cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.negck2
title: Occurrence Download

description: A dataset containing 9982 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 9982 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020487-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.857nef
title: Occurrence Download

description: A dataset containing 90980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Netherlands, Germany, France, Spain, Portugal, Isle of Man, Belgium, Ireland, Italy, Türkiye, Greece, Norway, Sweden, Iceland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset includes 90980 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020479-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxenhb
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Circus hudsonius (Linnaeus, 1766))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 659 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020488-250525065834625/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.29230895
title: NY Offshore Ichthyoplankton Images

description: Images of ichthyoplankton specimens to accompany Hadjiargyrou et al., 2025, a DNA barcoding study of marine fish embryos and larvae collected in NY offshore waters between 2021-2023.Images are grouped and zipped by the 96-well PCR plate on which they were analyzed and the associated BOLD (Barcode of Life Data) specimen IDs. The species ID and associated sampling information can be found at NYOS_Barcoding_CTD_Data and are in the accompanying folder.
DOI: 10.6084/m9.figshare.29230895.v1
title: NY Offshore Ichthyoplankton Images

description: Images of ichthyoplankton specimens to accompany Hadjiargyrou et al., 2025, a DNA barcoding study of marine fish embryos and larvae collected in NY offshore waters between 2021-2023. Each image is grouped and zipped by the PCR plate on which they were processed and the associated BOLD (Barcode of Life Data) specimen IDs. The species ID of the specimens can be found on another figshare titled, NYOS_Barcoding_CTD_Data (https://doi.org/10.6084/m9.figshare.27984443.v2 (2024)).
DOI: 10.6084/m9.figshare.29230895.v2
title: NY Offshore Ichthyoplankton Images

description: Images of ichthyoplankton specimens to accompany Hadjiargyrou et al., 2025, a DNA barcoding study of marine fish embryos and larvae collected in NY offshore waters between 2021-2023.Images are grouped and zipped by the 96-well PCR plate on which they were analyzed and the associated BOLD (Barcode of Life Data) specimen IDs. The species ID and associated sampling information can be found at NYOS_Barcoding_CTD_Data and are in the accompanying folder.
DOI: 10.15468/dl.bezc66
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Ethiopia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis simensis Rüppell, 1840"
 ]
}

 The dataset includes 117 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020489-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14585236
title: Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity

description: Data and codes for "Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity" in review at Global Ecology and Biogeography
DOI: 10.5281/zenodo.14585235
title: Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity

description: Data and codes for "Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity" in review at Global Ecology and Biogeography
DOI: 10.5281/zenodo.15584202
title: Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity

description: Data and codes for "Plant communities in the Americas are highly bee dependent regardless of biome or local bee diversity" in review at Global Ecology and Biogeography
DOI: 10.3886/e231961
title: FET CNY live birth rate

description: Decline in Live Birth Rate from Frozen Embryo Transfer Cycles Conducted During the Chinese New Year Holiday Season: A Single-Center Retrospective Cohort Study
DOI: 10.3886/e231961v1
title: FET CNY live birth rate

description: Decline in Live Birth Rate from Frozen Embryo Transfer Cycles Conducted During the Chinese New Year Holiday Season: A Single-Center Retrospective Cohort Study
DOI: 10.15468/dl.vbkxee
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Tangara velia (Linnaeus, 1758)"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020492-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14829449
title: Phenotypic landscape of an invasive fungal pathogen reveals its unique biology

description: These files can be used to open the C. neoformans deletion library phenotypic map or cofitness matrix in Java TreeView 1.2.0. See Figure 1D, E in Boucher et al (2025) Cell.
DOI: 10.5281/zenodo.14829450
title: Phenotypic landscape of an invasive fungal pathogen reveals its unique biology

description: These files can be used to open the C. neoformans deletion library phenotypic map or cofitness matrix in Java TreeView 1.2.0. See Figure 1D, E in Boucher et al (2025) Cell.
DOI: 10.5281/zenodo.15594344
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15594345
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.wtukjq
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia flavescens (Lindl.) Borchs. & S.Suárez"
 ]
}

 The dataset includes 218 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020490-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buhukp
title: Occurrence Download

description: A dataset containing 1407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coptodon guineensis (Günther, 1862))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1407 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020491-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15594129
title: Unveiling Cell Wall Structure and Echinocandin Response in Candida auris and Candida albicans via Solid-State NMR
DOI: 10.5281/zenodo.15594130
title: Unveiling Cell Wall Structure and Echinocandin Response in Candida auris and Candida albicans via Solid-State NMR
DOI: 10.15468/dl.vtjjrc
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "TaxonKey is Tangara mexicana (Linnaeus, 1766)"
 ]
}

 The dataset includes 51 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020493-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy6nyy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Falco sparverius Linnaeus, 1758)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020495-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kwm3ts
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 "TaxonKey is Phytocoris beameri Stonedahl, 1988"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020498-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvt96f
title: Occurrence Download

description: A dataset containing 1529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elops lacerta Valenciennes, 1847)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1529 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020501-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kdm86
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia gymnocarpa (H.Kenn.) Borchs. & S.Suárez"
 ]
}

 The dataset includes 165 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020499-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncxx2n
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichomycterus sandovali Ardila Rodríguez, 2006"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020502-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx8b4q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Falco sparverius Linnaeus, 1758)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020504-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bu4jb4
title: Occurrence Download

description: A dataset containing 1096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanius iberus (Valenciennes, 1846)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1096 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020503-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15594327
title: Practise Fisher Lab Data
DOI: 10.5281/zenodo.15594328
title: Practise Fisher Lab Data
DOI: 10.15468/dl.89pyr4
title: Occurrence Download

description: A dataset containing 1839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-89.85955 20.75243,-89.39747 20.75243,-89.39747 21.08884,-89.85955 21.08884,-89.85955 20.75243))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanerpes pygmaeus (Ridgway, 1885)",
 "Year 2005-2025"
 ]
}

 The dataset includes 1839 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020505-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5jvzv
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia indecora (Woodson) Borchs. & S.Suárez"
 ]
}

 The dataset includes 139 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020507-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6xpv3
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diplostephium ericoides (Lam.) Cabrera"
 ]
}

 The dataset includes 309 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25387/g3.29226122
title: Supplemental Material for Culotta and Lindsey, 2025

description: Supplemental data for Trichogramma kaykai genome sequencing and assembly. Files include: (A) Table S1. Nanopore sequencing statistics, (B) Table S2. Details on draft assembly curation, (C) Table S3. Comparison of interspersed repeats between <em>Trichogramma kaykai </em>and related species, (D) File S1. <em>Trichogramma kaykai g</em>enome annotations in GFF3 format, and (E) File S2. Analysis notebook with bioinformatics workflows and scripts.
DOI: 10.25387/g3.29226122.v1
title: Supplemental Material for Culotta and Lindsey, 2025

description: Supplemental data for Trichogramma kaykai genome sequencing and assembly. Files include: (A) Table S1. Nanopore sequencing statistics, (B) Table S2. Details on draft assembly curation, (C) Table S3. Comparison of interspersed repeats between <em>Trichogramma kaykai </em>and related species, (D) File S1. <em>Trichogramma kaykai g</em>enome annotations in GFF3 format, and (E) File S2. Analysis notebook with bioinformatics workflows and scripts.
DOI: 10.11582/2016.00003
title: RESECT: a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries

description: Purpose: The advancement of medical image processing techniques, such as image registration, can effectively help improve the accuracy and efficiency of brain tumor surgeries. However, it is often challenging to validate these techniques with real clinical data due to the rarity of such publicly available repositories.
Acquisition and validation methods: Pre-operative magnetic resonance images (MRI), and intra-operative ultrasound (US) scans were acquired from 24 patients with low-grade glioma who underwent surgeries at St. Olavs University Hospital between 2011 and 2016. Each patient was scanned by Gadolinium-enhanced T1w and T2-FLAIR MRI protocols to reveal the anatomy and pathology, and series of B-mode ultrasound images were obtained before, during, and after tumor resection to track the surgical progress and tissue deformation. Retrospectively, corresponding anatomical landmarks were identified across US images of different surgical stages, and between MRI and US, and can be used to validate image registration algorithms. Quality of landmark identification was assessed with intra- and inter-rater variability.
Data format and access: In addition to co-registered MRIs, each series of US scans are provided as a reconstructed 3D volume. All images are accessible in MINC and NIFTI formats, and the anatomical landmarks were annotated in MNI tag files. Both the imaging data and the corresponding landmarks are available online as the RESECT database.
Potential impact: The proposed database provides real high-quality multi-modal clinical data to validate and compare image registration algorithms that can potentially benefit the accuracy and efficiency of brain tumor resection. Furthermore, the database can also be used to test other image processing methods and neuro-navigation software platforms.
description: 309  AppleDouble encoded Macintosh file, totaling ...... 65.84 KB<br>186  ASCII text, totaling ...... 192.66 KB<br>54  data, totaling ...... 332.21 KB<br>230  gzip compressed data, totaling ...... 3.09 GB
DOI: 10.34740/kaggle/dsv/12016638
title: SPiEL - Airborne Ultrasound Dataset
DOI: 10.15468/dl.z6n5m2
title: Occurrence Download

description: A dataset containing 1082 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valencia hispanica (Valenciennes, 1846)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1082 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020510-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10359008
title: R code and supplementary data for : "A framework for mapping conservation agricultural fields using time-series optical and radar imagery"

description: Source code and cover crop maps for the paper "A framework for mapping conservation cropland using optical and radar time series imagery." (Zhou et al., 2025)

https://doi.org/10.1016/j.rse.2025.114858

 

The entire workflow consists of these steps:

1. Obtain satellite data from Google Earth Engine platform. script path: (https://code.earthengine.google.com/?scriptPath=users%2Fyuez9466%2FCApractice%3ANDVI). You need to obtain the NDVI, NBR2, Sentinel-1 Radar dataset and Precipitation data for your research area and seltected time interval. Download .csv data from Google Cloud, then convert the format of the data for following calculations.(see 1_import_transfer_data.R)

2. Obtain the annual crop types in your study area, either through agricultural census data or remote sensing predictions (not mentioned in this paper), calculate organic carbon input based on the crop types. Extracting seasons based on time-series NDVI values using phenofit package. (see 2_NDVI_Smooth_Divide_seasons.R)

3. Calculating the length of the cover crop growing season and periods of bare soil, also get the nessasary covariates for tillage model meanwhile. (see 3_CC_BS_length_add_Tillage.R)

4. Build a tillage model. (see 4_Build_Tillage_model)

Build your own conservation agriculture fields model.
DOI: 10.5281/zenodo.10359009
title: R code and supplementary data for : "A new framework for mapping conservation agricultural fields using time-series optical and radar imagery"
DOI: 10.5281/zenodo.10370700
title: R code and supplementary data for : "A framework for mapping conservation agricultural fields using time-series optical and radar imagery"

description: Source code and cover crop maps for the paper "A framework for mapping conservation cropland using optical and radar time series imagery." (Zhou et al., 2025)

https://doi.org/10.1016/j.rse.2025.114858

 

The entire workflow consists of these steps:

1. Obtain satellite data from Google Earth Engine platform. script path: (https://code.earthengine.google.com/?scriptPath=users%2Fyuez9466%2FCApractice%3ANDVI). You need to obtain the NDVI, NBR2, Sentinel-1 Radar dataset and Precipitation data for your research area and seltected time interval. Download .csv data from Google Cloud, then convert the format of the data for following calculations.(see 1_import_transfer_data.R)

2. Obtain the annual crop types in your study area, either through agricultural census data or remote sensing predictions (not mentioned in this paper), calculate organic carbon input based on the crop types. Extracting seasons based on time-series NDVI values using phenofit package. (see 2_NDVI_Smooth_Divide_seasons.R)

3. Calculating the length of the cover crop growing season and periods of bare soil, also get the nessasary covariates for tillage model meanwhile. (see 3_CC_BS_length_add_Tillage.R)

4. Build a tillage model. (see 4_Build_Tillage_model)

Build your own conservation agriculture fields model.