cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34724/casd.431.3531.v4
title: Système d'Information et de Traitement Automatisé des Données Élémentaires sur les Logements et les locaux - 2018

description: Le Système d’Information et de Traitement Automatisé des Données Elémentaires sur les Logements et les locaux (SITADEL) est une base de données qui recense l’ensemble des opérations de construction à usage d’habitation (logement) et à usage non résidentiel (locaux) soumises à la procédure d’instruction du permis de construire. Les données de SITADEL sont alimentées par l’ensemble des informations recueillies dans les mairies concernant les actes d’urbanisme. Il s’agit principalement des informations du permis de construire, mais également celles des déclarations de travaux, des permis de démolir ou de lotir. SITADEL a pour objectif de mesurer la construction afin de répondre aux besoins variés d’études, de prévision et d’orientation. Il permet de localiser finement l’implantation des logements neufs et des locaux d’activité. Il sert à estimer précisément l’offre de logements par type d’habitat et à prévoir son évolution. Il sert également à mesurer et prévoir l’activité du secteur de la construction et à orienter les politiques publiques menées par les ministères chargés de l’urbanisme et du logement. SITADEL fournit des informations sur les principales caractéristiques des opérations de construction neuve; les logements, en nombre et surfaces autorisées ou commencées, selon le type de construction, le mode d’utilisation, le maître d’ouvrage..., et les locaux autres qu’habitation, en surface autorisée ou commencée, selon le maître d’ouvrage et le type d’ouvrage… Pour les permis de construire, tous les événements de la vie du projet sont suivis depuis le dépôt de la demande à l’achèvement des travaux. Les informations de SITADEL sont disponibles à un niveau individuel (listes de permis) ou agrégées à la commune, la zone d’emploi, l’EPCI, le département. C’est le niveau individuel qui est mis à disposition.
DOI: 10.34724/casd.431.3532.v4
title: Système d'Information et de Traitement Automatisé des Données Élémentaires sur les Logements et les locaux - 2019

description: Le Système d’Information et de Traitement Automatisé des Données Elémentaires sur les Logements et les locaux (SITADEL) est une base de données qui recense l’ensemble des opérations de construction à usage d’habitation (logement) et à usage non résidentiel (locaux) soumises à la procédure d’instruction du permis de construire. Les données de SITADEL sont alimentées par l’ensemble des informations recueillies dans les mairies concernant les actes d’urbanisme. Il s’agit principalement des informations du permis de construire, mais également celles des déclarations de travaux, des permis de démolir ou de lotir. SITADEL a pour objectif de mesurer la construction afin de répondre aux besoins variés d’études, de prévision et d’orientation. Il permet de localiser finement l’implantation des logements neufs et des locaux d’activité. Il sert à estimer précisément l’offre de logements par type d’habitat et à prévoir son évolution. Il sert également à mesurer et prévoir l’activité du secteur de la construction et à orienter les politiques publiques menées par les ministères chargés de l’urbanisme et du logement. SITADEL fournit des informations sur les principales caractéristiques des opérations de construction neuve; les logements, en nombre et surfaces autorisées ou commencées, selon le type de construction, le mode d’utilisation, le maître d’ouvrage..., et les locaux autres qu’habitation, en surface autorisée ou commencée, selon le maître d’ouvrage et le type d’ouvrage… Pour les permis de construire, tous les événements de la vie du projet sont suivis depuis le dépôt de la demande à l’achèvement des travaux. Les informations de SITADEL sont disponibles à un niveau individuel (listes de permis) ou agrégées à la commune, la zone d’emploi, l’EPCI, le département. C’est le niveau individuel qui est mis à disposition.
DOI: 10.34724/casd.431.5239.v3
title: Système d'Information et de Traitement Automatisé des Données Élémentaires sur les Logements et les locaux - 2020

description: Le Système d’Information et de Traitement Automatisé des Données Elémentaires sur les Logements et les locaux (SITADEL) est une base de données qui recense l’ensemble des opérations de construction à usage d’habitation (logement) et à usage non résidentiel (locaux) soumises à la procédure d’instruction du permis de construire. Les données de SITADEL sont alimentées par l’ensemble des informations recueillies dans les mairies concernant les actes d’urbanisme. Il s’agit principalement des informations du permis de construire, mais également celles des déclarations de travaux, des permis de démolir ou de lotir. SITADEL a pour objectif de mesurer la construction afin de répondre aux besoins variés d’études, de prévision et d’orientation. Il permet de localiser finement l’implantation des logements neufs et des locaux d’activité. Il sert à estimer précisément l’offre de logements par type d’habitat et à prévoir son évolution. Il sert également à mesurer et prévoir l’activité du secteur de la construction et à orienter les politiques publiques menées par les ministères chargés de l’urbanisme et du logement. SITADEL fournit des informations sur les principales caractéristiques des opérations de construction neuve; les logements, en nombre et surfaces autorisées ou commencées, selon le type de construction, le mode d’utilisation, le maître d’ouvrage..., et les locaux autres qu’habitation, en surface autorisée ou commencée, selon le maître d’ouvrage et le type d’ouvrage… Pour les permis de construire, tous les événements de la vie du projet sont suivis depuis le dépôt de la demande à l’achèvement des travaux. Les informations de SITADEL sont disponibles à un niveau individuel (listes de permis) ou agrégées à la commune, la zone d’emploi, l’EPCI, le département. C’est le niveau individuel qui est mis à disposition.
DOI: 10.25549/inscriptifact-ouc112016377
title: Cuneiform Tablet 1913.14.0226, Spurlock 1913.14.0226

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0226; CDLI P420608 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3 x 2.8 x 1.8 cm (19g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112044628
title: Cuneiform Tablet 1913.14.0147, Spurlock 1913.14.0147

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0147; CDLI P420528 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 6.6 x 4.7 x 2.6 cm (93g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112018985
title: Cuneiform Tablet 1913.14.0255, Spurlock 1913.14.0255

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0255; CDLI P420637 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Yellowish Pink (5YR 8.5/1.5) Dark Gray (N 4.25/ 13.7% R) -discoloration ❧ [Physical Object Note:] 4.6 x 4.4 x 2.4 cm (58g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.25549/inscriptifact-ouc112018803
title: Cuneiform Tablet 1913.14.0256, Spurlock 1913.14.0256

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0256; CDLI P420638 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 4.3 x 4.1 x 2.6 cm (53g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.g79zbk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is Colección científica del Museo de Historia Natural Alfredo Dugés"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207734-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej2cds
title: Occurrence Download

description: A dataset containing 719454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elaphrus aureus P.Müller, 1821, Emberiza calandra Linnaeus, 1758, Emberiza cirlus Linnaeus, 1767)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 719454 records from 802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0358580-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tqd5y
title: Occurrence Download

description: A dataset containing 38193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melia azedarach L."
 ]
}

 The dataset includes 38193 records from 591 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0332170-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112044527
title: Cuneiform Tablet 1913.14.0147, Spurlock 1913.14.0147

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0147; CDLI P420528 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 6.6 x 4.7 x 2.6 cm (93g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.y87c7x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is GEO-Hauptveranstaltung Bodden (Vilm)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207738-230224095556074/datasets/export for details.
DOI: 10.15468/dl.mvargq
title: Occurrence Download

description: A dataset containing 17572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Certhia americana Bonaparte, 1838",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2001",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 17572 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0358639-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr79qk
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athroostachys Benth."
 ]
}

 The dataset includes 269 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302969-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112044701
title: Cuneiform Tablet 1913.14.0147, Spurlock 1913.14.0147

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.0147; CDLI P420528 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Pale Orange Yellow (10YR 8/2.5) ❧ [Physical Object Note:] 6.6 x 4.7 x 2.6 cm (93g) ❧ [Physical Object Note:] Seal impressions
DOI: 10.15468/dl.psu69c
title: Occurrence Download

description: A dataset listing the 62312 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset's 62312 records were derived from 1086 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302972-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166328.10fu
title: SH0166328.10FU

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/sh0166329.10fu
title: SH0166329.10FU

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/sh0166330.10fu
title: SH0166330.10FU

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/sh0166331.10fu
title: SH0166331.10FU

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/sh0166332.10fu
title: SH0166332.10FU

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/sh0166333.10fu
title: SH0166333.10FU

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/sh0166334.10fu
title: SH0166334.10FU

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/sh0166335.10fu
title: SH0166335.10FU

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/sh0166336.10fu
title: SH0166336.10FU

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.