cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ht5p5pg7b7.2
title: Cat personality and predation survey

description: Dataset for the article "Pet cat personality linked to owner-reported predation frequency " https://doi.org/10.1002/ece3.9651
It contains survey data of French cats owners. We surveyed a large sample of cat owners living in France and estimated the personality traits of their cats using the Feline Five personality model of Litchfield et al. (2017) as well as the frequency of birds and mammals returned home by the cats as reported by their owners. To control for potential confounding factors, we also included questions about variables previously shown to influence pet cat predation: type of environment around the home, time spent outdoors, individual characteristics, and breed.

Variable Values Meaning
Sexe M/F male/female
Age Moinsde1/1a2/2a10/Plusde10 Less than 1 year/ 1-2 years/ 2-10 years/ More than 10 years/
Race BEN/SBI/BRI/CHA/EUR/MCO/PER/RAG/SPH/ORI/TUV/ Autre/NSP Bengal/ Birman/ British Shorthair/ Chartreux / European/ Maine coon / Persian/ Ragdoll/ Savannah / Sphynx/ Siamese/ Turkish angora / No breed / Other / Unknown
Nombre Number of cats in the household
Logement ASB/AAB/ML/MI Apartment without balcony / Apartment with balcony or terrace/ House in a subdivision / Individual house
Zone U/PU/R Would you say that you live in an area that is :Urban/Periurban/rural
Ext 1/2/3/4/5 How much time does your cat spend each day outdoors? None / Limited (less than one hour)/ Moderate (1 to 5 hours)/ Long (more than 5 hours)/ All the time (come back just to eat)
Obs 1/2/3/4 How much time do you spend each day with you cat (observation, game, petting, care, ...)? None / Limited (less than one hour)/ Moderate (1 to 5 hours)/ Long (more than 5 hours)
Personality adjective : see article
Abondance 1/2/3/NSP Around your place of residence, would you say that abundance of natural areas (tree, bushes, grass ...) is Low / Moderate/ High/ I don’t know 
PredOiseau 1/2/3/4/5 At what frequency does your cat capture birds? Never/ Rarely (1 to 5 times a year)/ Sometimes (5 to 10 times a year)/ Often (1 to 3 times a month)/ Very often (once a week or more) 
PredMamm 1/2/3/4/5 At what frequency does your cat capture small mammals (mice, field mice, shrew)? Never/ Rarely (1 to 5 times a year)/ Sometimes (5 to 10 times a year)/ Often (1 to 3 times a month)/ Very often (once a week or more)
DOI: 10.13018/bmr7360
title: 1H, 15N and 13C chemical shift assignments for reduced and oxidised forms of the DsbA oxidoreductase from Vibrio cholerae
DOI: 10.13018/bmr7361
title: SOLUTION STRUCTURE OF A LINEAR ANALOG OF THE SQUASH TRYPSIN INHIBITOR MCOTI-II,NMR, 30 STRUCTURES.
DOI: 10.13018/bmr7362
title: NMR Structure of Protein UPF0165 protein AF_2212 from Archaeoglobus Fulgidus; Northeast Structural Genomics Consortium Target GR83
DOI: 10.13018/bmr7364
title: Solution Structure of Variable-type Domain of Human Receptor for Advanced Glycation Endproducts
DOI: 10.13018/bmr7365
title: Solution structure of Fe65 WW domain
DOI: 10.13018/bmr7366
title: Solution Structure of Putative periplasmic protein: Northest Structural Genomics Target StR106
DOI: 10.13018/bmr7367
title: Solution structure of a Beta-Hairpin Peptidomimetic Inhibitor of the BIV Tat-Tar Interaction
DOI: 10.13018/bmr7370
title: Backbone 1H and 15N chemical shift assignments of D. crassirhizoma Plastocyanin
DOI: 10.13018/bmr7371
title: Solution NMR Structure: Northeast Structural Genomics Consortium Target SiR5
DOI: 10.13018/bmr7375
title: Backbone chemical shifts assignment of the soluble N-terminal region of the ATP7A
DOI: 10.13018/bmr7376
title: Resonance assignments of the metal sensor CzrA in the apo-, Zn2- and DNA-bound (42 kDa) states
DOI: 10.17632/4fr33dkrjt
title: Dataset for Collaborative Robotics

description: This dataset consists of sensor data collected while people and collaborative robots accomplish a task together. The experiment was conducted at the Sheffield Robotics Lab, located on the University of Sheffield's campus.
DOI: 10.13018/bmr7377
title: Resonance assignments of the metal sensor CzrA in the apo-, Zn2- and DNA-bound (42 kDa) states
DOI: 10.17632/4fr33dkrjt.3
title: Dataset for Collaborative Robotics

description: This dataset consists of sensor data collected while people and collaborative robots accomplish a task together. The experiment was conducted at the Sheffield Robotics Lab, located on the University of Sheffield's campus.
DOI: 10.13018/bmr7381
title: Calcium binding protein in the free form
DOI: 10.13018/bmr7382
title: NMR Structure of RRM-2 of Yeast NPL3 Protein
DOI: 10.13018/bmr7383
title: NMR Structure of RRM-1 of Yeast NPL3 Protein
DOI: 10.13018/bmr7384
title: Solution Structure of Human Immunodificiency Virus Type-2 Nucleocapsid Protein
DOI: 10.13018/bmr7386
title: Engrailed homeodomain helix-turn-helix motif
DOI: 10.15468/dl.3qwp98
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Alisma plantago-aquatica, Alisma orientale)",
 "Year 1969-2026"
 ]
}

 The dataset includes 282 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003008-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dqz7s
title: Occurrence Download

description: A dataset containing 10885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spizaetus tyrannus",
 "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 10885 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003010-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr7387
title: PIPdim 18
DOI: 10.13018/bmr7388
title: sPLA2 inhibitor pip 17
DOI: 10.13018/bmr7389
title: sPLA2 inhibitor 9
DOI: 10.13018/bmr7390
title: Solution model of crosslinked complex of cytochrome c and adrenodoxin
DOI: 10.13018/bmr7391
title: Electrostatic contributions to the stability of the GCN4 leucine zipper structure.
DOI: 10.13018/bmr7392
title: NMR Structure of the IQ-modified Dodecamer CTC[IQ]GGCGCCATC
DOI: 10.13018/bmr7395
title: Solution Structure of RWD/GI domain of Saccharomyces cerevisiae GCN2
DOI: 10.13018/bmr7396
title: Solution Structure of ETO-TAFH refined in explicit solvent
DOI: 10.13018/bmr7397
title: Purification and structural characterization of a D-amino acid containing conopeptide, marmophine, from Conus marmoreus
DOI: 10.13018/bmr7399
title: Solution structure of rhodostomin D51E mutant
DOI: 10.13018/bmr7400
title: Solution structure of rhodostomin P48A mutant
DOI: 10.15468/dl.bce9nt
title: Occurrence Download

description: A dataset containing 17409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anredera cordifolia"
 ]
}

 The dataset includes 17409 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003009-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr7401
title: Full-sequence computational design and solution structure of a thermostable protein variant
DOI: 10.13018/bmr7402
title: Spatial Structure and Membrane Permeabilization for Latarcin-1, a Spider Antimicrobial Peptide
DOI: 10.13018/bmr7403
title: Solution structure of the CR7 terminal hairpin loop from human telomerase RNA
DOI: 10.13018/bmr7404
title: Solution structure of the U64 H/ACA snoRNA 3' terminal hairpin loop
DOI: 10.13018/bmr7405
title: Solution structure of the U85 C/D-H/ACA scaRNA 5' terminal hairpin loop
DOI: 10.15468/dl.h7awsz
title: Occurrence Download

description: A dataset containing 8 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 Iniistius aneitensis"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003011-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr7406
title: NMR resonance assignment of the Ccc2ab protein
DOI: 10.13018/bmr7407
title: Backbone 1H, 13C, and 15N Chemical Shift Assignments for MxiD in complex with MxiM
DOI: 10.13018/bmr7408
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.5281/zenodo.18781180
title: MMTD: Madrid Fixed-Sensor Traffic Data (Processed Sample for Reproducible Research)

description: This dataset contains processed fixed-sensor traffic data from Madrid, Spain (August 2024), as part of the Metropolitan Multi-source Traffic Data (MMTD) project. It includes 15-min aggregated traffic states (flow, occupancy, speed/congestion index) from 2,476 loop detectors (2,371 urban + 105 highway), aligned to a unified OSM-based road network with 25,166 segments.

Datasource Attribution:

Original data source: Ayuntamiento de Madrid (datos.madrid.es) - Traffic historical data since 2013

Original data license: The underlying raw data is provided by the Madrid City Council under the terms of the Madrid Open Data initiative. Reuse requires proper attribution to the source and author, in accordance with Real Decreto Legislativo 1/1996. For full terms, please visit: https://datos.madrid.es/dataset/208627-0-transporte-ptomedida-historico.

Key features:





Spatio-temporally aligned with the MMTD pipeline




Includes road static attributes (length, lanes, speed limit, centrality)




Graph topology (adjacency matrix) for deep learning applications




Cleaned (outlier removal) but no imputation – suitable for evaluating reconstruction methods



This is a SAMPLE dataset containing only the fixed-sensor component. To obtain the full MMTD (including TomTom floating car data):





Acquire TomTom Traffic Stats data for Madrid (August 2024) under TomTom's terms




Use the binding scripts in the accompanying GitHub repository to align and merge with this fixed-sensor data



Companion code: All processing scripts, pipeline documentation, and PyG-style data loaders are available on GitHub: https://github.com/qishenzhou/MMTD.
DOI: 10.5281/zenodo.18781181
title: MMTD: Madrid Fixed-Sensor Traffic Data (Processed Sample for Reproducible Research)

description: This dataset contains processed fixed-sensor traffic data from Madrid, Spain (August 2024), as part of the Metropolitan Multi-source Traffic Data (MMTD) project. It includes 15-min aggregated traffic states (flow, occupancy, speed/congestion index) from 2,476 loop detectors (2,371 urban + 105 highway), aligned to a unified OSM-based road network with 25,166 segments.

Datasource Attribution:

Original data source: Ayuntamiento de Madrid (datos.madrid.es) - Traffic historical data since 2013

Original data license: The underlying raw data is provided by the Madrid City Council under the terms of the Madrid Open Data initiative. Reuse requires proper attribution to the source and author, in accordance with Real Decreto Legislativo 1/1996. For full terms, please visit: https://datos.madrid.es/dataset/208627-0-transporte-ptomedida-historico.

Key features:





Spatio-temporally aligned with the MMTD pipeline




Includes road static attributes (length, lanes, speed limit, centrality)




Graph topology (adjacency matrix) for deep learning applications




Cleaned (outlier removal) but no imputation – suitable for evaluating reconstruction methods



This is a SAMPLE dataset containing only the fixed-sensor component. To obtain the full MMTD (including TomTom floating car data):





Acquire TomTom Traffic Stats data for Madrid (August 2024) under TomTom's terms




Use the binding scripts in the accompanying GitHub repository to align and merge with this fixed-sensor data



Companion code: All processing scripts, pipeline documentation, and PyG-style data loaders are available on GitHub: https://github.com/qishenzhou/MMTD.
DOI: 10.13018/bmr7409
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.13018/bmr7410
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.17632/5dhs9fj88d
title: Experimental Cavitation Monitoring Data using Protein Cavitation Nuclei and Focused Ultrasound

description: Calibrated array element signals (in units of Pa) received using an L7-4 linear array (ATL Ultrasound, Bothell, WA, USA), where cavitation was initiated in acoustically transparent sample containers using protein cavitation nuclei (pCaN) conducted on the 15th January 2026. 

This dataset contains four .mat files, one for each sample of PCaN and one PBS control that was also exposed to the same ultrasound parameters. They contain the following variables:
 fs: data sampling frequency [31.25 MHz]
 t: Time axis of each pulse [s]
 rf: array element signals (number of array elements, number of samples, number of pulses) [Pa]
 c: speed of sound [1488.4 m/s]
 pulseLength: time span of ultrasound pulse [10 ms]
 recordLength: length of time for each rf recording [100 us]
 elPos: positions of the centre of each array element [lateral, elevational, axial], [mm]

B mode images confirming sample container alignment are also included.
DOI: 10.13018/bmr7411
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.17632/5dhs9fj88d.1
title: Experimental Cavitation Monitoring Data using Protein Cavitation Nuclei and Focused Ultrasound

description: Calibrated array element signals (in units of Pa) received using an L7-4 linear array (ATL Ultrasound, Bothell, WA, USA), where cavitation was initiated in acoustically transparent sample containers using protein cavitation nuclei (pCaN) conducted on the 15th January 2026. 

This dataset contains four .mat files, one for each sample of PCaN and one PBS control that was also exposed to the same ultrasound parameters. They contain the following variables:
 fs: data sampling frequency [31.25 MHz]
 t: Time axis of each pulse [s]
 rf: array element signals (number of array elements, number of samples, number of pulses) [Pa]
 c: speed of sound [1488.4 m/s]
 pulseLength: time span of ultrasound pulse [10 ms]
 recordLength: length of time for each rf recording [100 us]
 elPos: positions of the centre of each array element [lateral, elevational, axial], [mm]

B mode images confirming sample container alignment are also included.
DOI: 10.13018/bmr7412
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.13018/bmr7413
title: Mapping intramolecular interactions between domains in HMGB1 using a tail-truncation approach
DOI: 10.13018/bmr7414
title: Evidence of reciprocical reorientation of the catalytic and hemopexin-like domains of full-length MMP-12
DOI: 10.13018/bmr7415
title: Evidence of reciprocical reorientation of the catalytic and hemopexin-like domains of full-length MMP-12
DOI: 10.13018/bmr7416
title: Solution structure of CaM complexed to DRP1p
DOI: 10.13018/bmr7417
title: Solution structure of CaM complexed to DRP1p
DOI: 10.13018/bmr7418
title: Solution structure of CaM complexed to DRP1p
DOI: 10.13018/bmr7419
title: SOLUTION STRUCTURE OF AMINO TERMINAL DOMAIN OF HUMAN DNA POLYMERASE EPSILON SUBUNIT B REVEALS ITS HOMOLOGY TO C-DOMAINS OF AAA PROTEINS.
DOI: 10.13018/bmr7420
title: STRUCTURE OF CCP MODULE 7 OF COMPLEMENT FACTOR H- THE AMD AT RISK VARIENT (402H)
DOI: 10.13018/bmr7421
title: STRUCTURE OF CCP MODULE 7 OF COMPLEMENT FACTOR H- THE AMD NOT AT RISK VARIENT (402Y)
DOI: 10.17632/89c9r5m2gx
title: High-Resolution Dataset of Common Bean Leaf Diseases in Bangladesh

description: This dataset consists of 3,180 high-resolution images of Phaseolus vulgaris (common bean) leaves, collected from the Rangpur Division in Bangladesh. The dataset is divided into five classes: Angular Leaf Spot (ALS), Anthracnose (ANT), Mosaic Virus (MV), Rust, and Healthy Leaves. The images were captured under natural daylight conditions using mobile phones, ensuring real-world applicability for field-based disease detection.

The dataset includes the following class distribution:

Angular Leaf Spot (ALS): 635 images

Anthracnose (ANT): 671 images

Mosaic Virus (MV): 629 images

Rust: 625 images

Healthy Leaves: 620 images

The dataset is well-balanced, which prevents bias during training, making it ideal for machine learning applications. The high-resolution images (average 4020 × 3093 pixels) offer detailed views of the leaf surface, essential for fine-grained feature extraction. The images were captured with an A4 background to minimize environmental disturbances and ensure consistent quality across the dataset.

Accompanying the images is comprehensive metadata, which includes details on image resolution, file size, sharpness, noise, brightness, RGB values, and texture features like contrast and homogeneity. This metadata is useful for further analysis of disease-specific visual patterns and enables researchers to investigate disease classification under standardized conditions.

This dataset is particularly suited for training and validating deep learning models such as Convolutional Neural Networks (CNNs), Vision Transformers, and YOLO-based architectures for disease classification and severity detection. It provides a valuable resource for AI-based plant pathology research, with potential applications in precision agriculture, aimed at reducing crop yield losses due to late disease detection. By enabling early disease identification, the dataset supports sustainable agricultural practices and enhances food security.

The dataset is publicly available through Mendeley Data and comes in a ZIP archive containing the raw JPG images and corresponding CSV metadata files. The dataset is a reusable resource for machine learning-based plant disease detection, and it can be further augmented with other datasets for cross-regional benchmarking in disease monitoring and early intervention.
DOI: 10.13018/bmr7422
title: Pseudo Contact shifts and RDCs of Galectin-3 with C-terminal LBT tagged at a proton frequency of 600MHz.
DOI: 10.17632/89c9r5m2gx.1
title: High-Resolution Dataset of Common Bean Leaf Diseases in Bangladesh

description: This dataset consists of 3,180 high-resolution images of Phaseolus vulgaris (common bean) leaves, collected from the Rangpur Division in Bangladesh. The dataset is divided into five classes: Angular Leaf Spot (ALS), Anthracnose (ANT), Mosaic Virus (MV), Rust, and Healthy Leaves. The images were captured under natural daylight conditions using mobile phones, ensuring real-world applicability for field-based disease detection.

The dataset includes the following class distribution:

Angular Leaf Spot (ALS): 635 images

Anthracnose (ANT): 671 images

Mosaic Virus (MV): 629 images

Rust: 625 images

Healthy Leaves: 620 images

The dataset is well-balanced, which prevents bias during training, making it ideal for machine learning applications. The high-resolution images (average 4020 × 3093 pixels) offer detailed views of the leaf surface, essential for fine-grained feature extraction. The images were captured with an A4 background to minimize environmental disturbances and ensure consistent quality across the dataset.

Accompanying the images is comprehensive metadata, which includes details on image resolution, file size, sharpness, noise, brightness, RGB values, and texture features like contrast and homogeneity. This metadata is useful for further analysis of disease-specific visual patterns and enables researchers to investigate disease classification under standardized conditions.

This dataset is particularly suited for training and validating deep learning models such as Convolutional Neural Networks (CNNs), Vision Transformers, and YOLO-based architectures for disease classification and severity detection. It provides a valuable resource for AI-based plant pathology research, with potential applications in precision agriculture, aimed at reducing crop yield losses due to late disease detection. By enabling early disease identification, the dataset supports sustainable agricultural practices and enhances food security.

The dataset is publicly available through Mendeley Data and comes in a ZIP archive containing the raw JPG images and corresponding CSV metadata files. The dataset is a reusable resource for machine learning-based plant disease detection, and it can be further augmented with other datasets for cross-regional benchmarking in disease monitoring and early intervention.
DOI: 10.5281/zenodo.18781380
title: The Guesser-Knower task with pet dogs (Canis familiaris) shows low construct validity and test-retest reliability
DOI: 10.13018/bmr7423
title: Solution structure of CaM complexed to DAPk peptide
DOI: 10.5281/zenodo.18781379
title: The Guesser-Knower task with pet dogs (Canis familiaris) shows low construct validity and test-retest reliability
DOI: 10.13018/bmr7424
title: Solution structure of CaM complexed to DAPk peptide
DOI: 10.13018/bmr7425
title: Solution structure of CaM complexed to DAPk peptide
DOI: 10.13018/bmr7426
title: Yersinia pseudotuberculosis type III secretion effector YopE.