cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48477/coccon.pf10.harvardforest.r02
title: COCCON Version 2 dataset from atmospheric observatory of Harvard Forest (Massachusetts, USA) available at the EVDC Data Handling Facilities covering start date Mai 14th 2018 to end date Dec 26th 2022

description: COCCON uses the EM27/SUN spectrometer commercially available from Bruker Company. The spectrometer performs solar absorption measurements in the NIR for the measurement of column-averaged abundances of atmospheric greenhouse gases (CO2, CH4, CO, and H2O). COCCON requires the use of calibrated spectrometers and of common data analyses tools (see homepage_coccon).
DOI: 10.17026/ar/16c1kl
title: PAN-00179105 - smelt waste or lump of lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00179105&lt;/p&gt;
description: Modified: 2025-10-09T11:11:56+02:00
DOI: 10.15468/dl.em57kj
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artemisia ifranensis"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037986-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30822818
title: Database Quality percieved by participant in trail running

description: Database Quality percieved by participant in trail running
DOI: 10.6084/m9.figshare.30822818.v1
title: Database Quality percieved by participant in trail running

description: Database Quality percieved by participant in trail running
DOI: 10.5281/zenodo.17857266
title: Android third-party SDKs (Google Play SDK Index + CAICT SDK Index)

description: All third-party SDKs binary files retrieved in November 2023
DOI: 10.15468/dl.6mnat5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thylogale lanatus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037987-251120083545085/datasets/export for details.
DOI: 10.15468/dl.ggfkuw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.358 -0.047815, 110.287737 -0.053382, 110.219204 -0.06994599999999999, 110.154088 -0.097098, 110.093993 -0.134171, 110.040398 -0.180251, 109.994622 -0.234204, 109.957793 -0.294702, 109.930818 -0.360255, 109.91436 -0.429248, 109.908825 -0.499985, 109.91435 -0.570721, 109.9308 -0.639717, 109.957768 -0.705273, 109.994593 -0.765775, 110.040367 -0.819733, 110.093964 -0.865818, 110.154063 -0.902895, 110.219186 -0.930051, 110.287727 -0.946616, 110.358 -0.952184, 110.428273 -0.946616, 110.496814 -0.930051, 110.561937 -0.902895, 110.622036 -0.865818, 110.675633 -0.819733, 110.721407 -0.765775, 110.758232 -0.705273, 110.7852 -0.639717, 110.80165 -0.570721, 110.807175 -0.499985, 110.80164 -0.429248, 110.785182 -0.360255, 110.758207 -0.294702, 110.721378 -0.234204, 110.675602 -0.180251, 110.622007 -0.134171, 110.561912 -0.097098, 110.496796 -0.06994599999999999, 110.428263 -0.053382, 110.358 -0.047815))"},{"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/0037988-251120083545085/datasets/export for details.
DOI: 10.15468/dl.5ruf2y
title: Occurrence Download

description: A dataset containing 51667 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euterpe"
 ]
}

 The dataset includes 51667 records from 443 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037934-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/4ueykf
title: PAN-00175450 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175450&lt;/p&gt;
description: Modified: 2025-10-29T11:22:38+01:00
DOI: 10.15468/dl.59awtr
title: Occurrence Download

description: A dataset containing 4480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.40281 3.44961,-67.43168 3.44961,-67.43168 12.64200,-90.40281 12.64200,-90.40281 3.44961))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothrops asper"
 ]
}

 The dataset includes 4480 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037989-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17753054
title: Raw data for: Individual and Combined Effects of Smoke-Water, Seaweed Extract, and Vermicompost Leachate on Maize Seedlings

description: Supplementary dataset with measured data for publication titled "Individual and Combined Effects of Smoke-Water, Seaweed Extract, and Vermicompost Leachate on Maize Seedlings"
DOI: 10.5281/zenodo.16051961
title: Raw data for: Individual and Combined Effects of Smoke-Water, Seaweed Extract, and Vermicompost Leachate on Maize Seedlings

description: Supplementary dataset with measured data for publication titled "Individual and Combined Effects of Smoke-Water, Seaweed Extract, and Vermicompost Leachate on Maize Seedlings"
DOI: 10.5281/zenodo.17857637
title: Urban plans in 23 large urban areas of the EU, 2010-2025

description: The dataset lists urban plans at local, metropolitan scale for 23 large urban areas of the EU. The list includes plans that were in power at any point between 2010 and 2015.

The analyzed urban plans are: Paris, Madrid, Barcelona, Ruhr Area, Berlin, Athens, Warsaw, Hamburg, Brussels, Vienna, Lisbon, Budapest, Munich, Amsterdam, Frankfurt, Stuttgart, Katowice, Stockholm, Lyon, Prague, Dublin, Cologne and Copenhagen.

Data includes plan scale, power, approval year, target year, and proposed housing units per year.
DOI: 10.5281/zenodo.17857638
title: Urban plans in 23 large urban areas of the EU, 2010-2025

description: The dataset lists urban plans at local, metropolitan scale for 23 large urban areas of the EU. The list includes plans that were in power at any point between 2010 and 2015.

The analyzed urban plans are: Paris, Madrid, Barcelona, Ruhr Area, Berlin, Athens, Warsaw, Hamburg, Brussels, Vienna, Lisbon, Budapest, Munich, Amsterdam, Frankfurt, Stuttgart, Katowice, Stockholm, Lyon, Prague, Dublin, Cologne and Copenhagen.

Data includes plan scale, power, approval year, target year, and proposed housing units per year.
DOI: 10.5281/zenodo.17857649
title: بازنویسی مفهوم انرژی پتانسیل

description: این بازنویسی، ضمن حفظ قدرت پیشبینی کنندگی مدلهای کلاسیک )از طریق بازتعریفثابتهای ماده بر اساس پارامترهای حجمی(، یک توجیه فیزیکی عینی و قابل مشاهده )بهصورت نظری( برای پدیدههای االستیسیته و تنش ارائه میدهد که پیش از این در سایه ابهامانرژی پتانسیل پنهان بود. مدل CRVD یک گام به سوی درک ساختار واقعی ماده در مقابلتوصیفات انتزاعی آن است
DOI: 10.5281/zenodo.17857648
title: بازنویسی مفهوم انرژی پتانسیل

description: این بازنویسی، ضمن حفظ قدرت پیشبینی کنندگی مدلهای کلاسیک )از طریق بازتعریفثابتهای ماده بر اساس پارامترهای حجمی(، یک توجیه فیزیکی عینی و قابل مشاهده )بهصورت نظری( برای پدیدههای االستیسیته و تنش ارائه میدهد که پیش از این در سایه ابهامانرژی پتانسیل پنهان بود. مدل CRVD یک گام به سوی درک ساختار واقعی ماده در مقابلتوصیفات انتزاعی آن است
DOI: 10.15468/dl.846vq6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tokudaia muenninki",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8txdyf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.367 -0.041815, 102.296737 -0.047382, 102.228204 -0.063946, 102.163088 -0.091098, 102.102993 -0.128171, 102.049398 -0.174251, 102.003622 -0.228204, 101.966793 -0.288702, 101.939818 -0.354255, 101.92336 -0.423249, 101.917826 -0.493985, 101.923351 -0.5647219999999999, 101.9398 -0.633718, 101.966769 -0.699274, 102.003593 -0.759775, 102.049367 -0.813733, 102.102964 -0.859818, 102.163064 -0.896895, 102.228186 -0.924051, 102.296728 -0.940616, 102.367 -0.946184, 102.437272 -0.940616, 102.505814 -0.924051, 102.570936 -0.896895, 102.631036 -0.859818, 102.684633 -0.813733, 102.730407 -0.759775, 102.767231 -0.699274, 102.7942 -0.633718, 102.810649 -0.5647219999999999, 102.816174 -0.493985, 102.81064 -0.423249, 102.794182 -0.354255, 102.767207 -0.288702, 102.730378 -0.228204, 102.684602 -0.174251, 102.631007 -0.128171, 102.570912 -0.091098, 102.505796 -0.063946, 102.437263 -0.047382, 102.367 -0.041815))"},{"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/0037991-251120083545085/datasets/export for details.
DOI: 10.15468/dl.yg8fqt
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "OccurrenceStatus is Present",
 "TaxonKey is Conepatus leuconotus"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037992-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/mhpg-mn17
title: "Training data for the FPUNet neural network"

description: "Training data for the FPUNet neural network"
DOI: 10.6084/m9.figshare.30822824
title: Database Event impact one stage La Vuelta 2018

description: Database Event impact one stage La Vuelta 2018
DOI: 10.6084/m9.figshare.30822824.v1
title: Database Event impact one stage La Vuelta 2018

description: Database Event impact one stage La Vuelta 2018
DOI: 10.17026/ar/eydnbl
title: PAN-00142579 - wall fragment (eastern Gaulish terra sigillata, vessel)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00142579&lt;/p&gt;
description: Modified: 2025-10-20T10:57:52+02:00
DOI: 10.18112/openneuro.ds005371.v2.3.0
title: Test-retest reliability of multi-metabolite edited MRS at 3T using PRESS and sLASER
DOI: 10.15468/dl.37pew2
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tokudaia osimensis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037994-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucdwv9
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vitis berlandieri"
 ]
}

 The dataset includes 275 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpz2j7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.062 -0.040815, 101.991737 -0.046382, 101.923204 -0.062946, 101.858088 -0.090098, 101.797993 -0.127171, 101.744398 -0.173251, 101.698622 -0.227204, 101.661793 -0.287702, 101.634818 -0.353255, 101.61836 -0.422249, 101.612826 -0.492985, 101.618351 -0.5637219999999999, 101.6348 -0.632718, 101.661769 -0.698274, 101.698593 -0.758775, 101.744367 -0.812733, 101.797964 -0.858818, 101.858064 -0.895895, 101.923186 -0.923051, 101.991728 -0.939616, 102.062 -0.945184, 102.132272 -0.939616, 102.200814 -0.923051, 102.265936 -0.895895, 102.326036 -0.858818, 102.379633 -0.812733, 102.425407 -0.758775, 102.462231 -0.698274, 102.4892 -0.632718, 102.505649 -0.5637219999999999, 102.511174 -0.492985, 102.50564 -0.422249, 102.489182 -0.353255, 102.462207 -0.287702, 102.425378 -0.227204, 102.379602 -0.173251, 102.326007 -0.127171, 102.265912 -0.090098, 102.200796 -0.062946, 102.132263 -0.046382, 102.062 -0.040815))"},{"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/0037995-251120083545085/datasets/export for details.
DOI: 10.17026/ar/zx7bdt
title: PAN-00175182 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175182&lt;/p&gt;
description: Modified: 2025-11-05T10:15:40+01:00
DOI: 10.15468/dl.3b9nu6
title: Occurrence Download

description: A dataset containing 4197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Cycas"
 ]
}

 The dataset includes 4197 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037996-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15032979
title: Flood Hazard Projections and Maps for the Delaware and Raritan Basins in the Northeast U.S. based on CESM2-LENS Large Ensemble

description: This dataset contains flood peaks, annual exceedance probability discharges, and associated flood maps based on hydrologic simulations using precipitation and temperature from CESM2-LENS 100 ensemble members from 1981 to 2100. The simulations are conducted based on downscaling of precipitation and temperature with seven downscaling techniques. For each combination of ensemble member (100) and downscaling technique (7), we run 120-years of continuous simulations.  The seven techniques consist of: detrended quantile matching (dqm); empirical quantile mapping (eqm); generalized quantile mapping (gpqm); mean variance adjustment (mva); parametric quantile mapping (pqm); quantile delta mapping (qdm); and a simple scaling. All file names are labelled for each method. For the CESM based simulations, flood frequency estimation is performed for three 34-year periods of 1981-2014 (historical), 2033-2066 (near future), and 2067-2100 (far future). This estimation using CESM is completed for each ensemble member and downscaling technique separately. For each simulation set, we perform flood frequency analysis using the Log-Pearson Type III (LPIII). Each file containing the results is named based on the downscaling method. For the flood peaks and AEPs, each csv contains the year, the value, the CESM member, and the LinkID associated with the river network. The river network provided is from the NHDPlusV2 for our study region and the LinkID corresponds to the COMID in this file. Finally, these flood frequency results are transformed to flood maps using Height Above Nearest Drainage (HAND) approach. The flood map rasters are labeled with time period, AEP, and downscaling method. Each map has values ranging from 0 to 100 indicating the number of ensemble member flood maps for a given scenario which had a given cell inundated. An accompanying paper discussing the results is under review.
DOI: 10.5281/zenodo.15032980
title: Flood Hazard Projections and Maps for the Delaware and Raritan Basins in the Northeast U.S. based on CESM2-LENS Large Ensemble

description: This dataset contains flood peaks, annual exceedance probability discharges, and associated flood maps based on hydrologic simulations using precipitation and temperature from CESM2-LENS 100 ensemble members from 1981 to 2100. The simulations are conducted based on downscaling of precipitation and temperature with seven downscaling techniques. For each combination of ensemble member (100) and downscaling technique (7), we run 120-years of continuous simulations.  The seven techniques consist of: detrended quantile matching (dqm); empirical quantile mapping (eqm); generalized quantile mapping (gpqm); mean variance adjustment (mva); parametric quantile mapping (pqm); quantile delta mapping (qdm); and a simple scaling. All file names are labelled for each method. For the CESM based simulations, flood frequency estimation is performed for three 34-year periods of 1981-2014 (historical), 2033-2066 (near future), and 2067-2100 (far future). This estimation using CESM is completed for each ensemble member and downscaling technique separately. For each simulation set, we perform flood frequency analysis using the Log-Pearson Type III (LPIII). Each file containing the results is named based on the downscaling method. For the flood peaks and AEPs, each csv contains the year, the value, the CESM member, and the LinkID associated with the river network. The river network provided is from the NHDPlusV2 for our study region and the LinkID corresponds to the COMID in this file. Finally, these flood frequency results are transformed to flood maps using Height Above Nearest Drainage (HAND) approach. The flood map rasters are labeled with time period, AEP, and downscaling method. Each map has values ranging from 0 to 100 indicating the number of ensemble member flood maps for a given scenario which had a given cell inundated. An accompanying paper discussing the results is under review.
DOI: 10.15468/dl.9kxzqh
title: Occurrence Download

description: A dataset containing 24445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-970.0",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Maniola jurtina",
 "Year 2005-2025"
 ]
}

 The dataset includes 24445 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23669/me9k2b
title: Croatian Election Study 2020: Pre-election public opinion survey (SUF edition)

description: The data were collected from a representative sample of adult citizens (over 18 years old) of the Republic of Croatia via multistage stratified simple random sampling. The sample comprised 979 people and was collected using the F2F-CAPI method in February and March 2020 (due to COVID-19 restrictions, data collection stopped after 97,9% of the planned sample was realized). The goal was to collect data on citizens' voting behavior and political attitudes before the 2020 parliamentary elections in Croatia (pre-election survey).
DOI: 10.15468/gzyxyd
title: VIS - Fishes in inland waters in Flanders, Belgium

description: VIS - Fishes in inland waters in Flanders, Belgium is a species occurrence dataset published by the Research Institute for Nature and Forest (INBO) and described in Brosens et al. 2015 (https://doi.org/10.3897/zookeys.475.8556). The dataset contains over 350,000 fish occurrences sampled between 1992 and 2012 from over 2,000 locations in inland rivers, streams, canals, and enclosed waters in Flanders, Belgium. The dataset includes over 64 fish species, as well as a number of non-target species (mainly crustaceans). The data are retrieved from the Fish Information System (VIS), a database set up to monitor the status of fishes and their habitats in Flanders and are collected in support of the Water Framework Directive, the Habitat Directive, certain red lists, and biodiversity research. Additional information, such as measurements, absence information and abiotic data are available upon request. Issues with the dataset can be reported at https://github.com/LifeWatchINBO/data-publication/tree/master/datasets/vis-inland-occurrencesLength and weight measurement data of the individual fishes, absence information, occurrence data since 2013, as well as abiotic data of the sampling points (pH, temperature, etc.) are not included in the Darwin Core Archive and are available upon request.To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/gzyxyd) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO.
DOI: 10.15468/dl.xbn987
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tristerix aphyllus (Miers ex DC.) Tiegh. ex Barlow & Wiens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 531 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011494-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9h6yeq
title: Occurrence Download

description: A dataset containing 749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Tristerix corymbosus (L.) Kuijt"
 ]
}

 The dataset includes 749 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007451-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.