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

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amyema hilliana (Blakely) Danser"
 ]
}

 The dataset includes 188 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002719-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhwlhf
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Netherlands",
 "Country is Italy"
 ]
 },
 {
 "or" : [
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb.",
 "TaxonKey is Alternanthera philoxeroides var. philoxeroides",
 "TaxonKey is Alternanthera philoxeroides var. obtusifolia Moq.",
 "TaxonKey is Alternanthera philoxeroides var. platyphylla (Seub.) R.E.Fr.",
 "TaxonKey is Alternanthera philoxeroides var. obtusifolia (Mart.) Hicken",
 "TaxonKey is Alternanthera philoxeroides f. acutifolia (Moq.) Pedersen",
 "TaxonKey is Alternanthera philoxeroides var. lancifolia Chodat",
 "TaxonKey is Alternanthera philoxeroides subsp. philoxeroides"
 ]
 }
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013326-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qurmq
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Didymodon nevadensis R.H.Zander"
 ]
}

 The dataset includes 49 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002509-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud5n61
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Trachypithecus phayrei (Blyth, 1847)",
 "TaxonKey is Trachypithecus phayrei phayrei"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 116 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037409-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10970364
title: Oscars Nominees & Winners 1929-2024

description: El dataset s’ha obtingut el 14 de abril de 2024 i conté 9 camps que corresponen amb:





YEAR [date] – L’any de les nominacions - en total 96, des del començament dels premis fins a l’any en curs. 




AWARD [str] – El premi - en aquest cas Oscars. 




CATEGORY [str] – La categoría en la que se otorga el premi. 




ISPREMIUMCATEGORY [bool] – Si es tracta d’una categoria premium o no. 




NAMES [str] – nom de la pel·lícula / actriu / actor / directors nominats al premi.




URLIMAGE [link] – l’enllaç a les imatges .jpg de la pàgina de media-amazon 




SECONDARY NAMES [str] – nom dels actors principals de la pel·lícula nominada / pel·lícula a la que pertany banda sonora o actors.




LOCALIMAGE [link] – enllaç a les imatges descarregades disponible en format .zip en el drive. 




ISWINNER [bool] – True per als guanyadors i False per als nominats.



En la carpeta imgdummy s'ha ubicat el fitxer 2024.zip amb les imatges anonimitzades de les diferents nominacions.
DOI: 10.5281/zenodo.10970365
title: Oscars Nominees & Winners 1929-2024

description: El dataset s’ha obtingut el 14 de abril de 2024 i conté 9 camps que corresponen amb:





YEAR [date] – L’any de les nominacions - en total 96, des del començament dels premis fins a l’any en curs. 




AWARD [str] – El premi - en aquest cas Oscars. 




CATEGORY [str] – La categoría en la que se otorga el premi. 




ISPREMIUMCATEGORY [bool] – Si es tracta d’una categoria premium o no. 




NAMES [str] – nom de la pel·lícula / actriu / actor / directors nominats al premi.




URLIMAGE [link] – l’enllaç a les imatges .jpg de la pàgina de media-amazon 




SECONDARY NAMES [str] – nom dels actors principals de la pel·lícula nominada / pel·lícula a la que pertany banda sonora o actors.




LOCALIMAGE [link] – enllaç a les imatges descarregades disponible en format .zip en el drive. 




ISWINNER [bool] – True per als guanyadors i False per als nominats.



En la carpeta imgdummy s'ha ubicat el fitxer 2024.zip amb les imatges anonimitzades de les diferents nominacions.
DOI: 10.15468/dl.4eepz6
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Congosorex verheyeni Hutterer, Barriere & Colyn, 2002"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwgh6t
title: Occurrence Download

description: A dataset containing 28800 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SOMBASE BIOCONSTRUCTORS"
 ]
}

 The dataset includes 28800 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002720-150422101436696/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcshg4
title: Occurrence Download

description: A dataset containing 27346120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coleoptera"
 ]
}

 The dataset includes 27346120 records from 8337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006110-231120084113126/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.23537001
title: Link to the Wing Database in Airtable.

description: This database has wing images for 167 modern and fossil hymenopteran specimens. They are classified depending on the information included in the following fields:<br> • Clade. A single select field showing the phylogenetic group of the specimen according to the reference phylogeny cited on the main manuscript’s "Material and Methods" section.<br> • Fossil. A boolean field showing whether the image comes from a fossil or a modern animal.<br> • Period. A single select field showing the geological period from which the fossil wings come.<br> • Age/Stage. Some specimens include lower tiers of geological classification. It is also a single select field.<br> • Family/Subfamily. A single select field that shows lower tiers of phylogenetic classifications for some specimens.<br> • Genus. A text field showing the specimens generic name.<br> • Species. A text field showing the specific name.<br> • Quality. A multi select field vaguely describing the state of the image or wing. The options include "Complete", if the<br> specimen has a fore wing and a hind wing; "Only Forewing" and "Only Hindwing", if they only have one or the other;<br> "Partial Forewing" and "Partial Hindwing", for those lacking a segment in one wing and finally "Deformed wing", for<br> wings with slight deviations from the expected shape. The role of this field was more prominent during the development of the database to express how adequate the sample was for the future morphometric and morphofunctional analyses.<br> • Source. A text field that provides the links to the actual source of the wings when they were extracted from online<br> sources. For wings that came from articles, the author and date are reflected.<br> • Reference in Supporting Information (PNAS). A multi select field referencing the online databases and articles<br> listed in this document.
DOI: 10.6084/m9.figshare.23537001.v1
title: Link to the Wing Database in Airtable.

description: This database has wing images for 167 modern and fossil hymenopteran specimens. They are classified depending on the information included in the following fields:<br> • Clade. A single select field showing the phylogenetic group of the specimen according to the reference phylogeny cited on the main manuscript’s "Material and Methods" section.<br> • Fossil. A boolean field showing whether the image comes from a fossil or a modern animal.<br> • Period. A single select field showing the geological period from which the fossil wings come.<br> • Age/Stage. Some specimens include lower tiers of geological classification. It is also a single select field.<br> • Family/Subfamily. A single select field that shows lower tiers of phylogenetic classifications for some specimens.<br> • Genus. A text field showing the specimens generic name.<br> • Species. A text field showing the specific name.<br> • Quality. A multi select field vaguely describing the state of the image or wing. The options include "Complete", if the<br> specimen has a fore wing and a hind wing; "Only Forewing" and "Only Hindwing", if they only have one or the other;<br> "Partial Forewing" and "Partial Hindwing", for those lacking a segment in one wing and finally "Deformed wing", for<br> wings with slight deviations from the expected shape. The role of this field was more prominent during the development of the database to express how adequate the sample was for the future morphometric and morphofunctional analyses.<br> • Source. A text field that provides the links to the actual source of the wings when they were extracted from online<br> sources. For wings that came from articles, the author and date are reflected.<br> • Reference in Supporting Information (PNAS). A multi select field referencing the online databases and articles<br> listed in this document.
DOI: 10.5281/zenodo.8050903
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonhard Rauwolf, http://www.wikidata.org/entity/Q66514. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66514
DOI: 10.5281/zenodo.8050902
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonhard Rauwolf, http://www.wikidata.org/entity/Q66514. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66514
DOI: 10.5281/zenodo.8050911
title: clinocardium_nuttallii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8050910
title: clinocardium_nuttallii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7729545
title: Cross-language corpora of privacy policies

description: The dataset consists of three different privacy policy corpora (in English and Italian) composed of 81 unique privacy policy texts spanning the period 2018-2021. This dataset makes available an example of three corpora of privacy policies. The first corpus is the English-language corpus, the original used in the study by Tang et al. [2]. The other two are cross-language corpora built (one, the source corpus, in English, and the other, the replication corpus, in Italian, which is the language of a potential replication study) from the first corpus. The policies were collected from: the Alexa top 10 Italy and U.S. websites rank; the Play Store apps rank in the "most profitable games" category of the Play Store for Italy and the U.S. We manually analyzed the Alexa top 10 Italy websites as of November 2021. Analogously, we analyzed selected apps that, in the same period, had ranked better in the "most profitable games" category of the Play Store for Italy. All the privacy policies are ANSI-encoded text files and have been manually read and verified.<br> The dataset is helpful as a starting point for building comparable cross-language privacy policies corpora. The availability of these comparable cross-language privacy policies corpora helps replicate studies in different languages. <br> Details on the methodology can be found in the accompanying paper. The available files are as follows: <strong>policies-texts.zip</strong> --&gt; contains a directory of text files with the policy texts. File names are the SHA1 hashes of the policy text. <strong>policy-metadata.csv</strong> --&gt; Contains a CSV file with the metadata for each privacy policy. This dataset is the original dataset used in the publication [1]. The original English U.S. corpus is described in the publication [2]. [1] F. Ciclosi, S. Vidor and F. Massacci. "Building cross-language corpora for human understanding of privacy policies." Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision. Communications in Computer and Information Science. Springer International Publishing, 2023, In press. [2] J. Tang, H. Shoemaker, A. Lerner, and E. Birrell. Defining Privacy: How Users Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing Technologies, 3:70–94, 2021.
DOI: 10.5281/zenodo.7729546
title: Cross-language corpora of privacy policies

description: The dataset consists of three different privacy policy corpora (in English and Italian) composed of 81 unique privacy policy texts spanning the period 2018-2021. This dataset makes available an example of three corpora of privacy policies. The first corpus is the English-language corpus, the original used in the study by Tang et al. [2]. The other two are cross-language corpora built (one, the source corpus, in English, and the other, the replication corpus, in Italian, which is the language of a potential replication study) from the first corpus. The policies were collected from: the Alexa top 10 Italy and U.S. websites rank; the Play Store apps rank in the "most profitable games" category of the Play Store for Italy and the U.S. We manually analyzed the Alexa top 10 Italy websites as of November 2021. Analogously, we analyzed selected apps that, in the same period, had ranked better in the "most profitable games" category of the Play Store for Italy. All the privacy policies are ANSI-encoded text files and have been manually read and verified.<br> The dataset is helpful as a starting point for building comparable cross-language privacy policies corpora. The availability of these comparable cross-language privacy policies corpora helps replicate studies in different languages. <br> Details on the methodology can be found in the accompanying paper. The available files are as follows: <strong>policies-texts.zip</strong> --&gt; contains a directory of text files with the policy texts. File names are the SHA1 hashes of the policy text. <strong>policy-metadata.csv</strong> --&gt; Contains a CSV file with the metadata for each privacy policy. This dataset is the original dataset used in the publication [1]. The original English U.S. corpus is described in the publication [2]. [1] F. Ciclosi, S. Vidor and F. Massacci. "Building cross-language corpora for human understanding of privacy policies." Workshop on Digital Sovereignty in Cyber Security: New Challenges in Future Vision. Communications in Computer and Information Science. Springer International Publishing, 2023, In press. [2] J. Tang, H. Shoemaker, A. Lerner, and E. Birrell. Defining Privacy: How Users Interpret Technical Terms in Privacy Policies. Proceedings on Privacy Enhancing Technologies, 3:70–94, 2021.
DOI: 10.5281/zenodo.8035241
title: Michael Deem's PCOD database of Predicted Zeolitic Structures

description: These are the SLC 'good' sections of version 2.1 of Michael Deem's database of predicted zeolite structures. Version 1 was published in M. W. Deem, R. Pophale, P. A. Cheeseman, and D. J. Earl, ``Computational Discovery of New Zeolite-Like Materials,'' with cover image, <em>J. Phys. Chem. C</em> <strong>113</strong> (2009) 21353-21360. Version 2 was published in R. Pophale, P. A. Cheeseman, and M. W. Deem, "A Database of New Zeolite-Like Materials," <em>Phys. Chem. Chem. Phys.</em> <strong>13</strong> (2011) 12407-12412: "We here describe a database of computationally predicted zeolite-like materials. These crystals were discovered by a Monte Carlo search for zeolite-like materials. Positions of Si atoms as well as unit cell, space group, density, and number of crystallographically unique atoms were explored in the construction of this database. The database contains over 2.6 M unique structures. Roughly 15% of these are within +30 kJ mol<sup>−1</sup>Si of α-quartz, the band in which most of the known zeolites lie. These structures have topological, geometrical, and diffraction characteristics that are similar to those of known zeolites. The database is the result of refinement by two interatomic potentials that both satisfy the Pauli exclusion principle." https://doi.org/10.1039/C0CP02255A These files are also available at https://mwdeem.org/PCOD
description: These files should be used, rather than the earlier versions posted at https://zenodo.org/record/4030232.
description: {"references": ["https://doi.org/10.1039/C0CP02255A", "https://doi.org/10.1021/jp906984z", "https://mwdeem.org/PCOD"]}
DOI: 10.5281/zenodo.8035240
title: Michael Deem's PCOD database of Predicted Zeolitic Structures

description: These are the SLC 'good' sections of version 2.1 of Michael Deem's database of predicted zeolite structures. Version 1 was published in M. W. Deem, R. Pophale, P. A. Cheeseman, and D. J. Earl, ``Computational Discovery of New Zeolite-Like Materials,'' with cover image, <em>J. Phys. Chem. C</em> <strong>113</strong> (2009) 21353-21360. Version 2 was published in R. Pophale, P. A. Cheeseman, and M. W. Deem, "A Database of New Zeolite-Like Materials," <em>Phys. Chem. Chem. Phys.</em> <strong>13</strong> (2011) 12407-12412: "We here describe a database of computationally predicted zeolite-like materials. These crystals were discovered by a Monte Carlo search for zeolite-like materials. Positions of Si atoms as well as unit cell, space group, density, and number of crystallographically unique atoms were explored in the construction of this database. The database contains over 2.6 M unique structures. Roughly 15% of these are within +30 kJ mol<sup>−1</sup>Si of α-quartz, the band in which most of the known zeolites lie. These structures have topological, geometrical, and diffraction characteristics that are similar to those of known zeolites. The database is the result of refinement by two interatomic potentials that both satisfy the Pauli exclusion principle." https://doi.org/10.1039/C0CP02255A These files are also available at https://mwdeem.org/PCOD
description: These files should be used, rather than the earlier versions posted at https://zenodo.org/record/4030232.
description: {"references": ["https://doi.org/10.1039/C0CP02255A", "https://doi.org/10.1021/jp906984z", "https://mwdeem.org/PCOD"]}
DOI: 10.34740/kaggle/dsv/5956074
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.5281/zenodo.8050923
title: evasterias_troschelii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8050922
title: evasterias_troschelii_zanfona_1.fasta.gz

description: .
DOI: 10.25549/wpacards-m1390
title: WPA household census for 1108 S EASTMAN
DOI: 10.25549/wpacards-m1391
title: WPA household census for 1104 S EASTMAN
DOI: 10.25549/wpacards-m1392
title: WPA household census for 1100 S EASTMAN
DOI: 10.25549/wpacards-m1393
title: WPA household census for 1050 S EASTMAN
DOI: 10.25549/wpacards-m1394
title: WPA household census for 1048 S EASTMAN
DOI: 10.25549/wpacards-m1395
title: WPA household census for 1044 S EASTMAN
DOI: 10.25549/wpacards-m1396
title: WPA household census for 1040 S EASTMAN
DOI: 10.25549/wpacards-m1397
title: WPA household census for 1036 S EASTMAN
DOI: 10.25549/wpacards-m1399
title: WPA household census for 1028 S EASTMAN
DOI: 10.25549/wpacards-m1400
title: WPA household census for 1024 S EASTMAN
DOI: 10.25549/wpacards-m1401
title: WPA household census for 1020 S EASTMAN
DOI: 10.25549/wpacards-m1402
title: WPA household census for 1016 S EASTMAN
DOI: 10.25549/wpacards-m1404
title: WPA household census for 1012 S EASTMAN
DOI: 10.25549/wpacards-m1405
title: WPA household census for 1008 S EASTMAN
DOI: 10.25549/wpacards-m1406
title: WPA household census for 1006 S GAGE
DOI: 10.25549/wpacards-m1407
title: WPA household census for 1004 S EASTMAN
DOI: 10.25549/wpacards-m1408
title: WPA household census for 1002 S EASTMAN
DOI: 10.25549/wpacards-m1409
title: WPA household census for 1002 S EASTMAN
DOI: 10.25549/wpacards-m1410
title: WPA household census for 1000 S EASTMAN
DOI: 10.25549/wpacards-m1411
title: WPA household census for 1000 S EASTMAN
DOI: 10.25549/wpacards-m1412
title: WPA household census for 948 S EASTMAN
DOI: 10.25549/wpacards-m1413
title: WPA household census for 946 S EASTMAN
DOI: 10.48370/ofd/vin7aa/ttohzv
title: Phragmidium fragariae (de Candolle) Rabenhorst F-2567.tif

description: :unav
DOI: 10.25549/wpacards-m1414
title: WPA household census for 946 S EASTMAN
DOI: 10.48370/ofd/vin7aa
title: Phragmidium fragariae (de Candolle) Rabenhorst, 2567

description: Fungarium Micromycetes
DOI: 10.25549/wpacards-m1415
title: WPA household census for 942 S EASTMAN
DOI: 10.25549/wpacards-m1416
title: WPA household census for 938 S EASTMAN
DOI: 10.25549/wpacards-m1417
title: WPA household census for 938 S EASTMAN
DOI: 10.25549/wpacards-m1418
title: WPA household census for 934 S EASTMAN
DOI: 10.48370/ofd/xap245/i0aqpc
title: Phragmidium fragariae (de Candolle) Rabenhorst F-0288.tif

description: :unav
DOI: 10.25549/wpacards-m1419
title: WPA household census for 930 S EASTMAN
DOI: 10.48370/ofd/xap245
title: Phragmidium fragariae (de Candolle) Rabenhorst, 288

description: Fungarium Micromycetes
DOI: 10.25549/wpacards-m1422
title: WPA household census for 922 S EASTMAN
DOI: 10.25549/wpacards-m1423
title: WPA household census for 914 S EASTMAN
DOI: 10.25549/wpacards-m24807
title: WPA block face card for household census of Whittier, Herbert, Gage Streets in Los Angeles County (East Los Angeles)
DOI: 10.25549/wpacards-m1424
title: WPA household census for 4036 WHITTIER
DOI: 10.25549/wpacards-m1425
title: WPA household census for 4052 WHITTIER
DOI: 10.48370/ofd/nvmpto/b6uyio
title: Phragmidium fragariae (de Candolle) Rabenhorst F-3238.tif

description: :unav
DOI: 10.25549/wpacards-m1426
title: WPA household census for 913 S HERBERT
DOI: 10.48370/ofd/nvmpto
title: Phragmidium fragariae (de Candolle) Rabenhorst, 3238

description: Fungarium Micromycetes
DOI: 10.25549/wpacards-m1427
title: WPA household census for 915 S HERBERT
DOI: 10.25549/wpacards-m1428
title: WPA household census for 923 S HERBERT
DOI: 10.25549/wpacards-m1429
title: WPA household census for 921 S HERBERT
DOI: 10.48370/ofd/ujgy5y/cpfruh
title: Phragmidium fragariae (de Candolle) Rabenhorst F-0289.tif

description: :unav
DOI: 10.25549/wpacards-m1430
title: WPA household census for 921 S HERBERT
DOI: 10.25549/wpacards-m1431
title: WPA household census for 923 S HERBERT
DOI: 10.48370/ofd/ujgy5y
title: Phragmidium fragariae (de Candolle) Rabenhorst, 289

description: Fungarium Micromycetes
DOI: 10.25549/wpacards-m1432
title: WPA household census for 925 S HERBERT
DOI: 10.25549/wpacards-m1433
title: WPA household census for 927 S HERBERT
DOI: 10.25549/wpacards-m1434
title: WPA household census for 927 S HERBERT
DOI: 10.25549/wpacards-m1435
title: WPA household census for 927 S HERBERT
DOI: 10.25549/wpacards-m1436
title: WPA household census for 929 S HERBERT
DOI: 10.25549/wpacards-m1437
title: WPA household census for 929 S HERBERT
DOI: 10.25549/wpacards-m1438
title: WPA household census for 933 S HERBERT
DOI: 10.25549/wpacards-m1439
title: WPA household census for 933 S HERBERT