cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22078487.v1
title: Dataset of Psychosocial well-being needs of alcohol/drug sufferers and therapeutic architectural solutions in rehabilitation centre, Nigeria: a cross-sectional study

description: The study is a case study of four rehabilitation centres in Nigeria’s busiest cities; Lagos, Abuja, Port Harcourt, and Enugu. The authors collected data via survey questionnaires, an in-depth interview guide, an observation guide, and a checklist of TACs in a healthcare facility. The authors interviewed twelve selected sufferers and specialists from the four (4) rehabilitation centres and Three (3) interviewees from each of the rehabilitation facilities (The 12 participants were purposively selected from the four (4) randomly selected rehabilitation facilities in the four busiest cities (Lagos, Abuja, Port-Harcourt and Enugu) across four (south-west, north-central, south-south and south-east) of the six geopolitical zones in Nigeria. The authors selected 3 out of the 12 participants from the four facilities. The three participants comprised: 1. the chief consultant, 2. a specialist nurse and 3. an alcohol drug sufferer (ADS). Therefore, three from ADRS-RC, Lagos, three (3) from NLSHRC, Abuja, three (3) from 180DC, Port Harcourt and three (3) from NPHS, Enugu total of 12 participants). Also, the study used observation guides and checklists to record data on the available TACs in the four facilities that influence the patient's psychosocial well-being. The authors used a semi-structured questionnaire to identify the psychosocial well-being needs (PWNs) of ADSs. The breakdown of the number of questionnaires administered and the responses are in table 1. The authors designed these questionnaires to be completed by the patients (ADSs). Four research assistants undertook the data gathering process for twelve weeks during the morning and evening, during weekends (Fridays to Sundays). Data collection started on July 15 and ended on September 30, 2022.
DOI: 10.6084/m9.figshare.26140192.v1
title: Isotope Nutrient Data

description: Isotope data for adults and nymphs as well as nutrient data for nymphs.
DOI: 10.6084/m9.figshare.26140195.v1
title: Benthic Hexagenia Data

description: Abundance and length information for benthic nymph sampling on Lake Seminole using a petite ponar at each location.
DOI: 10.6084/m9.figshare.26221568.v1
title: Benthic Abiotic Data

description: Benthic water quality readings from each site where mayfly nymphs were collected across Lake Seminole Georgia.
DOI: 10.6084/m9.figshare.26221667.v1
title: Water Quality Data

description: Water Quality data collected at the top of each arm of Lake Seminole Georgia between January 2020 and July 2022
DOI: 10.14768/93f138f5-a553-4691-96ed-952fd32d2fc3
title: GEOgrid_coldcloud : a homogenization of the IR observation of a fleet of geostationary satellites

description: Infrared (IR) observations from the fleet of multi-agencies meteorological geostationary satellites have a great potential to support scientific and operational investigations at a quasi-global scale. In particular, the observation of Deep Convective Systems over the entire tropical belt can then be performed by applying tracking algorithms on a full space/time resolution thermal infrared measurements obtained from the operational fleet of geostationary satellites (GEOring). Yet, this GEOring dataset is far from being homogeneous preventing the realization of its potential. A number of sources of inhomogeneities is identified ranging from spatio-temporal resolutions, to spectral characteristics of the IR channels and calibration methodologies. While previous efforts have attempted to correct such issues, the adjustment of the cold part of the infrared spectrum remains unfit for cold cloud studies. 
To overcome these issues, a homogenization of the IR observation of a fleet of geostationary satellites from 2012 to 2020 has been carried out for a specific analysis of the high cold clouds. The resulting level 1C IR dataset is called GEOgrid_colcloud. This dataset is a consistent 10.5-12.5 μm IR equivalent BT dataset, with a homogeneous re-calibration, and a spectral correction, a 0.04°×0.04° spatial resolution, a 30-minute common time resolution and a correction for limb darkening effect. The dataset covers the 2012-2020 period. The global homogeneity of the IR GEOring dataset regardless of the variation of VZA is then characterized by a standard deviation of 1.43 K within any of two geostationary satellites for brightness temperatures &lt; 245K. The homogenization procedure has been fully described in Fiolleau etal (2020)

- Fiolleau, T., R. Roca, S. Cloché, D. Bouniol, P. Raberanto, 2020: Homogenization of geostationary infrared imager channels for cold cloud studies using Megha-Tropiques/ScaRaB. IEEE Trans. Geosci. Remote Sens., vol 58, no. 9, pp. 6609-6622. doi: 10.1109/TGRS.2020.2978171
DOI: 10.14768/98569eea-d056-412d-9f52-73ea07b9cdca
title: CACATOES database V1.04

description: The CACATOES database is a level-3 product derived from the TOOCAN database. It allows to analyze the MCSs over the entire tropical belt by an Eulerian approach. The integrated morphological parameters of each MCS have been projected into a 1°/1day grid and the characteristics of all the MCSs occurring in a given gridpoint have been sorted according to the area occupied within this gridpoint. The most representative MCS can then be easily identified for a given 1°/1day gridpoint. 
This new version 1.04 of the CACATOES database is available for the 9-year period from 2012 to 2020 over the whole tropical belt [30°S-30°N] and is composed by 1°/1day global monthly files in NETCDF.

Fiolleau, T. and R. Roca, 2013: An Algorithm for the Detection and Tracking of Tropical Mesoscale Convective Systems Using Infrared Images From Geostationary Satellite, IEEE Trans. Geosci. Remote Sens., vol. 51, no. 7, pp. 4302–4315. doi: 10.1109/TGRS.2012.2227762

Fiolleau, T., R. Roca, S. Cloché, D. Bouniol, P. Raberanto, 2020: Homogenization of geostationary infrared imager channels for cold cloud studies using Megha-Tropiques/ScaRaB. IEEE Trans. Geosci. Remote Sens., vol 58, no. 9, pp. 6609-6622. doi: 10.1109/TGRS.2020.2978171
DOI: 10.15784/601170
title: Report on Antarctic surface hydrology workshop, LDEO, 2018

description: In February 2018, we hosted a workshop on Antarctic Surface Hydrology and Future Ice-shelf Stability at Lamont-Doherty Earth Observatory, Palisades, New York. Funding for the workshop was provided by the
U.S. National Science Foundation (NSF) Antarctic Glaciology Program (award number: 1743326). The
aims of the workshop were to: (1) establish the state-of-the-science of Antarctic surface hydrology; (2)
identify key science questions raised by observations and theoretical studies of Antarctic surface
hydrology, and (3) move the community toward answering these questions by bringing together scientists
with diverse expertise. The workshop was motivated by the premise that significant gains in our
understanding can be made if researchers with interests in this field are provided with an opportunity to
communicate and develop collaborations across disciplines.

Here we report on the organisation, attendance, and structure of the workshop, before summarizing key
science outcomes, research questions, and future priorities that emerged during the workshop within the
following four themes:
1. Surface melting: controls and observations
2. Water ponding and flow
3. Impact of meltwater on ice-shelf stability
4. Ice-sheet/climate modeling

Finally, building on the emergent science questions, we propose a framework for prioritizing future work,
aimed at understanding and predicting the impact that surface meltwater will have on future Antarctic Ice
Sheet mass balance.
DOI: 10.1594/pangaea.912274
title: Hydroacoustic data Eckernförde Bay, Germany aquired during ALKOR cruise AL447 and Elisabeth Mann Borgese EMB187, with links to files

description: This multibeam echo sounder (MBES) bathymetry data and backscatter data, as well as subbottom profiler data, was acquired in Eckernförde Bay, Germany.The MBES data were acquired using an EM2040c system which was installed on R/V Alkor (Cruise AL447 - 2014). It operates with a 200-400 kHz transducer combined with a CodaOctupus F180 motion sensor. The survey was designed to provide high-resolution bathymetry with 0.5 x 0.5 m resolution. The bathymetry data were post-processed using sound velocity profiles acquired at regular intervals. Tidal corrections were applied using the tidal gauge in Eckernförde with reference to NHN, DHHN92.The backscatter amplitude data were corrected for the variation with grazing angle. We ensured the highest possible resolution by using the raw backscatter time-series data for each footprint (snippets) and compensated for the angle of incidence using reference grids.Subbottom profiler data were acquired with the R/V Alkor and R/V Elisabeth Mann Borgese in late October 2014 (cruise AL447), the beginning of July 2018 (cruise EMB187). The data were acquired using a parametric Innomar SES-2000 medium system creating secondary peak frequencies between 4 and 15 kHz.
DOI: 10.1594/pangaea.925913
title: Epiphytic diatom community structure and richness is determined by macroalgal host and location in the South Shetland Islands (Antarctica)

description: The marine waters around the South Shetland Islands are paramount in the primary production of this Antarctic ecosystem. With the increasing effects of climate change and the annual retreat of the ice shelf, the importance of macroalgae and their diatom epiphytes in primary production also increases. The relationships and interactions between these organisms have scarcely been studied in Antarctica, and even less in the volcanic ecosystem of Deception Island, which can be seen as a natural proxy of climate change in Antarctica because of its vulcanism, and the open marine system of Livingston Island. In this study we investigated the composition of the diatom communities in the context of their macroalgal hosts and different environmental factors. We used a gentle non-acidic method for diatom digestion, followed by an established slide scanner protocol to increase transparency and repeatability of diatom identification. The results showed that epiphytic diatom species richness was higher on Deception Island as a whole, while individual hosts showed higher richness on Livingston Island. We hypothesize this a possible result of a higher diversity of ecological niches in the unique volcanic environment of Deception Island. Overall, our study revealed higher species richness and diversity than in other studied locations in Antarctica, which could be the result of the different preparation methodologies used in the different studies and which underlines the necessity of a repeatable and transparent methodology such as the one presented in this paper. In conclusion, this study not only explores differences in distribution of epiphytic diatoms according to macroalgal host and location thereof, but also proposes a methodology which can can facilitate the identification of diatoms and the appraisal of biodiversity in naturally stressed and nearly pristine ecosystems.
DOI: 10.17895/ices.pub.2860
title: ICES 2017 HELCOM ? Technical Service for the production of spatial data layers of fishing intensity/pressure
DOI: 10.18462/iir.icr.2019.0547
title: Efficiency evaluation of borehole heat exchangers in Nunavik, Québec, Canada.
DOI: 10.22008/fk2/khhmqe
title: NAG-TEC ArcGIS Project

description: ArcGIS database of comprehensive background material upon which the NAG-TEC Atlas is based. The project includes links to seismic refraction profiles, geoseismic sections, stratigraphic charts, etc. A separate geodatabase and mxd file is included with the reconstructions based on the plate kinematic model.
DOI: 10.24432/c5689x
title: Heterogeneity Activity Recognition
DOI: 10.24432/c5g020
title: Chronic Kidney Disease
DOI: 10.24432/c5g308
title: Epileptic Seizure Recognition
DOI: 10.24432/c5m888
title: Molecular Biology (Splice-junction Gene Sequences)
DOI: 10.24432/c5p304
title: SPECT Heart
DOI: 10.24432/c5s01d
title: Molecular Biology (Promoter Gene Sequences)
DOI: 10.25405/data.ncl.27089278
title: Adaptation through natural selection under climate change for thermally sensitive corals: ReefMod-PALAU_v1.1 data analysis

description: This record provides the data and data analysis of an eco-evolutionary seascape model for a remote Pacific coral reef archipelago, the Republic of Palau. Extending on previous modelling work (ReefMod-GBR_v6.8), this model, ReefMod-PALAU_v1.1, combines coral demography, thermal biology, evolutionary biology, ecology, and metapopulation connectivity for thermally sensitive corymbose <i>Acropora </i>corals. This study explores the sensitivity of coral population trajectories to evolutionary, climatological, and ecological assumptions.Access the scripts of ReefMod-PALAU_v1.1, used to analyse the data in this record.
DOI: 10.34740/kaggle/ds/1187591
title: Diatom Dataset
DOI: 10.34740/kaggle/ds/3577354
title: UW Madison GI Tract Image Segmentation Dataset
DOI: 10.4225/25/5a207b36022d2
title: High-resolution depth model for the Great Barrier Reef - 30 m

description: This dataset contains bathymetry (depth) products from the compilation of all available source bathymetry data within the Great Barrier Reef into a 30 m-resolution Digital Elevation Model (DEM).
The Great Barrier Reef (GBR) is the largest coral reef ecosystem on Earth and stretches over 2500 km along the north-eastern Australia margin.
Bathymetry mapping of this extensive reef system is vital for the protection of the GBR allowing for the safe navigation of shipping and improved environmental management.
Over the past ten years, deep-water multibeam surveys have revealed the highly complex shelf-edge drowned reefs and continental slope canyons.
Airborne LiDAR bathymetry acquired by the Australian Hydrographic Service cover most of the GBR reefs, with coverage gaps supplemented by satellite derived bathymetry.
The Geoscience Australia-developed Intertidal Elevation Model DEM improves the source data gap along Australias vast intertidal zone.
All source bathymetry data were extensively edited as point clouds to remove noise, given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum.
DOI: 10.5281/zenodo.10715502
title: Spurious numerical mixing in a regional configuration of the Symphonie ocean model over the South-East asian Seas

description: This file includes the codes of the Symphonie ocean model  (version 3.1.2) and the South-East Asian Seas configuration at 5 km resolution, along with preprocessed output data from some simulations, to be used with the plotting code provided on the following git repo : https://github.com/Clapinet/SpuriousMixingSEA.
DOI: 10.5281/zenodo.11398482
title: NDACC-IRWG FTIR harmonized FTIR XHCFC-22 datasets

description: It is the harmonized FTIR XHCFC-22 dataset at 16 FTIR sites. If you use this dataset for your study, please contact the corresponding author (minqiang.zhou@mail.iap.iap.ac) and the corresponding NDACC-IWRG site PIs.
DOI: 10.5281/zenodo.11474513
title: Mercury's Impact structure inventory

description: This data set display an inventory of impact structures larger than 150 km on Mercury.

Variables:



ID: Identification number or the name of the impact structure.

Diam (km): The diameter of the impact structure in kilometers.

Lon: Central longitude.

Lat: Central latitude.

Id_source: Primarly identification source ( Gravity data / DTM/ Mosaic model).

Certainity: Grade of certainity ( Certain, probable or tentative).

Class : Geomorphological classification (complex, central peak basins, peak ring basin, multi ring basins, modified basin).

Terraces: Presence of terraces. 

Rim: Rim preservation state.

Depth [km]: Depth measurements in km.

D/d:  Depth to diameter ratio.

Filling: Presence of volcanis infill.

Smooth plains: Filling classified as part of the smooth plains.

GD_LOS_rim: Measured gravity disturbance (mGal) of LOS gravity model (Goossens et al., 2022) associated with the rim area of the impact structure.

GD_LOS_cen: Measured gravity disturbance (mGal) of LOS gravity model (Goossens et al., 2022) associated with the center of the impact structure.

GD_JGMESS_rim: Measured gravity disturbance (mGal) of JGMESS_160a gravity model (Konopliv et al., 2020) associated with the rim area of the impact structure.

GD_JGMESS_cen: Measured gravity disturbance (mGal) of JGMESS_160a gravity model (Konopliv et al., 2020) associated with the center of the impact structure.

LOS_BA_rim: Measured Bouguer anomaly (mGal) of LOS gravity model (Goossens et al., 2022) associated with the rim area of the impact structure.

LOS_BA_cen: Measured Bouguer anomaly (mGal) of LOS gravity model (Goossens et al., 2022) associated with the center of the impact structure.

LOS_BA_contr: Bouguer anomaly contrast (mGal).

BA_JGMESS_rim: Measured Bouguer anomaly (mGal) of JGMESS_160a gravity model (Konopliv et al., 2020) associated with the rim area of the impact structure.

BA_JGMESS_cen: Measured Bouguer anomaly (mGal) of JGMESS_160a gravity model (Konopliv et al., 2020) associated with the center of the impact structure.

BA_JGMESS_contr: Bouguer anomaly contrast (mGal).

CT_U0_centr:  Measured crustal thickness (km) associated with the center of the impact structure.

CT_U0_rim:  Measured crustal thickness (km) associated with the rim area of the impact structure.
DOI: 10.5281/zenodo.12545536
title: Quantifying Salt Crystallization Impact on Evaporation Dynamics from Porous Surfaces

description: The file contains cumulative evaporative mass losses during evaporation from sand columns saturated with 10%, 15%, and 20% NaCl solutions (mass basis).
DOI: 10.5281/zenodo.12670050
title: FlakyDoctor Artifact

description: This is the artifact for the paper "Neurosymbolic Repair of Test Flakiness" at ISSTA2024. 

Please refer to `README.md` for more details. The same content can be found at https://github.com/dserfe/FlakyDoctor
DOI: 10.5281/zenodo.12786322
title: DynToy simulated scRNA-seq datasets
DOI: 10.5281/zenodo.1309035
title: Sonora 2018: Cloud-Free, Solar Composition, Solar C/O Substellar Atmosphere Models And Spectra

description: These models for non-irradiated, substellar mass objects belong to the Sonora 2018 model series, to be described in Marley et al., currently in preparation for submission to Astrophysical Journal.

This particular set of model atmosphere structures and associated spectra are for cloudless, solar metallicity, solar C/O ratio objects (relative to Lodders (2010) abundances) with \(3.25 \le \log g \le 5.5\) and \(200 \le T_{\rm eff} \le 2400\,\rm K.\) "Rainout" chemical equilibrium is assumed. Spectra describe the emergent flux from the top of the atmosphere of the object, units in file header. Profiles give temperature and pressure through the model radiative-convective equilibrium structure. Volume mixing ratios for a few gasses of interest are also tabulated. Additional gas species are included in the calculation.

Filename specifies \(T_{\rm eff}\) and gravity (in mks units). 

"co1.0" in version and spectra header nomenclature refers to 1.0 times the solar C/O ratio. Y is the He mass fraction. f_hole is a cloud parameter for cloudy models, not relevant to these cloudless models.

The two "flux table" files give fluxes, in mJy, for various standard filter bandpasses of interest for each model case.
DOI: 10.5281/zenodo.13357645
title: Novel Approaches to Reducing Gastric Cancer Risk through Electromagnetic Signal Treatment of Pork Meat and Its Effects on MAPK Pathway Modulation

description: Our study investigated the effects of electromagnetic signal (EMS) exposure on pork meat, aiming to explore its potential to enhance food quality and reduce risk factors associated with gastric cancer (GC). Using a transcriptomic approach, we analyzed the RNA-sequencing data from pork meat treated with EMS. The study includes six samples: two from EMS-treated (EMS-T), two from EMS-untreated (EMS-UT), and two from the control group. The RNA-seq data are paired-end, with reads representing both the forward (1) and reverse (2) strands. Differentially expressed genes (DEGs) were identified by comparing EMS-T vs. Control and EMS-UT vs. Control groups. The raw RNA-sequencing data and DEGs have been deposited for further analysis.
description: The consumption of red meat, such as pork, beef, and lamb, has been associated with an incidence of gastric cancer (GC) due to certain processing and preparation methods. However, electromagnetic signal (EMS) exposure has demonstrated beneficial effects on food preparation, potentially improving food quality and reducing risk factors associated with GC. In our study, pork meat was treated with EMS, and this meat was investigated for its potential to reduce GC risk via in vitro and transcriptomic approaches. 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide and quantitative reverse transcription polymerase chain reaction assays were used to explore the cytotoxic and apoptotic effects of EMS-treated (EMS-T) and untreated (EMS-UT) pork meat extract on GC cells (KATO-III and S1M). The results indicated that KATO-III and S1M cells exhibited the highest inhibitory effect, with 32.8% and 24.53% inhibition, respectively, following treatment with 500 μg/mL EMS-T pork meat extract as compared to the EMS-UT meat extract treatment. Additionally, the apoptotic markers, CASP3 and CASP9, and the BAX/BCL2 ratio suggested that apoptosis was initiated upon treatment with EMS-T pork meat extract. Transcriptomic analysis further revealed that EMS-T pork treatment led to 217 uniquely differentially expressed genes in KATO-III cells, with 135 suppressed genes and 82 stimulated genes. Notably, the mitogen-activated protein kinase (MAPK) pathway emerged as a notably interconnected signaling pathway, with key genes, such as DUSP5, MAP4K2, TGFB3, CACNA2D2, CD14, CACNA1H, and EREG, showing significant interactions. Specifically, EMS-T pork meat extract treatment resulted in the suppression of MAP4K2, TGFB3, and CD14, while DUSP5 and CACNA2D2 were stimulated in KATO-III cells, contrasting with the gene expression profiles observed in cancer patients compared to healthy individuals according to The Cancer Genome Atlas data. Overall, these findings suggest that EMS-T meat may offer a novel approach for reducing GC risk by modulating apoptosis and the MAPK signaling pathway.
DOI: 10.5281/zenodo.13838225
title: Solar wind power likely governs Uranus' thermosphere temperature

description: Derived data shown in Figure 1 for the publication in Geophysical Research Letters.