cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13852048
title: The 2023 global warming spike was driven by El Niño/Southern Oscillation (Data)

description: GFDL FLOR and CM2.1 surface temperature datasets used in:Raghuraman et al., 2024, Atmospheric Chemistry and Physics,"The 2023 global warming spike was driven by El Niño/Southern Oscillation"

Point of Contact: Shiv Priyam Raghuraman, sraghur2@illinois.edu

All other model data files used in paper can be downloaded from their respective websites (see paper's "Data availability" section).
DOI: 10.5281/zenodo.4247833
title: Global database of offshore freshened groundwater records

description: A global database of 305 records of offshore freshened groundwater has been compiled using published information. The criteria for including records in this database include salinities of ≤33 PSU, a location of ≥1 km away from the coast, and a distance of &gt;10 km from other records. This is an outcome of the MARCAN project. This project has received funding from the European Research Council (ERC), under the European Union's Horizon 2020 research and innovation programme (grant agreement No 677898 (MARCAN)).
DOI: 10.5281/zenodo.4564954
title: Effect of habitat quality and phenotypic variation on abundance- and trait-based early warning signals of population collapses

description: Two datasets: 1. A csv file of all the treatments except the control : "Global_data_exp_1". This particular csv file includes timeseries of abundance, body size, standard deviation of body size for all the treatments except the control treatment. 2. Control treament csv file : "Control_Treatment.csv". This particular csv file includes timeseries of abundance, body size, standard deviation of body size for only the control treatment. 3. "All.Kendall.Tau.dat.RData" is the RData set that contains data from post-analysis of the timeseries data. It consists of Kendalls tau values of all the EWS only of the treatments but not of the control treatment. 4. Kendall.tau.data_alltreatment.csv : This dataset contains all the kendalls tau value of all the EWS of all the treatments including the control. 5. Mixed-model-ews_ROC_analysis.Rmd: This is a rmarkdown script. ALL the above datasets can be used to partly reproduce our results using this Rmarkdown script.
DOI: 10.5284/1000237
title: Dayr Mar Elian Archaeological Project

description: Dayr Mar Elian esh Sharqi (the monastery of St. Julian of the East) lies 5km north-west of the village of Qaryatayn in the Syrian desert.  Local legend attributes the foundation of the monastery to late antiquity.  Archaeological investigation of the site began in 2001.  AHDS Archaeology has archived a collection of photographs taken during these investigations which can be viewed on-line.
DOI: 10.5883/bold:aai3132
title: Overview of Barcode Index Number - BOLD:AAI3132

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.25702605.v6
title: <b>Data of "</b>Zn Isotope Tracing Unveils Primary Anthropogenic Zn Sources in Glacial Cryoconite of the High Asian Mountains<b>"</b>

description: <b>Data of </b><b>“</b>Zn Isotope Tracing Unveils Primary Anthropogenic Zn Sources in Glacial Cryoconite of the High Asian Mountains<b>”</b>
DOI: 10.5284/1000208
title: The Sydney Cyprus Survey Project

description: The Sydney Cyprus Survey Project archive is the result of an intensive survey carried out in the foothills of the Troodos mountains in Cyprus. The archive contains data files, GIS files and explanatory texts.
DOI: 10.5883/bold:aai3140
title: Overview of Barcode Index Number - BOLD:AAI3140

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3147
title: Overview of Barcode Index Number - BOLD:AAI3147

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3150
title: Overview of Barcode Index Number - BOLD:AAI3150

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3151
title: Overview of Barcode Index Number - BOLD:AAI3151

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3160
title: Overview of Barcode Index Number - BOLD:AAI3160

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3161
title: Overview of Barcode Index Number - BOLD:AAI3161

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3164
title: Barcode Index Number BOLD:AAI3164

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3167
title: Overview of Barcode Index Number - BOLD:AAI3167

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3168
title: Barcode Index Number BOLD:AAI3168

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3169
title: Barcode Index Number BOLD:AAI3169

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.18712/nsd-nsd2995-v1
title: Quality of Life Survey 2021

description: In the spring of 2021, Statistics Norway conducted a national survey on quality of life. The main purpose of the survey was to gain knowledge about the quality of life in the Norwegian population and to study differences in quality of life among different population groups. The survey covers the following topics: general quality of lige, health, social relations, working conditions and environment, economic situations, housing and living environment, social conditions, everyday life and leisure. In addition, some register information has been added afterwards, including information on education, housing, work and income.
DOI: 10.25910/8w4d-0b47
title: The effects of sport participation for adults with physical or intellectual disability: a scoping review
DOI: 10.5066/p9yw3zq2
title: U.S. Geological Survey - Gap Analysis Project Species Habitat Richness

description: The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is suitable for the species to occur (i.e. suitable to support one or more life history requirements for breeding, resting, or foraging), while areas not included in the map are those predicted to be unsuitable for the species. We developed habitat maps using a deductive modelling process by compiling information on species habitat associations into a habitat relationship database. Information was compiled from the characterizations of species habitat in books, databases and primary literature, as well as from expert opinion. We used habitat descriptions to determine which of the National GAP Land Cover ecological systems and land use classes the species could occur in. The dataset contains over 580 map classes and represents detailed and nationally consistent data on vegetation in the United States and provides the ecological context necessary to build fine grain habitat associations. For many species, we used additional environmental variables including elevation, proximity to water features, proximity to wetlands, level of human development, forest ecotone width and forest edge. For a full description of the species habitat distribution modeling see: Gergely,K.J., Boykin, K.G., McKerrow, A.J., Rubino, M.J., Tarr, N.M., and Williams, S.G., 2019, Gap Analysis Project (GAP) terrestrial vertebrate species richness maps for the conterminous U.S.: U.S. Geological Survey Scientific Investigations Report 2019 5034, https://doi.org/10.3133/sir20195034.
DOI: 10.5281/zenodo.10503349
title: Capturing urban heterogeneity enhances tropical cyclones simulation in Houston (dataset)

description: WRF simulation output for the paper titled "Capturing urban heterogeneity enhances tropical cyclones simulation in Houston".
DOI: 10.5281/zenodo.11551777
title: Translaminar Fracture in a Mini-Protruded Compact Tension Specimen: A Dataset of Micro-Scale Tomograms of a Thin-Ply Carbon Fibre-Epoxy Composite acquired via Synchrotron Radiation Computed Tomography During In-Situ Loading

description: In this study, we developed a scaled-down “mini-protruded compact tension specimen” to facilitate in-situ tensile testing coupled with synchrotron radiation computed tomography (SRCT). This innovative design provides valuable insights into in-situ translaminar damage mechanisms, significantly enhancing the accuracy of data used in finite element models.

The specimen is made of HS40 carbon fibres and ThinPregTM 736LT epoxy resin, with the layup of [902/0/902/0/902/0/902]. The translaminar fracture experiments were conducted under continuous loading and scanning using ultra-fast SRCT at the Swiss Light Source (SLS) TOMCAT beamline (Paul Scherrer Institut in Villigen, Switzerland). A polychromatic beam with an energy of 24 keV was used. The achieved voxel size was 800 nm, and 1000 projections per scan and 2 ms exposure time were acquired per scan. The GigaFRoST camera served as the detector. The scans were reconstructed into 3D volumes using the SLS’s in-house absorption-based algorithm (Gridrec) for critical loading steps during a test—both before and after a load drop (detailed in the accompanying Excel file). The tensile loading was exerted on the specimen at a rate of 0.2 mm/min until failure during scanning with the Deben CT500.
DOI: 10.5281/zenodo.2628068
title: Sonora 2018: Cloud-free, solar composition, solar C/O substellar evolution models

description: Tables of the evolution and photometry of brown dwarfs and extrasolar giant planets based on the model described in Marley et al. (2019, in prep.). This publication provides a detailed description of the physics included in the model. The main differences with the previously published tables by Saumon & Marley (2008) are

• updated "Sonora 2018" atmosphere models used as the surface boundary conditions, primarily involving improvements in the opacities of H2, CH4 and alkali resonance lines. The new atmosphere models are described in Marley et al. (2019, in prep.).

• including metals in the interior equation of state as an additional amount of helium. Currently, the evolution tracks are for solar C/O ratio (defined relative to solar, so C/O=1 here) with cloudless atmospheres.

V2.0 adds more photometry tables and evolution for [M/H]=-0.5 and +0.5 to the previous 0.0.

tables_m+0.0_2018.tar.gz is now deprecated as V1.0

Sonora_Bobcat_Tables.tar.gz is current V2.0 and is a superset of V1.0

Please cite Marley et al. (2019, in prep.) if you use these in a publication.
DOI: 10.5883/bold:aai3170
title: Barcode Index Number BOLD:AAI3170

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5883/bold:aai3179
title: Barcode Index Number BOLD:AAI3179

description: A cluster of barcode records associated with a Barcode Index Number(BIN). Each cluster is a proxy for a named or unnamed species. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.1304479
title: Expression of multiple horizontally acquired genes is a hallmark of both vertebrate and invertebrate genomes

description: Phylogenetic trees from the paper "Expression of multiple horizontally acquired genes is a hallmark of both vertebrate and invertebrate genomes" by Crisp et al. published in Genome Biology
DOI: 10.24432/c5b01c
title: Automobile
DOI: 10.25921/z787-9y54
title: Pacific Islands Passive Acoustic Network (PIPAN) 10kHz Data
DOI: 10.35111/exq3-x930
title: CALLHOME American English Speech

description: <h3>Introduction</h3><br>
<p>CALLHOME American English Speech was developed by the Linguistic Data Consortium (LDC) and consists of 120 unscripted 30-minute telephone conversations between native speakers of English.</p><br>
<p>All calls originated in North America; 90 of the 120 calls were placed to various locations outisde of North America, while the remaining 30 calls were made within North America. Most participants called family members or close friends.</p><br>
<h3>Data</h3><br>
<p>This corpus contains speech data files with documentation describing their contents and format along with the software packages needed to uncompress the speech data. Corresponding transcripts and documentation (<a href="http://catalog.ldc.upenn.edu/LDC97T14" rel="nofollow">LDC97T14</a>) are available separately, as is an associated lexicon (<a href="http://catalog.ldc.upenn.edu/LDC97L20" rel="nofollow">LDC97L20</a>).</p><br>
<h3>Samples</h3><br>
<p>Please listen to this <a href="desc/addenda/LDC97S42.sph">audio sample</a>.</p><br>
<h3>Updates</h3><br>
<p>The "shorten" and "sphere" directories have been removed.</p><br>
<p>The sphere directory contained NIST "SPeech HEader REsources" (SPHERE): C-language source code libraries and utilities for manipulating NIST SPHERE-format waveform files.</p><br>
<p>The shorten directory contained files for the "shorten" software for speech compression.</p><br>
<p>A more recent version of SPHERE utilities is available on the <a href="http://nist.gov/itl/iad/mig/tools.cfm" rel="nofollow">NIST web site</a>; additional utilities for converting SPHERE files are also available from <a href="https://www.ldc.upenn.edu/language-resources/tools/sphere-conversion-tools" rel="nofollow">LDC's web site.</a></p></br>
Portions © 1997 Trustees of the University of Pennsylvania
DOI: 10.5066/p9j490bh
title: Projections of Rangeland Fractional Component Cover Across Western US Rangelands for Representative Concentration Pathways (RCP) 4.5 and 8.5 Scenarios for the 2020s, 2050s, and 2080s Time-Periods

description: Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at a 30-m resolution across rangelands of the Western U.S. We used fractional component cover data for rangeland functional groups and weather data from the 1985 to 2021 reference period in conjunction with soils and topography data to develop empirical models describing the spatio-temporal variation in component cover. To investigate the ramifications of future change across the western US, we extended models based on historical relationships over the reference period to model landscape effects based on future weather conditions from two emissions scenarios (Representative Concentration Pathways [RCP] 4.5 and 8.5) and three time periods (2020s, 2050s, and 2080s). We tested both Generalized Additive Models (GAMs) and Deep Neural Network (DNN) models, finding that the latter led to superior spatial and statistical results. We build upon the projections of Rigge 2022, expanding our study area to include the entire Rangeland Condition Monitoring Assessment and Projection (RCMAP) study area (including all the sagebrush biome), using updated climate projections (Mahony et al. 2022), and applying a DNN classifier. Our results suggest more xeric vegetation across most of the study area, with an increasing dominance of non-sagebrush shrubs, annual herbaceous, and bare ground over herbaceous and sagebrush cover in both RCP scenarios. In general, both scenarios yielded similar results, but RCP 8.5 tended to be more extreme, with greater change relative to the reference period. Results demonstrate that in cool sites some degree of warming to growing season maximum temperature or non-growing season minimum temperature could be beneficial to sagebrush and shrub growth. This is not the case, regardless of temperature, for non-growing season maximum temperature. This information can be used to inform management to prepare for future vegetation composition and cover through the prioritization of conservation and restoration and shed light on species? range shifts. Users are encouraged to utilize this newest generations of projections due to lower error and broader geographic extent relative to (Rigge et al. 2022).
DOI: 10.5281/zenodo.1003914
title: Mt6129 Egl-19(N2368)Iv | 2010-05-11T15:50:12+01:00

description: This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org



<b>preview link</b> : https://www.youtube.com/watch?v=IUiwUpBtlAo
<b>strain</b> : MT6129
<b>timestamp</b> : 2010-05-11T15:50:12+01:00
<b>gene</b> : egl-19
<b>chromosome</b> : IV
<b>allele</b> : n2368
<b>strain_description</b> : egl-19(n2368)IV
<b>sex</b> : hermaphrodite
<b>stage</b> : adult
<b>ventral_side</b> : clockwise
<b>media</b> : NGM agar low peptone
<b>arena</b> :   
  <b>style</b> : petri
  <b>size</b> : 35
  <b>orientation</b> : away
  

<b>food</b> : OP50
<b>habituation</b> : 30m wait
<b>who</b> : Laura Grundy
<b>protocol</b> : Method in E. Yemini et al. doi:10.1038/nmeth.2560. Worm transferred to arena 30 minutes before recording starts.
<b>lab</b> :   
  <b>name</b> : William R Schafer
  <b>location</b> : MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 0QH, UK
  

<b>software</b> :   
  <b>name</b> : tierpsy (https://github.com/ver228/tierpsy-tracker)
  <b>version</b> : cbfc23eb4f1ac2f29be75ade7a937eed58a5b219
  <b>featureID</b> : @OMG
  

<b>base_name</b> : egl-19 (n2368)IV on food L_2010_05_11__15_50_12___6___11
<b>total time (s)</b> : 898.746
<b>frames per second</b> : 25.7069
<b>video micrometers per pixel</b> : 4.33523
<b>number of segmented skeletons</b> : 18436
DOI: 10.5281/zenodo.12776601
title: Northern and central Walker Lane horizontal velocities in North America and Sierra Nevada reference frames.

description: The data in this file contains east and north velocities covering the northern and central sections of the Walker Lane, USA. The velocities were obtained from GPS time series, available at Nevada Geodetic Laboratory (NGL): http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html (24 hour final solutions). The position time series were manually screened and corrected for offsets, and a local common-mode filter was applied following the methodology of Kreemer & Blewitt (2021, https://doi.org/10.1007/s00190-020-01466-5). Velocities in the North America frame were obtained using MIDAS, a robust median trend estimator (Blewitt et al., 2016,  https://doi.org/10.1002/2015JB012552). Two sets of stations were used to rotate the velocities into the Sierra Nevada frame: CAOV, CAPV, P140, P276, P310 for the northern section and CMBB, P245, P305, P308, P512 for the central section.

The file contains the following columns:



sta: station ID

lon: longitude of station (decimal degree)

lat: latitude of station (decimal degree)

ve_NA: east velocity in North America frame (mm/yr)

vn_NA: north velocity in North America frame (mm/yr)  

ve_SN: east velocity in Sierra Nevada frame (mm/yr)  

vn_SN: north velocity in Sierra Nevada frame (mm/yr)  

region: denotes whether the set of stations used to rotate the velocities into the Sierra Nevada frame are located in the northern (N) or central  (C) Walker Lane

sve: east velocity uncertainty (mm/yr)

 svn: north velocity uncertainty (mm/yr)

network: who operates the station
DOI: 10.5281/zenodo.4751624
title: Spatial deconvolution of HER2-positive Breast cancer delineates tumor-associated cell type interactions

description: Processed count matrices, brightfield HE-images (plain and annotated), spot selection files and meta-data associated with the manuscript "<em>Spatial Deconvolution of HER2-positive Breast Tumors Reveals Novel Intercellular Relationships</em>". The content of the files are: <strong>count-matrices.zip</strong> - processed count matrices formatted as [n_spots]x[n_genes] and named as [PATIENT][SECTION].tsv.gz. <strong>images.zip - </strong>contains two folders HE and annotation, the former holds the HE-images for respective section named as [PATIENT][SECTION].jpg, the latter holds the annotated (by the pathologist) images named by patient (only one section from each patient was annotated). <strong>spot-selection.zip - </strong>contains .tsv files to map array coordinates to pixel coordinates, allowing the spots and their associated expression values to be visualized jointly. Files are named as [PATIENT][SECTION]_selection.tsv.gz <strong>meta.zip - </strong>for all annotated sections, these files are similar to the spot-selection files, but also includes the label of each spot (e.g., breast glands, connective tissue, etc.). All files are password protected (encrypted), use the passeword <em>zNLXkYk3Q9znUseS</em> do decrypt the data. <strong>code.zip </strong>- a clone of the github repository created (2021-05-12).
DOI: 10.5525/gla.researchdata.67
title: Validated radiometric mapping in 2012 of areas in Japan affected by the Fukushima-Daiichi nuclear accident
DOI: 10.5883/bold:aai3187
title: Overview of Barcode Index Number - BOLD:AAI3187

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.6084/m9.figshare.22359802.v3
title: Traumatic spinal spondyloptosis presenting in a tertiary care unit in central Nepal Item

description: The data of 16 patients presenting with spondyloptosis in our center.