cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0075751.10fu
title: SH0075751.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive7734.20241212.9.2
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075752.10fu
title: SH0075752.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive7734.20251217.10
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7735.20241212.9.2
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075753.10fu
title: SH0075753.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive7735.20251217.10
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7736.20241212.9.2
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7736.20251217.10
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075754.10fu
title: SH0075754.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive7737.20241212.9.2
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7737.20251217.10
title: Micrococcus luteus (Schroeter 1872) Cohn 1872 emend. Nouioui et al. 2018

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075755.10fu
title: SH0075755.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/z22ntysstd
title: ICI-5 data (part 2)

description: Second part of ICI-5. See rest at:
Jaime, Camille (2025), “ICI-5 Flow and Histology Data”, Mendeley Data, V1, doi: 10.17632/rd9b4kg9yz.1
DOI: 10.17632/wggsh3dszp.1
title: Georeferenced database of Argentina’s protected areas system

description: We identified 575 designated terrestrial protected areas under IUCN categories I-VI, covering a total area of 322,684 km², with different levels of national and local government jurisdiction. This represents approximately 11.6% of Argentina’s total land area. Notably, the World Database of PAs lists only 395 PAs for Argentina. Therefore, our database is significantly more comprehensive and could serve as a valuable resource for conservation assessments and planning.
DOI: 10.34740/kaggle/dsv/10985988
title: Daftar Pengadilan Indonesia
DOI: 10.17632/d9ggkzp7bc.1
title: Content moderation from Twitter to X: policies, enforcement and community notes

description: This dataset contains: (1) Twitter/X policies from 2006 to late 2024 in markdown format; (2) calculations of policy changes over time; (3) Dutch-speaking community notes and corresponding posts, categorised by topic and user types; and (4) temporal search ranking of thousands of posts about immigration, dating from September to October 2023.
DOI: 10.17632/d9ggkzp7bc.2
title: Content moderation from Twitter to X: policies, enforcement and community notes

description: This dataset contains: (1) Twitter/X policies from 2006 to late 2024 in markdown format; (2) calculations of policy changes over time; (3) Dutch-speaking community notes and corresponding posts, categorised by topic and user types; and (4) temporal search ranking of thousands of posts about immigration, dating from September to October 2023.
DOI: 10.15468/dl.qtqdnp
title: Occurrence Download

description: A dataset containing 64177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.70285 -4.55157,-71.53387 -4.55157,-71.53387 13.45522,-87.70285 13.45522,-87.70285 -4.55157))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobatidae"
 ]
}

 The dataset includes 64177 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001234-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hd96h
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sesbania grandiflora (L.) Poir.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 559 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001242-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avrszk
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sinoxylon unidentatum (Fabricius, 1801))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001243-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mws42n
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.94794 14.37091,-91.55927 14.37091,-91.55927 14.65855,-91.94794 14.65855,-91.94794 14.37091))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 202 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001245-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h7wxx
title: Occurrence Download

description: A dataset containing 46389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Solomon Islands",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 46389 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001244-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6ypdq
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myrmecophaga tridactyla Linnaeus, 1758",
 "Year 1954-2025"
 ]
}

 The dataset includes 70 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001246-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zx9mz
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sirex noctilio Fabricius, 1773)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 716 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001247-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jehcjn
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sunius melanocephalus (Fabricius, 1792)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 481 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001248-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00006228.0
title: Available IPD datapackage for study 'A Phase I Study to Evaluate the Safety, Tolerability, and Efficacy of MEDI4736 in Combination With Tremelimumab in Subjects With Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck'

description: This is a multicenter, open-label, dose-exploration and dose-expansion study to evaluate the safety, tolerability, antitumor activity, PK, pharmacodynamics, and immunogenicity of MEDI4736 in combination with tremelimumab in subjects with recurrent/metastatic squamous cell carcinoma of the head and neck.
DOI: 10.25934/pr00010551.0
title: Available datapackage for study 'A Phase II, Randomized, Open-Label, Multi-Center, Global Study of MEDI4736 Monotherapy, Tremelimumab Monotherapy, and MEDI4736 in Combination With Tremelimumab in Patients With Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck (SCCHN)'

description: The purpose of this study is to determine the efficacy and safety of investigational medical products (MEDI4736 monotherapy, tremelimumab monotherapy, and MEDI4736 + tremelimumab combination therapy) in the treatment of patients with recurrent or metastatic carcinoma of the head and neck who have progressed during or after treatment with a platinum containing regimen for recurrent/metastatic disease.
DOI: 10.6084/m9.figshare.28570403
title: Data_2410.xlsx

description: This dataset is a collection of evaluations related to educational recommendations or interventions for students with specific learning scenarios, namely "Allophone" (non-native speakers) and "TDAH" (Attention Deficit Hyperactivity Disorder, or ADHD). It is part of a study to assess the pertinence, feasibility, and inclusivity of various teaching strategies, possibly in a classroom setting. The data is structured in two main sections, which I’ll describe below based on the columns and their apparent purpose.<br><br><b>Structure and Columns</b><b>First Section: Evaluation of Recommendations</b><br>The first part of the dataset contains rows with the following columns:uid: Unique identifier for the evaluator (e.g., UID-PY02O01VU).session_number: Indicates the session in which the evaluation occurred (e.g., 1 or 2).recommendation_id: A unique identifier for the specific recommendation being evaluated (e.g., 96, 97, etc.).pertinence: A rating (1–5) assessing how relevant or appropriate the recommendation is.faisabilite: A rating (1–5) assessing the feasibility or practicality of implementing the recommendation.inclusivite: A rating (1–5) assessing how inclusive the recommendation is for the student group.Scenario: The student condition or context, either "Allophone" or "TDAH."Mode: The method of recommendation delivery, either "Typique" (typical/classroom-based) or "AI" (likely AI-generated or chatbot-based).PU: Perceived Usefulness, possibly a score (range varies, e.g., 6–22).PEU: Perceived Ease of Use, possibly a score (range varies, e.g., 6–23).Attitude: Attitude toward the recommendation, possibly a score (e.g., 6 or 10).BI: Behavioral Intention, possibly a score indicating intent to use the recommendation (e.g., 2, 6, or 10).This section logs individual evaluations of recommendations, with each row representing one user’s rating of a specific recommendation in a given session.<br><br><b>Second Section: Detailed Recommendation</b><br>EvaluationsThe second part provides more context about the recommendations and their evaluations, with these columns:session_number, recommendation_id, pertinence, faisabilite, inclusivite, Scenario, Mode: Same as above.Contenu: The content or description of the recommendation (e.g., "proposition des cours spécifiques de la langue française" or "Utiliser un Timer pour que l'enfant reste concentré").Type_Evaluation: The type of evaluation, consistently "Hetero" (likely indicating peer or external evaluation rather than self-evaluation).PU, PEU, Attitude, BI: Same as above.uid_eval: The unique ID of the evaluator (e.g., UID-YOV8V5TYH).uid_source: The unique ID of the source or creator of the recommendation (e.g., UID-Y9GA9MTAP).
DOI: 10.15468/dl.cw53be
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Chaetocercus berlepschi Simon, 1889, Priodontes maximus (Kerr, 1792))",
 "Year 2022-2025"
 ]
}

 The dataset includes 373 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001249-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttj8wg
title: Occurrence Download

description: A dataset containing 3421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neelipleona",
 "Year is greater than or equal to 2000",
 "Continent is Europe"
 ]
}

 The dataset includes 3421 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001251-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15002932
title: Data set dum

description: Un data set dum
DOI: 10.5281/zenodo.15002933
title: Data set dum

description: Un data set dum
DOI: 10.5281/zenodo.15002944
title: Data set dum

description: Un data set dum
DOI: 10.57765/2003342
title: SpgVolNet

description: Trained models, training data, and example XRD patterns for deep learning to predict space groups and lattice volumes of crystal structures from XRD patterns.
DOI: 10.15468/dl.vpnyqm
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "GadmGid is SWE.13_1",
 "TaxonKey is Ficaria verna Huds.",
 "Year 2022-2025"
 ]
}

 The dataset includes 561 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001253-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00008156.0
title: Available IPD datapackage for study 'A Phase II, Multi-Center, Single-Arm, Global Study of MEDI4736 Monotherapy in Patients With Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck (SCCHN)'

description: Primary Objective: To assess the efficacy of MEDI4736 monotherapy in terms of ORR
DOI: 10.15468/dl.ut39g8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stethorus nigripes Kapur, 1948",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001255-250310093411724/datasets/export for details.
DOI: 10.15468/dl.jsym2w
title: Occurrence Download

description: A dataset containing 3421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neelipleona",
 "Year is greater than or equal to 2000",
 "Continent is Europe"
 ]
}

 The dataset includes 3421 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001256-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4h8q3
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chaetocercus berlepschi Simon, 1889",
 "Year 2022-2025"
 ]
}

 The dataset includes 342 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001257-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctzuuz
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Observation",
 "TaxonKey is Nitidulidae"
 ]
}

 The dataset's 13 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001254-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zdksu
title: Occurrence Download

description: A dataset containing 13559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guinea",
 "Geometry POLYGON((-8.65208 11.21874,-8.93434 11.21361,-9.24738 11.1161,-9.68872 11.03399,-10.04795 10.91083,-10.22244 10.79793,-10.54061 10.47975,-10.72536 10.37711,-10.84853 10.23342,-10.78694 9.97683,-10.69457 9.66891,-10.15059 9.5868,-9.59122 9.53035,-9.4116 9.52522,-9.16294 9.37992,-8.63948 9.4723,-8.53918 9.77155,-8.32364 9.88445,-8.11837 10.14105,-8.19021 10.36685,-8.29285 10.60292,-8.28259 10.81845,-8.29285 10.99294,-8.44681 11.08531,-8.65208 11.21874))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 13559 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001258-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.