cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25403698.v5
title: Data and code from: Pre-Failure Operational Anomalies of the Kakhovka Dam Revealed by Satellite Data

description: Qing Yang, Xinyi Shen, Kang He, Qingyuan Zhang, Sean Helfrich, William Straka III, Josef M. Kellndorfer, Emmanouil N. AnagnostouAbstract:On June 6, 2023, the Kakhovka Dam in Ukraine experienced a catastrophic breach that led to the loss of life and substantial economic values. Prior to the breach, the supporting structures downstream of the spillway had shown signs of being compromised. Here, we use multi-source satellite data, meteorological reanalysis, and dam design criteria to document the dam’s pre-failure condition. We find that anomalous operation of the Kakhovka dam began in November 2022, following the destruction of a bridge segment, which led to persistent overtopping from late April 2023 up to the breach, contributing to the erosion of the spillway foundation. Moreover, our findings also highlight safety and risk-reduction measures pivotal in avoiding such scenarios. To help prevent future disasters, we advocate for greater transparency in the design parameters of key water structures to enable risk management, and conclude that remote sensing technology can help ensuring water infrastructure safety.Data repository corresponding to: yang2473@uwm.eduThis repository contains underlying data and code for the main manuscript figures. Data for Figure 2 is from PlanetScope. Other raw data source are also concluded as follows:The Sentinel-2 and Landsat images used in this study are accessible at https://www.sentinel-hub.com/index.html. The PlanetScope images are obtained through https://www.planet.com/. The Sentinel-1 images were acquired from https://asf.alaska.edu/. The reservoir water levels can be found at https://ipad.fas.usda.gov/cropexplorer/global_reservoir/. The GloFAS-ERA5 river discharge reanalysis data are available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-glofas-historical?tab=overview.
DOI: 10.6084/m9.figshare.25403698.v4
title: Data from: Pre-Failure Operational Anomalies of the Kakhovka Dam Revealed by Satellite Data

description: Qing Yang, Xinyi Shen, Kang He, Qingyuan Zhang, Sean Helfrich, William Straka III, Josef M. Kellndorfer, Emmanouil N. AnagnostouAbstract:On June 6, 2023, the Kakhovka Dam in Ukraine experienced a catastrophic breach that led to the loss of life and substantial economic values. Prior to the breach, the supporting structures downstream of the spillway had shown signs of being compromised. Here, we use multi-source satellite data, meteorological reanalysis, and dam design criteria to document the dam’s pre-failure condition. We find that anomalous operation of the Kakhovka dam began in November 2022, following the destruction of a bridge segment, which led to persistent overtopping from late April 2023 up to the breach, contributing to the erosion of the spillway foundation. Moreover, our findings also highlight safety and risk-reduction measures pivotal in avoiding such scenarios. To help prevent future disasters, we advocate for greater transparency in the design parameters of key water structures to enable risk management, and conclude that remote sensing technology can help ensuring water infrastructure safety.Data repository corresponding to: yang2473@uwm.eduThis repository contains underlying data and code for the main manuscript figures. Data for Figure 2 is from PlanetScope. Other raw data source are also concluded as follows:The Sentinel-2 and Landsat images used in this study are accessible at https://www.sentinel-hub.com/index.html. The PlanetScope images are obtained through https://www.planet.com/. The Sentinel-1 images were acquired from https://asf.alaska.edu/. The reservoir water levels can be found at https://ipad.fas.usda.gov/cropexplorer/global_reservoir/. The GloFAS-ERA5 river discharge reanalysis data are available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/cems-glofas-historical?tab=overview.
DOI: 10.6084/m9.figshare.25447183
title: <b></b>NDVI Data for Jos Wildlife Park and surrounding areas (2000-2021)

description: This dataset contains Normalized Difference Vegetation Index (NDVI) values extracted from satellite imagery for Jos Wildlife Park and surrounding areas in Plateau State, Nigeria. The data covers a period of 20 years, from 2000 to 202 over 5-year interval.<b>Data format:</b> Comma-Separated Values (CSV)<b>Parameters:</b><b>L</b>ocation: Buffer, Edge, CoreYear: 5-year interval<b>NDVI</b>: Normalized Difference Vegetation Index value<b>Additional Information:</b>The NDVI values range from -1 to 1, with higher values indicating denser vegetation.This data can be used to assess changes in vegetation cover over time within Jos Wildlife Park and analyze the impact of various factors on the park's ecosystem.<b>Keywords:</b> NDVI, Jos Wildlife Park, Plateau State, Nigeria, vegetation cover, satellite imagery
DOI: 10.6084/m9.figshare.25447183.v1
title: <b></b>NDVI Data for Jos Wildlife Park and surrounding areas (2000-2021)

description: This dataset contains Normalized Difference Vegetation Index (NDVI) values extracted from satellite imagery for Jos Wildlife Park and surrounding areas in Plateau State, Nigeria. The data covers a period of 20 years, from 2000 to 202 over 5-year interval.<b>Data format:</b> Comma-Separated Values (CSV)<b>Parameters:</b><b>L</b>ocation: Buffer, Edge, CoreYear: 5-year interval<b>NDVI</b>: Normalized Difference Vegetation Index value<b>Additional Information:</b>The NDVI values range from -1 to 1, with higher values indicating denser vegetation.This data can be used to assess changes in vegetation cover over time within Jos Wildlife Park and analyze the impact of various factors on the park's ecosystem.<b>Keywords:</b> NDVI, Jos Wildlife Park, Plateau State, Nigeria, vegetation cover, satellite imagery
DOI: 10.5066/p13jxz6y
title: Salinas and Carmel Rivers Basin Study (SCRBS): Future Climate

description: This digital dataset contains the baseline and future climate data used as the basis for analysis of current and future water supplies and demands in the Salinas and Carmel Rivers Basin Study (SCRBS). SCRBS uses a suite of integrated hydrologic models to explore impacts of future climate and socioeconomic scenarios on water supplies and demands in the basins. SCRBS considers one baseline climate scenario that represents recent historical climate conditions and five future climate scenarios that encompass the range of uncertainty in projections of future climate conditions through the end of the 21st century. The baseline scenario was developed by removing trends from an observed historical climate dataset such that the long-term monthly mean and variance over the full period of record (1931-2015) are consistent with observed historical averages over the baseline period (1980-2009). Future climate scenarios were developed by adjusting the baseline scenario to reflect projected changes in the distributions of monthly precipitation and temperature. The five future climate scenarios reflect the range of projected changes across an ensemble of statistically downscaled climate projections: Hot-Wet (HW), Warm-Wet (WW), Hot-Dry (HD), Warm-Dry (WD), and Central Tendency (CT). Analysis of future climate conditions was based on the Localized Constructed Analogues (LOCA) dataset, which includes statistically downscaled climate projections from global climate models (Pierce and others, 2014). Baseline and future climate scenarios were spatially downscaled from a native 1/16° grid to a 270-meter grid. The data set includes daily 270-meter gridded spatially distributed daily precipitation (PPT), maximum and minimum air temperature (TMX and TMN, respectively), and potential evapotranspiration (PET) from 1/1/2016 to 12/31/2100.

Pierce, D. W., Cayan, D. R., and Thrasher, B. L., 2014, Statistical downscaling using Localized Constructed Analogs (LOCA): Journal of Hydrometeorology, v. 15, no. 6, p. 2558-2585, https://doi.org/10.1175/JHM-D-14-0082.1.
DOI: 10.6084/m9.figshare.25447144
title: Supplementary data supporting the article "Comparative Genomics of <i>Metarhizium brunneum</i> strains V275 and ARSEF 4556: Unravelling intraspecies Diversity"

description: Entomopathogenic fungi (EPF) belonging to the Order Hypocreales are renowned for their ability to infect and kill insect hosts, while their endophytic mode of life and the beneficial rhizosphere effects on plant hosts have only been recently recognised. Understanding the molecular mechanisms underlying their different lifestyles could optimise their potential as both biocontrol and biofertilizer agents, as well as the wider appreciation of niche plasticity in fungal ecology. This study describes the comprehensive Whole Genome Sequencing (WGS) and analysis of one of the most effective entomopathogenic and endophytic EPF strains, <i>Metarhizium brunneum</i> V275 (commercially known as Lalguard Met52), achieved through Nanopore and Illumina reads. Comparative genomics was conducted with a second effective EPF strain, <i>M. brunneum</i> ARSEF 4556<i>. </i>The analyses of key gene sets from both strains were extended to <i>M. brunneum</i> strain ARSEF 3297 and other species of genus <i>Metarhizium</i>, to identify molecular mechanisms and putative key genome adaptations associated with mode of life differences.<i> </i>Genome size differed significantly, with <i>M. brunneum</i> V275 having the largest genome amongst <i>M. brunneum</i> strains sequenced to date. Genome analyses revealed an abundance of plant-degrading enzymes, plant colonization-associated genes and intriguing intraspecies variations in their predicted secondary metabolic compounds and the number and localization of Transposable Elements. The potential significance of the differences found between closely related endophytic and entomopathogenic fungi, regarding plant growth-promoting and entomopathogenic abilities, are discussed, enhancing our understanding of their diverse functionalities and putative applications in agriculture and ecology
DOI: 10.34740/kaggle/dsv/7898802
title: Military_expetative_gdp
DOI: 10.25921/0ncd-ye93
title: EK80 Water Column Sonar Data Collected During GU2101
DOI: 10.24431/rw1k8e4
title: Beach seine and baited camera data for Pacific cod sampled in the GOA for NPRB Project 1806

description: This dataset contains data and collection information from beach seine and baited underwater camera work in the Gulf of Alaska and collected as a part of the North Pacific Research Board's Core Project 1806. Beach seine data describes seine locations including tidal conditions and observed habitats, and individual seine event conditions and catches. Baited camera data includes tidal information at camera locations, event logs for camera deployments, vegetation classifications for camera deployment sites, and CTD results at deployment locations. These data were presented as two MS Access databases, one for each data type, and were converted into CSV files which were then compressed into .zip archives.

Data were collected in support of NPRB project 1806 to validate and enhance a biophyscial individual-based model of juvenile Pacific cod abundance in nearshore locations in the western, central and eastern Gulf of Alaska. Sampling was conducted in July 2021. Data contains catch data from beach seines and count data from baited cameras; depth, tide, substrate and vegetation
DOI: 10.21966/1ty5-e654
title: Eelgrass Extent - Coastal British Columbia
title: Étendue de zostère marine - Côtière de la Colombie-Britannique

description: This dataset represents polygons of eelgrass on the BC coast predicted from existing geospatial datasets of seagrass extent (ShoreZone) and bathymetry.

The extent of eelgrass in British Columbia was estimated using a novel tool created for ArcGIS (the Gregrator).This tool requires 2 inputs: (1) the coastline data from Shorezone (including line shapefiles that represent the extent of eelgrass) and (2) bathymetry data. Briefly, each line segment of coast in ShoreZone is converted to points along its vertices. These points are used to generate Thiessen polygons, where each Thiessen polygon “defines an area of influence around its sample point, so that any location inside the polygons is closer to that point than any of the other sample points” (Esri, 2016). Thiessen polygons were then clipped to the extent of polygons which spanned the area from the coastline to maximum depth based on the results of the bathymetry analysis. These methods are based on those described in Gregr et al 2013. 

Gregr, E. J., Lessard, J., & Harper, J. (2013). Progress in Oceanography A spatial framework for representing nearshore ecosystems. Progress in Oceanography, 115, 189–201. http://doi.org/10.1016/j.pocean.2013.05.028

Contact data@hakai.org for more information
description: Ce jeu de données représente les polygones de zostère marine sur la côte de la Colombie-Britannique prévus à partir d'ensembles de données géospatiales existants sur l'étendue des herbiers marins (ShoreZone) et la bathymétrie.

L'étendue de la zostère marine en Colombie-Britannique a été estimée à l'aide d'un nouvel outil créé pour ArcGIS (le Grégrateur). Cet outil nécessite deux entrées : (1) les données de littoral de Shorezone (y compris les fichiers de formes linéaires qui représentent l'étendue de la zostère marine) et (2) les données bathymétriques. En bref, chaque segment de ligne de côte dans ShoreZone est converti en points le long de ses sommets. Ces points sont utilisés pour générer des polygones de Thiessen, où chaque polygone de Thiessen « définit une zone d'influence autour de son point d'échantillonnage, de sorte que tout emplacement à l'intérieur des polygones soit plus proche de ce point que n'importe quel autre point d'échantillonnage » (Esri, 2016). Les polygones de Thiessen ont ensuite été découpés selon l'étendue des polygones couvrant la zone allant du littoral jusqu'à la profondeur maximale sur la base des résultats de l'analyse bathymétrique. Ces méthodes sont basées sur celles décrites dans Gregr et al 2013. 

Gregr, E.J., Lessard, J. et Harper, J. (2013). Progrès en océanographie Cadre spatial pour la représentation des écosystèmes littoraux. Progrès en océanographie, 115, 189—201. http://doi.org/10.1016/j.pocean.2013.05.028

Contactez data@hakai.org pour plus d'informations
DOI: 10.24431/rw1k8e5
title: Individual-based model and results for Pacific Cod in the Gulf of Alaska for NPRB Project 1806

description: This dataset contains the Pacific cod individual-based model application used to run the IBM simulations from 2014-2020 in the Gulf of Alaska, IBM model results from each year, and the input files required to run the DisMELS-based IBM. Each year of IBM results are zipped together in '[YYYY]_archive.zip', where '[YYYY]' describes the simulation year. The IBM application itself is in 'PacificCodIBM_archive.zip', while the input files are in 'ModelRunFiles_archive.zip'. For information about model runs and how the field data was used to validate model results, see '1806_Final_report.docx', also included in this dataset.
DOI: 10.26030/semj-9y19
title: Astronauts plasma-derived exosomes induced gene expression in AC16 cells

description: There are unique stressors in the spaceflight environment. Exposure to such stressors is associated with adverse effects on astronauts' health, including increased cancer and cardiovascular disease risks. Small extracellular vesicles (sEVs, i.e., exosomes) play a vital role in intercellular communication and regulate various biological processes contributing to their role in disease pathogenesis. To assess whether spaceflight alters sEVs transcriptome profile, sEVs were isolated from the blood plasma of 3 astronauts at two different time points: 10 days before launch (L-10) and 3 days after return (R+3) from the Shuttle mission. Human adult ventricular cardiomyocyte cells (AC16) were treated with L-10 and R+3 astronauts-derived exosomes for 24 hours. Total RNA was isolated and analyzed for gene expression profiling using Affymetrix microarrays. Enrichment analysis was performed using Enrichr. Transcription factor enrichment analysis using the ENCODE/ChEA Consensus TF database identified gene sets related to the polycomb repressive complex 2 (PRC2) and Vitamin D receptor (VDR) in AC16 cells treated with R+3 compared to cells treated with L-10 astronauts-derived exosomes. Further analysis of the histone modifications using datasets from the Roadmap Epigenomics Project confirmed enrichment in gene sets related to the H3K27me3 repressive mark. Interestingly, analysis of previously published H3K27me3–chromatin immunoprecipitation sequencing (ChIP-Seq) ENCODE datasets showed enrichment of H3K27me3 in the VDR promoter. Collectively, our results suggest that astronaut-derived sEVs may epigenetically repress the expression of the VDR in human adult cardiomyocytes c by promoting the activation of the PRC2 complex and H3K27me3 levels. Gene expression was measured in untreated (n equals 3) and exosome-treated (n equals 6) AC16 human cardiomyocyte cell line. Cell were treated with exosomes isolated from 3 austonauts at two different time points: 10 days before mission (n equals 3) and 3 days upon return from mission (n equals 3).
DOI: 10.25345/c5g737f61
title: MassIVE MSV000094371 - C13 glucose injections effect on metabolism in mice eyes
title: Metabolism in the eye is extremely important in eye function and morphology as well as the rest of the bodies function. In this study C13 glucose injections occurred and samples were collected at varying time points post injection.
DOI: 10.5281/zenodo.10845892
title: Conjunto de dados utlizados no estudo "Cooperativas e desenvolvimento sustentável no Brasil: uma análise da contribuição para a Agenda 2030"

description: Conjunto de dados utlizados no estudo "Cooperativas e desenvolvimento sustentável no Brasil: uma análise da contribuição para a Agenda 2030" submetido a Revista Brasileira de Gestão e Desenvolvimento Regional (G&DR).

 



Aba 1: Dados brutos

Aba 2: Dados utilizados

Aba 3: Dados aglutinados

Aba 4: Amostra

Aba 5: Análise de frequência

Aba 6: Estatística descritiva

Aba 7: Teste estatístico de Kruskal-Walis e teste post-hoc


 

Os dados de autoria foram suprimidos para atender os requisitos de submissão conforme normas da revista, sendo utilizado "Autores" como nome dos autores. Após o processo de submissão, e em caso de aceitação, os dados de autoria serão alterados.
DOI: 10.5281/zenodo.10845893
title: Conjunto de dados utlizados no estudo "Cooperativas e desenvolvimento sustentável no Brasil: uma análise da contribuição para a Agenda 2030"

description: Conjunto de dados utlizados no estudo "Cooperativas e desenvolvimento sustentável no Brasil: uma análise da contribuição para a Agenda 2030" submetido a Revista Brasileira de Gestão e Desenvolvimento Regional (G&DR).

 



Aba 1: Dados brutos

Aba 2: Dados utilizados

Aba 3: Dados aglutinados

Aba 4: Amostra

Aba 5: Análise de frequência

Aba 6: Estatística descritiva

Aba 7: Teste estatístico de Kruskal-Walis e teste post-hoc


 

Os dados de autoria foram suprimidos para atender os requisitos de submissão conforme normas da revista, sendo utilizado "Autores" como nome dos autores. Após o processo de submissão, e em caso de aceitação, os dados de autoria serão alterados.
DOI: 10.5281/zenodo.10046644
title: Maintaining habitat diversity at small scales benefits wild bees and pollination services in mountain apple orchards

description: In 2021, we conducted our study in apple orchards in South Tyrol, an Alpine region in Italy, using pan-traps, direct observations of visitation frequency, and a pollinator exclusion experiment. We investigated the scale-dependent effects of landscape heterogeneity and other parameters on wild bee assemblages and the related pollination service they provide at five spatial scales (radius 100 – 2,000 m).
DOI: 10.5281/zenodo.10046643
title: Maintaining habitat diversity at small scales benefits wild bees and pollination services in mountain apple orchards

description: In 2021, we conducted our study in apple orchards in South Tyrol, an Alpine region in Italy, using pan-traps, direct observations of visitation frequency, and a pollinator exclusion experiment. We investigated the scale-dependent effects of landscape heterogeneity and other parameters on wild bee assemblages and the related pollination service they provide at five spatial scales (radius 100 – 2,000 m).
DOI: 10.7266/tydfsncd
title: Groundwater elevation level data for monitoring wells located in the Baffin Bay, Texas watershed obtained from 2020-02-07 to 2022-03-23
DOI: 10.5281/zenodo.10845917
title: Full eQTL summary statistics for the PAUSE trial

description: This dataset contains full eQTL summary statistics for the study 'Immunosuppression causes dynamic changes in expression QTLs in psoriatic skin' (Nat.Comm., 2023). The study analyzes 375 skin samples from patients with psoriasis. For each SNP-gene pair, the dataset provides information listed below.



ID: the variant identifier, with chromosome number, position, ref and alt alleles.

Estimate: estimate

Std.Error: standard error

df: degrees of freedom

t value: t-value of the association

Pr(>|t|): p-value of the association

Gene: Ensembl gene ID

CHROM: the variant chromosome
DOI: 10.5281/zenodo.10845918
title: Full eQTL summary statistics for the PAUSE trial

description: This dataset contains full eQTL summary statistics for the study 'Immunosuppression causes dynamic changes in expression QTLs in psoriatic skin' (Nat.Comm., 2023). The study analyzes 375 skin samples from patients with psoriasis. For each SNP-gene pair, the dataset provides information listed below.



ID: the variant identifier, with chromosome number, position, ref and alt alleles.

Estimate: estimate

Std.Error: standard error

df: degrees of freedom

t value: t-value of the association

Pr(>|t|): p-value of the association

Gene: Ensembl gene ID

CHROM: the variant chromosome
DOI: 10.25345/c5bg2hn1d
title: MassIVE MSV000094372 - Bianca_Tarenaya_aculeata_CR_2024
title: Study of Tarenaya aqueous extracts stems and roots.
DOI: 10.6084/m9.figshare.19583299
title: ESID

description: This is a snapshot of ESID as of April 2024.
DOI: 10.6084/m9.figshare.19583299.v2
title: ESID

description: This is a snapshot of ESID as of April 2024.
DOI: 10.34740/kaggle/dsv/7899070
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.5281/zenodo.10810027
title: IODP Expedition 378 Source rock analyzer (SRA)

description: SRA is run for the purpose of safety monitoring and yields information about thermal maturation and source of hydrocarbons, as well as petroleum potential, in the sediment or rocks at a drilled site. Samples are heated in a pyrolysis oven in an inert atmosphere to quantitatively and selectively determine free hydrocarbons contained in the sample and the hydrogen- and oxygen-containing compounds that are volatilized during the cracking of unextractable organic matter in the sample (kerogen).
DOI: 10.5281/zenodo.10810028
title: IODP Expedition 378 Source rock analyzer (SRA)

description: SRA is run for the purpose of safety monitoring and yields information about thermal maturation and source of hydrocarbons, as well as petroleum potential, in the sediment or rocks at a drilled site. Samples are heated in a pyrolysis oven in an inert atmosphere to quantitatively and selectively determine free hydrocarbons contained in the sample and the hydrogen- and oxygen-containing compounds that are volatilized during the cracking of unextractable organic matter in the sample (kerogen).
DOI: 10.5281/zenodo.10845958
title: TRANSCRIÇÕES PRAAT NARRATIVAS DE ENTERRO
DOI: 10.5281/zenodo.10845959
title: TRANSCRIÇÕES PRAAT NARRATIVAS DE ENTERRO
DOI: 10.34683/sr636
title: StoneRounds Case: SR636
title: AR Stargardt Disease

description: StoneRounds Case SR636 was diagnosed with AR Stargardt Disease likely caused by mutations in the gene: ABCA4.