cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3vk5qz
title: Occurrence Download

description: A dataset containing 284385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.041 7.26542,107.77406 1.92363,108.92642 -1.98362,110.83032 -4.38465,113.68617 -4.53451,116.59213 -4.58445,117.54408 -3.83495,118.59623 -2.08376,119.29767 -0.18032,119.49808 1.37273,119.64839 3.17493,121.65249 5.82195,118.49603 7.1163,116.79254 7.7125,116.041 7.26542))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 284385 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189009-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uf6k3h
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.48315 43.86841,-3.35083 43.73657,-6.40503 44.11011,-7.89917 44.61548,-9.89868 43.7146,-9.67896 40.55054,-9.7229 38.13354,-9.06372 36.83716,-5.3064 35.7605,-1.79077 35.60669,0.67017 39.0564,0.95581 41.45142,-1.48315 43.86841))",
 "TaxonKey is Laminaria J.V.F.Lamouroux, 1813"
 ]
}

 The dataset includes 178 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007538-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm66wu
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nola taeniata Snellen, 1875",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189021-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jry2e
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomatogoniopsis alpina T.N.Ho & S.W.Liu"
 ]
}

 The dataset includes 43 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013079-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en4shu
title: Occurrence Download

description: A dataset containing 752 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wittmackia lingulata (L.) Mez"
 ]
}

 The dataset includes 752 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006146-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdg3ey
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbesina baruensis Hammel & D' Arcy"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006145-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2c9jw
title: Occurrence Download

description: A dataset containing 19875 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisotremus surinamensis (Bloch, 1791)"
 ]
}

 The dataset includes 19875 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051422-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2pq5s
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The genetic and morphological diversity of Nance (Byrsonima crassifolia) en Yucatán, Mexico"
 ]
}

 The dataset includes 213 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189011-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn44bb
title: Occurrence Download

description: A dataset containing 16913 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitracarpus Zucc."
 ]
}

 The dataset includes 16913 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013091-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uwa6y
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craugastor rhyacobatrachus (Campbell & Savage, 2000)"
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192921-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wj7vp
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lippia gracilis Schauer"
 ]
}

 The dataset includes 137 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051401-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17986530
title: SEM-BSE micrographs of UO2 for grain boundary segmentation (model parameters and datasets)

description: This repository contains the data, trained deep learning model parameters and SEraMic grain boundary detection results presented in the manuscript entitled 'A deep-learning approach to grain boundary detection in backscattered electron images'.

The folder Data contains 12 experimental datasets, (Di)i=1,...,6 and (Ti)i=1,...,6, of SEM-BSE images of uranium dioxide samples and their corresponding grain boundary images and a synthetic dataset. (Di)i=1,...,6 and (Ti)i=1,...,5 were obtained from [1, 2] and T6 was provided from [3]. Each Di dataset contains one SEM-BSE image and the corresponding grain boundary image, and each SEM-BSE image corresponds to an independent region of interest (ROI). Each Ti dataset contains 10-12 SEM-BSE images of the same ROI acquired by tilting the sample to different angles. The ROIs of each dataset Ti are different.

The training dataset of the baseline UNet (B), the baseline UNet initialized with pre-trained parameters from the synthetic dataset (B_SyntExp), the deeply supervised UNet (DS) and the Holistically-Nested Edge Detection (HED) models was composed of 4 images of (Di)i=1,...,4 datasets and one image per (Ti)i=2,...,5 datasets. The two images of the (Di)i=5,6 datasets were used as validation dataset (see subfolder Data/TrainValidData). The entire T1 and T6 datasets were used as testing datasets (see subfolder Data/TestData).

A synthetic dataset (see subfolder Data/SyntData where only a few example data are given) was used to compare different parameter initialization strategies.

The folder Models contains the trained B, B_SyntExp, DS and HED model parameters and the SEraMic multi-image-based detection results. The j-th detection result of the SEraMic on testing dataset Ti based on n SEM-BSE images is presented by Models/SEraMic/Pred/Ti/Sn/Res_plot/Ij.tif. The set of n images used for one multi-image detection result is given by Models/SEraMic/Multi_image_based_detection.pdf.

 

[1] M. B. Saada, Étude du comportement visco-plastique du dioxyde d’uranium: quantification par analyse EBSD et ECCI des effets liés aux conditions de sollicitation et à la microstructure initiale, Ph.D. thesis, Université de Lorraine, 2017.

[2] M. B. Saada, X. Iltis, N. Gey, A. Miard, P. Garcia, N. Maloufi, Influence of intra-granular void distribution on the grain sub-structure of uo2 pellets after high temperature compression tests, Journal of Nuclear Materials 545 (2021) 152632.

[3] N. Clavier, M. Massonnet, L. Claparede, R. Podor, P.-H. Imbert, J. Martinez, N. Dacheux, Impact of sintering parameters on the microstructure of homogeneous u1-xcexo2+ 𝛿 ceramics, Journal of the American Ceramic Society (2025) e20376.
DOI: 10.5281/zenodo.17986529
title: SEM-BSE micrographs of UO2 for grain boundary segmentation (model parameters and datasets)

description: This repository contains the data, trained deep learning model parameters and SEraMic grain boundary detection results presented in the manuscript entitled 'A deep-learning approach to grain boundary detection in backscattered electron images'.

The folder Data contains 12 experimental datasets, (Di)i=1,...,6 and (Ti)i=1,...,6, of SEM-BSE images of uranium dioxide samples and their corresponding grain boundary images and a synthetic dataset. (Di)i=1,...,6 and (Ti)i=1,...,5 were obtained from [1, 2] and T6 was provided from [3]. Each Di dataset contains one SEM-BSE image and the corresponding grain boundary image, and each SEM-BSE image corresponds to an independent region of interest (ROI). Each Ti dataset contains 10-12 SEM-BSE images of the same ROI acquired by tilting the sample to different angles. The ROIs of each dataset Ti are different.

The training dataset of the baseline UNet (B), the baseline UNet initialized with pre-trained parameters from the synthetic dataset (B_SyntExp), the deeply supervised UNet (DS) and the Holistically-Nested Edge Detection (HED) models was composed of 4 images of (Di)i=1,...,4 datasets and one image per (Ti)i=2,...,5 datasets. The two images of the (Di)i=5,6 datasets were used as validation dataset (see subfolder Data/TrainValidData). The entire T1 and T6 datasets were used as testing datasets (see subfolder Data/TestData).

A synthetic dataset (see subfolder Data/SyntData where only a few example data are given) was used to compare different parameter initialization strategies.

The folder Models contains the trained B, B_SyntExp, DS and HED model parameters and the SEraMic multi-image-based detection results. The j-th detection result of the SEraMic on testing dataset Ti based on n SEM-BSE images is presented by Models/SEraMic/Pred/Ti/Sn/Res_plot/Ij.tif. The set of n images used for one multi-image detection result is given by Models/SEraMic/Multi_image_based_detection.pdf.

 

[1] M. B. Saada, Étude du comportement visco-plastique du dioxyde d’uranium: quantification par analyse EBSD et ECCI des effets liés aux conditions de sollicitation et à la microstructure initiale, Ph.D. thesis, Université de Lorraine, 2017.

[2] M. B. Saada, X. Iltis, N. Gey, A. Miard, P. Garcia, N. Maloufi, Influence of intra-granular void distribution on the grain sub-structure of uo2 pellets after high temperature compression tests, Journal of Nuclear Materials 545 (2021) 152632.

[3] N. Clavier, M. Massonnet, L. Claparede, R. Podor, P.-H. Imbert, J. Martinez, N. Dacheux, Impact of sintering parameters on the microstructure of homogeneous u1-xcexo2+ 𝛿 ceramics, Journal of the American Ceramic Society (2025) e20376.
DOI: 10.5281/zenodo.17225570
title: MultiPhysio-HRC: Multimodal Physiological Signals Dataset for industrial Human-Robot Collaboration

description: The MultiPhysio-HRC dataset contains multimodal recordings collected to study stress, cognitive load, and affect during industrial human-robot collaboration (HRC) and related tasks. Data were acquired from 55 participants on the first day and 42 participants on the second day, across resting baselines, cognitive tasks (Stroop, N-Back, Mental Arithmetic, Tower of Hanoi), guided breathing, a virtual reality height-exposure stressor, manual battery disassembly, and collaborative disassembly with a voice-controlled cobot.

The dataset includes physiological signals (ECG, EDA, EMG, respiration at 256 Hz, and 12-channel dry EEG), voice recordings, and facial action units, together with ground-truth measures from validated questionnaires (STAI-Y1 for stress, NASA-TLX for workload, SAM for valence/arousal/dominance, and NARS at baseline). Data are synchronized, pseudo-anonymized, and released with derivative feature sets in CSV format to facilitate analysis.

The data collection was approved by the SUPSI ethics committee, and all participants provided informed consent. A companion GitHub repository provides loaders, preprocessing pipelines, feature extraction, and baseline machine learning models for reproducibility.
DOI: 10.14278/rodare.4185
title: Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation

description: This repository contains the outputs, model checkpoints and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article.
DOI: 10.14278/rodare.4184
title: Data publication: Deep learning for dose-averaged linear energy transfer estimation in pencil-beam scanning and double scattering proton plans with uncertainty-aware external validation

description: This repository contains the outputs, model checkpoints and result data of our deep-learning-based experiments for the approximation of Monte-Carlo-simulated linear energy transfer distributions and uncertainty estimation, which build the foundation for the corresponding article.
DOI: 10.15468/dl.pt27gb
title: Occurrence Download

description: A dataset containing 1839 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uraspis secunda"
 ]
}

 The dataset includes 1839 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060563-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9tj35
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.22_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060564-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24435/materialscloud:1f-zn
title: Stable n-type conduction in WOx-CNT hybrid films

description: Nanostructured hybrid films composed of tungsten oxide (WOx) nanoclusters and vertically aligned carbon nanotubes (CNTs) were synthesized through a combination of chemical vapor deposition and supersonic cluster beam deposition. The use of a cluster source enabled the direct fabrication of oxygen-deficient, nonstoichiometric WOx nanoclusters, which decorated the CNT sidewalls with a characteristic “beaded necklace-style” morphology. Electrical resistance measurements under ethanol exposure in ultrahigh vacuum revealed a distinct behavior consistent with n-type conduction, unlike the intrinsic p-type behavior of pristine CNTs and of WOx films. This inversion is linked to the appearance of an interfacial charge transfer from the oxygen vacancies in the defective WOx nanoclusters to the CNTs, which injects electrons into the CNT network and shifting its Fermi level, thereby inverting the conduction type. Notably, this n-type conduction response remained stable even after prolonged air exposure. These results propose a viable approach to achieving air-stable n-type doping in CNT-based nanostructures.
DOI: 10.24435/materialscloud:45-ew
title: Stable n-type conduction in WOx-CNT hybrid films

description: Nanostructured hybrid films composed of tungsten oxide (WOx) nanoclusters and vertically aligned carbon nanotubes (CNTs) were synthesized through a combination of chemical vapor deposition and supersonic cluster beam deposition. The use of a cluster source enabled the direct fabrication of oxygen-deficient, nonstoichiometric WOx nanoclusters, which decorated the CNT sidewalls with a characteristic “beaded necklace-style” morphology. Electrical resistance measurements under ethanol exposure in ultrahigh vacuum revealed a distinct behavior consistent with n-type conduction, unlike the intrinsic p-type behavior of pristine CNTs and of WOx films. This inversion is linked to the appearance of an interfacial charge transfer from the oxygen vacancies in the defective WOx nanoclusters to the CNTs, which injects electrons into the CNT network and shifting its Fermi level, thereby inverting the conduction type. Notably, this n-type conduction response remained stable even after prolonged air exposure. These results propose a viable approach to achieving air-stable n-type doping in CNT-based nanostructures.
DOI: 10.15468/dl.5fbqxe
title: Occurrence Download

description: A dataset containing 388827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 45.0",
 "DecimalLatitude is less than or equal to 50.0",
 "DecimalLongitude is greater than or equal to -80.0",
 "DecimalLongitude is less than or equal to -75.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 388827 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060546-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ls/duqykm
title: A case study on topsoil removal and rewetting for paludiculture: effect on biogeochemistry and greenhouse gas emissions from Typha latifolia, Typha angustifolia, and Azolla filiculoides

description: This dataset contains the data that support the findings of the paper 'A case study on topsoil removal and rewetting for paludiculture: effect on biogeochemistry and greenhouse gas emissions from Typha latifolia, Typha angustifolia, and Azolla filiculoides' published in Biogeosciences.
&lt;a href="https://doi.org/10.5194/bg-21-2669-2024"&gt;https://doi.org/10.5194/bg-21-2669-2024&lt;/a&gt;
DOI: 10.15468/dl.ntzm54
title: Occurrence Download

description: A dataset containing 7886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heterotheca villosa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7886 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060565-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyy64x
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.24_1",
 "TaxonKey is Morphnus guianensis"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060566-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukj2sv
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.22_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.22.23_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060567-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x8z62gkhhw
title: Biomarker Dataset for Prediabetes Classification Using Interpretable Machine Learning

description: This dataset contains clinical and biomarker measurements from 604 adult participants who attended the DiabHealth rural diabetes screening clinic between 2002 and 2015. Variables include demographics (Gender, Age), cardiovascular history (CVD-Revised, HT-Status), glycemic markers (ScreenGlucose, HbA1c), lipid profile (Triglyceride, TC, HDL, LDL), inflammatory markers (CRP, IL-6, IL-1Beta, IL-10, MCP-1, IGF-1), oxidative stress markers (8-OHdG, GSH, GSSG, GSH/GSSG), and mitochondrial-related peptides (Humanin, MOTS-c, p66Shc). Prediabetes and control status in the associated manuscript were derived from ScreenGlucose according to ADA fasting glucose criteria (5.6–6.9 mmol/L for prediabetes; &lt;5.6 mmol/L for controls). All data are de-identified and were used to develop and validate interpretable machine learning models for prediabetes classification.
DOI: 10.17632/x8z62gkhhw.1
title: Biomarker Dataset for Prediabetes Classification Using Interpretable Machine Learning

description: This dataset contains clinical and biomarker measurements from 604 adult participants who attended the DiabHealth rural diabetes screening clinic between 2002 and 2015. Variables include demographics (Gender, Age), cardiovascular history (CVD-Revised, HT-Status), glycemic markers (ScreenGlucose, HbA1c), lipid profile (Triglyceride, TC, HDL, LDL), inflammatory markers (CRP, IL-6, IL-1Beta, IL-10, MCP-1, IGF-1), oxidative stress markers (8-OHdG, GSH, GSSG, GSH/GSSG), and mitochondrial-related peptides (Humanin, MOTS-c, p66Shc). Prediabetes and control status in the associated manuscript were derived from ScreenGlucose according to ADA fasting glucose criteria (5.6–6.9 mmol/L for prediabetes; &lt;5.6 mmol/L for controls). All data are de-identified and were used to develop and validate interpretable machine learning models for prediabetes classification.