cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5073/20221107-091816
title: XylFeed – Analysing DC-EPG waveform variables for European spittlebugs and sharpshooters

description: The software “XylFeed” is designed as MS Excel macro, developed to analyse essential DC-EPG (Direct Current-Electrical Penetration Graph) waveform variables for European xylem sap-feeding insects (spittlebugs and sharpshooters). DC-EPG waveforms must be manually marked in ‘Stylet+a’ (EPG Systems, Wageningen, Netherlands) or comparable software previously to allow a calculation in “XylFeed”. The software enables the analysis of the probing and feeding activities of European xylem sap-feeding insects through a calculation of sequential and non-sequential EPG variables. A detailed description of the software usage is provided in the Supplementary Material of the connected publication, while software output variables are listed and defined within the software.
DOI: 10.5073/20220321-151638
title: Data: Increased resilience of peas towards root-rot pathogens predicted by nematode metabolic footprints

description: The three attached table sets contain data from two identical long-term organically managed field trials (Exp1, Exp2) that were started in 2010 and 2011, comparing plough (~25 cm) versus shallow non-inversion tillage (i.e. minimum tillage; 5-10 cm) combined with transferred fresh mulch to potatoes. In 2019, soil samples were taken from the top 15 cm and chemical as well as biological soil characteristics including morphological identification of free-living nematodes were determined. Soils were further evaluated in a greenhouse assay for their ability to suppress pea root rot caused by Didymella pinodella, Fusarium avenaceum, and F. redolens. Table 1 “Agronomic data from pot experiments” contains all plant performance data of peas (dry and fresh matter yield, seedling mortality after transplanting, disease indices of the root and basal shoot). Data are given for each plot separately (raw data). Table 2 “Nematode family abundance” shows the morphologically identified nematode families and their abundance (nematodes in 100 ml soil) per plot. Nematode families are further characterized according to their feeding types (bacterivore, fungivore, herbivore, omnivore-carnivore) Table 3 “Bioindicators from NINJA (Nematode Indicator Joint Analysis;)” shows nematode based-bioindicators that were used in the publication and that were obtained after uploading the Table 2 to the NINJA platform (https://shiny.wur.nl/ninja/). This program automatically computes individual bioindicators based on nematode ecophysiology parameters published on the NEMAPLEX website http://nemaplex.ucdavis.edu/. The indicators were calculated for each field plot separately.
DOI: 10.5073/20220505-154819
title: Dataset: Identification and validation of QTL for WDV (Wheat dwarf virus) resistance in wheat (Triticum aestivum) Version 1

description: In this version one we added a description for chromosome numbers in the readme sheet of the xlsx-file. In addition, a correction of the the unit in the column ‘position’ of 3-Genotypic data was made. Wheat dwarf virus (WDV) causes high yield losses in wheat and other cereals. To date, there is little known about WDV resistant/tolerant varieties and no known information about genomic regions responsible for resistance is available. To identify the relevant genes, a panel of 500 wheat accessions (1-Plant material) was phenotyped after artificial inoculation in gauze houses for virus titer, infection rate, plant height, and yield parameters compared to healthy controls (2-Phenotypic data). In addition, 85 T. aestivum - Ae. tauschii introgression lines, containing different chromosome segments of Ae. tauschii, were tested via greenhouse inoculation tests. Accessions with low susceptibility to WDV were found in domesticated wheats and wild relatives. Genome-wide association studies (GWAS) of a subpanel comprising 250 hexaploid wheat cultivars genotyped with the 15k iSelect chip (3-Genotypic data) identified quantitative trait loci (QTL) for partial resistance. To validate the QTL, biparental SSD (Single Seed Descent) and DH (Double-Haploid) populations were screened for WDV resistance and genotyped using the 25k iSelect SNP chip (5-Phenotypic and genotypic data of biparental populations).
description: Dataset: Identification and validation of QTL for WDV (Wheat dwarf virus) resistance in wheat (Triticum aestivum)
DOI: 10.5073/20220203-155132
title: Dataset: Identification and validation of QTL for WDV (Wheat dwarf virus) resistance in wheat (Triticum aestivum)

description: Wheat dwarf virus (WDV) causes high yield losses in wheat and other cereals. To date, there is little known about WDV resistant/tolerant varieties and no known information about genomic regions responsible for resistance is available. To identify the relevant genes, a panel of 500 wheat accessions (1-Plant material) was phenotyped after artificial inoculation in gauze houses for virus titer, infection rate, plant height, and yield parameters compared to healthy controls (2-Phenotypic data). In addition, 85 T. aestivum - Ae. tauschii introgression lines, containing different chromosome segments of Ae. tauschii, were tested via greenhouse inoculation tests. Accessions with low susceptibility to WDV were found in domesticated wheats and wild relatives. Genome-wide association studies (GWAS) of a subpanel comprising 250 hexaploid wheat cultivars genotyped with the 15k iSelect chip (3-Genotypic data) identified quantitative trait loci (QTL) for partial resistance. 
To validate the QTL, biparental SSD (Single Seed Descent) and DH (Double-Haploid) populations were screened for WDV resistance and genotyped using the 25k iSelect SNP chip (5-Phenotypic and genotypic data of biparental populations).
DOI: 10.5073/20220302-162603
title: Dataset: Identification of candidate genes associated with tolerance to Apple Replant Disease (ARD) by genome-wide transcriptome analysis

description: Apple replant disease (ARD) is an economic risk in apple production worldwide. Several studies on the response of apple plants to ARD have been documented, but less is known about the genetic mechanisms behind this symptomatology. The aim of our work was to find differentially expressed genes in response to ARD in Malus by RNA sequencing. For this, we compared transcriptome data of the rootstock ‘M9’ (susceptible) and the wild apple genotype M. ×robusta 5 (Mr5, tolerant) after cultivation in ARD soil and disinfected ARD soil, respectively. RNAseq of the 12 root samples resulted in 549.6 million raw reads, with an average of 46 million 100-bp single ended reads per sample. After quality control, 494.1 million reads were mapped to the apple reference genome (Malus ×domestica cv. 'Golden Delicious' v1.1) and assigned to 72,569 Gene IDs (Dataset 1). Comparing ARD soil versus disinfected ARD soil, 1,206 DEGs were identified based on a log2 fold change, (LFC) ≥ 1 for up– and ≤ –1 for downregulation (p&lt; 0.05) (Dataset 2).
DOI: 10.15468/dl.umzw7m
title: Occurrence Download

description: A dataset containing 8820666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 54.085278",
 "DecimalLatitude is less than or equal to 59.085278",
 "DecimalLongitude is greater than or equal to 5.0",
 "DecimalLongitude is less than or equal to 10.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 8820666 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054129-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17042311
title: SV-AUC, FFF-MALS, SEC-SAXS datasets for "Elucidating lipid nanoparticle properties and structure through biophysical analyses"
DOI: 10.6084/m9.figshare.30889067
title: Benzofuran-stilbene hybrids spectra MestReNova

description: This file shows the spectra of a series of benzofuran-stilbene hybrids
DOI: 10.6084/m9.figshare.30889067.v1
title: Benzofuran-stilbene hybrids spectra MestReNova

description: This file shows the spectra of a series of benzofuran-stilbene hybrids
DOI: 10.6085/aa/ialixx_xxxix01xmsr01_20211201.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2021-12-03. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix01xmsr01_20211201.40.1
title: (:unkn)
DOI: 10.5281/zenodo.17154445
title: Attributing a deadly landslide disaster in Southeastern Brazil to human-induced climate change

description: This repository contains the full analytical workflow and dataset supporting the study “Attributing a deadly landslide disaster in Southeastern Brazil to human-induced climate change”. The analysis focuses on land-use and land-cover (LULC) dynamics in landslide-prone areas of Petrópolis, Rio de Janeiro, Brazil, from 1985 to 2024.

The workflow integrates Google Earth Engine (GEE) data processing, Bayesian time-series modeling, and visualization routines to quantify LULC changes and their association with landslide risk. Using MapBiomas Collection 10, a custom landslide inventory, and topographic data (SRTM DEM), the pipeline reclassifies over 60 land-cover categories into 10 consolidated classes, calculates annual class areas, generates transition matrices, and fits hierarchical Bayesian models to detect long-term trends.

The outputs include reproducible datasets, statistical summaries, and graphics illustrating forest loss, urban expansion, and their links to landslide concentration in steep terrain.

Contents





Python script (codigo_petropolis.py) compatible with Colab/Jupyter.




Annual LULC area CSVs (1985–2024) for the municipality and mapped landslide points.




Aggregated transition tables and Sankey diagrams (1985→2012→2022).




Bayesian model outputs: posterior means, HDI intervals, slope probabilities, and performance metrics.




Figures used in the article and supplementary material (bar plots, risk charts, HDI trend curves, heatmaps).



Key features





Reproducible and openly reusable workflow.




Harmonized land-cover dataset for a critical hotspot of climate-related disasters in Brazil.




Ready-to-use CSVs for further analysis in R, Python, or GIS.




Bayesian hierarchical modeling framework to assess long-term LULC trends.



Requirements





Python ≥ 3.9




Libraries: earthengine-api, geemap, pandas, numpy, matplotlib, plotly, pymc, arviz, scikit-learn




Google Earth Engine account with access to specified assets.



This dataset and code provide a valuable resource for understanding the role of land-use change in amplifying landslide risk under climate change in Southeastern Brazil.
DOI: 10.5281/zenodo.17154444
title: Attributing a deadly landslide disaster in Southeastern Brazil to human-induced climate change

description: This repository contains the full analytical workflow and dataset supporting the study “Attributing a deadly landslide disaster in Southeastern Brazil to human-induced climate change”. The analysis focuses on land-use and land-cover (LULC) dynamics in landslide-prone areas of Petrópolis, Rio de Janeiro, Brazil, from 1985 to 2024.

The workflow integrates Google Earth Engine (GEE) data processing, Bayesian time-series modeling, and visualization routines to quantify LULC changes and their association with landslide risk. Using MapBiomas Collection 10, a custom landslide inventory, and topographic data (SRTM DEM), the pipeline reclassifies over 60 land-cover categories into 10 consolidated classes, calculates annual class areas, generates transition matrices, and fits hierarchical Bayesian models to detect long-term trends.

The outputs include reproducible datasets, statistical summaries, and graphics illustrating forest loss, urban expansion, and their links to landslide concentration in steep terrain.

Contents





Python script (codigo_petropolis.py) compatible with Colab/Jupyter.




Annual LULC area CSVs (1985–2024) for the municipality and mapped landslide points.




Aggregated transition tables and Sankey diagrams (1985→2012→2022).




Bayesian model outputs: posterior means, HDI intervals, slope probabilities, and performance metrics.




Figures used in the article and supplementary material (bar plots, risk charts, HDI trend curves, heatmaps).



Key features





Reproducible and openly reusable workflow.




Harmonized land-cover dataset for a critical hotspot of climate-related disasters in Brazil.




Ready-to-use CSVs for further analysis in R, Python, or GIS.




Bayesian hierarchical modeling framework to assess long-term LULC trends.



Requirements





Python ≥ 3.9




Libraries: earthengine-api, geemap, pandas, numpy, matplotlib, plotly, pymc, arviz, scikit-learn




Google Earth Engine account with access to specified assets.



This dataset and code provide a valuable resource for understanding the role of land-use change in amplifying landslide risk under climate change in Southeastern Brazil.
DOI: 10.17605/osf.io/wr86u
title: Effects of blood flow restriction training on muscle fitness and aerobic capacity in older adults: a systematic evaluation and meta-analysis

description: This systematic review and meta-analysis aims to comprehensively evaluate the effects of blood flow restriction (BFR) training on muscle strength, muscle mass, and aerobic capacity in older adults. Despite the growing popularity of BFR training as a low-intensity exercise method to improve fitness outcomes in various populations, its efficacy and safety in older adults remain under-explored. This research intends to fill this gap by aggregating results from randomized controlled trials and observational studies that investigate the impact of BFR training on older adults' physical fitness. Key outcomes will include changes in muscle strength, hypertrophy, and aerobic endurance, along with any reported adverse effects. This evaluation will employ a rigorous methodology to ensure the reliability and validity of findings, including a comprehensive search strategy, strict inclusion and exclusion criteria, and appropriate statistical analysis techniques for synthesizing data. The anticipated results aim to inform practitioners and individuals about the potential benefits and limitations of incorporating BFR training into exercise regimens for the elderly, thereby contributing to optimized fitness and health outcomes in this demographic.
DOI: 10.6085/aa/ialixx_xxxix01xmsr01_20221120.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2022-11-23. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix01xmsr01_20221120.40.1
title: (:unkn)
DOI: 10.6085/aa/ialixx_xxxix01xmsr02_20231208.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2023-12-12. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix01xmsr02_20231208.40.1
title: (:unkn)
DOI: 10.6085/aa/ialixx_xxxix01xmsr02_20241115.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2024-11-16. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix01xmsr02_20241115.40.1
title: (:unkn)
DOI: 10.6085/aa/ialixx_xxxix03xmsr01_20231208.40.1
title: (:unkn)
DOI: 10.6085/aa/ialixx_xxxix03xmsr01_20231208.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2023-12-13. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix03xmsr01_20241115.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Alcatraz, California (IALIXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Alcatraz, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2024-11-17. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ialixx_xxxix03xmsr01_20241115.40.1
title: (:unkn)
DOI: 10.6085/aa/ibopxx_xxxix01xmsr01_20200609.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Bolinas Point, California (IBOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bolinas Point, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2020-06-14. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ibopxx_xxxix01xmsr01_20200609.40.1
title: (:unkn)
DOI: 10.6085/aa/ibopxx_xxxix01xmsr01_20220612.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Bolinas Point, California (IBOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bolinas Point, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2022-08-18. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ibopxx_xxxix01xmsr01_20220612.40.1
title: (:unkn)
DOI: 10.6085/aa/ibopxx_xxxix01xmsr02_20220612.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Bolinas Point, California (IBOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bolinas Point, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2022-08-21. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ibopxx_xxxix01xmsr02_20220612.40.1
title: (:unkn)
DOI: 10.6085/aa/ibopxx_xxxix01xmsr02_20240607.40.1
title: (:unkn)
DOI: 10.6085/aa/ibopxx_xxxix01xmsr02_20240607.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Bolinas Point, California (IBOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bolinas Point, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2024-06-10. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ibopxx_xxxix03xmsr01_20240607.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Bolinas Point, California (IBOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Bolinas Point, California by MARINe/PISCO. Measurements were collected using HOBO Tidbit MX Water Temperature 400ft Data Logger (Onset Computer Corp. MX2203) beginning 2024-06-12. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ibopxx_xxxix03xmsr01_20240607.40.1
title: (:unkn)
DOI: 10.6085/aa/ipobxx_xxxix01xmsr01_20200625.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Bonita, California (IPOBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Bonita, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2020-06-25. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ipobxx_xxxix01xmsr01_20200625.40.1
title: (:unkn)
DOI: 10.6085/aa/ipobxx_xxxix01xmsr01_20210526.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Bonita, California (IPOBXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Bonita, California by MARINe/PISCO. Measurements were collected using HOBO Pendant MX Water Temperature Data Logger (Onset Computer Corp. MX2201) beginning 2021-05-30. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 10 or 15 minute intervals.
DOI: 10.6085/aa/ipobxx_xxxix01xmsr01_20210526.40.1
title: (:unkn)
DOI: 10.6085/aa/ipobxx_xxxix01xmsr01_20240604.40.1
title: (:unkn)