cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v58grq
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023651-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sgxdv
title: Occurrence Download

description: A dataset containing 932363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-07-25",
 "EventDate is less than or equal to 2024-08-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 932363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023581-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.16649530
title: Network: lter, Domain: arctic

description: MacroSheds timeseries data, shapefiles, and metadata for domain: arctic, within network: lter
DOI: 10.6084/m9.figshare.16649530.v1
title: Network: lter, Domain: arctic

description: MacroSheds timeseries data, shapefiles, and metadata for domain: arctic, within network: lter
DOI: 10.15468/dl.tpfext
title: Occurrence Download

description: A dataset containing 75590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.86812 44.69344,-65.75434 42.97977,-48.47182 45.22487,-51.93753 59.28287,-69.16907 61.66623,-68.86812 44.69344))",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 75590 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023653-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8munqp
title: Occurrence Download

description: A dataset containing 126273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 126273 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023642-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f1hh6hjx
title: The Sacramento-San Joaquin Delta genus and community level classification maps derived from airborne spectroscopy data

description: Since 2004, airborne hyperspectral imagery has been acquired over the Sacramento - San Joaquin Delta in northern California to map submerged and floating invasive species and study how they affect the Delta ecosystem. Acquiring imagery over 2220 square kilometers of the Delta typically required 60-70 flightlines each year, which were then further processed to surface reflectance, georegistered, and prepared for analysis. Further, each flightline was processed using multiple spectral mapping methods such as spectral angle mapper, spectral mixture analysis, spectral indexes, and continuum removal over water and cellulose absorption bands. The outputs of these transformations were used as inputs to a Random Forests classifier. Concurrent with image acquisition, field data (800-2000 points) were collected across the Delta for training and validation of the classification products. The field data were divided into test and training polygons. These polygons were overlaid on the transformed files and pixel data were extracted corresponding to the polygons. The training data were used to train the Random Forests classifier to identify 10 classes (water, submerged aquatic vegetation, emergent marsh, soil, non-photosynthetic vegetation, water hyacinth, water primrose, pennywort, shadow, riparian vegetation). The classifier was validated quantitatively using the test data at both pixel and polygon level using overall accuracy and kappa metrics. The classifier was then applied to all flightlines and class maps were produced. Mosaics of these class maps are published in this dataset.
DOI: 10.15468/dl.b7egsh
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Petunia guarapuavensis T.Ando & Hashim."
 ]
}

 The dataset includes 137 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023655-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpgqwx
title: Occurrence Download

description: A dataset containing 18242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-144.14519 -54.36176,-29.70306 -54.36176,-29.70306 57.02628,-144.14519 57.02628,-144.14519 -54.36176))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Conium maculatum L."
 ]
}

 The dataset includes 18242 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023654-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xz8xnh
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Narcissus obsoletus (Haw.) Steud., 1841"
 ]
}

 The dataset includes 160 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023656-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c51834d8m
title: MassIVE MSV000095906 - Bunodosoma protein from Gulf of Mexico
title: Thermal stress-related proteins from the Gulf of Mexico sea anemone Bunodosoma
DOI: 10.15468/dl.3es4pc
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.12_1",
 "Geometry POLYGON((105.84298 -3.29004,115.56997 -3.29004,115.56997 0.59904,105.84298 0.59904,105.84298 -3.29004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prinia flaviventris (Delessert, 1840)"
 ]
}

 The dataset includes 34 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023657-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.16649560.v1
title: Network: lter, Domain: baltimore

description: MacroSheds timeseries data, shapefiles, and metadata for domain: baltimore, within network: lter
DOI: 10.6084/m9.figshare.26964265
title: <b>English housing, sociodemographic, environmental and mental health data at LSOA level</b>

description: This section describes the mental health, housing, sociodemographic and environment variables and the data sources from which they are derived. All data comes from open-source databases. Where possible, data from 2015 has been used to match ONS data on indices of deprivation (only available in 2010, 2015 and 2019). Data from 2015 was not available for EPCs, household size, and environmental exposures.Clinical mental health data is available from the Place-based Longitudinal Data Resource (PLDR), managed by the University of Liverpool, which provides annual data from a variety of sources (e.g. hospital admissions data, budgetary data, prescribing data) at LSOA level. It is used by researchers, practitioners, and government to track changes in health indicators over time. https://pldr.org/search?type=dataset Housing and home energy efficiency data is derived from EPCs, a requirement for homes built, sold, or rented since the introduction of the policy in 2008 (HM Government 2024). EPC data were aggregated using medians, modes, and proportions at LSOA level for this study. The EPC dataset is comprised of 24,736,816 homes, with EPCs recorded between 1st October 2008 and 31<sup>st</sup> May 2023. For homes with multiple EPCs (N=3,798,313), the most recent is used, but missing data is filled from the most recent previous certificates. EPCs were linked to 2011 census LSOAs by postcode using the National Statistics Postcode Lookup (ONS 2022). https://epc.opendatacommunities.org/Demographic data such as age, gender and deprivation indicators originate from the 2011 census or other Office for National Statistics (ONS) sources.The Access to Health Assets and Hazards (AHAH v2) dataset was used for environmental exposures including air pollution and access to green space (Daras et al. 2019). AHAH is a multi-dimensional index developed by the Consumer Data Research Centre (CDRC) for Great Britain. It is used to provide an index for how ‘healthy’ a local area is. https://pldr.org/dataset/2z9yv/ahah-version-2-access-to-healthy-assets-and-hazardsFinally, HadUK-Grid data at 1x1 km resolution was used to estimate winter (December, January and February) ambient temperatures (Met Office 2023).<br><br>
DOI: 10.5281/zenodo.13799799
title: panaspis_annettesabinae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.13799800
title: panaspis_annettesabinae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.13785805
title: Microscopy image data of a titration series with DNA surface strands and condensate-forming DNA nanomotifs

description: The dataset contains microscopy image data of DNA-nanomotifs (color channel 2) that can form liquid-like condensates, especially in association with target DNA strands that can act as condensation surfaces (color channel 1). The data were recorded on a VisiTech iSIM microscopy with a 40X water immersion objective. The file names contain the flow channel number, the presence of condensation surfaces (SX4), and the amount of added nanomotif solution in microliters (NX in ul).

This repository contains data recorded on 13 March, 2023

There is another data set of the same conditions recorded on 10 March, 2023
DOI: 10.5281/zenodo.13785804
title: Microscopy image data of a titration series with DNA surface strands and condensate-forming DNA nanomotifs

description: The dataset contains microscopy image data of DNA-nanomotifs (color channel 2) that can form liquid-like condensates, especially in association with target DNA strands that can act as condensation surfaces (color channel 1). The data were recorded on a VisiTech iSIM microscopy with a 40X water immersion objective (Apo LWD 40x WI λS DIC N2, NA 1.15). Images were recorded using dual ORCA-Flash4.0 V3 cameras with simultaneous two-channel acquisition to avoid displacement of objects due to consecutive acquisition of color channels. The file names contain the flow channel number, the presence of condensation surfaces (SX4), and the amount of added nanomotif solution in microliters (NX in µl).

The image files are in the .nd2 Nikon proprietary format, but can be read with the OME bioformats libraries.

Scripts for the analysis of these data are available via a GitHub repository: https://github.com/lhilbert/SurfacesAndCondensates

This repository contains data recorded on 13 March, 2023

The file size of data were too large, so additional repositories were opened. The complete date need to be also downloaded from these additional repositories:

EXTRA DATA 1/2: 10.5281/zenodo.13788608 

https://doi.org/10.5281/zenodo.13788608

EXTRA DATA 2/2: 10.5281/zenodo.13788711

https://doi.org/10.5281/zenodo.13788711

There is another data set that contains a repeat of the same conditions, recorded on 10 March, 2023
DOI: 10.5281/zenodo.13788484
title: Microscopy image data of a titration series with DNA surface strands and condensate-forming DNA nanomotifs

description: The dataset contains microscopy image data of DNA-nanomotifs (color channel 2) that can form liquid-like condensates, especially in association with target DNA strands that can act as condensation surfaces (color channel 1). The data were recorded on a VisiTech iSIM microscopy with a 40X water immersion objective (Apo LWD 40x WI λS DIC N2, NA 1.15). Images were recorded using dual ORCA-Flash4.0 V3 cameras with simultaneous two-channel acquisition to avoid displacement of objects due to consecutive acquisition of color channels. The file names contain the flow channel number, the presence of condensation surfaces (SX4), and the amount of added nanomotif solution in microliters (NX in µl).

The image files are in the .nd2 Nikon proprietary format, but can be read with the OME bioformats libraries.

Scripts for the analysis of these data are available via a GitHub repository: https://github.com/lhilbert/SurfacesAndCondensates

This repository contains data recorded on 13 March, 2023

The file size of data were too large, so additional repositories were opened. The complete date need to be also downloaded from these additional repositories:

EXTRA DATA 1/2: 10.5281/zenodo.13788608 

https://doi.org/10.5281/zenodo.13788608

EXTRA DATA 2/2: 10.5281/zenodo.13788711

https://doi.org/10.5281/zenodo.13788711

There is another data set that contains a repeat of the same conditions, recorded on 10 March, 2023
DOI: 10.34740/kaggle/dsv/9437767
title: Runescape Grand Exchange Data
DOI: 10.6084/m9.figshare.16649563
title: Network: lter, Domain: bonanza

description: MacroSheds timeseries data, shapefiles, and metadata for domain: bonanza, within network: lter
DOI: 10.6084/m9.figshare.16649563.v2
title: Network: lter, Domain: bonanza

description: MacroSheds timeseries data, shapefiles, and metadata for domain: bonanza, within network: lter
DOI: 10.6084/m9.figshare.16649563.v1
title: Network: lter, Domain: bonanza

description: MacroSheds timeseries data, shapefiles, and metadata for domain: bonanza, within network: lter
DOI: 10.15468/dl.3ykukn
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Spectacled bear database for Peru"
 ]
}

 The dataset includes 973 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023659-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48hega
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.99822 -1.97729,111.78246 -1.97729,111.78246 -0.86409,108.99822 -0.86409,108.99822 -1.97729))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stachyris maculata (Temminck, 1836)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023660-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kengs4
title: Occurrence Download

description: A dataset containing 67503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia",
 "Year 2010-2024"
 ]
}

 The dataset includes 67503 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023658-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13799805
title: pelomedusa_subrufa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.13799806
title: pelomedusa_subrufa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10782891
title: Duke Lung Nodule Dataset 2024

description: Background: Lung cancer risk classification is an increasingly important area of research as low-dose thoracic CT screening programs have become standard of care for patients at high risk for lung cancer. There is limited availability of large, annotated public databases for the training and testing of algorithms for lung nodule classification.

Methods: Screening chest CT scans done between January 1, 2015 and June 30, 2021 at Duke University Health System were considered for this study. Efficient nodule annotation was performed semi-automatically by using a publicly available deep learning nodule detection algorithm trained on the LUNA16 dataset to identify initial candidates, which were then accepted based on nodule location in the radiology text report or manually annotated by a medical student and a fellowship-trained cardiothoracic radiologist.

Results: The dataset contains 1613 CT volumes with 2487 annotated nodules. Radiologist spot-checking confirmed the semi-automated annotation had an accuracy rate of >90%.

Conclusions: The Duke Lung Nodule Dataset is the first large dataset for CT screening for lung cancer reflecting the use of current CT technology. This represents a useful resource of lung cancer risk classification research, and the efficient annotation methods described for its creation may be used to generate similar databases for research in the future.
DOI: 10.15468/dl.pbzbtk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.10463 -2.44390,112.27535 -2.44390,112.27535 -0.37653,107.10463 -0.37653,107.10463 -2.44390))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stachyris nigricollis (Temminck, 1836)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023664-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsybs3
title: Occurrence Download

description: A dataset containing 4751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.70222 37.93115,-122.47719 37.39102,-121.87755 36.92888,-121.95394 36.43892,-121.34734 35.68197,-120.66744 35.11009,-120.52619 34.47186,-119.723 34.40219,-119.23054 34.13206,-118.53595 34.01751,-118.42176 33.71403,-118.21714 33.74726,-117.60554 33.34005,-117.16867 32.66621,-117.04704 32.355,-114.47832 32.75895,-114.37322 34.45748,-114.77526 36.07861,-120.03736 39.04229,-122.70222 37.93115))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Latrodectus geometricus C.L.Koch, 1841"
 ]
}

 The dataset includes 4751 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023663-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2qv5r
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USGS Alaska Science Center Polar Bear Maternal Dens"
 ]
}

 The dataset includes 530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023665-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29ezb7
title: Occurrence Download

description: A dataset containing 19992 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Michigan Museum of Paleontology - Invertebrates"
 ]
}

 The dataset includes 19992 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023666-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uaf4qj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than -161.192",
 "DecimalLongitude is less than -153.946",
 "DecimalLatitude is greater than 18.268",
 "DecimalLatitude is less than 22.692",
 "Country is Réunion"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023667-240906103802322/datasets/export for details.
DOI: 10.15468/dl.4ynhh3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than -161.192",
 "DecimalLongitude is less than -153.946",
 "DecimalLatitude is greater than 18.268",
 "DecimalLatitude is less than 22.692",
 "Country is Réunion"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023668-240906103802322/datasets/export for details.
DOI: 10.15468/dl.54w7aq
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USGS Alaska Science Center Polar Bear Maternal Dens"
 ]
}

 The dataset includes 530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023669-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxvjg7
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.91811 15.47889,-85.10807 15.47889,-85.10807 22.74965,-91.91811 22.74965,-91.91811 15.47889))",
 "TaxonKey is Epinephelus striatus (Bloch, 1792)"
 ]
}

 The dataset includes 183 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023673-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.