cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12516948
title: GLAM-Workbench/trove-newspapers-corrections

description: Current version: v1.4 
OCR errors in Trove's digitised newspapers can be corrected by users. To help understand patterns in newspaper correction, this dataset has been created to record the number of articles with corrections in each digitised newspaper. By retrieving the total number of articles in each newspaper, it's then possible to calculate the percentage of articles with corrections. 
The data was extracted from the Trove API using this notebook from the Trove newspapers section of the GLAM Workbench. 
The data is available as a CSV file entitled corrections_by_title.csv and contains the following fields: 
 
id – the Trove identitifer of the newsspaper title 
title – the name of the newspaper 
articles_with_corrections – the number of articles with corrections 
total_articles – the total number of articles from the newspaper in Trove 
percentage_with_corrections – the percentage of articles with corrections  
 
This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.
DOI: 10.5281/zenodo.12517273
title: GLAM-Workbench/trove-newspapers-corrections

description: Current version: v2.0 
OCR errors in Trove's digitised newspapers can be corrected by users. To help understand patterns in newspaper correction, this dataset has been created to record information about the number of articles with corrections. 
The data was extracted from the Trove API using this notebook from the Trove newspapers section of the GLAM Workbench. 
There are three files in the dataset: 
 
corrections_by_year.csv – number of articles corrected in each publication year 
corrections_by_category.csv – number of articles corrected in each Trove category 
corrections_by_title.csv – number of articles corrected in each newspaper  
The files are in CSV format and contain the following fields. 
corrections_by_year.csv 
 
term – the publication year 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_category.csv 
 
term – the category name 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_title.csv 
 
id – the Trove identitifer of the newsspaper title 
title – the name of the newspaper 
articles_with_corrections – the number of articles with corrections 
total_articles – the total number of articles from the newspaper in Trove 
percentage_with_corrections – the percentage of articles with corrections  
 
This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.
DOI: 10.5281/zenodo.13761546
title: GLAM-Workbench/trove-newspapers-corrections

description: Current version: v2.1 
 
OCR errors in Trove's digitised newspapers can be corrected by users. To help understand patterns in newspaper correction, this dataset has been created to record information about the number of articles with corrections. 
The data was extracted from the Trove API using this notebook from the Trove newspapers section of the GLAM Workbench. 
There are three files in the dataset: 
 
corrections_by_year.csv – number of articles corrected in each publication year 
corrections_by_category.csv – number of articles corrected in each Trove category 
corrections_by_title.csv – number of articles corrected in each newspaper  
The files are in CSV format and contain the following fields. 
corrections_by_year.csv 
 
term – the publication year 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_category.csv 
 
term – the category name 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_title.csv 
 
id – the Trove identitifer of the newsspaper title 
title – the name of the newspaper 
articles_with_corrections – the number of articles with corrections 
total_articles – the total number of articles from the newspaper in Trove 
percentage_with_corrections – the percentage of articles with corrections  
 
This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.
DOI: 10.5281/zenodo.12507383
title: GLAM-Workbench/trove-newspapers-corrections

description: Current version: v2.1 
 
OCR errors in Trove's digitised newspapers can be corrected by users. To help understand patterns in newspaper correction, this dataset has been created to record information about the number of articles with corrections. 
The data was extracted from the Trove API using this notebook from the Trove newspapers section of the GLAM Workbench. 
There are three files in the dataset: 
 
corrections_by_year.csv – number of articles corrected in each publication year 
corrections_by_category.csv – number of articles corrected in each Trove category 
corrections_by_title.csv – number of articles corrected in each newspaper  
The files are in CSV format and contain the following fields. 
corrections_by_year.csv 
 
term – the publication year 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_category.csv 
 
term – the category name 
total_results – the number of articles with corrections 
total_articles – the total number of articles 
proportion – the proportion of articles with corrections  
corrections_by_title.csv 
 
id – the Trove identitifer of the newsspaper title 
title – the name of the newspaper 
articles_with_corrections – the number of articles with corrections 
total_articles – the total number of articles from the newspaper in Trove 
percentage_with_corrections – the percentage of articles with corrections  
 
This repository is part of the GLAM Workbench. If you think this project is worthwhile, you might like to sponsor me on GitHub.
DOI: 10.15468/dl.t7s5s6
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Peru",
 "TaxonKey is Werneria Kunth"
 ]
}

 The dataset includes 402 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016099-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13742996
title: Whole-mantle P-wave isotropic and anisotropic tomography beneath Japan and adjacent regions

description: Dear readers,

A file named "Japan_ISO.dat" contains whole-mantle P-wave isotropic tompgraphy beneath Japan and surrounding regions.

The data format is as follows:1st column: depth (km) (F8.2)2nd column: latitude (deg) (F8.2)3rd column: longitude (deg) (F8.2)4th column: dVp (%) (F8.2)5th column: Ray hit count (I8)

These are values on grid points used for tomographic inversion.

A file named "Japan_AAN_iso.dat" contains isotropic component of whole-mantle P-wave azimuthal anisotropy (AAN) tompgraphy beneath Japan and surrounding regions. 

The data format is as follows:1st column: depth (km) (F8.2)2nd column: latitude (deg) (F8.2)3rd column: longitude (deg) (F8.2)4th column: dVp (%) (F8.2)5th column: Ray hit count (I8)

These are values on grid points used for tomographic inversion.

A file named "Japan_AAN_ai.dat" contains anisotropic component of whole-mantle P-wave azimuthal anisotropy (AAN) tompgraphy beneath Japan and surrounding regions. 

The data format is as follows:1st column: depth (km) (F10.3)2nd column: latitude (deg) (F10.3)3rd column: longitude (deg) (F10.3)4th column: Anisotropic amplitude (%) (F10.3)5th column: Fast velocity direction (deg) (F10.3)

These values are obtained by interpolation from the values at surrounding anisotropic grid points used for tomographic inversion.

We hope it is useful to you.

Kind wishes,

Genti Toyokuni & Dapeng ZhaoTohoku University, JapanE-mail: toyokuni@tohoku.ac.jp

Reference:Toyokuni, G., Zhao, D., & Takada, D. (2024).Whole-mantle isotropic and anisotropic tomography beneath Japan and adjacent regions.Journal of Geophysical Research: Solid Earth, under review.
DOI: 10.5281/zenodo.13742997
title: Whole-mantle P-wave isotropic and anisotropic tomography beneath Japan and adjacent regions

description: Dear readers,

A file named "Japan_ISO.dat" contains whole-mantle P-wave isotropic tompgraphy beneath Japan and surrounding regions.

The data format is as follows:1st column: depth (km) (F8.2)2nd column: latitude (deg) (F8.2)3rd column: longitude (deg) (F8.2)4th column: dVp (%) (F8.2)5th column: Ray hit count (I8)

These are values on grid points used for tomographic inversion.

A file named "Japan_AAN_iso.dat" contains isotropic component of whole-mantle P-wave azimuthal anisotropy (AAN) tompgraphy beneath Japan and surrounding regions. 

The data format is as follows:1st column: depth (km) (F8.2)2nd column: latitude (deg) (F8.2)3rd column: longitude (deg) (F8.2)4th column: dVp (%) (F8.2)5th column: Ray hit count (I8)

These are values on grid points used for tomographic inversion.

A file named "Japan_AAN_ai.dat" contains anisotropic component of whole-mantle P-wave azimuthal anisotropy (AAN) tompgraphy beneath Japan and surrounding regions. 

The data format is as follows:1st column: depth (km) (F10.3)2nd column: latitude (deg) (F10.3)3rd column: longitude (deg) (F10.3)4th column: Anisotropic amplitude (%) (F10.3)5th column: Fast velocity direction (deg) (F10.3)

These values are obtained by interpolation from the values at surrounding anisotropic grid points used for tomographic inversion.

We hope it is useful to you.

Kind wishes,

Genti Toyokuni & Dapeng ZhaoTohoku University, JapanE-mail: toyokuni@tohoku.ac.jp

Reference:Toyokuni, G., Zhao, D., & Takada, D. (2024).Whole-mantle isotropic and anisotropic tomography beneath Japan and adjacent regions.Journal of Geophysical Research: Solid Earth, under review.
DOI: 10.15468/dl.e55pv3
title: Occurrence Download

description: A dataset containing 59683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((114.69656 33.65425,123.73294 33.65425,123.73294 38.80467,114.69656 38.80467,114.69656 33.65425))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 2010-2024"
 ]
}

 The dataset includes 59683 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016101-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ekkuj
title: Occurrence Download

description: A dataset containing 360977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is DATAVES",
 "Year 1000-2024"
 ]
}

 The dataset includes 360977 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016100-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzv498
title: Occurrence Download

description: A dataset containing 47171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Martes martes (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 47171 records from 694 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016102-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27019540
title: Results.xls

description: From May 2016 to January 2021, 74 adults with closed diaphyseal tibial fractures underwent internal fixation with suprapatellar tibial IMNs at our institution. Of these 74 adults, 35 (Group A) underwent reduction assisted solely by an Esmarch bandage, and 39 (Group B) underwent reduction assisted by other techniques. The clinical and radiological outcomes (e.g., duration of surgery, intraoperative blood loss, quality of reduction, postoperative complications, and bone healing time) were recorded. The quality of reduction and bone healing was assessed through radiographs at each stage of follow-up.
DOI: 10.15468/dl.8xnrw4
title: Occurrence Download

description: A dataset containing 1604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Peru",
 "TaxonKey is Cinchona L."
 ]
}

 The dataset includes 1604 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016103-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13761570
title: QCA-2024-SCC-NW29791 R&D data

description: Project Code: QCA-2024-SCC-NW29791.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.5281/zenodo.13761571
title: QCA-2024-SCC-NW29791 R&D data

description: Project Code: QCA-2024-SCC-NW29791.This project is classified as CONFIDENTIAL. All information, data, and results associated with this project are strictly restricted to authorized personnel only. Any dissemination, distribution, or copying of the project details is strictly prohibited without prior approval from the project lead and the university's Office of Research Compliance.
DOI: 10.15468/dl.3ds2p9
title: Occurrence Download

description: A dataset containing 31802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 31802 records from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016104-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyvdvt
title: Occurrence Download

description: A dataset containing 10064 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stachytarpheta cayennensis (Rich.) Vahl"
 ]
}

 The dataset includes 10064 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016105-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbq2a3
title: Occurrence Download

description: A dataset containing 18073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((129.59885 1.24996,129.30249 -7.93713,141.02508 -10.07749,140.99216 0.32796,137.20536 3.65375,129.59885 1.24996))",
 "TaxonKey is Paradisaeidae"
 ]
}

 The dataset includes 18073 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041914-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwvvvk
title: Occurrence Download

description: A dataset containing 5231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paeonia anomala"
 ]
}

 The dataset includes 5231 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041912-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dcap3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tantilla nigriceps Kennicott, 1860",
 "Year 1950-2022"
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065963-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vyza6
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Echium hierrense Webb ex Bolle",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065961-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66matr
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Utricularia vulgaris L.",
 "Continent is North America",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 2022",
 "HasCoordinate is true"
 ]
}

 The dataset includes 446 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163344-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3whyrr
title: Occurrence Download

description: A dataset containing 11889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyrannus verticalis Say, 1823"
 ]
}

 The dataset includes 11889 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163477-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hce637
title: Occurrence Download

description: A dataset containing 4721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spathodea campanulata Beauverd",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4721 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065918-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nn358s
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Desmodium illinoense A.Gray",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 550 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259278-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6gp4y
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scorpaena uncinata de Buen, 1961"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065919-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8aqcy
title: Occurrence Download

description: A dataset containing 1135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nyctinomops femorosaccus (Merriam, 1889)"
 ]
}

 The dataset includes 1135 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125323-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duhzqh
title: Occurrence Download

description: A dataset containing 2440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynomys mexicanus Merriam, 1892"
 ]
}

 The dataset includes 2440 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163354-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up85qn
title: Occurrence Download

description: A dataset containing 38771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus ponderosa Douglas ex C.Lawson",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 38771 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082242-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ptd3m
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Deverra scoparia Coss. & Durieu",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 88 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259281-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhct82
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Panax wangianus S.C.Sun"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259782-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qnabm
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Siphocampylus bonplandianus Zahlbr."
 ]
}

 The dataset includes 18 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130247-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agp855
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eritrichium hemisphaericum W.T.Wang",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259791-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.