cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-2312904506
title: BAG Montpellier

description: The BAG of Montpellier gathers researchers from distinct institutes (CBS, IGF, IRIM and LPHI) affiliated to the INSERM, the CNRS and the university of Montpellier. 
The CBS is a node of the national infrastructure FRISBI. In this context, it is developping new methodologies for efficient ligand screening by X-ray diffraction. It is also involved in solving the structure of novel therapeutic targets to develop novel drug candidates. 
The IGF is involved in characterizing membrane proteins (mainly GPCRs) in order to better understand their functioning for therapeutic application. 
The IRIM and LPHI are focusing on several therapeutic targets related to infectious diseases in order to identify and develop novel inhibitors.
DOI: 10.5281/zenodo.18714839
title: SHAXSNI BARKAMOLLASHTIRUVCHI TRENINGLARNING SHAXS RIVOJIGA TA'SIRI

description: Mazkur maqolada shaxsni barkamollashtiruvchi psixologik treninglarning shaxs rivojiga ko‘rsatadigan ta’siri nazariy va amaliy jihatdan tahlil qilinadi. Tadqiqotda barkamol shaxs tushunchasining psixologik mazmuni, shaxsiy rivojlanish jarayonida trening texnologiyalarining o‘rni va ahamiyati ilmiy asosda yoritiladi. Shuningdek, treninglar orqali shaxsning o‘zini anglash, emotsional barqarorlik, ijtimoiy faollik, mas’uliyat va mustaqil fikrlash kabi sifatlarini rivojlantirish imkoniyatlari tahlil qilinadi. Maqolada shaxsni barkamollashtiruvchi treninglarning psixologik mexanizmlari, ularning motivatsion va refleksiv jarayonlarga ta’siri hamda trening jarayonida yaratiladigan psixologik muhitning ahamiyati ochib beriladi. Tadqiqot natijalari barkamol shaxsni shakllantirishga qaratilgan trening dasturlarini takomillashtirish va ularni ta’lim hamda amaliy psixologiya sohalarida samarali qo‘llash uchun ilmiy-amaliy ahamiyatga ega.
DOI: 10.5281/zenodo.18714840
title: SHAXSNI BARKAMOLLASHTIRUVCHI TRENINGLARNING SHAXS RIVOJIGA TA'SIRI

description: Mazkur maqolada shaxsni barkamollashtiruvchi psixologik treninglarning shaxs rivojiga ko‘rsatadigan ta’siri nazariy va amaliy jihatdan tahlil qilinadi. Tadqiqotda barkamol shaxs tushunchasining psixologik mazmuni, shaxsiy rivojlanish jarayonida trening texnologiyalarining o‘rni va ahamiyati ilmiy asosda yoritiladi. Shuningdek, treninglar orqali shaxsning o‘zini anglash, emotsional barqarorlik, ijtimoiy faollik, mas’uliyat va mustaqil fikrlash kabi sifatlarini rivojlantirish imkoniyatlari tahlil qilinadi. Maqolada shaxsni barkamollashtiruvchi treninglarning psixologik mexanizmlari, ularning motivatsion va refleksiv jarayonlarga ta’siri hamda trening jarayonida yaratiladigan psixologik muhitning ahamiyati ochib beriladi. Tadqiqot natijalari barkamol shaxsni shakllantirishga qaratilgan trening dasturlarini takomillashtirish va ularni ta’lim hamda amaliy psixologiya sohalarida samarali qo‘llash uchun ilmiy-amaliy ahamiyatga ega.
DOI: 10.34740/kaggle/dsv/14901334
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.csezch
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudois nayaur"
 ]
}

 The dataset includes 1086 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032519-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f7uhv
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])",
 "StateProvince is one of (St. Vincent, Saint Vincent)"
 ]
 }
 ]
}

 The dataset includes 356 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032521-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79qjhj
title: Occurrence Download

description: A dataset containing 3335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astyanax caucanus",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3335 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032517-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c38hkk
title: Occurrence Download

description: A dataset containing 3467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salminus affinis",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3467 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032520-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmw9zw
title: Occurrence Download

description: A dataset containing 3625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andinoacara latifrons",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3625 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032522-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18714733
title: Modelagem Hidrológica e de Qualidade da Água Integrada a Geoprocessamento em Nuvem: Uma Abordagem com Python e Google Earth Engine para a Bacia do Rio São Francisco
title: Integrated Hydrological and Water Quality Modeling with Cloud Geoprocessing: A Python and Google Earth Engine Approach for the São Francisco River Basin

description: [PT] Este dataset e framework analítico apresentam uma análise espaço-temporal da Bacia Hidrográfica do Rio São Francisco (1985-2023). Utiliza computação em nuvem (Python/GEE) para simular o balanço hídrico (SWAT), a produção de sedimentos (MUSLE) e a qualidade da água (clorofila-a e turbidez). Os resultados documentam a perda de 19,6% da vegetação nativa e identificam 17.577 km² de áreas críticas para erosão, fornecendo subsídios para a gestão hídrica integrada e monitoramento ambiental contínuo.

[EN] This dataset and analytical framework present a spatiotemporal analysis of the São Francisco River Basin (1985-2023). It utilizes cloud computing (Python/GEE) to simulate water balance (SWAT), sediment yield (MUSLE), and water quality (chlorophyll-a and turbidity). The results document a 19.6% loss of native vegetation and identify 17,577 km² of critical areas for erosion, providing support for integrated water management and continuous environmental monitoring.

[ZH] 该数据集和分析框架介绍了圣弗朗西斯科河流域(1985-2023 年)的时空分析。它利用云计算(Python/GEE)模拟水平衡(SWAT)、泥沙产量(MUSLE)和水质(叶绿素-a 和浊度)。结果记录了 19.6% 的原生植被丧失,并确定了 17,577 平方公里的侵蚀关键区域,为综合水管理和持续环境监测提供支持。

[ES] Este conjunto de datos y marco analítico presentan un análisis espacio-temporal de la Cuenca del Río São Francisco (1985-2023). Utiliza computación en nube (Python/GEE) para simular el balance hídrico (SWAT), la producción de sedimentos (MUSLE) y la calidad del agua (clorofila-a y turbidez). Los resultados documentan una pérdida del 19,6% de la vegetación nativa e identifican 17.577 km² de áreas críticas para la erosión, brindando apoyo para la gestión hídrica integrada y el monitoreo ambiental continuo.

[FR] Ce jeu de données et ce cadre analytique présentent une analyse spatio-temporelle du bassin du fleuve São Francisco (1985-2023). Il utilise l'informatique en nuage (Python/GEE) pour simuler le bilan hydrique (SWAT), la production de sédiments (MUSLE) et la qualité de l'eau (chlorophylle-a et turbidité). Les résultats documentent une perte de 19,6 % de la végétation native et identifient 17 577 km² de zones critiques pour l'érosion, fournissant un soutien à la gestion intégrée de l'eau et à la surveillance environnementale continue.

[DE] Dieser Datensatz und analytische Rahmen präsentieren eine räumlich-zeitliche Analyse des Einzugsgebiets des Rio São Francisco (1985-2023). Es nutzt Cloud-Computing (Python/GEE), um die Wasserbilanz (SWAT), den Sedimentaustrag (MUSLE) und die Wasserqualität (Chlorophyll-a und Trübung) zu simulieren. Die Ergebnisse dokumentieren einen Verlust der einheimischen Vegetation um 19,6 % und identifizieren 17.577 km² kritische Erosionsgebiete, was ein integriertes Wassermanagement und eine kontinuierliche Umweltüberwachung unterstützt.
DOI: 10.15468/dd.jk63pr
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.5281/zenodo.18714732
title: Modelagem Hidrológica e de Qualidade da Água Integrada a Geoprocessamento em Nuvem: Uma Abordagem com Python e Google Earth Engine para a Bacia do Rio São Francisco
title: Integrated Hydrological and Water Quality Modeling with Cloud Geoprocessing: A Python and Google Earth Engine Approach for the São Francisco River Basin

description: [PT] Este dataset e framework analítico apresentam uma análise espaço-temporal da Bacia Hidrográfica do Rio São Francisco (1985-2023). Utiliza computação em nuvem (Python/GEE) para simular o balanço hídrico (SWAT), a produção de sedimentos (MUSLE) e a qualidade da água (clorofila-a e turbidez). Os resultados documentam a perda de 19,6% da vegetação nativa e identificam 17.577 km² de áreas críticas para erosão, fornecendo subsídios para a gestão hídrica integrada e monitoramento ambiental contínuo.

[EN] This dataset and analytical framework present a spatiotemporal analysis of the São Francisco River Basin (1985-2023). It utilizes cloud computing (Python/GEE) to simulate water balance (SWAT), sediment yield (MUSLE), and water quality (chlorophyll-a and turbidity). The results document a 19.6% loss of native vegetation and identify 17,577 km² of critical areas for erosion, providing support for integrated water management and continuous environmental monitoring.

[ZH] 该数据集和分析框架介绍了圣弗朗西斯科河流域(1985-2023 年)的时空分析。它利用云计算(Python/GEE)模拟水平衡(SWAT)、泥沙产量(MUSLE)和水质(叶绿素-a 和浊度)。结果记录了 19.6% 的原生植被丧失,并确定了 17,577 平方公里的侵蚀关键区域,为综合水管理和持续环境监测提供支持。

[ES] Este conjunto de datos y marco analítico presentan un análisis espacio-temporal de la Cuenca del Río São Francisco (1985-2023). Utiliza computación en nube (Python/GEE) para simular el balance hídrico (SWAT), la producción de sedimentos (MUSLE) y la calidad del agua (clorofila-a y turbidez). Los resultados documentan una pérdida del 19,6% de la vegetación nativa e identifican 17.577 km² de áreas críticas para la erosión, brindando apoyo para la gestión hídrica integrada y el monitoreo ambiental continuo.

[FR] Ce jeu de données et ce cadre analytique présentent une analyse spatio-temporelle du bassin du fleuve São Francisco (1985-2023). Il utilise l'informatique en nuage (Python/GEE) pour simuler le bilan hydrique (SWAT), la production de sédiments (MUSLE) et la qualité de l'eau (chlorophylle-a et turbidité). Les résultats documentent une perte de 19,6 % de la végétation native et identifient 17 577 km² de zones critiques pour l'érosion, fournissant un soutien à la gestion intégrée de l'eau et à la surveillance environnementale continue.

[DE] Dieser Datensatz und analytische Rahmen präsentieren eine räumlich-zeitliche Analyse des Einzugsgebiets des Rio São Francisco (1985-2023). Es nutzt Cloud-Computing (Python/GEE), um die Wasserbilanz (SWAT), den Sedimentaustrag (MUSLE) und die Wasserqualität (Chlorophyll-a und Trübung) zu simulieren. Die Ergebnisse dokumentieren einen Verlust der einheimischen Vegetation um 19,6 % und identifizieren 17.577 km² kritische Erosionsgebiete, was ein integriertes Wassermanagement und eine kontinuierliche Umweltüberwachung unterstützt.
DOI: 10.15468/dl.3fhx2v
title: Occurrence Download

description: A dataset containing 281640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantago lanceolata",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 281640 records from 487 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032476-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7aeeqn
title: Occurrence Download

description: A dataset containing 42100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colinus cristatus",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42100 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032523-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2316298
title: Pinniped Monitoring for the NPS Inventory and Monitoring San Francisco Bay Area Network: 1983-2025 - Data Package

description: Within the order Carnivora, the Pinnipedia sub-order is a group of marine mammals that includes sea lions, fur seals, true seals, and walruses. Pinnipeds are keystone species who serve as excellent indicators of marine ecosystem health because they respond quickly to changing oceanic conditions. Conservation concerns include effects of climate change, human disturbance, oil spills, fishing activities (operational and biological), natural and anthropogenically enhanced toxic algal blooms, preservation of haul out habitats, biomagnified contaminants, and disease.

Monitoring focuses on the two numerically dominant pinniped species that breed, haul out, and molt in San Francisco Bay Area Network (SFAN) parks: the Pacific Harbor Seal (Phoca vitulina richardii) and Northern Elephant Seal (Mirounga angustirostris). This information contributes significantly to the regional and stock-wide understanding of these species required under the Marine Mammal Protection Act of 1972. Ancillary data on other pinniped species are collected concurrently, but are not the primary targets of this monitoring protocol.

Monitoring is performed annually at two SFAN parks: Point Reyes National Seashore (PORE) and Golden Gate National Recreation Area (GOGA). Objectives are to 1) determine the long-term trends in population size and seasonal distribution of seal populations at primary sites in the SFAN parks during the breeding and molt seasons, 2) determine long-term trends in reproductive success of seals through annual estimates of pup production at PORE and GOGA, and 3) determine the long-term trends in sources, frequency, and level of effects of natural and anthropogenic disturbances on harbor seal haul out use and productivity.
DOI: 10.17632/b7bdv5gdf8
title: Replication Package: "Racial Self-Classification, Group Consciousness, and Public Employment Representation"

description: Reproduces all tables and figures in: "Racial Self-Classification, Group Consciousness, and Public Employment Representation," by Diogo Baerlocher & Rodrigo Schneider published at the Journal of Development Economics.
DOI: 10.17632/b7bdv5gdf8.1
title: Replication Package: "Racial Self-Classification, Group Consciousness, and Public Employment Representation"

description: Reproduces all tables and figures in: "Racial Self-Classification, Group Consciousness, and Public Employment Representation," by Diogo Baerlocher & Rodrigo Schneider published at the Journal of Development Economics.
DOI: 10.15468/dl.crd9k9
title: Occurrence Download

description: A dataset containing 3754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synbranchus marmoratus",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3754 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032524-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr2fcz
title: Occurrence Download

description: A dataset containing 4017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparganium angustifolium",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4017 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022544-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5rkps
title: Occurrence Download

description: A dataset containing 2792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Borassus aethiopum"
 ]
}

 The dataset includes 2792 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022546-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.24tbbm
title: Occurrence Download

description: A dataset containing 4992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylorhiza purpurella",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4992 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022545-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swekwf
title: Occurrence Download

description: A dataset containing 2393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmodium sessilifolium"
 ]
}

 The dataset includes 2393 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022548-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urxdjh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022549-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esrw6n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AED1340"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022547-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yznnfb
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macronycteris thomensis"
 ]
}

 The dataset includes 636 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022551-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4htryt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022553-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cu4xf
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus melas",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022556-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bybjqk
title: Occurrence Download

description: A dataset containing 135226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-14499.0",
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, France, Netherlands, Ireland, Belgium, Australia, Switzerland, Sweden, Germany)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potamopyrgus antipodarum (J.E.Gray, 1843)"
 ]
}

 The dataset includes 135226 records from 237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006427-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkdvsq
title: Occurrence Download

description: A dataset containing 29050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chamaedaphne calyculata, Chamaedaphne calyculata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29050 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022552-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn8jwf
title: Occurrence Download

description: A dataset containing 7049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pastinaca sativa",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7049 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022557-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.