cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.49qdsg
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is IND",
 "GadmGid is IND.15_1",
 "GadmGid is IND.15.18_1"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Anogeissus Wall., 1831"
 ]
}

 The dataset includes 85 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272441-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be476c
title: Occurrence Download

description: A dataset containing 10715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-54.3921 -26.38453,-48.1393 -26.38453,-48.1393 -22.22009,-54.3921 -22.22009,-54.3921 -26.38453))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pitangus sulphuratus (Linnaeus, 1766)"
 ]
}

 The dataset includes 10715 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324397-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccnuun
title: Occurrence Download

description: A dataset containing 1024953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhamnaceae"
 ]
}

 The dataset includes 1024953 records from 1730 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238080-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7pya3
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((61.82 57.1,62.5 57.1,62.5 58.8,61.82 58.8,61.82 57.1))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020511-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2knzud
title: Occurrence Download

description: A dataset containing 52417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.5166 24.36711,-79.2041 24.36711,-79.2041 31.50363,-89.5166 31.50363,-89.5166 24.36711))",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "TaxonKey is Rynchops niger Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52417 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020512-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwjb6t
title: Occurrence Download

description: A dataset containing 14133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.92439 19.54258,-96.91488 19.54258,-96.91488 19.55184,-96.92439 19.55184,-96.92439 19.54258))",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 14133 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002905-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz9w9j
title: Occurrence Download

description: A dataset containing 36233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petasites albus (L.) Gaertn."
 ]
}

 The dataset includes 36233 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0224136-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2n4fu
title: Occurrence Download

description: A dataset containing 2209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allopeas gracile (T.Hutton, 1834)"
 ]
}

 The dataset includes 2209 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020513-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dikiqg
title: Occurrence Download

description: A dataset containing 14174145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 1899-2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14174145 records from 1630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020514-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emwrsj
title: Occurrence Download

description: A dataset containing 3622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (North America, South America)",
 "TaxonKey is Cathartes aura (Linnaeus, 1758)"
 ]
}

 The dataset includes 3622 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050035-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srqtv7
title: Occurrence Download

description: A dataset containing 2254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Coragyps atratus (Bechstein, 1793)"
 ]
}

 The dataset includes 2254 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050036-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13932143
title: Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture

description: Dataset associated with the publication "Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture".
DOI: 10.5281/zenodo.13932142
title: Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture

description: Dataset associated with the publication "Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture".

 

Changelog:

- Include sample input files for GCMC using RASPA2 and geometry optimization using LAMMPS.
DOI: 10.5281/zenodo.14563044
title: Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture

description: Dataset associated with the publication "Implementation of Genetic Algorithms to Optimize Metal-Organic Frameworks for CO2 Capture".

 

Changelog:

- Include sample input files for GCMC using RASPA2 and geometry optimization using LAMMPS.
DOI: 10.15468/dl.ua48yg
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Clowesia dodsoniana E.Aguirre"
 ]
}

 The dataset includes 105 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050037-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14563556
title: (Facilitating) learning in workshops to develop scenarios for short food supply chain initiatives

description: This data set contains five excerpts of transcripts of observed workshops aimed at creating scenarios for Short Food Supply Chain (SFSC) initiatives in Ghent, a Belgian city with approximately 250.000 residents. Ghent has launched a local food policy that aims to contribute to a transition towards a sustainable agri-food system. One of its strategic goals is to stimulate the SFSC and to create close relationships between local food producers and consumers. While there were already many established initiatives for stimulating SFSC at the level of business-to-consumer (B2C – farmers to individual customers), initiatives at business-to-business level (B2B – farmers to the catering industry, large kitchens and retail) were still scarce in Ghent. Yet, precisely these are assumed to have great potential of substantially increasing the volumes of food traded in this way. Therefore, the municipality launched a project to develop scenarios for new pilot experiments for B2B SFSC together with diverse local stakeholders: Farmers, representatives of the catering industry, retailers, chefs of restaurants, cooks in large kitchens, experts, civil servants, etc. Three scenarios were developed – one for a SFSC distribution platform, one for a knowledge platform, and one for a farmers’ network – through seven workshops. The excerpts in this dataset come from the two workshops where the participants developed a scenario for a SFSC distribution platform. 

These initiatives have been investigated as a case study in another project which focused on how urban sustainability transition initiatives can function as educative spaces to explore and create new possibilities for a more sustainable future. The selected excerpts have been analysed to gain insight into the learning taking place during the workshops, in particular the potential of learning processes and outcomes to enable transitions, and the influence of facilitators’ actions on participants’ learning. The excerpts are verbatim transcriptions of conversations between participants. They are a selection of a larger data set that have been pseudonymized and translated from Dutch to English for analyses described in articles.
DOI: 10.5281/zenodo.14563557
title: (Facilitating) learning in workshops to develop scenarios for short food supply chain initiatives

description: This data set contains five excerpts of transcripts of observed workshops aimed at creating scenarios for Short Food Supply Chain (SFSC) initiatives in Ghent, a Belgian city with approximately 250.000 residents. Ghent has launched a local food policy that aims to contribute to a transition towards a sustainable agri-food system. One of its strategic goals is to stimulate the SFSC and to create close relationships between local food producers and consumers. While there were already many established initiatives for stimulating SFSC at the level of business-to-consumer (B2C – farmers to individual customers), initiatives at business-to-business level (B2B – farmers to the catering industry, large kitchens and retail) were still scarce in Ghent. Yet, precisely these are assumed to have great potential of substantially increasing the volumes of food traded in this way. Therefore, the municipality launched a project to develop scenarios for new pilot experiments for B2B SFSC together with diverse local stakeholders: Farmers, representatives of the catering industry, retailers, chefs of restaurants, cooks in large kitchens, experts, civil servants, etc. Three scenarios were developed – one for a SFSC distribution platform, one for a knowledge platform, and one for a farmers’ network – through seven workshops. The excerpts in this dataset come from the two workshops where the participants developed a scenario for a SFSC distribution platform. 

These initiatives have been investigated as a case study in another project which focused on how urban sustainability transition initiatives can function as educative spaces to explore and create new possibilities for a more sustainable future. The selected excerpts have been analysed to gain insight into the learning taking place during the workshops, in particular the potential of learning processes and outcomes to enable transitions, and the influence of facilitators’ actions on participants’ learning. The excerpts are verbatim transcriptions of conversations between participants. They are a selection of a larger data set that have been pseudonymized and translated from Dutch to English for analyses described in articles.
DOI: 10.15468/dl.5g2fcy
title: Occurrence Download

description: A dataset containing 2238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2238 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050038-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aspf62
title: Occurrence Download

description: A dataset containing 66343 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización de fauna en diferentes gradientes altitudinales del departamento de Boyacá, Colombia"
 ]
}

 The dataset includes 66343 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050039-241126133413365/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.28102640
title: TUSNet Training Simulations

description: We are excited to present TUSNet, the first end-to-end deep learning model capable of computing transcranial ultrasound pressure fields and phase aberration corrections with high accuracy and efficiency. Outperforming traditional methods like k-Wave by over 1200X, TUSNet achieves 98.3% accuracy in peak pressure estimation with a computation time of only 21 milliseconds, providing a fast and accurate solution for non-invasive ultrasound-based therapies. This repository provides a small sample of the k-Wave simulations that we used to train TUSNet.
DOI: 10.6084/m9.figshare.28102640.v1
title: TUSNet Training Simulations

description: We are excited to present TUSNet, the first end-to-end deep learning model capable of computing transcranial ultrasound pressure fields and phase aberration corrections with high accuracy and efficiency. Outperforming traditional methods like k-Wave by over 1200X, TUSNet achieves 98.3% accuracy in peak pressure estimation with a computation time of only 21 milliseconds, providing a fast and accurate solution for non-invasive ultrasound-based therapies. This repository provides a small sample of the k-Wave simulations that we used to train TUSNet.
DOI: 10.15468/dl.axvg4b
title: Occurrence Download

description: A dataset containing 2721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is León",
 "TaxonKey is Agaricomycetes"
 ]
}

 The dataset includes 2721 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050041-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bygtw
title: Occurrence Download

description: A dataset containing 30500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nucella lapillus (Linnaeus, 1758)"
 ]
}

 The dataset includes 30500 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050042-241126133413365/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.28102670
title: SkullGAN Filtered Synthetic Skulls

description: To address the challenges of limited and heterogeneous skull CT data for training deep learning models in transcranial ultrasound (TUS) applications, we developed SkullGAN, a generative adversarial network designed to generate high-quality synthetic skull CT slices. SkullGAN leverages real CT data from 38 healthy subjects to produce synthetic images that closely mimic the radiological features of real skulls, as evaluated through skull density ratio, mean thickness, mean intensity, t-SNE analysis, a Fréchet inception distance (FID) score of 49, and a visual Turing test (VTT) with expert radiologists achieving 60% mean accuracy in distinguishing real from synthetic images. These synthetic skull slices were utilized to train TUSNet, a novel deep learning framework for end-to-end transcranial ultrasound simulation and phase aberration correction. TUSNet achieves unparalleled efficiency and accuracy, computing ultrasound pressure fields and phase corrections in 21 milliseconds (over 1200× faster than k-Wave) with a mean focal positioning error of 0.18 mm and 98.3% peak pressure accuracy. This dataset includes the 5,000 synthetic skull CTs that we sampled from SkullGAN for our training, along with indices of similar skulls that should be excluded to yield the TUSNet training set. More details about this filtering are available on the TUSNet Github repository. By publishing this data (and the SkullGAN model), we aim to advance TUS research by providing a scalable and accessible resource for training and validating deep learning models.
DOI: 10.6073/pasta/54bbc6ad3ca6fe8b3fc6ccb0ae7859f4
title: North Temperate Lakes LTER: Fish Species Richness 1981 - current

description: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Species richness for a lake is the number of fish species caught in that lake during the annual fish sampling. Hybrids captured are only included in the richness value if neither of the two hybridized species are caught in the lake that year. Fish identified only to genus or higher taxonomic level are not included if any fish identified to species within that genus or higher taxonomic level are caught. E.g., Unidentified Chub would be only included in the richness value if no other chub is caught in that lake that year. Sampling Frequency: annually. Number of sites: 11
 Notes: Beach seining was discontinued after 2019. 2020 data does not exist due to insufficient sampling. In 2021, sampling in Fish Lake was suspended due to significant lake level changes. Data is missing for the two bogs in 2022.
 Please consult NTL's website for information on experimental lake manipulations and the DNR's website for management activities
DOI: 10.15468/dl.xucqcy
title: Occurrence Download

description: A dataset containing 45534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus americanus Pallas, 1780"
 ]
}

 The dataset includes 45534 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050043-241126133413365/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.26784751
title: Shortest Covering Paths, Trails, and Other Walks

description: Input data and over 27,000 results for Shortest Covering Path Problem experiments from Matisziw (2024). View 'Readme.txt' for details about the files.<br>Matisziw, T.C. (2024). Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention. Computers, Environment, and Urban Systems.
DOI: 10.6084/m9.figshare.26784751.v1
title: Shortest Covering Paths, Trails, and Other Walks

description: Input data and over 27,000 results for Shortest Covering Path Problem experiments from Matisziw (2024). View 'Readme.txt' for details about the files.<br>Matisziw, T.C. (2024). Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention. Computers, Environment, and Urban Systems.
DOI: 10.15468/dl.dahbcd
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa soror Buysson, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 302 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050044-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndkfuh
title: Occurrence Download

description: A dataset containing 1522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is León",
 "TaxonKey is Ascomycota"
 ]
}

 The dataset includes 1522 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050045-241126133413365/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.28098074
title: Two new species of Placomaronea in Peru

description: ITS alignment and log files from iqtree and mrbayes.
DOI: 10.6073/pasta/525803168c27e89a5a8e52a7e39e6dee
title: Lake Wingra: Fish Abundance 1995 - current

description: Data are collected annually to enable us to track the fish assemblages of Lake Wingra. Sampling is done at six littoral zone sites per lake with a beach seine, minnow or crayfish traps, and fyke nets, while a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two nearshore sites per lake. Fish are identified to species. Lengths are measured for all fish caught, while weight and scale are collected from a subset. Derived data include catch per unit effort and size distribution by species, lake, and year. Protocol used to generate data: Number caught for each species is summed over repetitions of a gear within a lake and over depth. Sampling Frequency: annually. Number of sites: 1. Note that 2020 data does not exist due to insufficient sampling.
DOI: 10.15468/dl.y5gueh
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.85996 37.54088,25.14004 37.54088,25.14004 46.45912,2.85996 46.45912,2.85996 37.54088))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos marsicanus Altobello, 1921",
 "Year 2020-2024"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050046-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.