cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34847/nkl.08e504x9
title: ERCHornEast_Documentation_Excavations_Bilet_2019
title: ERCHornEast_Documentation_Fouilles_Bilet_2019

description: In December 2019, a multidisciplinary team from the ERC HornEast project, led by Julien Loiseau, carried out an archaeological excavation in Kwiḥa (South Eastern Tigray, Ethiopia). The team was composed of Julien Loiseau (historian, Aix-Marseille University, director of the ERC HornEast project), Simon Dorso (archaeologist, Lyon-2 University, CIHAM), Elise Mercier (archaeologist, Poitiers University, HERMA), Hiluf Berhe, professor of archeology at Mekelle University, David Ollivier (topographer and archaeologist , CNRS, LA3M), Bertrand Hirsch (historian, University Paris-1 Panthéon Sorbonne), Amélie Chekroun (historian, CNRS, IREMAM), Jean-François Breton (archaeologist, CNRS, ArScAn), Deresse Ayenachew (historian, Debre Berhan University, ERC HornEast), Robert Kool (archaeologist, Israel Antiquities Authority), Desta HaileYesus (archaeologist, Mekelle University). Also part of the team were Dawit Tibebu, expert from the ARCCH (Addis Ababa) and Guesh Tsehaye, archaeologist, expert from the Cultural and Tourism Office of Tigray (Mekelle), Goitom Admasu, expert from the Cultural and Tourism Office of Mekelle City. Students from the master's degree in archeology at Mekelle University actively participated in the excavations.
description: En décembre 2019, une équipe pluridisciplinaire du projet ERC HornEast, dirigée par Julien Loiseau, a réalisé une fouille archéologique à Kwiḥa (Tigray du Sud-Est, Éthiopie). L'équipe était composée de Julien Loiseau (historien, Aix-Marseille Université, directeur du projet ERC HornEast), Simon Dorso (archéologue, Université Lyon-2, CIHAM), Elise Mercier (archéologue, Poitiers Université, HERMA), Hiluf Berhe, professeur d'archéologie à l'Université de Mekele, David Ollivier (topographe et archéologue, CNRS, LA3M), Bertrand Hirsch (historien, Université Paris-1 Panthéon Sorbonne), Amélie Chekroun (historienne, CNRS, IREMAM), Jean-François Breton (archéologue, CNRS , ArScAn), Deresse Ayenachew (historienne, Debre Berhan University, ERC HornEast), Robert Kool (archéologue, Israel Antiquities Authority), Desta HaileYesus (archéologue, Mekelle University). Font également partie de l'équipe Dawit Tibebu, expert de l'ARCCH (Addis Abeba) et Guesh Tsehaye, archéologue, expert de l'Office culturel et touristique du Tigré (Mekelle), Goitom Admasu, expert de l'Office culturel et touristique de la ville de Mekelle. Les étudiants de la maîtrise en archéologie de l'Université de Mekelle ont activement participé aux fouilles.
DOI: 10.71726/i31827ab
title: Regional Profile Great Sandy Desert GSD

description: The data and interpretations presented are based on firsthand experience, being compiled by the Department of Conservation and Land Management’s regional nature conservation staff between July 2001 and January 2002.
DOI: 10.15151/esrf-es-2113942939
title: Structural Biology in Marseille

description: The BAG groups 9 teams from 6 Marseille laboratories. Mutual understanding amongst all PIs provides a solid base for efficient organization of the BAG. Research revolves around infection, health and biotechnology. For the next beam time allocation period (6 months) we could make efficient use of 12 MX and 2 SAXS shifts. Three teams combine structural biology with medicinal chemistry and beam time at MASSIF for large ligand-screening campaigns will mostly suit their purpose. Access to beamlines with tunable energy will be instrumental for projects requiring experimental phasing. One team uses exclusively Bio-SAXS. Allocation of one shift per session would be welcomed. Remote access for MX sessions has become very popular whereas scientists prefer to be on-site for Bio-SAXS experiments. The BAG uses also beam time at Synchrotron SOLEIL and overlap in experiment scheduling engenders in certain instances beam time cancellations.
DOI: 10.15468/dl.t795mz
title: Occurrence Download

description: A dataset containing 2698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is one of (BRA.19.40_2, BRA.19.30_2, BRA.19.68_2)",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 2698 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070568-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71726/3fi71gl9
title: Regional Profile Gibson Desert GD

description: The data and interpretations presented are based on firsthand experience, being compiled by the Department of Conservation and Land Management’s regional nature conservation staff between July 2001 and January 2002.
DOI: 10.15468/dl.an8y7m
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-76.80259 -14.39869,-74.67061 -17.56863,-69.97361 -18.89745,-67.40857 -16.48568,-74.6373 -11.70549,-76.80259 -14.39869))",
 "HasGeospatialIssue is false",
 "TaxonKey is Muscisaxicola frontalis (Burmeister, 1860)"
 ]
}

 The dataset includes 147 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070571-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu4qje
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "Geometry POLYGON((-70.42055 -18.49167,-69.25386 -18.26455,-69.28378 -17.29603,-69.88208 -15.97757,-71.22826 -15.31503,-72.78386 -15.34388,-73.98046 -16.09258,-70.42055 -18.49167))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nycticorax nycticorax (Linnaeus, 1758)"
 ]
}

 The dataset includes 2150 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070572-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29310668.v16
title: Logic 14 pdf NEW

description: Logic innovation
DOI: 10.15468/dl.ev98mc
title: Occurrence Download

description: A dataset containing 189150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Dryoscopus cubla (Latham, 1802)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 189150 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070561-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71726/bkutycwc
title: Regional Profile Geraldton Sandplains GS

description: The data and interpretations presented are based on firsthand experience, being compiled by the Department of Conservation and Land Management’s regional nature conservation staff between July 2001 and January 2002.
DOI: 10.15468/dl.eubsqv
title: Occurrence Download

description: A dataset containing 5145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.05568 6.29681,-75.05191 6.28963,-75.04909 6.28315,-75.04344 6.2795,-75.03366 6.27868,-75.02424 6.27809,-75.01824 6.27856,-75.00976 6.28386,-75.00823 6.29563,-75.01294 6.30752,-75.02589 6.31282,-75.0432 6.31129,-75.05309 6.30776,-75.05568 6.29681))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5145 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070575-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71726/ktpigupl
title: Regional Profile Gascoyne CAR

description: The data and interpretations presented are based on firsthand experience, being compiled by the Department of Conservation and Land Management’s regional nature conservation staff between July 2001 and January 2002.
DOI: 10.15468/dl.snkdp8
title: Occurrence Download

description: A dataset containing 15846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Dryoscopus gambensis (Lichtenstein, 1823)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 15846 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070578-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwezbf
title: Occurrence Download

description: A dataset containing 17946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.73838 5.64715,-75.69476 5.64715,-75.69476 5.69701,-75.73838 5.69701,-75.73838 5.64715))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17946 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070577-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.090d90ne
title: CH5_logements_bénéficiaires_nominatif (BN)

description: Jeu de données dédié aux bénéficiaires d'habitations à bon marché (HBM) dans les années 1920 et 1930.
Il contient des feuilles de calculs dédiées
- aux bénéficiaires d'HBM par ville, notamment avec indications d'état civil (total d'individus = 936).
- à des comptages croisant sexe (avec liste nominative et données biographiques des femmes ayant obtenu une HBM) et profession.
 - aux individus qualifiés d'"indigènes" qui bénéficient d'une HBM ; toutes les informations à leur propos ont été recueillies et datées, permettant d'établir des parcours et comptages.
 - à des comptages relatifs aux individus qualifiés d'"indigènes" (avec liste nominative et données biographiques des bénéficiaires) croisant profession, âge, citoyenneté, mention de sources très diverses (total d'individus = 203).
- à des comptages relatifs à l'appartenance à la franc-maçonnerie, à la publication "indigène" La Voix des Humbles et à une association de familles nombreuses.

Ce jeu de données a été produit par Thierry Guillopé dans le cadre de son doctorat d'histoire, Le logement social en Algérie à la période coloniale (années 1920 - 1960), Thèse d'histoire sous la direction de Sylvie Thénault et Loïc Vadelorge, Université Gustave Eiffel, 2023. Ces données font l'objet d'analyse en son chapitre 5.
[https://theses.fr/2023UEFL2014]
Voir en particulier les annexes
- n° 5-3 : "Revenus nécessaires pour bénéficier d'HBM en accession à la propriété : deux exemples constantinois (1924, 1930)" (vol. 3, p. 113).
- n° 5-6 : "Bénéficiaires d'HBM membres d'autres associations à Constantine et Sétif" (vol. 3, p. 116).
- n° 5-8 : "Analyse quantitative des bénéficiaires : méthodologie" (vol. 3, p. 119).
- n° 5-9 : "Programmes de construction d'HBM en accession à la propriété et bénéficiaires afférents (1922-1936) formant le socle des analyses quantitatives (profession, âge, genre)" (vol. 3, p. 120).
- n° 5-12 : "Des 'indigènes' dans les HBM : délimitations du corpus et stratégies de recherche" (vol. 3, p. 122).
DOI: 10.15468/dl.eq8cq6
title: Occurrence Download

description: A dataset containing 1019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Dryoscopus pringlii Jackson, 1893",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1019 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070580-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3dzny
title: Occurrence Download

description: A dataset containing 3376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Kalanchoe Adans."
 ]
}

 The dataset includes 3376 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070582-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1062722.10fu
title: SH1062722.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062723.10fu
title: SH1062723.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062725.10fu
title: SH1062725.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062727.10fu
title: SH1062727.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062729.10fu
title: SH1062729.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.3myn6k
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Medicago ruthenica",
 "Year 1970-2000"
 ]
}

 The dataset includes 68 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002403-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1062730.10fu
title: SH1062730.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062733.10fu
title: SH1062733.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062735.10fu
title: SH1062735.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1062737.10fu
title: SH1062737.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.