cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mpd4p2
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanoxa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039521-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jsgc5
title: Occurrence Download

description: A dataset containing 731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.6568 39.92501,-76.6568 39.98307,-76.78941 39.98307,-76.78941 39.92501,-76.6568 39.92501))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 731 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039523-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exxhu3
title: Occurrence Download

description: A dataset containing 5131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia frutescens"
 ]
}

 The dataset includes 5131 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039517-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khkscs
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetralonia fulvescens",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039524-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48420/30030220
title: TPI UK ITL3 Scorecards 2025

description: The TPI UK ITL3 scorecards are produced to assess the United Kingdom's subregional productivity performance through a range of productivity indicators and drivers. These scorecards include data for 182 regions defined by the International Territorial Level 3 (ITL3). In addition, data is available for 12 aggregate ITL1 geographies, covering the whole of the United Kingdom. The Data is available for three <i>indicators</i> of productivity, and 12 productivity <i>drivers. </i>The 2025 edition refers to data ranging from 2020 to 2025 depending on the latest available data.The current ITL3 scorecards complement previous versions of the TPI UK ITL3 Productivity Scorecards and the TPI UK ITL1 Productivity Scorecards. The TPI UK ITL3 Productivity Scorecards provide a higher level of geographical granularity. They can be used as a tool by policymakers at the regional level to assess the productivity performance in their region, both relative to their ITL1 parent region and the UK as a whole, including key indicators that influence this performance.<b>This dataset includes:</b>Sources and methods documentation12 PDF files with the ITL3 scorecards for each of the ITL1 regions in the United KingdomCSV data file containing harmonised input data at the ITL3 and ITL1 levelTPI UK ITL3 DashboardsThe <i>TPI Productivity Dashboards</i> are interactive representations of the TPI UK ITL3 Scorecards. These dashboards have been created as a visualisation tool to fulfil the need for relevant data to allow policymakers to compare regional productivity performances across the country and to identify regional drivers that facilitate or hinder productivity in different UK geographic areas. Using the <i>UK TPI Productivity Dashboards</i>, policymakers and stakeholders can drill down to sub-regional levels and productivity measure perspectives. The Dashboards below offer an interactive and easy-to-use way to build a picture of productivity at different points in time.<b>Regional Interactive Dashboards:</b>· United Kingdom· East Midlands· East of England· London· North East· North West· Northern Ireland· Scotland· South East· South West· Wales· West Midlands· Yorkshire and The Humber
DOI: 10.48420/30030220.v1
title: TPI UK ITL3 Scorecards 2025

description: The TPI UK ITL3 scorecards are produced to assess the United Kingdom's subregional productivity performance through a range of productivity indicators and drivers. These scorecards include data for 182 regions defined by the International Territorial Level 3 (ITL3). In addition, data is available for 12 aggregate ITL1 geographies, covering the whole of the United Kingdom. The Data is available for three <i>indicators</i> of productivity, and 12 productivity <i>drivers. </i>The 2025 edition refers to data ranging from 2020 to 2025 depending on the latest available data.The current ITL3 scorecards complement previous versions of the TPI UK ITL3 Productivity Scorecards and the TPI UK ITL1 Productivity Scorecards. The TPI UK ITL3 Productivity Scorecards provide a higher level of geographical granularity. They can be used as a tool by policymakers at the regional level to assess the productivity performance in their region, both relative to their ITL1 parent region and the UK as a whole, including key indicators that influence this performance.<b>This dataset includes:</b>Sources and methods documentation12 PDF files with the ITL3 scorecards for each of the ITL1 regions in the United KingdomCSV data file containing harmonised input data at the ITL3 and ITL1 levelTPI UK ITL3 DashboardsThe <i>TPI Productivity Dashboards</i> are interactive representations of the TPI UK ITL3 Scorecards. These dashboards have been created as a visualisation tool to fulfil the need for relevant data to allow policymakers to compare regional productivity performances across the country and to identify regional drivers that facilitate or hinder productivity in different UK geographic areas. Using the <i>UK TPI Productivity Dashboards</i>, policymakers and stakeholders can drill down to sub-regional levels and productivity measure perspectives. The Dashboards below offer an interactive and easy-to-use way to build a picture of productivity at different points in time.<b>Regional Interactive Dashboards:</b>· United Kingdom· East Midlands· East of England· London· North East· North West· Northern Ireland· Scotland· South East· South West· Wales· West Midlands· Yorkshire and The Humber
DOI: 10.48420/30030220.v2
title: TPI UK ITL3 Scorecards 2025

description: The TPI UK ITL3 scorecards are produced to assess the United Kingdom's subregional productivity performance through a range of productivity indicators and drivers. These scorecards include data for 182 regions defined by the International Territorial Level 3 (ITL3). In addition, data is available for 12 aggregate ITL1 geographies, covering the whole of the United Kingdom. The Data is available for three <i>indicators</i> of productivity, and 12 productivity <i>drivers. </i>The 2025 edition refers to data ranging from 2020 to 2025 depending on the latest available data.The current ITL3 scorecards complement previous versions of the TPI UK ITL3 Productivity Scorecards and the TPI UK ITL1 Productivity Scorecards. The TPI UK ITL3 Productivity Scorecards provide a higher level of geographical granularity. They can be used as a tool by policymakers at the regional level to assess the productivity performance in their region, both relative to their ITL1 parent region and the UK as a whole, including key indicators that influence this performance.<b>This dataset includes:</b>Sources and methods documentation12 PDF files with the ITL3 scorecards for each of the ITL1 regions in the United KingdomCSV data file containing harmonised input data at the ITL3 and ITL1 levelTPI UK ITL3 DashboardsThe <i>TPI Productivity Dashboards</i> are interactive representations of the TPI UK ITL3 Scorecards. These dashboards have been created as a visualisation tool to fulfil the need for relevant data to allow policymakers to compare regional productivity performances across the country and to identify regional drivers that facilitate or hinder productivity in different UK geographic areas. Using the <i>UK TPI Productivity Dashboards</i>, policymakers and stakeholders can drill down to sub-regional levels and productivity measure perspectives. The Dashboards below offer an interactive and easy-to-use way to build a picture of productivity at different points in time.<b>Regional Interactive Dashboards:</b>· United Kingdom· East Midlands· East of England· London· North East· North West· Northern Ireland· Scotland· South East· South West· Wales· West Midlands· Yorkshire and The Humber
DOI: 10.15468/dl.fcmd5b
title: Occurrence Download

description: A dataset containing 3410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelidota geminata"
 ]
}

 The dataset includes 3410 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039528-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eprrex
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola polycephala"
 ]
}

 The dataset includes 39 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039526-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3qdhs
title: Occurrence Download

description: A dataset containing 1700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.52804 41.02151,-80.52804 41.14672,-80.73338 41.14672,-80.73338 41.02151,-80.52804 41.02151))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 1700 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039529-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcwy6q
title: Occurrence Download

description: A dataset containing 106193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amazona ochrocephala"
 ]
}

 The dataset includes 106193 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039470-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5533sk
title: Occurrence Download

description: A dataset containing 5574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexagenia",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 5574 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011918-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6nnhd
title: Occurrence Download

description: A dataset containing 4969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tricorythodes",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 4969 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011917-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mt4vqn
title: Occurrence Download

description: A dataset containing 5060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((10.09723 54.34066,10.15218 54.34066,10.15218 54.36264,10.09723 54.36264,10.09723 54.34066))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5060 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011919-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf3bbq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rutilus rutilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1830",
 "Year is less than or equal to 1834"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011921-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.waj53f
title: Occurrence Download

description: A dataset containing 7335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cedrus deodara",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 7335 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011920-260108223611665/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.31073509
title: DataSheeTwitter.xlsxMatriz de Datos Investigación Politainment on Twitter

description: The study examines how <i>politainment</i> programs adapted their strategies on Twitter during the April 2019 general elections to encourage participation, a key challenge in the context of digitalization and social television. Its innovative contribution lies in exploring interaction dynamics from a temporal perspective and identifying specific patterns of audience behavior. The analysis examines 7,059 tweets and 2,771 comments to understand these programs’ communication strategies and prosumers’ behavior, identifying patterns of engagement and participation on the social network.
DOI: 10.6084/m9.figshare.31073509.v1
title: DataSheeTwitter.xlsxMatriz de Datos Investigación Politainment on Twitter

description: The study examines how <i>politainment</i> programs adapted their strategies on Twitter during the April 2019 general elections to encourage participation, a key challenge in the context of digitalization and social television. Its innovative contribution lies in exploring interaction dynamics from a temporal perspective and identifying specific patterns of audience behavior. The analysis examines 7,059 tweets and 2,771 comments to understand these programs’ communication strategies and prosumers’ behavior, identifying patterns of engagement and participation on the social network.
DOI: 10.5281/zenodo.18257580
title: Corrigiola L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257581
title: Corrigiola L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.7sghrm
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus glabriuscula, Sorbus glabriuscula)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011922-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpbdk8
title: Occurrence Download

description: A dataset containing 4818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calidris alpina schinzii",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 },
 "Country is Sweden",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4818 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011923-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbtv2f
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya polyneura"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011924-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdyxcz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rutilus rutilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1835",
 "Year is less than or equal to 1839"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011925-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18257585
title: Corrigiola andina Planch. & Triana. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257584
title: Corrigiola andina Planch. & Triana. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257576
title: HUQUQIY ONG VA HUQUQIY MADANIYAT

description: Ushbu maqolada huquqiy ong va huquqiy madaniyat tushunchalarining mazmun-mohiyati, ularning jamiyat hayotidagi o‘rni va o‘zaro bog‘liqligi ilmiy-nazariy jihatdan tahlil qilinadi. Maqolada huquqiy ongning shakllanish omillari, uning tarkibiy qismlari hamda rivojlanish bosqichlari shaxsiy tajriba va madaniy muhit bilan uzviy bog‘liq holda yoritib beriladi. Shuningdek, huquqiy madaniyatning mazmuni, tarkibi, jamiyat a’zolarining huquqiy xulq-atvoriga ta’siri hamda uni shakllantirish mexanizmlari tahlil qilinadi. Ta’lim, tarbiya va ommaviy axborot vositalarining huquqiy madaniyatni yuksaltirishdagi roli alohida ta’kidlanadi. Maqolada huquqiy ong va huquqiy madaniyat o‘rtasidagi o‘zaro ta’sir,  yutuqlar va muammolar misollar bilan ko‘rsatib beriladi. Xulosa qismida esa huquqiy ong va huquqiy madaniyatni rivojlantirish yo‘llari hamda o‘quvchilar va jamiyat uchun amaliy tavsiyalar beriladi.
DOI: 10.15468/dl.qf6kwd
title: Occurrence Download

description: A dataset containing 1925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cedrus libani",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 1925 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011926-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18257575
title: HUQUQIY ONG VA HUQUQIY MADANIYAT

description: Ushbu maqolada huquqiy ong va huquqiy madaniyat tushunchalarining mazmun-mohiyati, ularning jamiyat hayotidagi o‘rni va o‘zaro bog‘liqligi ilmiy-nazariy jihatdan tahlil qilinadi. Maqolada huquqiy ongning shakllanish omillari, uning tarkibiy qismlari hamda rivojlanish bosqichlari shaxsiy tajriba va madaniy muhit bilan uzviy bog‘liq holda yoritib beriladi. Shuningdek, huquqiy madaniyatning mazmuni, tarkibi, jamiyat a’zolarining huquqiy xulq-atvoriga ta’siri hamda uni shakllantirish mexanizmlari tahlil qilinadi. Ta’lim, tarbiya va ommaviy axborot vositalarining huquqiy madaniyatni yuksaltirishdagi roli alohida ta’kidlanadi. Maqolada huquqiy ong va huquqiy madaniyat o‘rtasidagi o‘zaro ta’sir,  yutuqlar va muammolar misollar bilan ko‘rsatib beriladi. Xulosa qismida esa huquqiy ong va huquqiy madaniyatni rivojlantirish yo‘llari hamda o‘quvchilar va jamiyat uchun amaliy tavsiyalar beriladi.
DOI: 10.5281/zenodo.18257596
title: Cortaderia Stapf. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257597
title: Cortaderia Stapf. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257532
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Der Datensatz "Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland" des Robert Koch-Instituts dokumentiert die tägliche intensivmedizinische Versorgungslage seit der COVID-19-Pandemie. Basierend auf Meldungen aller intensivbettenführenden Krankenhäuser in Deutschland erfasst das DIVI-Intensivregister Echtzeitdaten zu belegten und freien Intensivbetten. Die Erhebung differenziert nach Altersgruppen, Regionen und Versorgungsstufen. COVID-19-Fälle auf Intensivstationen werden gesondert ausgewiesen. Die Daten stehen aggregiert auf Bundes-, Landes- und Kreisebene zur Verfügung. Damit bildet der Datensatz eine Grundlage für die Überwachung von Kapazitäten, die Koordination von Behandlungskapazitäten und politische Entscheidungsprozesse während der Pandemie und darüber hinaus.
DOI: 10.5281/zenodo.18257602
title: Cortaderia dioica Speg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18257603
title: Cortaderia dioica Speg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45