cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.48una2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.7252 35.20006, -119.7218 35.19944, -119.7206 35.2014, -119.7234 35.20447, -119.7273 35.20451, -119.7291 35.20208, -119.7252 35.20006))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006410-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/dmyvyv6rz1s7yb1t
title: NRW sports school project 2017/2018

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Cross-section
description: Measurement/Test
description: Type of Study Cross-section
description: Data Collection Procedure Measurement/Test
DOI: 10.15468/dl.gm4mj7
title: Occurrence Download

description: A dataset containing 119143755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Occurrence evidence)",
 "CoordinateUncertaintyInMeters 0.0-2559.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida",
 "Year 1972-2024"
 ]
}

 The dataset includes 119143755 records from 2816 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006387-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnhke4
title: Occurrence Download

description: A dataset containing 25179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Boletus edulis"
 ]
}

 The dataset includes 25179 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003917-251120083545085/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/13836920
title: Financial and regulatory impact simulator
DOI: 10.15468/dl.m6qwp5
title: Occurrence Download

description: A dataset containing 1244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((76 11.5,77 11.5,77 12.5,76 12.5,76 11.5))",
 "TaxonKey is one of (Elephas maximus, Panthera tigris, Panthera pardus, Axis axis)",
 "Year 2010-2025"
 ]
}

 The dataset includes 1244 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003918-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17687221
title: Perfect-Play Databases for Dodgem on 3×3, 4×4, and 5×5 Boards (MongoDB Dump)

description: This repository contains a complete MongoDB dump of perfect-play evaluation databases for the combinatorial board game Dodgem on 3×3, 4×4, and 5×5 boards.

The databases were generated by exhaustive search using the open-source Python package dodgem:



GitHub: https://github.com/sekika/dodgem-py 

Python Package: https://pypi.org/project/dodgem-game/

Online Dodgem page: https://sekika.github.io/dodgem/


Content

The archive dodgem-mongodump.tar.gz (≈2.8 GB) is a mongodump of the MongoDB database dodgem_db, which stores exact game-theoretic evaluations for all reachable positions for board sizes n = 3, 4, 5.

For each board size n, the database contains:

eval_n collection 



Documents keyed by position key string: _id = "[[a...],[b...],turn]"

Fields:



value: evaluation score



≥ +100: the side to move has a forced win

≤ -100: the side to move has a forced loss

0: forced draw



depth: depth bucket (decreases with deeper search)

remain: heuristic “distance to exit” (pieces)



depth_n collection  



Index/bucket documents grouping candidate positions by depth and remain. 

Keys:



_id = "d{depth}r{remain}" with field key = [list of position keys] for small buckets 

For large buckets (> 300,000 positions):



parent document: _id = "d{depth}r{remain}", { "large": 1 } 

sharded sub-documents:  



_id = "d{depth}r{remain}i{index}"  

fields: { "dr": "d{depth}r{remain}", "index": index, "key": [...] }










The database sizes are approximately:



n = 3: 1,963 positions

n = 4: 393,900 positions

n = 5: 164,308,067 positions  


Total disk usage (uncompressed MongoDB) is about 14 GB.

Usage

To restore the database into a local MongoDB instance:

tar xfvz dodgem-mongodump.tar.gzmongorestore --drop mongodump

After restoration, the dodgem Python package can connect to the MongoDB server (database name dodgem_db) and:



play Dodgem against a perfect opponent on 3×3, 4×4, and 5×5 boards;

traverse the game tree from any position;

perform further analysis using the Python API.


References



E. R. Berlekamp, J. H. Conway, R. K. Guy (2003), Winning Ways for your Mathematical Plays, Vol. 3 (2nd ed.), A.K. Peters, pp. 749–750. 

Historical discussion and early win–loss tables (4×4 and 5×5): https://ics.uci.edu/~eppstein/cgt/dodgem.html 

Wikipedia article: https://en.wikipedia.org/wiki/Dodgem
DOI: 10.5281/zenodo.17687222
title: Perfect-Play Databases for Dodgem on 3×3, 4×4, and 5×5 Boards (MongoDB Dump)

description: This repository contains a complete MongoDB dump of perfect-play evaluation databases for the combinatorial board game Dodgem on 3×3, 4×4, and 5×5 boards.

The databases were generated by exhaustive search using the open-source Python package dodgem:



GitHub: https://github.com/sekika/dodgem-py 

Python Package: https://pypi.org/project/dodgem-game/

Online Dodgem page: https://sekika.github.io/dodgem/


Content

The archive dodgem-mongodump.tar.gz (≈2.8 GB) is a mongodump of the MongoDB database dodgem_db, which stores exact game-theoretic evaluations for all reachable positions for board sizes n = 3, 4, 5.

For each board size n, the database contains:

eval_n collection 



Documents keyed by position key string: _id = "[[a...],[b...],turn]"

Fields:



value: evaluation score



≥ +100: the side to move has a forced win

≤ -100: the side to move has a forced loss

0: forced draw



depth: depth bucket (decreases with deeper search)

remain: heuristic “distance to exit” (pieces)



depth_n collection  



Index/bucket documents grouping candidate positions by depth and remain. 

Keys:



_id = "d{depth}r{remain}" with field key = [list of position keys] for small buckets 

For large buckets (> 300,000 positions):



parent document: _id = "d{depth}r{remain}", { "large": 1 } 

sharded sub-documents:  



_id = "d{depth}r{remain}i{index}"  

fields: { "dr": "d{depth}r{remain}", "index": index, "key": [...] }










The database sizes are approximately:



n = 3: 1,963 positions

n = 4: 393,900 positions

n = 5: 164,308,067 positions  


Total disk usage (uncompressed MongoDB) is about 14 GB.

Usage

To restore the database into a local MongoDB instance:

tar xfvz dodgem-mongodump.tar.gzmongorestore --drop mongodump

After restoration, the dodgem Python package can connect to the MongoDB server (database name dodgem_db) and:



play Dodgem against a perfect opponent on 3×3, 4×4, and 5×5 boards;

traverse the game tree from any position;

perform further analysis using the Python API.


References



E. R. Berlekamp, J. H. Conway, R. K. Guy (2003), Winning Ways for your Mathematical Plays, Vol. 3 (2nd ed.), A.K. Peters, pp. 749–750. 

Historical discussion and early win–loss tables (4×4 and 5×5): https://ics.uci.edu/~eppstein/cgt/dodgem.html 

Wikipedia article: https://en.wikipedia.org/wiki/Dodgem
DOI: 10.15468/dl.cbupjy
title: Occurrence Download

description: A dataset containing 9889984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 1960-2025"
 ]
}

 The dataset includes 9889984 records from 5814 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003913-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anhftw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diodia teres",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008320-251120083545085/datasets/export for details.
DOI: 10.15468/dl.pkc5et
title: Occurrence Download

description: A dataset containing 10491668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Year is 2001"
 ]
}

 The dataset includes 10491668 records from 905 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008288-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnc9jr
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus pohlii"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008321-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mb9xua
title: Occurrence Download

description: A dataset containing 3304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 3304 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bxxms
title: Occurrence Download

description: A dataset containing 2816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diodia virginiana",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 2816 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008323-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32entn
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus oxylepis"
 ]
}

 The dataset includes 31 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvj27y
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Programme les sentinelles du climat - effets du changement climatique sur la biodiversité en région Nouvelle-Aquitaine - Observations de rhopalocères réalisées par le CEN Nouvelle-Aquitaine selon le protocole STERF adapté pour le programme"
 ]
}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008329-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28463813.v1
title: Mainstreaming and transnationalization of anti-gender ideas through social media: the case of CitizenGO

description: Social media platforms can be effective tools for mainstreaming and transnationalization of radical positions. Anti-gender ideas have particularly gained traction transnationally in recent years. Despite extensive research on the anti-gender movement, the specific role of social media remains underexplored. How do anti-gender organizations use social media to strategically mainstream and transnationalize their agenda? This study addresses this overarching question by focusing on CitizenGO, a digital advocacy organization that holds a key position within the anti-gender transnational advocacy network. We examine its multilingual social media network and activities over a decade (2013–2022) using computational and digital methods. The findings indicate that CitizenGO uses a sophisticated network of social media accounts to coordinate and amplify anti-gender messages across different languages and regions. The study suggests that CitizenGO’s strategic use of social media is aimed at mainstreaming and globalizing anti-gender agendas, contributing new insights into the mechanisms of digital advocacy and the transnational expansion of anti-gender networks.
DOI: 10.6084/m9.figshare.28463813
title: Mainstreaming and transnationalization of anti-gender ideas through social media: the case of CitizenGO

description: Social media platforms can be effective tools for mainstreaming and transnationalization of radical positions. Anti-gender ideas have particularly gained traction transnationally in recent years. Despite extensive research on the anti-gender movement, the specific role of social media remains underexplored. How do anti-gender organizations use social media to strategically mainstream and transnationalize their agenda? This study addresses this overarching question by focusing on CitizenGO, a digital advocacy organization that holds a key position within the anti-gender transnational advocacy network. We examine its multilingual social media network and activities over a decade (2013–2022) using computational and digital methods. The findings indicate that CitizenGO uses a sophisticated network of social media accounts to coordinate and amplify anti-gender messages across different languages and regions. The study suggests that CitizenGO’s strategic use of social media is aimed at mainstreaming and globalizing anti-gender agendas, contributing new insights into the mechanisms of digital advocacy and the transnational expansion of anti-gender networks.
DOI: 10.15468/dl.svmt9u
title: Occurrence Download

description: A dataset containing 1634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipsacus",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 1634 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mteggt
title: Occurrence Download

description: A dataset containing 54321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Psychotria"
 ]
}

 The dataset includes 54321 records from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008285-251120083545085/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/13868453
title: santa tree0sllution
DOI: 10.15468/dl.6k9xf2
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dreissena polymorpha",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 415 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008330-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17665009
title: Comparative analysis of TMO and DMS reactivities

description: Data for paper: Comparative analysis of TMO and DMS reactivities
DOI: 10.15468/dl.damx9e
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 1101 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008336-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a67cp4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus meyenianus"
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008335-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c54566
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echinochloa crus-galli",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 363 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008334-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.da9p6q
title: Occurrence Download

description: A dataset containing 41322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Cuba)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prionace glauca",
 "Year 2010-2025"
 ]
}

 The dataset includes 41322 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008333-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc257d0v
title: CCDC 2003096: Experimental Crystal Structure Determination

description: Related Article: M. Rajarajan, A. Dhandapani, M. Arockiadoss, S. Anandhavelu, M. Pasupathi, D. Rajaraman|2025|J.Mol.Struct.|1325|140911|doi:10.1016/j.molstruc.2024.140911
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.cc26q87g
title: CCDC 2047185: Experimental Crystal Structure Determination

description: Related Article: Mathiyazhagan Lavanya, Rajamanikandan Sundararaj, Kailasam Saravana Mani, Krishnakumar Balu, Mani Durai, Perwez Alam, Priya SD, Mathivanan Durai, Young Ho Ahn|2025|Chem. Sel.|10|e202405796|doi:10.1002/slct.202405796
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.cc289sq3
title: CCDC 2094785: Experimental Crystal Structure Determination

description: Related Article: Lu Tang, Xingyu Chang, Jing Shi, Zhenfan Wen, Chunyang Bi, Wukun Liu|2025|Eur.J.Med.Chem.|282|117014|doi:10.1016/j.ejmech.2024.117014
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.cc28sw76
title: CCDC 2109278: Experimental Crystal Structure Determination

description: Related Article: Aasif Helal, Md. Abdul Aziz, Syed Shaheen Shah, Mohammed Fettouhi|2025|U.S.Patents|||
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.cc2hktyv
title: CCDC 2311048: Experimental Crystal Structure Determination

description: Related Article: Ahmad Ali, Santa Mondal, Mehak Sood, Prasad V. Bharatam, Abu Taleb Khan|2025|Org.Chem.Front.|12|6288|doi:10.1039/d5qo00949a
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.cc2hkv42
title: CCDC 2311054: Experimental Crystal Structure Determination

description: Related Article: Ahmad Ali, Santa Mondal, Mehak Sood, Prasad V. Bharatam, Abu Taleb Khan|2025|Org.Chem.Front.|12|6288|doi:10.1039/d5qo00949a
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.