cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48331/scielodata.it9vip
title: Data for: REBEn-2024-0464: Abordagem lúdica da hanseníase através de histórias em quadrinhos

description: Essa História em Quadrinhos (HQ) sobre a hanseníase, é voltada para profissionais da Atenção Primária à Saúde, em especial Enfermeiros e Enfermeiras. Visando transformar a complexidade do conhecimento técnico-científico em uma abordagem leve, criativa e eficaz para a formação desses profissionais.

A HQ está dividida nos seguintes capítulos:

Capítulo 1 - O enigma da hanseníase;
Capítulo 2 - A busca por conhecimento: uma grata supresa!
Capítulo 3 - Desvendando a história;
Capítulo 4 - Explorando a doença, seus sinais e sintomas;
Capítulo 5 - O diagnóstico;
Capítulo 6 - Formas clínicas;
Capítulo 7 - Tratamento;
Capítulo 8 - Vulnerabilidade.
DOI: 10.15468/dl.vdnuag
title: Occurrence Download

description: A dataset containing 857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((152.657832 -30.159522, 152.609441 -30.109193, 152.545172 -30.109193, 152.593542 -30.159522, 152.657832 -30.159522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 857 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041900-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76jg7s
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Samanea saman"
 ]
}

 The dataset includes 96 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041901-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sspf6s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manayunkia cursoria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041899-251120083545085/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.30840677
title: Aotearoa OER indigenising data

description: Examines how university libraries in Aotearoa New Zealand support the indigenisation of collections through open educational resources (OER). Using qualitative content analysis of resources from university websites, the study reviewed OER policies and documentation, focusing on libraries’ roles in these initiatives.
DOI: 10.6084/m9.figshare.30840677.v1
title: Aotearoa OER indigenising data

description: Examines how university libraries in Aotearoa New Zealand support the indigenisation of collections through open educational resources (OER). Using qualitative content analysis of resources from university websites, the study reviewed OER policies and documentation, focusing on libraries’ roles in these initiatives.
DOI: 10.3886/icpsr39468
title: Eviction Moratoria and Housing Policy: Federal, State, Commonwealth, and Territory, [United States], 2020-2022
title: Archival Version

description: Researchers employed longitudinal policy surveillance to comprehensively describe state responses to the eviction crisis resulting from the emergence of the COVID-19 pandemic and continuing through the end of substantive state intervention. The study relied on an exhaustive collection of all emergency orders and legislation that controlled the eviction process, related to protections under federal moratoria, or provided support to tenants and that were issued by state governors, courts, and legislative bodies between March 13, 2020 and March 1, 2022. Researchers developed a dynamic, novel dataset consisting of over 50 indicators which captured the temporal and substantive features of these moratoria and renter-supportive measures. To confirm that the dataset was complete, researchers provided state governors and court officials with lists of collected orders from their states and incorporated any needed additions. From this validated dataset, researchers created a time series cross-sectional dataset that tracked changes in a state's overall eviction moratoria and supportive measures over time.
description: Dataset 1 (Moratoria Dataset) contains variables on protections under federal moratoria related to eviction during COVID-19.
Dataset 2 (Supportive Measures Dataset) contains variables on supportive measures for tenants such as utilities shutoff moratoriums, reporting bans, grace periods, late fee bans, rent raises, and other variables.
description: Datasets: 
DS0: Study-Level Files
DS1: Moratoria Dataset
DS2: Supportive Measures Dataset
description: Smallest Geographic Unit: State
description: This study is a curated version of a study on OpenICPSR. For more information, please visit the study page on the OpenICPSR website.For a complete description of the variables tracked, please see the codebooks included with the dataset.
DOI: 10.3886/icpsr39468.v1
title: Eviction Moratoria and Housing Policy: Federal, State, Commonwealth, and Territory, [United States], 2020-2022
title: Version 1

description: Researchers employed longitudinal policy surveillance to comprehensively describe state responses to the eviction crisis resulting from the emergence of the COVID-19 pandemic and continuing through the end of substantive state intervention. The study relied on an exhaustive collection of all emergency orders and legislation that controlled the eviction process, related to protections under federal moratoria, or provided support to tenants and that were issued by state governors, courts, and legislative bodies between March 13, 2020 and March 1, 2022. Researchers developed a dynamic, novel dataset consisting of over 50 indicators which captured the temporal and substantive features of these moratoria and renter-supportive measures. To confirm that the dataset was complete, researchers provided state governors and court officials with lists of collected orders from their states and incorporated any needed additions. From this validated dataset, researchers created a time series cross-sectional dataset that tracked changes in a state's overall eviction moratoria and supportive measures over time.
description: Dataset 1 (Moratoria Dataset) contains variables on protections under federal moratoria related to eviction during COVID-19.
Dataset 2 (Supportive Measures Dataset) contains variables on supportive measures for tenants such as utilities shutoff moratoriums, reporting bans, grace periods, late fee bans, rent raises, and other variables.
description: Datasets: 
DS0: Study-Level Files
DS1: Moratoria Dataset
DS2: Supportive Measures Dataset
description: Smallest Geographic Unit: State
description: This study is a curated version of a study on OpenICPSR. For more information, please visit the study page on the OpenICPSR website.For a complete description of the variables tracked, please see the codebooks included with the dataset.
DOI: 10.15468/dl.4bgc76
title: Occurrence Download

description: A dataset containing 28323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparisoma radians"
 ]
}

 The dataset includes 28323 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041904-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhwmsk
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((109.985 1.942181, 109.914697 1.936612, 109.846127 1.920045, 109.780978 1.892886, 109.720856 1.855805, 109.667242 1.809716, 109.621456 1.755753, 109.584624 1.695248, 109.557654 1.629689, 109.541209 1.560691, 109.535691 1.489954, 109.541237 1.419219, 109.557708 1.350228, 109.584699 1.284679, 109.621543 1.224186, 109.667333 1.170237, 109.720943 1.124162, 109.781052 1.087094, 109.84618 1.059945, 109.914725 1.043384, 109.985 1.037817, 110.055275 1.043384, 110.12382 1.059945, 110.188948 1.087094, 110.249057 1.124162, 110.302667 1.170237, 110.348457 1.224186, 110.385301 1.284679, 110.412292 1.350228, 110.428763 1.419219, 110.434309 1.489954, 110.428791 1.560691, 110.412346 1.629689, 110.385376 1.695248, 110.348544 1.755753, 110.302758 1.809716, 110.249144 1.855805, 110.189022 1.892886, 110.123873 1.920045, 110.055303 1.936612, 109.985 1.942181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 162 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041905-251120083545085/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.30019534
title: EstIronElectronicSupplements.zip

description: The aim of this study is to answer some of the preliminary questions about the differences in chemical composition of iron smelting slag finds inEstonia. The chemical analyses of smelting slag will allow to establish a production regions reference dataset for further research. Our analysis also includes currency blooms, of which some have been dated to the Estonian Viking Age (800 – 1050) and the Late Iron Age (1050 – 1227). The blooms are examined about their relationships with possible production regions. Using a multi-method analytical approach (SEM-EDS, LA-ICP-MS) and a multivariate data analysis (PCA, AHC and a set of supervised methods) it is argued thatEstoniamost likely had a highly interconnected local exchange with iron between different regions. An existence of exchange centres which specialised in the production of such blooms is also possible. A key methodological finding is that, contrary to results reported in the literature covered in the introduction, there exists a considerable overlap between the discussed production regions. This indicates that even with a large number of samples, chemical elements and sophisticated statistical methods, a perfect separation of production areas may not always be achievable, especially when solely bog ores served as raw material for ironmaking. However, this study demonstrates that despite such a strong overlap of data in the chemical composition of the slags, a successful provenance study of artefacts is still possible.
DOI: 10.6084/m9.figshare.30019534.v2
title: EstIronElectronicSupplements.zip

description: The aim of this study is to answer some of the preliminary questions about the differences in chemical composition of iron smelting slag finds inEstonia. The chemical analyses of smelting slag will allow to establish a production regions reference dataset for further research. Our analysis also includes currency blooms, of which some have been dated to the Estonian Viking Age (800 – 1050) and the Late Iron Age (1050 – 1227). The blooms are examined about their relationships with possible production regions. Using a multi-method analytical approach (SEM-EDS, LA-ICP-MS) and a multivariate data analysis (PCA, AHC and a set of supervised methods) it is argued thatEstoniamost likely had a highly interconnected local exchange with iron between different regions. An existence of exchange centres which specialised in the production of such blooms is also possible. A key methodological finding is that, contrary to results reported in the literature covered in the introduction, there exists a considerable overlap between the discussed production regions. This indicates that even with a large number of samples, chemical elements and sophisticated statistical methods, a perfect separation of production areas may not always be achievable, especially when solely bog ores served as raw material for ironmaking. However, this study demonstrates that despite such a strong overlap of data in the chemical composition of the slags, a successful provenance study of artefacts is still possible.
DOI: 10.6084/m9.figshare.30019534.v3
title: EstIronElectronicSupplements.zip

description: The aim of this study is to answer some of the preliminary questions about the differences in chemical composition of iron smelting slag finds inEstonia. The chemical analyses of smelting slag will allow to establish a production regions reference dataset for further research. Our analysis also includes currency blooms, of which some have been dated to the Estonian Viking Age (800 – 1050) and the Late Iron Age (1050 – 1227). The blooms are examined about their relationships with possible production regions. Using a multi-method analytical approach (SEM-EDS, LA-ICP-MS) and a multivariate data analysis (PCA, AHC and a set of supervised methods) it is argued thatEstoniamost likely had a highly interconnected local exchange with iron between different regions. An existence of exchange centres which specialised in the production of such blooms is also possible. A key methodological finding is that, contrary to results reported in the literature covered in the introduction, there exists a considerable overlap between the discussed production regions. This indicates that even with a large number of samples, chemical elements and sophisticated statistical methods, a perfect separation of production areas may not always be achievable, especially when solely bog ores served as raw material for ironmaking. However, this study demonstrates that despite such a strong overlap of data in the chemical composition of the slags, a successful provenance study of artefacts is still possible.
DOI: 10.17026/ar/06u8jk
title: PAN-00006538 - coin/coin-related, Tetricus I (271-274), naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00006538&lt;/p&gt;
description: Modified: 2025-05-26T08:57:55+02:00
DOI: 10.15468/dl.6rqedx
title: Occurrence Download

description: A dataset containing 19441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalassoma quinquevittatum"
 ]
}

 The dataset includes 19441 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041906-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17872098
title: GSE7904 Expression Data

description: Expression data from human breast tissue.
DOI: 10.5281/zenodo.17872097
title: GSE7904 Expression Data

description: Expression data from human breast tissue.
DOI: 10.15468/dl.hhbyru
title: Occurrence Download

description: A dataset containing 2532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Murdannia simplex",
 "Continent is Africa"
 ]
}

 The dataset includes 2532 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17872051
title: ASIC-RAG-CHIMERA: Hardware-Accelerated Cryptographic Retrieval-Augmented Generation

description: This repository contains the complete implementation of ASIC-RAG-CHIMERA,
        a novel architecture that repurposes obsolete Bitcoin mining ASIC hardware
        for cryptographically-secured Retrieval-Augmented Generation (RAG) systems.

        Key features:
        - SHA-256 hardware acceleration for cryptographic indexing
        - AES-256-GCM encryption for data-at-rest protection
        - Merkle tree verification for blockchain-like integrity
        - 51,319 queries per second throughput
        - 53/53 tests passing
DOI: 10.5281/zenodo.17872052
title: ASIC-RAG-CHIMERA: Hardware-Accelerated Cryptographic Retrieval-Augmented Generation

description: This repository contains the complete implementation of ASIC-RAG-CHIMERA,
        a novel architecture that repurposes obsolete Bitcoin mining ASIC hardware
        for cryptographically-secured Retrieval-Augmented Generation (RAG) systems.

        Key features:
        - SHA-256 hardware acceleration for cryptographic indexing
        - AES-256-GCM encryption for data-at-rest protection
        - Merkle tree verification for blockchain-like integrity
        - 51,319 queries per second throughput
        - 53/53 tests passing
DOI: 10.15468/dl.28ehuq
title: Occurrence Download

description: A dataset containing 38267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sparisoma rubripinne"
 ]
}

 The dataset includes 38267 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041907-251120083545085/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.30834023.v1
title: Tandem repeats of

description: <b>Complete genome sequence of </b><b><i>Streptomyces californicus</i></b><b> ADR1 isolated from </b><b><i>Datura metel</i></b>
DOI: 10.15468/dl.edquh4
title: Occurrence Download

description: A dataset containing 6989 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocnemis expansa"
 ]
}

 The dataset includes 6989 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3ag3g
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Accara elegans"
 ]
}

 The dataset includes 327 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041911-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39362.v1
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2023
title: Version 1

description: The data contain records of defendants in criminal cases filed in United States District Court before or during fiscal year 2023 and still pending as of year-end. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2023
description: Criminal cases filed in United States District Court during fiscal year 2023 and still pending as of year-end.
DOI: 10.15468/dl.daju6w
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((152.679312 -30.134988, 152.630979 -30.084677, 152.566735 -30.084677, 152.615048 -30.134988, 152.679312 -30.134988))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 484 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041912-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39362
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2023
title: Archival Version

description: The data contain records of defendants in criminal cases filed in United States District Court before or during fiscal year 2023 and still pending as of year-end. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: 
DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2023
description: Criminal cases filed in United States District Court during fiscal year 2023 and still pending as of year-end.