cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25502/zsnk-kk83/d
title: Effect of local innovations on fall armyworm populations in two different agroecosystems of Cameroon

description: Assess the link between damage, abundance and yield
DOI: 10.5281/zenodo.5849767
title: Datasets for flash drought analysis in Spain (1961-2018)

description: The datasets contain information of high spatial resolution (1.21 km<sup>2</sup>) and weekly frequency in NetCDF format for flash drought analysis in mainland Spain and the Balearic Islands over the period 1961-2018, including both the Standardized Precipitation Evapotranspiration Index (SPEI) and meteorological data required for its calculation [i.e., precipitation and reference evapotranspiration (ETo)]. The precipitation and ETo datasets were created using all daily observational information of precipitation, maximum and minimum air temperature, relative humidity, sunshine duration (as a surrogate of solar radiation) and wind speed from the National Spanish Meteorological Service (AEMET). FAO-56 Penman–Monteith equation (R. G. Allen et al., 1998) was used to calculate the reference evapotranspiration (ETo), which is a spatially and temporally comparable metric for the atmospheric evaporative demand (AED). Additional details of the dataset development and validation have been described in Vicente-Serrano et al. (2017). The SPEI was computed at a 1-month time scale following the methodology proposed by Vicente-Serrano et al. (2010). References: Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). <em>Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements</em>. Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. <em>Journal of Climate</em>, <em>23</em>(7), 1696–1718. https://doi.org/10.1175/2009JCLI2909.1 Vicente-Serrano, S. M., Tomas-Burguera, M., Beguería, S., Reig, F., Latorre, B., Peña-Gallardo, M., et al. (2017). A High Resolution Dataset of Drought Indices for Spain. <em>Data</em>, <em>2</em>(3), 22. https://doi.org/10.3390/data2030022
DOI: 10.5281/zenodo.5849766
title: Datasets for flash drought analysis in Spain (1961-2018)

description: The datasets contain information of high spatial resolution (1.21 km<sup>2</sup>) and weekly frequency in NetCDF format for flash drought analysis in mainland Spain and the Balearic Islands over the period 1961-2018, including both the Standardized Precipitation Evapotranspiration Index (SPEI) and meteorological data required for its calculation [i.e., precipitation and reference evapotranspiration (ETo)]. The precipitation and ETo datasets were created using all daily observational information of precipitation, maximum and minimum air temperature, relative humidity, sunshine duration (as a surrogate of solar radiation) and wind speed from the National Spanish Meteorological Service (AEMET). FAO-56 Penman–Monteith equation (R. G. Allen et al., 1998) was used to calculate the reference evapotranspiration (ETo), which is a spatially and temporally comparable metric for the atmospheric evaporative demand (AED). Additional details of the dataset development and validation have been described in Vicente-Serrano et al. (2017). The SPEI was computed at a 1-month time scale following the methodology proposed by Vicente-Serrano et al. (2010). References: Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). <em>Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements</em>. Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. <em>Journal of Climate</em>, <em>23</em>(7), 1696–1718. https://doi.org/10.1175/2009JCLI2909.1 Vicente-Serrano, S. M., Tomas-Burguera, M., Beguería, S., Reig, F., Latorre, B., Peña-Gallardo, M., et al. (2017). A High Resolution Dataset of Drought Indices for Spain. <em>Data</em>, <em>2</em>(3), 22. https://doi.org/10.3390/data2030022
DOI: 10.21227/bz0w-zc12
title: AUTOMOTIVE ETHERNET INTRUSION DATASET

description: We created and extracted various types of In-vehicle network data for academic purposes in the Automotive Ethernet environment. The dataset contains three kinds of IVN data, i.e., AVTP, gPTP, and UDP. In particular, the UDP traffic is converted from CAN messages. The collected data were divided into two datasets. One of the datasets contained Normal driving data without an attack. The other dataset included Abnormal driving data that occurred when an attack was performed. The abnormal traffic is based on the defined five attack scenarios.  We focus on the CAN, AVB, and gPTP protocols in Automotive Ethernet. These protocols generate and transmit network traffic, such as AVB stream data, gPTP sync, and encapsulated CAN messages. These various types of network traffic pass through the 100BASE-T1 switches to reach the destination in the end. We extracted the IVN traffic data using port mirroring with the 100BASE-T1 switch while all linked nodes communicate each. Moreover, to include the CAN message in Automotive Ethernet, we extracted the IVN traffic data by converting the CAN bus traffic to UDP packets.The equipment setup used to extract vehicle data from the Automotive Ethernet environment was as follows. First, we simulated the experiment on machine with the following specs to assess the performance: 4790K CPU, 32GB RAM, and 2080 RTX GPU. Then, we used the Keras Python library for deep learning to apply the deep learning algorithm. Regarding parameter setting, we initialized ‘adam’ in the optimizer, binary cross-entropy in the loss function, and 100 epochs of the training iteration.
DOI: 10.15482/usda.adc/1524676
title: Data from polishCLR: Example input genome assemblies

description: [ NOTE - Data files added 2022-11-01:
- Test long reads - test.1.filtered.bam_.gz
- Test short reads R1 - testpolish_R1.fastq
- Test short reads R2 - testpolish_R2.fastq
- Chromosome 30 of H. zea - GCF_022581195.2_ilHelZeax1.1_chr30.fasta ]
In order to produce the best possible de novo, chromosome-scale genome assembly from error prone Pacific BioSciences continuous long reads (CLR) reads, we developed a publicly available, flexible and reproducible workflow that is containerized so it can be run on any conventional HPC, called polishCLR. This dataset provides example input primary contig assemblies to test and reproduce the demonstrated utility of our workflow.
The polishCLR workflow can be easily initiated from three input cases:
    Case 1: An unresolved primary assembly with associated contigs, the output of FALCON 2-asm: p_ctg.fasta and a_ctg.fasta
    Case 2: A haplotype-resolved but unpolished set, the output of FALCON-Unzip 3-unzip: all_p_ctg.fasta and all_h_ctg.fasta
    Case 3: A haplotype-resolved, CLR long-read, Arrow-polished set of primary and alternate contigs, the output of FALCON-Unzip 4-polish: cns_p_ctg.fasta and cns_h_ctg.fasta.
These example data are the input contigs assemblies for the pest Helicoverpa zea. These contigs are built from 49.89 Gb of raw Pacific Biosciences (PacBio) CLR data generated from a single H. zea HzStark_Cry1AcR strain male.
Adult H. zea were collected near the USDA-ARS Genetics and Sustainability Agricultural Research Unit, Starkville, MS, USA in 2011, and transported to and maintained in a colony at the USDA Southern Insect Management Unit (SIMRU), Stoneville, MS, USA as described previously. Larvae were selected on a diagnostic dose of 2.0 μg ml-1 purified Cry1Ac, and survivors used to create the strain, HzStark_Cry1AcR.  HzStark_Cry1AcR was back-crossed every 5 generations to a susceptible line maintained at USDA-ARS SIMRU.
A single male pupa (homogametic, ZZ sex chromosome) from HzStark_Cry1AcR was dissected laterally into eight ~20 μg sections.  High molecular weight DNA was extracted. PacBio libraries were generated from unsheared DNA using a SMRTbell Express Template Prep Kit 2.0 (Pacific Biosciences, Menlo Park, CA, USA), and 20 hour run time movies generated on a single SMRT Cell 1M v3 using the Sequel I system (Pacific Biosciences).
The raw continuous long read (CLR) subread bam files were converted to fastq format using bamtools v. 2.5.1 (Barnett et al. 2011), then used as input for the Falcon assembler (Chin et al. 2016) using the pb-assembly conda environment v. 0.0.8.1 (Pacific Biosciences; default parameters). Falcon-Unzip created primary and alternate contigs with one round of haplotype-aware polishing by Arrow (Pacific Biosciences).
DOI: 10.6084/m9.figshare.21445416.v1
title: Data file for "Education Reform in Tennessee: Spending Money on What Matters"

description: Data file for: Joshua Hall and Ashley Harrison, “Education Reform in Tennessee: Spending Money on What Matters,” in <em>Freedom and Prosperity in Tennessee</em>, J.R. Clark, editor Chattanooga: Scott L. Probasco Chair of Free Enterprise, 2012: 155-171.
DOI: 10.6084/m9.figshare.21445416
title: Data file for "Education Reform in Tennessee: Spending Money on What Matters"

description: Data file for: Joshua Hall and Ashley Harrison, “Education Reform in Tennessee: Spending Money on What Matters,” in <em>Freedom and Prosperity in Tennessee</em>, J.R. Clark, editor Chattanooga: Scott L. Probasco Chair of Free Enterprise, 2012: 155-171.
DOI: 10.6084/m9.figshare.21445416.v3
title: Data file for "Education Reform in Tennessee: Spending Money on What Matters"

description: Data file for: Joshua Hall and Ashley Harrison, “Education Reform in Tennessee: Spending Money on What Matters,” in <em>Freedom and Prosperity in Tennessee</em>, J.R. Clark, editor Chattanooga: Scott L. Probasco Chair of Free Enterprise, 2012: 155-171.
DOI: 10.6084/m9.figshare.21445416.v2
title: Data file for "Education Reform in Tennessee: Spending Money on What Matters"

description: Data file for: Joshua Hall and Ashley Harrison, “Education Reform in Tennessee: Spending Money on What Matters,” in <em>Freedom and Prosperity in Tennessee</em>, J.R. Clark, editor Chattanooga: Scott L. Probasco Chair of Free Enterprise, 2012: 155-171.
DOI: 10.6084/m9.figshare.21445452
title: RE8000.tar.gz

description: TBL Re_theta up to 8300
DOI: 10.6084/m9.figshare.21445452.v1
title: RE8000.tar.gz

description: TBL Re_theta up to 8300
DOI: 10.5281/zenodo.7271764
title: Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions_experimental dataset

description: This dataset contains the raw unprocessed experimental data for Maniš et al., Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions, https://pubs.rsc.org/en/content/articlelanding/2022/NA/D2NA00175F
description: We acknowledge the support by the Czech Science Foundation (grant no. 20-28573S), European Commission (H2020- Twininning project no. 810626 – SINNCE, M-ERA NET HYSUCAP/TACR-TH71020004), BUT – specic research no. FSIS- 20-6485, and Ministry of Education, Youth and Sports of the Czech Republic (CzechNanoLab Research Infrastructure – LM2018110).
DOI: 10.5281/zenodo.7271763
title: Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions_experimental dataset

description: This dataset contains the raw unprocessed experimental data for Maniš et al., Low temperature 2D GaN growth on Si(111) 7 x 7 assisted by hyperthermal nitrogen ions, https://pubs.rsc.org/en/content/articlelanding/2022/NA/D2NA00175F
description: We acknowledge the support by the Czech Science Foundation (grant no. 20-28573S), European Commission (H2020- Twininning project no. 810626 – SINNCE, M-ERA NET HYSUCAP/TACR-TH71020004), BUT – specic research no. FSIS- 20-6485, and Ministry of Education, Youth and Sports of the Czech Republic (CzechNanoLab Research Infrastructure – LM2018110).
DOI: 10.6084/m9.figshare.21445464
title: Mental Health Dataset.sav

description: This dataset is used for the analysis of study results
DOI: 10.6084/m9.figshare.20219024
title: Carbon Monitor Europe, a near-real-time and country-level monitoring of daily CO2 emissions for European Union and the United Kingdom

description: We present a new near-real-time dataset of fossil fuel and cement emissions to monitor daily, country-level emissions from January 2019 through December 2021 for 27 European Union countries and the United Kingdom. This dataset is called Carbon Monitor Europe. The data are calculated separately for six sectors: power, industry (incl. cement production), ground transportation, domestic aviation, international aviation, residential emissions which includes the built environment. Latest updates and related information are available for view and download on our website https://eu.carbonmonitor.org/.
DOI: 10.6084/m9.figshare.21440943
title: Cellarcus ISEV submission 103122

description: Data, data analysis template, method details and report of vFC analysis of Sigma GFP EVs for the ISEVxTech study.
DOI: 10.6084/m9.figshare.21440943.v2
title: Cellarcus ISEV submission 103122

description: Data, data analysis template, method details and report of vFC analysis of Sigma GFP EVs for the ISEVxTech study.
DOI: 10.6084/m9.figshare.21440943.v1
title: Cellarcus ISEV submission 103122

description: Data, data analysis template, method details and report of vFC analysis of Sigma GFP EVs for the ISEVxTech study.
DOI: 10.34683/sr2368
title: StoneRounds Case: SR2368
title: SECORD

description: StoneRounds Case SR2368 was diagnosed with SECORD likely caused by mutations in the gene: CEP290.
DOI: 10.5281/zenodo.7271747
title: Forouli et al.,2022_SoftwareX_DATASET

description: This dataset contains the underlying data (Augmecon-Py data) for the journal article by Forouli et al., 2022 published in SoftwareX in October 2022.
DOI: 10.5281/zenodo.7271746
title: Forouli et al.,2022_SoftwareX_DATASET

description: This dataset contains the underlying data (Augmecon-Py data) for the journal article by Forouli et al., 2022 published in SoftwareX in October 2022.
DOI: 10.5066/p9r877q8
title: High Resolution Daily Global Alfalfa-Reference Potential Evapotranspiration Climatology

description: Global alfalfa-reference potential evapotranspiration (ETr) is a key model parameter in actual evapotranspiration (ETa) modeling for worldwide applications. This dataset was constructed for use with the Operational Simplified Surface Energy Balance (SSEBop) model as a key driver of the final ETa magnitude. SSEBop is a parametric energy balance-based model that determines actual ET as the product of two independent estimates: 1) the SSEBop modeled ET fraction (ETf), an index nominally varying between 0 and 1 and derived from observed Landsat surface temperature using satellite psychrometry, and 2) the potential ET (maximum) under environmental conditions for an alfalfa crop (in millimeters). As SSEBop ETf can now be modeled for any Landsat scene across the globe, a suitable global ETr climatology dataset needed to be created. This global ETr data is a fusion of several different remote sensing and modeling products: 1981-2010 climatological normal (daily mean) ETr from Gridmet over the continental United States and 1981-2010 climatological normal MERRA-2 Fine Resolution ETr for all areas outside of the continental United States that has been scaled and corrected via terrestrial ecoregions from OneEarth and scaled using Worldclim Version 3 ETo (Abatzoglou 2013; Dinerstein et al., 2017; Hobbins et al., 2022; Zomer et al., 2022). The final mosaic has been smoothed and resampled to 1-km spatial resolution. The final dataset is a daily dataset of 366 GeoTIFF raster files for each day of the year including the leap day and representing a climatological normal (1981-2010) alfalfa-reference potential ET (ETr) for the entire global extent. Each raster has been scaled so multiply each day by a factor of 0.01 to scale it to millimeters.
DOI: 10.6084/m9.figshare.21445398
title: graphs.rar

description: Graphs for graph partitioning problems with constraints
DOI: 10.6084/m9.figshare.21445398.v1
title: graphs.rar

description: Graphs for graph partitioning problems with constraints
DOI: 10.15129/8da49741-31b6-46ad-9649-38791c6a84c7
title: Data for: "Measuring Proteins in H2O using 2D-IR Spectroscopy; Pre-Processing Steps and Applications towards a Protein Library"

description: This dataset contains 2D-IR spectra, in csv format. Six folders exist, two for each case study containing the raw data and the fully pre-processed data (as described in the publication, however spectral normalisation to the protein amide I has not performed in the AGR and Glycine datasets). Each spectrum is a matrix whereby the columns denote the pump (excitation) axis and the rows are the probe (detection) axis. For the protein library, each sample has two corresponding spectra at two different waiting times (0.25 and 5.0) and is allocated a number in order to identify correct pairs for each sample.
DOI: 10.6084/m9.figshare.21441633
title: U646 EV Test B2 G3000 SSC G1600 Analyzed

description: Analyzed data set based on RAW data.
DOI: 10.6084/m9.figshare.21441633.v1
title: U646 EV Test B2 G3000 SSC G1600 Analyzed

description: Analyzed data set based on RAW data.
DOI: 10.6084/m9.figshare.21445620
title: Planilha ACM

description: Planilha de resultado após rodar no Spad.
DOI: 10.6084/m9.figshare.21445620.v1
title: Planilha ACM

description: Planilha de resultado após rodar no Spad.
DOI: 10.5281/zenodo.7271703
title: Root:shoot ratio GWAS Arabidopsis 250k SNP mapping

description: The Genome Wide Association Study output files mapped using the root:shoot ratio data collected on Arabidopsis HapMap population. The GWAS was run using the ASReml script as described in Awlia et al., 2021 (https://doi.org/10.1111/tpj.15310). The GWAS analysis was performed by Magdalena Julkowska at King Abdullah University during her postdoc in the group of Dr. Mark Tester.
DOI: 10.5281/zenodo.7271751
title: Root:shoot ratio GWAS Arabidopsis 250k SNP mapping

description: The Genome Wide Association Study output files mapped using the root:shoot ratio data collected on Arabidopsis HapMap population. The GWAS was run using the ASReml script as described in Awlia et al., 2021 (https://doi.org/10.1111/tpj.15310). The GWAS analysis was performed by Magdalena Julkowska at King Abdullah University during her postdoc in the group of Dr. Mark Tester.
DOI: 10.6084/m9.figshare.21445623
title: Planilha de dados para ACM

description: Planilha com categorização dos Tribunais e dados que foram inseridos no Spad.
DOI: 10.6084/m9.figshare.21445623.v1
title: Planilha de dados para ACM

description: Planilha com categorização dos Tribunais e dados que foram inseridos no Spad.
DOI: 10.6084/m9.figshare.21445617.v1
title: Teste de Fidedignidade

description: Teste de Fidedignidade das categorias criadas na Dissertação.
DOI: 10.5281/zenodo.7271852
title: QMC Raw Data for Superfulid Helium Adsorbed on Strained Graphene

description: Data Summary Raw data of path integral Monte Carlo simulation for phase diagram analysis of atomic helium adsorbed on isotropically strained graphene.<br> For more details, please check README.md on Github repository lindenset.zip Raw data for linear density plot Corresponds to lindenset.ipynb OUTPUT_largebox.zip Raw data for simulations with N_ad = 144 Corresponds to LargeBoxSim.ipynb OUTPUT_phase.zip Raw data for analysis of adsorption phases Corresponds to AdsorptionPhaseAnalyzer.ipynb OUTPUT_T1set.zip Raw data for analysis of PIMC phase diagram Corresponds to T1comm_phases.ipynb OUTPUT_vacuum.zip Raw data for analysis of vacuum phase boundary Corresponds to VacuumFinder.ipynb
DOI: 10.5281/zenodo.7271851
title: QMC Raw Data for Superfulid Helium Adsorbed on Strained Graphene

description: Data Summary Raw data of path integral Monte Carlo simulation for phase diagram analysis of atomic helium adsorbed on isotropically strained graphene.<br> For more details, please check README.md on Github repository lindenset.zip Raw data for linear density plot Corresponds to lindenset.ipynb OUTPUT_largebox.zip Raw data for simulations with N_ad = 144 Corresponds to LargeBoxSim.ipynb OUTPUT_phase.zip Raw data for analysis of adsorption phases Corresponds to AdsorptionPhaseAnalyzer.ipynb OUTPUT_T1set.zip Raw data for analysis of PIMC phase diagram Corresponds to T1comm_phases.ipynb OUTPUT_vacuum.zip Raw data for analysis of vacuum phase boundary Corresponds to VacuumFinder.ipynb
DOI: 10.6084/m9.figshare.21445683
title: Data sharing.docx

description: Qualitative interview data with sexual minority women
DOI: 10.6084/m9.figshare.21445683.v1
title: Data sharing.docx

description: Qualitative interview data with sexual minority women
DOI: 10.5281/zenodo.7271870
title: Golden Agents / RKD - Bredius Notes

description: Data from the RKD's Bredius Notes project, enriched with information from and links to the Golden Agents project (https://www.goldenagents.org/).
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.5281/zenodo.7271871
title: Golden Agents / RKD - Bredius Notes

description: Data from the RKD's Bredius Notes project, enriched with information from and links to the Golden Agents project (https://www.goldenagents.org/).
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.5281/zenodo.7271869
title: Scalability for SAT-based combinatorial problem solving - Results

description: The experimental results for the referenced thesis.
DOI: 10.5281/zenodo.7271868
title: Scalability for SAT-based combinatorial problem solving - Results

description: The experimental results for the referenced thesis.
DOI: 10.6084/m9.figshare.21445677
title: Carcinus maenas Hiat1 dataset

description: Data for figures in manuscript "Hiat1 – a new transporter involved in ammonia regulation"
DOI: 10.6084/m9.figshare.21445677.v1
title: Carcinus maenas Hiat1 dataset

description: Data for figures in manuscript "Hiat1 – a new transporter involved in ammonia regulation"
DOI: 10.6084/m9.figshare.14054007.v3
title: Integrating efficacy and safety of vedolizumab compared with other advanced therapies to assess net clinical benefit of ulcerative colitis treatments: a network meta-analysis

description: Because only one head-to-head randomized trial of biologics for moderate-to-severe UC has been performed, indirect treatment comparisons remain important. This systematic review and network meta-analysis examined efficacy and safety of biologics and tofacitinib for moderate-to-severe UC, using vedolizumab as reference. Relevant studies (N = 19) of vedolizumab, adalimumab, infliximab, golimumab, ustekinumab, and tofacitinib were identified. Study design differences were addressed by assessing efficacy outcomes conditional on response at maintenance initiation. Primary analysis used fixed-effect models to estimate odds ratios for efficacy and safety endpoints. Compared with vedolizumab 300 mg, adalimumab 160/80 mg was associated with less clinical remission (odds ratio, 0.69 [95% credible interval, 0.54–0.88]), and infliximab 5 mg/kg was associated with more clinical remission (1.67 [1.16–2.42]) and response (1.63 [1.15–2.30]). Adalimumab 40 mg, golimumab 50 mg, and ustekinumab 90 mg Q12W had significantly lower clinical remission rates during maintenance (0.62 [0.45–0.86], 0.55 [0.32–0.95], and 0.59 [0.35–0.99]) versus vedolizumab 300 mg Q8W. Response results were similar. Tofacitinib 10 mg had the highest maintenance treatment efficacy estimates and highest infection risk. Network meta-analysis and novel integrated benefit-risk analysis suggest a potentially favorable efficacy-safety balance for vedolizumab vs adalimumab and other advanced UC therapies.