cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nqdzy3
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmelia maingayi King"
 ]
}

 The dataset includes 117 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065832-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyte4h
title: Occurrence Download

description: A dataset containing 316354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convallaria majalis L."
 ]
}

 The dataset includes 316354 records from 1331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065800-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t95gm8
title: Occurrence Download

description: A dataset containing 303281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pipilo chlorurus (Audubon, 1839)"
 ]
}

 The dataset includes 303281 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065803-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxy6bd
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panicum pseudoracemosum Renvoize"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065833-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4bt8b
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parsonsia celebica (Oliv.) Sleesen"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065837-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puvvjb
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ottelia cylindrica (T.C.E.Fr.) Dandy"
 ]
}

 The dataset includes 25 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065835-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e26y6j
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachygone odorifera Miers"
 ]
}

 The dataset includes 60 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065834-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zenhr6
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opocunonia nymanii (K.Schum.) Schltr."
 ]
}

 The dataset includes 624 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065836-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cxx93t2ttm.1
title: Additional data for IMMUNITY-D-21-00648R3

description: This dataset includes supplementary tables 1, 2 and 3 for Immunity manuscript IMMUNITY-D-21-00648R3, "Immunizations with diverse sarbecovirus receptor binding domains elicit SARS-CoV-2 neutralizing antibodies against a conserved site of vulnerability".
DOI: 10.6084/m9.figshare.16892608
title: April 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in April, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892608.v1
title: April 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in April, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.17632/4frtdtxsk9.1
title: The 10-m crop maps for four major crops across 10 EU countries in 2018-2019

description: This dataset provides the 10-m crop maps for four major crops (maize, rapeseed, winter, and spring Triticeae crops) across 10 EU countries from 2018 to 2019.

*** The data file is in “.tif" format

*** Spatial extent: 10 EU countries

*** Temporal Resolution: Yearly

*** Pixel size: 10 m

*** Projection information: EPSG: 4326

*** CropType: The raster values range from 1-5, represent other land covers (e.g., sugar beet, potato, sunflower, grassland), maize, winter Triticeae crops (i.e., winter wheat, winter barley, winter rye), rapeseed, and spring Triticeae crops (i.e., spring wheat, spring barley, spring oat), respectively.  The raster values of 0 indicate nodata.

*** Year: Values from 2018 to 2019
DOI: 10.25346/s6/tvp6q5
title: Christmas Troparion: Virtual Acheiropoietos

description: In 2014, an international team of scholars measured the acoustical properties of eight churches in Thessaloniki. The recordings are part of an article in Hesperia that examines two of the tested churches, the Acheiropoietos basilica and the cathedral of Hagia Sophia in order to provide objective and phenomenological accounts of how sound — both chanted and spoken — was produced and received. Framing the soundscape of each church through an examination of its original shape, furnishings, decoration, liturgy, music, and acoustics raises new questions about ties between the two buildings and the streets that connected them. This study deepens the understanding of the archaeoacoustics of Thessaloniki’s early churches.
DOI: 10.25346/s6/palxsm
title: Test Tone in Acheiropoietos

description: In 2014, an international team of scholars measured the acoustical properties of eight churches in Thessaloniki. The recordings are part of an article in Hesperia that examines two of the tested churches, the Acheiropoietos basilica and the cathedral of Hagia Sophia in order to provide objective and phenomenological accounts of how sound — both chanted and spoken — was produced and received. Framing the soundscape of each church through an examination of its original shape, furnishings, decoration, liturgy, music, and acoustics raises new questions about ties between the two buildings and the streets that connected them. This study deepens the understanding of the archaeoacoustics of Thessaloniki’s early churches.
DOI: 10.6084/m9.figshare.16892611
title: March 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in March, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892614.v1
title: March 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>March, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892614
title: March 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>March, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892617.v1
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>May, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892617
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>May, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892620
title: April 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>April, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892620.v1
title: April 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>April, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892623
title: January 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in January, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892623.v1
title: January 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in January, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.25346/s6/hqgblu/mabe65
title: Psalm 85 in Hagia Sophia.mp3

description: MP3 audio
DOI: 10.25346/s6/hqgblu
title: Psalm 85 in Hagia Sophia

description: In 2014, an international team of scholars measured the acoustical properties of eight churches in Thessaloniki. The recordings are part of an article in Hesperia that examines two of the tested churches, the Acheiropoietos basilica and the cathedral of Hagia Sophia in order to provide objective and phenomenological accounts of how sound — both chanted and spoken — was produced and received. Framing the soundscape of each church through an examination of its original shape, furnishings, decoration, liturgy, music, and acoustics raises new questions about ties between the two buildings and the streets that connected them. This study deepens the understanding of the archaeoacoustics of Thessaloniki’s early churches.
DOI: 10.25346/s6/id8meg/8zjcp6
title: Kontakion in Hagia Sophia.mp3

description: MP3 audio
DOI: 10.25346/s6/id8meg
title: Kontakion in Hagia Sophia

description: In 2014, an international team of scholars measured the acoustical properties of eight churches in Thessaloniki. The recordings are part of an article in Hesperia that examines two of the tested churches, the Acheiropoietos basilica and the cathedral of Hagia Sophia in order to provide objective and phenomenological accounts of how sound — both chanted and spoken — was produced and received. Framing the soundscape of each church through an examination of its original shape, furnishings, decoration, liturgy, music, and acoustics raises new questions about ties between the two buildings and the streets that connected them. This study deepens the understanding of the archaeoacoustics of Thessaloniki’s early churches.
DOI: 10.25346/s6/uysvuy/k6pk0c
title: Cheroubikon in Hagia Sophia.mp3

description: MP3 audio
DOI: 10.25346/s6/uysvuy
title: Cheroubikon in Hagia Sophia

description: In 2014, an international team of scholars measured the acoustical properties of eight churches in Thessaloniki. The recordings are part of an article in Hesperia that examines two of the tested churches, the Acheiropoietos basilica and the cathedral of Hagia Sophia in order to provide objective and phenomenological accounts of how sound — both chanted and spoken — was produced and received. Framing the soundscape of each church through an examination of its original shape, furnishings, decoration, liturgy, music, and acoustics raises new questions about ties between the two buildings and the streets that connected them. This study deepens the understanding of the archaeoacoustics of Thessaloniki’s early churches.
DOI: 10.6084/m9.figshare.16892647
title: MAV_EQTL_DATA.csv

description: GTEx v8 eQTL data for 908 MAV<br><br><br>
DOI: 10.6084/m9.figshare.16892656
title: Expectation reduces internal noise and increases visual sensitivity when temporal attention is occupied

description: This study describes the the relationship between expectation and temporal attention on visual perception.
DOI: 10.6084/m9.figshare.16892656.v1
title: Expectation reduces internal noise and increases visual sensitivity when temporal attention is occupied

description: This study describes the the relationship between expectation and temporal attention on visual perception.
DOI: 10.6084/m9.figshare.14782407
title: Dataset_NER_Manufacturing - “FabNER”: Information Extraction from Manufacturing Process Science Domain Literature Using Named Entity Recognition

description: We compiled a manufacturing text document of 350,000+ words for training, testing and validating the neural network for Named Entity Recognition. The entire annotated dataset is made available as Supplemental Material. Please cite the paper (link: https://rdcu.be/cnaJ9) if you use the dataset.
DOI: 10.5281/zenodo.5606152
title: The role of atmospheric drivers in a sudden transition of California precipitation in the 2012/13 winter

description: This contains the data, presented in a publication entitled "The role of atmospheric drivers in a sudden transition of California precipitation in the 2012/13 winter" (JGR: Atmospheres). See the paper for details. See 'Readme.pdf' for the file descriptions.
DOI: 10.5281/zenodo.5606151
title: The role of atmospheric drivers in a sudden transition of California precipitation in the 2012/13 winter

description: This contains the data, presented in a publication entitled "The role of atmospheric drivers in a sudden transition of California precipitation in the 2012/13 winter" (JGR: Atmospheres). See the paper for details. See 'Readme.pdf' for the file descriptions.
DOI: 10.6084/m9.figshare.14703801
title: Data File 3: Details of sample processing and sequencing runs

description: Details of sample processing and sequencing runs
DOI: 10.6084/m9.figshare.14701578.v1
title: Data File 5: Albacore base-called reads statistics generated using NanoStat

description: Albacore base-called reads statistics generated using NanoStat
DOI: 10.6084/m9.figshare.14701578
title: Data File 5: Albacore base-called reads statistics generated using NanoStat

description: Albacore base-called reads statistics generated using NanoStat
DOI: 10.6084/m9.figshare.14701587
title: Data File 6: Mapping statistics generated using QualiMap and Geneious

description: Mapping statistics generated using QualiMap and Geneious
DOI: 10.6084/m9.figshare.16892701
title: February 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in February, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).