cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1045339
title: Pcr-Globwb 2 Input Files Version 2017_11_Beta_1

description: Global extent input files at 5 arc-minute resolution and 30 arc-minute resolution for PCR-GLOBWB 2 (https://github.com/UU-Hydro/PCR-GLOBWB_model; Sutanudjaja et al., 2017).

PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Netherlands).

contact: Edwin Sutanudjaja (E.H.Sutanudjaja@uu.nl).

Sutanudjaja, E. H., et al.: PCR-GLOBWB 2: a 5 arc-minute global hydrological and water resources model, submitted to Geosci. Model Dev. Discuss., 2017
DOI: 10.5281/zenodo.14773398
title: Ocean warming effects on catch and revenue composition in the Northwestern Mediterranean Sea. Rcode, raw data, and results.

description: This repository contains the raw data used and results obtained in the publication:



Espasandín, L., Ramírez, F., Ortega, M., Villarino, E., Chust, M., Sbragaglia, V., Coll, M. (2025). Ocean warming effects on catch and revenue composition in the Northwestern Mediterranean Sea. Global Change Biology. 


 

Espasandin_et_al_2025/

   ├──  MTC & MTR/ # Rcode, raw data, and results of the Mean Temperature of the Catch (MTC) and the Mean Temperature of the Revenue (MTR) analysis. 

                    ├── RESULTS/ # Results of the MTC and MTR analysis: (1) TXTs summaries of the results of the linear regression models (i.e., MTC vs Year and MTR vs Year); (2) CSVs with MTC and MTR results and the strength of the underlying processes; and (3) CSVs with the temporal rate of change of species abundance and revenue.

                    ├──  Ta preference/ # Rcode of the species temperature of preference calculation and the final results.

   ├──  MUMIN analysis/ # Rcode, input data, and results of the MUMIN model analysis. 

   ├──  Sea temperature analysis/ # Results obtained from the sea temperature analysis.

 

Note: Each main folder contains a README file explaining the dataset structure and other particularities.
DOI: 10.5281/zenodo.14837977
title: Supporting Datasets for Submission: "Advancing Organized Convection Representation in the Unified Model: Implementing and Enhancing Multiscale Coherent Structure Parameterization" to Journal of Advances in Modeling Earth Systems

description: Supporting Datasets for Manuscript Submission

These datasets contain supporting materials for various analyses presented in the manuscript, categorized as follows:

1. MJO Analysis

The file mjo.jar.gz includes daily datasets of key atmospheric variables related to the Madden-Julian Oscillation (MJO) analysis, covering the period from January 1989 to December 2007. The dataset includes:



Outgoing Longwave Radiation (rlut): Reference data from NOAA-PSD satellite retrievals and simulated data from Unified Model (UM) simulations.

Winds (ua): Reference data from ERA-Interim reanalysis and simulated data from UM simulations.


UM simulations include:



Control run: Labeled as OFFUMPP

PRIME-MCSP run (organized convection): Labeled as UMPP

PRIME-MCSP variable-alpha run: Labeled as UMPPA


2. Decadal Climate Run

The file climate_run_precipitation.tar.gz contains monthly mean global precipitation maps from UM climate simulations and reference observations from GPCP, covering the period September 1988 to August 2008.

3. Short-term Weather Ensemble Run

The file weather_ensemble.tar.gz includes hourly/3-hourly key variables from UM weather ensemble simulations (members 0 to 7), covering the period from July 1, 2020, 03Z to July 3, 2020, 03Z.

4. MCS Tracking

The file mcs_track_config.tar.gz provides the configuration setup for running PyFLEXTRKR, used to obtain Mesoscale Convective System (MCS) tracks in UM simulations.
DOI: 10.5281/zenodo.14871156
title: Are deep learning models in hydrology entity aware?

description: This is the dataset and code accompanying the publication "Are deep learning models in hydrology entity aware?" of Benedikt Heudorfer, Hoshin V. Gupta, and Ralf Loritz to allow reproducible results.
DOI: 10.5281/zenodo.14910215
title: Dataset for 'Slopes of Lunar Crater Size-Frequency Distributions on Exterior Impact Melt Deposits of Young Crater Craters' research paper

description: The dataset includes area and crater shapefiles for 'Slopes of Lunar Crater Size-Frequency Distributions on Exterior Impact Melt Deposits of Young Crater Craters'. This study focuses on small craters on impact melt deposits at Tharp, Korolev Z, Thales, and Glushko craters ranging in diameter from 2.5 m to 73.4 m.
DOI: 10.6084/m9.figshare.21506059.v1
title: Antidepressant-like effect of caffeic acid: Involvement of the cellular signaling pathways

description: Abstract Caffeic acid is a phenolic compound widely distributed in plants and beverages such as coffee. Although its mechanism of action is poorly understood, caffeic acid reportedly induces antidepressant-like and neuroprotective effects. This study aimed to investigate the involvement of cellular signaling pathways in acute antidepressant-like effect induced by caffeic acid in mice. All procedures were approved by the Institutional Animal Ethics Committee of the UNIVALI n. 021/2013. Female Swiss mice were administered with vehicle, caffeic acid (5 mg/ kg, p.o.), inhibitor (H-89, U0126, chelerythrine, or PD9859, i.c.v.) or caffeic acid plus inhibitor. The behavioral effects were evaluated 1h after the administration of compounds to mice using tail suspension test (TST) and open field test (OFT). The results showed that the antidepressant- like effect of caffeic acid in mice was possibly mediated by the activation of PKA, MEK 1/2, PKC and MAPK (as assessed using TST), without compromising their locomotor activity (as assessed using OFT). Our results demonstrated, at least in part, the pathways involved in the neuroprotective and behavioral effects of caffeic acid.
DOI: 10.13139/olcf/2222888
title: Dayflow: CONUS Daily Streamflow Reanalysis, Version 2 (DayflowV2)

description: The DayflowV2 dataset provides multiple meteorologic forcings driven daily and monthly scale streamflow information at about 2.7 million NHDPlusV2 stream reaches in the conterminous US (CONUS). DaymetV4, Stage-IV, and Analysis of Period of Record for Calibration (AORC) forcings and their corresponding hybrids drive a nationally scalable modeling framework integrating the simulated runoff from the Variable Infiltration Capacity (VIC) model with the Routing Application for Parallel computatIon of Discharge (RAPID) routing model. Streamflow with (Assimilated) and without (Naturalized) streamflow assimilation at US Geological Survey (USGS) streamflow monitoring sites are included in DayflowV2. A comprehensive evaluation of streamflow at 7,526 USGS gauges is performed for both streamflow types. The resulting key evaluation metrics are also included in the Dayflow Dataset. The reanalysis data are available for variable periods; 36 years (1980 â 2015) for DaymetV4 (DayflowV1), 18 years (2002 â 2019) for Stage-IV and its hybrids, and 40 years (1980-2019) for AORC and its hybrids.
DOI: 10.15784/601839
title: Lake Fryxell 2022-2023 benthic microbial mat thickness and number of laminae

description: This dataset contains measurements of microbial mat thickness and number of laminae from Lake Fryxell, McMurdo Dry Valleys, Antarctica. Holes were melted through the ice cover of Lake Fryxell, which allowed tethered divers to collect benthic microbial mats (non-liftoff and liftoff) and microbial mats at the ice-water interface (float mats). Benthic non-liftoff and liftoff mat samples were collected from 4.3 m (n=4), 6.1 m (n=4), and 7.9 m (n=4) depths. Float mats were collected from the ice-water interface above 4.3 m (n=4), 6.1 m (n=4), and 7.9 m (n=5) depths. The mats were dissected along vertical cross sections in the field to measure mat thickness and number of laminae. Additional funding for this work was provided by the NASA Solar System Workings Program (Award #80NSSC22K0709).
DOI: 10.17189/1520341
title: LRO MOON LROC 5 RDR V1.0
DOI: 10.17632/2zpff67v59.1
title: DMT

description: This is a data from the research conducted in three European countries in 2020. It was used to theoretical modeling of the extended TPB with PLS-SEM
DOI: 10.17632/39tsrybmjz.1
title: The synthesis of habitat temperature, potential denitrification and anammox rates, the proportion of anammox to total nitrogen removal in sediments from various ecosystems globally

description: This dataset include the habitat temperature, potential denitrification and anammox rates, the proportion of anammox to total nitrogen removal in sediments from various ecosystems globally, which was collected from published researches. The references were also cited in the dataset.
DOI: 10.17632/7s7kgppzgz.1
title: 3D SRµCT scans of benthic foraminifera in the Baltic Sea during the Last Interglacial

description: 3D SR-microCT scans of benthic foraminifera Elphidium clavatum acquired at the Beamline BL 47XU, SPring-8 synchrotron facility (Japan). Samples were collected from Mommark in the Danish Straits, Baltic Sea entrance, covering the Last Interglacial period. Two zip files contain .tiff image files which are the image sequences of 3D scans with 500 and 385 nm resolution (voxel size). The excel datasheet contains information regarding scan file name, depth, and age. The images can be used for generating 3D models of foraminiferal morphology. The morphological parameters include size, volume, surface area, thickness, pore patterns, chambers, etc.
DOI: 10.17632/9977tcgdb8.1
title: Heavy Metal Study

description: Research Hypothesis
The study hypothesizes that heavy metal concentrations in soils from a granitic terrain in South India are influenced by both geogenic (natural geological factors) and anthropogenic (human-induced) sources. It suggests that metals like arsenic (As), cobalt (Co), chromium (Cr), copper (Cu), and zinc (Zn) exhibit spatial variation, with higher concentrations indicating potential contamination from activities such as pesticide and fertilizer use, alongside natural contributions from granitic geology.

Data Overview
This dataset includes heavy metal concentrations (As, Ba, Co, Cr, Cu, Mo, Ni, Pb, Rb, Sr, V, Y, Zn, Zr) measured in 44 soil samples collected from South India's granitic terrain. Concentrations, expressed in mg/kg, range from 3.4 to 543.4 mg/kg depending on the element. Measurements were obtained using X-ray fluorescence (XRF) spectroscopy, ensuring precision and reliability. Each sample is uniquely identified, and the dataset is structured with columns representing metal types and their concentrations.

Notable Findings
Spatial Distribution: Elevated concentrations of As, Pb, and Cr were identified in the study area's northwestern region, suggesting localized contamination due to human activities or natural enrichment from granitic rocks.
Contamination Levels: Geo-accumulation Index (Igeo) indicates moderate contamination, particularly for As, Pb, and Cr, influenced by geogenic and anthropogenic factors.
Anthropogenic Influence: Principal Component Analysis (PCA) shows fertilizers and pesticides contribute significantly to contamination, especially for Cu and Ni.
Health Risk: Non-carcinogenic risks (hazard index, HI) for children and adults were below the safe limit (HI &lt; 1) for most samples, indicating no immediate chronic exposure risk. However, carcinogenic risks for As and Cr ingestion exceeded acceptable thresholds in many samples, especially for children, highlighting potential long-term health concerns.
Interpretation and Use of the Data
This dataset provides critical insights into the spatial distribution and health risks of heavy metals in soils from granitic terrains. It supports land management planning, health risk assessments, and environmental policies aimed at mitigating contamination. Researchers can use it to explore contamination sources, assess ecosystem impacts, and develop sustainable soil management practices.
DOI: 10.17632/9fztrjc2d5.1
title: 3D micro-CT morphology data of benthic foraminifera in the Baltic Sea during the Last Interglacial

description: We analyzed the benthic foraminiferal species Elphidium clavatum with respect to size, surface area, volume, thickness, and pores by using synchrotron radiation X-ray microcomputed tomography (SRµCT). The dataset includes all the measurements and statistic analyses results.
DOI: 10.17632/cgtnjyggtm.1
title: Datasets on CFRP specimens after low-velocity impact tests: 24-layer quasi-isotropic laminates

description: This dataset is developed to study carbon fiber reinforced plastics laminates after low-velocity impact tests. It is related to a Data in Brief article, which describes the experiment in detail, and the main article on how the authors used the datasets. The low-velocity impact test was conducted with various impact conditions, changing the impactor shape, the impact energy and the stacking sequence, which generates barely visible impact damage. This dataset is on 24 layer quasi-isotropic laminates. See the other Mendeley data URLs to find the data on the other stacking sequences. 

“impacted surface image” folder: The impacted surface image (78.933mm * 78.933mm)
“internal damage” folder: The c-scanning image after the impact. Each scale is on the image.
“non-impacted surface image” folder: The non-impacted surface image (78.933mm * 78.933mm)
“surface profile” folder: The surface profile of the impacted surface. (78.933mm * 78.933mm)
“impact condition_q24.xlsx”: The impact condition.
DOI: 10.17632/p4zt8vfdjv.2
title: Characterization of metabolic features derived from the non-polar metabolite UHPLC-QTOF dataset of Jaspis sp. collected from the waters off Pulau Banggi, Sabah, Malaysia: UHPLC-QTOF Dataset

description: This dataset contains a list of metabolic features detected from the metabolite survey of Jaspis sp. isolated from the waters Pulau Banggi, Sabah, Malaysia. The frozen Jaspis sp. was freeze dried and homogenized, after which the non-polar metabolites were extracted using Folch's extraction buffer with modifications. The extracted non-polar metabolites, blank, and non-polar phase of the extraction buffer were subjected to UHPLC-QTOF profiling in both positive and negative modes. After removing the metabolic features detected in the Jaspis sp. sample that were also detected in the blank and non-polar phase of the extraction buffer, the remaining detected metabolic features were clustered and the representative metabolic features (with the highest detected intensity) were tentatively identified using a combination of MS2 spectral database search (with various MS2 spectral databases) as well in silico compound identification.
DOI: 10.17632/ts43chy55x.1
title: Meridional model data set

description: The data presented in the manuscript of "Meridional distribution of CO, H2O, and H2SO4 in the Venus' atmosphere: a two-dimensional meridional model incorporating transport and chemical reaction" submitted to Journal of Geophysical Research - Planets.
DOI: 10.20383/103.01231
title: Precipitation and 10m wind speed extreme exceedances from ERA5, IMERG and ISD and their association with cyclones over North America

description: This dataset provides valuable resources for studying extreme weather patterns, climate change impacts, and cyclone-induced hazards over North America. It contains a comprehensive analysis of extreme precipitation and 10-meter wind speed exceedances across North America, based on ERA5 reanalysis data, IMERG satellite observations, and ISD ground-based measurements. The dataset spans the period from 2001 to 2020 and includes high-resolution gridded data, local extreme thresholds, and associations with extratropical cyclones (ETCs). We include extreme exceedance calculations based on the 98th, 99th, and 99.9th percentiles for wind speed and precipitation; storm-specific analyses identifying extreme weather events linked to extratropical cyclones, including storm lists and exceedance metrics; compound extremes where extreme wind and precipitation events occur simultaneously within a 12-hour window; case study data focusing on the 2019 Halloween Storm, with time series and exceedance distributions for this extreme weather event; exceedance duration distributions, probability density functions (PDFs), and seasonal trends. We stored the data in netCDF and text file formats. All necessary analysis and visualization scripts, written in Fortran and Python, are available via Zenodo.
DOI: 10.21227/vkdw-x769
title: EPRI Insulator Defect Image Dataset

description: Test
DOI: 10.21951/dayflow/1847639
title: Dayflow: CONUS Daily Streamflow Reanalysis, Version 1 (V1)

description: Dayflow V1 is a historical streamflow reanalysis dataset reconstructed for a 36-year period (1980-2015). The dataset provides both daily and monthly scale streamflow information at about 2.7 million NHDPlusV2 stream reaches in the conterminous US (CONUS). Dayflow is the result of a nationally scalable modeling framework that integrates the simulated runoff from the Variable Infiltration Capacity (VIC) model with the Routing Application for Parallel computatIon of Discharge (RAPID) routing model. Two types of streamflow products, simulated streamflow with or without assimilation of historic US Geological Survey (USGS) streamflow observations, are provided in Dayflow V1. A comprehensive evaluation at 7,526 USGS National Water Information System (NWIS) gauges is performed for both types of streamflow products. The resulting key evaluation metrics are also included in the Dayflow V1 Dataset.
DOI: 10.24432/c5488x
title: Balance Scale
DOI: 10.3334/cdiac/lue.ndp050.2008
title: Carbon Flux to the Atmosphere From Land-use Changes: 1850 to 1990  (V. 2008)

description: The initial publication of these data at CDIAC was as a numerical data package (NDP) entitled: 'Continental scale estimates of the biotic carbon flux from land cover change: 1850-1980 (CDIAC NDP-050)'. These data were revised and extended to the year 1990, and were made available online as (CDIAC NDP-050/R1). These data were further revised and extended through the year 2000 and included in CDIAC's online TRENDS database. This database reflects the revision of rates of land-use change as described above, and an extension of the data through the year 2005. Please note that recorded values outside of the tropics after 1990 represent crude estimations and not new calculations.
DOI: 10.48670/moi-00149
title: GLOBAL OCEAN GRIDDED L4 SEA SURFACE HEIGHTS AND DERIVED VARIABLES NRT
DOI: 10.5065/d6r78d1m
title: Atmospheric River Tracking Method Intercomparison Project (ARTMIP) Tier 1 Catalogues

description: Atmospheric River Tracking Method Intercomparison Project (ARTMIP) Tier 1 developer catalogues.

Each ARTMIP method/algorithm (named by developer) submits a catalogue comprised of 0's (no AR exists) or 1's (yes AR exists) for each time slice, for each grid point, using MERRA-2 reanalysis data from January 1980 through June 2017.  Derived quantities required for algorithms, such as IVT or IWV, were computed by the ARTMIP project so that all methods use the exact same data.
DOI: 10.5066/p9kfu815
title: Geospatially derived environmental characteristics to prioritize watersheds for research and monitoring needs within 18 hydrologic regions across the United States

description: Water availability for human and ecosystem needs is a function of both water quantity and water quality, as described in the U.S. Geological Survey (USGS) Water Science Strategy (Evenson and others, 2013). Recently, a quantitative approach to prioritize candidate watersheds for monitoring investment was developed to understand changes in water availability and advance the objectives of new USGS programs (Van Metre and others, 2020). In this study design, the contiguous United States (CONUS) was divided into 18 regions (referred to here as ?hydrologic regions? or ?HRs?) with relatively homogeneous hydrologic drivers and processes to represent the wide diversity in conditions that exist across the CONUS. The gap analysis focused on prioritizing new capabilities beyond the current USGS science in discharge and constituent concentration trends to develop integrated capabilities for assessing and modeling of the water-quality drivers of aquatic ecosystem health. Water availability can be limited by various water-quality parameters such as temperature, salinity, excess nutrients, suspended sediment, geogenic constituents, and other contaminants of emerging concern (CECs) depending on water sources and human or ecosystem needs (Stanton and others, 2017). This data release contains more than 100 geospatial variables summarized for each watershed at the Hydrologic Unit level 4 (HUC4) that were used to prioritize watersheds targeted for USGS research. Additionally, the data release includes the polygon layers of the modified HUC4 watersheds and the hydrologic regions used for the analyses.
DOI: 10.5066/p9qrkuvj
title: Water Quality Portal

description: The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). The WQP integrates publicly available water quality data from the USGS National Water Information System (NWIS) the EPA Water Quality Exchange (WQX) Data Warehouse, and the USDA ARS Sustaining The Earth’s Watersheds - Agricultural Research Database System (STEWARDS). The EPA water quality data originate from the Water Quality Exchange, the EPA's repository of water quality monitoring data collected by water resource management groups across the country. Organizations, including states, tribes, watershed groups, other federal agencies, volunteer groups, and universities, submit data to the WQX in order to make their data publicly accessible. The USGS water quality data originate from the NWIS Web Database. The database contains current and historical water data from more than 1.5 million sites across the nation. It is used by state and local governments, public and private utilities, private citizens, and other federal agencies involved with managing water resources. All publicly available data are not available through the web services at this time. The web services include results for USGS parameters represented in the crosswalk between NWIS Parameter Codes and the EPA Substance Registry System. The latest crosswalk is available at this WQP Page. At this time this crosswalk accounts for approximately 92% of water-quality data available from NWIS Web.
DOI: 10.5067/4dq54ouij9dl
title: SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture, Version 5
DOI: 10.5067/gpm/imerg/3b-hh/06
title: GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06
DOI: 10.5067/sgsl3lnkgjww
title: GLDAS Catchment Land Surface Model L4 monthly 1.0 x 1.0 degree V2.0