cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/4nb-gpa-r49
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k71-edm-6jq
title: Semicytherura rara (Müller, 1894)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/chb-r0k-qfg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w9f-3r8-v5j
title: Lobatula lobatula (Walker & Jacob, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f17-asw-cmd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jgd-xgx-g8k
title: Heterocythereis albomaculata (Baird, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/11s-9vp-a72
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/972-268-abl
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w74-z7v-da7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/918-l9y-p24
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/600-f6w-rcf
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fw8-04v-ytr
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mp5-8tb-exl
title: Sus scrofa Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qnh-z2z-948
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k9j-qy5-sc1
title: †Rhacophyllites debilis (Hauer, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yhv-jka-0ye
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f8a-b23-8g5
title: Clupea

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7va-ehg-hts
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vdn-arf-v4y
title: †Rhabdocidaris Desor, 1855

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c8c-mgm-dzc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p9e-3kv-f7f
title: Venerupis Lamarck, 1818

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4vg-nan-dvy
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/whn-y1p-fxb
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/31t-bhs-gtz
title: Flabellum Lesson, 1831

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4pb-e55-we6
title: Dama dama mesopotamica (Brooke, 1875)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m9s-zzh-crz
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.5tdhne
title: Occurrence Download

description: A dataset containing 4566812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 4566812 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020995-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9f5-r2k-gm8
title: Arvicolinae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z7b-tmk-b3e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zfm-yzp-z6l
title: Rodentia Bowdich, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.3ckte6
title: Occurrence Download

description: A dataset containing 88894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cuculiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((20 60,30 60,30 70,20 70,20 60))"
 ]
}

 The dataset includes 88894 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022775-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gn56za
title: Occurrence Download

description: A dataset containing 6670 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Twenty-five-year mapping of species of the superfamily Cercopoidea (Hemiptera: Auchenorrhyncha) in Bulgaria"
 ]
}

 The dataset includes 6670 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022832-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6sgwq
title: Occurrence Download

description: A dataset containing 23031101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year 2023-2025"
 ]
}

 The dataset includes 23031101 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022776-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17356732
title: Lake Ebinur Time Series Data
DOI: 10.15468/dl.7zfr8a
title: Occurrence Download

description: A dataset containing 4174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azolla caroliniana"
 ]
}

 The dataset includes 4174 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022835-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.001394
title: Dataset supporting research on inter-organisational technology transfer and sustainability performance

description: This dataset contains survey data collected as part of a research project on inter-organisational technology transfer and sustainability performance. A total of 459 valid responses were gathered from firms across multiple countries, with data provided in both German and English.

The dataset records respondent and organisational characteristics, including language, job position, industry, work experience, headquarters location, firm type, firm size, corporate affiliation, geographical sales market, and state support. It also captures information on technology transfer partners and types, along with responses to measurement items used in the research model.

Data were collected using a structured online questionnaire designed to measure factors relevant to technology transfer and sustainability outcomes. The survey instrument included both categorical and scaled items. Responses were anonymised prior to archiving.
DOI: 10.5281/zenodo.17356731
title: Lake Ebinur Time Series Data
DOI: 10.5281/zenodo.17349629
title: Armitage et al., 2025

description: This dataset accompanies the manuscript “Biogeographical diversity meets functional similarity: Trait convergence in benthic fauna from the Arctic ice-covered North to ice-free South” (under review). It provides the biological, environmental, and trait data used to analyse benthic infaunal communities along the West Greenland shelf.

Study overview

Macrobenthic invertebrates were collected from nine stations between 64° N (Nuuk) and 71° N (Disko Bay) on board R/V Dana during the ECOTIP project (Horizon 2020). Samples were taken using a standard 0.1 m² box corer, sieved (1 mm mesh), and preserved in ethanol for taxonomic identification. Species densities were standardised to individuals m⁻². Environmental data include station position, depth, sediment characteristics (grain size fractions, organic and carbonate content, C / N ratios), and bottom-water properties (temperature, salinity, oxygen, density, and current speed). Sea-ice concentration and current velocity were derived from Copernicus Marine Service datasets, and CTD variables were processed in Ocean Data View.

Biogeographic and trait data

Species were assigned to Arctic, Boreal, or Cosmopolitan biogeographic groups using a combination of occurrence records (GBIF, OBIS, WoRMS) and trait information (Arctic Traits Database). A fuzzy-coded trait matrix was compiled for eight categorical traits related to resource and dispersal strategies.

Files included





WG_mf_classification.csv – WoRMS-based taxonomic classification for all taxa.




DANA_Env_Station.csv – Station-averaged environmental dataset (physical, chemical, and sediment variables).




WG_mf_count_station.csv – Mean species abundance matrix per station.




WG_mf_count.csv – Species abundance matrix including replicate samples.




WG_traits.csv – Trait scores (fuzzy-coded) for all taxa used in analyses.




WG_sti_trends.csv – Intermediate dataset created during species biogeographic affiliation procedures.




DANA_Env.csv – Environmental dataset including replicate samples.




Sp.Arctic.csv, Sp.Boreal.csv, Sp.Cosmopolitan.csv – Subsets of the total community abundance matrix by biogeographic group.



Usage

All data are provided in CSV format and are compatible with R (v. 4.3 or later). The dataset supports analyses of biogeographic composition, β-diversity, and functional trait structure of benthic infauna across Arctic–sub-Arctic gradients.
DOI: 10.5281/zenodo.17349628
title: Armitage et al., 2025

description: This dataset accompanies the manuscript “Biogeographical diversity meets functional similarity: Trait convergence in benthic fauna from the Arctic ice-covered North to ice-free South” (under review). It provides the biological, environmental, and trait data used to analyse benthic infaunal communities along the West Greenland shelf.

Study overview

Macrobenthic invertebrates were collected from nine stations between 64° N (Nuuk) and 71° N (Disko Bay) on board R/V Dana during the ECOTIP project (Horizon 2020). Samples were taken using a standard 0.1 m² box corer, sieved (1 mm mesh), and preserved in ethanol for taxonomic identification. Species densities were standardised to individuals m⁻². Environmental data include station position, depth, sediment characteristics (grain size fractions, organic and carbonate content, C / N ratios), and bottom-water properties (temperature, salinity, oxygen, density, and current speed). Sea-ice concentration and current velocity were derived from Copernicus Marine Service datasets, and CTD variables were processed in Ocean Data View.

Biogeographic and trait data

Species were assigned to Arctic, Boreal, or Cosmopolitan biogeographic groups using a combination of occurrence records (GBIF, OBIS, WoRMS) and trait information (Arctic Traits Database). A fuzzy-coded trait matrix was compiled for eight categorical traits related to resource and dispersal strategies.

Files included





WG_mf_classification.csv – WoRMS-based taxonomic classification for all taxa.




DANA_Env_Station.csv – Station-averaged environmental dataset (physical, chemical, and sediment variables).




WG_mf_count_station.csv – Mean species abundance matrix per station.




WG_mf_count.csv – Species abundance matrix including replicate samples.




WG_traits.csv – Trait scores (fuzzy-coded) for all taxa used in analyses.




WG_sti_trends.csv – Intermediate dataset created during species biogeographic affiliation procedures.




DANA_Env.csv – Environmental dataset including replicate samples.




Sp.Arctic.csv, Sp.Boreal.csv, Sp.Cosmopolitan.csv – Subsets of the total community abundance matrix by biogeographic group.



Usage

All data are provided in CSV format and are compatible with R (v. 4.3 or later). The dataset supports analyses of biogeographic composition, β-diversity, and functional trait structure of benthic infauna across Arctic–sub-Arctic gradients.
DOI: 10.15468/dl.muqgvr
title: Occurrence Download

description: A dataset containing 25053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pilularia globulifera"
 ]
}

 The dataset includes 25053 records from 480 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022836-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17251832
title: Descriptive characteristics of source data

description: Descriptive characteristics of source data for the analysis of road user behaviour on the shared-use paths. More details are available in the journal paper:

Ambros, J., Kvašňovská, E., Mikolajek, Z., Janoška, Z., Vyskočilová, L., Striegler, R. (2025). Dopad mikromobility na bezpečnost chodců a cyklistů: Studie chování na sdílených stezkách. Silniční obzor, Vol. 86, No. 7-8, pp. 40-46.
DOI: 10.5281/zenodo.17251833
title: Descriptive characteristics of source data

description: Descriptive characteristics of source data for the analysis of road user behaviour on the shared-use paths. More details are available in the journal paper:

Ambros, J., Kvašňovská, E., Mikolajek, Z., Janoška, Z., Vyskočilová, L., Striegler, R. (2025). Dopad mikromobility na bezpečnost chodců a cyklistů: Studie chování na sdílených stezkách. Silniční obzor, Vol. 86, No. 7-8, pp. 40-46.
DOI: 10.5281/zenodo.17355920
title: Motivating paternal empathy and egalitarian attitudes to prevent maternal postpartum depressive symptoms
DOI: 10.5281/zenodo.17355921
title: Motivating paternal empathy and egalitarian attitudes to prevent maternal postpartum depressive symptoms
DOI: 10.15468/dl.w2jdx9
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saxifraga sibthorpii",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022839-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15704420
title: LPR-MNIST: a synthetic vehicle license plates dataset for the study of syntax shift in Transformers

description: LPR-MNIST

We introduce LPR-MNIST, a synthetic dataset replicating the key aspects of syntax evolution on vehicle license plates, as explored in the paper Relaxed syntax modeling in Transformers for future-proof license plate recognition. LPR-MNIST is a collection of 100,000 synthetic image-text pairs, generated by concatenating 5 black-and-white digits from MNIST, each padded to 32x32. 32 pixels of zero-padding are then randomly shared between the left and right sides of the assembled image to mimic the natural variability in the absolute position of characters on real plates. Thus, resulting images have a shape of 32x192. Labels are drawn from `00000` to `99999` such that each possible combination is represented once. For each digit in a given label, the MNIST image is then randomly picked among all instances of this digit. 

Download 

Dataset available at www-shadoc.irisa.fr/lpr-mnist-dataset/. 

Protocols

The provided training, validation and test splits follow the 80/10/10% scheme. They purposely do not simulate any syntax shift so that the user can recreate any experiment from the paper and beyond. Creating a syntax tipping point is simply achieved by removing all samples with an arbitrary character in an arbitrary position during training. For instance, the main results in the paper are obtained by removing digit `9` in the leftmost position in training and validation splits. Meanwhile, the test split should be divided into source and target syntax where the chosen digit is absent and present in the chosen position, respectively. The target syntax part of the test split is therefore the most challenging for the model as it contains unseen syntax. 

Citing the dataset

The dataset is introduced in the following publication. Use the following bibtex for citing the dataset:

```@inproceedings{meyerRelaxedSyntaxModeling2026,  title = {Relaxed {{Syntax Modeling}} in~{{Transformers}} for~{{Future-Proof License Plate Recognition}}},  booktitle = {Document {{Analysis}} and {{Recognition}} -- {{ICDAR}} 2025}, author = {Meyer, Florent and Guichard, Laurent and Coquenet, Denis and Gravier, Guillaume and Soullard, Yann and Co{\"u}asnon, Bertrand}, editor = {Yin, Xu-Cheng and Karatzas, Dimosthenis and Lopresti, Daniel}, year = {2026}, pages = {154--171}, publisher = {Springer Nature Switzerland}, address = {Cham}, doi = {10.1007/978-3-032-04627-7_9}, isbn = {978-3-032-04627-7}, langid = {english} }```

License

This work, "LPR-MNIST", is adapted from "MNIST" by Yann LeCun and Corinna Cortes, used under CC BY-SA 3.0. "MNIST" itself is a derivative work from original "NIST" datasets. "LPR-MNIST" is licensed under CC BY-SA 4.0 by Florent Meyer.
DOI: 10.15468/dl.xjhzan
title: Occurrence Download

description: A dataset containing 4371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemia tomentosa"
 ]
}

 The dataset includes 4371 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022838-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15704421
title: LPR-MNIST: a synthetic vehicle license plates dataset for the study of syntax shift in Transformers

description: LPR-MNIST

We introduce LPR-MNIST, a synthetic dataset replicating the key aspects of syntax evolution on vehicle license plates, as explored in the paper Relaxed syntax modeling in Transformers for future-proof license plate recognition. LPR-MNIST is a collection of 100,000 synthetic image-text pairs, generated by concatenating 5 black-and-white digits from MNIST, each padded to 32x32. 32 pixels of zero-padding are then randomly shared between the left and right sides of the assembled image to mimic the natural variability in the absolute position of characters on real plates. Thus, resulting images have a shape of 32x192. Labels are drawn from `00000` to `99999` such that each possible combination is represented once. For each digit in a given label, the MNIST image is then randomly picked among all instances of this digit. 

Download 

Dataset available at www-shadoc.irisa.fr/lpr-mnist-dataset/. 

Protocols

The provided training, validation and test splits follow the 80/10/10% scheme. They purposely do not simulate any syntax shift so that the user can recreate any experiment from the paper and beyond. Creating a syntax tipping point is simply achieved by removing all samples with an arbitrary character in an arbitrary position during training. For instance, the main results in the paper are obtained by removing digit `9` in the leftmost position in training and validation splits. Meanwhile, the test split should be divided into source and target syntax where the chosen digit is absent and present in the chosen position, respectively. The target syntax part of the test split is therefore the most challenging for the model as it contains unseen syntax. 

Citing the dataset

The dataset is introduced in the following publication. Use the following bibtex for citing the dataset:

```@inproceedings{meyerRelaxedSyntaxModeling2026,  title = {Relaxed {{Syntax Modeling}} in~{{Transformers}} for~{{Future-Proof License Plate Recognition}}},  booktitle = {Document {{Analysis}} and {{Recognition}} -- {{ICDAR}} 2025}, author = {Meyer, Florent and Guichard, Laurent and Coquenet, Denis and Gravier, Guillaume and Soullard, Yann and Co{\"u}asnon, Bertrand}, editor = {Yin, Xu-Cheng and Karatzas, Dimosthenis and Lopresti, Daniel}, year = {2026}, pages = {154--171}, publisher = {Springer Nature Switzerland}, address = {Cham}, doi = {10.1007/978-3-032-04627-7_9}, isbn = {978-3-032-04627-7}, langid = {english} }```

License

This work, "LPR-MNIST", is adapted from "MNIST" by Yann LeCun and Corinna Cortes, used under CC BY-SA 3.0. "MNIST" itself is a derivative work from original "NIST" datasets. "LPR-MNIST" is licensed under CC BY-SA 4.0 by Florent Meyer.
DOI: 10.15468/dl.skvnzm
title: Occurrence Download

description: A dataset containing 36340975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 36340975 records from 13281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022662-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9smdpb
title: Occurrence Download

description: A dataset containing 36817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36817 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004183-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eaqaf6
title: Occurrence Download

description: A dataset containing 32 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 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031054-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oyulss
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/0094037-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.