cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id399248.1
title: StrainInfo SI-ID 399248.1

description: StrainInfo dataset 399248 about a strain of Gorillibacterium massiliense. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.25582/data.2023-06.2830519/2375961
title: Data for EMSL Project 51287 from June 2023
DOI: 10.60712/si-id399249.1
title: StrainInfo SI-ID 399249.1

description: StrainInfo dataset 399249 about a strain of Lactobacillus intestinalis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.xvwc51
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paepalanthus muscosus Körn."
 ]
}

 The dataset includes 49 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002413-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id399250.1
title: StrainInfo SI-ID 399250.1

description: StrainInfo dataset 399250 about a strain of Phycicoccus endophyticus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.fxjbjr
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplostephium glutinosum S.F.Blake"
 ]
}

 The dataset includes 50 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002052-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id399326.1
title: StrainInfo SI-ID 399326.1

description: StrainInfo dataset 399326 about a strain of Staphylococcus piscifermentans. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.25582/data.2023-06.2830551/2375962
title: Data for EMSL Project 51287 from June 2023
DOI: 10.60712/si-id399327.1
title: StrainInfo SI-ID 399327.1

description: StrainInfo dataset 399327 about a strain of Paenibacillus tianmuensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399328.1
title: StrainInfo SI-ID 399328.1

description: StrainInfo dataset 399328 about a strain of Unidentified. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399155.1
title: StrainInfo SI-ID 399155.1

description: StrainInfo dataset 399155 about a strain of Streptomyces. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.25582/data.2023-06.2830453/2375963
title: Data for EMSL Project 51287 from June 2023
DOI: 10.60712/si-id399156.1
title: StrainInfo SI-ID 399156.1

description: StrainInfo dataset 399156 about a strain of Microbacterium. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id399157.1
title: StrainInfo SI-ID 399157.1

description: StrainInfo dataset 399157 about a strain of Pseudomonas viridiflava. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.fs5pk8
title: Occurrence Download

description: A dataset containing 3496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spheniscus demersus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3496 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003234-170925132151566/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzcbp3
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/0002319-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9mcck
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus lipofiliformis Goetgh."
 ]
}

 The dataset includes 199 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011533-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2yfri
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/0007044-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhcjc6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis wageneri (Rchb.f.) Rchb.f."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011484-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udwmtv
title: Occurrence Download

description: A dataset containing 199106640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1000-2016",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 199106640 records from 3883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003825-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14229619
title: Mechanical Metamaterial: Square Array of Circular Holes Under Deformation

description: This repository contains data for a research project involving graph neural networks (GNNs) applied to mechanical metamaterials and their deformations. 

The mechanical metamaterials of interest consist of a flexible rubber-like material with a square grid of almost-circular holes in it, of various diameters. The holes are not quite circular, because they were made slightly elliptic to avoid the bifurcation point.

This data was used to obtain the results in the paper 'Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials'.

The data includes PyTorch Geometric Graph objects, raw data from MATLAB simulations, and files describing the finite element mesh. The Jupyter notebook 'data_create_graphs.ipynb' in the GitHub repository can be used to turn the raw data and mesh information into the graph objects.

GitHub repository with the code: https://github.com/FHendriks11/SimEGNN

Link to the corresponding paper Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials: https://www.sciencedirect.com/science/article/pii/S0045782525001392 (also on ArXiv: https://arxiv.org/abs/2404.17365)

The .pkl files are pickle files and can be opened in Python using the standard pickle library. The mesh files, which have the extension .mat, are MatLab files and can be opened either in MatLab or in Python using scipy.io.loadmat from the scipy library.
DOI: 10.5281/zenodo.14229618
title: Mechanical Metamaterial: Square Array of Circular Holes Under Deformation

description: This repository contains data for a research project involving graph neural networks (GNNs) applied to mechanical metamaterials and their deformations. 

The mechanical metamaterials of interest consist of a flexible rubber-like material with a square grid of almost-circular holes in it, of various diameters. The holes are not quite circular, because they were made slightly elliptic to avoid the bifurcation point.

This data was used to obtain the results in the paper 'Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials'.

The data includes PyTorch Geometric Graph objects, raw data from MATLAB simulations, and files describing the finite element mesh. The Jupyter notebook 'data_create_graphs.ipynb' in the GitHub repository can be used to turn the raw data and mesh information into the graph objects.

GitHub repository with the code: https://github.com/FHendriks11/SimEGNN

Link to the corresponding paper Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials: https://www.sciencedirect.com/science/article/pii/S0045782525001392 (also on ArXiv: https://arxiv.org/abs/2404.17365)

The .pkl files are pickle files and can be opened in Python using the standard pickle library. The mesh files, which have the extension .mat, are MatLab files and can be opened either in MatLab or in Python using scipy.io.loadmat from the scipy library.
DOI: 10.15468/dl.np2gkg
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer negundo",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002344-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845501
title: A new angle on stacking faults: Breaking the edge-on limit in high-resolution defect analysis

description: This record contains datasets and code related to the publication:

N. Karpstein et al., A new angle on stacking faults: Breaking the edge-on limit in high-resolution defect analysis (submitted to journal). A preprint has been uploaded to arXiv: doi:10.48550/arXiv.2506.15510

A readme file containing descriptions of datatypes can be found in the main folder.

 

This record has been updated to provide a separate Readme file with instructions and further details for the code, additional comments within the code, as well as a demo dataset on which the code can be tested.

 

Abstract:

The nature of stacking faults—whether intrinsic or extrinsic—plays a pivotal role in defect-mediated processes in crystalline materials. Yet, current electron microscopy techniques for their reliable analysis remain limited to either conventional fringe-contrast imaging of inclined faults or atomic-resolution imaging of edge-on configurations. Here, we overcome this dichotomy by introducing a high-resolution scanning transmission electron microscopy (HRSTEM) method that enables full structural discrimination of inclined stacking faults, as demonstrated for various faults in fcc and L1₂ crystals. This approach eliminates a long-standing geometric constraint on high-resolution analysis, providing comprehensive access to stacking faults on all glide planes along the widely used [001] and [110] zone axes. We demonstrate the robustness of the method in a CoNi-based superalloy, achieving clear discrimination of fault types even in overlapping configurations and foil thicknesses exceeding 100 nm. Simulations reveal that fault-induced de-channeling is key to contrast formation and is strongly governed by the fault’s depth within the sample. Leveraging this effect, we further establish a route to artificially generate ultrathin TEM lamellae—bounded by the stacking fault itself—thereby enhancing contrast for atomic-scale studies of long-range ordering, compositional fluctuations, and nanoclustering.

 

Code is released under the MIT license, everything else is under the CC BY 4.0 license.
DOI: 10.15468/dl.aq24fj
title: Occurrence Download

description: A dataset containing 2064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Apodemus draco"
 ]
}

 The dataset includes 2064 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002346-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15860805
title: Raw data for : Virtual Screening of Small Molecules for Targeting DYRK1A Kinase: Identifying Novel Inhibitors through Computational  Approaches

description: This repository contains raw data related to "Virtual Screening of Small Molecules for Targeting DYRK1A Kinase: Identifying Novel Inhibitors through Computational  Approaches" by Ursal et al.

Included are SDF files of the used databases for the virtual screening against Dyrk1A.
DOI: 10.5281/zenodo.15860806
title: Raw data for : Virtual Screening of Small Molecules for Targeting DYRK1A Kinase: Identifying Novel Inhibitors through Computational  Approaches

description: This repository contains raw data related to "Virtual Screening of Small Molecules for Targeting DYRK1A Kinase: Identifying Novel Inhibitors through Computational  Approaches" by Ursal et al.

Included are SDF files of the used databases for the virtual screening against Dyrk1A.
DOI: 10.15468/dl.uszn2d
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alliaria taurica"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002347-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz2g8m
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ailanthus altissima",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002348-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh2saw
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.31_1, CHN.1_1, CHN.24_1, CHN.15_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus sinensis"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002349-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9v6yz
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alshehbazia friesii"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002350-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czqcdp
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-6.06916 37.32099,-6.04897 37.32099,-6.04897 37.33447,-6.06916 37.33447,-6.06916 37.32099))"
 ]
}

 The dataset includes 512 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002351-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25666/dataubfc-2024-10-16
title: Exploratory phase (2024) - Ecological commitment and aspirations: Interviews with residents of the Dijon metropolitan area
title: Phase exploratoire (2024) - Engagement et aspirations écologiques : Entretiens des habitants de la métropole de Dijon

description: As part of the POPSU Transition Métropole research program, this exploratory phase (2024), part of axis 2 of the study, is based on a series of interviews with residents of the Dijon metropolitan area. The aim is to gain a better understanding of their life paths, their relationship with ecological commitment and their aspirations for the future. Conducted during the first six months of the project, this first stage enabled us to gather the data presented here.

This sheet covers the exploratory phase. The in-depth phase is the subject of another complementary sheet in the same work area:
https://search-data.ubfc.fr/FR-13002091000019-2024-10-16_Ecological-commitment-and-aspirations.html
description: Dans le cadre du programme de recherche POPSU Transition Métropole, cette phase exploratoire (2024), inscrite dans l'axe 2 de l'étude, repose sur une série d’entretiens menés auprès des habitants de la métropole de Dijon. L’objectif est de mieux comprendre leurs parcours de vie, leur rapport à l’engagement écologique et leurs aspirations pour l’avenir. Menée lors des six premiers mois du projet, cette première étape a permis de recueillir les données présentées ici.

Cette fiche porte sur la phase exploratoire. La phase approfondie fait l’objet d’une autre fiche complémentaire, dans le cadre du même axe de travail : https://search-data.ubfc.fr/FR-13002091000019-2024-10-16_Ecological-commitment-and-aspirations.html
description: Audience: University: master, Research, Amateur, Policy maker
description: UpdatePeriodicity: no update
description: AdditionnalInformation: This sheet currently contains the interview guide used. Eventually, it will also include interview transcripts.
description: AdditionnalInformation: Cette fiche contient pour l'instant le guide d'entretien utilisé. A terme, elle rassemblera également les retranscriptions des entretiens.
description: Project: POPSU Transitions : Dijon Métropole – Penser les tenants et les aboutissants d’une métropole en transition : circularité entre modes de vie et politiques publiques, Dijon métropole (Local community), GIP L’Europe des projets architecturaux et urbains (Ministry)
description: Observational data: This sheet currently contains the interview guide used. It will later contain the transcripts of the 20 interviews conducted with 27 people. Contact was made possible thanks to the help of Bruno Faivre. Transcriptions were made using Whisper software..
description: Données d'observation: Cette fiche contient actuellement le guide d'entretien utilisé. Elle regroupera, dans un deuxième temps, les retranscriptions des 20 entretiens réalisés auprès de 27 personnes. La prise de contact a été rendue possible grâce à l'aide de Bruno Faivre. Les retranscriptions ont été effectuées à l'aide du logiciel Whisper.
DOI: 10.25666/dataosu-2020-06-26
title: CARPODATA : archaeobotany database
title: CARPODATA : base de données de Carpologie

description: CARPODATA database allows the storage and retrieval of all raw data related to the archaeobotanical analyses (plant macro-remains) of archaeological sites.
description: La base de données CARPODATA, permet de stocker et de retrouver l'intégralité de données brutes en rapport avec les analyses carpologiques (macro-restes végétaux fossiles) des sondages archéologiques intra- et extra-sites d'habitat.
description: Audience: University: master, Research, University: licence
description: UpdatePeriodicity: as needed
description: Project: CARPICS - CARPological Images for Comparative Studies, ZAAJ - Zone Atelier Arc Jurassien (Zone atelier (ZA))
description: Project: Atelier CARPODATA, FRA Bioarchéologie - Faire de l'histoire du vivant une force de l'avenir (FRA 2006) (Another public institution)
description: Project: Histoire, origine et diffusion de l'agriculture: nouvelles preuves de l'archaeobotanie et de la paléogénomique – ArkaeoAG, Agence Nationale de la Recherche (French National Agency for Research)
description: Project: AGRAL - Agriculture et Alimentation en Bourgogne Franche-Comté, Amorçage (Region Bourgogne Franche-Comté)
description: Project: Développement d’une application de gestion et partage des données en carpologie : CARPODATA, SRO OSU THETA 2020 (OSU)
description: Label: FRA BioArchéologie (Fédération de Recherche et d’Animation BioArchéologie - Faire de l'histoire du vivant une force de l'avenir)
description: Reference data: Carpology protocol: sampling, sieving, sorting under binocular loupe, identification using a reference collection.
description: Données de référence: Protocole carpologique : prélèvement, tamisage, tri sous loupe binoculaire, identification à l'aide d'une collection de référence.
DOI: 10.15468/dl.tpuwyu
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis cerana",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002352-250710112747441/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25666/dataubfc-2025-04-29
title: Pollen analysis - Vatteville-la-Rue (F-76), Mare des Trois Pierres, Forêt de Brotonne
title: Analyse pollinique - Vatteville-la-Rue (F-76), Mare des Trois Pierres, Forêt de Brotonne

description: 16 palynological samples from a borehole drilled in a pond in the Brotonne forest. Very rich in spores and pollens. Two last millennia.
Four 14C dates : between 27 and 28 cm = 1690 ± 35 BP ; between 53,5 and 54,5 cm = 1750 ± 30 BP ; between 65 and 66 cm = 1725 ± 30 BP ; between 77 and 78 cm = 1810 ± 30 BP
description: 16 échantillons provenant d'un forage effectué dans une mare de la forêt de Brotonne. Très riche en spores et pollens. Deux derniers millénaires.
4 dates 14C : entre 27 et 28 cm = 1690 ± 35 BP ; entre 53,5 et 54,5 cm = 1750 ± 30 BP ; entre 65 et 66 cm = 1725 ± 30 BP ; entre 77 et 78 cm = 1810 ± 30 BP
description: Audience: Research
description: Experimental data: Samples collected by drilling (sonde russe, type GIK).
Physicochemical preparation with NaOH method.
Determination and counting of spores and pollens under the microscope.
description: Données expérimentales: Echantillons prélevés par forage (sonde russe, type GIK).
Préparation physico-chimique, méthode dite NaOH.
Détermination et comptage des spores et des pollens au microscope.