cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mxk3v2
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.66555 19.09522,-103.10293 19.09522,-103.10293 21.56419,-106.66555 21.56419,-106.66555 19.09522))",
 "HasGeospatialIssue is false",
 "TaxonKey is Sceloporus melanorhinus Bocourt, 1876"
 ]
}

 The dataset includes 322 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014771-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64tkv8
title: Occurrence Download

description: A dataset containing 12350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schizachyrium scoparium (Michx.) Nash",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12350 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044057-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdf8ep
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaenorhynchus caramaschii Toledo, Garcia, Lingnau & Haddad, 2007"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr5tsc
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum peyrotii Bosser"
 ]
}

 The dataset includes 37 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104290-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.maprqw
title: Occurrence Download

description: A dataset containing 1049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cicindela sylvicola Dejean, 1822)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1049 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236717-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwspuv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum phaeorhabdos Schltr."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104301-230224095556074/datasets/export for details.
DOI: 10.15468/dl.6m4mw8
title: Occurrence Download

description: A dataset containing 10451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bembidion varium (Olivier, 1795), Bembidion avaricum Belousov & Sokolov, 1988, Bembidion orion Cooper & Maddison, 2014, Bena bicolorana (Füssly, 1775), Berberis julianae C.K.Schneid.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 10451 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312630-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsv8vd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.557 -1.67382, 111.486707 -1.679386, 111.418144 -1.695946, 111.352997 -1.723092, 111.29287 -1.760158, 111.239242 -1.80623, 111.193435 -1.860174, 111.156575 -1.920664, 111.129571 -1.986211, 111.113089 -2.0552, 111.107535 -2.125934, 111.113048 -2.196671, 111.129494 -2.26567, 111.156469 -2.331231, 111.19331 -2.391739, 111.239112 -2.445703, 111.292745 -2.491795, 111.352891 -2.528878, 111.418067 -2.556039, 111.486667 -2.572608, 111.557 -2.578177, 111.627333 -2.572608, 111.695933 -2.556039, 111.761109 -2.528878, 111.821255 -2.491795, 111.874888 -2.445703, 111.92069 -2.391739, 111.957531 -2.331231, 111.984506 -2.26567, 112.000952 -2.196671, 112.006465 -2.125934, 112.000911 -2.0552, 111.984429 -1.986211, 111.957425 -1.920664, 111.920565 -1.860174, 111.874758 -1.80623, 111.82113 -1.760158, 111.761003 -1.723092, 111.695856 -1.695946, 111.627293 -1.679386, 111.557 -1.67382))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046921-251120083545085/datasets/export for details.
DOI: 10.57707/fmi-b2share.7q06r-a6s73
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's outdoor solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu et al. (2025) (to be submitted to Geoscience Data Journal). 

PV power, ancillary and meteorological data for each PV system are organised in their respective, semicolon separated, csv-files with unique headers explaining the variables: 

- FMI_Helsinki_PV.csv, header length: 67 rows 		 
- FMI_Kuopio_PV.csv, header length:  
- FMI_Sodankyla_20deg_PV.csv, header length: 96 rows 
- FMI_Sodankyla_90deg_PV.csv, header length: 96 rows 

Hourly photographs of the Sodankylä modules are in a tarball: 

- Sodankyla_module_images_2018-2021.tar.gz 

Metadata, additional photographs of the PV sites and their surroundings as well as data sheets and technical information of the modules and inverters can be found in a separate tarball: 

- siteinfo_and_metadata.tar.gz
DOI: 10.57707/fmi-b2share.fyyw1-16e65
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's outdoor solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu et al. (2025) (submitted to Geoscience Data Journal) 

PV power, ancillary and meteorological data for each PV system are organised in their respective, semicolon separated, csv-files with unique headers explaining the variables: 

- FMI_Helsinki_PV.csv
- FMI_Kuopio_PV.csv
- FMI_Sodankyla_20deg_PV.csv
- FMI_Sodankyla_90deg_PV.csv

Below is an example how to read the datafiles to a pandas dataframe with python. Please note, that the header lengths vary:
- Helsinki and Kuopio: 63
- Sodankylä: 93

###
import pandas as pd
dtype_dict = {'Remarks': str}
df = pd.read_csv('FMI_Sodankyla_20deg_PV.csv', sep=';', parse_dates=['utctime'], index_col=['utctime'], dtype=dtype_dict, header=93)
###

Hourly photographs of the Sodankylä modules are in a tarball: 

- Sodankyla_module_images_2018-2021.tar.gz 

Metadata, additional photographs of the PV sites and their surroundings as well as data sheets and technical information of the modules and inverters can be found in a separate tarball: 

- siteinfo_and_metadata.tar.gz
DOI: 10.5281/zenodo.17897819
title: dataset_calibrated_Temporal_SDB

description: Temporal evolution of bathymetries derived from Sentinel-2 multispectral images for 12 sites in the Western Mediterranean. The bathymetries were obtained between 2018 and 2024, considering two temporal windows mosaic of 6 and 12 months with a monthly offset. The SDBs are associated with an optimal Chl-a value for each area, minimizing the RMSE with respect to in situ bathymetries. Additionally, the wave time series considered in the study are included.
DOI: 10.57707/fmi-b2share.eq3rk-6t180
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's outdoor solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu et al. (2025) (submitted to Geoscience Data Journal) 

PV power, ancillary and meteorological data for each PV system are organised in their respective, semicolon separated, csv-files with unique headers explaining the variables: 

- FMI_Helsinki_PV.csv
- FMI_Kuopio_PV.csv
- FMI_Sodankyla_20deg_PV.csv
- FMI_Sodankyla_90deg_PV.csv

Below is an example how to read the datafiles to a pandas dataframe with python. Please note, that the lengths of the metadata header vary:
- Helsinki and Kuopio: 67
- Sodankylä: 93

###
import pandas as pd
dtype_dict = {'Remarks': str}
df = pd.read_csv('FMI_Sodankyla_20deg_PV.csv', sep=';', parse_dates=['utctime'], index_col=['utctime'], dtype=dtype_dict, header=93)
###

Daily plots of PV, meteorological and ancillary data are in system-specific tarballs:

- Helsinki_daily_plots.tar.gz
- Kuopio_daily_plots.tar.gz (pending)
- Sodankyla_20deg_daily_plots.tar.gz (pending)
- Sodankyla_90deg_daily_plots.tar.gz (pending)

Hourly photographs of the Sodankylä modules are in a tarball: 

- Sodankyla_module_images_2018-2021.tar.gz 

Metadata, additional photographs of the PV sites and their surroundings as well as data sheets and technical information of the modules and inverters can be found in a separate tarball: 

- siteinfo_and_metadata.tar.gz
DOI: 10.57707/fmi-b2share.238fk-zyw57
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's outdoor solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu, J. A., A. V. Lindfors, W. Wandji Nyamsi, et al. 2026. " Photovoltaic Power and Meteorological Datasets With Snow Detection From the Outdoor Solar Power Laboratories of the Finnish Meteorological Institute." Geoscience Data Journal 13, no. 1: e70039. https://doi.org/10.1002/gdj3.70039.

PV power, ancillary and meteorological data for each PV system are organised in their respective, semicolon separated, csv-files with unique headers explaining the variables: 

- FMI_Helsinki_PV.csv
- FMI_Kuopio_PV.csv
- FMI_Sodankyla_20deg_PV.csv
- FMI_Sodankyla_90deg_PV.csv

Below is an example how to read the datafiles to a pandas dataframe with python. Please note, that the lengths of the metadata header vary:
- Helsinki and Kuopio: 67
- Sodankylä: 93

###
import pandas as pd
dtype_dict = {'Remarks': str}
df = pd.read_csv('FMI_Sodankyla_20deg_PV.csv', sep=';', parse_dates=['utctime'], index_col=['utctime'], dtype=dtype_dict, header=93)
###

Daily plots of PV, meteorological and ancillary data are in system-specific tarballs:

- Helsinki_daily_plots.tar.gz
- Kuopio_daily_plots.tar.gz
- Sodankyla_20deg_daily_plots.tar.gz
- Sodankyla_90deg_daily_plots.tar.gz

Hourly photographs of the Sodankylä modules are in a tarball: 

- Sodankyla_module_images_2018-2021.tar.gz 

Metadata, additional photographs of the PV sites and their surroundings as well as data sheets and technical information of the modules and inverters can be found in a separate tarball: 

- siteinfo_and_metadata.tar.gz
DOI: 10.57707/fmi-b2share.tn0wb-as670
title: PV production data with ancillary PV and meteorological data including solar radiation measurements from FMI's outdoor solar laboratories in Helsinki, Kuopio and Sodankylä (Finland) starting from August 2015 and ending Dec 2021

description: The data is described in Karhu, J. A., A. V. Lindfors, W. Wandji Nyamsi, et al. 2026. " Photovoltaic Power and Meteorological Datasets With Snow Detection From the Outdoor Solar Power Laboratories of the Finnish Meteorological Institute." Geoscience Data Journal 13, no. 1: e70039. https://doi.org/10.1002/gdj3.70039.

PV power, ancillary and meteorological data for each PV system are organised in their respective, semicolon separated, csv-files with unique headers explaining the variables: 

- FMI_Helsinki_PV.csv
- FMI_Kuopio_PV.csv
- FMI_Sodankyla_20deg_PV.csv
- FMI_Sodankyla_90deg_PV.csv

Below is an example how to read the datafiles to a pandas dataframe with python. Please note, that the lengths of the metadata header vary:
- Helsinki and Kuopio: 67
- Sodankylä: 93

###
import pandas as pd
dtype_dict = {'Remarks': str}
df = pd.read_csv('FMI_Sodankyla_20deg_PV.csv', sep=';', parse_dates=['utctime'], index_col=['utctime'], dtype=dtype_dict, header=93)
###

Daily plots of PV, meteorological and ancillary data are in system-specific tarballs:

- Helsinki_daily_plots.tar.gz
- Kuopio_daily_plots.tar.gz
- Sodankyla_20deg_daily_plots.tar.gz
- Sodankyla_90deg_daily_plots.tar.gz

Hourly photographs of the Sodankylä modules are in a tarball: 

- Sodankyla_module_images_2018-2021.tar.gz 

Metadata, additional photographs of the PV sites and their surroundings as well as data sheets and technical information of the modules and inverters can be found in a separate tarball: 

- siteinfo_and_metadata.tar.gz
DOI: 10.15468/dl.ybv5p7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.98 -1.67182, 110.909707 -1.677386, 110.841144 -1.693946, 110.775997 -1.721092, 110.71587 -1.758158, 110.662243 -1.80423, 110.616435 -1.858174, 110.579575 -1.918664, 110.552572 -1.984211, 110.536089 -2.0532, 110.530536 -2.123934, 110.536049 -2.194671, 110.552495 -2.26367, 110.57947 -2.329231, 110.616311 -2.389739, 110.662112 -2.443703, 110.715746 -2.489795, 110.775891 -2.526878, 110.841067 -2.554039, 110.909667 -2.570608, 110.98 -2.576177, 111.050333 -2.570608, 111.118933 -2.554039, 111.184109 -2.526878, 111.244254 -2.489795, 111.297888 -2.443703, 111.343689 -2.389739, 111.38053 -2.329231, 111.407505 -2.26367, 111.423951 -2.194671, 111.429464 -2.123934, 111.423911 -2.0532, 111.407428 -1.984211, 111.380425 -1.918664, 111.343565 -1.858174, 111.297757 -1.80423, 111.24413 -1.758158, 111.184003 -1.721092, 111.118856 -1.693946, 111.050293 -1.677386, 110.98 -1.67182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046923-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17898311
title: RP_restricted_iet

description: This repository contains the raw data, code and post-processed data used for analyses reported in the manuscript "Quantitatively restricted international emissions trading agreements under general equilibrium effects".
DOI: 10.57967/hf/7223
title: LAMES
DOI: 10.5281/zenodo.17898331
title: Dataset of Impacts of gender disparities in mental health and quality of life: a cross-sectional study of Brazilian physicians
DOI: 10.5281/zenodo.17898332
title: Dataset of Impacts of gender disparities in mental health and quality of life: a cross-sectional study of Brazilian physicians
DOI: 10.15468/dl.789k8q
title: Occurrence Download

description: A dataset containing 382854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-17.19095 13.74338, -17.22949 13.70315, -17.30495 13.54332, -17.32582 13.3678, -17.32547 13.35963, -17.2929 13.19543, -17.21245 13.04863, -17.09156 12.93283, -17.0875 12.93083, -17.08107 12.92466, -16.93094 12.85059, -16.89839 12.84558, -16.85888 12.82608, -16.69339 12.80059, -16.68324 12.80059, -16.50883 12.82898, -16.50444 12.83129, -16.41821 12.84532, -16.26181 12.92754, -16.13955 13.05511, -16.06405 13.21486, -16.0431 13.39031, -16.04345 13.39848, -16.07595 13.56276, -16.15638 13.70964, -16.16294 13.71592, -16.22229 13.82422, -16.34318 13.94001, -16.49331 14.01407, -16.65875 14.03955, -16.67906 14.03955, -16.85352 14.01115, -16.86709 14.00401, -16.87347 14.00297, -17.02992 13.92069, -17.03575 13.9146, -17.03972 13.91252, -17.04554 13.90643, -17.04951 13.90434, -17.17178 13.77669, -17.17781 13.7639, -17.18122 13.76035, -17.18725 13.74756, -17.19066 13.74401, -17.19095 13.74338), (-16.67906 13.48955, -16.65875 13.48955, -16.6584 13.48137, -16.66855 13.48137, -16.66785 13.46503, -16.6577 13.46503, -16.65524 13.40781, -16.64509 13.40781, -16.64474 13.39963, -16.6346 13.39963, -16.63425 13.39146, -16.6241 13.39146, -16.62375 13.38329, -16.6136 13.38329, -16.61325 13.37511, -16.59295 13.37511, -16.59261 13.36694, -16.60276 13.36694, -16.6332 13.36694, -16.63355 13.37511, -16.65385 13.37511, -16.6535 13.36694, -16.66365 13.36694, -16.67379 13.36694, -16.67344 13.35877, -16.68359 13.35877, -16.68324 13.35059, -16.69339 13.35059, -16.69374 13.35877, -16.70389 13.35877, -16.70459 13.37511, -16.71474 13.37511, -16.71509 13.38329, -16.74553 13.38329, -16.74518 13.37511, -16.76548 13.37511, -16.76583 13.38329, -16.77598 13.38329, -16.77633 13.39146, -16.76618 13.39146, -16.76654 13.39963, -16.75639 13.39963, -16.75674 13.40781, -16.74659 13.40781, -16.74694 13.41598, -16.73679 13.41598, -16.7375 13.43233, -16.72735 13.43233, -16.72805 13.44868, -16.7179 13.44868, -16.7186 13.46503, -16.70845 13.46503, -16.70881 13.4732, -16.69866 13.4732, -16.69901 13.48137, -16.68886 13.48137, -16.67871 13.48137, -16.67906 13.48955))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 382854 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7rftt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046926-251120083545085/datasets/export for details.
DOI: 10.48597/3n5n-7t3c
title: Sodium at Lahemaa

description: Measurement of Sodium at Lahemaa
DOI: 10.48597/7n2z-nt72
title: Nitrate at Lahemaa

description: Measurement of Nitrate at Lahemaa
DOI: 10.48597/cpw2-t7q4
title: Sulphur_dioxide at Lahemaa

description: Measurement of Sulphur_dioxide at Lahemaa
DOI: 10.48597/e6w3-vaq3
title: Ammonium at Lahemaa

description: Measurement of Ammonium at Lahemaa
DOI: 10.48597/f6gr-f3eb
title: Sulphate_total at Lahemaa

description: Measurement of Sulphate_total at Lahemaa
DOI: 10.48597/f9cy-369w
title: pH at Lahemaa

description: Measurement of pH at Lahemaa
DOI: 10.48597/ftua-tafb
title: Nitrogen_dioxide at Lahemaa

description: Measurement of Nitrogen_dioxide at Lahemaa
DOI: 10.48597/hy58-wxm6
title: Chloride at Lahemaa

description: Measurement of Chloride at Lahemaa
DOI: 10.48597/jzcm-hd78
title: Precipitation_amount at Lahemaa

description: Measurement of Precipitation_amount at Lahemaa
DOI: 10.48597/ufsv-jrhg
title: Conductivity at Lahemaa

description: Measurement of Conductivity at Lahemaa
DOI: 10.48597/ux96-842j
title: Magnesium at Lahemaa

description: Measurement of Magnesium at Lahemaa
DOI: 10.48597/v4yq-9ksn
title: Potassium at Lahemaa

description: Measurement of Potassium at Lahemaa
DOI: 10.48597/wp8n-88yk
title: Calcium at Lahemaa

description: Measurement of Calcium at Lahemaa
DOI: 10.48597/69nf-3dg9
title: Chloride at Lahemaa

description: Measurement of Chloride at Lahemaa
DOI: 10.48597/tqga-my7m
title: Sulphate_corrected at Lahemaa

description: Measurement of Sulphate_corrected at Lahemaa
DOI: 10.48597/bpww-khb2
title: Magnesium at Lahemaa

description: Measurement of Magnesium at Lahemaa
DOI: 10.48597/mvqz-vy2c
title: Pm25_mass at Lahemaa

description: Measurement of Pm25_mass at Lahemaa