cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q5spjk
title: Occurrence Download

description: A dataset containing 2002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Reynoutria multiflora (Thunb.) Moldenke, Pleuropterus multiflorus (Thunb.) Turcz., Polygonum hypoleucum (Nakai) Ohwi, Polygonum multiflorum Thunb., Polygonum multiflorum var. angulatum S.Y.Liu, Polygonum chinense Houtt., Polygonum multiflorum Thunb. ex A.Murray, Pleuropterus hypoleucus Nakai, Pleuropterus cordatus (Thunb.) Turcz., ? hypoleucum Ohwi, Fallopia multiflora var. hypoleuca (Kudo, Sasaki & Ohwi) Yonek. & H.Ohashi, Polygonum multiflorum var. hypoleucum (Ohwi) T.S.Liu, S.S.Ying & M.J.Lai, Aconogonon hypoleucum (Ohwi) Soják, Reynoutria multiflora var. hypoleuca (Kudo, Sasaki & Ohwi) S.S.Ying, Fagopyrum multiflorum (Thunb.) Grint., Helxine multiflorum (Thunb.) Raf., Fallopia multiflora (Thunb.) Haraldson, Fallopia multiflora (Thunb.) Czerep., Bilderdykia multiflora (Thunb.) Roberty & Vautier, Pleuropterus multiflorus (Thunb.) Turcz. ex Nakai, Fallopia multiflora var. angulata (S.Y.Liu) H.J.Yan, Z.J.Fang & Shi X.Yu, Polygonum hypoleucum (Nakai) Kudô & Sasaki, Polygonum multiflorum subsp. hypoleucum (Ohwi) Liu, Ying & Lai, 1976, Fallopia multiflora subsp. hypoleucum (Ohwi) Yonek. & H.Ohashi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2002 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016761-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18750/volumechange.2024.r2024
title: Swiss Glacier Volume Change (release 2024)

description: The comparison of digital elevation models derived from aerial remote sensing allows the computation of glacier ice volume changes over periods of years to decades. Ice volume changes have been converted to geodetic mass balances assuming a density of volume change of 850 kg m-3. The dataset contains all available observations for the most important Swiss glaciers up to present and is delivered as a .csv file.
DOI: 10.15468/dl.uxwx93
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globicephala macrorhynchus Gray, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 230 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016762-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14274434
title: Supplementary information of Lacustrine element drawdown and N2O emission driving protracted warming during the Toarcian Oceanic Anoxic Event
DOI: 10.5281/zenodo.14274435
title: Supplementary information of Lacustrine element drawdown and N2O emission driving protracted warming during the Toarcian Oceanic Anoxic Event
DOI: 10.5519/qd.h9sa2aqm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (55 records)
DOI: 10.15468/dl.72vuph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globicephalus macrorhynchus Gray, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016765-241126133413365/datasets/export for details.
DOI: 10.15468/dl.xn5uqr
title: Occurrence Download

description: A dataset containing 26028 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cotoneaster horizontalis Decne."
 ]
}

 The dataset includes 26028 records from 517 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016764-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmqn2q
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polanisia trachysperma Torr. & A.Gray, Polanisia dodecandra var. trachysperma (Torr. & A.Gray) Iltis, Jacksonia trachysperma (Torr. & A.Gray) Greene, Cleome trachysperma (Torr. & A.Gray) Pax & K.Hoffm., Polanisia dodecandra subsp. trachysperma (Torr. & A.Gray) Iltis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 459 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016766-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10097995
title: World Weather Repository ( Daily Updating )
DOI: 10.3886/e209902v1
title: Pro-democracy platform advocacy: Resisting Big Tech-mediated authoritarianism in Southeast Asia

description: Global platforms, such as Facebook, YouTube, X (formerly Twitter), TikTok, and Telegram, have faced widespread criticisms for facilitating authoritarian repression of dissident voices, especially in the Global South. In response, human rights defenders have increasingly launched advocacy efforts toward the foreign platforms to defend free speech. Despite the varying forms and effects of such transnational efforts, there lacks research that systematically examines their dynamics.<b> </b>Hence, this study advances a concept of <b>pro-democracy platform advocacy</b> and scrutinises<b> the extent to which such advocacy might affect Big Tech’s practices and curb platform-mediated repression </b>in the Global South. The comparative empirical evidence comes from Myanmar, Thailand, and Cambodia, as there exist similar combinations of digital repression while the human rights advocates adopt varying advocacy approaches during 2020-2024. We conduct an exploratory mixed-method analysis of an original dataset of 38 semi-structured expert interviews, 6000 Facebook posts, and relevant Meta’s Transparency Reports. We find that platform advocacy efforts are more likely to generate significant impact if the advocates focus on issues that resonate with Western democracies, promote international publicity, and prioritise marginalised voices. Together, the findings demonstrate achievements and challenges in resisting platform-mediated authoritarianism in an age of Big Tech oligopoly.
description: We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. Then, we we used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.
description: Publicly available Burmese, Thai, and Khmer social media posts on Facebook.
description: web scraping;
DOI: 10.3886/e209902v2
title: Pro-democracy platform advocacy: A dataset of public Facebook content

description: An anonymised dataset of public Burmese, Thai, and Khmer Facebook content posted during March - April 2024. We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. We used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.
description: We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. Then, we we used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.
description: Publicly available Burmese, Thai, and Khmer social media posts on Facebook.
description: web scraping;
DOI: 10.3886/e209902v3
title: Pro-democracy platform advocacy: A dataset of public Facebook content

description: An anonymised dataset of public Burmese, Thai, and Khmer Facebook content posted during March - April 2024. We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. We used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.
description: We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. Then, we we used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords.
description: Publicly available Burmese, Thai, and Khmer social media posts on Facebook.
DOI: 10.3886/e209902
title: Pro-democracy platform advocacy: A dataset of public Facebook content

description: An anonymised dataset of metadata and coding on public Facebook content posted during March - April 2024. We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. We used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords. This dataset includes metadata on random samples of 2000 Myanmar posts, 2000 Thai posts, and 2000 Cambodian posts with qualitative coding.
description: This dataset includes metadata on random samples of 2000 Myanmar posts, 2000 Thai posts, and 2000 Cambodian posts with qualitative coding.
description: Publicly available social media posts on Facebook.
description: The anonymised dataset does not contain original social media posts or their identifying information such as URLs, authors' names,and channels' names.
DOI: 10.15468/dl.bgugfb
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacocottus zonurus Bean, 1890",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 686 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016767-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pmkng
title: Occurrence Download

description: A dataset containing 2776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrilus planipennis Fairmaire, 1888",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 2776 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016768-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e209902v5
title: Pro-democracy platform advocacy: A dataset of public Facebook content

description: An anonymised dataset of metadata and coding of public Facebook content posted during March - April 2024. We first looked for public Facebook accounts or keywords associated with Myanmar, Cambodian, and Thai authoritarian content, including pro-regime propaganda, anti-dissident disinformation, promotion of anti-dissident violence, or anti-dissident doxing content. We used CrowdTangle – Meta's own social media monitoring tool – to capture content on a daily basis based on our list of authoritarian accounts and keywords. This dataset includes metadata on random samples of 2000 Myanmar posts, 2000 Thai posts, and 2000 Cambodian posts with qualitative coding.
description: This dataset includes metadata on random samples of 2000 Myanmar posts, 2000 Thai posts, and 2000 Cambodian posts with qualitative coding.
description: Publicly available social media posts on Facebook.
description: The anonymised dataset does not contain original social media posts or their identifying information such as URLs, authors' names,and channels' names.
DOI: 10.15468/dl.a2sa6h
title: Occurrence Download

description: A dataset containing 3203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "DatasetKey is Swiss National Databank of Vascular Plants",
 "OccurrenceStatus is Present",
 "TaxonKey is Amelanchier ovalis Medik.",
 "Year 2004-2024"
 ]
}

 The dataset includes 3203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016771-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vz74yz
title: Occurrence Download

description: A dataset containing 25238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pontederia crassipes Mart., Eichhornia cordifolia Gand., Pontederia elongata Balf., Pontederia crassicaulis Schltdl., Pontederia crassipes Roem. & Schult., Heteranthera formosa Miq., Piaropus mesomelas Raf., Eichhornia speciosa Kunth, Eichhornia crassipes (Mart.) Solms, Piaropus crassipes (Mart.) Britton, 1893, Piaropus crassipes (Mart.) Raf., Eichhornia crassicaulis Schltdl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 25238 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016770-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15184749
title: Indian Rainfall Erosivity Density Dataset (IREDD) for South Asia (1980–2018)

description: The Indian Rainfall Erosivity Density Dataset (IREDD) provides high-resolution, grid-based rainfall erosivity and erosivity density estimates for South Asia from 1980 to 2018. Developed using the Indian Monsoon Data Assimilation and Analysis (IMDAA) dataset with 1-hour temporal and 12 km spatial resolution, IREDD quantifies the erosive potential of rainfall by computing the R-factor (rainfall erosivity) and erosivity density (ED = R / P). The kinetic energy of rainfall events was calculated using the Van Dijk et al. (2002) method, and erosive storms were defined as those exceeding 2.4 mm/hr intensity. This dataset enables regional-scale assessment of soil erosion risk, hotspot detection, and trend analysis using tools such as the Mann-Kendall test and wavelet transforms.

Key Features:



Time span: 1980–2018

Spatial resolution: 12 km × 12 km

Temporal resolution: monthly and seasonal

Geographic coverage: South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka, Afghanistan)

Variables: Precipitation, Rainfall Erosivity (R-factor), Erosivity Density


Applications: Soil erosion modeling, land degradation monitoring, climate-resilient agricultural planning

File Format: NetCDF (.nc)

To be Cited:

Ahmed, I. A., Saharia, M., & Chakma, S. (2025). Erosivity density as an indicator of soil erosion risk in South Asia. CATENA, 251, 108766. https://doi.org/10.1016/j.catena.2025.108766
DOI: 10.5281/zenodo.15184748
title: Indian Rainfall Erosivity Density Dataset (IREDD) for South Asia (1980–2018)

description: The Indian Rainfall Erosivity Density Dataset (IREDD) provides high-resolution, grid-based rainfall erosivity and erosivity density estimates for South Asia from 1980 to 2018. Developed using the Indian Monsoon Data Assimilation and Analysis (IMDAA) dataset with 1-hour temporal and 12 km spatial resolution, IREDD quantifies the erosive potential of rainfall by computing the R-factor (rainfall erosivity) and erosivity density (ED = R / P). The kinetic energy of rainfall events was calculated using the Van Dijk et al. (2002) method, and erosive storms were defined as those exceeding 2.4 mm/hr intensity. This dataset enables regional-scale assessment of soil erosion risk, hotspot detection, and trend analysis using tools such as the Mann-Kendall test and wavelet transforms.

Key Features:



Time span: 1980–2018

Spatial resolution: 12 km × 12 km

Temporal resolution: monthly and seasonal

Geographic coverage: South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka, Afghanistan)

Variables: Precipitation, Rainfall Erosivity (R-factor), Erosivity Density


Applications: Soil erosion modeling, land degradation monitoring, climate-resilient agricultural planning

File Format: NetCDF (.nc)

To be Cited:

Ahmed, I. A., Saharia, M., & Chakma, S. (2025). Erosivity density as an indicator of soil erosion risk in South Asia. CATENA, 251, 108766. https://doi.org/10.1016/j.catena.2025.108766
DOI: 10.5281/zenodo.15206375
title: Indian Rainfall Erosivity Density Dataset (IREDD) for South Asia (1980–2018)

description: The Indian Rainfall Erosivity Density Dataset (IREDD) provides high-resolution, grid-based rainfall erosivity and erosivity density estimates for South Asia from 1980 to 2018. Developed using the Indian Monsoon Data Assimilation and Analysis (IMDAA) dataset with 1-hour temporal and 12 km spatial resolution, IREDD quantifies the erosive potential of rainfall by computing the R-factor (rainfall erosivity) and erosivity density (ED = R / P). The kinetic energy of rainfall events was calculated using the Van Dijk et al. (2002) method, and erosive storms were defined as those exceeding 2.4 mm/hr intensity. This dataset enables regional-scale assessment of soil erosion risk, hotspot detection, and trend analysis using tools such as the Mann-Kendall test and wavelet transforms.

Key Features:



Time span: 1980–2018

Spatial resolution: 12 km × 12 km

Temporal resolution: monthly and seasonal

Geographic coverage: South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka, Afghanistan)

Variables: Precipitation, Rainfall Erosivity (R-factor), Erosivity Density


Applications: Soil erosion modeling, land degradation monitoring, climate-resilient agricultural planning

File Format: NetCDF (.nc)

To be Cited:

Ahmed, I. A., Saharia, M., & Chakma, S. (2025). Erosivity density as an indicator of soil erosion risk in South Asia. CATENA, 251, 108766. https://doi.org/10.1016/j.catena.2025.108766
DOI: 10.15468/dl.24t8wk
title: Occurrence Download

description: A dataset containing 60867 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is eDNA samples from the surface ocean to the seafloor collected by RV Investigator voyage IN2017_V01 - Linking Modern and Paleo-Genetics at the Sabrina Coast East Antarctica (2017)"
 ]
}

 The dataset includes 60867 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020829-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtphe8
title: Occurrence Download

description: A dataset listing the 1991 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER.23.6_1",
 "OccurrenceStatus is Present",
 "Year 1980-2024"
 ]
}

 The dataset's 1991 records were derived from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071022-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.583d3f
title: Occurrence Download

description: A dataset containing 1690 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Moss occurrences in Kuznetsk depression (Altai-Sayan mountain country)"
 ]
}

 The dataset includes 1690 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344580-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67asin
title: Occurrence Download

description: A dataset containing 196630 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonchura punctulata (Linnaeus, 1758)"
 ]
}

 The dataset includes 196630 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007650-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7rspp
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material citation",
 "TaxonKey is Gymnogongrus Martius, 1833"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071772-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcpqmy
title: Occurrence Download

description: A dataset containing 6693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stephanocoenia intersepta (Esper, 1795)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6693 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010221-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjnafq
title: Occurrence Download

description: A dataset containing 326248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psittacula krameri (Scopoli, 1769)"
 ]
}

 The dataset includes 326248 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007643-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjknju
title: Occurrence Download

description: A dataset listing the 2024 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER.23.1_1",
 "OccurrenceStatus is Present",
 "Year 1980-2024"
 ]
}

 The dataset's 2024 records were derived from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071028-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfedu3
title: Occurrence Download

description: A dataset containing 387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnomerus fuliginosus Erichson, 1842)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 387 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042969-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.