cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tkfjb7
title: Occurrence Download

description: A dataset containing 61476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthracoceros albirostris (Shaw, 1808)"
 ]
}

 The dataset includes 61476 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117072-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj6j3z
title: Occurrence Download

description: A dataset containing 1037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potentilla anemonifolia Lehm."
 ]
}

 The dataset includes 1037 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117074-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e163121v1-156521
title: Data and Code for: Electoral Cycles in Macroprudential Regulation

description: Do politics matter for macroprudential policies? I show that changes in macroprudential regulation exhibit a predictable electoral cycle in the run-up to 221 elections across 58 countries from 2000 through 2014. Policies restricting mortgages and consumer credit are systematically looser before elections, particularly during economic expansions. Consistent with theories of opportunistic political cycles, this pattern is stronger when election outcomes are uncertain, regulators are closely tied to politicians, and institutions are poor. These results suggest that political pressures may limit the ability of regulators to“lean against the wind.”
DOI: 10.18112/openneuro.ds005452.v1.0.3
title: An fMRI dataset for investigating language control and cognitive control in bilinguals
DOI: 10.18112/openneuro.ds005452.v1.0.4
title: An fMRI dataset for investigating language control and cognitive control in bilinguals
DOI: 10.18150/hqrv6a
title: Robustness of entanglement-based discrete- and continuous-variable quantum key distribution against channel noise - data set

description: The dataset includes the code, written in Wolfram Mathematica, needed to reproduce the results of numerical simulations presented in the following article:M. Lasota, O. Kovalenko, V. C. Usenko, "Robustness of entanglement-based discrete- and continuous-variable quantum key distribution against channel noise", New J. Phys. 25, 123003 (2023).The file is divided on two sections. The first one entitled "Key generation rate formulas" includes all the equations necessary to calculate key generation rate for various protocols and sets of assumptions analyzed in the aforementioned paper.The second section entitled "Data for figures" contains all the steps necessary for performing numerical simulations and presenting their results exactly as they were shown in the article.
DOI: 10.6084/m9.figshare.26942107
title: Laurus nobilis chorology

description: Distribution map of <i>Laurus nobilis</i>.These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.15468/dl.nyppec
title: Occurrence Download

description: A dataset containing 126031 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mosquito Occurrence Dataset"
 ]
}

 The dataset includes 126031 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116992-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13686358
title: Job applications for positions in the Napoleonic administration (1800-1815)

description: Dataset of application letters for positions in the Napoleonic administration (prefect, sub-prefect, secretary general, and counselor of the prefecture) in the French Republic and later the French Empire, drafted by a sample of 330 French and Italian candidates. The 800 applications are sourced from the French National Archives, collection F1dII. The table contains metadata extracted by the researcher. Column headers include a legend explaining the content where necessary. For columns where this is not specified, the content should be interpreted as follows. For instance, in the column concerning the candidates' previous experience as prefects or sub-prefects: "SPsi" = yes, the candidate has served as a sub-prefect; "SPno" = no experience as a sub-prefect. Other columns follow a similar structure. The final column contains full transcriptions of the texts, without lemmatization, preserving the original spelling. The concluding salutations in the letters have not been transcribed.
DOI: 10.5281/zenodo.13686359
title: Job applications for positions in the Napoleonic administration (1800-1815)

description: Dataset of application letters for positions in the Napoleonic administration (prefect, sub-prefect, secretary general, and counselor of the prefecture) in the French Republic and later the French Empire, drafted by a sample of 330 French and Italian candidates. The 800 applications are sourced from the French National Archives, collection F1dII. The table contains metadata extracted by the researcher. Column headers include a legend explaining the content where necessary. For columns where this is not specified, the content should be interpreted as follows. For instance, in the column concerning the candidates' previous experience as prefects or sub-prefects: "SPsi" = yes, the candidate has served as a sub-prefect; "SPno" = no experience as a sub-prefect. Other columns follow a similar structure. The final column contains full transcriptions of the texts, without lemmatization, preserving the original spelling. The concluding salutations in the letters have not been transcribed.
DOI: 10.5281/zenodo.13690446
title: scPharm_targeted_drug_combo1214.rds
DOI: 10.5281/zenodo.13690447
title: scPharm_targeted_drug_combo1214.rds
DOI: 10.15468/dl.q5dq7g
title: Occurrence Download

description: A dataset containing 348652453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 348652453 records from 10267 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0116953-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-10189
title: Put' = Voie = [The way], no. 14 (December 1928)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.mxwtc7
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aegialomys xanthaeolus (Thomas, 1894)"
 ]
}

 The dataset includes 683 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348349-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-10281
title: Put' = Voie = [The way], no. 14 (December 1928)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.a72h73
title: Occurrence Download

description: A dataset containing 12747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sinapis alba L., Sinechostictus decoratus (Duftschmid, 1812))",
 "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 12747 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-10299
title: Put' = Voie = [The way], no. 14 (December 1928)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.5qc376
title: Occurrence Download

description: A dataset containing 9895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arnica montana L.",
 "Country is one of (Switzerland)"
 ]
}

 The dataset includes 9895 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348342-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-10609
title: Put' = Voie = [The way], no. 17 (July 1929)

description: [description english/roman)] Irregular frequency
DOI: 10.25549/pcra-c14-10600
title: Put' = Voie = [The way], no. 17 (July 1929)

description: [description english/roman)] Irregular frequency
DOI: 10.15468/dl.rsz68y
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Base de datos de la Sala de Colecciones Biológicas de la Universidad Católica del Norte (SCBUCN) Chile",
 "TaxonKey is Amphipoda"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0361717-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-7969
title: Khristianin = [The Christian], 1927, no. 10 (1927)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.5uwwpg
title: Occurrence Download

description: A dataset containing 3356 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipodomys spectabilis Merriam, 1890"
 ]
}

 The dataset includes 3356 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-7419
title: Khristianin = [The Christian], 1926, no. 5 (1926)

description: [description english/roman)] Monthly
DOI: 10.25549/pcra-c14-8086
title: Khristianin = [The Christian], 1928, no. 2 (1928)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.74zptu
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lestradea stappersii (Poll, 1943)"
 ]
}

 The dataset includes 218 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338434-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-7718
title: Khristianin = [The Christian], 1927, no. 5 (1927)

description: [description english/roman)] Monthly
DOI: 10.15156/bio/sh1531339.08fu
title: SH1531339.08FU

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/sh2618121.08fu
title: SH2618121.08FU

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/sh2618122.08fu
title: SH2618122.08FU

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: 10.25549/one-ouc12247511
title: Photographs
DOI: 10.15156/bio/sh1531340.08fu
title: SH1531340.08FU

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/sh1531341.08fu
title: SH1531341.08FU

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/sh2618123.08fu
title: SH2618123.08FU

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/sh2618124.08fu
title: SH2618124.08FU

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/sh2618125.08fu
title: SH2618125.08FU

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/sh1531342.08fu
title: SH1531342.08FU

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.