cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29132651
title: Models and Dataset

description: <b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. Designed for high-dimensional biological data, P3DE dynamically evaluates candidate feature subsets using an ensemble of autoencoders with different activation functions (Sigmoid, Tanh, ReLU). Ensemble weights are computed based on initial, historical, and functional reconstruction performance. This parameter-free, adaptive architecture enhances exploration and avoids overfitting, making P3DE a robust tool for biomarker discovery in gene expression datasets.<br><b>TJO (Tom and Jerry Optimization):</b><br>TJO is a nature-inspired metaheuristic algorithm that models the predator-prey dynamics of the cartoon characters Tom (predator) and Jerry (prey). Operating in a binary search space, TJO simulates intelligent and evasive movements of the prey to guide the population toward optimal solutions. The algorithm does not rely on predefined control parameters like crossover or mutation rates, which makes it lightweight and easy to implement for various feature selection and optimization tasks.<br><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. Unlike conventional evolutionary algorithms, RAO does not use mechanisms such as crossover, mutation, or selection. Its simplicity and lack of algorithm-specific parameters make it computationally efficient and easy to apply in high-dimensional problems such as gene selection for cancer classification.
DOI: 10.15468/dl.ytgcdf
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus furvus J.A.Allen & Chapman, 1897",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 185 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014897-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f5a3w
title: Occurrence Download

description: A dataset containing 1385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen, Living Specimen)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophophora J.M.Coult."
 ]
}

 The dataset includes 1385 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014895-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s852zy
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Aptinus Bonelli, 1810"
 ]
}

 The dataset includes 451 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014899-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hty9rt
title: Occurrence Download

description: A dataset containing 19261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falco sparverius Linnaeus, 1758",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 19261 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014898-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ay6hs
title: Occurrence Download

description: A dataset containing 126285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Chaetodipus fallax (Merriam, 1889), Chaetodipus penicillatus (Woodhouse, 1852), Dipodomys simulans (Merriam, 1904), Neotoma bryanti Merriam, 1887, Onychomys torridus (Coues, 1874), Perognathus longimembris (Coues, 1875), Peromyscus eremicus (Baird, 1857), Tamias obscurus J.A.Allen, 1890, Thomomys bottae (Eydoux & Gervais, 1836))"
 ]
}

 The dataset includes 126285 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014896-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.qxe6osqe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.mhaa6d
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichosanthes cucumerina L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 410 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014900-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11913949
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.48610/7da7765
title: 16.4T MRI of nephrectomy sample

description: Tissue samples were obtained from whole kidney post-nephrectomy without flushing the blood, fixed in formalin for 24 h and washed with saline for 3 d at 4°C prior to scanning.

Samples were scanned at room temperature using a Bruker Biospec 16.4 T MRI at the Centre for Advanced Imaging, The University of Queensland. This scanner is equipped with a Micro2.5 gradient (1.5 T/m at 60 A). Microimaging coils appropriate to the size of the samples were used, these included a 15×30 mm surface coil, a 15 mm and a 10 mm volume coil. Samples were either placed in saline or wrapped with paraffin film to minimise air artefacts. MRI was performed using a 3D T1/T2*-weighted gradient echo (GRE) sequence with repetition time TR = 150 ms, echo time TE = 6.2 ms, flip angle 60°.

Typically, the field-of-view was ~2.4×1.2×1.2 cm with the matrix sizes set to produce images at 30 μm 3D isotropic resolutions. The acquisition times were approximately 27 h (number of excitations (NEX) = 4). A sine windowing function was applied to the K-space data prior to the Fourier transform to reduce the noise in the 30 μm images.
DOI: 10.5281/zenodo.15492677
title: Wikidata Vandalism Detection Dataset

description: Description



This dataset accompanies a research paper that introduces a new system designed to support the Wikidata community in combating vandalism on the platform. 



Keywords: Wikidata, content differences, vandalism detection, data mining, content analysis, computational social science, NLP.



Dataset Details:



Number of files: 20 (6.85 GB)

Format: CSV

License: CC BY 4.0

Use Case: data mining, vandalism detection and analysis, content moderation. The dataset is primarily intended for training and evaluating vandalism detection systems for Wikidata.

Observation period: 21 months of training, 3 months hold-out testing. Data from 01.09.2021 to 01.09.2023 (Snapshot from 2024-04)

Features: Each record characterizes the corresponding revision of the Wikidata record, including revision metadata, user details, content modifications (insert, remove, or change), and corresponding MLMs-based features. 

Data Filtering and Feature Engineering: Advanced filtering and feature engineering techniques were applied to ensure the dataset's quality and relevance for effectively training the vandalism detection system.

Files: 



2024-04_content_batch_{i}.csv - Revision content features (split into 15 batches).

2024-04_metadata.csv - Revision metadata features.

expert_scores.csv - revision labeled by expert (column label correspond to the expert label).

full_labels_2024-04_text_en.csv - Wikidata ID to English label mapping.

mlm_text_features.csv - pretrained MLM scores.

ores_scores.csv - ORES (previous model in production) scores.




Attribution

The dataset was compiled from the Wikidata dump. All structured data from the Wikidata main, Property, Lexeme, and EntitySchema namespaces is available under the Creative Commons CC0 License; text in the other namespaces is available under the Creative Commons Attribution-ShareAlike License.

Related paper citation:

TBD
DOI: 10.5281/zenodo.15492678
title: Wikidata Vandalism Detection Dataset

description: Description



This dataset accompanies a research paper that introduces a new system designed to support the Wikidata community in combating vandalism on the platform. 



Keywords: Wikidata, content differences, vandalism detection, data mining, content analysis, computational social science, NLP.



Dataset Details:



Number of files: 20 (6.85 GB)

Format: CSV

License: CC BY 4.0

Use Case: data mining, vandalism detection and analysis, content moderation. The dataset is primarily intended for training and evaluating vandalism detection systems for Wikidata.

Observation period: 21 months of training, 3 months hold-out testing. Data from 01.09.2021 to 01.09.2023 (Snapshot from 2024-04)

Features: Each record characterizes the corresponding revision of the Wikidata record, including revision metadata, user details, content modifications (insert, remove, or change), and corresponding MLMs-based features. 

Data Filtering and Feature Engineering: Advanced filtering and feature engineering techniques were applied to ensure the dataset's quality and relevance for effectively training the vandalism detection system.

Files: 



2024-04_content_batch_{i}.csv - Revision content features (split into 15 batches).

2024-04_metadata.csv - Revision metadata features.

expert_scores.csv - revision labeled by expert (column label correspond to the expert label).

full_labels_2024-04_text_en.csv - Wikidata ID to English label mapping.

mlm_text_features.csv - pretrained MLM scores.

ores_scores.csv - ORES (previous model in production) scores.




Attribution

The dataset was compiled from the Wikidata dump. All structured data from the Wikidata main, Property, Lexeme, and EntitySchema namespaces is available under the Creative Commons CC0 License; text in the other namespaces is available under the Creative Commons Attribution-ShareAlike License.

Related paper citation:

TBD
DOI: 10.15468/dl.ycr6k3
title: Occurrence Download

description: A dataset containing 170568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megachile petulans Cresson, 1878, Eumenes smithii de Saussure, 1852, Nemognatha punctulata LeConte, 1853, Amata huebneri (Boisduval), Palpada pusilla (Macquart, 1842), Panoquina panoquinoides (Skinner, 1892), Hypselonotus punctiventris Stål, 1862, Megachile umbripennis Smith, 1853, Junonia neildi Brévignon, 2004, Copestylum sexmaculatum (Palisot de Beauvois, 1819), Agama picticauda (Peters, 1877), Nomada fervida Smith, 1854, Romalea microptera (Palisot de Beauvois, 1817), Palpada furcata (Wiedemann, 1819), Hedriodiscus trivittatus (Say, 1829), Palpada albifrons (Wiedemann, 1830), Liacos erythrosoma (Burmeister, 1854), Ganyra josephina josepha (Salvin & Godman, 1868), Composia fidelissima Herrich-Schäffer, 1866, Phytomia zonata (Fabricius, 1787), Euploea mulciber barsine (Fruhstorfer, 1904), Campiglossa picciola, Cosmosoma myrodora Dyar, 1907, Scolia bicincta, Colpa octomaculata, Trichopoda lanipes (Fabricius, 1805), Dieunomia heteropoda (Say, 1824), Oarisma minima, Polistes major major, Incisalia henrici (Grote & Robinson, 1867), Lepidophora lepidocera (Wiedemann, 1828), Polites baracoa (Lucas, 1857), Heliconius charithonia (Linnaeus, 1767), Plecia nearctica Hardy, 1940, Peucetia viridans (Hentz, 1832), Halictus poeyi Lepeletier, 1841, Coelioxys dolichos Fox, 1890, Lerodea eufala (Edwards, 1869), Syngamia florella Cramer, 1781, Polites vibex (Geyer, 1832), Eumaeus atala (Poey, 1832), Danaus gilippus berenice (Cramer, 1779), Heliconius charithonia tuckeri Comstock & Brown, 1950, Syntomeida epilais Walker, 1854, Phoebis agarithe (Boisduval, 1836), Zeta argillaceum (Linnaeus, 1758), Dysdercus suturellus (Herrich-Schaeffer, 1842), Trigonopeltastes delta (Forster, 1771), Ceratina floridana, Heriades leavitti Crawford, 1913)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 170568 records from 322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014901-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5969h8
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus gossypinus (Le Conte, 1853)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 127 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014902-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e230882
title: Complaints - National Highway Traffic Safety Administration

description: Complaint information entered into NHTSA’s Office of Defects Investigation vehicle owner's complaint database is used with other data sources to identify safety issues that warrant investigation and to determine if a safety-related defect trend exists. Complaint information is also analyzed to monitor existing recalls for proper scope and adequacy.<br>Source: https://www.nhtsa.gov/nhtsa-datasets-and-apis#complaints<br>Notes: Complaints data was created from 1995-present, covering vehicles from 1949-present. <br><br>
DOI: 10.3886/e230882v1
title: Complaints - National Highway Traffic Safety Administration

description: Complaint information entered into NHTSA’s Office of Defects Investigation vehicle owner's complaint database is used with other data sources to identify safety issues that warrant investigation and to determine if a safety-related defect trend exists. Complaint information is also analyzed to monitor existing recalls for proper scope and adequacy.<br>Source: https://www.nhtsa.gov/nhtsa-datasets-and-apis#complaints<br>Notes: Complaints data was created from 1995-present, covering vehicles from 1949-present. <br><br>
DOI: 10.15468/dl.wtdxrs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus grandis Goodwin, 1932",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014907-250515123054153/datasets/export for details.
DOI: 10.15468/dl.u2f7bh
title: Occurrence Download

description: A dataset containing 19261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falco sparverius Linnaeus, 1758",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 19261 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014903-250515123054153/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.29090081
title: Shipping noise tolerance in invertebrates: A case study of the shore crab <i>Hemigrapsus oregonensis</i>

description: <br><br>Data supporting Birch et al. "Shipping noise tolerance in invertebrates: A case study of the shore crab <i>Hemigrapsus oregonensis</i>"
DOI: 10.3535/g0q-3pc-zqj
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pgh-9n7-swy
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17863/cam.80096
title: Data supporting "3D-printed hierarchical pillar array electrodes for high performance semi-artificial photosynthesis"

description: Essential data from our publication in Nature Materials (2022) entitled 3D printed hierarchical pillar array electrodes for high performance semi-artificial photosynthesis. by Xiaolong Chen, Joshua M. Lawrence, Laura Wey, Lukas Schertel, Qingshen Jing, Silvia Vignolini, Chritopher Howe, Sohini Kar-Narayan, Jenny Z. Zhang. Repository contains open access data for publication. Files are in pictures or xls format. These data are electrode (inverse opal indium tin oxide, smooth micropillar indium tin oxide and branched micropillar indium tin oxide) characterizations and photo(electro)chemical output measurements, which IO-ITO electrodes were fabricated using templated synthesis method (Methods/Electrode fabrication/IO-ITO electrodes) and SP-ITO, BP-ITO were fabricated by a 3D printing methodology (Methods/Electrode fabrication/SP-ITO, BP-ITO electrodes). The photo(electro)chemical output measurements were conducted under light/dark cycles at moderate light conditions (red LED light source at λ = 680 nm, THORLABS, white LED light source THORLABS, SM2F32-A) and applied potentials of 0.3 V vs.SHE used in the absence of an exogenous electron mediator, and 0.5 V vs. SHE used in the presence of DCBQ (1 mM) (Methods/Photoelectrochemistry). The data of Figure 1a, 1e, 1f, 2b insert, 2d, 2e, 3h, S1, S2, S7, S11, S12, S13 are scanning electron microscope images for exploring electrodes morphology. The data for Figure 3c and Figure 3d are light transmittance and reflectance studies of bare electrode in air (Figure 3c) and electrodes incubated with cells using 0° vertical incident white light (1 mW cm–2) (Figure 3d) to understand photonic properties of the electrode. The data for Figure 3e are electrochemical active surface area (EASA) measurements of electrodes (IO-ITO, SP-ITO and BP-ITO) using electrochemical capacitance method. The data for Figure 3f are EASA-normalised Chl a on electrodes (IO-ITO, SP-ITO and BP-ITO) using UV-visible spectrophotometry measurements. The data for Figure 4a, 4b, 4c, 4d are the characterisation results of representative photocurrent profile (Figure 4a), IO-ITO, SP-ITO, BP-ITO electrodes mediated and non-mediated photocurrent performance (Figure 4b), SP-ITO, BP-ITO electrodes non-mediated photocurrent performance (Figure 4c), BP-ITO electrodes mediated photocurrent performance (Figure 4d) to investigate bio-photocurrent output. The data for Figure 5b are statistical analysis results using spearman’s correlation matrix to build up electrode-activity relationship.
DOI: 10.15468/6dkfkt
title: Field Report of Bortir Beel Aquatic Biodiversity Park Survey, North 24 Parganas, West Bengal

description: The observation of faunal diversity in Bartir Beel, North 24 Parganas, West Bengal, was conducted by the Block Development Officer (BDO) of Amdanga Block in September 2025. Bartir Beel is a seasonal wetland of significant ecological and socio-economic importance. During the monsoon, it expands into a large waterbody that supports a rich assemblage of native fishes, snails, crabs, and other aquatic fauna. In the dry season, the water level recedes, revealing mudflats and emergent vegetation that sustain diverse terrestrial and semi-aquatic species. The wetland also serves as a crucial habitat for both resident and migratory birds, particularly during the winter months. Aquatic plants such as water lilies and water hyacinth contribute to the ecological balance by offering food and shelter to aquatic organisms and avifauna. Beyond its biodiversity value, Bartir Beel sustains the livelihoods of local fishing communities and acts as a natural carbon sink, helping to regulate the regional microclimate. This makes it an ecologically vital component of the North 24 Parganas landscape.
DOI: 10.15468/dl.faramj
title: Occurrence Download

description: A dataset containing 3976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Alnus Mill."
 ]
}

 The dataset includes 3976 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007184-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14718652
title: Data for: "Do Olive Ridley turtles select mates based on size? An Investigation of mate size preference at major arribada rookery"

description: Data for CCL of Olive Ridley Turtles during 2021 and 2022 breeding seasons at Rushikulya rookery in Odisha, India
DOI: 10.5281/zenodo.14718653
title: Data for: "Do Olive Ridley turtles select mates based on size? An Investigation of mate size preference at major arribada rookery"

description: Data for CCL of Olive Ridley Turtles during 2021 and 2022 breeding seasons at Rushikulya rookery in Odisha, India
DOI: 10.15468/dl.38mqb6
title: Occurrence Download

description: A dataset containing 67343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax chrysops (Vieillot, 1818)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 67343 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007190-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.334j4c
title: Occurrence Download

description: A dataset containing 47284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesembryanthemum L."
 ]
}

 The dataset includes 47284 records from 463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007204-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dd1-vqp-a7b
title: Lugdunum hantkenianum (Brady, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l1n-yrp-s5v
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2dp-ltz-amr
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4p3-01x-g4n
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/55x-1y8-nqt
title: Scleractinia Bourne, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ya0-fy6-b0w
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sh0-yl3-k0r
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0wq-qj1-6h4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zze-brb-6ll
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h29-dkh-tcz
title: †Discocyclina archiaci subsp. bartholomei (Schlumberger, 1903)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/shg-wkr-hr2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.