diff --git a/examples/02_knmi_observations.ipynb b/examples/02_knmi_observations.ipynb
index de33e34d..91a1630c 100644
--- a/examples/02_knmi_observations.ipynb
+++ b/examples/02_knmi_observations.ipynb
@@ -1477,11 +1477,10 @@
     "oc = hpd.ObsCollection([precip1, precip2])\n",
     "gdf = oc.to_gdf()\n",
     "gdf = gdf.set_crs(28992)\n",
-    "gdf = gdf.to_crs(3857)\n",
     "gdf[\"name\"] = gdf.index\n",
     "ax = gdf.buffer(2000).plot(alpha=0, figsize=(8, 8))\n",
     "gdf.plot(\"name\", ax=ax, cmap=\"jet\", legend=True, markersize=100)\n",
-    "cx.add_basemap(ax)"
+    "cx.add_basemap(ax, crs=28992)"
    ]
   },
   {
@@ -3331,9 +3330,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "hpd_env",
+   "display_name": "dev",
    "language": "python",
-   "name": "python3"
+   "name": "dev"
   },
   "language_info": {
    "codemirror_mode": {
@@ -3345,7 +3344,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,
diff --git a/hydropandas/io/bro.py b/hydropandas/io/bro.py
index 01f1ae4b..7b249d91 100644
--- a/hydropandas/io/bro.py
+++ b/hydropandas/io/bro.py
@@ -148,14 +148,12 @@ def get_bro_groundwater(bro_id, tube_nr=None, only_metadata=False, **kwargs):
             empty_df = pd.DataFrame()
             return empty_df, meta
 
+        dfl = []
         for i, gld_id in enumerate(gld_ids):
-            if i == 0:
-                df, meta_new = measurements_from_gld(gld_id, **kwargs)
-                meta.update(meta_new)
-            else:
-                df_new, meta_new = measurements_from_gld(gld_id, **kwargs)
-                df = pd.concat([df, df_new], axis=1)
-                meta.update(meta_new)
+            df, meta_new = measurements_from_gld(gld_id, **kwargs)
+            meta.update(meta_new)
+            dfl.append(df)
+        df = pd.concat(dfl, axis=0)
 
         return df, meta
 
@@ -305,7 +303,7 @@ def measurements_from_gld(
 
     # to dataframe
     df = pd.DataFrame(
-        index=pd.to_datetime(times),
+        index=pd.to_datetime(times, utc=True).tz_convert("CET"),
         data={"values": values, "qualifier": qualifiers},
     )
 
@@ -313,7 +311,7 @@ def measurements_from_gld(
     if to_wintertime:
         # remove time zone information by transforming to dutch winter time
         df.index = pd.to_datetime(df.index, utc=True).tz_localize(None) + pd.Timedelta(
-            1, unit="H"
+            1, unit="h"
         )
 
     # duplicates
diff --git a/hydropandas/io/knmi.py b/hydropandas/io/knmi.py
index 0e50537d..cbe4aede 100644
--- a/hydropandas/io/knmi.py
+++ b/hydropandas/io/knmi.py
@@ -108,7 +108,9 @@ def get_knmi_obs(
         ts, meta = get_knmi_timeseries_stn(stn, meteo_var, settings, start, end)
     elif fname is not None:
         logger.info(f"get KNMI data from file {fname} and meteo variable {meteo_var}")
-        ts, meta = get_knmi_timeseries_fname(fname, meteo_var, settings, start, end)
+        ts, meta = get_knmi_timeseries_fname(
+            str(fname), meteo_var, settings, start, end
+        )
     elif xy is not None:
         logger.info(
             f"get KNMI data from station nearest to coordinates {xy} and meteo"
diff --git a/hydropandas/io/lizard.py b/hydropandas/io/lizard.py
index d93e6358..694e1b78 100644
--- a/hydropandas/io/lizard.py
+++ b/hydropandas/io/lizard.py
@@ -161,7 +161,7 @@ def _prepare_API_input(nr_pages, url_groundwater):
     urls = []
     for page in range(nr_pages):
         true_page = page + 1  # The real page number is attached to the import thread
-        urls = [url_groundwater + "&page={}".format(true_page)]
+        urls += [url_groundwater + "&page={}".format(true_page)]
     return urls
 
 
@@ -185,6 +185,32 @@ def _download(url, timeout=1800):
     return data
 
 
+def _split_mw_tube_nr(code):
+    """get the tube number from a code that consists of the name and the tube number.
+
+    Parameters
+    ----------
+    code : str
+        name + tube_nr. e.g. 'BUWP014-11' or 'BUWP014012'
+
+    Returns
+    -------
+    monitoring well, tube_number (str, int)
+
+    Notes
+    -----
+    The format of the name + tube_nr is not very consistent and this function may need
+    further finetuning.
+    """
+
+    if code[-3:].isdigit():
+        return code[:-3], int(code[-3:])
+    else:
+        # assume there is a '-' to split name and filter number
+        tube_nr = code.split("-")[-1]
+        return code.strip(f"-{tube_nr}"), int(tube_nr)
+
+
 def get_metadata_tube(metadata_mw, tube_nr):
     """Extract the metadata for a specific tube from the monitoring well metadata.
 
@@ -218,19 +244,54 @@ def get_metadata_tube(metadata_mw, tube_nr):
         "status": None,
     }
 
+    metadata_tube_list = []
     for metadata_tube in metadata_mw["filters"]:
-        if metadata_tube["code"].endswith(str(tube_nr)):
-            break
-    else:
+        # check if name+filternr ends with three digits
+        code, tbnr = _split_mw_tube_nr(metadata_tube["code"])
+        if tbnr == tube_nr:
+            metadata_tube_list.append(metadata_tube)
+
+    if len(metadata_tube_list) == 0:
         raise ValueError(f"{metadata_mw['name']} doesn't have a tube number {tube_nr}")
+    elif len(metadata_tube_list) == 1:
+        mtd_tube = metadata_tube_list[0]
+    elif len(metadata_tube_list) > 1:
+        # tube has probably been replaced, multiple tubes with the same code and tube nr
+        # merge metadata from all tubes
+        logger.info(
+            f"there are {len(metadata_tube_list)} instances of {code} and tube "
+            f"{tube_nr}, trying to merge all in one observation object"
+        )
+        mtd_tube = metadata_tube_list[0].copy()
+        relevant_keys = {
+            "top_level",
+            "filter_top_level",
+            "filter_bottom_level",
+            "timeseries",
+        }
+        for metadata_tube in metadata_tube_list:
+            for key in set(metadata_tube.keys()) & relevant_keys:
+                # check if properties are always the same for a tube number
+                val = metadata_tube[key]
+                if key in ["top_level", "filter_top_level", "filter_bottom_level"]:
+                    if val != mtd_tube[key]:
+                        logger.warning(
+                            f"multiple {key} values found ({val} & {mtd_tube[key]})"
+                            f" for {code} and tube {tube_nr}, using {mtd_tube[key]}"
+                        )
+                # merge time series from all tubes with the same code and tube number
+                elif key == "timeseries":
+                    mtd_tube[key] += val
+
+        mtd_tube["code"] = f"{code}{tube_nr}"
 
     metadata.update(
         {
             "tube_nr": tube_nr,
-            "name": metadata_tube["code"].replace("-", ""),
-            "tube_top": metadata_tube["top_level"],
-            "screen_top": metadata_tube["filter_top_level"],
-            "screen_bottom": metadata_tube["filter_bottom_level"],
+            "name": mtd_tube["code"].replace("-", ""),
+            "tube_top": mtd_tube["top_level"],
+            "screen_top": mtd_tube["filter_top_level"],
+            "screen_bottom": mtd_tube["filter_bottom_level"],
         }
     )
 
@@ -238,10 +299,10 @@ def get_metadata_tube(metadata_mw, tube_nr):
     transformer = Transformer.from_crs("WGS84", "EPSG:28992")
     metadata["x"], metadata["y"] = transformer.transform(lat, lon)
 
-    if not metadata_tube["timeseries"]:
+    if not mtd_tube["timeseries"]:
         metadata["timeseries_type"] = None
     else:
-        for series in metadata_tube["timeseries"]:
+        for series in mtd_tube["timeseries"]:
             series_info = requests.get(series).json()
             if series_info["name"] == "WNS9040.hand":
                 metadata["uuid_hand"] = series_info["uuid"]
@@ -382,8 +443,6 @@ def _combine_timeseries(hand_measurements, diver_measurements):
     measurements = measurements.loc[
         :, ["value_hand", "value_diver", "flag_hand", "flag_diver"]
     ]
-    measurements.loc[:, "name"] = hand_measurements.loc[:, "name"][0]
-    measurements.loc[:, "filter_nr"] = hand_measurements.loc[:, "filter_nr"][0]
 
     return measurements
 
@@ -413,6 +472,7 @@ def get_timeseries_tube(tube_metadata, tmin, tmax, type_timeseries):
     metadata_df : dict
         metadata of the monitoring well
     """
+
     if tube_metadata["timeseries_type"] is None:
         return pd.DataFrame(), tube_metadata
 
@@ -559,18 +619,23 @@ class of the observations, e.g. GroundwaterObs
     obs_list = []
     for code in codes:
         groundwaterstation_metadata = get_metadata_mw_from_code(code)
+        tubes = []
         if tube_nr == "all":
             for metadata_tube in groundwaterstation_metadata["filters"]:
-                tube_nr = int(metadata_tube["code"][-3:])
-                o = ObsClass.from_lizard(
-                    code,
-                    tube_nr,
-                    tmin,
-                    tmax,
-                    type_timeseries,
-                    only_metadata=only_metadata,
-                )
-                obs_list.append(o)
+                tnr = _split_mw_tube_nr(metadata_tube["code"])[-1]
+                if tnr not in tubes:
+                    logger.info(f"get {code}{tnr}")
+                    o = ObsClass.from_lizard(
+                        code,
+                        tnr,
+                        tmin,
+                        tmax,
+                        type_timeseries,
+                        only_metadata=only_metadata,
+                    )
+                    obs_list.append(o)
+                    tubes.append(tnr)
+
         else:
             o = ObsClass.from_lizard(
                 code, tube_nr, tmin, tmax, type_timeseries, only_metadata=only_metadata
diff --git a/hydropandas/io/solinst.py b/hydropandas/io/solinst.py
new file mode 100644
index 00000000..1b145380
--- /dev/null
+++ b/hydropandas/io/solinst.py
@@ -0,0 +1,138 @@
+import logging
+import os
+import zipfile
+
+import numpy as np
+import pandas as pd
+from pyproj import Transformer
+
+logger = logging.getLogger(__name__)
+
+
+def read_solinst_file(
+    path,
+    transform_coords=True,
+):
+    """Read Solinst logger file (XLE)
+
+    Parameters
+    ----------
+    path : str
+        path to Solinst file (.xle)
+    transform_coords : boolean
+        convert coordinates from WGS84 to RD
+
+    Returns
+    -------
+    df : pandas.DataFrame
+        DataFrame containing file content
+    meta : dict, optional
+        dict containing meta
+    """
+
+    # open file
+    path = str(path)
+    name = os.path.splitext(os.path.basename(path))[0]
+    if path.endswith(".xle"):
+        f = path
+    elif path.endswith(".zip"):
+        zf = zipfile.ZipFile(path)
+        f = zf.open("{}.xle".format(name))
+    else:
+        raise NotImplementedError(
+            "File type '{}' not supported!".format(os.path.splitext(path)[-1])
+        )
+
+    logger.info("reading -> {}".format(f))
+
+    # read channel 1 data header
+    df_ch1_data_header = pd.read_xml(path, xpath="/Body_xle/Ch1_data_header")
+    series_ch1_data_header = df_ch1_data_header.T.iloc[:, 0]
+    colname_ch1 = (
+        series_ch1_data_header.Identification.lower()
+        + "_"
+        + series_ch1_data_header.Unit.lower()
+    )
+
+    # read channel 2 data header
+    df_ch2_data_header = pd.read_xml(path, xpath="/Body_xle/Ch2_data_header")
+    series_ch2_data_header = df_ch2_data_header.T.iloc[:, 0]
+    colname_ch2 = (
+        series_ch2_data_header.Identification.lower()
+        + "_"
+        + series_ch2_data_header.Unit.lower()
+    )
+
+    # read observations
+    df = pd.read_xml(
+        path,
+        xpath="/Body_xle/Data/Log",
+    )
+    df.rename(columns={"ch1": colname_ch1, "ch2": colname_ch2}, inplace=True)
+    if "ms" in df.columns:
+        df["date_time"] = pd.to_datetime(
+            df["Date"] + " " + df["Time"]
+        ) + pd.to_timedelta(df["ms"], unit="ms")
+        drop_cols = ["id", "Date", "Time", "ms"]
+    else:
+        df["date_time"] = pd.to_datetime(df["Date"] + " " + df["Time"])
+        drop_cols = ["id", "Date", "Time"]
+    df.set_index("date_time", inplace=True)
+
+    df.drop(columns=drop_cols, inplace=True)
+
+    # parse meta into dict, per group in XLE file
+    meta = {}
+    # read file info
+    df_file_info = pd.read_xml(path, xpath="/Body_xle/File_info")
+    dict_file_info = df_file_info.T.iloc[:, 0].to_dict()
+
+    # read instrument info
+    df_instrument_info = pd.read_xml(path, xpath="/Body_xle/Instrument_info")
+    dict_instrument_info = df_instrument_info.T.iloc[:, 0].to_dict()
+
+    # read instrument info
+    df_instrument_info_data_header = pd.read_xml(
+        path, xpath="/Body_xle/Instrument_info_data_header"
+    )
+    dict_instrument_info_data_header = df_instrument_info_data_header.T.iloc[
+        :, 0
+    ].to_dict()
+
+    meta = {
+        **dict_file_info,
+        **dict_instrument_info,
+        **dict_instrument_info_data_header,
+    }
+
+    if transform_coords:
+        # lat and lon has 0,000 when location is not supplied
+        # replace comma with point first
+        if isinstance(meta["Latitude"], str):
+            meta["Latitude"] = float(meta["Latitude"].replace(",", "."))
+        if isinstance(meta["Longtitude"], str):
+            meta["Longtitude"] = float(meta["Longtitude"].replace(",", "."))
+        if (meta["Latitude"] != 0) & (meta["Longtitude"] != 0):
+            # NOTE: check EPSG:28992 definition and whether location is showing up in
+            # the right spot.
+            transformer = Transformer.from_crs("epsg:4326", "epsg:28992")
+            x, y = transformer.transform(meta["Latitude"], meta["Longtitude"])
+            x = np.round(x, 2)
+            y = np.round(y, 2)
+        else:
+            logger.warning("file has no location included")
+            x = None
+            y = None
+    else:
+        x = meta["Latitude"]
+        y = meta["Longtitude"]
+    meta["x"] = x
+    meta["y"] = y
+    meta["filename"] = f
+    meta["source"] = meta["Created_by"]
+    meta["name"] = name
+    meta["monitoring_well"] = name
+    meta["unit"] = series_ch1_data_header.Unit.lower()
+    meta["metadata_available"] = True
+
+    return df, meta
diff --git a/hydropandas/io/waterinfo.py b/hydropandas/io/waterinfo.py
index 5c2aeef6..7410d584 100644
--- a/hydropandas/io/waterinfo.py
+++ b/hydropandas/io/waterinfo.py
@@ -156,7 +156,9 @@ def read_waterinfo_obs(file_or_dir, ObsClass, progressbar=False, **kwargs):
         # get location and convert to m RD
         for stn in df[location_col].unique():
             mask = df[location_col] == stn
-            x, y = transformer.transform(df.loc[mask, "X"][-1], df.loc[mask, "Y"][-1])
+            x, y = transformer.transform(
+                df.loc[mask, "X"].iloc[-1], df.loc[mask, "Y"].iloc[-1]
+            )
             metadata = {
                 "name": stn,
                 "x": x,
diff --git a/hydropandas/obs_collection.py b/hydropandas/obs_collection.py
index 70a2a6da..fbcd3cf9 100644
--- a/hydropandas/obs_collection.py
+++ b/hydropandas/obs_collection.py
@@ -2031,6 +2031,50 @@ def from_pastastore(
         }
         return cls(obs_df, name=pstore.name, meta=meta)
 
+    def get_obs(self, name=None, **kwargs):
+        """get an observation object from a collection
+
+        Parameters
+        ----------
+        name : str or None, optional
+            name of the observation you want to select, by default None
+        **kwargs : any metadata, value pair e.g. for a collection of GroundwaterObs:
+            tube_nr = 1 or source = 'BRO'
+
+        Returns
+        -------
+        hpd.Obs
+            Observation object from the collection.
+
+        Raises
+        ------
+        ValueError
+            If multiple observations in the collection match the given attribute values.
+        ValueError
+            If no observation in the collection match the given attribute values.
+        """
+
+        # select by name
+        if name is None:
+            selected_obs = self
+        else:
+            selected_obs = self.loc[[name]]
+
+        # select by condition
+        for key, item in kwargs.items():
+            condition = selected_obs[key] == item
+            selected_obs = selected_obs.loc[condition]
+
+        # return an Obs objet
+        if len(selected_obs) == 1:
+            return selected_obs["obs"].values[0]
+        elif len(selected_obs) == 0:
+            raise ValueError("no observations for given conditions")
+        else:
+            raise ValueError(
+                f"multiple observations for given conditions {selected_obs.index}"
+            )
+
     def to_excel(self, path, meta_sheet_name="metadata"):
         """Write an ObsCollection to an excel, the first sheet in the excel contains the
         metadata, the other tabs are the timeseries of each observation.
@@ -2073,14 +2117,14 @@ def to_excel(self, path, meta_sheet_name="metadata"):
             oc["obs"] = [type(o).__name__ for o in obseries]
 
             # write ObsCollection dataframe to first sheet
-            super(ObsCollection, oc).to_excel(writer, meta_sheet_name)
+            super(ObsCollection, oc).to_excel(writer, sheet_name=meta_sheet_name)
 
             # write each observation time series to next sheets
             for o in obseries:
                 sheetname = o.name
                 for ch in ["[", "]", ":", "*", "?", "/", "\\"]:
                     sheetname = sheetname.replace(ch, "_")
-                o.to_excel(writer, sheetname)
+                o.to_excel(writer, sheet_name=sheetname)
 
     def to_pi_xml(self, fname, timezone="", version="1.24"):
         from .io import fews
diff --git a/hydropandas/observation.py b/hydropandas/observation.py
index deb57d20..e6efdf1c 100644
--- a/hydropandas/observation.py
+++ b/hydropandas/observation.py
@@ -837,6 +837,47 @@ def from_pastastore(cls, pstore, libname, name, metadata_mapping=None):
 
         return cls(data, meta=metadata, **kwargs)
 
+    @classmethod
+    def from_solinst(
+        cls,
+        path,
+        transform_coords=True,
+        screen_bottom=None,
+        screen_top=None,
+        ground_level=None,
+        tube_nr=None,
+        tube_top=None,
+    ):
+        """Read data from Solinst xle file.
+
+        Parameters
+        ----------
+        path : str
+            path to file (file can zip or xle)
+
+        """
+        from .io import solinst
+
+        df, meta = solinst.read_solinst_file(path, transform_coords=transform_coords)
+
+        return cls(
+            df,
+            meta=meta,
+            name=meta.pop("name"),
+            x=meta.pop("x"),
+            y=meta.pop("y"),
+            filename=meta.pop("filename"),
+            source=meta.pop("source"),
+            unit=meta.pop("unit"),
+            screen_bottom=screen_bottom,
+            screen_top=screen_top,
+            ground_level=ground_level,
+            metadata_available=meta.pop("metadata_available"),
+            monitoring_well=meta.pop("monitoring_well"),
+            tube_nr=tube_nr,
+            tube_top=tube_top,
+        )
+
 
 class WaterQualityObs(Obs):
     """Class for water quality ((grond)watersamenstelling) point observations.
diff --git a/hydropandas/util.py b/hydropandas/util.py
index 35e7da51..53a863cc 100644
--- a/hydropandas/util.py
+++ b/hydropandas/util.py
@@ -120,13 +120,13 @@ def get_files(
             raise ValueError("Please specify a different folder to unpack files!")
 
     # identify whether file_or_dir started as zip
-    if file_or_dir.endswith(".zip"):
+    if str(file_or_dir).endswith(".zip"):
         iszip = True
     else:
         iszip = False
 
     # unzip dir
-    if file_or_dir.endswith(".zip"):
+    if iszip:
         zipf = file_or_dir
         if unpackdir is None:
             file_or_dir = tempfile.TemporaryDirectory().name
@@ -288,12 +288,13 @@ def oc_to_df(oc, col: Optional[str] = None) -> pd.DataFrame:
         _description_
     """
     df_list = []
-    for obs in oc.obs.values:
-        if not obs.empty:
+    for o in oc.obs.values:
+        if not o.empty:
             if col is None:
-                vals = obs.loc[:, obs._get_first_numeric_col_name()]
+                vals = o.loc[:, o._get_first_numeric_col_name()]
             else:
-                vals = obs.loc[:, col]
+                vals = o.loc[:, col]
+            vals.name = o.name
             df_list.append(vals)
     return pd.concat(df_list, axis=1)
 
diff --git a/hydropandas/version.py b/hydropandas/version.py
index 61fb31ca..ae6db5f1 100644
--- a/hydropandas/version.py
+++ b/hydropandas/version.py
@@ -1 +1 @@
-__version__ = "0.10.0"
+__version__ = "0.11.0"
diff --git a/pyproject.toml b/pyproject.toml
index 26b7f91d..cbd5ebb3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ maintainers = [
 requires-python = ">=3.7"
 dependencies = [
     "scipy",
-    "pandas<2.1.0",
+    "pandas",
     "matplotlib",
     "tqdm",
     "requests",
diff --git a/tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle b/tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle
new file mode 100644
index 00000000..4124b10e
--- /dev/null
+++ b/tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle
@@ -0,0 +1,4164 @@
+<?xml version="1.0" ?>
+<Body_xle>
+<File_info>
+<Company></Company>
+<LICENCE></LICENCE>
+<Date>2023/12/22</Date>
+<Time>10:18:47</Time>
+<FileName></FileName>
+<Created_by>iOS App Version 3.5.1</Created_by>
+<Downloaded_by>iOS App Version 3.5.1</Downloaded_by>
+<Program_by>iOS App Version 3.5.1</Program_by>
+<Interface>Desktop Reader</Interface>
+</File_info>
+<Instrument_info>
+<Instrument_type>L5_LT</Instrument_type>
+<Model_number>M5</Model_number>
+<Instrument_state>Stopped</Instrument_state>
+<Serial_number>2170536</Serial_number>
+<Battery_voltage>3.50600</Battery_voltage>
+<Battery_charge>1378.03</Battery_charge>
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+<ch1>10.2392</ch1>
+<ch2>15.577</ch2>
+</Log>
+<Log id="585">
+<Date>2023/12/22</Date>
+<Time>10:17:50</Time>
+<ms>0</ms>
+<ch1>10.2389</ch1>
+<ch2>15.578</ch2>
+</Log>
+<Log id="586">
+<Date>2023/12/22</Date>
+<Time>10:17:50</Time>
+<ms>125</ms>
+<ch1>10.2387</ch1>
+<ch2>15.576</ch2>
+</Log>
+<Log id="587">
+<Date>2023/12/22</Date>
+<Time>10:17:50</Time>
+<ms>250</ms>
+<ch1>10.2390</ch1>
+<ch2>15.578</ch2>
+</Log>
+</Data>
+</Body_xle>
diff --git a/tests/data/2024-solinst-test/example-10min-interval-via-laptop.zip b/tests/data/2024-solinst-test/example-10min-interval-via-laptop.zip
new file mode 100644
index 00000000..0788fb49
Binary files /dev/null and b/tests/data/2024-solinst-test/example-10min-interval-via-laptop.zip differ
diff --git a/tests/test_002_obs_objects.py b/tests/test_002_obs_objects.py
index ca972f66..5b48ace3 100644
--- a/tests/test_002_obs_objects.py
+++ b/tests/test_002_obs_objects.py
@@ -1,19 +1,11 @@
 import numpy as np
 import pandas as pd
+import pytest
 
 import hydropandas as hpd
 
-# import sys
-# sys.path.insert(1, "..")
 
-
-# TEST_DIR = os.path.dirname(os.path.abspath(__file__))
-# PROJECT_DIR = os.path.abspath(os.path.join(TEST_DIR, os.pardir))
-# sys.path.insert(0, PROJECT_DIR)
-# os.chdir(TEST_DIR)
-
-
-def test_groundwater_obs(name="groundwaterobs_001", tube_nr=2):
+def _get_groundwater_obs(name="groundwaterobs_001", tube_nr=2):
     df = pd.DataFrame(
         index=pd.date_range("2020-1-1", "2020-1-10"),
         data={"values": np.random.rand(10)},
@@ -41,7 +33,7 @@ def test_groundwater_obs(name="groundwaterobs_001", tube_nr=2):
     return o
 
 
-def test_waterlvl_obs():
+def _get_waterlvl_obs():
     df = pd.DataFrame(
         index=pd.date_range("2020-1-1", "2020-1-10"),
         data={"values": np.random.rand(10)},
@@ -60,6 +52,16 @@ def test_waterlvl_obs():
     return o
 
 
+def _obscollection_from_list():
+    o_list = []
+    for i in range(10):
+        o_list.append(_get_groundwater_obs(name=f"groundwaterobs_00{i}", tube_nr=i))
+
+    oc = hpd.ObsCollection.from_list(o_list)
+
+    return oc
+
+
 def test_groundwater_quality_obs():
     df = pd.DataFrame(
         index=pd.date_range("2020-1-1", "2020-1-10"), data={"pH": np.random.rand(10)}
@@ -75,25 +77,15 @@ def test_groundwater_quality_obs():
     )
 
 
-def test_obscollection_from_list():
-    o_list = []
-    for i in range(10):
-        o_list.append(test_groundwater_obs(name=f"groundwaterobs_00{i}", tube_nr=i))
-
-    oc = hpd.ObsCollection.from_list(o_list)
-
-    return oc
-
-
 def test_add_meta_to_df():
-    oc = test_obscollection_from_list()
+    oc = _obscollection_from_list()
     oc.add_meta_to_df(key="all")
 
     assert "info" in oc.columns, "unexpected result for add_meta_to_df"
 
 
 def test_copy_obs():
-    o = test_groundwater_obs(name="groundwaterobs_001", tube_nr=2)
+    o = _get_groundwater_obs(name="groundwaterobs_001", tube_nr=2)
     o2 = o.copy()
 
     o.meta["hello"] = "world"
@@ -133,10 +125,10 @@ def test_convert_waterlvl_groundwater_obs():
 
 def test_merge_observations_same_timeseries():
     # base
-    o = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
 
     # observation with different metadata, same time series
-    o2 = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o2 = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
     o2.iloc[:, 0] = o.iloc[:, 0]
 
     omerged = o.merge_observation(o2, merge_metadata=False)
@@ -146,7 +138,7 @@ def test_merge_observations_same_timeseries():
 
 def test_merge_observations_different_timeseries():
     # base
-    o = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
 
     # observation with different time series
     o2 = o.copy()
@@ -163,7 +155,7 @@ def test_merge_observations_different_timeseries():
 
 def test_merge_overlapping():
     # base
-    o = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
 
     # observation with partially overlapping time series and extra columns
     o2 = o.copy()
@@ -182,29 +174,47 @@ def test_merge_overlapping():
 
 def test_merge_errors():
     # base
-    o = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
 
     # observation with partially overlapping time series and extra columns
-    o2 = test_waterlvl_obs()
+    o2 = _get_waterlvl_obs()
 
-    try:
+    with pytest.raises(TypeError):
         o.merge_observation(o2)
-    except TypeError:
-        return
-
-    raise RuntimeError("function should raise an error")
 
 
 def test_add_observation_to_oc():
-    oc = test_obscollection_from_list()
+    oc = _obscollection_from_list()
 
-    o = test_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
+    o = _get_groundwater_obs(name="groundwaterobs_010", tube_nr=10)
 
     oc.add_observation(o)
 
 
 def test_interpolate_obscollection():
-    oc = test_obscollection_from_list()
+    oc = _obscollection_from_list()
 
     xy = [[500, 11000], [9000, 18000]]
     oc.interpolate(xy)
+
+
+def test_get_obs():
+    oc = _obscollection_from_list()
+
+    # by name
+    o = oc.get_obs(name="groundwaterobs_001")
+    assert isinstance(o, hpd.GroundwaterObs)
+    assert o.name == "groundwaterobs_001"
+
+    # by attributes
+    o = oc.get_obs(monitoring_well="groundwaterobs", tube_nr=2)
+    assert isinstance(o, hpd.GroundwaterObs)
+    assert o.tube_nr == 2
+
+    # multiple observations
+    with pytest.raises(ValueError):
+        oc.get_obs(monitoring_well="groundwaterobs")
+
+    # no observations
+    with pytest.raises(ValueError):
+        oc.get_obs(monitoring_well="I do not exist")
diff --git a/tests/test_013_lizard.py b/tests/test_013_lizard.py
index 299666b8..d7d65e2e 100644
--- a/tests/test_013_lizard.py
+++ b/tests/test_013_lizard.py
@@ -14,5 +14,24 @@ def test_extent():
 
 
 def test_codes():
-    oc = hpd.read_lizard(codes="27BP0003")
+    oc = hpd.read_lizard(
+        codes=["39F-0735", "39F-0736", "39F-0737"], type_timeseries="merge"
+    )
     assert not oc.empty
+
+
+def test_many_tubed_well():
+
+    oc = hpd.read_lizard(codes="EEWP004", tube_nr="all")
+    assert not oc.empty
+
+
+def test_complex_well():
+
+    oc = hpd.read_lizard(codes="BUWP014", tube_nr="all")
+    assert not oc.empty
+
+
+def test_combine():
+
+    hpd.GroundwaterObs.from_lizard("39F-0736", tube_nr=1, type_timeseries="combine")
diff --git a/tests/test_014_solinst.py b/tests/test_014_solinst.py
new file mode 100644
index 00000000..43ea2526
--- /dev/null
+++ b/tests/test_014_solinst.py
@@ -0,0 +1,57 @@
+# %%
+import logging
+
+from hydropandas import observation
+from hydropandas.io import solinst
+
+logging.basicConfig(level=logging.DEBUG)
+
+
+# %% test observations
+
+
+def test_read_solinst_file_obs():
+    # observation of slugtest, 8 observations per second
+    df, _ = solinst.read_solinst_file(
+        "./tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle",
+    )
+
+    assert len(df) == 587, "Dataframe should have 587 readings"
+
+
+def test_read_solinst_file_meta_has_location():
+    # observation of slugtest, created via iOs app, location included by app
+    _, meta = solinst.read_solinst_file(
+        "./tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle",
+    )
+
+    assert meta["x"] == 52730.58, "x coordinate should be 52730.58"
+
+
+def test_read_solinst_file_meta_without_location():
+    # example observation created via desktop, location not included
+    _, meta = solinst.read_solinst_file(
+        "./tests/data/2024-solinst-test/example-10min-interval-via-laptop.zip",
+    )
+
+    assert meta["x"] is None, "x coordinate not available"
+
+
+def test_read_solinst_file_with_manual_meta():
+    # manual metadata about levels provided
+    screen_bottom = -10
+    screen_top = -5
+    ground_level = -1
+    tube_nr = 1
+    tube_top = -0.5
+
+    oc = observation.GroundwaterObs.from_solinst(
+        "./tests/data/2024-solinst-test/WsNoo_dp366_BUB_20231222_slug1m.xle",
+        screen_bottom=screen_bottom,
+        screen_top=screen_top,
+        ground_level=ground_level,
+        tube_nr=tube_nr,
+        tube_top=tube_top,
+    )
+
+    assert oc.tube_top == tube_top, "tube_top should be in oc"