cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/bjf498
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174787) deployed in the Bering Sea from 2018-04-10 to 2018-06-10, deployment id 5acc409ec820f75a17672e93

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174787) deployed in the Bering Sea from 2018-04-10 to 2018-06-10, deployment id 5acc409ec820f75a17672e93 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305764. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.tx4eyu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elettaria cardamomum",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033895-250920141307145/datasets/export for details.
DOI: 10.15468/mkqq3w
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174790) deployed in the Bering Sea from 2018-04-18 to 2018-05-27, deployment id 5ad6e751c820f741b36d9f93

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174790) deployed in the Bering Sea from 2018-04-18 to 2018-05-27, deployment id 5ad6e751c820f741b36d9f93 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305767. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.d8zpxh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elettaria cardamomum",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033897-250920141307145/datasets/export for details.
DOI: 10.15468/dl.8zsdwd
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (August, July, June, May, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Geositta antarctica",
 "Year 1970-2025"
 ]
}

 The dataset includes 558 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033894-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/df4rfh
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174805) deployed in the Bering Sea from 2018-04-20 to 2018-05-23, deployment id 5ad985c001fbb064566d8599

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174805) deployed in the Bering Sea from 2018-04-20 to 2018-05-23, deployment id 5ad985c001fbb064566d8599 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305768. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.prcnz5
title: Occurrence Download

description: A dataset containing 2592699 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 2592699 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033883-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13755902
title: Open-Set Tagging Dataset (OST)

description: Open-set Tagging (OST) is a synthetic dataset of 1s clips used to evaluate source-centric representation learning models in the paper Compositional Audio Representation Learning.

Due to the size of the dataset, we only share the source files, and provide the scripts to generate the dataset are available here.The dataset generation process is as follows:1. From single-source FSD50K audio files, we generate a dataset of 10s soundscapes called Open-set Soundscapes (OSS) using Scaper.

2. We then center a 1s window around the center of each sound event in the 10s soundscapes to generate Open-set Tagging (OST), which contains ~500k clips. 

If you are not going to use OSS, you can choose to synthesize it without audio-- this will synthesize only the JAMS annotation files needed for the 1s clips. Using the OSS JAMS files, OST clips can be generated deterministically.

There are five dataset variants (~17GB each), each with a different random assignment of classes to the known and unknown class categories. For further details, refer to our previous paper Multi-label open-set audio classification. In this work, OST dataset variant 1 is referred to as OST for simplicity. We also introduce a tiny version of the dataset called OST-Tiny, which contains ~20k clips and only 10 known classes. This is convenient for faster prototyping and to evaluate models in a more challenging open-set classification scenario.
DOI: 10.5281/zenodo.7241703
title: Open-Set Tagging Dataset (OST)

description: Open-set Tagging (OST) is a synthetic dataset of 1s clips used to evaluate source-centric representation learning models in the paper Compositional Audio Representation Learning.

Due to the size of the dataset, we only share the source files, and provide the scripts to generate the dataset are available here.The dataset generation process is as follows:1. From single-source FSD50K audio files, we generate a dataset of 10s soundscapes called Open-set Soundscapes (OSS) using Scaper.

2. We then center a 1s window around the center of each sound event in the 10s soundscapes to generate Open-set Tagging (OST), which contains ~500k clips. 

If you are not going to use OSS, you can choose to synthesize it without audio-- this will synthesize only the JAMS annotation files needed for the 1s clips. Using the OSS JAMS files, OST clips can be generated deterministically.

There are five dataset variants (~17GB each), each with a different random assignment of classes to the known and unknown class categories. For further details, refer to our previous paper Multi-label open-set audio classification. In this work, OST dataset variant 1 is referred to as OST for simplicity. We also introduce a tiny version of the dataset called OST-Tiny, which contains ~20k clips and only 10 known classes. This is convenient for faster prototyping and to evaluate models in a more challenging open-set classification scenario.
DOI: 10.3886/e155161v88
title: Advance Layoff Notice Data from the WARN Act

description: We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model.<br>

<b><br>Data Collection</b><br>We update the data twice a month by collecting WARN
notices from state websites. For many states, we have extended our historical
data by using digital archives of the internet and contacting state
officials.<br> <br><b>Citation</b><br>To learn more about
the data and the dynamic factor model, see:<br>Krolikowski, Pawel M. and Kurt G. Lunsford. 2022. “Advance Layoff Notices and Aggregate Job Loss.” Federal Reserve Bank of Cleveland, Working Paper no. 20-03R. https://doi.org/10.26509/frbc-wp-202003R.<br>Krolikowski, Pawel M., and Kurt G. Lunsford. 2024 “Advance Layoff Notices and Aggregate Job Loss.” Journal of Applied Econometrics. https://doi.org/10.1002/jae.3032.<b><br><br></b><b>File Description</b><br>The file labelled WARNFiles_YYYYMMDD.zip in the
main directory contains our most recent data. All data included in this zip
file were collected as of the date listed in the file name. Previous
vintages of our data appear in the `Archived_Vintages’ folder, with the same
naming convention.<br>
<br>The zip files contain three files:<br>
<br>


1. 
README.txt

<br>2. 
WARNData_NSA_YYYYMMDD.csv


 
 This .csv contains the number of workers affected by
 WARN notices by state and month. These data are not seasonally adjusted.
 These data are the input into the dynamic factor model.
 


3. 
WARNFactors_YYYYMMDD.csv


 
 This .csv contains the output of the dynamic factor
 model. The output is labeled as follows:
 
 WARN Factor: the estimates of the factor from the
 dynamic factor model.
 MSE: the estimated mean squared errors
 of the WARN factor.
 WARN_hat: the number of workers affected by
 WARN notices as implied by the WARN factor.
 WARN_sum: the sum of the number of
 workers affected by WARN notices from several states that form a
 balanced panel beginning in January 2006. These states can change every
 update.<b>Disclaimer</b><br>These data are
updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.<br>
description: Smallest Geographic Unit: State
DOI: 10.15468/dl.aqd53r
title: Occurrence Download

description: A dataset containing 1904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongo pygmaeus"
 ]
}

 The dataset includes 1904 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033898-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vqutwj
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174821) deployed in the Bering Sea, and the Chukchi Sea from 2018-04-20 to 2018-06-18, deployment id 5ad95ba5efec72080c8a8645

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174821) deployed in the Bering Sea, and the Chukchi Sea from 2018-04-20 to 2018-06-18, deployment id 5ad95ba5efec72080c8a8645 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305219. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.5281/zenodo.17237104
title: EFFECT OF RURAL TO URBAN MIGRATION ON WOMEN IN TURKEY  FROM GENDER PERSPECTIVE: A CASE STUDY OF IZMIR PROVIENCE IN  TURKEY

description: Rural-to-urban migration in Turkey, a phenomenon that began in the 1950s has significantly influenced women’s gender roles, status, and living standards. This paper examines the impact of rural-to-urban migration on women in Turkey, using İzmir as a case study from a gender perspective. The study employs a qualitative methodology, incorporating on interviews and observations. The findings reveal that women experience emancipation and empowerment within their families in urban areas compared to rural ones. The shift from traditional to nuclear family structures has transformed gender roles, granting women greater freedom and reducing the pressures prevalent in rural settings. The nuclear family model also fosters a more equitable and shared division of labor between men and women. However, significant challenges persist regarding women’s participation in the labor market. Systematic barriers such as societal restrictions, traditional gender roles within the society and the perception of women as cheap labor due to their low educational levels are major obstacles for integration of women into urban environments. The data indicates that women’s labor market participation in the urban areas remains limited, complicating the process of transforming gender roles.
DOI: 10.5281/zenodo.17237105
title: EFFECT OF RURAL TO URBAN MIGRATION ON WOMEN IN TURKEY  FROM GENDER PERSPECTIVE: A CASE STUDY OF IZMIR PROVIENCE IN  TURKEY

description: Rural-to-urban migration in Turkey, a phenomenon that began in the 1950s has significantly influenced women’s gender roles, status, and living standards. This paper examines the impact of rural-to-urban migration on women in Turkey, using İzmir as a case study from a gender perspective. The study employs a qualitative methodology, incorporating on interviews and observations. The findings reveal that women experience emancipation and empowerment within their families in urban areas compared to rural ones. The shift from traditional to nuclear family structures has transformed gender roles, granting women greater freedom and reducing the pressures prevalent in rural settings. The nuclear family model also fosters a more equitable and shared division of labor between men and women. However, significant challenges persist regarding women’s participation in the labor market. Systematic barriers such as societal restrictions, traditional gender roles within the society and the perception of women as cheap labor due to their low educational levels are major obstacles for integration of women into urban environments. The data indicates that women’s labor market participation in the urban areas remains limited, complicating the process of transforming gender roles.
DOI: 10.15468/dl.b5zn35
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Country is India",
 "TaxonKey is Abrota ganga"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033899-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dknwpc
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174822) deployed in the Bering Sea from 2018-04-14 to 2018-11-03, deployment id 5ad19120efec72080c8921a9

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 174822) deployed in the Bering Sea from 2018-04-14 to 2018-11-03, deployment id 5ad19120efec72080c8921a9 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305220. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.5066/p1jzfcva
title: Structural Topic Models of water-quality related news articles and scientific abstracts in the Illinois River Basin, USA

description: This data release provides the input and output files, metadata, and R scripts used to apply a Structural Topic Model (STM) to public (local news articles) and scientific (abstracts) discourse on water quality in the Illinois River Basin (ILRB). A total of 6,822 local news articles published from 2018 through 2022, and 190 scientific abstracts published from 2018 through 2023 were compiled for use in a Structural Topic Model (STM), a statistical text-mining approach that identified latent themes within a collection of documents while incorporating document-level metadata to explain topic prevalence. The model inputs included the text of each news article and scientific abstract along with associated metadata (e.g., author, title, date, publisher, location of the news publisher; citation information for scientific abstracts). Due to proprietary restrictions, the full text of the local news articles (NewsArticles.xlsx) is not included in this data release. Instead, we provide the scientific abstracts input file (SCOPUS_scientificAbstracts.csv), the R scripts used to generate the STM analysis for both the news articles (STM_newsArticles.R) and scientific abstracts (STM_scientificAbstracts.R), and the corresponding model output showing the main topics (STM_newsArticles_output.png and STM_scientificAbstracts_output.png). This data release supports the analyses presented in the corresponding journal article (https://www.doi.org/TBD). STM_newsArticles_output.png and STM_scientificAbstracts_output.png correspond to Figures 3 and 9 in this article.
DOI: 10.15468/w8r3nx
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 37515) deployed in the Bering Sea, and the Chukchi Sea from 2010-05-22 to 2011-04-23, deployment id 56f47a08d76c5c32ed2f3531

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 37515) deployed in the Bering Sea, and the Chukchi Sea from 2010-05-22 to 2011-04-23, deployment id 56f47a08d76c5c32ed2f3531 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305221. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/kbuped
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 37909) deployed in the Bering Sea, and the Chukchi Sea from 2014-04-27 to 2014-09-21, deployment id 535ca0ab84a8e004b84b4629

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 37909) deployed in the Bering Sea, and the Chukchi Sea from 2014-04-27 to 2014-09-21, deployment id 535ca0ab84a8e004b84b4629 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305222. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.shqjfp
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elettaria cardamomum",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033901-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84z3sb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elettaria cardamomum",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033900-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/hqppjz
title: Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 38549) deployed in the Bering Sea from 2014-04-29 to 2014-06-13, deployment id 535f28d184a8e004b84c64a0

description: This is the OBIS extraction of Spotted seal (Phoca largha) location data from a satellite telemetry tag (ptt id 38549) deployed in the Bering Sea from 2014-04-29 to 2014-06-13, deployment id 535f28d184a8e004b84c64a0 from the U.S. Animal Telemetry Network (ATN). This extraction is a subset of detections intended to be useful for the OBIS network. The source dataset, containing the full set of detections, is available at NCEI: https://www.ncei.noaa.gov/archive/accession/0305223. The entire collection of satellite telemetry location and profile data collected from satellite-linked tags deployed on marine animals and contributed by organizations that are part of the U.S. Animal Telemetry Network (ATN) can be found at: https://doi.org/10.25921/wp4e-ph20
DOI: 10.15468/dl.xn6ydr
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Caryopteris",
 "Year 1000-2025"
 ]
}

 The dataset includes 1058 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033902-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/yykaek
title: Data Management and Sharing Plan for: T2-skewed basal cells promote small airway mucus plugging in asthma

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.pmsp52
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Morganella morganii"
 ]
}

 The dataset includes 77 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033904-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.