Modiri, Ehsan · Shrestha, Pallav Kumar · Samaniego Eguiguren, Luis Eduardo
hybrid · semantic + lexical · 5 datasets ranked · 0.40s
Modiri, Ehsan · Shrestha, Pallav Kumar · Samaniego Eguiguren, Luis Eduardo
Historical Hydrological Simulations over the South African Domain (1990-2024) The mHM's simulations of the Planet4Health project This dataset contains historical hydrological simulations for the South African domain (domain 1020011530) conducted with the Mesoscale Hydrological Model (mHM) at a spatial resolution of 0.015625°. The simulation period spans 1990-2024 and was part of the Planet4Health (P4H) project, utilising the ERA5 meteorological forcing. This archive is prepared for DOI assignment and ensures long-term reproducibility. It includes relevant clipped NetCDF components for soil moisture layers 4, 5 and 6, consistent with the infrastructure provided within the Helmholtz Centre for Environmental Research (UFZ). The simulations were executed using a specific version of the mHM model with the SCC method for gauges, paired with the mRMv1.0 routing configuration. 🛰️ Simulation Details Model: Mesoscale Hydrological Model (mHM) Codebase: scc_for_gauges branch (https://git.ufz.de/shresthp/mhm/-/tree/scc_for_gauges?ref_type=heads) Spatial resolution: 0.015625° Temporal resolution: Daily Simulation period: 1990-2024 Simulation type: Historical simulation Spin-up: 30-year spin-up using 1990-2019 ERA5 climatology Model version: v1.0 Setup Scope: Model run for domain 1020011530, post-processed and clipped. Configuration & Modules The configuration utilises standard structural components with the SCC methodology. Modules included: Snow processes: Degree-day method Soil moisture: Feddes equation for evapotranspiration reduction Infiltration: Multi-layer Brooks-Corey-like approach Direct runoff: Linear reservoir exceedance method Potential evapotranspiration: Hargreaves-Samani method Interflow: Storage reservoir with nonlinear outflow Groundwater: Linear reservoir Routing: Adaptive time-step routing with mRMv1.0 mechanisms 📥 Input Datasets Meteorological Forcing: ERA5 (Hersbach et al., 2020) at a native input meteorological resolution of 0.25°, dynamically downscaled/mapped to model requirements. Processing Infrastructure: Tracked, processed, and validated under the Planet4Health deployment pipeline (https://git.ufz.de/planet4health/mhm_production/-/tree/main/postproc?ref_type=heads). Data Interfaces: Climate Data Interface version 2.2.4 (CDI) | Climate Data Operators version 2.2.2 (CDO) | NetCDF Operators version 5.1.7 (NCO). 📤 Output Variables sm_l04: Volumetric soil moisture layer 4 (300-500 mm depth) [mm mm-1, fraction between 0 and 1] sm_l05: Volumetric soil moisture layer 5 (500-1000 mm depth) [mm mm-1, fraction between 0 and 1] sm_l06: Volumetric soil moisture layer 6 (1000-2000 mm depth) [mm mm-1, fraction between 0 and 1] 📫 Contact Ehsan Modiri - ehsan.modiri@ufz.de Pallav Kumar Shrestha - pallav-kumar.shrestha@ufz.de Institution Helmholtz Centre for Environmental Research - UFZ, Department of Computational Hydrosystems
The RESIST Project Team
1 files · 2.9 MB · jpegdeclared
The official website of the RESIST Project, available at https://theresistproject.eu/
Tenoux, Thierry · charbonnier, romain · Corre, Yoann
5 files · 4.4 MB · csv, pdfdeclared
This dataset provides synthetic radio channel samples generated by ray-tracing simulation, for use in the study of the Future Railway Mobile Communication System (FRMCS). The data were produced by SIRADEL using their InoWave ray-tracing engine, in the framework of two collaborative research projects: 5G-RACOM and 5G-REMORA . 5G-RACOM (5G for Resilient and Green RAil COMmunications) investigates spectrum-efficient, resilient, and robust designs for FRMCS, covering radio propagation and channel modeling at 900 MHz (band n100) and 1900 MHz (band n101) across various railway operational scenarios, GSM-R/FRMCS coexistence, and hybrid FRMCS network solutions. More information: 5G-RACOM - Franco-German Ecosystem for Private 5G Networks . 5G-REMORA (5G-REalistic radio channel MOdels enabled system evaluation for RAilway environments) supports a "zero-on-site testing" approach for FRMCS deployment, combining realistic railway radio channel characterization from on-site sounder measurements, stochastic modeling, and enhanced ray-tracing, targeting the 900-1900 MHz railway frequency bands. More information: ANR Project-ANR-22-CE22-0015 . Dataset content The dataset includes two railway propagation scenarios, both simulated at a 1900 MHz central frequency between a macro-cell base station (BS) located near the track and a dual-polarized antenna mounted on the train rooftop: Montparnasse scenario : An outdoor-to-indoor transition scenario at the edge of the Montparnasse railway station in Paris, covering a 60 m trajectory (30 m outdoor / 30 m indoor) at 20 km/h. Paris scenario : An urban propagation scenario in the south of Paris, covering a 163 m trajectory at 100 km/h, including scattering effects from 22 metallic catenary pylons along the track. Each scenario is provided as a CSV file containing, for each simulated user-equipment (UE) position along the train trajectory, the set of ray-traced multipath components (delay, Doppler shift, azimuth/elevation angles of departure and arrival, and complex path amplitudes for all four V/H polarization combinations), along with UE position, timestamp, and line-of-sight/obstruction status. The channel data is provided as raw propagation output - no transmit power, antenna pattern, or signal bandwidth is applied. The complete CSV field definitions and coordinate/angle conventions are documented in the accompanying file SIRADEL railway channel data format - v1.3.pdf . The data is licensed under a Creative Commons "CC BY-NC-SA 4.0" license, which excludes any commercial use. The users are encouraged to publicly communicate the results of studies based on this channel data; and clearly state the source of the data. If you are using the data, we would pleased you keep us informed, and let us know about the target application.
Collin Schwantes · Cole Brookson · Timothée Poisot · et al.
5 files · 49 MB · csv, gzipdeclared
This deposit contains a dynamically maintained database of vertebrate-virus associations. The VIRION database has been assembled through both reconciliation of static data sets and integration of dynamically updated databases. These data sources are all harmonized against one taxonomic backbone, including metadata on host and virus taxonomic validity and higher classification; additional metadata on sampling methodology and evidence strength are also available in a harmonized format. Data Products: 1) virion.csv.gz - Virion dataset. 2) ncbi_accession.csv.gz - NCBI Accession numbers for virion associations. Linked via AssocID. 3) db_table.csv - Databases used to compile virion. Linked via DatabaseVersion. 4) tax_table.csv.gz - Taxa information for virion. Linked via HashTaxID to HostHashTaxID or VirusHashTaxID.
Carceral Ecologies · Behind Bars Data Project at the UCLA School of Law
6 files · 87 MB · csv, pdfdeclared
This repository provides documentation supporting the data availability statement for the study: Death by Incarceration: Detention Duration, Overdose, and COVID-19 in Los Angeles Jail, 2008-2023 Users should refer to the terms of use of each original data provider for the source datasets.