cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nb4yrd
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ancistrorhynchus akeassiae Pérez-Vera"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004935-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjfehz
title: Occurrence Download

description: A dataset containing 1909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raphia P.Beauv.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1909 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121454-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj4k6d
title: Occurrence Download

description: A dataset containing 34022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-48.62 -2.20,-48.62 0.00,-45.16 0.00,-45.16 -2.20,-48.62 -2.20))"
 ]
}

 The dataset includes 34022 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006347-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b22j4p
title: Occurrence Download

description: A dataset containing 9543 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Mamíferos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-M)"
 ]
}

 The dataset includes 9543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005014-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xzrua
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aedes koreicus (Edwards, 1917)"
 ]
}

 The dataset includes 88 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098789-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k9drd
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Probreviceps macrodactylus (Nieden, 1926)"
 ]
}

 The dataset includes 82 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019011-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpwcx2
title: Occurrence Download

description: A dataset containing 1610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Amazona autumnalis"
 ]
}

 The dataset includes 1610 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fayqp
title: Occurrence Download

description: A dataset containing 102104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 102104 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068759-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7w4xn
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptodon discolor"
 ]
}

 The dataset includes 36 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068768-251120083545085/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.30968128
title: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology

description: Data from the paper: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology<br>Mike Thelwall, School of Information, Journalism and Communication, University of Sheffield, UK. Ralph Schroeder, Oxford Internet Institute, University of Oxford UK. Meena Dhanda, Visiting Professor, Department of Media and Communications, London School of Economics and Political Science, U.K. <br><b>Purpose: </b>It has become increasingly likely that Large Language Models (LLMs) will be used to score the quality of academic publications to support research assessment goals in the future. This may cause problems for fields with competing paradigms since there is a risk that one may be favoured, causing long term harm to the reputation of the other.<b>Design/methodology/approach: </b>To test whether this is plausible, study 1 uses 17 ChatGPTs to evaluate up to 100 journal articles from each of eight pairs of competing sociology paradigms (1490 altogether). Each article was assessed by prompting ChatGPT to take one of five roles: paradigm follower, opponent, antagonistic follower, antagonistic opponent, or neutral. Study 2 involved five pairs of more tightly defined paradigms.<b>Findings: </b>Articles were scored highest by ChatGPT when it followed the aligning paradigm, and lowest when it was told to devalue it and to follow the opposing paradigm. Broadly similar patterns occurred for most of the paradigm pairs. Follower ChatGPTs displayed only a small amount of favouritism compared to neutral ChatGPTs, but articles evaluated by an opposing paradigm ChatGPT had a substantial disadvantage in some cases.<b>Research limitations: </b>The data covers a single field and LLM.<b>Practical implications: </b>The results confirm that LLM instructions for research evaluation should be carefully designed to ensure that they are paradigm-neutral to avoid accidentally resolving conflicts between paradigms on a technicality by devaluing one side’s contributions.<b>Originality/value: </b>This is the first demonstration that LLMs can be prompted to show a partiality for academic paradigms.
DOI: 10.6084/m9.figshare.30968128.v2
title: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology

description: Data from the paper: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology<br>Mike Thelwall, School of Information, Journalism and Communication, University of Sheffield, UK. Ralph Schroeder, Oxford Internet Institute, University of Oxford UK. Meena Dhanda, Visiting Professor, Department of Media and Communications, London School of Economics and Political Science, U.K. <br><b>Purpose: </b>It has become increasingly likely that Large Language Models (LLMs) will be used to score the quality of academic publications to support research assessment goals in the future. This may cause problems for fields with competing paradigms since there is a risk that one may be favoured, causing long term harm to the reputation of the other.<b>Design/methodology/approach: </b>To test whether this is plausible, study 1 uses 17 ChatGPTs to evaluate up to 100 journal articles from each of eight pairs of competing sociology paradigms (1490 altogether). Each article was assessed by prompting ChatGPT to take one of five roles: paradigm follower, opponent, antagonistic follower, antagonistic opponent, or neutral. Study 2 involved five pairs of more tightly defined paradigms.<b>Findings: </b>Articles were scored highest by ChatGPT when it followed the aligning paradigm, and lowest when it was told to devalue it and to follow the opposing paradigm. Broadly similar patterns occurred for most of the paradigm pairs. Follower ChatGPTs displayed only a small amount of favouritism compared to neutral ChatGPTs, but articles evaluated by an opposing paradigm ChatGPT had a substantial disadvantage in some cases.<b>Research limitations: </b>The data covers a single field and LLM.<b>Practical implications: </b>The results confirm that LLM instructions for research evaluation should be carefully designed to ensure that they are paradigm-neutral to avoid accidentally resolving conflicts between paradigms on a technicality by devaluing one side’s contributions.<b>Originality/value: </b>This is the first demonstration that LLMs can be prompted to show a partiality for academic paradigms.
DOI: 10.6084/m9.figshare.30968128.v1
title: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology

description: Data from the paper: Can ChatGPT be a good follower of academic paradigms? Research quality evaluations in conflicting areas of sociology<br>Mike Thelwall, School of Information, Journalism and Communication, University of Sheffield, UK. Ralph Schroeder, Oxford Internet Institute, University of Oxford UK. Meena Dhanda, Visiting Professor, Department of Media and Communications, London School of Economics and Political Science, U.K. <br><b>Purpose: </b>It has become increasingly likely that Large Language Models (LLMs) will be used to score the quality of academic publications to support research assessment goals in the future. This may cause problems for fields with competing paradigms since there is a risk that one may be favoured, causing long term harm to the reputation of the other.<b>Design/methodology/approach: </b>To test whether this is plausible, study 1 uses 17 ChatGPTs to evaluate up to 100 journal articles from each of eight pairs of competing sociology paradigms (1490 altogether). Each article was assessed by prompting ChatGPT to take one of five roles: paradigm follower, opponent, antagonistic follower, antagonistic opponent, or neutral. Study 2 involved five pairs of more tightly defined paradigms.<b>Findings: </b>Articles were scored highest by ChatGPT when it followed the aligning paradigm, and lowest when it was told to devalue it and to follow the opposing paradigm. Broadly similar patterns occurred for most of the paradigm pairs. Follower ChatGPTs displayed only a small amount of favouritism compared to neutral ChatGPTs, but articles evaluated by an opposing paradigm ChatGPT had a substantial disadvantage in some cases.<b>Research limitations: </b>The data covers a single field and LLM.<b>Practical implications: </b>The results confirm that LLM instructions for research evaluation should be carefully designed to ensure that they are paradigm-neutral to avoid accidentally resolving conflicts between paradigms on a technicality by devaluing one side’s contributions.<b>Originality/value: </b>This is the first demonstration that LLMs can be prompted to show a partiality for academic paradigms.
DOI: 10.15468/xdh2x6
title: Flora de Chile - Museo Histórico de Placilla (MUHP)

description: Este conjunto de datos presenta los primeros registros digitalizados del herbario del Museo Histórico de Placilla (Valparaíso, Chile), el cual resguarda especímenes de flora nativa y, en menor medida, introducida. La versión inicial contiene 100 registros, que en su mayoría corresponden a plantas vasculares colectadas en la localidad de Placilla y sus alrededores inmediatos, representando así una muestra de la biodiversidad local de la región de Valparaíso.El objetivo principal de este herbario es documentar y preservar la flora del territorio comunal. Sin embargo, su alcance está diseñado para expandirse. Este recurso es dinámico y se actualizará periódicamente. Con el tiempo, se incorporarán especímenes provenientes de diversas localidades de Chile, con el fin de construir progresivamente un archivo que represente la riqueza florística de todo el país. Los datos incluyen información taxonómica (familia, género, especie), geográfica (localidad, coordenadas) y temporal (fecha de colecta), siguiendo los estándares de documentación de herbario.Este proyecto busca poner a disposición de la comunidad científica y el público general información primaria para la investigación en botánica, biogeografía, conservación y educación ambiental.
DOI: 10.15468/dl.v2ubqa
title: Occurrence Download

description: A dataset containing 241614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "OccurrenceStatus is Present",
 "TaxonKey is Myiopsitta monachus"
 ]
}

 The dataset includes 241614 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068765-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c55d8nt8q
title: MassIVE MSV000100351 - Thalassia testudinum shotgun proteomics
title: To determine the increase in number of identifiable peptides witnessed when using Pierce reversed-phase pH fractionation, we directly sequenced 100 ug of purified tryptic peptides, as well as another 100-ug aliquot from the same sample that had been split across 11 pH fractions (of which the latter 8 were sequenced). As such, nine RAW/MZML files have been uploaded: one for the unfractionated sample and eight others for the pH fractions.
DOI: 10.15468/dl.q79g55
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "DatasetKey is Field Museum of Natural History (Zoology) Mammal Collection",
 "TaxonKey is Rodentia",
 "Year is 1940"
 ]
}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068771-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242010
title: Apex College of Nursing Sciences, Igbo-Ukwu, Anambra State, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online

description: Apex College of Nursing Sciences, Igbo-Ukwu, Anambra State, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It’s Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar *Year*.{08058556110}<br>
DOI: 10.34740/kaggle/dsv/14311103
title: Data for the snowpole based vehicle localization
DOI: 10.15468/7h4zgc
title: Morpho-molecular analyses reveal two novel species and two new records of Dictyosporiaceae (Pleosporales) from Dulongjiang River in northwestern Yunnan Province, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wang, Ying, Bhat, D. Jayarama, Bao, Dan-Feng, Shen, Hong-Wei, Feng, Yuan, Luo, Zong-Long (2025): Morpho-molecular analyses reveal two novel species and two new records of Dictyosporiaceae (Pleosporales) from Dulongjiang River in northwestern Yunnan Province, China. MycoKeys 117: 1-27, DOI: 10.3897/mycokeys.117.145587AbstractYunnan Province is rich in freshwater resources, providing a favorable environment for freshwater fungi. As a result, numerous new species have been described in recent years, further supporting the extensive diversity of freshwater fungi in this region. During an investigation of lignicolous freshwater fungi from the Dulongjiang River, six fresh isolates of Dictyosporiaceae were obtained. The new collection includes two new species (Dictyocheirospora splendida and Jalapriya guttulata), two new records (D. nabanheensis and Dictyosporium hughesii), and one known species (Dictyosporium duliujiangense). They are introduced based on morphological evidence and molecular phylogenetic analysis of combined ITS, LSU, and tef 1 - α sequence data. Detailed descriptions and illustrations of these species are provided, and morphological comparison with similar taxa is discussed.
DOI: 10.5281/zenodo.18070377
title: Systematic Review Dataset: Quantum Computing Applications in Biodiversity Research

description: Dataset from an exploratory scoping review examining the intersection of quantum computing and biodiversity research. Includes 283 studies identified through AI-assisted screening (ASReview LAB) of 1,649 records from OpenAlex, arXiv, PubMed, Europe PMC, and Semantic Scholar. Screening used inclusive criteria to identify both direct applications and biodiversity studies with potential for quantum computing approaches.
DOI: 10.5281/zenodo.18070686
title: Systematic Review Dataset: Quantum Computing Applications in Biodiversity Research

description: Dataset from an exploratory scoping review examining the intersection of quantum computing and biodiversity research. Includes 283 studies identified through AI-assisted screening (ASReview LAB) of 1,649 records from OpenAlex, arXiv, PubMed, Europe PMC, and Semantic Scholar. Screening used inclusive criteria to identify both direct applications and biodiversity studies with potential for quantum computing approaches.
DOI: 10.5281/zenodo.18089378
title: High school mathematics exercises on exponentials logarithms and circles with difficulty annotations

description: This dataset contains curated upper-secondary mathematics exercises focused on exponential and logarithmic equations and analytic geometry of circles.

Each exercise is provided with its full text, source, topic category, reference solution, and a discrete difficulty label. Difficulty is further documented through annotations based on TIMSS cognitive domains and PISA proficiency levels, each accompanied by a short written motivation explaining the assignment.

The dataset is organised into topic-specific files and includes data dictionaries and auxiliary evaluation sheets to support reuse in educational research, learning analytics, and the development and evaluation of AI-based tutoring and assessment systems.
DOI: 10.5281/zenodo.18089379
title: High school mathematics exercises on exponentials logarithms and circles with difficulty annotations

description: This dataset contains curated upper-secondary mathematics exercises focused on exponential and logarithmic equations and analytic geometry of circles.

Each exercise is provided with its full text, source, topic category, reference solution, and a discrete difficulty label. Difficulty is further documented through annotations based on TIMSS cognitive domains and PISA proficiency levels, each accompanied by a short written motivation explaining the assignment.

The dataset is organised into topic-specific files and includes data dictionaries and auxiliary evaluation sheets to support reuse in educational research, learning analytics, and the development and evaluation of AI-based tutoring and assessment systems.
DOI: 10.15468/dl.4fmuzw
title: Occurrence Download

description: A dataset listing the 41 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Panama",
 "DatasetKey is one of (Tropicos MO Specimen Data, Tropicos Specimens Non-MO, The New York Botanical Garden Herbarium (NY), NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Herbario Nacional Colombiano (COL), Royal Botanic Gardens, Kew - Herbarium Specimens, Parcela permanente de vegetación en bosque seco tropical en el cañón del río Cauca (Antioquia), Arizona State University Vascular Plant Herbarium, Wisconsin State Herbarium, Vascular Plants, Plant Resources Center, Robert K. Godfrey Herbarium at Florida State University)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 37f13176-4dd6-46bf-9493-09d3513529da, ff90b050-c256-11db-b71b-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 3c6ad080-bdbe-11da-ac59-b8a03c50a862, 814cdfb5-d4f8-4453-815f-ea5df98e76bf, d6bd7c74-ff29-48f8-b5f5-e9dc1afff3db, ae447c50-b8a8-11d8-92a4-b8a03c50a862, 061b4f20-f241-11da-a328-b8a03c50a862, eac88d99-9f6c-4031-8fc4-8088f0e0dfe7)",
 "TaxonKey is Phyllanthaceae"
 ]
}

 The dataset's 41 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068772-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52wguk
title: Occurrence Download

description: A dataset listing the 941 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.11.6.5_1, DEU.11.6.6_1, DEU.11.10.2_1, DEU.11.10.3_1)",
 "OccurrenceStatus is Present",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 941 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068773-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.