cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tucpj4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.315603 -32.975599, 148.315603 -32.98009, 148.32234 -32.98009, 148.32234 -32.982336, 148.326832 -32.982336, 148.326832 -32.986828, 148.335815 -32.986828, 148.335815 -32.98009, 148.331323 -32.98009, 148.331323 -32.973353, 148.329077 -32.973353, 148.329077 -32.971107, 148.326832 -32.971107, 148.326832 -32.973353, 148.32234 -32.973353, 148.32234 -32.975599, 148.315603 -32.975599)), ((148.315603 -32.975599, 148.315603 -32.973353, 148.313357 -32.973353, 148.313357 -32.975599, 148.315603 -32.975599)), ((148.331323 -32.973353, 148.335815 -32.973353, 148.335815 -32.96437, 148.338061 -32.96437, 148.338061 -32.959878, 148.342552 -32.959878, 148.342552 -32.957632, 148.344798 -32.957632, 148.344798 -32.955386, 148.342552 -32.955386, 148.342552 -32.950895, 148.335815 -32.950895, 148.335815 -32.955386, 148.329077 -32.955386, 148.329077 -32.959878, 148.331323 -32.959878, 148.331323 -32.973353)), ((148.326832 -32.971107, 148.326832 -32.966615, 148.32234 -32.966615, 148.32234 -32.971107, 148.326832 -32.971107)), ((148.329077 -32.955386, 148.329077 -32.950895, 148.331323 -32.950895, 148.331323 -32.948649, 148.326832 -32.948649, 148.326832 -32.955386, 148.329077 -32.955386)), ((148.331323 -32.948649, 148.335815 -32.948649, 148.335815 -32.944157, 148.331323 -32.944157, 148.331323 -32.948649)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056997-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgp7gr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.519351 -32.968861, 149.519351 -32.971107, 149.510368 -32.971107, 149.510368 -32.973353, 149.50363 -32.973353, 149.50363 -32.975599, 149.510368 -32.975599, 149.510368 -32.982336, 149.514859 -32.982336, 149.514859 -32.98009, 149.523842 -32.98009, 149.523842 -32.977844, 149.521597 -32.977844, 149.521597 -32.968861, 149.519351 -32.968861))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056998-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13274571
title: Example Analysis Output of Vizgen Mouse Brain Data

description: This is an example analysis output data from Vizgen Mouse Brain Data Analysis
DOI: 10.5281/zenodo.13274572
title: Example Analysis Output of Vizgen Mouse Brain Data

description: This is an example analysis output data from Vizgen Mouse Brain Data Analysis
DOI: 10.5281/zenodo.13274568
title: US Ozone Network (1980-2017)

description: # Data Repository Structure

The dataset is organized into state-specific folders, identified by the EPA state code for each U.S. state. Each state folder is structured into three primary subfolders as described below:

## Folder Organization

Each state folder contains the following subfolders:

### 1. Correlations/o3This subfolder houses yearly directories from 1980 to 2017. Each year-specific directory includes:- `Correlations.xlsx`: An Excel spreadsheet containing correlation data.- `nodeNames.pickle`: A serialized Python pickle file storing node names used in correlation analyses.- `correlations.pickle`: A serialized Python pickle file containing correlation matrices.

### 2. CorrelationsSummary- Contains summarized network data for each year from 1980 to 2017.

### 3. Data/o3- Includes pickled data files, storing data in a serialized format suitable for quick loading in Python environments.

## Usage

Each dataset is prepared for analysis and can be loaded using Python's `pickle` module or accessed via Excel for the `.xlsx` files. Ensure that your environment supports these formats to utilize the data effectively.

## Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## Contact

For any queries or further information, please contact harshit@cs.toronto.edu(mailto:harshit@cs.toronto.edu).
DOI: 10.5281/zenodo.13274569
title: US Ozone Network (1980-2017)

description: # Data Repository Structure

The dataset is organized into state-specific folders, identified by the EPA state code for each U.S. state. Each state folder is structured into three primary subfolders as described below:

## Folder Organization

Each state folder contains the following subfolders:

### 1. Correlations/o3This subfolder houses yearly directories from 1980 to 2017. Each year-specific directory includes:- `Correlations.xlsx`: An Excel spreadsheet containing correlation data.- `nodeNames.pickle`: A serialized Python pickle file storing node names used in correlation analyses.- `correlations.pickle`: A serialized Python pickle file containing correlation matrices.

### 2. CorrelationsSummary- Contains summarized network data for each year from 1980 to 2017.

### 3. Data/o3- Includes pickled data files, storing data in a serialized format suitable for quick loading in Python environments.

## Usage

Each dataset is prepared for analysis and can be loaded using Python's `pickle` module or accessed via Excel for the `.xlsx` files. Ensure that your environment supports these formats to utilize the data effectively.

## Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## Contact

For any queries or further information, please contact harshit@cs.toronto.edu(mailto:harshit@cs.toronto.edu).
DOI: 10.15468/dl.gpht4v
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eptesicus isabellinus (Temminck, 1840)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 70 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056999-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np22p7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.833763 -32.975599, 149.838254 -32.975599, 149.838254 -32.977844, 149.8405 -32.977844, 149.8405 -32.973353, 149.833763 -32.973353, 149.833763 -32.975599)), ((149.833763 -32.975599, 149.831517 -32.975599, 149.831517 -32.977844, 149.833763 -32.977844, 149.833763 -32.975599)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057000-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psqapn
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iberolacerta monticola (Boulenger, 1905)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1052 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057001-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6qj2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.39196 -32.975599, 148.39196 -32.98009, 148.398697 -32.98009, 148.398697 -32.975599, 148.39196 -32.975599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057002-240626123714530/datasets/export for details.
DOI: 10.15468/dl.n7yzb5
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.40768 -32.986828, 148.412172 -32.986828, 148.412172 -32.975599, 148.40768 -32.975599, 148.40768 -32.986828)), ((148.40768 -32.986828, 148.405435 -32.986828, 148.405435 -32.989073, 148.40768 -32.989073, 148.40768 -32.986828)))"
 ]
}

 The dataset includes 147 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057004-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vz2sa3
title: Occurrence Download

description: A dataset containing 3697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemorrhois hippocrepis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3697 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057005-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/7pra-9011
title: Parkes observations for project P737 semester 2024APRS_01

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. In particular for commissioning the National Facility observing modes for the wide-band receiver and the cryoPAF.
DOI: 10.15468/dl.9nrv9t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.603065 -32.955386, 148.603065 -32.957632, 148.598573 -32.957632, 148.598573 -32.959878, 148.603065 -32.959878, 148.603065 -32.96437, 148.598573 -32.96437, 148.598573 -32.966615, 148.603065 -32.966615, 148.603065 -32.975599, 148.596327 -32.975599, 148.596327 -32.98009, 148.605311 -32.98009, 148.605311 -32.96437, 148.607556 -32.96437, 148.607556 -32.966615, 148.612048 -32.966615, 148.612048 -32.96437, 148.614294 -32.96437, 148.614294 -32.959878, 148.607556 -32.959878, 148.607556 -32.957632, 148.605311 -32.957632, 148.605311 -32.955386, 148.603065 -32.955386))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057006-240626123714530/datasets/export for details.
DOI: 10.15468/dl.pm4fmb
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Turks and Caicos Islands",
 "TaxonKey is Stachytarpheta jamaicensis (L.) Vahl"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057007-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu7y8e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.625523 -32.975599, 148.625523 -32.982336, 148.634506 -32.982336, 148.634506 -32.98009, 148.627769 -32.98009, 148.627769 -32.975599, 148.625523 -32.975599)), ((148.634506 -32.982336, 148.634506 -32.984582, 148.641243 -32.984582, 148.641243 -32.982336, 148.634506 -32.982336)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057008-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.3761562.v3020
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.15468/dl.f448aa
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteronura brasiliensis Zimmermann, 1780"
 ]
}

 The dataset includes 97 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057009-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c6acp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.186973 -32.975599, 149.186973 -32.98009, 149.189218 -32.98009, 149.189218 -32.975599, 149.186973 -32.975599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057010-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13274562
title: Data for Deines et al. 2024 PNAS - Groundwater - Yield Interactions

description: Data needed to reproduce the original analyses and figures from Deines et al. 2024 "Observational evidence for groundwater influence on crop yields in the United States" (PNAS) can be found in the zipped `RepoData` folder.

This includes the point-level samples derived from the input yield map datasets, associated covariates, and model simulated water table depths. 

Unzipped file is ~2 gb; data is provided in a zipped folder to preserve file structure for best use with associated code repository located at https://doi.org/10.5281/zenodo.11393498

and mirrored on Github at https://github.com/jdeines/Deines_etal_2024_pnas_groundwaterYieldSubsidy
DOI: 10.15468/dl.89fbba
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.317229 -32.957632, 149.317229 -32.959878, 149.319475 -32.959878, 149.319475 -32.96437, 149.323966 -32.96437, 149.323966 -32.966615, 149.326212 -32.966615, 149.326212 -32.973353, 149.33295 -32.973353, 149.33295 -32.971107, 149.335195 -32.971107, 149.335195 -32.968861, 149.330704 -32.968861, 149.330704 -32.96437, 149.328458 -32.96437, 149.328458 -32.962124, 149.321721 -32.962124, 149.321721 -32.957632, 149.317229 -32.957632)), ((149.335195 -32.971107, 149.335195 -32.973353, 149.339687 -32.973353, 149.339687 -32.975599, 149.33295 -32.975599, 149.33295 -32.98009, 149.337441 -32.98009, 149.337441 -32.977844, 149.346424 -32.977844, 149.346424 -32.971107, 149.335195 -32.971107)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057011-240626123714530/datasets/export for details.
DOI: 10.25934/pr00010400
title: 2024 Vivli AMR Surveillance Data Challenge

description: Antimicrobial resistance (AMR) poses a significant threat to global health by rendering antibiotics and other antimicrobial agents ineffective against infections. This can lead to prolonged illness, higher medical costs, and increased mortality. To combat AMR, it is essential to gather and analyze comprehensive data on the occurrence, spread, and resistance patterns of antimicrobial-resistant infections. Currently, one of the major challenges in AMR research is the lack of accessible and high-quality surveillance data.

Proposed Research:
Our proposed research aims to analyze AMR surveillance data to gain valuable insights that can drive improvements in patient outcomes, strengthen antimicrobial stewardship, inform public health practices, and fortify health systems. By leveraging this data, we hope to make meaningful contributions to the global fight against AMR.

Public health authorities rely on accurate data to formulate policies and strategies to combat AMR. Our analysis will offer evidence-based recommendations for surveillance, prevention, and control measures. This will help in designing effective public health campaigns and policies aimed at reducing the spread of resistant infections in the community.
DOI: 10.6084/m9.figshare.26488177
title: Simulated sea level variation around Prince Edward Island, Canada

description: This is the simulated sea level variation rebuilding for the nearshore areas around Prince Edward Island (PEI), Canada. The Fisheries and Oceans Canada only has one permanent tide observation station running in PEI, which is the Charlottetown Tide Station. This simulation is to break through the limitation of the lack of long-term high-temporal-resolution regional sea level record around PEI, which applies to several locations with historic short-term records of temporary tide stations across PEI.The principle of this rebuilding is that - the water levels of each selected temporary tide station have the linear correlation with a geographically-connected permanent station, which generally has a significantly longer-term of record and can be used as its reference station. The correlations between the temporary stations and their reference stations can be got once they have the temporally-overlapped records and their coefficient of determination (R-squared) is over 0.6.It should be noted that the availability of the record of the simulated rebuilding for the locations of temporary stations fully depends on their reference stations. There are some unavoidable data losses in the records of the selected permanent stations, which could result from equipment failure, extreme weather, equipment maintenance, and etc. So, if the reference stations have any lost data points, they will be reflected in the simulated data for the associated temporary stations.The original records of the water levels can be found at the Canadian Tides and Water Levels Data Archive. The datums used in this dataset are Chart Datums (CDs), and the temporal resolution is hourly. More details of this dataset will be provided in the data descriptor of us.
DOI: 10.6084/m9.figshare.26488177.v1
title: Simulated sea level variation around Prince Edward Island, Canada

description: This is the simulated sea level variation rebuilding for the nearshore areas around Prince Edward Island (PEI), Canada. The Fisheries and Oceans Canada only has one permanent tide observation station running in PEI, which is the Charlottetown Tide Station. This simulation is to break through the limitation of the lack of long-term high-temporal-resolution regional sea level record around PEI, which applies to several locations with historic short-term records of temporary tide stations across PEI.The principle of this rebuilding is that - the water levels of each selected temporary tide station have the linear correlation with a geographically-connected permanent station, which generally has a significantly longer-term of record and can be used as its reference station. The correlations between the temporary stations and their reference stations can be got once they have the temporally-overlapped records and their coefficient of determination (R-squared) is over 0.6.It should be noted that the availability of the record of the simulated rebuilding for the locations of temporary stations fully depends on their reference stations. There are some unavoidable data losses in the records of the selected permanent stations, which could result from equipment failure, extreme weather, equipment maintenance, and etc. So, if the reference stations have any lost data points, they will be reflected in the simulated data for the associated temporary stations.The original records of the water levels can be found at the Canadian Tides and Water Levels Data Archive. The datums used in this dataset are Chart Datums (CDs), and the temporal resolution is hourly. More details of this dataset will be provided in the data descriptor of us.
DOI: 10.15468/dl.2pq8kr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.449731 -32.975599, 149.449731 -32.98009, 149.447485 -32.98009, 149.447485 -32.982336, 149.449731 -32.982336, 149.449731 -32.989073, 149.454223 -32.989073, 149.454223 -32.977844, 149.456469 -32.977844, 149.456469 -32.975599, 149.449731 -32.975599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057013-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5khspa
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Turks and Caicos Islands",
 "TaxonKey is Solanum bahamense L."
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057015-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzc9ht
title: Occurrence Download

description: A dataset containing 34674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hierophis viridiflavus (Lacépède, 1789)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 34674 records from 1148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057014-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u26d3z
title: Occurrence Download

description: A dataset containing 2667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alchornea triplinervia (Spreng.) Müll.Arg."
 ]
}

 The dataset includes 2667 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186041-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghg5bt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heliocheilus bimaculata Moore, 1888",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209057-220831081235567/datasets/export for details.
DOI: 10.48597/5dbu-ygv2
title: Measurement of Heavy metals at Rucava

description: Measurement of Heavy metals at Rucava
DOI: 10.15468/dl.gtzu7b
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andropogon festuciformis Rendle",
 "Continent is Africa"
 ]
}

 The dataset includes 100 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000246-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cfzwx
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Cochlostoma Jan, 1830 revised: an overview of the subgenus Turritus Westerlund, 1883 and its species (Caenogastropoda, Cochlostomatidae)",
 "Country is Croatia"
 ]
}

 The dataset includes 52 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000247-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.