cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21223/tcz8cd
title: Dataset for: Assessment of Heat-Tolerant Potato Varieties in Tajikistan (2011)

description: The evaluation of 10 potato clones was conducted in the Tajikistan region, specifically in the localities of Muminabad and Fayzabad, in 2011. The experiment followed a randomized complete block design (RCBD) with three repetitions, aiming to assess heat tolerance in these areas.
DOI: 10.21223/tcz8cd/bwtkbn
title: PTYL201106_FAYZABAD_HEAT.xls

description: :unav
DOI: 10.21223/tcz8cd/n7itzn
title: 02_Fieldbook_PTYL201106_FAYZABAD_heat.txt

description: :unav
DOI: 10.21223/tcz8cd/tcsjc9
title: 03_Data_dictionary.txt

description: :unav
DOI: 10.25345/c5n29ph7w
title: MassIVE MSV000092967 - Identifying Serum Metabolomic Markers Associated with Skin Disease Activity in patients with Psoriatic Arthritis
title: This dataset contains .RAW files acquired for the paper: Identifying Serum Metabolomic Markers Associated with Skin Disease Activity in patients with Psoriatic Arthritis.
DOI: 10.25345/c5hd7p36g
title: MassIVE MSV000092968 - HEK293 N-Terminal Halo-HDAC2 Tags
title: XL-MS analysis of HEK293 Cells Expressing N-Terminally Tagged HDAC2 proteins.
DOI: 10.6084/m9.figshare.24201339
title: Minimal dataset for PLOS ONE.xlsx

description: Minimal dataset regarding the inflammatory monocyte response following elective PCI
DOI: 10.6084/m9.figshare.24201339.v1
title: Minimal dataset for PLOS ONE.xlsx

description: Minimal dataset regarding the inflammatory monocyte response following elective PCI
DOI: 10.5281/zenodo.8381359
title: Subfornical organ (SFO) seqFISH

description: We prepared the seqFISH datasets for the subfornical organ (SFO) with a total of 23 sections from sated and sodium-depleted states.
DOI: 10.5281/zenodo.8381358
title: Subfornical organ (SFO) seqFISH

description: We prepared the seqFISH datasets for the subfornical organ (SFO) with a total of 23 sections from sated and sodium-depleted states.
DOI: 10.5281/zenodo.8380740
title: Unexpected Latency of Z-Stereoretentive Ruthenium Olefin Metathesis Catalysts Bearing Unsymmetrical N-heterocyclic Carbene or Cyclic(alkyl)(amino)carbene Ligands

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Organometallics</em> <strong>2023</strong>, <em>42</em>, 2453–2459; doi.org/10.1021/acs.organomet.2c00428 The research was supported by the National Science Centre, Poland (OPUS grant 2019/33/B/ST4/00874).
DOI: 10.5281/zenodo.8380739
title: Unexpected Latency of Z-Stereoretentive Ruthenium Olefin Metathesis Catalysts Bearing Unsymmetrical N-heterocyclic Carbene or Cyclic(alkyl)(amino)carbene Ligands

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Organometallics</em> <strong>2023</strong>, <em>42</em>, 2453–2459; doi.org/10.1021/acs.organomet.2c00428 The research was supported by the National Science Centre, Poland (OPUS grant 2019/33/B/ST4/00874).
DOI: 10.24432/c5bs66
title: National Health and Nutrition Health Survey 2013-2014 (NHANES) Age Prediction Subset
DOI: 10.24432/c5702t
title: TCGA Kidney Cancers
DOI: 10.6084/m9.figshare.24201396
title: <b>Variability and evolution of gene order rearrangement in mitochondrial genomes of arthropods (except Hexapoda)</b>

description: In the species-rich Phylum Arthropoda, mitochondrial genome is relatively well conserved both in terms of number and order of genes. However, specific clades have a ‘typical’ gene order that differs from the putative arthropod ancestral arrangement. The aim of this work was to compare the rate of mitochondrial gene rearrangements at inter- and intra-taxonomic level in the Arthropoda, and to postulate the most parsimonious ancestral orders representing the four major arthropod lineages. For this purpose, we performed a comparative genomic analysis of arthropod mitochondrial genomes available in the NCBI database. Using a combination of bioinformatics methods that examined mitochondrial gene rearrangements in 464 species of arthropods from three subphyla (Chelicerata, Myriapoda and Crustacea [except Hexapoda]), previously analyzed), we observed differences in the rate of rearrangement within major lineages. A higher rate of mitochondrial genome rearrangement was observed in Crustacea and Chelicerata compared to Myriapoda. Likewise, within each subphylum, early branching clades exhibit less variability in mitochondrial genome order than late branching clades. We identified ‘hot regions’ in the mitochondrial genome of each studied subphylum, and postulate the most likely ancestral gene order in each subphylum and taxonomic order. Our work provides new evidence on the evolutionary dynamics of mitochondrial genome gene order in arthropods and new mitochondrial genome architectures in different taxonomic divisions within each major lineage of arthropodsevolu
DOI: 10.6084/m9.figshare.24201396.v1
title: <b>Variability and evolution of gene order rearrangement in mitochondrial genomes of arthropods (except Hexapoda)</b>

description: In the species-rich Phylum Arthropoda, mitochondrial genome is relatively well conserved both in terms of number and order of genes. However, specific clades have a ‘typical’ gene order that differs from the putative arthropod ancestral arrangement. The aim of this work was to compare the rate of mitochondrial gene rearrangements at inter- and intra-taxonomic level in the Arthropoda, and to postulate the most parsimonious ancestral orders representing the four major arthropod lineages. For this purpose, we performed a comparative genomic analysis of arthropod mitochondrial genomes available in the NCBI database. Using a combination of bioinformatics methods that examined mitochondrial gene rearrangements in 464 species of arthropods from three subphyla (Chelicerata, Myriapoda and Crustacea [except Hexapoda]), previously analyzed), we observed differences in the rate of rearrangement within major lineages. A higher rate of mitochondrial genome rearrangement was observed in Crustacea and Chelicerata compared to Myriapoda. Likewise, within each subphylum, early branching clades exhibit less variability in mitochondrial genome order than late branching clades. We identified ‘hot regions’ in the mitochondrial genome of each studied subphylum, and postulate the most likely ancestral gene order in each subphylum and taxonomic order. Our work provides new evidence on the evolutionary dynamics of mitochondrial genome gene order in arthropods and new mitochondrial genome architectures in different taxonomic divisions within each major lineage of arthropodsevolu
DOI: 10.24432/c5zg8f
title: AIDS Clinical Trials Group Study 175
DOI: 10.6084/m9.figshare.24201420
title: Contact Force and Strain Energy Results - Gibbons and Chen 2023

description: Input geometric parameters and output values of final contact force (stiffness) and total strain energy (toughness) for the full dataset used in our FEA study.
DOI: 10.6084/m9.figshare.24201420.v1
title: Contact Force and Strain Energy Results - Gibbons and Chen 2023

description: Input geometric parameters and output values of final contact force (stiffness) and total strain energy (toughness) for the full dataset used in our FEA study.
DOI: 10.15482/usda.adc/1529611
title: Data from: CitDet a benchmark dataset for citrus fruit detection

description: Images in this project represent the raw data in support of "CitDet: A Benchmark Dataset for Citrus Fruit Detection". The images are of the front and back of citrus trees, collected in 2021 and 2022 in Ft. Pierce, Florida from two trials "Bingo2017" or "T50" (.jpg files). These images were collected in a field in which all trees are experiencing 'greening disease' in contrast to trees that have not been exposed. Corresponding observed yield information for the Bingo2017 trial is also available (.txt file).
Resources in this dataset:


CitDet Image Files
File Name: SharedImages.zip


Key for Images
File Name: CitDetImageKey.csv


Yield Estimates
File Name: BingoYieldEstimates.csv
DOI: 10.5519/qd.6vb95u7x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (31 records)
DOI: 10.5281/zenodo.8381119
title: trichilia_minutiflora_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8381118
title: trichilia_minutiflora_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8381394
title: Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams -- associated data

description: Supplementary experimental data for the results presented in the paper "Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams", collected, processed and analysed by the research group within the School of Mathematics and Physics at Queen's University Belfast. Article located at DOI: 10.1103/PhysRevResearch.00.003000 Electron and positron data over 8 nominal shots are provided as: background corrected spatial lineouts (in mm) derived energy spectra (in GeV) Also included are binned energy spectra for electrons and positrons, as well as the deconvolved photon spectra. Data is presented in the format of compressed Python numpy (.npz) files.
DOI: 10.5281/zenodo.8381393
title: Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams -- associated data

description: Supplementary experimental data for the results presented in the paper "Experimental characterization of a single-shot spectrometer for high-flux, GeV-scale gamma-ray beams", collected, processed and analysed by the research group within the School of Mathematics and Physics at Queen's University Belfast. Article located at DOI: 10.1103/PhysRevResearch.00.003000 Electron and positron data over 8 nominal shots are provided as: background corrected spatial lineouts (in mm) derived energy spectra (in GeV) Also included are binned energy spectra for electrons and positrons, as well as the deconvolved photon spectra. Data is presented in the format of compressed Python numpy (.npz) files.
DOI: 10.5281/zenodo.8232438
title: Data: Single visit stigmatic pollen deposition by insect pollinators of Avocado (Persea americana) in New Zealand.

description: A wide range of bee and non-bee insects visit the flowers of avocado (<em>Persea americana</em> Mill.) in New Zealand (Read et al., 2017). To determine whether any of these insects contribute to pollination, we assessed single visit stigmatic pollen deposition for 12 insect species. Orchards were located in the Bay of Plenty 37.4234° S, 176.7416° E (n=6) and Northland 35.4136° S, 173.9321° E (n=1) regions of New Zealand, and data was collected in 2013 and 2014. In total, data was collected from 312 flower visits.
description: {"references": ["Howlett, B.G., Evans, L.J., Pattemore, D.E., Nelson, W.R., 2017. Stigmatic pollen delivery by flies and bees: Methods comparing multiple species within a pollinator community. Basic and Applied Ecology 19, 19-25.", "Read, S.F.J., Howlett, B.G., Jesson, L.K., Pattemore, D.E., 2017. Insect visitors to avocado flowers in the Bay of Plenty, New Zealand. New Zealand Plant Protection 70, 38-44."]}
DOI: 10.5281/zenodo.8232439
title: Data: Single visit stigmatic pollen deposition by insect pollinators of Avocado (Persea americana) in New Zealand.

description: A wide range of bee and non-bee insects visit the flowers of avocado (<em>Persea americana</em> Mill.) in New Zealand (Read et al., 2017). To determine whether any of these insects contribute to pollination, we assessed single visit stigmatic pollen deposition for 12 insect species. Orchards were located in the Bay of Plenty 37.4234° S, 176.7416° E (n=6) and Northland 35.4136° S, 173.9321° E (n=1) regions of New Zealand, and data was collected in 2013 and 2014. In total, data was collected from 312 flower visits.
description: {"references": ["Howlett, B.G., Evans, L.J., Pattemore, D.E., Nelson, W.R., 2017. Stigmatic pollen delivery by flies and bees: Methods comparing multiple species within a pollinator community. Basic and Applied Ecology 19, 19-25.", "Read, S.F.J., Howlett, B.G., Jesson, L.K., Pattemore, D.E., 2017. Insect visitors to avocado flowers in the Bay of Plenty, New Zealand. New Zealand Plant Protection 70, 38-44."]}
DOI: 10.5281/zenodo.8207215
title: Learning to Predict and Improve Build Success Rates in Package Ecosystems

description: We present a method to predict software build success. We leverage the heavily parameterized package recipes from Spack to produce a training data set on builds, and we use Graph Neural Networks to learn whether a given package configuration will build successfully or not. We apply our tool to the U.S. Exascale Project’s software stack, and we demonstrate its effectiveness in predicting whether a given package will build successfully. Our method can be used to predict outcomes of software builds with high accuracy, eliminating the need for manual builds. Furthermore, we demonstrate how these build predictions can be used to improve the rate of build success in the Spack package manager.
DOI: 10.5281/zenodo.8207216
title: Learning to Predict and Improve Build Success Rates in Package Managers

description: We present a method to predict software build success. We leverage the heavily parameterized package recipes from Spack to produce a training data set on builds, and we use Graph Neural Networks to learn whether a given package configuration will build successfully or not. We apply our tool to the U.S. Exascale Project’s software stack, and we demonstrate its effectiveness in predicting whether a given package will build successfully. Our method can be used to predict outcomes of software builds with high accuracy, eliminating the need for manual builds. Furthermore, we demonstrate how these build predictions can be used to improve the rate of build success in the Spack package manager.
DOI: 10.5281/zenodo.8207339
title: Learning to Predict and Improve Build Success Rates in Package Ecosystems

description: We present a method to predict software build success. We leverage the heavily parameterized package recipes from Spack to produce a training data set on builds, and we use Graph Neural Networks to learn whether a given package configuration will build successfully or not. We apply our tool to the U.S. Exascale Project’s software stack, and we demonstrate its effectiveness in predicting whether a given package will build successfully. Our method can be used to predict outcomes of software builds with high accuracy, eliminating the need for manual builds. Furthermore, we demonstrate how these build predictions can be used to improve the rate of build success in the Spack package manager.
DOI: 10.6084/m9.figshare.3761562.v2720
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5066/p9mspo83
title: High-resolution seismic imaging data acquired in 2021 across the West Winters Fault, Great Valley Fault System at Bigelow Hills, Yolo County, California

description: In June of 2021, the U.S. Geological Survey conducted a high-resolution seismic survey at Winters, California. Seismic data were acquired using a DTCC SmartSolo 3-component nodal seismograph system ("node"), which continuously recorded at 2000 samples per second. Nodes were deployed 5 meters apart from west-southwest to east-northeast to create an approximately 800-m-long linear profile. P-wave data were generated primarily using a 500-lb (227-kg) accelerated weight drop at each recording station. In areas of difficult access, P-wave data were generated using a sledgehammer striking a steel plate. S-wave data were generated using a sledgehammer horizontally striking an aluminum block anchored to the ground. Every 50 meters we generated mixed P- and S-wave data using a 100-lb (45-kg) accelerated weight diagonally striking a 45-degree-sloped aluminum block. Shot gathers were created in SEG-Y format (Barry et al, 1975) by extracting several seconds of data from each node for each recorded shot time. This report provides the metadata needed to analyze the seismic data. References: Barry, K.M., Cavers, D.A., and Kneale, C.W., 1975, Recommended standards for digital tape formats: Geophysics, vol. 40, no. 2, p. 344-352.
DOI: 10.5519/qd.t24nhtmu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.25345/c5cn6z92b
title: MassIVE MSV000092969 - White matter changes in APPKI mice across age
title: Alzheimer's disease (AD) is the most common form of dementia and results in neurodegeneration and cognitive impairment. White matter (WM) is also affected in AD and has implications for neural circuitry and cognitive function. The trajectory of these changes across age, however, is still not well understood, especially at earlier stages in life. To address this, we used the AppNL-G-F/NL-G-F knock-in (APPKI) mouse model that harbors a single copy knock-in of the human amyloid precursor protein (App) gene with three familial AD mutations. We performed in vivo diffusion tensor imaging (DTI) to study how the structural properties of the brain change across age in the context of AD. In late age APPKI mice, we observed reduced fractional anisotropy (FA), a proxy of WM integrity, in multiple brain regions, including the hippocampus, anterior commissure, neocortex, hypothalamus, and thalamus. At the cellular level, we observed increased numbers of oligodendrocytes at middle age (prior to observations in DTI) in both the anterior commissure, a major interhemispheric WM tract, and the hippocampus, which is involved in memory and heavily affected in AD, prior to observations in DTI. Proteomics analysis of the hippocampus also revealed altered expression of oligodendrocyte-related proteins with age and in APPKI mice. Together, these results help to improve our understanding of the development of AD pathology with age, and imply that middle age may be an important temporal window for potential therapeutic intervention.
DOI: 10.34740/kaggle/dsv/6548321
title: All WWE and WWF Matches from 4/30/1979 to 9/25/23
DOI: 10.5066/p9z3ue7i
title: Three-component nodal recordings of aftershocks from the 15 May 2020 Mw 6.5 Monte Cristo, Nevada earthquake

description: In May of 2020, the U.S. Geological Survey responded to the M6.5 Monte Cristo Range Earthquake, occurring near Tonopah, Nevada: https://www.usgs.gov/news/featured-story/m65-monte-cristo-range-earthquake. 60 DTCC SmartSolo 3-component nodal seismograph systems ("nodes") were deployed in the area and continuously recorded seismic data for about a month. Nodes were deployed in various arrays including a square grid, circular grid, linear array, and near 2 permanent strong-motion instruments. This report provides the metadata needed to analyze the seismic data.
DOI: 10.6084/m9.figshare.24201528.v1
title: SPM results Observation right

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201510.v1
title: fMRI mean timeseries (gordon ROIs and thalamus rois) right hand

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201516.v1
title: SPM results Observation left

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201519
title: SPM results Observation right

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201519.v1
title: SPM results Observation right

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201525
title: SPM results Manipulation left

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201525.v1
title: SPM results Manipulation left

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201528
title: SPM results Observation right

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201510
title: fMRI mean timeseries (gordon ROIs and thalamus rois) right hand

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201513.v1
title: fMRI mean timeseries (gordon ROIs and thalamus rois) left hand

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201516
title: SPM results Observation left

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201489
title: 2_level_graph_60_nodes_threshold_0

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201489.v1
title: 2_level_graph_60_nodes_threshold_0

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201498
title: Mathlab adjacency matrix 113 and 60 node graph

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201513
title: fMRI mean timeseries (gordon ROIs and thalamus rois) left hand

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201483
title: 1st_level_graph_113_nodes_threshold_0

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201483.v1
title: 1st_level_graph_113_nodes_threshold_0

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201498.v1
title: Mathlab adjacency matrix 113 and 60 node graph

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>
DOI: 10.6084/m9.figshare.24201501
title: Data Glove Results

description: Data <br> Imitation of object manipulation underlying shape exploration: from observation to execution - <em>A graph theory analysis of finger gaiting as revealed by an fMRI study</em>