cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.na6dm3
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Pestalotia stevensonii Peck"
 ]
}

 The dataset includes 69 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000894-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsuawf
title: Occurrence Download

description: A dataset listing the 4795 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (COL.29.2_2, COL.29.9_2, COL.29.12_2, COL.29.17_2, COL.29.19_2, COL.29.24_2, COL.6.1_2, COL.6.17_2, COL.6.31_2, COL.14.1_2, COL.2.74_2)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4795 records were derived from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000869-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3zzvg
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.65525 43.36528,14.79479 43.36528,14.79479 49.75286,5.65525 49.75286,5.65525 43.36528))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psilocybe cyanescens Wakef."
 ]
}

 The dataset includes 164 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000896-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bek4nh
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Ramularia vizellae Crous"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000897-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13878217
title: A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia

description: This is the dataset for the NCST project "A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia" by the Georgia Tech research team.

 

Here is the abstract of the research: 

In this study, a modeling framework for population exposure to traffic-related PM2.5 with high spatiotemporal resolution is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis.  The analyses retrieved trip data from the Atlanta Regional Commission’s (ARC) Activity-Based Model 2020 (ABM2020), after implementing path retention algorithms (Zhao, et al., 2019) to generate individual travel paths for more than 20 million predicted vehicle trips.  Emission rates for each link were retrieved from MOVES-Matrix given the ABM link speed and facility type, the ARC’s county-level fleet composition data, and regional fuel properties and I&M program parameters.  High-resolution downwind concentration profiles were predicted using EPA’s AERMOD microscale dispersion model with AERMET meteorology profiles for a huge array of receptors.  Trip-end locations were derived from the ABM trip data, and the on-road trajectories for each person-trip (vehicle trace data) were derived from the travel paths through network. ABM synthetic household and person data were used in demographic assessment, and linked to representative household latitude and longitude locations in the Epsilon 2019 household demographic dataset.  Individual exposure to traffic-related PM2.5 in time and space (average hourly concentration) was assessed by overlaying the second-by-second person location profiles (for 24 hours) against the hourly predicted PM2.5 concentration profiles.  The analyses summarize the results across 16 demographic groups and the aggregate population exposure are compared to assess potential impact differences across demographics.  High-income households in the corridor were exposed to less traffic-related air pollution as they tended to live further from the freeways.  The analyses did not reveal large disproportionate negative impacts on low income groups along this specific corridor, but lager disproportionate negative impacts are expected elsewhere in the metro area due to the spatial clustering of income groups along other corridors. Overall, the research demonstrates the applicability of the modeling framework and describes how the various elements (e.g., link screening, dispersion modeling, path tracing, etc.) are optimized on the supercomputing cluster.
DOI: 10.5281/zenodo.13878218
title: A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia

description: This is the dataset for the NCST project "A Modeling Framework for Near-Road Population Exposure to Traffic-Related PM2.5 and Environmental Equity Analysis: A Case Study in Atlanta, Georgia" by the Georgia Tech research team.

 

Here is the abstract of the research: 

In this study, a modeling framework for population exposure to traffic-related PM2.5 with high spatiotemporal resolution is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis.  The analyses retrieved trip data from the Atlanta Regional Commission’s (ARC) Activity-Based Model 2020 (ABM2020), after implementing path retention algorithms (Zhao, et al., 2019) to generate individual travel paths for more than 20 million predicted vehicle trips.  Emission rates for each link were retrieved from MOVES-Matrix given the ABM link speed and facility type, the ARC’s county-level fleet composition data, and regional fuel properties and I&M program parameters.  High-resolution downwind concentration profiles were predicted using EPA’s AERMOD microscale dispersion model with AERMET meteorology profiles for a huge array of receptors.  Trip-end locations were derived from the ABM trip data, and the on-road trajectories for each person-trip (vehicle trace data) were derived from the travel paths through network. ABM synthetic household and person data were used in demographic assessment, and linked to representative household latitude and longitude locations in the Epsilon 2019 household demographic dataset.  Individual exposure to traffic-related PM2.5 in time and space (average hourly concentration) was assessed by overlaying the second-by-second person location profiles (for 24 hours) against the hourly predicted PM2.5 concentration profiles.  The analyses summarize the results across 16 demographic groups and the aggregate population exposure are compared to assess potential impact differences across demographics.  High-income households in the corridor were exposed to less traffic-related air pollution as they tended to live further from the freeways.  The analyses did not reveal large disproportionate negative impacts on low income groups along this specific corridor, but lager disproportionate negative impacts are expected elsewhere in the metro area due to the spatial clustering of income groups along other corridors. Overall, the research demonstrates the applicability of the modeling framework and describes how the various elements (e.g., link screening, dispersion modeling, path tracing, etc.) are optimized on the supercomputing cluster.
DOI: 10.58053/mapbiomas/yent41
title: Nota Técnica sobre Sedimentos em Suspensão na Bacia do Tapajós

description: Análise das possíveis causas do aumento de sedimentos na Bacia do Rio Tapajós, Pará.
DOI: 10.15468/dl.edq3py
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus platydactylus (Boulenger, 1903)"
 ]
}

 The dataset includes 169 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000898-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13898500
title: Long-term comparative study of the stability of nanofibrous materials from biodegradable polycaprolactone for skin wound dressing

description: This study deals with a long-term stability study of biodegradable polycaprolactone (PCL) nanofibrous dressings for skin applications, an important parameter for the storage of materials prior to actual application. Nanofibrous materials generally have suitable properties for regenerative medicine and tissue engineering, such as high porosity with small pore size, high areal density of fibers, large specific surface area, and these materials are able to mimic natural skin extracellular matrix with their fibrous structure.  These properties allow nanofibrous dressings to provide the required protection to damaged tissues while promoting the wound-healing process. However, the issue of their long-term stability and degradation behaviour is still under investigation. The aim of this study was to observe and compare the long-term stability of electrospun PCL nanofibrous dressings exposed to different storage conditions. The study focused on the effect of nanofibrous material parameters, which included the surface weight; the solvent system used during the preparation of the polymeric spinning solutions and last but not least, the effect of ethylene oxide sterilization on the stability of the nanofibrous planar dressing over a period of 6-12 months.

Keywords: Electrospinning, polycaprolactone, long-term stability, degradation, wound dressing
DOI: 10.5281/zenodo.13898501
title: Long-term comparative study of the stability of nanofibrous materials from biodegradable polycaprolactone for skin wound dressing

description: This study deals with a long-term stability study of biodegradable polycaprolactone (PCL) nanofibrous dressings for skin applications, an important parameter for the storage of materials prior to actual application. Nanofibrous materials generally have suitable properties for regenerative medicine and tissue engineering, such as high porosity with small pore size, high areal density of fibers, large specific surface area, and these materials are able to mimic natural skin extracellular matrix with their fibrous structure.  These properties allow nanofibrous dressings to provide the required protection to damaged tissues while promoting the wound-healing process. However, the issue of their long-term stability and degradation behaviour is still under investigation. The aim of this study was to observe and compare the long-term stability of electrospun PCL nanofibrous dressings exposed to different storage conditions. The study focused on the effect of nanofibrous material parameters, which included the surface weight; the solvent system used during the preparation of the polymeric spinning solutions and last but not least, the effect of ethylene oxide sterilization on the stability of the nanofibrous planar dressing over a period of 6-12 months.

Keywords: Electrospinning, polycaprolactone, long-term stability, degradation, wound dressing
DOI: 10.15468/dl.92bmgh
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Pestalotia vaccinii (Shear) Guba"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000900-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbhpks
title: Occurrence Download

description: A dataset containing 3133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Psilocybe semilanceata (Fr.) P.Kumm."
 ]
}

 The dataset includes 3133 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000899-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttc5u8
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Lithophane laticinerea Grote, 1874"
 ]
}

 The dataset includes 356 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000901-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ju6ch2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Ravenelia indica Berk."
 ]
}

 The dataset includes 55 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000902-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5erneq
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Pestalotiopsis breviseta (Sacc.) Steyaert"
 ]
}

 The dataset includes 43 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000903-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/113489
title: Petrological and geochemical data of the 2021 Fagradalsfjall eruption, Iceland

description: This is the dataset associated with the publication "The petrology and geochemistry of the 2021 Fagradalsfjall eruption, Iceland: an eruption sourced from multiple, compositionally diverse, near-Moho sills" by Marshall et al. (2024) in AGU Advances. The dataset includes the results of petrological and geochemical monitoring of the eruption: whole rock major elements, macrocryst-free matrix major and trace elements and radiogenic isotopes, and mineral (olivine, clinopyroxene, plagioclase) major element compositions from the entire 183 day-long eruption.
description: E. W. Marshall, A. Caracciolo, E. Bali, S. A. Halldórsson, S. Matthews, E. Ranta, M. B. Rasmussen, J. G. Robin, G. H. Guðfinnson, J. Maclennan, C. Bosq, D. Auclair, O. Sigmarsson, H. Merrill, B. Gísladóttir, S. Johnson, N. Löw, A. Stracke, F. Genske, 2024,The petrology and geochemistry of the 2021 Fagradalsfjall eruption, Iceland: an eruption sourced from multiple, compositionally diverse, near-Moho sills, AGU Advances.
DOI: 10.15468/dl.8bffv5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Fusarium robinianum (L.Lombard & Crous) T.Aoki, Geiser & O'Donnell"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000906-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwdade
title: Occurrence Download

description: A dataset containing 3941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is USA.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus californica Carrière"
 ]
}

 The dataset includes 3941 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000907-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hy27nj
title: Occurrence Download

description: A dataset containing 72029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Lithophane leautieri Boisduval, 1829"
 ]
}

 The dataset includes 72029 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000904-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gx7kc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Pestalotiopsis carveri (Guba) P.L.Zhu, Q.X.Ge & T.Xu"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000909-241007104925546/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.27183531
title: Source Data for paper "Membrane Lipid Nanodomains Modulate HCN Pacemaker Channels in Nociceptor DRG Neurons"

description: Lipid domains, particularly detergent-resistant, ordered membrane domains (OMDs), form specialized compartments within cell membranes that play critical roles in cell signaling. OMDs, rich in cholesterol and sphingolipids, vary in size and are dynamic, adapting to physiological changes. Techniques like super-resolution microscopy and cryo-electron tomography have revealed their structure, though much remains unknown.Lipid domains are implicated in various biological processes, including Alzheimer's disease, viral infections, inflammation, and neuropathic pain. Notably, in models of chemotherapy-induced neuropathy and arthritis, targeting these domains has alleviated symptoms, suggesting potential for therapeutic interventions.Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, particularly HCN2, regulate neuronal excitability and are linked to chronic pain. These channels localize within OMDs, and their function is modulated by lipid domain composition. Disruption of OMDs in nociceptor neurons enhances action potential firing and is associated with increased HCN channel activity, contributing to neuropathic pain. The study highlights the importance of lipid domains in modulating HCN channels, suggesting that their disruption may be a key mechanism in neuropathic pain development.
DOI: 10.15468/dl.saxa5e
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus cruralis (Boulenger, 1902)"
 ]
}

 The dataset includes 128 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000911-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usrnj2
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Rectifusarium ventricosum (Appel & Wollenw.) L.Lombard & Crous"
 ]
}

 The dataset includes 118 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000910-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12004521
title: TotalSegmentator segmentations and radiomics features for NCI Imaging Data Commons CT images

description: This dataset contributes volumetric segmentations of the anatomic regions in a subset of CT images available from NCI Imaging Data Commons [1] (https://imaging.datacommons.cancer.gov/) automatically generated using the TotalSegmentation model v1.5.6 [2]. The initial release includes segmentations for the majority of the CT scans included in the National Lung Screening Trial (NLST) collection [3], [4] already available in IDC. Direct link to open this analysis result dataset in IDC (available after release of IDC v18): https://portal.imaging.datacommons.cancer.gov/explore/filters/?analysis_results_id=TotalSegmentator-CT-Segmentations. 

Specifically, for each of the CT series analyzed, we include segmentations as generated by TotalSegmentator, converted into DICOM Segmentation object format using dcmqi v1.3.0 [5], and first order and shape features for each of the segmented regions, as produced by pyradiomics v3.0.1 [6]. Radiomics features were converted to DICOM Structured Reporting documents following template TID1500 using dcmqi. TotalSegmentator analysis on the NLST cohort was executed using Terra platform [7]. Implementation of the workflow that was used for performing the analysis is available at https://github.com/ImagingDataCommons/CloudSegmentator [8].

Due to the large size of the files, they are stored in the cloud buckets maintained by IDC, and the attached files are the manifests that can be used to download the actual files.

If you use the files referenced in the attached manifests, we ask you to cite this dataset and the preprint describing how it was generated [9].

Download instructions

Each of the manifests include instructions in the header on how to download the included files.

To download the files using .s5cmd manifests:



install idc-index package: pip install --upgrade idc-index

download the files referenced by manifests included in this dataset by passing the .s5cmd manifest file. E.g., idc download totalsegmentator_ct_segmentations_aws.s5cmd


Other files included in the record are:



firstorder and shape radiomics features extracted using pyradiomics, and organized one file per segmented structure (see README file in the zip file for details on how those are organized)



pyradiomics_features_csv.zip: saved in CSV format

pyradiomics_features_parquet.zip: saved in Parquet format