cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24114861.v3
title: Northwest division monthly precipitation 2021-2022

description: Northwest division monthly precipitation 2021-2022
DOI: 10.5281/zenodo.8254468
title: ELITE emissivity: global sea 0.1° CMG daily BBE (1980-2022)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global sea BBE product at 0.1° spatial resolution and daily (at 13:00 UTC) temporal resolution. It is provided on a climate modeling grid (CMG) and ranges from 1981 to 2022 (continuously updated). This dataset was generated from the MERRA2 reanalysis wind speed data using the look-up-table method developed by Cheng et al. (2017). <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 1980-2022 Spatial Resolution: 0.1° Temporal Resolution: daily Data Format: HDF Scale: 0.0001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Cheng, X., Liang, S., Niclòs, R., Nie, A., & Liu, Q. (2017). A Lookup Table-Based Method for Estimating Sea Surface Hemispherical Broadband Emissivity Values (8–13.5 μm). <em>Remote Sensing, 9</em>, 245 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8254467
title: ELITE emissivity: global sea 0.1° CMG daily BBE (1980-2022)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global sea BBE product at 0.1° spatial resolution and daily (at 13:00 UTC) temporal resolution. It is provided on a climate modeling grid (CMG) and ranges from 1981 to 2022 (continuously updated). This dataset was generated from the MERRA2 reanalysis wind speed data using the look-up-table method developed by Cheng et al. (2017). <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 1980-2022 Spatial Resolution: 0.1° Temporal Resolution: daily Data Format: HDF Scale: 0.0001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Cheng, X., Liang, S., Niclòs, R., Nie, A., & Liu, Q. (2017). A Lookup Table-Based Method for Estimating Sea Surface Hemispherical Broadband Emissivity Values (8–13.5 μm). <em>Remote Sensing, 9</em>, 245 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8331713
title: Streamflow seasonality in a snow-dwindling world

description: The Excel file contains streamflow data from 3029 snow-affected, unimpaired catchments, as used in the paper "Streamflow seasonality in a snow-dwindling world".
DOI: 10.5281/zenodo.8331712
title: Streamflow seasonality in a snow-dwindling world

description: The Excel file contains streamflow data from 3029 snow-affected, unimpaired catchments, as used in the paper "Streamflow seasonality in a snow-dwindling world".
DOI: 10.34740/kaggle/dsv/6443838
title: Our World in Data - COVID-19
DOI: 10.5281/zenodo.8331716
title: Supplementary Table S7

description: Supplementary Table S7
DOI: 10.5281/zenodo.8331715
title: Supplementary Table S7

description: Supplementary Table S7
DOI: 10.5281/zenodo.8331586
title: WRF 6-km simulation of western US 1981-2010 daily hydrometeorological dataset - part 1

description: This repo includes the raw input data and scripts (of plots in the main text) for the following manuscript: Chen et al., Antecedent Hydrometeorological Conditions of Wildfire Occurrence in the Western U.S. in a Changing Climate Details and companion scripts will be uploaded after the manuscript is accepted.
DOI: 10.5285/c0f9eff8-0efa-1044-e053-6c86abc0ce9f
title: Lena river delta and near shore CTD short time logs under ice using a HYDROLAB HL7 multiparameter probe, spring 2019.

description: The aim of the CACOON project is to quantify the effect of changing freshwater export and terrestrial permafrost thaw on the type and fate of river-borne organic matter delivered to Arctic coastal waters, and resultant changes on ecosystem functioning in the coastal Arctic Ocean (https://www.changing-arctic-ocean.ac.uk/project/cacoon/). CTD measurements were collected under ice in the Lena river delta and near shore area during a spring campaign 2019. CTD measurements were collected using a HYDROLAB HL7 multiparameter probe with a Hydrolab Surveyor HL Handheld unit. The following parameters were collected: specific conductivity, turbidity, barometric pressure, dissolved oxygen, depth, water temperature, salinity and chlorophyll-a. This dataset is part of a publication by: Fuchs et al., 2021; High-resolution bathymetry models for the Kolyma and Lena delta near-shore regions, ESSD. Additional information and project overview is published: CACOON Ice spring campaign, Reports on Polar and Marine Research, 749, 2021. Two additional datasets belonging to the same project are available: 1. CTD data from the Lena Delta region in combination with two bathymetrical maps for the Lena near-shore and Kolyma Gulf are available on the PANGAEA Data Publisher (www.pangaea.de).; 2. CTD cast data from the Lower Kolyma at the BODC entitled: Kolyma river and near shore CTD measurements throughout the open water season using a HYDROLAB HL7 multiparameter probe, summer 2019 (doi:10.5285/c10a2798-40cc-7648-e053-6c86abc07c3c).
DOI: 10.5285/c10a2798-40cc-7648-e053-6c86abc07c3c
title: Kolyma river and near shore CTD measurements throughout the open water season using a HYDROLAB HL7 multiparameter probe, summer 2019.

description: The aim of the CACOON project is to quantify the effect of changing freshwater export and terrestrial permafrost thaw on the type and fate of river-borne organic matter delivered to Arctic coastal waters, and resultant changes on ecosystem functioning in the coastal Arctic Ocean (https://www.changing-arctic-ocean.ac.uk/project/cacoon/). To capture the spatial and temporal variability, CTD data were collected in the lower Kolyma river in 2019 during the open water season between June 7th and September 2nd using small motorboats. CTD measurements were collected using a HYDROLAB HL7 multiparameter probe with a Hydrolab Surveyor HL Handheld unit. The following parameters were collected: specific conductivity, turbidity, barometric pressure, dissolved oxygen, depth, water temperature, salinity and chlorophyll-a. Additional information regarding the multiparameter probe, see manufacturer homepage (https://www.ott.com/products/water-quality-2/hydrolab-hl7-multiparameter-sonde-2338/). This dataset is part of a publication by: Fuchs et al., 2021; High-resolution bathymetry models for the Kolyma and Lena delta near-shore regions, ESSD. Additional information and project overview is published: CACOON Ice spring campaign, Reports on Polar and Marine Research, 749, 2021. Two additional datasets belonging to the same project are available: 1. CTD data from the Lena Delta region in combination with two bathymetrical maps for the Lena near-shore and Kolyma Gulf are available on the PANGAEA Data Publisher (www.pangaea.de). 2. CTD cast data from the Lena Delta at the BODC entitled: Lena river delta and near shore CTD short time logs under ice using a HYDROLAB HL7 multiparameter probe, spring 2019 (doi:10.5285/c0f9eff8-0efa-1044-e053-6c86abc0ce9f).
DOI: 10.6084/m9.figshare.22178099.v1
title: Supplementary Files for Kawato et al. (2023) "Evolutionary genomics of white spot syndrome virus"

description: <b>Online_Resource_1_MAGs.zip</b>: Draft metagenome-assembled genomes (MAGs) of WSSV identified from publicly available high-throughput sequencing datasets. Available in FASTA (.fa) and DDBJ (.ddbj) formats.<b>Online_Resource_2_whole_genome_alignments.zip</b>:clean.full.aln: FASTA-format multiple sequence alignment of 61 WSSV genomesclean2.full.aln: FASTA-format multiple sequence alignment of 48 WSSV genomesclean3.full.aln: FASTA-format multiple sequence alignment of 40 WSSV genomesclean.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean.full.alnclean2.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean2.full.alnclean3.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean3.full.aln<b>Online_Resource_3_</b><b>BEAST_trees.zip</b>: BEAST2 XML files (.xml) and Nexus-format phylogenetic trees (.nex) for Bayesian divergence time esimation assuming different population dynamics (coalescent constant, coalescent exponential, and coalscent Bayesian skyline) and substitution models (HKY and GTR)<b>Online_Resource_4_</b><b>subgenomic_alignments.zip: </b>subegenomic alignments used in the recombination analyses.<b>Online_Resource_5_genomic_deletions.zip: </b>multiple sequence alignments of genomic deletions.
DOI: 10.6084/m9.figshare.22178099.v2
title: Supplementary Files for Kawato et al. (2023) "Evolutionary genomics of white spot syndrome virus"

description: <b>Online_Resource_1_MAGs.zip</b>: Draft metagenome-assembled genomes (MAGs) of WSSV identified from publicly available high-throughput sequencing datasets. Available in FASTA (.fa) and DDBJ (.ddbj) formats.<b>Online_Resource_2_whole_genome_alignments.zip</b>:clean.full.aln: FASTA-format multiple sequence alignment of 61 WSSV genomesclean2.full.aln: FASTA-format multiple sequence alignment of 48 WSSV genomesclean3.full.aln: FASTA-format multiple sequence alignment of 40 WSSV genomesclean.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean.full.alnclean2.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean2.full.alnclean3.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean3.full.aln<b>Online_Resource_3_</b><b>BEAST_trees.zip</b>: BEAST2 XML files (.xml) and Nexus-format phylogenetic trees (.nex) for Bayesian divergence time esimation assuming different population dynamics (coalescent constant, coalescent exponential, and coalscent Bayesian skyline) and substitution models (HKY and GTR)<b>Online_Resource_4_</b><b>subgenomic_alignments.zip: </b>subegenomic alignments used in the recombination analyses.<b>Online_Resource_5_genomic_deletions.zip: </b>multiple sequence alignments of genomic deletions.
DOI: 10.6084/m9.figshare.22178099
title: Supplementary Files for Kawato et al. (2023) "Evolutionary genomics of white spot syndrome virus"

description: <b>Online_Resource_1_MAGs.zip</b>: Draft metagenome-assembled genomes (MAGs) of WSSV identified from publicly available high-throughput sequencing datasets. Available in FASTA (.fa) and DDBJ (.ddbj) formats.<b>Online_Resource_2_whole_genome_alignments.zip</b>:clean.full.aln: FASTA-format multiple sequence alignment of 61 WSSV genomesclean2.full.aln: FASTA-format multiple sequence alignment of 48 WSSV genomesclean3.full.aln: FASTA-format multiple sequence alignment of 40 WSSV genomesclean.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean.full.alnclean2.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean2.full.alnclean3.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean3.full.aln<b>Online_Resource_3_</b><b>BEAST_trees.zip</b>: BEAST2 XML files (.xml) and Nexus-format phylogenetic trees (.nex) for Bayesian divergence time esimation assuming different population dynamics (coalescent constant, coalescent exponential, and coalscent Bayesian skyline) and substitution models (HKY and GTR)<b>Online_Resource_4_</b><b>subgenomic_alignments.zip: </b>subegenomic alignments used in the recombination analyses.<b>Online_Resource_5_genomic_deletions.zip: </b>multiple sequence alignments of genomic deletions.2023-09-10: Missing file (ORF14-15.fa) in Online_Resource_5_genomic_deletions.zip has been added.
DOI: 10.6084/m9.figshare.22178099.v3
title: Supplementary Files for Kawato et al. (2023) "Evolutionary genomics of white spot syndrome virus"2023-09-10: Missing file (ORF14-15.fa) in Online_Resource_5_genomic_deletions.zip has been added.

description: <b>Online_Resource_1_MAGs.zip</b>: Draft metagenome-assembled genomes (MAGs) of WSSV identified from publicly available high-throughput sequencing datasets. Available in FASTA (.fa) and DDBJ (.ddbj) formats.<b>Online_Resource_2_whole_genome_alignments.zip</b>:clean.full.aln: FASTA-format multiple sequence alignment of 61 WSSV genomesclean2.full.aln: FASTA-format multiple sequence alignment of 48 WSSV genomesclean3.full.aln: FASTA-format multiple sequence alignment of 40 WSSV genomesclean.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean.full.alnclean2.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean2.full.alnclean3.full.aln.treefile: Newick-format maximium-likelihood phylogenetic tree generated from clean3.full.aln<b>Online_Resource_3_</b><b>BEAST_trees.zip</b>: BEAST2 XML files (.xml) and Nexus-format phylogenetic trees (.nex) for Bayesian divergence time esimation assuming different population dynamics (coalescent constant, coalescent exponential, and coalscent Bayesian skyline) and substitution models (HKY and GTR)<b>Online_Resource_4_</b><b>subgenomic_alignments.zip: </b>subegenomic alignments used in the recombination analyses.<b>Online_Resource_5_genomic_deletions.zip: </b>multiple sequence alignments of genomic deletions.
DOI: 10.25919/ddr1-5790
title: Parkes observations for project P1162 semester 2023APRS_11

description: Pulsar timing is a powerful tool in studying pulsar physics. Discovering more exotic pulsar systems or timing pulsars with higher precision is an essential part of pulsar astronomy. As a recently discovered millisecond pulsar, PSR J1402+13 is an interesting source for follow-up timing observations. First, its apparent spin-down rate is the highest among known millisecond pulsars. This spin-down rate, if confirmed, will place stringent constraints on the spin-up process predicted by pulsar recycling theories. Second, and more importantly, preliminary analysis shows that J1402+13 is a very promising candidate for pulsar timing arrays, with an achievable precision at the level of 6 nanoseconds for 60 minutes observation with Parkes. We have observed J1402+13 for 8 times in the past two months and propose to continue the observations in the coming semester. We apply for another 14 hours to observe the pulsar to extend the timing baseline to one year. This project will derive an ephemeris of the system, which is valuable to understand its formation and evolution history. Furthermore, the observations will allow us to evaluate the timing performance of J1402+13 and its suitability to be included in pulsar timing arrays.
DOI: 10.5281/zenodo.8295789
title: Neutronic Analysis of the BYU MSMR - Data

description: Supporting data for the Neutronic Analysis of the BYU MSMR. Within these data files, the reactor geometries, materials, settings, and tallies can be found. The scripts and data used to generate graphs for feedbacks, power profile, and flux profile are also included.
DOI: 10.5281/zenodo.8312397
title: The dataset of Helmet Detection

description: The Helmet Detection dataset. A link to the original dataset: <em>https://www.kaggle.com/datasets/andrewmvd/helmet-detection</em> We randomly divided it into new training set, Validation set and test set in a ratio close to 7:2:1.
DOI: 10.5281/zenodo.8312396
title: The dataset of Helmet Detection

description: The Helmet Detection dataset. A link to the original dataset: <em>https://www.kaggle.com/datasets/andrewmvd/helmet-detection</em> We randomly divided it into new training set, Validation set and test set in a ratio close to 7:2:1.
DOI: 10.5519/qd.p6bu7d6r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2595 records)
DOI: 10.5066/p9961iks
title: Winter herbaceous utilization by elk and bison in the Great Sand Dunes National Park ecosystem of the San Luis Valley, Colorado, 2006 to 2008

description: These data represent 2 years of plant clipping data in areas with elk plus bison and areas of elk only in the San Luis Valley of Colorado, USA from 2006-2008. Clipping plots were measured (clipped) in meadow sites, herbaceous riparian sites, and willow communities. We clipped 1/4 m2 (meter-squared) rings inside and outside of 1-m2 grazing cages, as well as within large ungulate exclosures that were 0.04 ha (hectares) in size.
DOI: 10.5066/p9km7hjt
title: 2021 USGS Phragmites australis Greenhouse Submergence Experiment Data conducted in Ann Arbor, MI

description: To determine the potential for controlling non-native Phragmites australis through use of a cut-to-drown management strategy we performed a controlled greenhouse mesocosm experiment in Ann Arbor, MI during summer 2021. Field collected Phragmites rhizomes from one site within Michigan were propagated, cuttings taken of individual stems and potted in nursery pots. Established plants were then subjected to a complete factorial combination of three submergence treatments (no submergence, partial submergence of aboveground tissues, and compete submergence of aboveground tissues) and 3 cutting treatments (no cutting, spring cutting of above ground tissues, and summer cutting of aboveground tissues). By performing weekly monitoring of plant growth, harvesting of a subset of plant tissues and overwintering of the remaining plants, we were able to examine difference in biomass production, non-structural carbohydrate content and future viability of Phragmites plants receiving different cut-to-drown treatments.
DOI: 10.6084/m9.figshare.23582403
title: NeuroGen Dataset

description: NeuroGen dataset contains two sessions, six subjects.In session 1, each subject viewed the same set of 480 images. Some subjects didn't complete the full scan.In session 2, each subject viewed different set of 336 images. Some subjects didn't complete the full scan.Please see details of how the data are structured in the README.md file.
DOI: 10.6084/m9.figshare.23582403.v1
title: NeuroGen Dataset

description: NeuroGen dataset contains two sessions, six subjects. In session 1, each subject viewed the same set of 480 images. Some subjects didn't complete the full scan. In session 2, each subject viewed different set of 336 images. Some subjects didn't complete the full scan.
DOI: 10.5066/p90nhxzl
title: GPS locations of feral horses in Utah, USA, from 2016-2020

description: Data represent locations of mares and stallions in Utah. Data were collected using GPS radio collars on mares or tail transmitters braided into the tails of stallions, at a 2-hour fix rate for a period spanning 2016 to 2020. Horses were located at Conger Herd Management Area (HMA) or Frisco HMA in the Great Basin ecosystem of Utah, USA.
DOI: 10.5066/p9xeof04
title: Mercury Stable Isotope Assessment of Global Food Webs

description: This dataset describes mercury (Hg) stable isotope values in fish dorsal muscle from different freshwater environments across the globe. Fish were collected at numerous field sites in North America, South and Central America, Africa, and Asia from 2006-2020. Sub-samples were provided by cooperators to the U.S. Geological Survey Mercury Research Laboratory and the University of Wisconsin for mercury stable isotope analysis. Samples were analyzed for mercury stable isotopes from 2017-2021. These specimens represent multiple trophic levels and body sizes from different food webs and when adequate mass was available, multiple species from the same food web were examined. Cooperators include, but are not limited to: Anton de Kom University of Suriname, Kenya Marine and Fisheries Research Institute, Tanzania Fisheries Research Institute, University of Dar es Salaam, Centre National de la Recherche Scientifique et Technologique of Gabon, Direction de la Faune et des Aires Protegees and la Delegation a la Recherche Scientifique et Technologique of Republic of Congo, Central African Forest Ecosystems Programme (now NaturAfrica) -Congo, Kingdom of Thailand’s Department of Fisheries, ASMA Guatemala, Southern African Scientific Service Centre for Climate Change and Adaptive Land Management, Hawaii Division of Aquatic Resources.
DOI: 10.5066/p9azl1mn
title: Data showing similar movement ecology between mallards infected and not infected with highly pathogenic avian influenza H5N1

description: These data, which support a paired USGS publication, document the movement and infection status of mallards captured, marked, and tested at a wintering site in Tennessee. Data document differences in movement ecology between mallards infected and not infected with HPAI H5N1.
DOI: 10.15468/dl.zq23gs
title: Occurrence Download

description: A dataset containing 20893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dasycladales"
 ]
}

 The dataset includes 20893 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021370-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5usa8z
title: Occurrence Download

description: A dataset containing 565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Desmodus rotundus (E.Geoffroy, 1810)",
 "Year 1980-2025"
 ]
}

 The dataset includes 565 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021372-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nqwwc
title: Occurrence Download

description: A dataset containing 2049114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is China",
 "Geometry POLYGON((36.79609 8.12994,171.20391 8.12994,171.20391 61.87006,36.79609 61.87006,36.79609 8.12994))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 2049114 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021362-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-07.2854951/2435160
title: Data for EMSL Project 51375 from July 2023