cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3vkj5h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9449 -26.0614,44.9648 -26.0621,44.9648 -25.1504,43.6164 -25.1504,43.93 -25.627,44.5871 -25.7989,44.9449 -26.0614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010203-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ac49af
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ceratopipra rubrocapilla (Temminck, 1821))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016332-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6cqz5q
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caulerpa parvifolia Harv., 1860"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016331-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ted4ke
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Teratohyla midas (Lynch & Duellman, 1973)"
 ]
}

 The dataset includes 534 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe7m5f
title: Occurrence Download

description: A dataset containing 11615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ceratopipra rubrocapilla (Temminck, 1821))",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 11615 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016334-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244821
title: Adoption of Juncao Technology in the Developing Countries

description: The primary purpose of the study is to investigate how media framing shapes the adoption of Juncao technology. The research is based on a self-built corpus of the 97 English-language news reports (totaling 55,216 tokens) published between 2019 and 2025, collected using “Juncao technology” as the key search term. The 13 countries included in the corpus account for an estimated 514 million people (roughly 6–7% of the global population), spanning small island states to large African nations and providing broad geographic and demographic coverage. Analytical work was carried out using Python scripts — specifically employing BERTopic for theme mining and the NRC Emotion Lexicon for emotion analysis — along with the corresponding result datasets generated by these scripts.
description: Not applicable
description: Response Rates: Not applicable
description: Presence of Common Scales: Not applicable
description: A purposive sampling method was used to select the sample. Using "Juncao technology" as the key search term, English-language news reports published between 2019 and 2025 were collected from media outlets in 13 targeted Global South countries (primary recipients of Juncao technology), resulting in a final sample of 97 news reports.
description: All English-language news reports centered on Juncao technology, published between 2019 and 2025 by media outlets in 13 Global South countries (Africa: Ethiopia, Tanzania, South Africa, Rwanda, Botswana, Kenya; Asia: Malaysia, the Philippines; Oceania: Papua New Guinea, Fiji, Vanuatu; the Americas: Jamaica, Guyana). Smallest Geographic Unit: Countries include 13 Global South nations
description: web scraping; The data collection includes two main components: 1) Original English-language news reports (centered on Juncao technology) stored in Excel files, which were collected via keyword searches from media outlets in 13 Global South countries between 2019 and 2025; 2) Python scripts (used for thematic mining via BERTopic and emotion analysis via the NRC Emotion Lexicon) and their generated result datasets (also in Excel format). The scripts contain detailed comments on running environments, dependencies (listed in a separate <code>requirements.txt</code> file), and core analytical logic.
DOI: 10.3886/e244821v1
title: Adoption of Juncao Technology in the Developing Countries

description: The primary purpose of the study is to investigate how media framing shapes the adoption of Juncao technology. The research is based on a self-built corpus of the 97 English-language news reports (totaling 55,216 tokens) published between 2019 and 2025, collected using “Juncao technology” as the key search term. The 13 countries included in the corpus account for an estimated 514 million people (roughly 6–7% of the global population), spanning small island states to large African nations and providing broad geographic and demographic coverage. Analytical work was carried out using Python scripts — specifically employing BERTopic for theme mining and the NRC Emotion Lexicon for emotion analysis — along with the corresponding result datasets generated by these scripts.
description: Not applicable
description: Response Rates: Not applicable
description: Presence of Common Scales: Not applicable
description: A purposive sampling method was used to select the sample. Using "Juncao technology" as the key search term, English-language news reports published between 2019 and 2025 were collected from media outlets in 13 targeted Global South countries (primary recipients of Juncao technology), resulting in a final sample of 97 news reports.
description: All English-language news reports centered on Juncao technology, published between 2019 and 2025 by media outlets in 13 Global South countries (Africa: Ethiopia, Tanzania, South Africa, Rwanda, Botswana, Kenya; Asia: Malaysia, the Philippines; Oceania: Papua New Guinea, Fiji, Vanuatu; the Americas: Jamaica, Guyana). Smallest Geographic Unit: Countries include 13 Global South nations
description: web scraping; The data collection includes two main components: 1) Original English-language news reports (centered on Juncao technology) stored in Excel files, which were collected via keyword searches from media outlets in 13 Global South countries between 2019 and 2025; 2) Python scripts (used for thematic mining via BERTopic and emotion analysis via the NRC Emotion Lexicon) and their generated result datasets (also in Excel format). The scripts contain detailed comments on running environments, dependencies (listed in a separate <code>requirements.txt</code> file), and core analytical logic.
DOI: 10.5517/ccdc.csd.cc2lrxfq
title: CCDC 2406264: Experimental Crystal Structure Determination

description: Related Article: J.P. Chakiris, C.J. Sumby, D.A. Brooks, T.D. Ashton, S.M. Hickey|2026|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|82|55|doi:10.1107/S2053229625011167
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lrxgr
title: CCDC 2406265: Experimental Crystal Structure Determination

description: Related Article: J.P. Chakiris, C.J. Sumby, D.A. Brooks, T.D. Ashton, S.M. Hickey|2026|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|82|55|doi:10.1107/S2053229625011167
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ps3d0
title: CCDC 2495822: Experimental Crystal Structure Determination

description: Related Article: M. Hu, B. Lian|2026|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|82|60|doi:10.1107/S2053229625011635
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18448733
title: SuperDARN data in netCDF format (2010-Mar)

description: 2010-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6575062
title: SuperDARN data in netCDF format (2010-Mar)

description: 2010-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.7rgbc2
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tajuria jehana"
 ]
}

 The dataset includes 137 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005140-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.26800.83207
title: "CONTEMPORARY INTERPRETATION OF SACRED SPACES" A dissertation submitted in partial fulfilment of the academic requirement for graduation in architecture. Under the Guidance of Ar. Ratima Dagaonkar School of Architecture IPS Academy, Indore
DOI: 10.15468/dl.dgjfk2
title: Occurrence Download

description: A dataset containing 3758147461 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3758147461 records from 88637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004097-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17227993
title: Dataset for Writing activities
DOI: 10.5281/zenodo.18449575
title: Dataset for Writing activities
DOI: 10.15468/dl.uuqew7
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation)",
 "Country is Brazil",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Malacostraca"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005144-260129131611470/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/14698083
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.uvme9b
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agkistrodon bilineatus"
 ]
}

 The dataset includes 675 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005147-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssjvfz
title: Occurrence Download

description: A dataset containing 1971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laurus novocanariensis"
 ]
}

 The dataset includes 1971 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005150-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy72ys
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ypthima nareda"
 ]
}

 The dataset includes 140 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005151-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3nqmv
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athyma pravara"
 ]
}

 The dataset includes 466 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005152-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9fnj5
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimathyma ambica"
 ]
}

 The dataset includes 316 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005153-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18442640
title: Baltic power system model input/output databases from SpineOpt (EEM 2023 and RTUCON 2024)

description: This deposit provides four SpineOpt input and output databases (SQLite) for the Baltic power system modelling workflow (github.com/flpp-signature/Baltic-Model). The workflow is used to build and run open-source optimisation models of the Baltic power system for scenario analysis and model calibration/validation. The deposit includes the corresponding input databases (Input_EEM_2023.sqlite, Input_RTUCON_2024.sqlite) and output databases (Output_EEM_2023.sqlite, Output_RTUCON_2024.sqlite). The files support the results reported in the EEM 2023 paper (doi.org/10.1109/EEM58374.2023.10161795) and the RTUCON 2024 paper (doi.org/10.1109/RTUCON62997.2024.10830801).
DOI: 10.5281/zenodo.18442639
title: Baltic power system model input/output databases from SpineOpt (EEM 2023 and RTUCON 2024)

description: This deposit provides four SpineOpt input and output databases (SQLite) for the Baltic power system modelling workflow (github.com/flpp-signature/Baltic-Model). The workflow is used to build and run open-source optimisation models of the Baltic power system for scenario analysis and model calibration/validation. The deposit includes the corresponding input databases (Input_EEM_2023.sqlite, Input_RTUCON_2024.sqlite) and output databases (Output_EEM_2023.sqlite, Output_RTUCON_2024.sqlite). The files support the results reported in the EEM 2023 paper (doi.org/10.1109/EEM58374.2023.10161795) and the RTUCON 2024 paper (doi.org/10.1109/RTUCON62997.2024.10830801).
DOI: 10.15468/dl.en8yt4
title: Occurrence Download

description: A dataset containing 3409277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 3409277 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005116-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kut52
title: Occurrence Download

description: A dataset containing 2293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Paratrechina longicornis"
 ]
}

 The dataset includes 2293 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005159-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dmjzg
title: Occurrence Download

description: A dataset containing 1180282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "License is CC-BY-NC 4.0",
 "Year 2000-2026"
 ]
}

 The dataset includes 1180282 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005149-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwgz3u
title: Occurrence Download

description: A dataset containing 52588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orchesella, Seira domestica, Seira squamornata, Orchesella cinta)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 1970"
 ]
}

 The dataset includes 52588 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005141-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3r2p2
title: Occurrence Download

description: A dataset containing 4616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula)",
 "HasCoordinate is true",
 "Country is Brazil"
 ]
}

 The dataset includes 4616 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005162-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucvwg5
title: Occurrence Download

description: A dataset containing 2326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Elephas maximus",
 "Year 2001-2026"
 ]
}

 The dataset includes 2326 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005168-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7fubt
title: Occurrence Download

description: A dataset containing 42437187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 42437187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005131-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1581644
title: Content and Language Integrated Learning

description: The research paper highlight the peculiatities and importance of Content and Language Integrated Learning
DOI: 10.5281/zenodo.18441847
title: SeqIF Establishment Cohort, Image 3, Part 1

description: Tiles are pre-stacked and in "ome.tiff"-format.

Tile names are constructed as follows: "<TileID>_<X_COORD>_<Y_COORD>.ome.tiff".

X and Y coordinates correspond to the upper-left corner of each tile. 

Channel names and order can be found in "Img<ID>_channels.pkl"
DOI: 10.5281/zenodo.18441848
title: SeqIF Establishment Cohort, Image 3, Part 1

description: Tiles are pre-stacked and in "ome.tiff"-format.

Tile names are constructed as follows: "<TileID>_<X_COORD>_<Y_COORD>.ome.tiff".

X and Y coordinates correspond to the upper-left corner of each tile. 

Channel names and order can be found in "Img<ID>_channels.pkl"