-17T03:43:50.739Z \N newsource-2023-02-17T03:43:50.739Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:43:50.739Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:43:50.739Z.csv csv newsource-2023-02-17T03:43:50.739Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:43:57.569836 -303 newsource-2023-02-17T03:44:22.659Z \N newsource-2023-02-17T03:44:22.659Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:44:22.659Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:44:22.659Z.csv csv newsource-2023-02-17T03:44:22.659Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:44:26.475406 -304 newsource-2023-02-17T03:46:04.501Z \N newsource-2023-02-17T03:46:04.501Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:04.501Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:04.501Z.csv csv newsource-2023-02-17T03:46:04.501Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:46:08.787753 -305 newsource-2023-02-17T03:46:45.997Z \N newsource-2023-02-17T03:46:45.997Z \N United States of America \N \N 0 \N \N \N -99.08 41.03 info@waterthetrees.com Water the Trees \N \N 0 \N f notes https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:45.997Z.csv https://waterthetrees.com/api/csv/newsource-2023-02-17T03:46:45.997Z.csv csv newsource-2023-02-17T03:46:45.997Z.csv \N Water the Trees License (WTT) \N 2023-02-17 03:46:50.403506 -60 vienna Vienna Vienna \N Austria AT AUT 40 Vienna vienna \N \N \N \N \N \N \N 0 \N f \N https://www.data.gv.at/katalog/dataset/c91a4635-8b7d-43fe-9b27-d95dec8392a7 https://data.wien.gv.at/daten/geo?service=WFS&request=GetFeature&version=1.1.0&typeName=ogdwien:BAUMKATOGD&srsName=EPSG:4326&outputFormat=csv csv \N \N \N \N 2022-12-01 00:56:34.664985 -73 moncton Moncton Moncton \N Canada CA CAN 124 Moncton moncton \N \N \N \N \N \N \N 0 \N f \N http://ouvert.moncton.ca/datasets/arbres https://opendata.arcgis.com/datasets/60d5b564e732444b81a650c7c4aa548a_0.csv?outSR=%7B%22latestWkid%22%3A2953%2C%22wkid%22%3A2036%7D csv \N \N \N \N 2022-12-01 00:56:34.719679 -85 prince_george Prince George Prince George \N Canada CA CAN 124 Prince George prince_george \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/CityofPG::trees https://opendata.arcgis.com/datasets/054e46bee4594eb787d574266c832430_3.zip zip \N \N \N \N 2022-12-01 00:56:34.756564 -95 victoriaville Victoriaville Victoriaville \N Canada CA CAN 124 Victoriaville victoriaville \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/victoriaville::tree https://opendata.arcgis.com/datasets/ae1c4b5613334d8a823359565fafb911_12.zip zip \N \N \N \N 2022-12-01 00:56:34.791768 -108 agen Agen Agen \N France FR FRA 250 Agen agen \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/fededc1c-6e42-4a6d-9469-849fd956fbfe zip Arbres.shp \N \N \N 2022-12-01 00:56:34.839687 -116 nevers Nevers Nevers \N France FR FRA 250 Ville de Nevers nevers \N \N \N \N \N \N \N 0 \N t \N \N https://www.data.gouv.fr/fr/datasets/r/dbdc2068-ee22-474d-8a42-261554482a4f zip ARBRE_ALIGNEMENT.shp \N \N \N 2022-12-01 00:56:34.863858 -125 bretagne_fr Bretagne Bretagne \N France FR FRA 250 La Région Bretagne bretagne_fr \N \N \N \N \N \N \N 0 \N f \N https://data.bretagne.bzh/explore/dataset/patrimoine-arbore-ponctuel-des-voies-navigables-appartenant-a-la-region-bretagne/export/ https://data.bretagne.bzh/explore/dataset/patrimoine-arbore-ponctuel-des-voies-navigables-appartenant-a-la-region-bretagne/download/?format=shp&timezone=Australia/Sydney&lang=fr \N \N \N \N \N 2022-12-01 00:56:34.888871 -132 bonn Bonn Bonn \N Germany DE DEU 276 Bonn bonn \N \N \N \N \N \N \N 0 \N f \N http://opendata.gis.ms.gov/datasets/esri-de-content::baumkataster-bonn https://opendata.arcgis.com/datasets/f8f130c1dd4e4ea9b5fe1f2385673cab_0.zip zip \N \N \N \N 2022-12-01 00:56:34.910479 -142 gelsenkirchen_de Gelsenkirchen Gelsenkirchen \N Germany DE DEU 276 Gelsenkirchen gelsenkirchen_de \N \N \N \N \N \N \N 0 \N f \N https://opendata.gelsenkirchen.de/dataset/baumkataster-gelsenkirchen https://opendata.gelsenkirchen.de/sites/default/files/baumkataster_ge.csv \N \N \N \N \N 2022-12-01 00:56:34.93192 -150 villa_manin_it Villa_Manin Villa_Manin \N Italy IT ITA 380 Villa_Manin villa_manin_it \N \N \N \N \N \N \N 0 \N f \N https://www.dati.friuliveneziagiulia.it/dataset/Alberi-di-Villa-Manin/uqpq-dr8x https://www.dati.friuliveneziagiulia.it/api/views/uqpq-dr8x/rows.csv?accessType=DOWNLOAD \N \N \N \N \N 2022-12-01 00:56:34.953009 -162 arnhem_nl Arnhem Arnhem \N Netherlands NL NLD 528 Arnhem arnhem_nl \N \N \N \N \N \N \N 0 \N f \N https://data.overheid.nl/dataset/bomenkaart-arnhem#panel-4-downloadable-files https://opendata.arcgis.com/datasets/4d988cd7848049d3a574fcbd477985be_0.csv \N \N \N \N \N 2022-12-01 00:56:34.989308 -183 caceres_es Cáceres Cáceres \N Spain ES ESP 724 Ayuntamiento de Cáceres caceres_es \N \N \N \N \N \N \N 0 \N f \N https://datos.gob.es/es/catalogo/l01100377-arboles-caceres http://opendata.caceres.es/GetData/GetData?dataset=om:Arbol&format=geojson&geojson=Point \N \N \N \N \N 2022-12-01 00:56:35.06477 -190 bristol Bristol Bristol \N United Kingdom GB GBR 826 Bristol bristol \N \N \N \N \N \N \N 0 \N f \N https://opendata.bristol.gov.uk/explore/dataset/trees/export/ https://opendata.bristol.gov.uk/explore/dataset/trees/download/?format=geojson&timezone=Australia/Sydney&lang=en geojson \N \N \N \N 2022-12-01 00:56:35.08928 -201 new-haven New Haven New Haven CT United States of America US USA 840 New Haven new-haven \N \N \N colleen.murphy-dunning@yale.edu Colleen Murphy-Dunning \N \N 0 \N f \N https://urban-resources-initiative.carto.com/me https://urban-resources-initiative.carto.com/api/v2/sql?filename=newhavenstreettrees_carto_mapping_05242022&q=select+*+from+public.newhavenstreettrees_carto_mapping_05242022&format=csv&bounds=&api_key=&skipfields=the_geom_webmercator,the_geom csv new-haven.csv \N \N \N 2022-12-01 00:56:35.113503 -215 wake_forest Wake Forest Wake Forest NC United States of America US USA 840 Town of Wake Forest wake_forest \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/wakeforestnc::trees https://opendata.arcgis.com/datasets/ba930858554a43cca1be2f06a44d2449_0.csv \N \N \N \N \N 2022-12-01 00:56:35.149261 -220 bakersfield Bakersfield Bakersfield CA United States of America US USA 840 Bakersfield bakersfield \N \N \N \N \N \N \N 0 \N t \N http://hub.arcgis.com/datasets/cob::city-trees?geometry=-129.468%2C33.767%2C-108.539%2C36.903 https://opendata.arcgis.com/datasets/b7a17f7ecb564be4b26ced85016ed1da_0.csv \N \N \N \N \N 2022-12-01 00:56:35.171108 -230 anaheim Anaheim Anaheim CA United States of America US USA 840 Anaheim anaheim \N \N \N \N \N \N \N 0 \N f \N https://data-anaheim.opendata.arcgis.com/datasets/city-trees https://opendata.arcgis.com/datasets/0f96c6cf73904424bc9ce14197990201_41.csv \N \N \N \N \N 2022-12-01 00:56:35.194662 -240 champaign Champaign Champaign IL United States of America US USA 840 Champaign champaign \N \N \N \N \N \N \N 0 \N f \N http://hub.arcgis.com/datasets/cityofchampaign::city-owned-trees https://opendata.arcgis.com/datasets/979bbeefffea408e8f1cb7a397196c64_22.csv \N \N \N \N \N 2022-12-01 00:56:35.218188 -249 alameda Alameda Alameda CA United States of America US USA 840 Alameda alameda \N \N \N pw@alamedaca.gov Erin Smith \N \N 0 \N f \N http://waterthetrees.com http://waterthetrees.com csv alameda.csv \N \N \N 2022-12-01 00:56:35.259872 -\. - - --- --- Name: sources_id_sources_seq; Type: SEQUENCE SET; Schema: public; Owner: trees --- - -SELECT pg_catalog.setval('public.sources_id_sources_seq', 305, true); - - --- --- Name: id_idx; Type: INDEX; Schema: public; Owner: trees --- - -CREATE UNIQUE INDEX id_idx ON public.sources USING btree (id_source_name); - - --- --- PostgreSQL database dump complete --- - diff --git a/migrations/2023-02-14-migration.sql b/migrations/2023-02-14-migration.sql index 4fef92e..367a71d 100644 --- a/migrations/2023-02-14-migration.sql +++ b/migrations/2023-02-14-migration.sql @@ -6,6 +6,8 @@ ALTER TABLE "crosswalk" RENAME COLUMN "ref" to id_reference; ALTER TABLE "sources" DROP COLUMN id_city_name; ALTER TABLE "cities" DROP COLUMN id_source; ALTER TABLE "sources" DROP COLUMN id_name2; +ALTER TABLE "sources" DROP COLUMN broken_reason; +ALTER TABLE "sources" ADD notes text; ALTER TABLE "treedata" ADD dbh_min INTEGER; ALTER TABLE "treedata" ADD dbh_max INTEGER; diff --git a/migrations/2023-02-16-migration.sql b/migrations/2023-02-16-migration.sql index 204dd03..54f8676 100644 --- a/migrations/2023-02-16-migration.sql +++ b/migrations/2023-02-16-migration.sql @@ -1,5 +1,4 @@ -ALTER TABLE "sources" RENAME COLUMN "broken_reason" to notes; -ALTER TABLE "crosswalk" RENAME COLUMN "longitude" to longitude; +ALTER TABLE "crosswalk" RENAME COLUMN "lng" to longitude; ALTER TABLE "crosswalk" RENAME COLUMN "lat" to latitude; ALTER TABLE "crosswalk" ADD id_reference VARCHAR(255); ALTER TABLE "crosswalk" ADD class VARCHAR(255);