cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/ieda/314823
title: Ship-based Trackline Geophysical Data (MGD77) acquired during the Maurice Ewing expedition EW0205 (2002)

description: This data set was acquired with a ship-based Atlas Hydrosweep DS2 Multibeam Sonar system during Maurice Ewing expedition EW0205 conducted in 2002 (Chief Scientist: Dr. William Floering). These data files are of MGD77 format and include Singlebeam Bathymetry data and were processed after data collection. Data were acquired as part of the project(s): Fisheries-Oceanography Coordinated Investigations (FOCI).
DOI: 10.1594/ieda/313021
title: Processed ship-based Navigation Data acquired during the Vema expedition V1810 (1962)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V1810 conducted in 1962 (Chief Scientist: Dr. Manik Talwani). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/313025
title: Processed ship-based Navigation Data acquired during the Vema expedition V1812 (1962)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V1812 conducted in 1962 (Chief Scientist: Dr. Marcus Langseth). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/310610
title: Processed ship-based Navigation Data acquired during the Robert D. Conrad expedition RC0811 (1964)

description: This data set was acquired with a ship-based Navigation system during Robert D. Conrad expedition RC0811 conducted in 1964 (Chief Scientist: Dr. Walter Pitman). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/313027
title: Processed ship-based Navigation Data acquired during the Vema expedition V1813 (1962)

description: This data set was acquired with a ship-based Navigation system during Vema expedition V1813 conducted in 1962 (Chief Scientist: Dr. Bruce Heezen). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.1594/ieda/308127
title: Multi-Channel Seismic Shot Data from the Macquarie Ridge acquired during the Rig Seismic expedition RS9401 (1994)

description: This data set was acquired with a Multi-Channel Seismic system during Rig Seismic expedition RS9401 conducted in 1994 (Chief Scientist: Dr. Mike Coffin). These data files are of SEGY format and include Multi-Channel Seismic Reflection shot data that have not been processed. Funding was provided by NSF grant(s): OCE92-16873. This data was cited by Schuur et al., 1998 and Collot et al., 1995.
DOI: 10.1594/ieda/312161
title: Processed ship-based Navigation Data acquired during the Melville expedition PANR08MV (1998)

description: This data set was acquired with a ship-based Navigation system during Melville expedition PANR08MV conducted in 1998 (Chief Scientist: Dr. Woody Sutherland). These data files are of Text File (ASCII) format and include Navigation data and were processed after data collection.
DOI: 10.15468/dl.thevvf
title: Occurrence Download

description: A dataset containing 2224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptodactylus insularum Barbour, 1906"
 ]
}

 The dataset includes 2224 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070577-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57912/23857866.v1
title: Power outages by U.S. state 2016-2020

description: This is a historical dataset from PowerOutage.US (https://poweroutage.us/products). The original data file was converted from TSV (tab separated values) format to Microsoft Excel by American University Library for easier usability; the contents were not altered. Both of those files are made available for downloading here as a ZIP file. For 2016, only data for 14 states is available. Meaning of columns in this dataset: Record Hours- Total number of hours recorded (most of the time it will be 365 * 24) / Customer Hours - Total number of hours recorded by customer (customers * 24 * 365) / Outage Hours - Total number of hours without power per customer / Percent Hours Out - Percent of hours without power per customer / AVG Customer - average amount of tracked customers / Max Outage Count - Max number of customers without power at one time.
DOI: 10.57912/23857866
title: Power outages by U.S. state 2016-2020

description: This is a historical dataset from PowerOutage.US (https://poweroutage.us/products). The original data file was converted from TSV (tab separated values) format to Microsoft Excel by American University Library for easier usability; the contents were not altered. Both of those files are made available for downloading here as a ZIP file. For 2016, only data for 14 states is available. Meaning of columns in this dataset: Record Hours- Total number of hours recorded (most of the time it will be 365 * 24) / Customer Hours - Total number of hours recorded by customer (customers * 24 * 365) / Outage Hours - Total number of hours without power per customer / Percent Hours Out - Percent of hours without power per customer / AVG Customer - average amount of tracked customers / Max Outage Count - Max number of customers without power at one time.
DOI: 10.5281/zenodo.14617513
title: Bat Literature Project (BatLit, https://batlit.org) v0.7 hash://md5/ce1e7618f237ff56e74d51f496e811a3 - Provenance and Metadata

description: This publications contains metadata records and provenance of the batlit versions listed below.

For more information on use, please inspect the data.zip / data.tar.gz files, starting with the README.md . Alternatively, if the internet still exists, you may find some information at https://batlit.org and/or https://github.com/bat-literature/bat-literature.github.io . 




name
version
date
size
# pages
# references
# attachments
fingerprint




Bat Literature Corpus
v0.1
2024-04-26
7.9 GiB
 
2929
5055
hash://sha256/6ba...189


Bat Literature Corpus
v0.2
2024-05-16/2024-05-17
11.6 GiB
 
3310
5471
hash://md5/be6...1d7


Bat Literature Corpus
v0.3
2024-06-25/2024-06-26
13.6 GiB
 
5501
7229
hash://md5/350...77d


Bat Literature Corpus
v0.4
2024-08-01/2024-08-02
50.9 GiB
 
20146
29860
hash://md5/b39...72a


Bat Literature Corpus
v0.5
2024-08-16/2024-08-17
50.9 GiB
 
20145
29850
hash://md5/26f...b20


Bat Literature Corpus
v0.6
2024-09-19/2024-09-20
44.7GiB
427105
19038
22590
hash://md5/db7...97b


Bat Literature Corpus
v0.7
2024-12-05/2024-12-06
45.2GiB
431870
19268
22930
hash://md5/ce1...1a3
DOI: 10.57912/23861151.v1
title: LandScan 2020 : Global Population Database

description: Description to be added
DOI: 10.57912/23861151
title: LandScan 2020 : Global Population Database

description: Description to be added
DOI: 10.6084/m9.figshare.28191746
title: Bond ST et al Nat Commun 2025 (Metabolomics Files)

description: During mitochondrial damage, information is relayed between the mitochondria and nucleus to coordinate precise responses to preserve cellular health. One such pathway is the mitochondrial integrated stress response (mtISR), which is known to be activated by mitochondrial DNA (mtDNA) damage. However, the causal molecular signals responsible for this activation remain mostly unknown. A gene often associated with mtDNA mutations/deletions is <i>Polg1</i>, which encodes the mitochondrial DNA Polymerase γ (PolG). Here, we describe an inducible, tissue specific model of PolG mutation, which in muscle specific animals leads to rapid development of mitochondrial dysfunction and muscular degeneration in male animals from ~5 months of age. Detailed molecular profiling demonstrated robust activation of the mtISR in muscles from these animals. This was accompanied by striking alterations to enzymes in the mitochondrial folate cycle that was likely driven by a specific depletion in the folate cycle metabolite 5,10 methenyl-THF, strongly implying imbalanced folate intermediates as a previously unrecognised pathology linking the mtISR and mitochondrial disease.
DOI: 10.6084/m9.figshare.22086080
title: Data for "Deterministic photon source interfaced with a programmable silicon-nitride integrated circuit"

description: Data underlying the results presented in the paper "Deterministic photon source interfaced with a programmable silicon-nitride integrated circuit" by Wang et al.
DOI: 10.5281/zenodo.14861890
title: Recurrence relation formula
DOI: 10.5281/zenodo.14861891
title: Recurrence relation formula
DOI: 10.48597/824a-5y86
title: Inorganics in air and particle phase at Monte Martano

description: Measurement of Inorganics in air and particle phase at Monte Martano
DOI: 10.48597/hkq9-cqmf
title: Measurement of Inorganics in air and particle phase at Monte Martano

description: Measurement of Inorganics in air and particle phase at Monte Martano
DOI: 10.48597/sfg9-qrxv
title: Measurement of Inorganics in air and particle phase at Monte Martano

description: Measurement of Inorganics in air and particle phase at Monte Martano
DOI: 10.48597/uhun-wg6a
title: Measurement of Inorganics in air and particle phase at Monte Martano

description: Measurement of Inorganics in air and particle phase at Monte Martano
DOI: 10.48597/23fx-ykzt
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/34cb-qeaj
title: Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/b87z-a6cx
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/x3z4-3ekx
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.3886/e187081
title: Data and Code for: Housing the Homeless - The Effect of Placing Single Adults Experiencing Homelessness in Housing Programs on Future Homelessness and Socioeconomic Outcomes

description: <pre>This study measures the impact of rapidly placing single adults 
experiencing homelessness in housing programs on future homelessness, 
crime, and health. Using case worker placement tendencies design and 
a novel dataset constructed by linking administrative records from 
multiple public agencies in Los Angeles County, I estimate that rapidly
 placing individuals in housing programs significantly reduces the 
likelihood of future return to the homeless support system, crime, and
reliance on emergency cash assistance, yet it does not have a detectable
effect on health services utilization. These findings demonstrate that
rapid housing placements can have both rehabilitative and potentially
cost-savings impacts. </pre>
description: Single adults experiencing homelessness in Los Angeles County Seeking Assistance<br>from the homeless support system in the county.
DOI: 10.3886/e187081v1-167478
title: Data and Code for: Housing the Homeless - The Effect of Placing Single Adults Experiencing Homelessness in Housing Programs on Future Homelessness and Socioeconomic Outcomes

description: <pre>This study measures the impact of rapidly placing single adults 
experiencing homelessness in housing programs on future homelessness, 
crime, and health. Using case worker placement tendencies design and 
a novel dataset constructed by linking administrative records from 
multiple public agencies in Los Angeles County, I estimate that rapidly
 placing individuals in housing programs significantly reduces the 
likelihood of future return to the homeless support system, crime, and
reliance on emergency cash assistance, yet it does not have a detectable
effect on health services utilization. These findings demonstrate that
rapid housing placements can have both rehabilitative and potentially
cost-savings impacts. </pre>
description: Single adults experiencing homelessness in Los Angeles County Seeking Assistance<br>from the homeless support system in the county.
DOI: 10.48597/egzy-y8xy
title: Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/ra8n-a93h
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/rpvv-aeyd
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.48597/uyr6-4wfu
title: Measurement of Heavy metals at Monte Martano

description: Measurement of Heavy metals at Monte Martano
DOI: 10.3886/e219182v1
title: Examining the Effect of Supplemental Nutrition Assistance Program Enrollment on Food Insecurity in College Students

description: <b>Objectives</b>. This
purpose of this research was to determine the prevalence of food insecurity and
SNAP enrollment, and the effect of SNAP enrollment on food security students at
Middle Tennessee State University.

<br><b>Methods</b>. 402
participants were screened for SNAP eligibility, receipt of SNAP benefits, and
level of food security based on the USDA 6-item short form. One-proportion
z-scores, binary logistic regression, and univariate ANCOVA were utilized to
determine prevalence of food insecurity and SNAP enrollment and the effect of
SNAP participation on food security levels.

<br><b>Results</b>. It was
estimated that 54.0% of students at MTSU are food insecure. Students surveyed
were 71.65% less likely to be receiving SNAP benefits than other eligible
Tennessee residents. Students enrolled in SNAP were 45.9% less likely to
experience very low food security compared to students that did not receive
SNAP benefits, OR = 0.541, 95% CI [0.169, 1.736], p = 0.302. Results also indicated
that students enrolled in SNAP had Rasch food security scores that were
approximately 11.9% lower than food insecure students that were not enrolled in
SNAP, F (1, 190) = 3.391, p = .067.

<br><b>Conclusions</b>. 

Compared to Tennessee
adults, MTSU students were 4.6 times, or 360%, more likely to experience food
insecurity, and significantly less likely to be enrolled in the SNAP program. For
those that were enrolled, this research has shown that receiving SNAP benefits
in college may improve food security.
description: Response Rates: Enrollment in Fall semester of 2024 was 20,488 students. After data cleaning including removing duplicates and incomplete surveys, a total of 402 surveys were used in the final analyses for a 1.96% response rate.<br><br>
description: Presence of Common Scales: USDA Six-Item Short Form QuestionnaireRasch measurement scores
description: Convenience sampling was used to survey students. All 20,488 students received an invitation to complete the survey via e-mail.
description: Undergraduate and graduate students enrolled at Middle Tennessee State University in Fall semester 2024, age 18 and older.
description: web-based survey;
DOI: 10.5281/zenodo.1210308
title: Global Biotic Interactions: Taxon Graph

description: Global Biotic Interactions: Taxon Cache and Taxon Map

Global Biotic Interactions (GloBI) provides access to existing species interaction datasets (Poelen et al. 2014, http://globalbioticinteractions.org). As part of the dataset integration and aggregation, a best effort is made to resolve, match and link taxonomic names and associated vernacular/common names, hierarchies and thumbnails. 

The data archives included in this publication contain established taxonomic links (taxonMap.tsv.gz) and taxonomic information (taxonCache.tsv.gz) that GloBI retrieved and integrated from taxonomic name sources and web services associated with http://itis.gov, http://globalnames.org, http://eol.org and others open data services. 

While GloBI is not a naming authority and the primary goal of the name matching process is to detect incorrect or outdates names, the archives may serve as an example of how to publish denormalized taxonomic records and their interrelatioships in a pragmatic way.

For related discussion threads, see https://github.com/jhpoelen/eol-globi-data/issues/145 , https://github.com/jhpoelen/eol-globi-data/issues/274 , https://github.com/jhpoelen/eol-globi-data/issues/70 , https://github.com/EOL/tramea/issues/10 and https://github.com/jhpoelen/eol-globi-data/issues/274 .

Files<br>
  <br>
  README <br>
      this file<br>
  <br>
  taxonCache.tsv.gz <br>
      Taxonomic name, ids, hierarchies, common names and thumbnail associated to taxa known to GloBI. Accessed at https://depot.globalbioticinteractions.org/datasets/org/globalbioticinteractions/taxon/0.3/taxon-0.3.zip on 2 March 2018.<br>
 <br>
  taxonCacheFirst10.tsv<br>
      Header and 10 following lines from taxonCache.tsv.gz.<br>
 <br>
  taxonMap.tsv.gz <br>
      Links between taxon name and ids across various taxon providers. Accessed at https://depot.globalbioticinteractions.org/datasets/org/globalbioticinteractions/taxon/0.3/taxon-0.3.zip on 2 March 2018. 

  taxonMapFirst10.tsv<br>
      Header and 10 following lines from taxonMap.tsv.gz.<br>
 <br>
  prefixes.tsv<br>
      Term prefixes and their associated uri schemes. 

Column Descriptions

  taxonCache.tsv.gz 

    1 | id<br>
    2 | name<br>
    3 | rank<br>
    4 | commonNames<br>
    5 | path<br>
    6 | pathIds <br>
    7 | pathNames<br>
    8 | externalUrl<br>
    9 | thumbnailUrl<br>
 <br>
  taxonMap.tsv.gz

    1 | providedTaxonId<br>
    2 | providedTaxonName<br>
    3 | resolvedTaxonId<br>
    4 | resolvedTaxonName

References

Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. http://dx.doi.org/10.1016/j.ecoinf.2014.08.005.

Updates

org.globalbioticinteractions.taxon v0.3, 2018-03-02

This taxon archive version was created by taking GloBI taxon v0.2 (Jan 2018) and appending a semi-automatically created WikiData taxon mapping and taxon cache.
DOI: 10.5281/zenodo.1210321
title: Global Biotic Interactions: Taxon Graph

description: Global Biotic Interactions: Taxon Cache and Taxon Map

Global Biotic Interactions (GloBI) provides access to existing species interaction datasets (Poelen et al. 2014, http://globalbioticinteractions.org). As part of the dataset integration and aggregation, a best effort is made to resolve, match and link taxonomic names and associated vernacular/common names, hierarchies and thumbnails. 

The data archives included in this publication contain established taxonomic links (taxonMap.tsv.gz) and taxonomic information (taxonCache.tsv.gz) that GloBI retrieved and integrated from taxonomic name sources and web services associated with http://itis.gov, http://globalnames.org, http://eol.org and others open data services. 

While GloBI is not a naming authority and the primary goal of the name matching process is to detect incorrect or outdates names, the archives may serve as an example of how to publish denormalized taxonomic records and their interrelatioships in a pragmatic way.

For related discussion threads, see https://github.com/jhpoelen/eol-globi-data/issues/145 , https://github.com/jhpoelen/eol-globi-data/issues/274 , https://github.com/jhpoelen/eol-globi-data/issues/70 , https://github.com/EOL/tramea/issues/10 and https://github.com/jhpoelen/eol-globi-data/issues/274 .

Files<br>
  <br>
  README <br>
      this file<br>
  <br>
  taxonCache.tsv.gz <br>
      Taxonomic name, ids, hierarchies, common names and thumbnail associated to taxa known to GloBI. Accessed at https://depot.globalbioticinteractions.org/datasets/org/globalbioticinteractions/taxon/0.2.0/taxon-0.2.0.zip on 25 January 2018.<br>
 <br>
  taxonCacheFirst10.tsv<br>
      Header and 10 following lines from taxonCache.tsv.gz.<br>
 <br>
  taxonMap.tsv.gz <br>
      Links between taxon name and ids across various taxon providers. Accessed at https://depot.globalbioticinteractions.org/datasets/org/globalbioticinteractions/taxon/0.2.0/taxon-0.2.0.zip on 25 January 2018. 

  taxonMapFirst10.tsv<br>
      Header and 10 following lines from taxonMap.tsv.gz.<br>
 <br>
  prefixes.tsv<br>
      Term prefixes and their associated uri schemes. 

Column Descriptions

  taxonCache.tsv.gz 

    1 | id<br>
    2 | name<br>
    3 | rank<br>
    4 | commonNames<br>
    5 | path<br>
    6 | pathIds <br>
    7 | pathNames<br>
    8 | externalUrl<br>
    9 | thumbnailUrl<br>
 <br>
  taxonMap.tsv.gz

    1 | providedTaxonId<br>
    2 | providedTaxonName<br>
    3 | resolvedTaxonId<br>
    4 | resolvedTaxonName

References

Jorrit H. Poelen, James D. Simons and Chris J. Mungall. (2014). Global Biotic Interactions: An open infrastructure to share and analyze species-interaction datasets. Ecological Informatics. http://dx.doi.org/10.1016/j.ecoinf.2014.08.005.
DOI: 10.5281/zenodo.1560662
title: Global Biotic Interactions: Taxon Graph Patches

description: Global Biotic Interactions: Taxon Graph Patch 20181126-01

Abstract / Introduction

A suspicious interaction was observed in which a Humpback scorpionfish (Scorpaenopsis gibbosa) interacted with highlands scrub hypericum (Hypericum cumulicola). Also see https://github.com/jhpoelen/eol-globi-data/issues/385 . On close inspection, various incorrect mapping to Humpback scorpionfish (Scorpaenopsis gibbosa) were found. The mappings have been present since GloBI Taxon Graph v0.1.0 ([1]) and is suspected to be introduced by a name index bug that mapped "no name" taxa to the first resolve taxon.

Methods 

All name mapping in GloBI Taxon Graph v0.3.9 ([2]) to Humpback scorpionfish (Scorpaenopsis gibbosa) were removed except for the identity mappings (e.g., Scorpaenopsis gibbosa -&gt; Scorpaenopsis gibbosa). A patch file was created by comparing the original taxonMap.tsv.gz file with the resulting taxonMap.tsv.gz file. The procedure was captured in the script create_patch.sh .

This patch can be applied using the program "patch". This pogram is available on most unix-like systems.

Result/ Discussion

In total, this patch resulted in removal of 14475 - 20 = 14455 suspicious name mappings to Humpback scorpionfish (Scorpaenopsis gibbosa). 20 identify mappings were preserved and added the the bottom of the taxonMap.tsv.gz file. 

References

[1] Poelen, Jorrit H. (2017). Global Biotic Interactions: Taxon Graph (Version 0.1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.265895<br>
[2] Poelen, Jorrit H. (2018). Global Biotic Interactions: Taxon Graph (Version 0.3.9) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1495302