cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13768410
title: iRead4Skills Dataset 1: corpora by complexity level for FR, PT and SP

description: The iRead4Skills Dataset 1: corpora by level of complexity for FR, PT and SP is a collection of written texts of several genres and levels of complexity, in txt format, compiled under the scope of the project iReadSkills – Intelligent Reading Improvement System for Fundamental and Transversal Skills Development. The project, funded by the European Commission (grant number: 1010094837) aims to improve reading skills in the adult population by creating an intelligent system that assesses text complexity and suggests appropriate reading materials to adults with low literacy skills, contributing to reducing skills gaps and to provide access to information and culture (https://iread4skills.com/).  

The compilation of this first dataset was based on the complexity levels established as relevant for the project (Very Easy (approx. A1), Easy (approx. A2) and Plain (approx. B1) and on the expected needs of learners and trainers. For some genres, there are also texts of a more complex level. The data will provide the basis for the training and test sets for the complexity analysis systems for the three languages of the project: French, Portuguese, and Spanish. The dataset will be further enhanced, validated, and annotated by end-users, originating forthcoming versions and a second, derived, dataset.

The resource is composed of three sub corpora: French, Portuguese and Spanish.  

Each of the sub corpora considers different complexity levels and covers texts from the following communication domains:

01_personal communication

02_institutional/professional communication

03_social media

04_commercial communication/dissemination

05_non-fiction book

06_fiction book

07_didactic book

08_academic/school

09_political communication/dissemination

10_legal documentation

11_religious texts/dissemination

 

French corpus:  

Number of texts: 2 199

Number of tokens: 530 298

 

Spanish corpus:

Number of texts: 2 533

Number of tokens:  960 644

 

Portuguese corpus:

Number of texts: 2 933

Number of tokens: 946 131

 

More information about the corpus constitution and text samples is available at  https://iread4skills.com/tools-resources/ D3.3 Data set 1: corpora by level of complexity FR, PT and SP.
DOI: 10.5281/zenodo.13768477
title: iRead4Skills Dataset 1: corpora by complexity level for FR, PT and SP

description: The iRead4Skills Dataset 1: corpora by level of complexity for FR, PT and SP is a collection of written texts of several genres and levels of complexity, in txt format, compiled under the scope of the project iReadSkills – Intelligent Reading Improvement System for Fundamental and Transversal Skills Development. The project, funded by the European Commission (grant number: 1010094837) aims to improve reading skills in the adult population by creating an intelligent system that assesses text complexity and suggests appropriate reading materials to adults with low literacy skills, contributing to reducing skills gaps and to provide access to information and culture (https://iread4skills.com/).  

The compilation of this first dataset was based on the complexity levels established as relevant for the project (Very Easy (approx. A1), Easy (approx. A2) and Plain (approx. B1) and on the expected needs of learners and trainers. For some genres, there are also texts of a more complex level. The data will provide the basis for the training and test sets for the complexity analysis systems for the three languages of the project: French, Portuguese, and Spanish. The dataset will be further enhanced, validated, and annotated by end-users, originating forthcoming versions and a second, derived, dataset.

The resource is composed of three sub corpora: French, Portuguese and Spanish.  

Each of the sub corpora considers different complexity levels and covers texts from the following communication domains:

01_personal communication

02_institutional/professional communication

03_social media

04_commercial communication/dissemination

05_non-fiction book

06_fiction book

07_didactic book

08_academic/school

09_political communication/dissemination

10_legal documentation

11_religious texts/dissemination

 

French corpus:  

Number of texts: 2 199

Number of tokens: 530 298

 

Spanish corpus:

Number of texts: 2 533

Number of tokens:  960 644

 

Portuguese corpus:

Number of texts: 2 933

Number of tokens: 946 131

 

More information about the corpus constitution and text samples is available at  https://iread4skills.com/tools-resources/ D3.3 Data set 1: corpora by level of complexity FR, PT and SP.
DOI: 10.15468/dl.35jwt6
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-64.35616 -15.03682,-64.35616 -15.03682,-65.1771 -29.67091,-52.9133 -30.35196,-49.71936 -15.03682,-64.35616 -15.03682))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aphyocharax nattereri (Steindachner, 1882)"
 ]
}

 The dataset includes 167 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017570-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/92d4d681-06c9-421a-a859-ffedb93a9544
title: Contaminants: Heavy metals - Cadmium (measurements percentages), v2023
title: Contaminants: Heavy metals - Cadmium (measurements percentages), v2023

description: This product displays for Cadmium, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.11583/dtu.24991326
title: Data for: "Connectivity between Siberian river runoff and the lower limb of the Atlantic Meridional Overturning Circulation"

description: This dataset consists of hydrographic data collected across the northern Labrador Sea as part of the Davis Strait Program in October 2022. The dataset includes profiles of, temperature, salinity, oxygen, dissolved organic matter fluorescence and derived variables.
DOI: 10.13120/4f7b2858-1e82-4796-b85f-5cca70e4e82a
title: Contaminants: Heavy metals - Mercury (measurements percentages), v2023
title: Contaminants: Heavy metals - Mercury (measurements percentages), v2023

description: This product displays for Mercury, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.5281/zenodo.13768450
title: Friction over GBs
DOI: 10.5281/zenodo.13768451
title: Friction over GBs
DOI: 10.13120/c9a1c719-2aa7-408c-8831-ed9d3f71031d
title: Contaminants: Pesticides and biocides - Hexachlorobenzene (measurements percentages), v2023
title: Contaminants: Pesticides and biocides - Hexachlorobenzene (measurements percentages), v2023

description: This product displays for Hexachlorobenzene, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.5281/zenodo.13755207
title: HRDIC and EBSD data for the study of early stage plasticity of a Ni-base superalloy

description: We used High-Resolution Digital Image Correlation (HRDIC) to study the strain localisation and slip activity of a Ni-base superalloy sample, which was subjected to an in-situ tensile test inside a scanning electron microscope (SEM). 

Displacement data for HRDIC were calculated using two methods: the integrated method, which correlates with the initial reference frame, and the differential method, which correlates with the previous step. Both datasets are available and saved in separate folders in the .zip file named 'HRDIC and EBSD data'.

EBSD data for the region of interest (ROI) can be found in the same .zip file along with a Jupyter Notebook to read and visualise to both datasets.
DOI: 10.13120/a94a4c8e-7b69-4dab-96e6-77a51e0f5f2a
title: Contaminants: Pesticides and biocides - DDT-DDE-DDD (measurements percentages), v2023
title: Contaminants: Pesticides and biocides - DDT-DDE-DDD (measurements percentages), v2023

description: This product displays for DDT, DDE, and DDD, positions with percentages of all available data values per group of animals that are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/d3cf4522-9ba7-4cf0-9cc1-8a93ce6531e3
title: Contaminants: Antifoulants - Triphenyltin (measurements counts) All Years, v2023
title: Contaminants: Antifoulants - Triphenyltin (measurements counts) All Years, v2023

description: This product displays for Triphenyltin, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/4b01a769-736e-4e83-af2f-972ca6de8d6f
title: Contaminants: Antifoulants - Tributyltin (measurements counts) All Years, v2023
title: Contaminants: Antifoulants - Tributyltin (measurements counts) All Years, v2023

description: This product displays for Tributyltin, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.6084/m9.figshare.27037327
title: Gene annotation files of Matricaria chamomilla

description: Gene annotation files of Matricaria chamomilla.
DOI: 10.3886/e207202v2
title: Numerical Identification Files (NUMIDENT), 1936–2007

description: This series contains records for every Social Security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007. There are three types of entries in NUMIDENT: application (SS-5), claim, and death records. A NUMIDENT record may contain more than one entry.
<br><br>Information contained in NUMIDENT records includes: each applicant's full name, SSN, date of birth, place of birth, citizenship, sex, father's name, mother's maiden name, and race/ethnic description (optional). NUMIDENT includes information regarding any subsequent changes made to the applicant's record, including name changes and life or death claims.
<br><br>The death records in NUMIDENT do not include any State reported deaths in accordance with the Social Security Act section 205(r). There are 72,182,729 SS-5 records entries; 25,230,486 claim record entries; and 49,459,293 death record entries.<br><br>Visit https://catalog.archives.gov/id/12004494 for more information.<br><br>Visit the CenSoc Project for public micro datasets linked to NUMIDENT: https://censoc.berkeley.edu/.<br><br>Please adhere to the citation and data usage guidelines when using this dataset. See the included LICENSE.txt and README.md files for details. <br>
description: This series contains records for every social security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007.
description: The agency created and maintained these records for the purpose of tracking the earnings of U.S. workers and determining benefit entitlements as established under the Social Security Act of 1935.<br><br>See https://catalog.archives.gov/id/12004494 for more information.
DOI: 10.3886/e207202v3
title: Numerical Identification Files (NUMIDENT), 1936–2007

description: <b><br>Description:</b><br><br>This data deposit contains the Numerical Identification Death Files (National Archives Identifier 23845618), the NUMIDENT SS-5 Application Files (National Archives Identifier 23845613), the NUMIDENT Claims Files (National Archives Identifier 23852747), and the associated technical documentation. <br><br><b>Data Acquisition:</b><br><br>These files were e-delivered to Anthony Wray via secure link by the Electronic Records Division of the National Archives and Records Administration (NARA) on 17 October 2019, as per a digitized reproduction order (Quote QO1-525370500 and Quote QO1-528389077). The packing slip is included in the data deposit (docs/Packing Slip.PDF).<br><br><b>Rights to Publish:</b><br><br>The data are in the public domain, as confirmed by emails received from NARA on 28 December 2023 and 3 January 2024 (see docs/permission_to_publish_email.pdf).<br><b>How to Cite: <br></b><br>Please adhere to the citation and data usage guidelines when using this dataset. See the included LICENSE.txt and README.md files for details. <br><br><b>Details:</b><br><br>The Numerical Identification Files (NUMIDENT), 1936–2007, series contains records for every Social Security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007. There are three types of entries in NUMIDENT: application (SS-5), claim, and death records. A NUMIDENT record may contain more than one entry.
<br><br>Information contained in NUMIDENT records includes: each applicant's full name, SSN, date of birth, place of birth, citizenship, sex, father's name, mother's maiden name, and race/ethnic description (optional). NUMIDENT includes information regarding any subsequent changes made to the applicant's record, including name changes and life or death claims.
<br><br>The death records in NUMIDENT do not include any State reported deaths in accordance with the Social Security Act section 205(r). There are 72,182,729 SS-5 records entries; 25,230,486 claim record entries; and 49,459,293 death record entries.<br><br>See https://catalog.archives.gov/id/12004494 for more information.<br><br><b>Related Data:<br></b><br>Visit the CenSoc Project for public micro datasets linked to NUMIDENT: https://censoc.berkeley.edu/.<br><br><br>
description: This series contains records for every social security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007.
description: The agency created and maintained these records for the purpose of tracking the earnings of U.S. workers and determining benefit entitlements as established under the Social Security Act of 1935.<br><br>See https://catalog.archives.gov/id/12004494 for more information.
DOI: 10.13120/81d31ed9-c003-435c-8a68-12f103f6b8fa
title: Contaminants: Hydrocarbons (PAH) - Anthracene (measurements counts) All Years, v2023
title: Contaminants: Hydrocarbons (PAH) - Anthracene (measurements counts) All Years, v2023

description: This product displays for Anthracene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/3e65843e-4dd1-4a6c-be52-5fed8c73c542
title: Contaminants: Hydrocarbons (PAH) - Naphthalene (measurements counts) All Years, v2023
title: Contaminants: Hydrocarbons (PAH) - Naphthalene (measurements counts) All Years, v2023

description: This product displays for Naphthalene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.15468/dl.5b8cu3
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-64.35616 -15.03682,-64.35616 -15.03682,-65.1771 -29.67091,-52.9133 -30.35196,-49.71936 -15.03682,-64.35616 -15.03682))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prionobrama paraguayensis (Eigenmann, 1914)"
 ]
}

 The dataset includes 139 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017572-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpxwsk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros durionoides Bakh."
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017573-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2spat
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-16.67897 11.85786,-14.57766 11.56875,-12.10687 11.17342,-10.72322 12.45823,-10.92089 16.115,-12.40336 17.59748,-15.5104 17.50624,-17.0917 16.51793,-18.37652 15.52961,-16.67897 11.85786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saba senegalensis (A.DC.) Pichon"
 ]
}

 The dataset includes 145 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017574-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/e34dd158-15a0-45ca-b087-4c50e2a7db30
title: Contaminants: Hydrocarbons (PAH) - Benzo(a)pyrene (measurements counts) All Years, v2023
title: Contaminants: Hydrocarbons (PAH) - Benzo(a)pyrene (measurements counts) All Years, v2023

description: This product displays for Benzo(a)pyrene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/76e745b5-f4cd-4c5c-b4c3-6dacec813719
title: Contaminants: Hydrocarbons (PAH) - Fluoranthene (measurements counts) All Years, v2023
title: Contaminants: Hydrocarbons (PAH) - Fluoranthene (measurements counts) All Years, v2023

description: This product displays for Fluoranthene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/a7b9558a-5003-4bb1-a868-1c235f29231c
title: Contaminants: Heavy metals - Nickel (measurements counts) All Years, v2023
title: Contaminants: Heavy metals - Nickel (measurements counts) All Years, v2023

description: This product displays for Nickel, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.15468/dl.r4n9s5
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Algeria",
 "TaxonKey is Emberiza hortulana Linnaeus, 1758"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004446-240216155721649/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.27021139
title: Data for the manuscript: Microtubule polymerization drives formationof curved microtentacles important in circulating tumor cell invasion.

description: Data for the manuscript: Microtubule polymerization drives formationof curved microtentacles important in circulating tumor cell invasion.
DOI: 10.13120/61759a18-c6e0-4cbc-b701-3367e6d22b39
title: Contaminants: Heavy metals - Lead (measurements counts) All Years, v2023
title: Contaminants: Heavy metals - Lead (measurements counts) All Years, v2023

description: This product displays for Lead, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.15468/dl.m44tjm
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tityus serrulatus Lutz & Mello, 1922"
 ]
}

 The dataset includes 296 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017576-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm4n76
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Piratinera guianensis Aubl."
 ]
}

 The dataset includes 48 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017577-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/42ef0272-f966-406e-9592-7f5b16eadfad
title: Contaminants: Heavy metals - Cadmium (measurements counts) All Years, v2023
title: Contaminants: Heavy metals - Cadmium (measurements counts) All Years, v2023

description: This product displays for Cadmium, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/0a066e80-acb3-41a0-9184-666e5a657140
title: Contaminants: Heavy metals - Mercury (measurements counts) All Years, v2023
title: Contaminants: Heavy metals - Mercury (measurements counts) All Years, v2023

description: This product displays for Mercury, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.13120/ae16636c-1b25-41ba-b8ec-003c48cc8bb5
title: Contaminants: Pesticides and biocides - Hexachlorobenzene (measurements counts) All Years, v2023
title: Contaminants: Pesticides and biocides - Hexachlorobenzene (measurements counts) All Years, v2023

description: This product displays for Hexachlorobenzene, positions with values counts that have been measured per matrix and are present in EMODnet regional contaminants aggregated datasets, v2022. The product displays positions for all available years.
DOI: 10.15468/dl.b38sxr
title: Occurrence Download

description: A dataset containing 1158285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.13_1",
 "Year 2019-2024"
 ]
}

 The dataset includes 1158285 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017552-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9xffa
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-64.35616 -15.03682,-64.35616 -15.03682,-65.1771 -29.67091,-52.9133 -30.35196,-49.71936 -15.03682,-64.35616 -15.03682))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Odontostilbe paraguayensis Eigenmann & Kennedy, 1903"
 ]
}

 The dataset includes 140 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017578-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.