cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gqx9wq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polymorphus phippsi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004570-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd2end
title: Occurrence Download

description: A dataset containing 968 records in GBIF matching the query:
SELECT
 '524' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 51.21395264452012
 AND decimalLatitude &lt;= 56.135291543055025
 AND decimalLongitude &gt;= 113.58444627864597
 AND decimalLongitude &lt;= 129.519183390344
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 968 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004548-260126135527185/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.30971461.v1
title: <b>A closed-loop diagnostic framework for quantifying dynamic shifts in forest carbon sink mechanisms under climate change</b>

description: This data was applied to a closed-loop diagnostic framework for quantifying dynamic shifts in forest carbon sink mechanisms under climate change.
DOI: 10.5281/zenodo.17663187
title: Factors Influencing Decision Time to Surgery in Pelvic Organ Prolapse and Stress Urinary Incontinence

description: Verified version for publication
DOI: 10.5281/zenodo.18408442
title: Factors Influencing Decision Time to Surgery in Pelvic Organ Prolapse and Stress Urinary Incontinence

description: Verified version for publication
DOI: 10.15468/dl.pxfzzr
title: Occurrence Download

description: A dataset listing the 4826 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset's 4826 records were derived from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004545-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.xsj3tx9vd
title: Investigation of bottlenose dolphin, <em>Tursiops truncatus</em>, population structure

description: This dataset supports a study investigating populations of the common
 bottlenose dolphin (Tursiops truncatus) across the Mediterranean Sea and
 adjacent North Atlantic using high resolution genomic markers (RADseq) and
 stable isotope analyses t. Samples included archived DNA that had been
 used in previous studies, as well as newly collected samples. Genomic
 libraries for double-digest restriction associated DNA were constructed,
 sequenced on three lanes of an Illumina HiSeq 2500 sequencer. High
 resolution genomic data and broad geographic sampling revealed patterns of
 structure not previously identified, and integration with stable isotope
 data suggests that prey choice varies across this region. The regional
 habitat within and beyond the Mediterranean Sea is structured with ocean
 frontal systems including thermal and halocline transitions, several of
 which show alignment with genetic transitions within our data. Our data
 help to distinguish among possible drivers of population differentiation
 for a marine predator that has the potential for long-distance dispersion.
description: # Investigation of bottlenose dolphin, *Tursiops truncatus*, population
 structure Dataset DOI:
 [10.5061/dryad.xsj3tx9vd](https://doi.org/10.5061/dryad.xsj3tx9vd) ##
 Description of the data and file structure Genotyping of genetic variation
 in multiple samples of bottlenose dolphin from the North Atlantic and
 Mediterranean using ddRAD sequencing ### Files and variables #### File:
 GenDataV5.vcf **Description:** Genotyping of genetic variation in multiple
 samples of bottlenose dolphin from North Atlantic and Mediterranean using
 ddRAD sequencing ## Code/software File can be viewed and manipulated using
 standard tools to process vcf files. The file was produced using the
 Software Stacks, as described in the file heading.
DOI: 10.5281/zenodo.18408227
title: Numerical simulation data for Measuring gravitational lensing time delays with quantum information processing

description: This dataset is from the numerical simulations of the flare-combination algorithm proposed in Section VII.B of “Measuring gravitational lensing time delays with quantum information processing” (https://arxiv.org/abs/2510.07898). It contains all raw simulation data used to produce Table II and Figure 5 in the paper.

The tar.gz package is organized as follows:





data_summary.xlsx: a summary spreadsheet containing all simulation results supporting Table II and Figure 5.




codes/: a directory containing the Python scripts used to generate the simulation data.




Figure_5/: a directory containing all raw data files associated with Figure 5.




Table_II/: a directory containing all raw data files associated with Table II.



All simulations were executed on the Zaratan High-Performance Computing cluster at the University of Maryland, College Park. All raw data files are plain text.
DOI: 10.5281/zenodo.18408228
title: Numerical simulation data for Measuring gravitational lensing time delays with quantum information processing

description: This dataset is from the numerical simulations of the flare-combination algorithm proposed in Section VII.B of “Measuring gravitational lensing time delays with quantum information processing” (https://arxiv.org/abs/2510.07898). It contains all raw simulation data used to produce Table II and Figure 5 in the paper.

The tar.gz package is organized as follows:





data_summary.xlsx: a summary spreadsheet containing all simulation results supporting Table II and Figure 5.




codes/: a directory containing the Python scripts used to generate the simulation data.




Figure_5/: a directory containing all raw data files associated with Figure 5.




Table_II/: a directory containing all raw data files associated with Table II.



All simulations were executed on the Zaratan High-Performance Computing cluster at the University of Maryland, College Park. All raw data files are plain text.
DOI: 10.5281/zenodo.18405775
title: In situ marine plankton holographic image dataset - Baltic Sea 2024

description: These datasets contain cropped images of plankton extracted from processed holograms. Raw images were recorded in April 2024 in the Baltic Sea using the AUTOHOLO, a submersible digital holographic imaging system.The image resolution is 2.14 microns per pixel, and data were recorded at approximately 0.7-1 Hz.

The datasets are unlabeled and were collected from different stations, where the instrument was vertically profiled through the water column.

Each folder includes a .csv file with metadata, containing date, start time (local), location (coordinates), and depth. All listed times are local, i.e., Eastern European Standard Time (EEST, 24-hour clock).Additional details of the imaging instrument (AUTOHOLO) and the holographic methodology can be found here: https://doi.org/10.1016/j.hal.2023.102401
DOI: 10.5281/zenodo.18405776
title: In situ marine plankton holographic image dataset - Baltic Sea 2024

description: These datasets contain cropped images of plankton extracted from processed holograms. Raw images were recorded in April 2024 in the Baltic Sea using the AUTOHOLO, a submersible digital holographic imaging system.The image resolution is 2.14 microns per pixel, and data were recorded at approximately 0.7-1 Hz.

The datasets are unlabeled and were collected from different stations, where the instrument was vertically profiled through the water column.

Each folder includes a .csv file with metadata, containing date, start time (local), location (coordinates), and depth. All listed times are local, i.e., Eastern European Standard Time (EEST, 24-hour clock).Additional details of the imaging instrument (AUTOHOLO) and the holographic methodology can be found here: https://doi.org/10.1016/j.hal.2023.102401
DOI: 10.15468/dl.ywypnk
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1905",
 "Year is less than or equal to 1909"
 ]
}

 The dataset includes 100 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004572-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfvmm2
title: Occurrence Download

description: A dataset containing 22501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset includes 22501 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004571-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nzcfbu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quasitetrastemma bicolor",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004573-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17431864
title: GED-DMpred: Prediction of Pathogenic Missense Mutations in Genetic Eye Diseases Using a Two-Step Strategy

description: The in-house dataset (missense mutations, hg38 version) is a file used in the research. It was created based on the ClinVar and prior knowledge from ACMG-AMP. 

The GED-DMpred_score.gz (hg38 version)  file includes the pre-computed scores from GED-DMpred (trained using a two-step strategy) and  GED-DMpred_oneL (trained using a two-step strategy).
DOI: 10.5281/zenodo.18408259
title: GED-DMpred: Prediction of Pathogenic Missense Mutations in Genetic Eye Diseases Using a Two-Step Strategy

description: The in-house dataset (missense mutations, hg38 version) is a file used in the research. It was created based on the ClinVar and prior knowledge from ACMG-AMP. 

The GED-DMpred_score.gz (hg38 version)  file includes the pre-computed scores from GED-DMpred (trained using a two-step strategy) and  GED-DMpred_oneL (trained using a two-step strategy).
DOI: 10.15468/dl.452p2f
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago truncatula",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2086 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004574-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.pg4f4qs3t
title: Data from: An unusually deep corallimorph barren on a remote coral reef in the south-central Red Sea

description: Corallimorphs are opportunistic cnidarians that can compete with
 reef-building corals for substrate and thrive in disturbed conditions. We
 describe a corallimorph barren on a remote coral reef in the southern Red
 Sea across four depths. The data included here are annotations from
 phototransects  at 5, 15, 20, and 30 depths. For each depth, 31
 photos were taken of the substrate. Using CoralNet, 50 random stratified
 points were generated for each image. Benthic categories were assigned by
 manually annotating each point. This dataset includes the annotation data
 for each of the 50 points for all images.
description: # Data from: An unusually deep corallimorph barren on a remote coral reef
 in the south-central Red Sea Dataset DOI:
 [10.5061/dryad.pg4f4qs3t](https://doi.org/10.5061/dryad.pg4f4qs3t) ##
 Description of the data and file structure Phototransects were conducted
 on a remote coral reef in the southern Red Sea (Mubarak Reef). At four
 depths (5, 15, 20, and 30m), a transect line was laid out to a distance of
 30 m. A photo of the substrate was taken every meter, starting at 0 m and
 ending at the 30 m mark (31 photos per transect). Using the software
 CoralNet, 50 random stratified points were generated for each image, and
 the points were manually annotated to assign a benthic category.  ###
 Files and variables #### File: benthic_data.csv **Description:**  #####
 Variables * Name: The photo ID for each individual photo. Prior to
 analysis, a prefix was added to denote which depths the photos were taken.
 * Row: The pixel row where each particular point was generated (the
 "x" coordinate for each point on each image) * Column: The pixel
 column where each particular point was generated (the "y"
 coordinate for each point on each image) * Label: The manually-assigned
 benthic category for whatever fell underneath the point generated by
 CoralNet. * depth: The transect depth (m) for each photo.
DOI: 10.5281/zenodo.18408296
title: SuperDARN data in netCDF format (2007-Mar)

description: 2007-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592055
title: SuperDARN data in netCDF format (2007-Mar)

description: 2007-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.k67ama
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1910",
 "Year is less than or equal to 1914"
 ]
}

 The dataset includes 95 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004577-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23x67k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Intoshia metchnikovi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004578-260126135527185/datasets/export for details.
DOI: 10.5281/zenodo.18408265
title: Quarterly Census of Employment and Wages (QCEW) 2024: 409 BEA sectors, all U.S. counties

description: County-level QCEW data for 2024, aggregated to 409 BEA sectors. Derived from Tapestry (University of Idaho) and redistributed under CC BY-SA 4.0.
DOI: 10.5061/dryad.4b8gthtsx
title: Synthesis and spectral properties for 3, 7-dithiatricyclo[6.4.0.0²˒¹⁰.0 ⁹˒¹¹]dodecane (norDTCO) and 3-λ⁴, 7-dithiatricyclo[6.4.0.0²˒¹⁰.0 ⁹˒¹¹]dodecan-3-one (norDTCO sulfoxide)

description: The synthesis, tabulated infrared and 1H NMR spectra of the title
 compounds: 3, 7-dithiatricyclo[6.4.0.02,10.09,11]dodecane
 (norDTCO) and 3λ4,
 7-dithiatricyclo[6.4.0.02,10.09,11]dodecan-3-one (norDTCO sulfoxide) are
 presented. The compound norDTCO is a substituted 1,5-dithiocane which can
 oxidize chemically or electrochemically by two-electrons to a dication
 with a transannular S-S sigma-bond. Its derivative, norDTCO sulfoxide, is
 the ultimate product after a two-electron oxidation and the addition of
 water.
description: Synthesis and spectral properties for 3,
 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecane (norDTCO) and 3λ⁴,
 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecan-3-one (norDTCO sulfoxide)
 Dataset DOI:
 [10.5061/dryad.4b8gthtsx](https://doi.org/10.5061/dryad.4b8gthtsx) ##
 Description of the data and file structure Synthesis and spectral
 properties for 3, 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecane
 (norDTCO) and 3-λ^4^,
 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecan-3-one (norDTCO sulfoxide)
 ### Files and variables #### File:
 Spectral_properties_of_norDTCO_and_norDTCO_sulfoxide.pdf **Description:**
 This file contains the physical and spectral properties of 3,
 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecane (norDTCO) and 3-λ^4^,
 7-dithiatricyclo\[6.4.0.0^2,10^.0^9,11^\]dodecan-3-one (norDTCO
 sulfoxide). The first part includes the boiling and melting points of
 norDTCO and its elemental analysis. The second part is the important
 infrared bands of norDTCO in a KBr pellet. The third part is the ^1^H NMR
 resonances at 500 MHz in chloroform-*d*~1~. Part 5 is the important
 infrared bands of neat norDTCO sulfoxide. Part 6 are the ^1^H NMR
 resonances at 500 MHz in chloroform-*d*~1~. #### File:
 Synthesis_norDTCO_and_norDTCO_sulfoxide.pdf The synthetic procedures for
 norDTCO and norDTCO sulfoxide are described in this file ## Access
 information Data was derived from the following sources: * Laboratory
 notebook
DOI: 10.15468/dl.2gbyu3
title: Occurrence Download

description: A dataset containing 13807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Terrapene triunguis"
 ]
}

 The dataset includes 13807 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004579-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4zncy
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus albus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 215 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004581-260126135527185/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.31175527
title: Gap-free telomere-to-telomere genome assembly of stone flounder (Kareius bicoloratus)

description: In this study, we successfully assembled the first gap-free telomere-to-telomere (T2T) genome of stone flounder combing Illumina short-reads sequencing, PacBio HiFi sequencing, Hi-C sequencing, and ONT ultra-long sequencing. The genome spans 587.80 Mb with a contig N50 of 25.64 Mb. 98.58% of the genome sequences were assembled onto 24 chromosomes without gaps. Telomeres were identified at both ends of 8 chromosomes and at one end of 15 chromosomes. We identified 128.10 Mb repetitive sequences and 22,312 protein-coding genes, among which 98.03% of the coding genes were functionally annotated.
DOI: 10.6084/m9.figshare.31175527.v1
title: Gap-free telomere-to-telomere genome assembly of stone flounder (Kareius bicoloratus)

description: In this study, we successfully assembled the first gap-free telomere-to-telomere (T2T) genome of stone flounder combing Illumina short-reads sequencing, PacBio HiFi sequencing, Hi-C sequencing, and ONT ultra-long sequencing. The genome spans 587.80 Mb with a contig N50 of 25.64 Mb. 98.58% of the genome sequences were assembled onto 24 chromosomes without gaps. Telomeres were identified at both ends of 8 chromosomes and at one end of 15 chromosomes. We identified 128.10 Mb repetitive sequences and 22,312 protein-coding genes, among which 98.03% of the coding genes were functionally annotated.
DOI: 10.15468/dl.8yzfnj
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1915",
 "Year is less than or equal to 1919"
 ]
}

 The dataset includes 194 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004582-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.