cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sps6qz
title: Occurrence Download

description: A dataset containing 1326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.59091 -18.87492,-68.98361 -17.96267,-68.45734 -16.00983,-67.93611 -12.14476,-70.216 -8.81262,-72.45204 -7.45346,-69.60218 -4.82283,-69.47065 -3.37598,-69.95293 -1.66607,-75.52111 0.56997,-76.74874 -0.96457,-79.29168 -3.55136,-80.73853 -2.80601,-82.44844 -5.69971,-76.70489 -15.21383,-70.59091 -18.87492))",
 {
 "or" : [
 "TaxonKey is Camponotus Mayr, 1861",
 "TaxonKey is Camponotus Forel, 1891"
 ]
 }
 ]
}

 The dataset includes 1326 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266001-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vedf9g
title: Occurrence Download

description: A dataset containing 26734 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Database of Vascular Plants of Himalaya"
 ]
}

 The dataset includes 26734 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014214-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uta4z
title: Occurrence Download

description: A dataset containing 2943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudomys novaehollandiae (Waterhouse, 1843)"
 ]
}

 The dataset includes 2943 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014606-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdxfvh
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.64723 13.24421,-80.35277 13.24421,-80.35277 27.75579,-116.64723 27.75579,-116.64723 13.24421))",
 "HasCoordinate is true",
 "TaxonKey is Cyanolyca nanus (Du Bus de Gisignies, 1847)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 777 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014209-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckexz4
title: Occurrence Download

description: A dataset containing 1263024 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Botanical Database of Southern Africa (BODATSA): Botanical Collections"
 ]
}

 The dataset includes 1263024 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043594-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r88czs
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA)",
 "MediaType is Image",
 "TaxonKey is Lacistemataceae"
 ]
}

 The dataset includes 164 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013390-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f7wtr
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coreopsis glaucodes S.F.Blake & Sherff"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015403-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em59yh
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus intermedius (Graves, 1819)"
 ]
}

 The dataset includes 77 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014222-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp7s9h
title: Occurrence Download

description: A dataset containing 904296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 904296 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033589-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6e4n6
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erica extrusa Compton"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043606-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atoi8z
title: Occurrence Download

description: A dataset containing 8154841 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 8154841 records from 2062 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014213-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxmbaa
title: Occurrence Download

description: A dataset containing 3225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmorhiza chilensis Hook. & Arn."
 ]
}

 The dataset includes 3225 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003853-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8eahd
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-110.95912 33.81858,-118.56633 25.05876,-101.96878 10.76642,-84.67966 14.45477,-85.83227 20.21781,-98.74147 29.66919,-110.95912 33.81858))",
 "TaxonKey is Athyrium bourgaei E.Fourn."
 ]
}

 The dataset includes 45 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001356-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14590284
title: Early-life paternal relationships predict adult female survival in wild baboons

description: The repository contains the processed data to generate and run the analysis for the  "Early-life paternal relationships predict adult female survival in wild baboons" by Jansen et al.

The code for this paper can be found at https://github.com/david-awam-jansen/BaboonPaternalRelationshipsSurvival.

These final datasets have been anonymized. The key to returning to the original snames is available up on request.
DOI: 10.5281/zenodo.14590285
title: Early-life paternal relationships predict adult female survival in wild baboons

description: The repository contains the processed data to generate and run the analysis for the  "Early-life paternal relationships predict adult female survival in wild baboons" by Jansen et al.

The code for this paper can be found at https://github.com/david-awam-jansen/BaboonPaternalRelationshipsSurvival.

These final datasets have been anonymized. The key to returning to the original snames is available up on request.
DOI: 10.5281/zenodo.14719425
title: 20250122_1636_SE fractions with spotter

description: Prodigiosin-Serratiochelin

Serratamolide A

Serratamolide B

Serratamolide C
DOI: 10.5281/zenodo.14719426
title: 20250122_1636_SE fractions with spotter

description: Prodigiosin-Serratiochelin

Serratamolide A

Serratamolide B

Serratamolide C
DOI: 10.15161/oar.it/212066
title: Carta Geologica d'Italia alla scala 1:50.000, F. 285 Volterra

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1992 e il 1996) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/212067
title: Carta Geologica d'Italia alla scala 1:50.000, F. 285 Volterra

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 1992 e il 1996) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.25345/c5nz81269
title: MassIVE MSV000096909 - Effect of menstrual blood-derived mesenchymal stromal cell secretomes on macrophage polarization: therapeutic insights
title: Menstrual blood-derived mesenchymal stromal cells (MenSCs) are a promising alternative source of MSCs for clinical applications due to their unique advantages, including easy isolation and high proliferative capacity. They possess immunomodulatory and regenerative capabilities, interacting with immune cells like macrophages and promoting tissue repair. While MenSCs hold therapeutic potential, cell-based therapies face limitations such as low survival rates and unpredictable paracrine activity. Therefore, utilizing the MenSC-derived secretome offers a potentially more effective therapeutic strategy. This study investigates the immunomodulatory capacity of the MenSC-derived secretome on macrophage differentiation, polarization, and repolarization. Here, label-free mass spectrometry analyses were conducted to identify the key immunomodulatory proteins involved in the effects of the MenSC-derived secretome. This research provides novel insights into the MenSC secretome's impact on macrophage modulation, paving the way for developing innovative cell-free therapies for immune and inflammatory diseases.
DOI: 10.5281/zenodo.14589110
title: Integrated Modeling Program and Total Cost of Ownership Calculator for Medium-Duty and Heavy-Duty Battery Electric Trucks in Regional Freight Use-Case Deployments

description: This is the data repository for the NCST project titled "Integrated Modeling Program and Total Cost of Ownership Calculator for Medium-Duty and Heavy-Duty Battery Electric Trucks in Regional Freight Use-Case Deployments."  The abstract of the project is as follows.

 

This report outlines the technical development and application of the Total Cost of Ownership Spreadsheet Tool (TCOST), a Microsoft Excel-based calculator that simplifies and integrates the main functions, data, and outputs of pre-existing models (MOVES-Matrix and the GREET Model) and other external sources of economic data. The tool accommodates twenty-one user-input variables to produce comparative total cost of ownership figures for diesel and battery-electric trucks within any use case, broken down by cost type (capital, operation, and maintenance), both as a gross number and on a per-mile basis. The tool also provides a series of visualizations comparing cost breakdowns, breakeven points, and expected tailpipe and fuel-cycle emissions for both technologies. A hypothetical regional container drayage use-case example was developed using quantitative and qualitative data, to which TCOST was applied to demonstrate the application of the tool and its value to fleet managers and policymakers in its ability to model the cost effects of minor parameter adjustments or the multiplicative effects of simultaneous parameter adjustments quickly and easily. TCOST may be used to help inform the decision-making process for fleet vehicle acquisition and planning, helping decision makers to visualize a variety of future scenarios and map those scenarios onto their fleet operations to assess risks and make informed choices about the future technological makeup of their fleets. TCOST will help policymakers quickly model the cost impacts of potential policy levers from a business perspective.
DOI: 10.5281/zenodo.14589111
title: Integrated Modeling Program and Total Cost of Ownership Calculator for Medium-Duty and Heavy-Duty Battery Electric Trucks in Regional Freight Use-Case Deployments

description: This is the data repository for the NCST project titled "Integrated Modeling Program and Total Cost of Ownership Calculator for Medium-Duty and Heavy-Duty Battery Electric Trucks in Regional Freight Use-Case Deployments."  The abstract of the project is as follows.

 

This report outlines the technical development and application of the Total Cost of Ownership Spreadsheet Tool (TCOST), a Microsoft Excel-based calculator that simplifies and integrates the main functions, data, and outputs of pre-existing models (MOVES-Matrix and the GREET Model) and other external sources of economic data. The tool accommodates twenty-one user-input variables to produce comparative total cost of ownership figures for diesel and battery-electric trucks within any use case, broken down by cost type (capital, operation, and maintenance), both as a gross number and on a per-mile basis. The tool also provides a series of visualizations comparing cost breakdowns, breakeven points, and expected tailpipe and fuel-cycle emissions for both technologies. A hypothetical regional container drayage use-case example was developed using quantitative and qualitative data, to which TCOST was applied to demonstrate the application of the tool and its value to fleet managers and policymakers in its ability to model the cost effects of minor parameter adjustments or the multiplicative effects of simultaneous parameter adjustments quickly and easily. TCOST may be used to help inform the decision-making process for fleet vehicle acquisition and planning, helping decision makers to visualize a variety of future scenarios and map those scenarios onto their fleet operations to assess risks and make informed choices about the future technological makeup of their fleets. TCOST will help policymakers quickly model the cost impacts of potential policy levers from a business perspective.
DOI: 10.6084/m9.figshare.28255205
title: R-loop clusters by technique

description: HEK293 R-loop peak clusters generated applying k-means to DRIP-seq, MapR and R-loop CUT&TAG peaks.
DOI: 10.6084/m9.figshare.28255205.v1
title: R-loop clusters by technique

description: HEK293 R-loop peak clusters generated applying k-means to DRIP-seq, MapR and R-loop CUT&TAG peaks.
DOI: 10.5281/zenodo.14719264
title: A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments: Analysis data and code

description: This archive contains the source code and raw data required for reproducing the figures from the manuscript "A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments", accepted for publication by the journal Methods in Ecology and Evolution on 2025-01-20.

All analysis scripts are located in the root directory, and are prefixed by script_. Here, scripts are required to be run in the order indicated by the numbers in their file names.

There are two analysis here, the real case study,_casestudy_, and the simulated analysis, _simstudy_. The results for each analysis are returned as png files in the directory ./figures. Each analysis script will return a serialized R data object, rds, which will in turn be used by the next numbered script in that analysis.

A Makefile and Rproj file are included. On UNIX systems, one can simply open the R project and execute the Makefile in R studio by pressing Build All under the build panel. Alternatively, the makefile can be called form the terminal with $ make all. If the makefile doesn't work on your system, you can simply make a directory named ./figures to hold the results and then run each script in order for a given analysis.

The following R packages are required for this analysis. The versions numbers used in the manuscript are given.





sf: 1.0-16




chi: 0.1




data.table: 1.16.4




yaps: 1.2.5




terra: 1.7-71




grDevices: 4.4.0




mvtnorm: 1.2-4



Note that YAPS was archived from the CRAN at the time of writing.

The directory ./code holds functions that may be of interest to others.





ctcrw_main.R holds a custom implementation of a continuous-time correlated random walk model. Here, measurement error covariance matrices can be passed directly to the Kalman filter, unlike the implementation provided in the crawl package.




gnorm.R holds the PDF and CDF functions for the generalized normal distribution.




TDOA.R holds functions for time-difference-of-arrival positioning, along with a closed-form solutions for the Jacobian of the TDOA function used in the analysis.




pmc_main.R & pmc_internal.R hold the functions for population Monte Carlo positioning.



Examples of how to use these functions are given in the supplementary material document, Supplementary_material.rmd.
DOI: 10.5281/zenodo.14719265
title: A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments: Analysis data and code

description: This archive contains the source code and raw data required for reproducing the figures from the manuscript "A population Monte Carlo model for underwater acoustic telemetry positioning in reflective environments", accepted for publication by the journal Methods in Ecology and Evolution on 2025-01-20.

All analysis scripts are located in the root directory, and are prefixed by script_. Here, scripts are required to be run in the order indicated by the numbers in their file names.

There are two analysis here, the real case study,_casestudy_, and the simulated analysis, _simstudy_. The results for each analysis are returned as png files in the directory ./figures. Each analysis script will return a serialized R data object, rds, which will in turn be used by the next numbered script in that analysis.

A Makefile and Rproj file are included. On UNIX systems, one can simply open the R project and execute the Makefile in R studio by pressing Build All under the build panel. Alternatively, the makefile can be called form the terminal with $ make all. If the makefile doesn't work on your system, you can simply make a directory named ./figures to hold the results and then run each script in order for a given analysis.

The following R packages are required for this analysis. The versions numbers used in the manuscript are given.





sf: 1.0-16




chi: 0.1




data.table: 1.16.4




yaps: 1.2.5




terra: 1.7-71




grDevices: 4.4.0




mvtnorm: 1.2-4



Note that YAPS was archived from the CRAN at the time of writing.

The directory ./code holds functions that may be of interest to others.





ctcrw_main.R holds a custom implementation of a continuous-time correlated random walk model. Here, measurement error covariance matrices can be passed directly to the Kalman filter, unlike the implementation provided in the crawl package.




gnorm.R holds the PDF and CDF functions for the generalized normal distribution.




TDOA.R holds functions for time-difference-of-arrival positioning, along with a closed-form solutions for the Jacobian of the TDOA function used in the analysis.




pmc_main.R & pmc_internal.R hold the functions for population Monte Carlo positioning.



Examples of how to use these functions are given in the supplementary material document, Supplementary_material.rmd.
DOI: 10.6084/m9.figshare.28195001
title: Enterobacter cloacae wgMLST scheme.

description: Backup of the BioNumerics Enterobacter cloacae wgMLST scheme.
DOI: 10.6084/m9.figshare.28195001.v3
title: Enterobacter cloacae wgMLST scheme.

description: Backup of the BioNumerics Enterobacter cloacae wgMLST scheme.
DOI: 10.6084/m9.figshare.28195001.v2
title: Enterobacter cloacae wgMLST scheme.

description: Backup of the BioNumerics Enterobacter cloacae wgMLST scheme.
DOI: 10.15468/dl.rwc5m7
title: Occurrence Download

description: A dataset containing 28581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2020",
 "Geometry POLYGON ((20.95709 63.26678, 20.95709 63.47638, 22.12934 63.47638, 22.12934 63.26678, 20.95709 63.26678))"
 ]
}

 The dataset includes 28581 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001358-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14719496
title: Food Banks and Social Impact: an overview through the lens of SDGs. Dataset and Images
DOI: 10.5281/zenodo.14719497
title: Food Banks and Social Impact: an overview through the lens of SDGs. Dataset and Images
DOI: 10.15161/oar.it/212068
title: Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 285 Volterra, Servizio Geologico d'Italia - ISPRA

description: Note illustrative redatte per il Foglio geologico n. 285 Volterra della Carta Geologica d'Italia alla scala 1:50.000. 154 pp.
DOI: 10.15161/oar.it/212069
title: Note Illustrative della Carta geologica d'Italia alla scala 1:50.000, F. 285 Volterra, Servizio Geologico d'Italia - ISPRA

description: Note illustrative redatte per il Foglio geologico n. 285 Volterra della Carta Geologica d'Italia alla scala 1:50.000. 154 pp.
DOI: 10.6084/m9.figshare.28195067
title: Enterococcus faecalis wgMLST scheme.

description: Backup of the BioNumerics Enterococcus faecalis wgMLST scheme.
DOI: 10.6084/m9.figshare.28195067.v2
title: Enterococcus faecalis wgMLST scheme.

description: Backup of the BioNumerics Enterococcus faecalis wgMLST scheme.
DOI: 10.6084/m9.figshare.28195067.v3
title: Enterococcus faecalis wgMLST scheme.

description: Backup of the BioNumerics Enterococcus faecalis wgMLST scheme.
DOI: 10.15468/dl.mfktsq
title: Occurrence Download

description: A dataset containing 4473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2020",
 "Geometry POLYGON ((26.81255 67.60753, 26.81255 67.91064, 27.69283 67.91064, 27.69283 67.60753, 26.81255 67.60753))"
 ]
}

 The dataset includes 4473 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001362-250121130708018/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.28195145
title: Enterococcus faecium wgMLST scheme.

description: Backup of the BioNumerics Enterococcus faecium wgMLST scheme.
DOI: 10.6084/m9.figshare.28195145.v2
title: Enterococcus faecium wgMLST scheme.

description: Backup of the BioNumerics Enterococcus faecium wgMLST scheme.
DOI: 10.34683/sr2580
title: StoneRounds Case: SR2580
title: AR Stargardt Disease

description: StoneRounds Case SR2580 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.
DOI: 10.34683/sr2591
title: StoneRounds Case: SR2591
title: AR Stargardt Disease

description: StoneRounds Case SR2591 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.