cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10019860
title: Earthquake Data for the 2023 Mw6.2 Suzu Earthquake in the Northeastern Noto Peninsula, Japan

description: The coseismic slip distribution of the 2023 Suzu Mw6.2 mainshock and relocated small earthquakes are available here.
The ASCII file "hypocenters.out" contains the relocated hypocenters. Columns 1–6 show the occurrence times. $1: year, $2: month, $3: day, $4: hour, $5: minute, and $6: second. Columns 7, 8, and 9 show the longitude, latitude, and depth, respectively. Columns 10 and 11 show the magnitude and ID according to JMA, respectively. 
The ASCII file "slip.out"  contains the slip distribution of the 2023 Mw6.2 mainshock. The first and second lines indicate the center of the model fault and the strike and dip angles, respectively. Subsequent lines show the amount of slip and moment release of subfaults. The first and second columns show the position of the subfaults in the length and width directions, respectively; the third and fourth columns show the moment release (Nm) and slip (m), respectively; and the fifth, sixth, and seventh columns show the corresponding longitudes, latitudes, and depths, respectively.
DOI: 10.5281/zenodo.10019913
title: echites_panduratus_spades_01.fasta.gz

description: echites_panduratus_spades_01.fasta.gz
DOI: 10.5281/zenodo.10019914
title: echites_panduratus_spades_01.fasta.gz

description: echites_panduratus_spades_01.fasta.gz
DOI: 10.5281/zenodo.10019859
title: Earthquake Data for the 2023 Mw6.2 Suzu Earthquake in the Northeastern Noto Peninsula, Japan

description: The coseismic slip distribution of the 2023 Suzu Mw6.2 mainshock and relocated small earthquakes are available here.
The ASCII file "hypocenters.out" contains the relocated hypocenters. Columns 1–6 show the occurrence times. $1: year, $2: month, $3: day, $4: hour, $5: minute, and $6: second. Columns 7, 8, and 9 show the longitude, latitude, and depth, respectively. Columns 10 and 11 show the magnitude and ID according to JMA, respectively. 
The ASCII file "slip.out"  contains the slip distribution of the 2023 Mw6.2 mainshock. The first and second lines indicate the center of the model fault and the strike and dip angles, respectively. Subsequent lines show the amount of slip and moment release of subfaults. The first and second columns show the position of the subfaults in the length and width directions, respectively; the third and fourth columns show the moment release (Nm) and slip (m), respectively; and the fifth, sixth, and seventh columns show the corresponding longitudes, latitudes, and depths, respectively.
DOI: 10.5281/zenodo.10019341
title: Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia: companion dataset

description: This folder includes the intermediate data for the following manuscript:
Ding et al., Impact of Convection-permitting and Model Resolution on the Simulation of Mesoscale Convective System Properties over East Asia
The simulations were done using ICON-NWP (ICON Numerical Weather Prediction) model, version 2.6.1, over Asian monsoon region (62E–150E, 5.5N–54.5N) for 2020 summer. At the moment, we upload the intermediate data for MCS tracking. For more data, please contact the authors.
DOI: 10.5281/zenodo.10019911
title: Data on glandularity and caterpillar feeding assays on Madiinae species

description: This is the dataset used in Pearse et al 2023 American Journal of Botany "The evolution of glandularity as a defense against herbivores in the tarweed clade".  The data were collected as measurements from a common rearing of tarweed (Madiinae) plant species in a greenhouse in Illinois.  Collection details of those species and rearing details are in the manuscript.  Data include information about the growth and phenology of plants, measurements of glandular and simple trichomes, and growth and consumption rates of an herbivore (Heliotis virescens) fed plant buds and in a bioassay.
DOI: 10.5281/zenodo.10019912
title: Data on glandularity and caterpillar feeding assays on Madiinae species

description: This is the dataset used in Pearse et al 2023 American Journal of Botany "The evolution of glandularity as a defense against herbivores in the tarweed clade".  The data were collected as measurements from a common rearing of tarweed (Madiinae) plant species in a greenhouse in Illinois.  Collection details of those species and rearing details are in the manuscript.  Data include information about the growth and phenology of plants, measurements of glandular and simple trichomes, and growth and consumption rates of an herbivore (Heliotis virescens) fed plant buds and in a bioassay.
DOI: 10.5281/zenodo.10019903
title: Bermuda Atlantic Time-Series Study (BATS) Bottle

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS Bottle dataset is a collection of discrete bottle samples from 1988-2022, including in-situ measurements of CO2, nutrients, carbon, oxygen, temperature, and Prochlorococcus and Synechococcus abundance. Note all bottle fires are included that do not have any BATS core parameters so as to be of use for other ancillary measurements.
This description has been reproduced using https://www.dropbox.com/s/4sdk2tewx46cla8/bats_bottle.txt?dl=0
DOI: 10.5281/zenodo.10019902
title: Bermuda Atlantic Time-Series Study (BATS) Bottle

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS Bottle dataset is a collection of discrete bottle samples from 1988-2022, including in-situ measurements of CO2, nutrients, carbon, oxygen, temperature, and Prochlorococcus and Synechococcus abundance. Note all bottle fires are included that do not have any BATS core parameters so as to be of use for other ancillary measurements.
This description has been reproduced using https://www.dropbox.com/s/4sdk2tewx46cla8/bats_bottle.txt?dl=0
DOI: 10.5281/zenodo.10019690
title: RM high z
DOI: 10.5281/zenodo.10019689
title: RM high z
DOI: 10.5281/zenodo.10019715
title: RM low z
DOI: 10.5281/zenodo.10019714
title: RM low z
DOI: 10.17608/k6.auckland.21397377.v5
title: A Collection of Brain Network Datasets

description: This paper presents a comprehensive and quality collection of functional human brain network data for potential research in the intersection of neuroscience, machine learning, and graph analytics. <br> Anatomical and functional MRI images of the brain have been used to understand the functional connectivity of the human brain and are particularly important in identifying underlying neurodegenerative conditions such as Alzheimer's, Parkinson's, and Autism. Recently, the study of the brain in the form of brain networks using machine learning and graph analytics has become increasingly popular, especially to predict the early onset of these conditions. A brain network, represented as a graph, retains richer structural and positional information that traditional examination methods are unable to capture. However, the lack of brain network data transformed from functional MRI images prevents researchers from data-driven explorations. One of the main difficulties lies in the complicated domain-specific preprocessing steps and the exhaustive computation required to convert data from MRI images into brain networks. We bridge this gap by collecting a large amount of available MRI images from existing studies, working with domain experts to make sensible design choices, and preprocessing the MRI images to produce a collection of brain network datasets. The datasets originate from 5 different sources, cover 3 neurodegenerative conditions, and consist of a total of 2,642 subjects. <br> We test our graph datasets on 5 machine learning models commonly used in neuroscience and on a recent graph-based analysis model to validate the data quality and to provide domain baselines. To lower the barrier to entry and promote the research in this interdisciplinary field, we release our complete preprocessing details, codes, and brain network data. <br> <br> To stay informed about the new updates of the datasets, kindly provide us with your email address: https://forms.gle/KGAajR6LEysXWKvKA
DOI: 10.5517/ccdc.csd.cc2df646
title: CCDC 2217217: Experimental Crystal Structure Determination

description: Related Article: Xiao-Gang Chen, Yuan-Yuan Tang, Hui-Peng Lv, Xian-Jiang Song, Hang Peng, Hang Yu, Wei-Qiang Liao, Yu-Meng You, Ren-Gen Xiong|2023|J.Am.Chem.Soc.|145|1936|doi:10.1021/jacs.2c12306
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fy0p3
title: CCDC 2262215: Experimental Crystal Structure Determination

description: Related Article: Yun-Jing Zhong, Zhi-Jian Ouyang, Xiao-Man Kuang, You-Hong Li, Wen-Bin Chen, Meng Yang, Wen Dong|2023|CrystEngComm|25|5524|doi:10.1039/D3CE00678F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fy0q4
title: CCDC 2262216: Experimental Crystal Structure Determination

description: Related Article: Yun-Jing Zhong, Zhi-Jian Ouyang, Xiao-Man Kuang, You-Hong Li, Wen-Bin Chen, Meng Yang, Wen Dong|2023|CrystEngComm|25|5524|doi:10.1039/D3CE00678F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fy0r5
title: CCDC 2262217: Experimental Crystal Structure Determination

description: Related Article: Yun-Jing Zhong, Zhi-Jian Ouyang, Xiao-Man Kuang, You-Hong Li, Wen-Bin Chen, Meng Yang, Wen Dong|2023|CrystEngComm|25|5524|doi:10.1039/D3CE00678F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10019961
title: Bermuda Atlantic Time-Series Study (BATS) Bottle Validation

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS Bottle Validation (bval_bottle) dataset is a collection of discrete bottle samples from 1991-2022, including in-situ measurements of CO2, nutrients, carbon, oxygen, temperature, and Prochlorococcus and Synechococcus abundance. Note all bottle fires are included that do not have any BATS core parameters so as to be of use for other ancillary measurements. No data was provided for Particulate Biogenic Silica or Particulate Lithogenic Silica, so those variables were not included in this dataset.  
This description has been reproduced using https://www.dropbox.com/s/2vutjrt5ce9t5qx/bval_bottle.txt?dl=0
DOI: 10.5281/zenodo.10019960
title: Bermuda Atlantic Time-Series Study (BATS) Bottle Validation

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS Bottle Validation (bval_bottle) dataset is a collection of discrete bottle samples from 1991-2022, including in-situ measurements of CO2, nutrients, carbon, oxygen, temperature, and Prochlorococcus and Synechococcus abundance. Note all bottle fires are included that do not have any BATS core parameters so as to be of use for other ancillary measurements. No data was provided for Particulate Biogenic Silica or Particulate Lithogenic Silica, so those variables were not included in this dataset.  
This description has been reproduced using https://www.dropbox.com/s/2vutjrt5ce9t5qx/bval_bottle.txt?dl=0
DOI: 10.5517/ccdc.csd.cc2g1lhm
title: CCDC 2265650: Experimental Crystal Structure Determination

description: Related Article: Pramod Kumar, Biplab Maji|2023|J.Mater.Chem.A|11|20752|doi:10.1039/D3TA03280A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24354352
title: Metagenomic sequencing and reconstruction of 82 microbial genomes from barley seed communities.

description: Here we present 82 microbial genomes from barley seed communities obtained through metagenomic sequencing <br>
DOI: 10.6084/m9.figshare.24354352.v1
title: Metagenomic sequencing and reconstruction of 82 microbial genomes from barley seed communities.

description: Here we present 82 microbial genomes from barley seed communities obtained through metagenomic sequencing <br>
DOI: 10.6084/m9.figshare.19561255
title: Data from: Legacies of precipitation influence primary production in Panicum virgatum

description: Data and code used for analyses in the manuscript "Legacies of precipitation influence primary production in <em>Panicum virgatum</em>"
DOI: 10.6084/m9.figshare.19561255.v1
title: Data from: Legacies of precipitation influence primary production in Panicum virgatum

description: Data and code used for analyses in the manuscript "Legacies of precipitation influence primary production in <em>Panicum virgatum</em>"
DOI: 10.5281/zenodo.10019979
title: Bermuda Atlantic Time-Series Study (BATS) Primary Production

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) primary production rates dataset is time-series spanning from 1988 to 2022. The dataset contains six primary production bottle estimates, along with CTD temperature and salinity measurements.
This description has been reproduced using https://www.dropbox.com/sh/8dbumf8tx3uidjv/AADlDuNqqGVOQ08TLyjQ7nxAa/bats_primary_production_v002.txt?dl=0
DOI: 10.5281/zenodo.10019978
title: Bermuda Atlantic Time-Series Study (BATS) Primary Production

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) primary production rates dataset is time-series spanning from 1988 to 2022. The dataset contains six primary production bottle estimates, along with CTD temperature and salinity measurements.
This description has been reproduced using https://www.dropbox.com/sh/8dbumf8tx3uidjv/AADlDuNqqGVOQ08TLyjQ7nxAa/bats_primary_production_v002.txt?dl=0
DOI: 10.5281/zenodo.10019970
title: Bermuda Atlantic Time-Series Study (BATS) Pigment Data Validation

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) discrete HPLC pigment validation dataset is time-series spanning from 1996 to 2022. The dataset contains the 21 separate in-situ pigment measurements along with sampling depth and the BATS Cruise ID.
This description has been reproduced using https://www.dropbox.com/s/6ajl545hyua8ot8/bval_pigments.txt?dl=0
DOI: 10.5281/zenodo.10019969
title: Bermuda Atlantic Time-Series Study (BATS) Pigment Data Validation

description: This dataset is published on Zenodo by the Simons CMAP curators for long-term care. All credits go to the data producers at the Bermuda Atlantic Time-series Study (BATS): https://bats.bios.asu.edu/bats-data/ 
The BATS (Bermuda Atlantic Time-series Study) discrete HPLC pigment validation dataset is time-series spanning from 1996 to 2022. The dataset contains the 21 separate in-situ pigment measurements along with sampling depth and the BATS Cruise ID.
This description has been reproduced using https://www.dropbox.com/s/6ajl545hyua8ot8/bval_pigments.txt?dl=0
DOI: 10.5519/qd.gv09le04
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25345/c5m61c12h
title: MassIVE MSV000093147 - GNPS - comparison of extraction method on untargeted metabolomics of human milk
title: Comparison of human milk extracted in 100% MeOH (MeOH_1), 50:50 MeOH:MTBE (MTBE_1), and 75:25 MeOH:MTBE (MTBE_2). For all samples, 50 uL milk was sonicated in 400 uL extraction solution and then spun down to remove particles. We used this data to standardize our milk extractions to 75:25 MeOH:MTBE.
DOI: 10.6084/m9.figshare.24354454.v1
title: Data - All-Passive Microwave-Diode Nonreciprocal Metasurface

description: Data and code to generate Figure 1 (d) and (e).
DOI: 10.6084/m9.figshare.17955254
title: Portable waveguide-based optical biosensor - spectral data

description: <br>Spectral data and signal-to-noise calculations for comparison assays between existing benchtop optical biosensor (Bowguide) and test-bed sensor for PEGASUS (PTB).Manuscript DOI: 10.3390/bios12040195
DOI: 10.6084/m9.figshare.17955254.v2
title: Portable waveguide-based optical biosensor - spectral data

description: <br>Spectral data and signal-to-noise calculations for comparison assays between existing benchtop optical biosensor (Bowguide) and test-bed sensor for PEGASUS (PTB).Manuscript DOI: 10.3390/bios12040195
DOI: 10.6084/m9.figshare.17955254.v1
title: Portable waveguide-based optical biosensor - spectral data

description: Spectral data and signal-to-noise calculations for comparison assays between existing benchtop optical biosensor (Bowguide) and test-bed sensor for PEGASUS (PTB).<br>
DOI: 10.6084/m9.figshare.19449989
title: Single-copy nucleic acid waveguide biosensor - spectral data

description: Spectral data for "Amplification-free nucleic acid detection at the single-copy level with a fluorescence-based waveguide biosensor"<br>July 16, 2022 - updated with new data acquired in revisions for peer review<br>Manuscript DOI: 10.3389/fsens.2022.948466
DOI: 10.6084/m9.figshare.19449989.v2
title: Single-copy nucleic acid waveguide biosensor - spectral data

description: Spectral data for "Amplification-free nucleic acid detection at the single-copy level with a fluorescence-based waveguide biosensor"<br>July 16, 2022 - updated with new data acquired in revisions for peer review<br>Manuscript DOI: 10.3389/fsens.2022.948466
DOI: 10.6084/m9.figshare.19449989.v1
title: Single-copy nucleic acid waveguide biosensor - spectral data

description: Spectral data for "Amplification-free nucleic acid detection at the single-copy level with a fluorescence-based waveguide biosensor"<br>
DOI: 10.6084/m9.figshare.19896574
title: Nanodisc ultraviolet absorption spectral data

description: Spectral data for "Evidence of excited-state lifetime enhancement in dimyristoyl-phosphocholine nanodiscs by ultraviolet absorption spectroscopy"Manuscript DOI: 10.1063/5.0102149
DOI: 10.6084/m9.figshare.19896574.v1
title: Nanodisc ultraviolet absorption spectral data

description: Spectral data for "Evidence of excited-state lifetime enhancement in dimyristoyl-phosphocholine nanodiscs by ultraviolet absorption spectroscopy"Manuscript DOI: 10.1063/5.0102149
DOI: 10.26188/20760067
title: Transport requirements for construction sectors - A4

description: This data are pure input-output values for the direct transport requirements of construction sectors in Australia based on 2014-15 input-output tables. These values are used as part of the EPiC Database. They can be multiplied by the cost of a construction project (converted to 2015 terms) to estimate the A4 transport requirements for water, carbon or energy. The data provides water, carbon and energy requirements for four different transport modes for each construction sector. To determine the total direct transport-related water, carbon or energy for a construction project, use the combined (top) value for all transport modes for the relevant construction sector.
DOI: 10.26188/20760067.v1
title: Transport requirements for construction sectors - A4

description: This data are pure input-output values for the direct transport requirements of construction sectors in Australia based on 2014-15 input-output tables. These values are used as part of the EPiC Database. They can be multiplied by the cost of a construction project (converted to 2015 terms) to estimate the A4 transport requirements for water, carbon or energy. The data provides water, carbon and energy requirements for four different transport modes for each construction sector. To determine the total direct transport-related water, carbon or energy for a construction project, use the combined (top) value for all transport modes for the relevant construction sector.
DOI: 10.6084/m9.figshare.24354454
title: Data of "All-Passive Microwave-Diode Nonreciprocal Metasurface"

description: Data and code to generate figures in the main text and supplementary figures in "All-Passive Microwave-Diode Nonreciprocal Metasurface".
DOI: 10.6084/m9.figshare.24354454.v2
title: All-Passive Microwave-Diode Nonreciprocal Metasurface - Fig1 d and e

description: Data and code to generate Figure 1 (d) and (e).
DOI: 10.6084/m9.figshare.24354454.v3
title: Data of "All-Passive Microwave-Diode Nonreciprocal Metasurface"

description: Data and code to generate figures in the main text and supplementary figures in "All-Passive Microwave-Diode Nonreciprocal Metasurface".
DOI: 10.5281/zenodo.10019584
title: Protein sequences matching TIGRFAM models

description: A set of 411 large and 3,001 small TIGRFAM protein families originally used for benchmarking sequence clustering programs. Large families contain at least 20,000 sequences with a genus label, whereas small contain fewer than 20,000. Sequences were downloaded from NCBI and renamed by their original name (accession number) followed by their semi-colon separated NCBI taxonomy of the originating organism. For example, the first sequence in TIGRFAM_large/TIGRFAM00005.fas.gz is named:

WP_000005837.1 RluA family pseudouridine synthase, partial [Bacillus anthracis];TIGR00005(group);cellular organisms(no rank);Bacteria(superkingdom);Terrabacteria group(clade);Firmicutes(phylum);Bacilli(class);Bacillales(order);Bacillaceae(family);Bacillus(genus);Bacillus cereus group(species group);Bacillus anthracis(species)