cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.92g5cb
title: Occurrence Download

description: A dataset containing 6042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus longispinus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 6042 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001296-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/103.01238
title: Dataset of material characterization of carbon nitride materials and their performance for arsenic remediation in water

description: This dataset was used in the main text figures of the Separation and Purification Technology publication https://doi.org/10.1016/j.seppur.2025.132941. We prepared reference carbon nitride material and a modified carbon nitride that possessed surface positive charges. We evaluated the performance of these materials for arsenic water remediation. We compared performance for both As(III) and As(V) species, and performed remediation tests in dark and light conditions.
DOI: 10.15468/dl.h42qtv
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Lethrinus harak"
 ]
}

 The dataset includes 86 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001302-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zb8v-8y39
title: "PromptTensor Prompt Bank (v1.0.1)"

description: "PromptTensor Prompt Bank (v1.0.1) is an English prompt dataset for LLM research and prompt-engineering experiments. The collection contains structured prompts labeled by domain\/subdomain\/intent to support filtering, benchmarking, and controlled generation workflows. Files are provided in multiple formats: prompts_public.jsonl (one JSON object per line) as the primary release, prompts.parquet for analytics-friendly workflows, prompts.csv as a flattened table view, and taxonomy.yaml describing the label taxonomy. Mirrors\/DOIs include Zenodo (doi:10.5281\/zenodo.18665254) and Harvard Dataverse (doi:10.7910\/DVN\/DIA6YP), with additional mirrors on Hugging Face, Kaggle, and GitHub.Canonical page:  PromptTensor Prompt Bank v1 | Prompt Tensor"
DOI: 10.15468/dl.tbm8u8
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster frigidus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 841 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001303-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn5tvs
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gadus morhua",
 "Year 1990-1995"
 ]
}

 The dataset includes 366 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001304-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.769hnm
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochlerotatus dorsalis"
 ]
}

 The dataset includes 153 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001308-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.929ztt
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Mentzelia candelariae)"
 ]
}

 The dataset includes 103 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001305-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9mnyt
title: Occurrence Download

description: A dataset containing 35778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbus domestica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35778 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001307-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fk2zz9
title: Occurrence Download

description: A dataset containing 16220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platalea ajaja",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16220 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001310-260225131425191/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.31416638
title: Anonymized refugee answers and sentiment data

description: This exploratory research examines the emotional trajectories of a group of Syrian refugee women living in Jordan, with particular attention to how past experiences, present conditions, and future expectations shape them. Data were collected through in-depth qualitative interviews facilitated by collaboration with a local humanitarian organization. A mixed analytical approach combining qualitative interpretation with quantitative techniques, including NRC Emotion Lexicon, hierarchical clustering, and Principal Component Analysis, was employed to identify emotional trajectories.Results revealed two primary emotional trajectories among participants: an emotionally constrained trajectory characterized by a shift from higher negative emotions in the past toward increasing trust and hope for the future, and an emotionally activated trajectory marked by heightened emotional intensity across time, particularly in the present, reflecting ongoing psychological strain and emotional ambivalence. Contextual variables such as perceived future control showed a partial association with emotional trajectories.These findings foreground the dynamic and non-linear nature of emotional adaptation among refugee women, demonstrating that resilience coexists with enduring distress. The study conceptualizes emotional life under displacement as shaped by the persistence of trauma alongside the reconfiguration of agency, underscoring the need for psychosocial frameworks that move beyond deficit-based models to comprehensive, grounded humanitarian and mental health interventions.
DOI: 10.6084/m9.figshare.31416638.v1
title: Anonymized refugee answers and sentiment data

description: This exploratory research examines the emotional trajectories of a group of Syrian refugee women living in Jordan, with particular attention to how past experiences, present conditions, and future expectations shape them. Data were collected through in-depth qualitative interviews facilitated by collaboration with a local humanitarian organization. A mixed analytical approach combining qualitative interpretation with quantitative techniques, including NRC Emotion Lexicon, hierarchical clustering, and Principal Component Analysis, was employed to identify emotional trajectories.Results revealed two primary emotional trajectories among participants: an emotionally constrained trajectory characterized by a shift from higher negative emotions in the past toward increasing trust and hope for the future, and an emotionally activated trajectory marked by heightened emotional intensity across time, particularly in the present, reflecting ongoing psychological strain and emotional ambivalence. Contextual variables such as perceived future control showed a partial association with emotional trajectories.These findings foreground the dynamic and non-linear nature of emotional adaptation among refugee women, demonstrating that resilience coexists with enduring distress. The study conceptualizes emotional life under displacement as shaped by the persistence of trauma alongside the reconfiguration of agency, underscoring the need for psychosocial frameworks that move beyond deficit-based models to comprehensive, grounded humanitarian and mental health interventions.
DOI: 10.15468/dl.sh5dx6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anotosaura vanzolinia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001311-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38fnvv
title: Occurrence Download

description: A dataset containing 33101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis curvula",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 33101 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001312-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89s6fr
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drimys brasiliensis Miers",
 "Year 1972-2025"
 ]
}

 The dataset includes 1191 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003800-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7920425
title: Porous Invariants for Linear Systems: POROUS Tool and experimental data

description: POROUS Tool and experimental data for Porous Invariants for Linear Systems. The code is maintained at https://github.com/davidjpurser/porous-tool Contains: the code in porous-tool-May2023.zip the results of experiements run on a Dell PowerEdge M620 with 2x Intel Xeon E5-2667 v2 CPUs and 256GB RAM in document-journal.csv as a summary file, listing each generated instance type, file name, success status, and timing information. Used as input to analysis.py. journal-data.zip containing individual randomly generated instances and their output Preliminary results were presented in the paper Porous Invariants. CAV 2021 by Engel Lefaucheux, Joël Ouaknine, David Purser and James Worrell.
description: This work was partially funded by DFG grant 389792660 as part of TRR 248 (see https://perspicuous-computing.science)
DOI: 10.15156/bio/sh1410459.10fu
title: SH1410459.10FU

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: 10.15156/bio/sh1410465.10fu
title: SH1410465.10FU

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: 10.15468/dl.gyx9aw
title: Occurrence Download

description: A dataset containing 2460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthurium gracile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2460 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006286-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1410468.10fu
title: SH1410468.10FU

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: 10.15156/bio/sh1410470.10fu
title: SH1410470.10FU

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: 10.15156/bio/sh1410476.10fu
title: SH1410476.10FU

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: 10.15156/bio/sh1410508.10fu
title: SH1410508.10FU

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: 10.15156/bio/sh1410512.10fu
title: SH1410512.10FU

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: 10.15156/bio/sh1410513.10fu
title: SH1410513.10FU

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: 10.15468/dl.axu1mp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003304-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvylvx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hieracium valoddae (Zahn) Prain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015881-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q1g88m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003309-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnk6yc
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003309-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.