cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25666/dataubfc-2020-10-27-02
title: EBSD mapping of shear zones strain gradient - seismic anisotropy
title: Cartographie EBSD de gradients de déformation de zones de cisaillement - anisotropie sismique

description: Objective : calculate the crystallographic preferred orientation (CPO) of each mineral phase in order to rebuild the elastic properties of the polyminéralic aggregates.
description: Objectif : caractériser les orientations cristallographiques préférentielles (OCP) de chaque phase minérale dans le but de reconstruire les propriétés élastiques des agrégats polyminéraliques.
description: Audience: University: master, Research
description: UpdatePeriodicity: no update
description: Project: Thèse de doctorat de Thomas Leydier, CNRS INSU TelluS–SYSTER 2016 (CNRS), Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
description: Données d'observation: La méthode EBSD permet de caractériser les propriétés cristallographiques d'un échantillon (orientations cristallographiques, taille des grains...). Un détecteur EBSD est principalement composé d’un écran fluorescent, sur lequel vont se former les diagrammes de diffraction, et d’une caméra à bas niveau de lumière, qui va permettre de récupérer l’image de ces diagrammes. Le détecteur est généralement placé dans un microscope électronique à balayage (MEB). Le faisceau électronique généré par le MEB va ainsi venir percuter la surface de l’échantillon incliné de 70°. D'après le diagramme de diffraction des électrons obtenu en un point donné, il est possible de déterminer l'orientation cristallographique en ce point.

Les analyse ont été menées sur des d’échantillons collectés entre 2013 et 2018. Les cartes sont les premières données générées, et sont ensuite nettoyées afin d'en extraire différentes informations (orientations cristallographiques préférentielles, degré de désorientation...). 

Contrairement aux cartes visant à caractériser les mécanismes de déformation, c'est ici la taille des cartes qui a été optimisée vis-à-vis de la résolution, dans un souci de représentativité. L'objectif est en effet de déterminer la proportion des différentes phases minérales présentes sur l'ensemble de la lame mince, ainsi que leurs orientations cristallographiques préférentielles, afin de reconstruire les propriétés sismiques globales de l'échantillon.
DOI: 10.15468/dl.zk6hpx
title: Occurrence Download

description: A dataset containing 2907 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptopygus antarcticus"
 ]
}

 The dataset includes 2907 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047353-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/9zd7jw
title: Freshwater zooplankton dataset for automated image recognition and size measurement across seasons from three large peri-alpine lakes

description: We present here a dataset of freshwater crustacean zooplankton species and measures compiled using ZooScan (HYDROPTIC Inc.) on three French peri-alpine lakes that can be used as a model database to train automated identification using the online interface Ecotaxa (https://ecotaxa.obs-vlfr.fr).
DOI: 10.57745/ahk6au
title: Zooscan-Dataset_2024.tab

description: :unav
DOI: 10.15468/dl.u24yy5
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Geometry POLYGON((9.621853216083942 52.197181202814676,11.027003807986631 52.197181202814676,11.027003807986631 53.60233179471737,9.621853216083942 53.60233179471737,9.621853216083942 52.197181202814676))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus"
 ]
}

 The dataset includes 107 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047355-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17900758
title: XITOY VA O'ZBEK TILLARI MISOLIDA TOPONIMLARNING METAFORIK TALQINI
DOI: 10.5281/zenodo.17900759
title: XITOY VA O'ZBEK TILLARI MISOLIDA TOPONIMLARNING METAFORIK TALQINI
DOI: 10.25666/dataubfc-2025-02-21
title: Characterisation of bifunctional macrocyclic chelators for the coordination of actinium-225 (2025)
title: Caractérisation de chélateurs macrocycliques bifonctionnels pour la coordination de l'actinium-225 (2025)

description: Raw spectroscopic data (NMR, mass spectrometry) HPLC reverse-phase elution profiles of PSMA conjugates and ions dosage (Cl-, TFA) relating to the chelators and intermediates synthesised.
description: Données spectroscopiques brutes (RMN, spectrométrie de masse) profils d'élution HPLC en phase inverse de conjugués PSMA et dosage d'ions (Cl-, TFA) relatifs aux chélateurs et intermédiaires synthétisés.
description: Audience: Research
description: UpdatePeriodicity: as needed
description: Project: Thèse de doctorat de Maxime Cheveau, Chematech (industrial contract), Conventions Industrielles de Formation par la Recherche (CIFRE) Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
description: Project: IRM et TEP couplées en imagerie pré-clinique (IMAPPI), ANR-10-EQPX-0005 (French National Agency for Research)
description: Label: PACSMUB (Pôle Chimie Moléculaire)
description: Experimental data: Spectroscopic data were acquired using several scientific instrumentation softwares: Bruker TopSpin for NMR data and Thermo Scientific Xcalibur for high-resolution mass spectra. HPLC data were obtained using Thermo Scientific Chromeleon software. Mass and HPLC data were converted into pdf format. Only NMR data processing requires the use of Bruker TopSpin (a free version is available, TopSpin academic) or MestReNova software.
description: Données expérimentales: Les données spectroscopiques ont été acquises en utilisant plusieurs logiciels d'instrumentation scientifique : Bruker TopSpin pour les données RMN et Thermo Scientific Xcalibur pour les spectres de masse haute résolution. Concernant les données HPLC, elles ont été obtenues en utilisant le logiciels Thermo Scientific Chromeleon. Les données de masse et HPLC ont été converties en format pdf. Seul le traitement des données RMN nécessite l'utilisation des logiciels Bruker TopSpin (une version gratuite est disponible, TopSpin academic) ou MestReNova.
DOI: 10.15468/dl.nzkfh7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.863 -1.155818, 102.792723 -1.161384, 102.724175 -1.177945, 102.659044 -1.205094, 102.598932 -1.242161, 102.545319 -1.288236, 102.499526 -1.342183, 102.462679 -1.402676, 102.435687 -1.468225, 102.419214 -1.537215, 102.413667 -1.60795, 102.419183 -1.678687, 102.435629 -1.747685, 102.462599 -1.813245, 102.499432 -1.873751, 102.545221 -1.927713, 102.598838 -1.973803, 102.658964 -2.010884, 102.724117 -2.038044, 102.792692 -2.054612, 102.863 -2.06018, 102.933308 -2.054612, 103.001883 -2.038044, 103.067036 -2.010884, 103.127162 -1.973803, 103.180779 -1.927713, 103.226568 -1.873751, 103.263401 -1.813245, 103.290371 -1.747685, 103.306817 -1.678687, 103.312333 -1.60795, 103.306786 -1.537215, 103.290313 -1.468225, 103.263321 -1.402676, 103.226474 -1.342183, 103.180681 -1.288236, 103.127068 -1.242161, 103.066956 -1.205094, 103.001825 -1.177945, 102.933277 -1.161384, 102.863 -1.155818))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047356-251120083545085/datasets/export for details.
DOI: 10.25666/dataubfc-2020-11-06-02
title: EBSD mapping of shear zones strain gradient - deformation mechanisms
title: Cartographie EBSD de gradients de déformation de zones de cisaillement - mécanismes de déformation

description: Objective : characterize the deformation mechanisms and the crystallographic fabrics within homogeneously deformed granitic samples.
description: Objectif : caractériser les mécanismes de déformation et les fabriques cristallographiques au sein d'échantillons de granites déformés.
description: Audience: University: master, Research
description: UpdatePeriodicity: no update
description: Project: Thèse de doctorat de Thomas Leydier, CNRS INSU TelluS–SYSTER 2016 (CNRS), Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
description: Données d'observation: La méthode EBSD permet de caractériser les propriétés cristallographiques d'un échantillon (orientations cristallographiques, taille des grains...). Un détecteur EBSD est principalement composé d’un écran fluorescent, sur lequel vont se former les diagrammes de diffraction, et d’une caméra à bas niveau de lumière, qui va permettre de récupérer l’image de ces diagrammes. Le détecteur est généralement placé dans un microscope électronique à balayage (MEB). Le faisceau électronique généré par le MEB va ainsi venir percuter la surface de l’échantillon incliné de 70°. D'après le diagramme de diffraction des électrons obtenu en un point donné, il est possible de déterminer l'orientation cristallographique en ce point.

Les analyse ont été menées sur des d’échantillons collectés entre 2013 et 2018. Les cartes sont les premières données générées, et sont ensuite nettoyées afin d'en extraire différentes informations (orientations cristallographiques préférentielles, degré de désorientation...).

Il s'agit ici de cartes de haute résolution, visant à caractériser finement les mécanismes de déformation impliqués dans le fonctionnement de la zone de cisaillement.
DOI: 10.15468/dl.2um3db
title: Occurrence Download

description: A dataset containing 16259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.31_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16259 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047359-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxzhkv
title: Occurrence Download

description: A dataset listing the 242 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.4823 36.11497))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 242 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047337-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sq8sfg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cosentinia vellea bivalens"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047360-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds007052.v1.1.1
title: PURSUE N400 Word Processing
DOI: 10.5281/zenodo.17900352
title: Datasets used in analysis for article " The 2009-2010 extreme drought effect on Carbon Sink in Southwest China, a land surface modeling perspective"

description: This dataset hosts data supporting the analysis performed in the article titled "The 2009-2010 extreme drought effect on Carbon Sink in Southwest China, a land surface modeling perspective". This dataset includes data and code supporting the results section and supplementary figures in this paper. The code was written using NCAR Command Language (NCL), developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR).

Links and instructions for model and analysis tools are provided below:



NCL: Developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR), available at https://github.com/NCAR/ncl

CLM5: https://github.com/ESCOMP/cesm


We used the China Meteorological Forcing Dataset (CMFD, https://doi.org/10.11888/Meteoro.tpdc.270961) to drive model simulations. We run the spinup simulation using 2000 to 2016 atmospheric forcing and cycled for 40 times (a total of 680 years) to reach the steady state. The time step of the simulation is 30s, and we analyzed monthly outputs. The spatial resolution was 0.1°×0.1°.

The files included in this dataset are described below:



Changes in NEE and the recovery time.zip: This file is used to study changes in carbon sinks during drought periods and their recovery time. 

CLM-simulated carbon flux values.zip: This file contains the CLM5.0 simulation results for carbon flux.

General mapping code and files.zip: This file contains supporting materials required for plotting.

Precipitation and temperature data.zip: This file contains the precipitation and temperature data used in the paper.

Sensitivity of NEE in Southwest China to Extreme Drought.zip: This file contains the calculated sensitivity of carbon sinks to drought, including carbon sink losses under different precipitation and temperature conditions in negative sensitivity areas.

Validation data.zip: This file contains processed data used to validate the simulation results of CLM5.0.
description: Acknowledgements

This research was funded by the National Natural Science Foundation of China (42475101), Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province (PAEKL-2024-K02), and the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu (IMHE-ZDRW-06). We acknowledge the high-performance computing support by the National Key Scientific and Technological Infrastructure project “Earth System Numerical Simulation Facility” (EarthLab).
DOI: 10.15468/dl.kdx7zp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.721 -1.143818, 102.650723 -1.149384, 102.582175 -1.165945, 102.517044 -1.193094, 102.456933 -1.230161, 102.403321 -1.276236, 102.357528 -1.330184, 102.320681 -1.390676, 102.293689 -1.456225, 102.277216 -1.525216, 102.271669 -1.595951, 102.277186 -1.666688, 102.293631 -1.735686, 102.320602 -1.801245, 102.357434 -1.861751, 102.403223 -1.915714, 102.45684 -1.961803, 102.516965 -1.998885, 102.582118 -2.026044, 102.650693 -2.042612, 102.721 -2.04818, 102.791307 -2.042612, 102.859882 -2.026044, 102.925035 -1.998885, 102.98516 -1.961803, 103.038777 -1.915714, 103.084566 -1.861751, 103.121398 -1.801245, 103.148369 -1.735686, 103.164814 -1.666688, 103.170331 -1.595951, 103.164784 -1.525216, 103.148311 -1.456225, 103.121319 -1.390676, 103.084472 -1.330184, 103.038679 -1.276236, 102.985067 -1.230161, 102.924956 -1.193094, 102.859825 -1.165945, 102.791277 -1.149384, 102.721 -1.143818))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047362-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17900351
title: Datasets used in analysis for article " The 2009-2010 extreme drought effect on Carbon Sink in Southwest China, a land surface modeling perspective"

description: This dataset hosts data supporting the analysis performed in the article titled "The 2009-2010 extreme drought effect on Carbon Sink in Southwest China, a land surface modeling perspective". This dataset includes data and code supporting the results section and supplementary figures in this paper. The code was written using NCAR Command Language (NCL), developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR).

Links and instructions for model and analysis tools are provided below:



NCL: Developed by the Computational and Information Systems Lab at the National Center for Atmospheric Research (NCAR), available at https://github.com/NCAR/ncl

CLM5: https://github.com/ESCOMP/cesm


We used the China Meteorological Forcing Dataset (CMFD, https://doi.org/10.11888/Meteoro.tpdc.270961) to drive model simulations. We run the spinup simulation using 2000 to 2016 atmospheric forcing and cycled for 40 times (a total of 680 years) to reach the steady state. The time step of the simulation is 30s, and we analyzed monthly outputs. The spatial resolution was 0.1°×0.1°.

The files included in this dataset are described below:



Changes in NEE and the recovery time.zip: This file is used to study changes in carbon sinks during drought periods and their recovery time. 

CLM-simulated carbon flux values.zip: This file contains the CLM5.0 simulation results for carbon flux.

General mapping code and files.zip: This file contains supporting materials required for plotting.

Precipitation and temperature data.zip: This file contains the precipitation and temperature data used in the paper.

Sensitivity of NEE in Southwest China to Extreme Drought.zip: This file contains the calculated sensitivity of carbon sinks to drought, including carbon sink losses under different precipitation and temperature conditions in negative sensitivity areas.

Validation data.zip: This file contains processed data used to validate the simulation results of CLM5.0.
description: Acknowledgements

This research was funded by the National Natural Science Foundation of China (42475101), Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province (PAEKL-2024-K02), and the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu (IMHE-ZDRW-06). We acknowledge the high-performance computing support by the National Key Scientific and Technological Infrastructure project “Earth System Numerical Simulation Facility” (EarthLab).
DOI: 10.25666/dataubfc-2020-11-06
title: EBSD mapping of brittle shear zones precursors
title: Cartographie EBSD des précurseurs fragiles des zones de cisaillement

description: Objective : microtextural characterization within a shear zone brittle precursor
description: Objectif : caractériser les microtextures au sein d'un précurseur fragile d'une zone de cisaillement
description: Audience: University: master, Research
description: UpdatePeriodicity: no update
description: Project: Thèse de doctorat de Thomas Leydier, CNRS INSU TelluS–SYSTER 2016 (CNRS), Contrat doctoral Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation (MESRI) (Ministry)
description: Données d'observation: La méthode EBSD permet de caractériser les propriétés cristallographiques d'un échantillon (orientations cristallographiques, taille des grains...). Un détecteur EBSD est principalement composé d’un écran fluorescent, sur lequel vont se former les diagrammes de diffraction, et d’une caméra à bas niveau de lumière, qui va permettre de récupérer l’image de ces diagrammes. Le détecteur est généralement placé dans un microscope électronique à balayage (MEB). Le faisceau électronique généré par le MEB va ainsi venir percuter la surface de l’échantillon incliné de 70°. D'après le diagramme de diffraction des électrons obtenu en un point donné, il est possible de déterminer l'orientation cristallographique en ce point.

Les analyse ont été menées sur des d’échantillons collectés en 2013. Les cartes sont les premières données générées, et sont ensuite nettoyées afin d'en extraire différentes informations (orientations cristallographiques préférentielles, degré de désorientation...).
DOI: 10.5281/zenodo.8140540
title: Potential Lu-N-H systems supporting high-temperature superconductivity

description: This dataset includes the supplementary data that can help improve the FAIR of data generated in Communications Materials volume 5, Article number: 61 (2024) DOI: https://doi.org/10.1038/s43246-024-00500-9

This repository contains





A complete list of the 214 metallic phases regardless of the dynamical stability (output-including-XRD-regardless-stability-240meV.xlsx)




Database of all the structures in VASP format whose enthalpy distance to the convex hull is less or equal to 0.24 eV/atom predicted from high-throughput structure screening




Structures (in Quantum Espresso input format) and dynamical matrix files for the electron-phonon coupling calculations for cubic Lu4H11N, Im-3m LuH6, and Pm-3m LuH10. Note that, if you want to employ Quantum Espresso versions > v 7.1, you have to change the the Hubbard U parameters because Quantum Espresso has changed the flags in the input file since version 7.1 for Hubbard U calculations. See https://www.quantum-espresso.org/Doc/user_guide_PDF/Hubbard_input.pdf



The request on the other data that may be not available here can be addressed to Yue-Wen Fang: fyuewen@gmail.com
DOI: 10.5281/zenodo.8140539
title: Potential Lu-N-H systems supporting high-temperature superconductivity

description: This dataset includes the supplementary data that can help improve the FAIR of data generated in Communications Materials volume 5, Article number: 61 (2024) DOI: https://doi.org/10.1038/s43246-024-00500-9

This repository contains





A complete list of the 214 metallic phases regardless of the dynamical stability (output-including-XRD-regardless-stability-240meV.xlsx)




Database of all the structures in VASP format whose enthalpy distance to the convex hull is less or equal to 0.24 eV/atom predicted from high-throughput structure screening




Structures (in Quantum Espresso input format) and dynamical matrix files for the electron-phonon coupling calculations for cubic Lu4H11N, Im-3m LuH6, and Pm-3m LuH10. Note that, if you want to employ Quantum Espresso versions > v 7.1, you have to change the the Hubbard U parameters because Quantum Espresso has changed the flags in the input file since version 7.1 for Hubbard U calculations. See https://www.quantum-espresso.org/Doc/user_guide_PDF/Hubbard_input.pdf



The request on the other data that may be not available here can be addressed to Yue-Wen Fang: fyuewen@gmail.com
DOI: 10.15468/dl.et2gcq
title: Occurrence Download

description: A dataset containing 207548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus serotina)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Geometry POLYGON ((-20 20, 45 20, 45 75, -20 75, -20 20))"
 ]
}

 The dataset includes 207548 records from 446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047333-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.