cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7647786
title: Corrections for Geostationary Cloud Liquid Water Path Using Microwave Imagery

description: Netcdf files containing a set of correctional factors for GOES-16 and GOES-17 cloud liquid-water path (LWP). The correctional factors for both satellites are fractional corrections of microwave imager LWP divided by GOES-16/17 LWP at a given solar zenith, GOES sensor zenith, relative azimuth (solar - sensor zenith), and low-cloud fraction. Uncorrected GOES-16/17 LWP is derived from GOES retrieved cloud-optical thickness and cloud-top effective radius, and it is multiplied by the corresponding correctional factor (i.e. the bins which the uncorrected values are in).
DOI: 10.6073/pasta/3bd6a1d2d9487546f32d46d2943c6e43
title: High-frequency dissolved organic carbon and nitrate from the Trevor Creek outlet near Toolik Field Station, Alaska, summer 2017-2019

description: Data file describing high frequency (every ~10 minutes), optial sensor-derived chemistry of river water from Trevor Creek near Toolik Field Station, North Slope of Alaska. Data file includes date, time, dissolved organic carbon (DOC) concentration, and nitrate concentration. Sensors (V2 s::can uv-vis spectrophotometers) were continuously deployed from June through August or September and optically determined nitrate and dissolved organic carbon concentrations.
DOI: 10.6073/pasta/5d63c098887205597ce0df929467168c
title: High-frequency dissolved organic carbon and nitrate from the Oksrukuyik Creek outlet near Toolik Field Station,Alaska, summer 2017-2019

description: Data file describing high frequency (every ~10 minutes), optial sensor-derived chemistry of river water from Oksukuyik Creek near Toolik Field Station, North Slope of Alaska. Data file includes date, time, dissolved organic carbon (DOC) concentration, and nitrate concentration. Sensors (V2 s::can uv-vis spectrophotometers) were continuously deployed from June through August or September and optically determined nitrate and dissolved organic carbon concentrations.
DOI: 10.6073/pasta/990958760c13cdd55b574c5202dc19b7
title: High-frequency dissolved organic carbon and nitrate from the Kuparuk River outlet near Toolik Field Station, Alaska, summer 2017-2019

description: Data file describing high frequency (approximately every 10 minutes), optial sensor-derived chemistry of river water from the Kuparuk River near Toolik Field Station, North Slope of Alaska. Data file includes date, time, dissolved organic carbon (DOC) concentration, and nitrate concentration. Sensors (V2 s::can uv-vis spectrophotometers) were continuously deployed from June through August or September and optically determined nitrate and dissolved organic carbon concentrations.
DOI: 10.17632/f66zx5bjnp.2
title: Restoration and Transformation: The Response of Shocked and Oxidized Magnetite to Temperature

description: The data used for the study "Restoration and Transformation: The Response of Shocked and Oxidized Magnetite to Temperature" consists of hysteresis, direct current demagnetization (DCD) and first order reversal curves (FORC) measured in sequence and in single “.vres” data files for each temperature step of each sample. We have processed these raw data files and provided all processed data and raw data necessary for reproduction of our results. All files, as well as extra diagrams are available under the name of “supplemental files” as referred to in the text.
DOI: 10.25318/2510002801-eng
title: Electricity generated from fossil fuels, annual

description: Data presented at the national and provincial levels by source (utilities, etc.) and fuel type (coal, natural gas, diesel and light fuel oil, etc.). Not all combinations are available.
DOI: 10.25318/3210041301-eng
title: Irrigation, Census of Agriculture, inactive

description: Census of Agriculture, 2011 and 2016. Land irrigated in the year prior to the census.
DOI: 10.25318/3610040201-eng
title: Gross domestic product (GDP) at basic prices, by industry, provinces and territories

description: Annual Provincial and Territorial Gross Domestic Product (GDP) at basic prices, by North American Industry Classification aggregates, in chained (2012) and current dollars (dollars x 1,000,000).
DOI: 10.25318/3810004101-eng
title: Water intake in manufacturing industries, by source and by provinces, territories and drainage regions

description: Volume of water intake for the manufacturing industries, by water source, for Canada, provinces, territories or drainage regions. The unit of measure is millions of cubic metres.
DOI: 10.25318/3810006701-eng
title: Water use parameters in mineral extraction and thermal-electric power generation industries, by region

description: Volume of water used by the mineral extraction and thermal-electric power generation industries, by water use parameter, for Canada and regions. The unit of measure is millions of cubic metres.
DOI: 10.25318/3810011801-eng
title: Actifs en ressources naturelles et actifs produits

description: Water use by industries and households (cubic metres x 1,000).
DOI: 10.25318/3810023901-eng
title: Irrigation volume by province and drainage region

description: Irrigation volume by month, province and drainage region. The unit of measure is cubic metres.
DOI: 10.25318/3810025001-eng
title: Physical flow account for water use

description: This table contains 92 series, with data starting from 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Sector (92 items: Total, industries and households; Total, industries; Crop production; Animal production; ...).
DOI: 10.25318/3810027101-eng
title: Potable water use by sector and average daily use

description: Potable water use by sector and average daily use for Canada, provinces and territories.
DOI: 10.25318/3810027401-eng
title: Households and the environment survey, dwelling's main source of water

description: This table shows the main source of water for Canadian households, whether the household had had their water tested by a laboratory in the twelve months preceding interview and whether a problem had been found. The unit of measure is percent. The table is biennial.
DOI: 10.25910/xhke-qx18
title: Quarterly data for examining water market functionality in the sMDB
DOI: 10.5281/zenodo.10400863
title: Tectonic tremors in Taiwan

description: Supporting Information for "Spatiotemporal characteristics of tectonic tremors in a collisional orogen of Taiwan" by Satoshi Ide and Kate Huihsuan Chen, submitted to Geophysical Research Letters.

Table S1. Tectonic tremors determined in this study. Each column shows year, month, day, hour, minutes, seconds, latitude (degree), longitude (degree), depth (km), Me, duration (s), latitude error (km), longitude error (km), depth error (km), # of pairs.
DOI: 10.5281/zenodo.10453068
title: Lake Mendocino EFO model - Synthetic Forecasts dataset: January 2, 2024 release

description: Contains input data required to run EFO model at GitHub repo: https://github.com/zpb4/LkMendoEfoSynWrr

Dataset support WRR manuscript 'Synthetic forecast ensembles for evaluating Forecast Informed Reservoir Operations' with final submission date of January 2, 2024.

Note: For the associated EFO code to work as configured in the GitHub url above., create a 'syn_hefs', 'syn_gefs', and 'syn_hefs_prehcst' subdirectory in the 'inp' directory in the EFO model after pulling the model.  For the 'syn_hefs' and 'syn_hefs_prehcst', the user must download the samples in 10 sample chunks (full 100 sample chunk would not upload) from the appropriately labeled .zip files and deposit the individual .npz in their respective 'syn_hefs' or 'syn_hefs_prehcst' directory.
DOI: 10.5281/zenodo.6365242
title: The scale of a Martian hydrothermal system explored using combined neutron and X-ray tomography

description: Neutron and X-ray tomography data of MIL 03346,230 and MIL 03346,231 Neutron data was acquired at the Institut Laue-Langevin, https://doi.ill.fr/10.5291/ILL-DATA.UGA-480 79 X-ray data was acquired at the 4D Imaging Lab at Lund University, Sweden
DOI: 10.5281/zenodo.8072817
title: data collection for machine learning using eddy force function data

description: Data for "On the choice of training data for machine learning of geostrophic mesoscale turbulence". Contains qgm2 code (from James Maddison, University of Edinburgh) for generating the data codes to process data from qgm2 for machine learning, and train convolutional neural networks to use the data sample data processed data to reproduce plots in the paper Files collected in different zip files to avoid the need to download the whole pack in one go. See readme for data/folder structure.
description: Financial support from HK RGC General Research Fund 16304021 as well as the Center for Ocean Research in Hong Kong and Macau.
DOI: 10.5281/zenodo.8131061
title: The effect of normal stress oscillations on fault slip behavior near the stability transition from stable to unstable motion

description: Tectonic fault zones are subject to normal stress variations with a wide range of spatio-temporal scales. Stress perturbations cover a wide range of frequencies and amplitudes from high frequency seismic waves generated by earthquakes to low frequency transients associated with solid Earth tides. These perturbations can reactivate critically stressed faults and trigger earthquakes. Here, we describe lab experiments to illuminate the physics of such changes in friction and the mechanics of earthquake triggering and fault reactivation. Friction tests were done in a double direct shear configuration for conditions near the stability transition from stable to unstable motion. We studied simulated fault gouge composed of quartz powder and conducted experiments at reference normal stress from 10 to 13.5 MPa. After shearing to steady state sliding, we applied sinusoidal normal stress oscillations of amplitude 0.5 to 2 MPa, and period of 0.5 to 50 s. We performed numerical simulations using measured values of rate/state friction (RSF) parameters to assess our data. Our results show that low frequency stress oscillations cause a Coulomb-like response of shear strength that transitions from stable slip to slow lab earthquakes as frequency increases. At the critical frequency predicted by RSF we observe periodic stick-slip behavior. Perturbations of high amplitude and short period weaken the fault, while lower amplitudes strengthen the fault. We find that a modified RSF formulation is able to accurately match our laboratory data. Our findings highlight the complex effects of stress perturbations for fault strength and the mode of fault slip. The data are uploaded are structured as follow: 1) For each experiment a .txt file of the datafile that is recorded from the machine (raw data) and a binary file containing the elaborated data (data_rp) 2) The folder codes_results.zip contain the codes of the data analysis and the related results The data are analyzed using rawPy that can be found at https://github.com/marcoscuderi/rawPy For any additional information please do not hesitate to contact the corresponding author Federico Pignalberi at federico.pignalberi@uniroma1.it
DOI: 10.5281/zenodo.8223863
title: Hardware-biased quantum random numbers

description: Bitstring from a hardware-biased quantum random number generator. The data is used in the numerical experiments for the publication "On the effects of biased quantum random numbers on the initialization of artificial neural networks" (arXiv:2108.13329).
DOI: 10.5281/zenodo.8283059
title: Dataset for  the paper  "The magnetopause deformation indicated by fast cold ion motion"

description: This dataset is used for the paper "The magnetopause deformation indicated by fast cold ion motion" and contains pubilicly available data of MMS dayside magnetopause crossing events with fast cold ion motion from 2015 to 2021, which includes crossing time and position, solar wind parameters (dynamic pressure, IMF, solar wind speed) and data source, the normals from the model (Shue et al., 1997 and Liu et al., 2015) and observations (Timing and MVA methods), the normal speed of magnetopause (VMP) from Timing method, the component speeds of cold ion along normal and tangential directions, the deflection angle between the observed magnetopause normal and the prediction, and the magnetopause deformation amplitude calculated by integrating cold ion speed (Positive or negative values indicate whether the magnetopause is moving outward or inward) of all 30 crossings in geocentric solar magnetospheric (GSM) coordinates.
DOI: 10.6084/m9.figshare.23999010.v2
title: <b>Earth’s </b><b>“</b><b>missing” chlorine may be in the core</b>

description: <b>Example input and output files: </b>Density functional theory-based molecular dynamics simulations using VASP (located in the directory labeled "1_Two_phase_simulations"); Gibbs energy calculations using i-PI interfaced with both VASP and LAMMPS (located in the directory labeled "2_Thermodynamic_integration").<b>Code availability: </b>Density functional theory calculations were performed using VASP which is proprietary software available for purchase (at https://www.vasp.at). Classical molecular dynamics simulations were performed with LAMMPS (https://www.lammps.org). Thermodynamic integration was performed using i-PI (https://ipi-code.org) interfaced with both VASP and LAMMPS.
DOI: 10.7939/dvn/10253
title: Gamergate Reactions

description: Data extracted from a scrape of #gamergate tweets. We scraped from October 2014. The datasets released include high frequency words, links, and hashtags.
DOI: 10.15468/nzrq36
title: 2019_Auddice environnement_1

description: 2019_AUDDICE_Levens:Auddice environnement
DOI: 10.17632/gf59v5b2kw.1
title: Dataset for: Geochemical and Sr-Nd-Pb-Fe isotopic constraints on the formation of Fe-Si oxyhydroxide deposits at the ultra-slow spreading Southwest Indian Ridge

description: The dataset includes whole-rock major element, Zn, and S concentration data (Table 1), U and Th data along with 230Th ages (Table 2), and whole-rock Sr-Nd-Pb-Fe isotope data for various samples from the SWIR Fe-Si oxyhydroxide deposits. Additionally, the supplementary tables provide a summary of the location, water depth, classification, lithology, description, and mineral composition (Table S1). They also include Mössbauer parameters for Fe-Si oxyhydroxides (Table S2) and whole-rock trace element concentration data (Table S3) for various types of samples in this study.
DOI: 10.17632/rn5spttp3k.3
title: Teleseismic P-wave attenuation and upper mantle 3-D Qp structure underneath the eastern Tibetan Plateau

description: Teleseismic P-wave attenuation and Qp model beneath the eastern Tibetan Plateau.
DOI: 10.5281/zenodo.10513449
title: Data for Cutoff rigidities, galactic cosmic ray flux, and heavy ion detections at Jupiter

description: This is supporting data for the paper, "Cutoff rigidities, galactic cosmic ray flux, and heavy ion detections at Jupiter," published in AGU Journal of Geophysical Research: Planets. The included ReaddMe file provides a description of the files.
DOI: 10.5281/zenodo.7784621
title: KASI MR met files from 2020 to 2021

description: KASI Meteor Radar met files from 2020 to 2021
DOI: 10.5281/zenodo.8256413
title: Juno Stellar Reference Unit (SRU) image data for high energy ion detections during perijoves 22-35

description: This is the Juno Stellar Reference Unit (SRU) image data for high energy ion detections during perijoves 22 to 35.
DOI: 10.5281/zenodo.8413705
title: Data for "Spatial and Temporal patterns of Southern Ocean Ventilation"

description: This contains the trajectory data used in the paper "Spatial and temporal patterns of Southern Ocean Ventilation" which has been submitted to GRL
DOI: 10.14278/rodare.2430
title: Multi-sensor spectral database of WEEE polymers

description: Polymers represent around 25% of total waste from electronic and electric equipment. Any successful recycling process must ensure that polymer-specific functionalities are preserved, to avoid downcycling. This requires a precise characterization of particle compounds moving at high speeds on conveyor belts in processing plants. We present a multi-sensor database including spectra acquired from imaging and point measurement sensors on 23 polymers including ABS, PS, PC, PE-types, PP, PVC, PET-types, PMMA, and PTFE. The techniques applied include hyperspectral imaging sensors (HSI) to map reflectance in the visible to near infrared (VNIR, (350–1000) nm ), short-wave (SWIR, (1000–2500) nm) and mid-wave infrared (MWIR, (2500–5000) nm) as well as point Raman, FTIR and portable spectral spectroradiometer (PSR) instruments.
description: This research activity was supported by EIT RawMaterials within the KAVA up-scaling project "RAMSES-4-CE" (19262). We thank The Helmholtz Institute Freiberg for Resource Technology for supporting and funding the project for the AisaFENIX sensor. We acknowledge the HighSpeedImaging project, Funded by the European Regional Development Fund and the Land of Saxony, for the SPECIM FX50 sensor.
DOI: 10.17632/c6v59khbt3.1
title: SC.HAWQS: South Carolina Hydrologic and Water Quality System

description: SC.HAWQS is a web-based interactive water quantity and quality modeling system that employs as its core modeling engine the Soil and Water Assessment Tool (SWAT), an internationally-recognized public domain model. HAWQS provides users with interactive web interfaces and maps; pre-loaded input data; outputs that include tables, charts, and raw output data; a user guide, and online development, execution, and storage of a user's modeling projects. This web-based interface is specific for the State of South Carolina. Direct link to the tool: https://sc.hawqs.tamu.edu/#/
DOI: 10.5281/zenodo.7787291
title: Excess ground ice profiles from Sentinel 1

description: Maps of excess ice content profiles were estimated from Sentinel-1 subsidence observations. Results for three study regions in Alaska are included: Happy Valley, Brooks Foothills Ice Cut, Brooks Foothills Kivalina, Northwestern Alaska The results for each region are contained in the corresponding .zip file. The subfolders correspond to the different years. The content of each subfolder are as follows: meta.txt: human-readable metadata: geolocation information (rasterio affine transformation, projection, size of image, vertical grid [m]) e_mean.npy: array containing the posterior mean of the excess ground ice profiles e [-] e_quantile.npy: array containing the 10th and 90th posterior percentile of the excess ground ice profiles e [-]
DOI: 10.5281/zenodo.8070973
title: Data for "Global Precipitation Correction Across a Range of Climates Using CycleGAN"

description: # Data for "Global Precipitation Correction Across a Range of Climates Using CycleGAN" This repository contains the data used in the paper "Global Precipitation Correction Across a Range of Climates Using CycleGAN" by J. McGibbon et al. (2023, *in review*). `train_val` contains the model outputs for the training and validation sets used in the paper. Model spinup data is not included. The C384 runs are stored as a single series along a concatenated time axes. All C384 data has been coarsened to C384 resolution. `ramping_data` contains the model outputs from the 4-year, 3-month ramping simulation, including spinup data. `predicted` is included for convenience, and contains the model outputs from the "best" model, as was used to create figures shown in the paper. This model output was created from the CycleGAN using the validation dataset (stored in `train_val`) as input, and years 2 and 3 of the ramping simulation in `ramping_data` (following the 3-month spinup period). Ramping predictions are stored as separate datasets for the C48 (backwards) prediction and the C384 prediction. Validation data is stored alongside its respective target data in a single netCDF file, labelled "processed-agg". These filenames are intentionally left unchanged so that they correspond with the names of files used in the `process_combined_aggregate.py` script in `projects/cyclegan` of the code DOI for this paper, which was used to create its figures.
DOI: 10.15468/hsurxv
title: 2021_BIOTOPE_3

description: 2021_BIOTOPE_Fluxel:BIOTOPE
DOI: 10.6084/m9.figshare.16699481
title: Orthodenticle homeobox OTX1 is a potential prognostic biomarker for bladder cancer

description: Bladder cancer (BC) is one of the most aggressive tumors worldwide. OTX1 (orthodenticle homeobox 1) is an important transcription factor involved in various diseases, such as cancers. The aim of this study was to further investigate the role of OTX1 in BC. In this study, differentially expressed genes (DEGs) were screened from tumor tissues and para-cancerous tissues by bioinformatics. The expression of protein and RNA was separately detected by western blotting and immunohistochemistry (IHC), and quantitative polymerase chain reaction (qPCR); cell viability and cell growth were determined by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and clone formation assays, respectively; cell motility was measured by transwell and wound healing assays; cell cycle was measured by flow cytometry. In this study, 9 DEGs were screened out, and OTX1 was employed as a candidate gene for subsequent study. Results found that OTX1 was highly expressed in BC cells and BC tissues, which was significantly associated with poor prognosis of patients. In addition, OTX1 silencing significantly reduced cell viability, and inhibited cell growth and motility, while OTX1 overexpression got opposite results. Moreover, OTX1 co-expressed genes were enriched in cell cycle-related pathways, suggesting that the role of OTX1 in BC may be related to cell cycle, which was confirmed by flow cytometry analysis. Furthermore, <i>in vivo</i> experiments showed that OTX1 silencing significantly inhibited tumor growth in tumor-bearing mice. Taken together, our findings suggested that OTX1 may play a promotional role in BC progression.
DOI: 10.6084/m9.figshare.16699481.v1
title: Orthodenticle homeobox OTX1 is a potential prognostic biomarker for bladder cancer

description: Bladder cancer (BC) is one of the most aggressive tumors worldwide. OTX1 (orthodenticle homeobox 1) is an important transcription factor involved in various diseases, such as cancers. The aim of this study was to further investigate the role of OTX1 in BC. In this study, differentially expressed genes (DEGs) were screened from tumor tissues and para-cancerous tissues by bioinformatics. The expression of protein and RNA was separately detected by western blotting and immunohistochemistry (IHC), and quantitative polymerase chain reaction (qPCR); cell viability and cell growth were determined by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and clone formation assays, respectively; cell motility was measured by transwell and wound healing assays; cell cycle was measured by flow cytometry. In this study, 9 DEGs were screened out, and OTX1 was employed as a candidate gene for subsequent study. Results found that OTX1 was highly expressed in BC cells and BC tissues, which was significantly associated with poor prognosis of patients. In addition, OTX1 silencing significantly reduced cell viability, and inhibited cell growth and motility, while OTX1 overexpression got opposite results. Moreover, OTX1 co-expressed genes were enriched in cell cycle-related pathways, suggesting that the role of OTX1 in BC may be related to cell cycle, which was confirmed by flow cytometry analysis. Furthermore, <i>in vivo</i> experiments showed that OTX1 silencing significantly inhibited tumor growth in tumor-bearing mice. Taken together, our findings suggested that OTX1 may play a promotional role in BC progression.