cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18434/t4/1502528
title: NIST Reference Fluid Thermodynamic and Transport Properties Database (REFPROP)
            Version 10 - SRD 23

description: REFPROP is an acronym for REFerence fluid PROPerties. This program, developed
            by the National Institute of Standards and Technology (NIST), calculates the
            thermodynamic and transport properties of industrially important fluids and their
            mixtures. These properties can be displayed in Tables and Plots through the graphical
            user interface; they are also accessible through spreadsheets or user-written
            applications accessing the REFPROP dll. REFPROP is based on the most accurate pure fluid
            and mixture models currently available. It implements three models for the thermodynamic
            properties of pure fluids: equations of state explicit in Helmholtz energy, the modified
            Benedict-Webb-Rubin equation of state, and an extended corresponding states (ECS) model.
            Mixture calculations employ a model that applies mixing rules to the Helmholtz energy of
            the mixture components; it uses a departure function to account for the departure from
            ideal mixing. Viscosity and thermal conductivity are modeled with either fluid-specific
            correlations, an ECS method, or in some cases the friction theory method.
DOI: 10.18434/t4nc7p
title: Stopping-Powers and Range Tables for Electrons, Protons, and Helium
            Ions, NIST Standard Reference Database 124
DOI: 10.24381/cds.adbb2d47
title: ERA5 hourly data on single levels from 1940 to present
DOI: 10.26193/ibl7pz
title: The Australian Rental Housing Conditions Dataset

description: Rental is Australia’s emerging tenure. Each year the proportion of Australians who rent increases, many of us will rent for life, and for the first time in generations there are now more renters than home owners.&lt;br&gt;
&lt;br&gt;
Though the rental sector is home to almost one-third of all Australians, researchers and policy-makers know little about conditions in this growing market because there is currently no systematic or reliable data. This project provides researchers and policy stakeholders with an essential database on Australia’s rental housing conditions.&lt;br&gt;
&lt;br&gt;
This data infrastructure will provide the knowledge base for national and international research and allow better urban, economic and social policy development. Building on The 2016 Australian Housing Conditions Dataset, in 2020 we collected data on the housing conditions of 15,000 rental households, covering all Australian states and territories.&lt;br&gt;
&lt;br&gt;
The project is funded by the Australian Research Council and The University of Adelaide, in partnership with the University of South Australia, the University of Melbourne, Swinburne University of Technology, Curtin University and Western Sydney University and is led by Professor Emma Baker at the University of Adelaide. The Australian Housing and Urban Research Institute provided funding for the focussed COVID-19 Module.
description: Australian Housing Condition Data Infrastructure
description: SPSS, 25.0
description: STATA, 15.0
description: SAS, 9.4
DOI: 10.5066/f7fb5146
title: L8 SPARCS Cloud Validation Masks

description: This dataset was originally created by M. Joseph Hughes, Oregon State University, and was derived manually from Landsat Operational Land Imager (OLI) scenes. Its purpose was to validate cloud and cloud shadow masking derived from the Spatial Procedures for Automated Removal of Cloud and Shadow (SPARCS) algorithm. Each product is provided as a thematic raster, and includes the classes of �cloud�, �cloud shadow�, �snow/ice�, �water�, and �flooded�. While these validation images were subjectively digitized by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is a 1000 pixel by 1000 pixel subset of an original Landsat Level-1 scene. The mask and accompanying color composite preview image are provided in PNG image format, and includes all bands from the original Landsat Level-1 data (GeoTIFF band-interleaved by pixel (BIP)), Landsat Level-1 quality band (GeoTIFF), and its associated Level-1 metadata (MTL.txt file).
DOI: 10.5281/zenodo.10849223
title: Simulation data for the manuscript "Characterizing Optimal Signal Propagation in the Human Brain Network."

description: See https://github.com/kuffmode/OI-and-CMs
DOI: 10.5281/zenodo.14011808
title: VLF wideband data and fluxgate magnetometer data from Dunedin, 11 May 2024

description: This archive has two files. Both are text files. Hires_HWB_UWB20240511.txt is a very low frequency wideband dataset taken from Otago University's aerial system located in the Halfway Bush district, Dunedin, NZ, on 11 May 2024. The data are FFT amplitudes for 1025 bin widths of ~23 Hz, covering the range from 0 to 24000 Hz. The time resolution is 4 s, and the file lasts a day. Swa20240511 is a fluxgate magnetometer data file from the Otago Univeristy Swampoy Summit sObservatory, Dunedin, on 11 May 2024 with time and 3 components Bx,By, Bz. The time resolution is 1 s, and the file lasts a day.
DOI: 10.5281/zenodo.3067849
title: Consensus Structural and functional connectome from 70 young healthy adults

description: Consensus Structural and functional connectome from 70 young healthy adults.
description: {"references": ["Golia Shafiei, Ross D. Markello, Alexandra Talpalaru, Carolina Makowski, Matthias Kirschner, Gabriel A. Devenyi, Patric Hagmann, Neil R. Cashman, Martin Lepage, M. Mallar Chakravarty, Alain Dagher, Bratislav Mi\u0161i\u0107. (2019). Spatial patterning of tissue volume deformation in schizophrenia reflects brain network architecture. bioRxiv 626168; doi: https://doi.org/10.1101/626168"]}
DOI: 10.5683/sp2/e8h2mf
title: Toronto emotional speech set (TESS)

description: These stimuli were modeled on the Northwestern University Auditory Test No. 6 (NU-6; Tillman & Carhart, 1966). A set of 200 target words were spoken in the carrier phrase "Say the word _____' by two actresses (aged 26 and 64 years) and recordings were made of the set portraying each of seven emotions (anger, disgust, fear, happiness, pleasant surprise, sadness, and neutral). There are 2800 stimuli in total. Two actresses were recruited from the Toronto area. Both actresses speak English as their first language, are university educated, and have musical training. Audiometric testing indicated that both actresses have thresholds within the normal range.
DOI: 10.57707/fmi-b2share.d1b034eb72924fc2a7be0bd0ffe1ebe3
title: WACCM simulation data (KP0-KP5) in the Southern hemisphere for the manuscript "Atmospheric Nitrogen Oxide response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation" by T. Häkkilä et. al.
title: Draft created from published record: 261c47d5-05a9-4bd8-9cc5-5eece1786969

description: WACCM-D simulation data for middle atmosphere response to auroral electron forcing, as used in the manuscript "Atmospheric Nitrogen Oxide response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation" by T. Häkkilä et. al. Data for the simulations KP0-KP5 in the Southern hemisphere, performed with the standard WACCM auroral electron forcing for Kp-indices 0-5.

Files are separated to zip-files of mixing ratios (NOX, O3) and ionisation rates (ipr). Mixing ratios of NOX and O3 are provided for the simulations KP0-KP3, ipr for simulations KP0-KP5.Within each zip-file are nc-files for six simulations, with different auroral electron forcings.
DOI: 10.57707/fmi-b2share.f5adbf0738724045803a117f8b00f016
title: WACCM simulation data (VLAS, REF) for the manuscript "Atmospheric Nitrogen Oxide response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation" by T. Häkkilä et. al.
title: Draft created from published record: 261c47d5-05a9-4bd8-9cc5-5eece1786969

description: WACCM-D simulation data for middle atmosphere response to auroral electron forcing, as used in the manuscript "Atmospheric Nitrogen Oxide response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation" by T. Häkkilä et. al. Data for the VLAS and REF simulations in the Southern hemisphere (SH) and Northern hemisphere (NH). VLAS simulation performed with eVlasiator-derived auroral electron forcing; REF simulation performed with no auroral electron forcing.

Files are separated to zip-files of mixing ratios (NOX, O3) for VLAS and REF and VLAS ionisation rates (ipr).
DOI: 10.6084/m9.figshare.25836550.v5
title: Structure of SAA for C-H dissociation from DFT

description: This collection on Figshare contains the CONTCAR files for over 600 different single-atom alloy (SAA) surfaces, derived from density functional theory (DFT) calculations. These files represent the optimized geometries of various SAA surfaces, crucial for studying C-H bond dissociation energy barriers. Each file corresponds to a specific SAA composition, providing the atomic coordinates and lattice parameters that define the optimized structure of the surface under study. This dataset is fundamental for researchers looking to understand the surface properties and catalytic behaviors of SAAs, offering a robust basis for further computational studies and machine learning model training in catalysis and materials science.
DOI: 10.6084/m9.figshare.26200007
title: Single-Atom Alloy Dataset for Machine Learning

description: OverviewThis dataset, contained within <code>Database.csv</code>, is a comprehensive collection tailored for machine learning applications in the field of catalysis and materials science, focusing on single-atom alloys. It encompasses a wide array of data with 10,950 entries, each featuring 85 intrinsic descriptors alongside novel information on the predicted C-H dissociation energy barriers and reaction rates. These intrinsic descriptors include a variety of element and surface properties extracted from renowned databases like the Materials Project and Pymatgen, as well as surface structural features and characteristics derived through expert knowledge.Intrinsic DescriptorsThe 85 intrinsic descriptors provided in this dataset offer a detailed insight into the properties of single-atom alloys. These descriptors cover:<b>Element Properties:</b> Extracted from the Materials Project and Pymatgen databases, these properties include atomic size, electronegativity, and other elemental characteristics critical for the study of material properties.<b>Surface Properties:</b> Features related to the surface characteristics of the alloys, which play a significant role in their catalytic behavior and interaction with reactants.<b>Surface Structural Features:</b> Detailed information on the structural aspects of the alloy surfaces, which can influence the material's catalytic activity and stability.<b>Expert-Derived Features:</b> A set of features developed through expert knowledge, combining various data points to form comprehensive descriptors for machine learning applications.Predicted Properties<b>C-H Dissociation Energy Barrier:</b> A key metric for evaluating the catalytic efficiency of single-atom alloys, particularly in processes involving hydrocarbons.<b>Reaction Rates:</b> Provides valuable insights into the kinetics of reactions facilitated by single-atom alloys, crucial for the development and optimization of catalytic processes.
DOI: 10.6084/m9.figshare.27645831
title: DFT dataset with descriptors utilized in training

description: The DFT dataset utilized as training set contains 623 energy barrier data for C-H dissociation. A comprehensive sampling in transition metals is conducted and several metals’ surfaces are selected as the substrates.
DOI: 10.6084/m9.figshare.28293062
title: <b>Cholesterol taste avoidance in </b><b><i>Drosophila melanogaster</i></b>

description: The question as to whether animals taste cholesterol taste is not resolved. This study investigates whether the fruit fly, <i>Drosophila melanogaster</i>, is capable of detecting cholesterol through their gustatory system. We found that flies are indifferent to low levels of cholesterol and avoid higher levels. The avoidance is mediated by gustatory receptor neurons (GRNs), demonstrating that flies can taste cholesterol. The cholesterol responsive GRNs comprise a subset that also respond to bitter substances. Cholesterol detection depends on five ionotropic receptor (IR) family members, and disrupting any of these genes impairs the flies' ability to avoid cholesterol. Ectopic expressions of these IRs in GRNs reveals two classes of cholesterol receptors, each with three shared IRs and one unique subunit. Additionally, expressing cholesterol receptors in sugar-responsive GRNs confers attraction to cholesterol. This study reveals that flies can taste cholesterol, and that the detection depends on IRs in GRNs.
DOI: 10.7289/v5pn93h7
title: Global Historical Tsunami Database
DOI: 10.13099/vip21000-04-1
title: Tissue Properties Database V4.1

description: Log file of changes
description: References
description: Density, Heat Capacity, Thermal Conductivity, Heat Transfer, T1/T2 Relaxation Times, Acoustic Attenuation, Viscosity, Dielectric Properties, Elemental Composition
DOI: 10.15138/jyp5-0335
title: NOAA Greenhouse Gas Marine Boundary Layer Reference - SF6.
DOI: 10.15156/bio/sh1260357.09fu
title: SH1260357.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.1594/pangaea.969451
title: Age and smoothed natural gamma ray (NGR) data from core GLAD6 BOS04 5B

description: This dataset has been used in the framework of the REFINE project aiming to establish an age-depth model for Lake Bosumtwi (West Africa, Ghana) that bases on a combination of cyclostratigraphy and correlation analyses. For this the original NGR data obtained during the project for core GLAD6 BOS04 5B (also available at PANGAEA) have been smoothed using a 35 point mean and were correlated to Iberian Margin Sea Surface Temperatures (the tiepoints are also available at PANGAEA). This file contains the smoothed NGR data (and depths) and the correlative ages (linear interpolation between tiepoints). All original core data (GLAD6 BOS04 5B) have been retrieved in a ~4 cm resolution by the Continental Scientific Drilling Facility at the University of Minnesota, USA using a Geotek MSCL-S multisensor core logger equipped with a 3-inch diameter NaI(Tl) detector housed in a 6-inch diameter lead shield. Data are reported as total counts, integrating all emission counts over the gamma ray energy range between 0 and 3 MeV. For these measurements the archive core half has been used. Measurement uncertainties range between 5 and 10%. .
DOI: 10.1594/pangaea.972139
title: Biologically weighted daily radiant exposure for erythema appearance, previtamin D3 synthesis and clearing of psoriatic lesions from erythema biometers at Belsk, Poland, for the period 1976-2023

description: Long-term measurements of surface UV intensity that have undergone quality control procedures are very limited. The database presented here contains selected biologically weighted daily radiation exposures (for the erythema appearance, previtamin D3 synthesis, and clearing of psoriatic lesions) based on monitoring of erythema irradiance in the Central Geophysical Laboratory of the Institute of Geophysics of the Polish Academy of Sciences, Belsk (20.79°E, 51.84°N, 188 m amsl) from January 01, 1976 to December 31, 2023. The following broadband instruments were involved in continuous measurements of the erythemal irradiance: Robertson-Berger (1975-1992 after correction for temperature effects), Solar Light model 501 (1993-1994 with No. 927, 1995-2013 with No. 2011) and Kipp-Zonen UV-AE-T No. 30616 (KZ) from September 2013 to the present. The homogenization procedure applied to the pre-September 2013 data consisted of a comparison of the measured daily erythemal radiant exposure (RE) during sunny days with the corresponding hypothetical daily erythemal RE calculated by the tropospheric ultraviolet and visible radiation (TUV) model (https://www2.acom.ucar.edu/modeling/tuv-download). Subsequently, a comparison of the daily erythemal RE measured by KZ and the collocated Brewer Mark II spectrophotometer No. 64 during cloudless days provided the calibration of the biometer measurements. Using the corrected data, a regression model of the daily erythemal RE was built (separately for the years 1976-1992, 1993-2013 and 2014-2023) using the following explanatory variables: total column ozone content from the collocated Dobson spectrophotometer No.84, solar zenith angle at the noon, and the clearness index from measurements of total solar radiation (300-3000 nm) with collocated pyranometers. If there was a large difference (exceeding the 2-sigma level) between the measured daily RE value and the value obtained from the regression model, the data was flagged as data of uncertain quality. Transfer coefficients from daily erythemal RE to other biologically weighted daily RE, based on the methodology of Czerwińska and Krzyścin (2024), were used to calculate other biologically weighted daily RE, for previtamin D3 synthesis and clearing of psoriatic lesions.
DOI: 10.17909/njj7-v638
title: From Misaligned Sub-Saturns to Aligned Brown Dwarfs: The Highest Planet-star Mass Ratio Systems Exhibit Low Obliquities, Even around Hot Stars

description: TESS 120 s data for XO-3
DOI: 10.17909/q8cd-2q22
title: Morishita et al. 2023, JWST size mass relation
DOI: 10.18128/d010.v15.0
title: IPUMS USA: Version 15.0

description: IPUMS USA contains harmonized census and American Community Survey (ACS) data from 1790 to the present. For the period 1850 to 1940, IPUMS includes 100% of individuals in the decennial censuses. For the period 1950 to 2010, we have public use samples of decennial censuses. For the period since 2000, IPUMS provides annual ACS public use samples. The available information in the censuses and ACS varies by year, but generally includes basic housing data (type of housing, household appliances, and housing characteristics), demographic data (age, race, sex, marital status, and relationship to the head of household), economic data (occupation, industry, income, work status), and other individual characteristics (migration, disability, veteran status). For the period 1790 to 1840, IPUMS includes household level records for 100% of households. IPUMS USA is available through an online data access system free of charge to registered users at usa.ipums.org.
DOI: 10.18128/d014.v4.0
title: IPUMS Ancestry Full Count Data: Version 4.0

description: IPUMS USA makes freely available to researchers worldwide full count U.S. Census microdata through 1950. This dataset includes over 780 million individual-level (1850-1950) and 7.5 million household-level records (1790-1840). The microdata represents the fruition of longstanding collaborations between IPUMS and the nation's two largest genealogical organizations —Ancestry.com and FamilySearch— to leverage genealogical data for scientific purposes. This microdata collection is possible due to the donations of an unprecedented scale of digitized census data by both Ancestry.com and FamilySearch. Person-level microdata are available from 1850-1950. Complete count data for 1790-1840 are available at the household-level. In contrast to the 1850-1950 U.S. censuses, the 1790-1840 historical censuses named only the head of the household and tallied household totals attached to that record. IPUMS is continually improving the quality of these datasets by removing duplicate records, improving identification of household groups, applying numeric codes to the transcribed responses, etc. These improvements to the underlying data are periodically released via IPUMS USA. Updates since Version 3.0 include improvements to data from 1850-1880 released in October 2023, and the preliminary release of the 1950 data in January 2024 (see more at https://usa.ipums.org/usa/full_count.shtm ). The variable VERSIONHIST identifies the public-release version of a dataset. Researchers can merge data between versions of the dataset using HISTID to link individual cases across versions, capturing any updates, corrections, or improvements that may have been applied to the data. All data are coded and can be downloaded via the IPUMS USA extract system. Restricted versions of these datasets are also available.
DOI: 10.18434/m32200
title: Multi-spectrum Analysis Tool for Spectroscopy (MATS)

description: The purpose of the MATS project is to develop a NIST-based multi-spectrum fitting tool for spectroscopic data that allows the flexibility to test and adapt to experimental/data-driven needs. This software allows for the use of several commonly used spectroscopic line profiles (Voigt, Nelkin-Ghatak, speed-dependent Voigt, speed-dependent Nelkin-Ghatak, and Hartmann-Tran) and allows for pressure, temperature, and composition constraints to be imposed on solutions. In addition to fitting experimental spectra, MATS can generate simulated spectra, which allows for its use as an error analysis tool. The tool uses existing python applications such as the HITRAN Application Programming Interface (HAPI) and LMFit as the engine for spectral fitting.
DOI: 10.18434/t4t88k
title: NIST X-ray Photoelectron Spectroscopy Database - SRD 20
DOI: 10.18434/t4w30f
title: NIST Atomic Spectra Database, NIST Standard Reference Database 78
title: NIST ASD
DOI: 10.21227/mpb6-py55
title: X-IIoTID: A Connectivity- and Device-agnostic Intrusion Dataset for Industrial Internet of Things

description: Industrial Internet of Things (IIoTs) are high-value cyber targets due to the nature of the devices and connectivity protocols they deploy. They are easy to compromise and, as they are connected on a large scale with high-value data content, the compromise of any single device can extend to the whole system and disrupt critical functions. There are various security solutions that detect and mitigate intrusions. However, as they lack the capability to deal with an IIoT's co-existing heterogeneity and interoperability, developing new universal security solutions to fit its requirements is critical. This is challenging due to the scarcity of accurate data about IIoT systems' activities, connectivities and attack behaviors. In addition, owing to their multi-platform connectivity protocols and multi-vendor devices, collecting and creating such data is also challenging. To tackle these issues, we propose a holistic approach for generating an appropriate intrusion dataset for an IIoT called X-IIoTID, connectivity- and device-agnostic intrusion dataset for fitting the heterogeneity and interoperability of IIoT systems. It includes the behaviors of new IIoT connectivity protocols, activities of recent devices, diverse attack types and scenarios, and various attack protocols. It defines an attack taxonomy and consists of multi-view features, such as network traffic, host resources, logs and alerts. X-IIoTID is evaluated using popular machine and deep learning algorithms and compared with eighteen intrusion datasets to verify its novelty.
DOI: 10.21951/eha_fy2022/1865282
title: Existing Hydropower Assets Plant Dataset FY22