cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/bwiplg
title: MIRRI0132403

description: Organism type: Filamentous Fungi ; Taxon name: Cochliobolus sativus ; Collection: MUCL 504 ; Country: Netherlands
DOI: 10.57907/mirri/coa13n
title: MIRRI0130099

description: Organism type: Filamentous Fungi ; Taxon name: Ophiostoma distortum ; Collection: MUCL 44868 ; Country: Belgium
DOI: 10.57907/mirri/d4wnrq
title: MIRRI0130098

description: Organism type: Filamentous Fungi ; Taxon name: Ophiostoma distortum ; Collection: MUCL 44867 ; Country: Belgium
DOI: 10.57907/mirri/fpfols/nl3zfh
title: MIRRI0130110.json

description: Strain json file
DOI: 10.57907/mirri/ftcfjj
title: MIRRI0133120

description: Organism type: Yeast ; Taxon name: Ogataea thermophila ; Collection: MUCL 52596 ; Country: Belgium
DOI: 10.57907/mirri/g2di07
title: MIRRI0133118

description: Organism type: Yeast ; Taxon name: Starmerella ; Collection: MUCL 52594 ; Country: Belgium
DOI: 10.57907/mirri/i0c0sc/mtwscn
title: MIRRI0130097.json

description: Strain json file
DOI: 10.57907/mirri/k6qfyu
title: MIRRI0133256

description: Organism type: Yeast ; Taxon name: Rhodotorula ; Collection: MUCL 52875 ; Country: Russia
DOI: 10.57907/mirri/nlpffb
title: MIRRI0133229

description: Organism type: Filamentous Fungi ; Taxon name: Diplodia pinea ; Collection: MUCL 52782 ; Country: China
DOI: 10.57907/mirri/ojbotj
title: MIRRI0132396

description: Organism type: Filamentous Fungi ; Taxon name: Colletotrichum musae ; Collection: MUCL 500 ; Country: Democratic Republic of the Congo
DOI: 10.57907/mirri/owdsrz/uyojqf
title: MIRRI0130083.json

description: Strain json file
DOI: 10.57907/mirri/sjgmfk/0ow1fe
title: MIRRI0133515.json

description: Strain json file
DOI: 10.57907/mirri/sjlyme
title: MIRRI0132390

description: Organism type: Filamentous Fungi ; Taxon name: Vanderbylia vicina ; Collection: MUCL 49985 ; Country: Democratic Republic of the Congo
DOI: 10.57907/mirri/txg4hi
title: MIRRI0130090

description: Organism type: Filamentous Fungi ; Taxon name: Bjerkandera adusta ; Collection: MUCL 44857 ; Country: Belgium
DOI: 10.57907/mirri/txg4hi/zroouj
title: MIRRI0130090.json

description: Strain json file
DOI: 10.57907/mirri/wagkgl/eujwtl
title: MIRRI0130123.json

description: Strain json file
DOI: 10.7910/dvn/gyekb8
title: Supplemental material: The microbiota of ensiled forages and of bulk tank milk on dairy cattle farms in northern Sweden - a case study

description: Supplemental Figures.
DOI: 10.15468/dl.rkv6ud
title: Occurrence Download

description: A dataset containing 1603820923 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1603820923 records from 31749 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077475-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mepmuj
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Amentotaxus argotaenia (Hance) Pilg., Alcimandra cathcartii (Hook.f. & Thomson) Dandy)"
 ]
}

 The dataset includes 155 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc7y7j
title: Occurrence Download

description: A dataset containing 5067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus",
 "Year 2025-2026"
 ]
}

 The dataset includes 5067 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032079-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxsbna
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichomycterus cachiraensis",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032080-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2v3brb
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astroblepus bellezaensis",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032081-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6f9qv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Achatina fulica"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032083-260208012135463/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.31376707
title: EMBEDDING MODELS: MEASURING RACISM IN LANGUAGE USING WORD EMBEDDINGS: METHODS AND APPLICATIONS IN SOUTH AFRICAN NEWS

description: Racism persists in language, but its contemporary forms are increasingly subtle, diffuse, and difficult to measure at scale, especially in contexts like post-apartheid South Africa, where explicit racist content may decline while inequalities persist. Word embeddings provide a means to measure racism in language. Yet most embedding-based studies focus on gender in Global North corpora, rely on ad hoc race dimensions, and rarely consider how normativity (e.g., White normativity) shapes the bipolar instrument commonly used to measure bias in embeddings. This research uses word embeddings to study racism in South African news and strengthens the methodological toolkit for constructing race dimensions in word embeddings.First, it uses Word2Vec embeddings to examine how Black and White categories are associated with socioeconomic stereotypes and health descriptors in South African news articles. Results suggested that discussions of poor socioeconomic conditions generally occur in the context of black and good socioeconomic conditions in white, and patterns correspond with human judgments. Health results were weaker, mixed, and corpus-dependent.Second, it investigates bias at the speaker level using news quotes. It constructs “speaker landscapes” that create a vector representation of speakers based on the language they use and measures the association of this vector to the centroid of topic keywords. The results show that White voices are often quoted in global and technical vaccination discourse, while Black voices are more peripheral and locally framed.Third, the thesis provides statistical metrics (PairDir and a PCA-based Axis Coherence Score) to assess anchor quality when constructing race dimensions. Name-based anchors, especially sub-Saharan African and European names, prove more stable and generalisable than American names, race terms, or geographical categories.Finally, the research investigates white normativity in race dimensions using the SSA/European categories and embedding models from the previous study. It shows that neutral and valence words tend to cluster closer to the White pole, demonstrating semantic normativity, and that bipolar difference-of-centroids axes can amplify one pole beyond what unipolar measures imply.Overall, the thesis introduces a computational approach for studying racism and race-based identity bias in South African news, shows evidence of those in new coverage, and provides statistical metrics to improve the construction of race dimensions. It also links theories of White normativity to the geometry of embedding spaces and advances the methodological tools for analysing racism in language using word embeddings.
DOI: 10.6084/m9.figshare.31376707.v2
title: EMBEDDING MODELS: MEASURING RACISM IN LANGUAGE USING WORD EMBEDDINGS: METHODS AND APPLICATIONS IN SOUTH AFRICAN NEWS

description: Racism persists in language, but its contemporary forms are increasingly subtle, diffuse, and difficult to measure at scale, especially in contexts like post-apartheid South Africa, where explicit racist content may decline while inequalities persist. Word embeddings provide a means to measure racism in language. Yet most embedding-based studies focus on gender in Global North corpora, rely on ad hoc race dimensions, and rarely consider how normativity (e.g., White normativity) shapes the bipolar instrument commonly used to measure bias in embeddings. This research uses word embeddings to study racism in South African news and strengthens the methodological toolkit for constructing race dimensions in word embeddings.First, it uses Word2Vec embeddings to examine how Black and White categories are associated with socioeconomic stereotypes and health descriptors in South African news articles. Results suggested that discussions of poor socioeconomic conditions generally occur in the context of black and good socioeconomic conditions in white, and patterns correspond with human judgments. Health results were weaker, mixed, and corpus-dependent.Second, it investigates bias at the speaker level using news quotes. It constructs “speaker landscapes” that create a vector representation of speakers based on the language they use and measures the association of this vector to the centroid of topic keywords. The results show that White voices are often quoted in global and technical vaccination discourse, while Black voices are more peripheral and locally framed.Third, the thesis provides statistical metrics (PairDir and a PCA-based Axis Coherence Score) to assess anchor quality when constructing race dimensions. Name-based anchors, especially sub-Saharan African and European names, prove more stable and generalisable than American names, race terms, or geographical categories.Finally, the research investigates white normativity in race dimensions using the SSA/European categories and embedding models from the previous study. It shows that neutral and valence words tend to cluster closer to the White pole, demonstrating semantic normativity, and that bipolar difference-of-centroids axes can amplify one pole beyond what unipolar measures imply.Overall, the thesis introduces a computational approach for studying racism and race-based identity bias in South African news, shows evidence of those in new coverage, and provides statistical metrics to improve the construction of race dimensions. It also links theories of White normativity to the geometry of embedding spaces and advances the methodological tools for analysing racism in language using word embeddings.
DOI: 10.6084/m9.figshare.31376707.v1
title: EMBEDDING MODELS: MEASURING RACISM IN LANGUAGE USING WORD EMBEDDINGS: METHODS AND APPLICATIONS IN SOUTH AFRICAN NEWS

description: Racism persists in language, but its contemporary forms are increasingly subtle, diffuse, and difficult to measure at scale, especially in contexts like post-apartheid South Africa, where explicit racist content may decline while inequalities persist. Word embeddings provide a means to measure racism in language. Yet most embedding-based studies focus on gender in Global North corpora, rely on ad hoc race dimensions, and rarely consider how normativity (e.g., White normativity) shapes the bipolar instrument commonly used to measure bias in embeddings. This research uses word embeddings to study racism in South African news and strengthens the methodological toolkit for constructing race dimensions in word embeddings.First, it uses Word2Vec embeddings to examine how Black and White categories are associated with socioeconomic stereotypes and health descriptors in South African news articles. Results suggested that discussions of poor socioeconomic conditions generally occur in the context of black and good socioeconomic conditions in white, and patterns correspond with human judgments. Health results were weaker, mixed, and corpus-dependent.Second, it investigates bias at the speaker level using news quotes. It constructs “speaker landscapes” that create a vector representation of speakers based on the language they use and measures the association of this vector to the centroid of topic keywords. The results show that White voices are often quoted in global and technical vaccination discourse, while Black voices are more peripheral and locally framed.Third, the thesis provides statistical metrics (PairDir and a PCA-based Axis Coherence Score) to assess anchor quality when constructing race dimensions. Name-based anchors, especially sub-Saharan African and European names, prove more stable and generalisable than American names, race terms, or geographical categories.Finally, the research investigates white normativity in race dimensions using the SSA/European categories and embedding models from the previous study. It shows that neutral and valence words tend to cluster closer to the White pole, demonstrating semantic normativity, and that bipolar difference-of-centroids axes can amplify one pole beyond what unipolar measures imply.Overall, the thesis introduces a computational approach for studying racism and race-based identity bias in South African news, shows evidence of those in new coverage, and provides statistical metrics to improve the construction of race dimensions. It also links theories of White normativity to the geometry of embedding spaces and advances the methodological tools for analysing racism in language using word embeddings.
DOI: 10.5281/zenodo.18713548
title: Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints

description: Title: Simulation Dataset for the Paper: Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints

 

This file contains the simulation dataset used in the academic paper entitled Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints. The dataset supports model construction, numerical simulation, sensitivity analysis, and result verification in the research. It includes variables such as ecological carrying capacity, environmental regulation intensity, ecological compensation standards, tourist volume, ecological benefits, economic benefits, and social welfare indicators under different scenarios.

 

The data is provided for academic research and reference only. Please indicate the source when using or reusing the dataset.
DOI: 10.5281/zenodo.18713549
title: Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints

description: Title: Simulation Dataset for the Paper: Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints

 

This file contains the simulation dataset used in the academic paper entitled Optimizing environmental regulation and ecological compensation for social welfare maximization in protected area ecotourism under ecological constraints. The dataset supports model construction, numerical simulation, sensitivity analysis, and result verification in the research. It includes variables such as ecological carrying capacity, environmental regulation intensity, ecological compensation standards, tourist volume, ecological benefits, economic benefits, and social welfare indicators under different scenarios.

 

The data is provided for academic research and reference only. Please indicate the source when using or reusing the dataset.
DOI: 10.15468/dl.62u79f
title: Occurrence Download

description: A dataset listing the 8597 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -10,180 -10,180 10,-180 10,-180 -10))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 8597 records were derived from 1318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032065-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztbguw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Miroculis duckensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032084-260208012135463/datasets/export for details.
DOI: 10.15468/dl.ys8j54
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemibrycon yacopiae",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032085-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mftpgk
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lebiasina ortegai",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032087-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz4ubm
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudois nayaur"
 ]
}

 The dataset includes 43 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032088-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muw6qr
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parodon alfonsoi",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032086-260208012135463/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.31376635
title: WT and GCN5L1 cKO Total Protein

description: Proteomic data from wildtype and cardiac-specific GCN5L1 KO mice.
DOI: 10.6084/m9.figshare.31376635.v1
title: WT and GCN5L1 cKO Total Protein

description: Proteomic data from wildtype and cardiac-specific GCN5L1 KO mice.
DOI: 10.15468/p4am3t
title: 2025_Citizen_Participation_Observation_information_NSMK_AR_102

description: These records are provided by the National Science Museum of Korea through the National Natural History Research Information System.
The dataset contains curated biodiversity occurrence records generated through a citizen-participatory monitoring project, in which citizen participants contribute biodiversity observations from their local regions.
Citizen-contributed observation records were subsequently taxonomically identified and validated under institutional data curation workflows.
DOI: 10.17630/b5a871be-8160-4653-9280-6d65e1be7492
title: Azobenzene reduction and derivatisation, and Al–H bond insertion with β-diketiminate gallium(I) complexes (dataset)

description: The data support the associated journal publication including supplementary information of the article. Further information around the data can be found in the main manuscript and the supplementary information including references. NMR data as spectrometer (Bruker) folders for individual experiments are provided. These can be opened with common NMR software such as MNova or NMRium.
DOI: 10.15468/dl.skmstj
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neofelis nebulosa"
 ]
}

 The dataset includes 507 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032089-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gau4f8
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Living Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scleractinia",
 "Year 1965-2026"
 ]
}

 The dataset includes 920 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032090-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5haz3
title: Occurrence Download

description: A dataset containing 2844 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)"
 ]
 }
 },
 "TaxonKey is one of (Capreolus capreolus, Lepus europaeus, Sus scrofa, Rupicapra rupicapra)",
 "Country is one of (Albania, Bulgaria, Greece, North Macedonia, Montenegro, Serbia)"
 ]
}

 The dataset includes 2844 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032093-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmf45v
title: Occurrence Download

description: A dataset containing 32904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.53435 51.10565,-95.32177 51.44276,-98.06135 51.18238,-98.68979 50.42958,-98.14903 48.56009,-97.00785 46.53762,-95.64732 45.58156,-93.43705 43.76273,-90.68153 41.57573,-87.76779 40.72441,-84.24778 39.94092,-80.20334 40.51212,-76.47202 41.23337,-74.79618 42.71667,-75.1959 44.46242,-74.85062 45.96167,-77.71466 45.92014,-80.57822 47.06193,-83.28551 49.14262,-86.53393 50.19538,-87.21864 50.58645,-88.53435 51.10565))",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadrius melodus"
 ]
}

 The dataset includes 32904 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032091-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.