cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/2483925
title: Full UNITE+INSD dataset for Fungi

description: This FASTA file ("UNITE+INSDC") comprises “all” fungal ITS sequences of the UNITE and INSDC databases present in UNITE Species Hypotheses, updated and released some four times a year. Locked UNITE sequences and low quality (and overly short) INSDC sequences are however excluded.
DOI: 10.18462/iir.icr.2019.1330
title: Rigorous assessment of low GWP refrigerants in heat pumps from an ecologic perspective using life cycle assessment.
DOI: 10.5281/zenodo.7505140
title: Dataset for Symptoms of performance degradation during multi-annual drought: a large-sample, multi-model study

description: This dataset contains the data described in the journal article "Symptoms of performance degradation during multi-annual drought: a large-sample, multi-model study" (Trotter et al., 2023, <strong>DOI: </strong>10.1029/2021WR031845)
DOI: 10.6084/m9.figshare.21937985
title: Data File 1.xlsx

description: Axial spatial distribution of dispersion spectrum in 3-dimensions with various temperatures.
DOI: 10.6084/m9.figshare.21938000
title: Data File 6.xlsx

description: Dispersion spectrum in 3-dimensions at various positions, namely, 0 mm, 10 mm, 20 mm.
DOI: 10.6084/m9.figshare.21938003
title: Data File 7.xlsx

description: Dispersion spectrum in 3-dimensions at various positions, namely, 30 mm, 40 mm, 50 mm.
DOI: 10.5203/ds_bib_3
title: River ADV measurement and hybrid filter

description: Dataset and filter in Mathlab for processing ADV river flow data with air bubbles.
DOI: 10.5281/zenodo.7086187
title: IAA/CSIC Temperature and CO2 density profiles in Mars Year 34 retrieved from the 1st year of NOMAD/TGO solar occultation observations [dataset]

description: Dataset associated to manuscript 2022JE007278, "Martian atmospheric temperature and density profiles during the 1st year of NOMAD/TGO solar occultation measurements", submitted on Feb 28th, 2022, to Journal of Geophysical Research - Planets (AGU) for the Special Issue "ExoMars Trace Gas Orbiter: One Martian Year of Science". Format and Number of datafiles: 1 README.txt and 1 tar file containing 325 ASCII files, one for each retrieved NOMAD scan. Each of these files contains one vertical profile of 7 parameters: altitude (km), Temperature in the last iteration (K), atmospheric pressure (mb), Temperature of First Guess (K), pressure of First Guess (mb), Temperature retrieval error (K) and diagonal element fo the Averaging Kernel matrix at that tangent altitude (normalized to 0-1). Also, the header of each file contains extra info, like the NOMAD "internal" data filename, and the ranges in latitude, longitude, Local time, Solar Longitude, tangent heights observed, and Line-of-Sight shift needed to obtain a good fit, together with the number of altitudes in the retrieval vector (usually around 100 km). See README file for more details.<br>
DOI: 10.5285/46e9ff95-27ca-4d3b-b587-fc9ce22c5781
title: Surface and Meteorological Data at Medano Creek, Great Sand Dunes National Park, Colorado, USA on 15th April 2019

description: Wind and surface morphological data collected at Medano Creek on the 15th April 2019 to investigate protodune initiation.
Surface morphological data: This is terrestrial laser scanned (TLS) data collected of the creek sand surface using three different co-located Leica TLS (C10, P20 and P50). The data is raw point cloud format in text columns of x, y and z coordinate data. It has been orientation into the same local coordinate system. Each data set uses the same coordinate system. Data can be viewed in any spatial software.  Data is labelled using C10, P20 or P50, followed by the scan number.  Scan times are indicated in a separate file.
Wind data were collected from a fixed point next to the TLS instruments using a Gill 3D sonic anemometer. The data is in csv file format with column titles and can be viewed in any text or database software.
DOI: 10.6084/m9.figshare.89656
title: Stress can increase or decrease anxiety depending on the timing of the stressor

description: The purpose of these experiments was to determine the immediate and delayed effects of stress on anxiety/depressive behavior. For the open field and elevated plus maze experiments male CD1 mice (Charles River) were used (n=6-8 per group; arrived at 7 weeks of age, tested at 9-11 weeks, handled for 5 days prior to testing). The GFAP-tk mice used for the novelty-suppressed feeding test were as described in Snyder, 2011, Nature. Mice were housed 4/cage, kept on a 12 hour light/dark cycle with lights on at 6 am and were tested during the light phase. Testing was performed either directly from the home cage (controls), immediately following 30 min restraint (stress) or following 30 min restraint with a 30 min post-restraint delay interval (stress+delay). Figure 1: Increased fear/anxiety in the open field immediately following stress. a) The open field was a white plastic box (50cm x 50cm x 50cm) which was divided into outer (o), middle (m), and center (c) regions. Mice were tracked with Ethovision software (Noldus) and latency to approach the center region and time spent in the 3 regions during a 15 min test was calculated. Light intensity was approximately 150 lux. b) The presence of an object (~2 cm diameter, 3 cm tall wire metal cylinder containing a marble) in the center of the open field increased time spent in this subregion, and was therefore included in subsequent experiments (i.e. d-h; ****t-test P Figure 2: Reduced fear/anxiety in the elevated plus maze 30 min after stress. Mice were subjected to a 5 min test in the EPM under bright (~150 lux; a-g) and dark (15 lux; h-n) conditions. The EPM had two open arms and two opaque closed arms and was located in the center of the testing room. a) Stress+delay increased the amount of time spent in the open arm during the first 2.5 min of the test (bin 1; *t-test, P In sum, stress can increase anxiety immediately after termination of the stressor: stressed mice spent less time than controls in the center of the open field. Stress can also reduce anxiety at later times after termination of the stressor: stress+delay mice spent more time in the open arms of the elevated plus maze, stress+delay mice displayed more head dipping behavior in the elevated plus maze, and stress+delay mice ate sooner in the novelty- suppressed feeding test. Also, in the open field, 1/3 of mice in the control and stress groups did not approach the center until 4+ min had elapsed. In contrast, though not significantly different, there was less variability in the stress+delay mice with all approaching the center by ~2 min, consistent with the possibility that stress+delay is reducing anxiety in some of these mice.
DOI: 10.5066/p9a2r1g0
title: Water quality, habitat, sampling methods and characteristics for grass carp in Truman Reservoir Missouri, 2017-2019

description: Diploid and triploid Grass Carp (Ctenopharyngodon Idella) tagged with acoustic transmitters were observed in Truman Reservoir, Missouri from February 2017 to March 2019 to determine habitat usage in winter. Habitat parameters were measured at used and available sites to model habitat preference. In addition, tagged fish were targeted during removal attempts to determine the efficacy of using tagged Judas Grass Carp in removing wild conspecifics. This dataset includes information on tagged Grass Carp and habitats they selected as well as capture events and characteristics of the wild fish caught during these attempts.
DOI: 10.5281/zenodo.6810718
title: Seismic catalogue Campi Flegrei 1982-1984

description: This is a temporary database, an updated database will be created within the INGV database
description: Temporary database, an updated database will be created within the INGV database
DOI: 10.5441/002/edbt.2020.03
title: Efficient Continuous Multi-Query Processing over Graph Streams
DOI: 10.7303/syn51233080
title: Survey Data Dictionaries
DOI: 10.5281/zenodo.4309608
title: Mesocoms investigation of seaweed fragment degradation and skinking rates

description: This dataset provides the results of a 35 day investigation of macroalgal fragment degradation and sinking rates, that took place in late summer and autumn of 2017, in Plymouth Marine Laboratory, UK. Specimens were collected by hand, from the shore at Rame Head (50°18' 41.9″ N 4°13' 15.9″ W). Sinking rates were estimated in a stationary seawater column in the laboratory, and are provided against fragment weight for 3 species of macroalgae, at the beginning and end of incubations. Experimental conditions are described.
DOI: 10.6084/m9.figshare.20081324.v1
title: Comprehensive Database of 2020 Yellowstone riparian study.xlsx

description: This is the data base for the study: <strong>Large ungulate influences on composition and diversity of riparian plant communities in Yellowstone National Park</strong> by J Boone Kauffman et al. 2022 (In Review)
DOI: 10.6084/m9.figshare.21788192.v3
title: Latent driver discovery figure source data

description: Source files of the figure panels, each file name includes the figure number and the corresponding panel label.
DOI: 10.5281/zenodo.7613822
title: Dataset for Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation

description: This dataset is for the research article titled Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation published in Earth and Space Science.
DOI: 10.13139/olcf/1811689
title: AbacusSummit: Cosmological N-body Halos, Light Cones, Particles, Merger Trees, Initial Conditions, and Power Spectra

description: This is the primary data release of the AbacusSummit, a suite of large, high-accuracy cosmological N-body simulations. Documentation describing the suite and code, including links to refereed publications and instructions for manipulating the data contained in this release, may be found at the following URL: https://abacussummit.readthedocs.io/ The primary data products presented in this release are halo catalogs, light cones, and particle data. Several supplemental products are also presented: power spectra, initial conditions, and merger trees. Cleaned halo catalogs are also provided for the subset of simulations that were used in refereed publications at the time of this DOI. This release also contains several large scale-free and high-redshift simulations run as part of the same allocation used to produce AbacusSummit.
DOI: 10.18739/a20p0ws23
title: Vertical profiles of temperature and salinity in the Central Arctic Ocean from observations and 13 CMIP6 models - 1970-2017

description: This dataset includes spatially averaged profiles of temperature and salinity from observations (annual mean) and thirteen climate models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6, monthly mean) in four regions of the Arctic Ocean: The Eastern Eurasian Basin (EEB), the Western Eurasian Basin (WEB), the Chukchi Sea (CS), and the Beaufort Gyre (BG). The observations span the period 1970-2017, and the simulations cover the last 45 years of the historical CMIP6 experiment from 1970-2014. This dataset was produced for the publication Muilwijk et al. 2022 (citation below). The observational data is an updated version of the archive previously used by, e.g., Polyakov et al. 2020 (citation below) to investigate long-term Arctic variability and halocline stability. The dataset includes conductivity, temperature, and depth (CTD) data from various Russian, American, Canadian, and European ship and aircraft expeditions, year-round crewed drift stations, autonomous drifters, and submarine data. Salinity is provided in practical salinity units (psu), temperature as potential temperature, and depth in meters. Profiles are linearly interpolated and provided as annual averages. Be aware of some instabilities and spikes as a result from spatial averaging. Further detail on temporal and spatial coverage, data processing, and accuracy is given in the supplementary material of Polyakov et al. 2020. More information and additional data are available on request to author I.V. Polyakov. Simulated profiles are calculated from model variables “thetao” and “so” and provided on the model’s native vertical grid. The original model output that the profiles are derived from is publicly available from the Earth System Grid Federation at https://esgf-node.llnl.gov/search/cmip6/. Details on the models and references to the model description publications are given in Muilwijk et al. 2022. All data is stored in netcdf format with metadata included in the file. Polyakov, I. V., Alkire, M. B., Bluhm, B. A., Brown, K. A., Carmack, E. C., Chierici, M., ... & Wassmann, P. (2020). Borealization of the Arctic Ocean in response to anomalous advection from sub-Arctic seas. Frontiers in Marine Science, 7, 491. https://doi.org/10.3389/fmars.2020.00491 Muilwijk, M., Nummelin, A., Heuzé, C., Polyakov, I. V., Zanowski, H., & Smedsrud, L.H. (2022). Divergence in Climate Model Projections of Future Arctic Atlantification. Journal of Climate. https://doi.org/10.1175/JCLI-D-22-0349.1
DOI: 10.5281/zenodo.6383911
title: VT catalogue of Costa Rica from 2005 to 2021

description: Catalogue of the VT earthquakes recorded on Covta Rica volcanoes
DOI: 10.5281/zenodo.7327572
title: Daily-resolution pan-Arctic Radar and Laser Freeboard

description: This dataset contains daily-resolution pan-Arctic laser / radar freeboard and uncertainty estimates, created following the methodology outlined in <strong>Nab et al. (2023): "Synoptic variability in satellite altimeter-derived radar freeboard of Arctic sea ice"</strong> Please refer to this publication for a full description of the data and cite this publication when using these data. Variables: Laser / Radar Freeboard (m), Uncertainty (m), Longitude, Latitude, Day Data is available for winter seasons only, with each winter season running from 1 October - 30 April of the specified years Days where no data is available are filled with NaNs
DOI: 10.5281/zenodo.7438007
title: Data for "Convectively Transported Water Vapor Plumes in the Midlatitude Lower Stratosphere"

description: This upload contains the data used in the journal article "Convectively Transported Water Vapor Plumes in the Midlatitude Lower Stratosphere" submitted to Journal of Geophysical Research (JGR).
DOI: 10.6084/m9.figshare.19686453
title: RNA-seq Titration Results used in plotting for "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously"

description: This data accompanies the manuscript "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously" by Foltz, Taroni, and Greene (https://doi.org/10.1038/s42003-023-04588-6). Please refer to our github page. The file contains all data necessary to recreate the main and supplementary figures in our manuscript. Abstract: Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, the majority of available RNA assays were run on microarray, while RNA-seq is now the platform of choice for many new experiments. The data structure and distributions between the platforms differ, making it challenging to combine them directly. Here we perform supervised and unsupervised machine learning evaluations to assess which existing normalization methods are best suited for combining microarray and RNA-seq data. We find that quantile and Training Distribution Matching normalization allow for supervised and unsupervised model training on microarray and RNA-seq data simultaneously. Nonparanormal normalization and z-scores are also appropriate for some applications, including pathway analysis with Pathway-Level Information Extractor (PLIER). We demonstrate that it is possible to perform effective cross-platform normalization using existing methods to combine microarray and RNA-seq data for machine learning applications.
DOI: 10.17632/szcnv256dg.2
title: Household Survey dataset for Vulnerability and Capacity assessment of Bhubaneswar to Fani Cyclone impact.

description: This is household survey data of Central Bhubaneswar city done from 20th - 27th May 2019 to analyze the vulnerability and capacity of the central city area to Fani Cyclone. More details can be found in the publication below: Neha Kawyitri, Ankit Shekhar (2020). Assessing vulnerability and capacity of Bhubaneswar as a progressive smart-city: An empirical case study of Fani Cyclone impact on the city. International Journal of Disaster Risk Reduction (https://doi.org/10.1016/j.ijdrr.2020.101986).
DOI: 10.5281/zenodo.4075009
title: Dr.

description: This dataset inlcudes all original data produced and used in the accepted paper of Wu et al. entitled '<strong>Evaluating Zr/Rb ratio from XRF scanning as an indicator of grain-size variations of glaciomarine sediments in the Southern Ocean</strong>'.
DOI: 10.6073/pasta/34c976b6957828bcfe420b2aadefee64
title: Plant Carbon and Nitrogen Content at the Kellogg Biological Station, Hickory Corners, MI (1989 to 2018)

description: Dataset Abstract This dataset includes total carbon and total nitrogen measured for plants from the LTER Main Site and the Successional and Forested sites. Total C and N are analyzed at peak biomass for a given treatment. In some systems with multiple harvests or complex communities that have peaks occurring at different times of the year, measurements are taken at multiple times per year. Samples are combusted and measured on a CHN analyzer. original data source http://lter.kbs.msu.edu/datasets/32
DOI: 10.6084/m9.figshare.21738005.v2
title: Data for the JGR paper: Dynamics of dual-mode bedload transport with three-dimensional bedform migration in subcritical flow: Experiments and model analysis

description: Data of "dynamics of dual-mode bedload transport with three-dimensional bedform migration in subcritical flow: Experiments and model analysis", JGR-Earth Surface
DOI: 10.5291/ill-data.5-24-657
title: In-situ study of hydrogenation dynamics and structure development in LaFeSiD_x using thermograviometry and neutron diffraction.
DOI: 10.7799/1819907
title: Life Cycle Emissions Factors for Electricity Generation Technologies

description: This dataset consists of a table containing the distribution of literature estimates of greenhouse gas emissions for the following electricity generation and storage technologies: biopower, coal, concentrating solar power, geothermal, hydrogen storage, hydropower, lithium-ion battery storage, natural gas, nuclear, ocean, oil, photovoltaic, pumped-storage hydropower, and wind. Quartile estimates of life cycle emissions factors in units of grams of carbon dioxide equivalent per kilowatt hour of generation (g CO2e/kWh) are provided for the following life cycle stages: one-time upstream, ongoing combustion, ongoing non-combustion, one-time downstream, and total. Literature estimates were compiled by the LCA Harmonization study and subsequent updates, as detailed in the factsheet which accompanies this dataset, https://www.nrel.gov/docs/fy21osti/80580.pdf.
DOI: 10.15139/s3/qqjxge
title: Guide to Developing a Vision Zero Plan (2020).

description: The United States crash death rate is more than twice the average of many other high-income countries. Pedestrians and bicyclists are especially vulnerable in road traffic crashes and, as a group in the United States, have experienced increases in traffic-related deaths in the past several years. Based on the promising results from other countries, Vision Zero implementation began in selected municipalities in the United States in 2014 to address the disparity in transportation-related fatalities. Vision Zero sets a goal to eliminate all traffic-related deaths and serious injuries while increasing safe, healthy, and equitable mobility for all. A Vision Zero Plan is a public document that provides the vision for future efforts to eliminate traffic fatalities and serious injuries. Creating a Vision Zero Plan requires advanced planning, collaboration, and community engagement. It also requires an understanding of the serious crashes and risks in the community. This Guide was developed to assist communities in the creation and updating of their Vision Zero Plans. Employing the recommendations and resources in this Guide can directly and positively impact the creation of new Vision Zero Plans and assist municipalities as they update existing Vision Zero Plans. It is reasonable to expect that higher quality plans will create more positive impacts on crash fatalities and injuries. The ultimate purpose of this Guide is to reach and sustain the goals of Vision Zero more quickly through the planning process.
DOI: 10.6084/m9.figshare.20375880
title: BrineExperiments2022_Supplementary Material

description: Find here: - the data table of the physical parameters used for calculations in the paper (sand temperature, pressure, air temperature, relative humidity), gathering all the experiments; - 4 videos illustrating the different types of experiments we performed; <br> And for each experiment: - the DTM of difference; - the units outline.
DOI: 10.6084/m9.figshare.19735501
title: Genomic profiling of dioecious Amaranthus species provides novel insights into species relatedness and sex genes

description: This project aims to use comparative genomics via profiling of unassembled short reads to understand the conservation of sex determining genes in dioecious amaranths and also to explore the relationship between the dioecious species. Files shared on Figshare include RepeatExplorer2 annotations, nonredundant TE libraries for repeat analyses in previously assembled genomes of <em>Amaranthus</em> species, raw tree file (.dnd) for Fig. 2 and R codes used in the manuscript plots.
DOI: 10.17632/5p5sv8hshj.3
title: Dataset for a Dynamic Multi-Period Vehicle Routing Problem

description: This dataset involves the normal distribution parameters, calculated using used to create simulation instances for the experimental study of the paper "Dynamic Multi-Period Vehicle Routing with Touting". These distributions are used to generate random demand on each planning day. The dataset also includes 3-months historical collections data for a waste collection company, which are used to compare the heuristic solutions with the ones obtained by an exact solver. There are two sets of customers, belonging to two drivers, who cover different geographical areas. The information for two drivers are stored in separate excel files and each file has 2 sheets, as explained below: In "Orders" sheet, The historical collections information is presented. The amount of demand is given in Column A, while the day the demand is generated is provided in Column C. Column B has an index value for each customer, indicating its location. The depot has the index of "1". In "Customer Information" sheet, The list of customers is presented in Column A. They are named starting from C1. Columns B and C present the mean and variance values of the customers' demand distributions. Column D provides the index value for each customer, indicating its location. Finally, Column E presents the tank capacity values for the customers. In "Distance-Time Matrices" sheet, The distance (in Column C) and travel time (in Column D) values for each pair of nodes are presented. Distances and travel times are given in kilometres and minutes, respectively. "from" and "to" entries are associated with the index values of the customers. For example, to find the distance and travel time from C1 to C2 for Driver 1, one needs to look at the values from index 167 to index 168, which corresponds to a 28.7 kilometres of distance and 21.45 minutes of travel time. Driver 1 and 2 have 142 and 125 unique customers, respectively. However, the historical data includes total of 273 and 260 customers for Driver 1 and Driver 2, respectively, which means that some customers have multiple orders within that 3-month period. Finally, the problem parameters, such as vehicle capacity and time limits are provided in the file "Problem Parameters.txt".