cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.egnx3h
title: Occurrence Download

description: A dataset containing 13417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arthrobacter Conn & Dimmick, 1947"
 ]
}

 The dataset includes 13417 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018096-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9a4cr3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dioscorea alata",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027488-250811113504898/datasets/export for details.
DOI: 10.17611/dp/21833277
title: Global ShakeMovie synthetic for March 05, 2024 MW 5.5 QINGHAI, CHINA
DOI: 10.17611/dp/21834199
title: Global ShakeMovie synthetic for March 05, 2024 MW 6.0 MACQUARIE ISLAND REGION
DOI: 10.17611/dp/21836267
title: Global ShakeMovie synthetic for March 07, 2024 MW 5.7 OFF COAST OF COSTA RICA
DOI: 10.17611/dp/21836271
title: Global ShakeMovie synthetic for March 07, 2024 MW 5.6 QINGHAI, CHINA
DOI: 10.17611/dp/21837019
title: Global ShakeMovie synthetic for March 08, 2024 MW 6.0 MINDANAO, PHILIPPINES
DOI: 10.17611/dp/21839475
title: Global ShakeMovie synthetic for March 09, 2024 MW 5.3 FIJI ISLANDS REGION
DOI: 10.17611/dp/21841589
title: Global ShakeMovie synthetic for March 13, 2024 MW 6.0 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/21842337
title: Global ShakeMovie synthetic for March 13, 2024 MW 5.8 SOUTHERN MOLUCCA SEA
DOI: 10.17611/dp/21842341
title: Global ShakeMovie synthetic for March 13, 2024 MW 5.5 WESTERN INDIAN-ANTARCTIC RIDGE
DOI: 10.17611/dp/21842345
title: Global ShakeMovie synthetic for March 14, 2024 MW 5.5 NORTHWESTERN BALKAN REGION
DOI: 10.17611/dp/21843093
title: Global ShakeMovie synthetic for March 14, 2024 MW 6.1 NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21844597
title: Global ShakeMovie synthetic for March 15, 2024 MW 5.7 RYUKYU ISLANDS, JAPAN
DOI: 10.17611/dp/21846290
title: Global ShakeMovie synthetic for March 16, 2024 MW 5.9 MACQUARIE ISLAND REGION
DOI: 10.17611/dp/21846294
title: Global ShakeMovie synthetic for March 17, 2024 MW 5.6 NEAR COAST OF NICARAGUA
DOI: 10.17611/dp/21848477
title: Global ShakeMovie synthetic for March 19, 2024 MW 5.5 PACIFIC-ANTARCTIC RIDGE
DOI: 10.17611/dp/21849588
title: Global ShakeMovie synthetic for March 19, 2024 MW 5.6 PAKISTAN
DOI: 10.17611/dp/21849592
title: Global ShakeMovie synthetic for March 19, 2024 MW 5.6 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21849596
title: Global ShakeMovie synthetic for March 20, 2024 MW 5.6 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21849600
title: Global ShakeMovie synthetic for March 22, 2024 MW 5.6 JAVA SEA
DOI: 10.17611/dp/21849604
title: Global ShakeMovie synthetic for March 22, 2024 MW 6.4 JAVA SEA
DOI: 10.17611/dp/21851553
title: Global ShakeMovie synthetic for March 23, 2024 MW 6.9 NEW GUINEA, PAPUA NEW GUINEA
DOI: 10.17611/dp/21851557
title: Global ShakeMovie synthetic for March 24, 2024 MW 5.7 SAVU SEA
DOI: 10.6084/m9.figshare.29956394
title: <b>A Study on the</b><b> </b><b>Chinese Short Video Users </b><b>about </b><b>Fukushima</b><b> </b><b>Daiichi</b><b> </b><b>Nuclear Water Discharge</b>

description: Explore the relationship between Chinese netizens' negative national sentiments towards Japan, media literacy, risk perception, and seafood consumption intentions.
DOI: 10.6084/m9.figshare.29956394.v1
title: <b>A Study on the</b><b> </b><b>Chinese Short Video Users </b><b>about </b><b>Fukushima</b><b> </b><b>Daiichi</b><b> </b><b>Nuclear Water Discharge</b>

description: Explore the relationship between Chinese netizens' negative national sentiments towards Japan, media literacy, risk perception, and seafood consumption intentions.
DOI: 10.17611/dp/21852711
title: Global ShakeMovie synthetic for March 25, 2024 MW 5.4 NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21852715
title: Global ShakeMovie synthetic for March 25, 2024 MW 5.5 MACQUARIE ISLAND REGION
DOI: 10.17611/dp/21854219
title: Global ShakeMovie synthetic for March 27, 2024 MW 6.4 VANUATU ISLANDS REGION
DOI: 10.17611/dp/21855748
title: Global ShakeMovie synthetic for March 29, 2024 MW 5.8 SOUTHERN GREECE
DOI: 10.5281/zenodo.15054460
title: Low-Redshift Cluster Optical Survey (LOCOS I and II) catalogs: Initial Release

description: Initial release of the LOCOS I and LOCOS II catalogs. The repository will be updated in the future as needed. Synced with Zenodo.
DOI: 10.17611/dp/21855752
title: Global ShakeMovie synthetic for March 29, 2024 MW 5.6 BISMARCK SEA
DOI: 10.17611/dp/21864428
title: Global ShakeMovie synthetic for March 29, 2024 MW 5.5 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21869257
title: Global ShakeMovie synthetic for March 31, 2024 MW 5.9 BALLENY ISLANDS REGION
DOI: 10.17611/dp/21871927
title: Global ShakeMovie synthetic for April 02, 2024 MW 6.2 MARIANA ISLANDS REGION
DOI: 10.17611/dp/21874355
title: Global ShakeMovie synthetic for March 30, 2024 MW 5.8 RAT ISLANDS, ALEUTIAN ISLANDS
DOI: 10.17611/dp/21874359
title: Global ShakeMovie synthetic for March 31, 2024 MW 5.4 FIJI ISLANDS REGION
DOI: 10.17611/dp/21874363
title: Global ShakeMovie synthetic for April 01, 2024 MW 5.9 NEAR EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/21874367
title: Global ShakeMovie synthetic for April 02, 2024 MW 5.3 MARIANA ISLANDS REGION
DOI: 10.17611/dp/21874371
title: Global ShakeMovie synthetic for April 02, 2024 MW 7.4 TAIWAN
DOI: 10.17611/dp/21874375
title: Global ShakeMovie synthetic for April 03, 2024 MW 6.5 TAIWAN
DOI: 10.17611/dp/21876803
title: Global ShakeMovie synthetic for April 04, 2024 MW 6.2 NEAR EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/21876807
title: Global ShakeMovie synthetic for April 05, 2024 MW 6.8 MARIANA ISLANDS
DOI: 10.17611/dp/21876811
title: Global ShakeMovie synthetic for April 05, 2024 MW 5.8 MYANMAR
DOI: 10.17611/dp/21876815
title: Global ShakeMovie synthetic for April 05, 2024 MW 5.6 TONGA ISLANDS
DOI: 10.17611/dp/21876819
title: Global ShakeMovie synthetic for April 05, 2024 MW 4.7 NEW JERSEY
DOI: 10.17611/dp/21899837
title: Global ShakeMovie synthetic for April 06, 2024 MW 5.6 OFF EAST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/21899841
title: Global ShakeMovie synthetic for April 07, 2024 MW 5.5 EAST OF SOUTH SANDWICH ISLANDS
DOI: 10.15468/dl.bj4tr7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protura",
 "Year 2017-2019",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049979-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15571934
title: Polígonos de edificações extraídos para o município de Pelotas/RS

description: Polígonos das edificações - Open Buildings V3 Polygons. Disponível em: https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons. Os dados originais foram tratados para disponibilização em arquivo vetorial por: Alice Rauber. 

 

Sobre os dados originais:

Esse conjunto de dados aberto em grande escala consiste em contornos de edifícios derivados de imagens de satélite de 50 cm em alta resolução. Ele contém 1,8 bilhão de detecções de edifícios na África, América Latina, Caribe, Ásia do Sul e Sudeste Asiático. A inferência abrangeu uma área de 58 milhões de km².

Para cada edifício neste conjunto de dados, incluímos o polígono que descreve o impacto no terreno, uma pontuação de confiança indicando a certeza de que este é um edifício e um Plus Code correspondente ao centro do edifício. Não há informações sobre o tipo de prédio, o endereço ou qualquer detalhe além da geometria.

A inferência foi realizada em maio de 2023.

Para mais detalhes, consulte o site oficial do conjunto de dados do Open Buildings.

 

==> Dicionário de dados:

area_in_meters:    Área em metros quadrados do polígonoconfidence: Pontuação de confiança [0,65;1,0] atribuída pelo modelofull_plus_code: O Plus Code completo no centro do polígono do edifíciolongitude_latitude: Centroide do polígono
DOI: 10.5281/zenodo.15571935
title: Polígonos de edificações extraídos para o município de Pelotas/RS

description: Polígonos das edificações - Open Buildings V3 Polygons. Disponível em: https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings_v3_polygons. Os dados originais foram tratados para disponibilização em arquivo vetorial por: Alice Rauber. 

 

Sobre os dados originais:

Esse conjunto de dados aberto em grande escala consiste em contornos de edifícios derivados de imagens de satélite de 50 cm em alta resolução. Ele contém 1,8 bilhão de detecções de edifícios na África, América Latina, Caribe, Ásia do Sul e Sudeste Asiático. A inferência abrangeu uma área de 58 milhões de km².

Para cada edifício neste conjunto de dados, incluímos o polígono que descreve o impacto no terreno, uma pontuação de confiança indicando a certeza de que este é um edifício e um Plus Code correspondente ao centro do edifício. Não há informações sobre o tipo de prédio, o endereço ou qualquer detalhe além da geometria.

A inferência foi realizada em maio de 2023.

Para mais detalhes, consulte o site oficial do conjunto de dados do Open Buildings.

 

==> Dicionário de dados:

area_in_meters:    Área em metros quadrados do polígonoconfidence: Pontuação de confiança [0,65;1,0] atribuída pelo modelofull_plus_code: O Plus Code completo no centro do polígono do edifíciolongitude_latitude: Centroide do polígono
DOI: 10.15468/dl.m3gatw
title: Occurrence Download

description: A dataset containing 8584506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 8584506 records from 519 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022045-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzh3nn
title: Occurrence Download

description: A dataset containing 1882 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pittocaulon praecox (Cav.) H.Rob. & Brettell"
 ]
}

 The dataset includes 1882 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022054-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzedne
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinus carpio Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022056-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nh88f6
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Nepal, Bhutan, Bangladesh, Pakistan, China, India, Myanmar, Afghanistan)",
 "TaxonKey is Bibasis sena (Moore, 1865)"
 ]
}

 The dataset includes 94 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022057-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yse743
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cenostigma nordestinum Gagnon & G.P.Lewis"
 ]
}

 The dataset includes 282 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018099-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/al9r4o
title: R scripts for Novack-Gottshall, et al., 2022 (Nature Ecology & Evolution)

description: R code used to process and analyze data, including new and modified functions and code used to create figures. More recent changes may be found at GitHub (https://github.com/pnovack-gottshall/CamOrdEchinos).
DOI: 10.7910/dvn/aio5br
title: Replication Data for: Design and Analysis of the Randomized Response Technique

description: About a half century ago, Warner (1965) proposed the randomized response method as a survey technique to reduce potential bias due to non-response and social desirability when asking questions about sensitive behaviors and beliefs. This method asks respondents to use a randomization device, such as a coin flip, whose outcome is unobserved by the interviewer. By introducing random noise, the method conceals individual responses and protects respondent privacy. While numerous methodological advances have been made, we find surprisingly few applications of this promising survey technique. In this paper, we address this gap by (1) reviewing standard designs available to applied researchers, (2) developing various multivariate regression techniques for substantive analyses, (3) proposing power analyses to help improve research designs, (4) presenting new robust designs that are based on less stringent assumptions than those of the standard designs, and (5) making all described methods available through open-source software. We illustrate some of these methods with an original survey about militant groups in Nigeria.
DOI: 10.7910/dvn/agjpzh
title: eirasagree, R package

description: The Bland and Altman plot method is a widely cited and applied graphical approach to assess the equivalence of quantitative measurement techniques, usually aiming to replace a traditional technique with a new, less invasive or less expensive one. However, the Bland and Altman plot is often misinterpreted due to a lack of suitable inferential statistical support. Usual alternatives, such as Pearson's correlation or ordinal least-square linear regression, also fail to identify the weaknesses of each measurement technique.&lt;br&gt;
&lt;br&gt;
This is a package designed for the analysis of equivalence between measurement techniques. It should be noted that this package does not introduce another iteration of the Bland-Altman plot method. The package's name and our intention were simply inspired by the shared objective of establishing equivalence. This objective revolves around comparing single or repeated interval-scaled measures from two measurement techniques applied to the same subjects. We have developed a completely different inferential test in contrast to the original Bland-Altman proposal. We have highlighted certain criticisms of the original Bland-Altman plot method, which heavily relies on visual inspection and subjectivity for determining equivalence. Our goal is to empower the reader to make an informed decision regarding the validity of this new measurement technique.&lt;br&gt;
&lt;br&gt;
Here, inferential statistics support for equivalence between measurement techniques is proposed in three nested tests based on structural regressions to assess the equivalence of structural means (accuracy), equivalence of structural variances (precision), and concordance with the structural bisector line (agreement in measurements obtained from the same subject), by analytical methods and robust approach by bootstrapping. Graphical outputs are also implemented to follow Bland and Altman's principles for easy communication.&lt;br&gt;
&lt;br&gt;
The related publication shows that this approach was tested on five datasets from articles that used Bland and Altman's method. In one case, where authors concluded disagreement, the approach identified equivalence by addressing bias correction. In another case, it aligned with the original assessment but refined the original authors’ results. In a specific case, unnecessary numerical transformations led to a conclusion of equivalence, but this approach, which naturally generates slanted bands, found non-equivalence in precision and agreement. In one case where authors claimed disagreement, the approach revealed precision issues, rendering the comparison invalid.
DOI: 10.7910/dvn/agimgy
title: Replication Data for: Of Two Minds, But One Heart: A Good “Gut” Feeling Moderates the Effect of Ambivalence on Attitude Formation and Turnout

description: Popular psychological accounts argue that successful candidates address their appeals to citizens’ “hearts” rather than their “heads.” Yet research on campaigns shows that candidates win elections by getting voters to think about particular issues—especially issues that create ambivalence in the minds of opposition supporters. This paper helps to reconcile these “heart-centered” and “head-centered” accounts of preference formation during campaigns. An original experiment and ANES data analyses (1980-2004) show that a “good gut feeling” toward a candidate helps citizens to overcome the paralyzing effect of ambivalence on attitude formation and turnout. And, since turnout is most tenuous among those with lower income, this is where the effect is most pronounced. Since Democratic candidates rely disproportionately on support from these lower income voters, it is particularly important that they inspire positive affect among latent supporters.
description: This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. 

<br>
The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.<br>
DOI: 10.15468/dl.yyzr3n
title: Occurrence Download

description: A dataset containing 749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea abysmophila Maguire & Steyerm., Dioscorea acanthogene Rusby, Dioscorea acerifolia Phil., Dioscorea acuminata Baker, Dioscorea adenantha Uline)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 749 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018100-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/akqn5b
title: Replication data for: Nonparametric IV Methods for Dynamic Treatment Evaluation

description: van den Berg, Gerard J., Bonev, Petyo, and Mammen, Enno, (2020) “Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation.” Review of Economics and Statistics 102:2, 355–367.
description: Volume XX, Issue X
DOI: 10.35111/a8jn-8696
title: MATERIAL Georgian-English Language Pack

description: <h3>Introduction</h3>
<p>MATERIAL Georgian-English Language Pack was developed by <a href="http://www.appen.com/">Appen</a> for the IARPA (Intelligence Advanced Research Projects Activity) <a href="https://www.iarpa.gov/index.php/research-programs/material">MATERIAL</a> (Machine Translation for English Retrieval of Information in Any Language) program. It contains approximately 79 hours of Georgian conversational telephone speech, transcripts, English translations, annotations and queries.</p>
<p>The MATERIAL program focused on underserved languages with the ultimate goal to build cross language information retrieval systems to find speech and text content using English search queries.</p>
<h3>Data</h3>
<p>The Georgian speech in this release represents that spoken in the Eastern and Western dialect regions of Georgia. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 75 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.</p>
<p>Transcripts cover approximately half of the speech data, and approximately 3% of the speech data was translated into English. Further information about transcription and translation methodologies is contained in the documentation accompanying this release.</p>
<p>Georgian-English Language Pack also includes English queries and their relevance annotations. Annotators marked transcripts by query (simple, conceptual, hybrid) and by their relevance to query search terms.</p>
<p>Speech data is presented mostly as two channel wav or single channel sphere files, both in 8kHz A-law format. Some wav files are 48kHz PCM. All text data is UTF-8 encoded.</p>