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1,773 results for “Supplementary data,”
Supplementary material to the manuscript: Regionalised Heat Demand and Power-To-Heat Capacities in Germany - An Open Data Set for Assessing Renewable Energy Integration
<p>This is the supplementary material for the manuscript:</p> <p>"Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration"</p> <p>Article DOI: <a href="https://doi.org/10.1016/j.apenergy.2019.114161">https://doi.org/10.1016/j.apenergy.2019.114161</a></p> <p>Open access preprint: <a href="https://arxiv.org/abs/1912.03763">https://arxiv.org/abs/1912.03763</a></p> <p> </p> <p><strong>DESCRIPTION OF THE DATASET AND LICENSES:</strong></p> <p>The subdirectory "04_results" contains the regionalised heat demand an power-to-heat capacity data on administrative district level (NUTS-3) for Germany. The subdirectories "01_census_special_evaluation_data" and "02_other_input_data" contain the utilised input data. The subdirectory "03_code" contains the developed and applied source code.</p> <p>The data in this repository are provided under open source licenses. For license information and other general information on the supplementary material, refer to the LICENSE files and README files in the respective subdirectories.</p> <p>For a detailed description of the approach developed by the author, the input data used and the generated results, refer to the manuscript "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration".</p> <p><strong>METADATA:</strong></p> <p>Sector: Residential Buildings – Space Heating and Domestic Hot Water</p> <p>Geographical scope: Germany</p> <p>Geographical resolution: Administrative districts (NUTS-3)</p> <p>Temporal scope: 2011, three scenarios for 2030</p> <p>Temporal resolution: 15min</p> <p> </p> <p><strong>UNITS:</strong></p> <p>In the final results folders (04_results/01_installed_heating_p2h_capacity; 04_results/02_daily_time_series; 04_results/03_yearly_time_series) the units of the data are indicated in the file names or the column names, e.g. by "in_MW". In case of unit indication in the file name, the unit refers to all columns in the file.</p> <p>In the intermediate results folder (04_results/00_sql_tables_exported_to_csv) all units referring to power are "kW" and all units referring to energy are "kWh".</p> <p><strong>NEWS AND CONTACT:</strong></p> <p>This dataset will be used as part of the <a href="https://wiki.openmod-initiative.org/wiki/Region4FLEX">region4FLEX model</a>. We are currently enhancing the data by temporally and spatially resolved COP time series and determining load shifting potentials. If you wish to receive news or have general questions please contact: wilko.heitkoetter@dlr.de. </p>
Data, multiscale dataset and supplementary information for 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process'
<p>This repository contains the analytical Supplementary Information, the data, the multiscale dataset and the codes used to construct the dataset and plot figures used in the manuscript 'Pulsed fluid release from subducting slabs caused by a scale-invariant dehydration process' (accepted in Earth and Planetary Science Letters). </p> <p> </p> <p> </p>
Integration of expression datasets to identify biomarkers for accurate Gleason scoring in Prostate Cancer -- Supplementary data
<p>This dataset contains expression data from multiple sources used to identify biomarker candidates for prostate cancer aggressiveness. The data includes transcriptional expression levels, patient metadata, and other relevant features utilized in our machine-learning models. The training dataset was extracted from the repository described at Matos-Filipe, et al. (2022) [1].</p> <p>Raw ML metrics from models gaussian Naïve Bayes classifiers using this dataset are available in </p> <p> </p> <p>[1] <span><span><span>Matos-Filipe, P, et al. "</span></span></span>The usage of transcriptomics datasets as sources of Real-World Data for clinical trialling". <span>bioRxiv (</span><span>2022). </span><span><span>doi:</span> https://doi.org/10.1101/2022.11.10.515995</span></p>
Supplementary data: Breeding wheat for organic farming: can the high grain protein gene Gpc-B1 help to tackle challenges in view of end-use quality?
<p>Agronomic and quality data of organic wheat (<em>Triticum aestivum</em>), mean comparisons and supplementary figures related to the publication "Breeding wheat for organic farming: can the high grain protein gene Gpc-B1 help to tackle challenges in view of end-use quality?" by Grausgruber et al. (2024) published in the Journal of Cereal Science.</p>
Data and supplementary files of the publication: "What Goes Around Should Not Move Around: Immobilizing Microplastics as a New Approach for Analytical Ring Trials"
<p>Accompanying materials for the publication: <a href="https://doi.org/10.1021/acs.est.4c09427">https://doi.org/10.1021/acs.est.4c09427</a></p>
JGR_biogeosciences_Supplementary_Information_Field_Data
<p>The dataset is the supplementary material as an Excel file, which includes the field measurements of DOC concentration, CDOM absorption coefficient, remote-sensing reflectance, along with the corresponding coordinates, dates, and times of collection. The study area is the Plum Island Estuary in Massachusetts and the Gulf of Maine (USA).</p>
Supplementary Data: Fungal biostarter and bacterial occurrence of dry-aged beef: the sensory quality and volatile aroma compounds after 21 days of aging
<p>This dataset contains data generated during realisation of the project Tango-IV-C/0005/2019: Biostarters development for dry aged beef production, funded by National Centre for Research and Development (Poland). These data were used to prepare paper entitled "Fungal biostarter and bacterial occurrence of dry-aged beef: the sensory quality and volatile aroma compounds after 21 days of aging" by Wiesław Przybylski , Danuta Jaworska, Paweł Kresa, Grzegorz Michał Ostrowski, Magdalena Płecha, Dorota Korsak, Dorota Derewiaka, Lech Adamczak, Urszula Siekierko, Julia Pawłowska.</p>
Supplementary data for: Exergy assessment of topsoil fertility
<p>The document includes diferent tables that provides detailed information about minerals and its aboundance.</p> <p><em><span>Table C.1. Chemical exergy and the abundance in mass percentage of the more abundant and essential primary silicate minerals in soils</span></em></p> <p><em><span>Table C.2. Chemical exergy and the abundance in mass percentage of the more abundant and essential secondary silicate minerals in soils.<span> </span></span></em></p> <p><em><span><span>Table C.3. Chemical exergy and the abundance in mass percentage of the more abundant and essential other secondary silicate minerals in soils. </span></span></em></p> <p><em><span>Table C.4. Chemical exergy and abundance in mass percentage of quartz.</span></em></p>
Supplementary data to Challenges and Opportunities for the Recovery of Critical Raw Materials from Electronic Waste
<p>Content of the excell file:</p> <p>Table S1: Relationship between UNU-keys and MINCOTUR codes</p> <p>Table S2: UNU-Key composition and alpha and beta values for Weibull distributions</p> <p>Table S3: Metal prices used in this study.</p>
Supplementary Data for "Climate change may induce connectivity loss and mountaintop extinction in Central American forests"
<p>Supplementary data underlying the main figures presented in the publication "<strong>Climate change may induce connectivity loss and mountaintop extinction in Central American forests</strong>"</p>
Supplementary data for "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study"
<p>This is the base data for the retrieval of water vapor, temperature and surface temperature based on forward simulated IASI measurements in the spectral bands between 1190-1400 and 645-800 cm-1, as well as 5 channels in the atmospheric window between 901.5 and 1115.75 cm-1.</p> <p>The data includes 1599 atmospheric states over tropical ocean regions, which is a subset of the ECMWF IFS diverse profile database with focus on a broad sampling of humidity states, published by Eresmaa et al. (2014). The full dataset is also available as part of the ARTS (Atmospheric Radiative Transfer Simulator) XML database (https://radiativetransfer.org/tools/). The data also includes the forward modelled spectra in units of brightness temperatures and the associated spectral frequency grid. ARTS is used as the forward model (https://radiativetransfer.org).</p> <p>This dataset is supplementary to the article "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study" that has been submitted to Atmospheric Measurement Techniques (AMT).</p>
Supplementary material for 'Station to Station: Linking and Enriching Historical British Railway Data'
<p>Supplementary material for the <a href="https://github.com/Living-with-machines/station-to-station">station-to-station</a> Github repository, containing the underlying code and materials for the paper 'Station to Station: Linking and Enriching Historical British Railway Data', accepted to CHR2021 (Computational Humanities Research).</p> <p>Mariona Coll Ardanuy, Kaspar Beelen, Jon Lawrence, Katherine McDonough, Federico Nanni, Joshua Rhodes, Giorgia Tolfo, and Daniel C.S. Wilson. "Station to Station: Linking and Enriching Historical British Railway Data." In Computational Humanities Research (CHR2021). 2021.</p>
Supplementary data to "Changing microbial activities during low salinity acclimation in the brown alga Ectocarpus subulatus"
<p>This data set contains supplementary data related to the paper: “Insights into the potential for mutualistic and harmful host–microbe interactions affecting brown alga freshwater acclimation”: https://onlinelibrary.wiley.com/doi/10.1111/mec.16766</p> <p>Metagenome.zip:<br>This archive contains the reconstructed genomes of the different bacterial bins. The ".gbk" file was used for the reconstruction of metabolic networks. The ".fsa" and ".gff" files were used for "read mapping".</p> <p>Metabolic_networks.zip:<br>This archive contains all bacterial networks in the "padmet" format (see Aite et al. 2018). Furthermore, there is one file containing all gene-reaction associations (for all bins).</p> <p>Expression_data.zip:<br>This file contains algal gene expression data, bacterial gene expression data (number of reads mapping to each feature in each sample), and, lastly, the summarized bacterial expression per metabolic reaction. </p>
"Hydration of a clay-rich unit on Mars, comparison of orbital data to rover data" supplementary data
<p>MCMC results from individual DAN measurements from sols 1814 to 3069 used in this work with material classifications from Figure 11.</p>
Supplementary Data for abj3776
<p>Datasets used to generate figures and tables for publication</p>
Building a data curation pipeline for complex diseases: the case of Major Depression - Supplementary Material
<p>This entry contains the data generated by the study "Building a data curation pipeline for complex diseases: the case of Major Depression".</p>
Supplementary data files for exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins
<p>This dataset includes 20 supplementary data files for manuscript <em>Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins </em>by Jakub W. Wojciechowski, Emirhan Tekoglu, Marlena Gąsior-Głogowska, Virginie Coustou, Natalia Szulc, Monika Szefczyk, Marta Kopaczyńska, Sven J. Saupe, and Witold Dyrka (under revision). </p> <ul> <li>SF2. Profile HMMs of NLR effector domains. The file includes previously unpublished models.</li> <li>SF3. Multiple sequence alignments of N-termini clusters. </li> <li>SF4. Tabularized results of N-termini annotation.</li> <li>SF5. Structure prediction of HeLo-/Goodbye-/MLKL-like domains. Full AlphaFold2/ColabFold outputs.</li> <li>SF6. Structure prediction of previously unannotated domains. Full AlphaFold2/ColabFold outputs.</li> <li>SF7. PCFGs for BASS. The file includes previously unpublished grammars and a sample scanning configuration.</li> <li>SF8. Candidate short NLR N-termini with ASMs. The FASTA file includes sequences from clusters with high content of ASM-like sequences, according to the BASS PCFGs (SF7).</li> <li>SF9. Profile HMMs of ASMs found in short NLR N-termini.</li> <li>SF10. Profile HMM of HeLo-related HRAMs.</li> <li>SF11. Genomic neighbors of candidate short N-termini NLRs with ASMs The list includes accessions of proteins encoded by genes within the neighborhood of 20kbp of genes encoding the query proteins (SF8).</li> <li>SF12. Short C-termini of 200–400 aa long proteins genomically neighboring candidate short NLR N-termini with ASMs. The FASTA file concerns target proteins listed in SF11.</li> <li>SF13. Pairwise hits of the same ASMs in N-termini of NLRs and C-termini of genomically neighboring proteins. The table is based on SF8–9 and SF11–12. </li> <li>SF14. Lists of HMMER domain hits of effector domain profiles. The lists were obtained through iterative searches in NCBI “nr” starting from Pfam profiles of known NLR effector domains.</li> <li>SF15. Short C-termini of effector proteins. The FASTA file concerns target proteins listed in SF14.</li> <li>SF16. Short N-termini of Pfam NACHT and NB-ARC proteins. The FASTA file concerns proteins from NCBI “nr” associated with the two families in the Pfam database.</li> <li>SF17. Profile HMMs of ASMs found both in effector C-termini and NLR N-termini of genomically neighboring proteins.</li> <li>SF18. Genomic neighbors of candidate short N-termini Pfam NACHT and NB-ARC proteins. The list includes accessions of proteins encoded by genes within the neighborhood of 20kbp of genes encoding the query proteins (SF16).</li> <li>SF19. Pairwise hits of the same ASMs in N-termini of NACHT/NB-ARC NLRs and C-termini of genomically neighboring effector proteins. The table is based on SF15–18. </li> <li>SF20. Pairwise hits of the same ASMs in N-termini of NLRs and C-termini of genomically co-occurring effector proteins. The table is based on SF8–9 and SF15. </li> <li>SF21. BaMLKL homologs identified with hmmsearch in Basidiomycota. A FASTA file.</li> </ul>
Supplementary data
<p>Lung tissue gene expression data </p>
Supplementary Information and EBSD data for 'Intermetallic phase layers in cold metal transfer aluminium-steel welds with an Al-Si-Mn filler alloy'
<p>Supplementary information and electron backscatter diffraction (EBSD) data for the article entitled 'Intermetallic phase layers in cold metal transfer aluminium-steel joints with an Al-Si-Mn filler alloy'. There are three EBSD datasets, I-III, named "I_EBSD.dat" - "III_EBSD.dat", each with corresponding calibration and background patterns, as well as secondary electron scanning electron microscopy images showing the scanned area and text files containing the acquisition parameters. The data analysis workflow has been published on GitHub, see References.</p>
Supplementary data for: "The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia"
<p>This repository contains supplementary information and data for the paper: ""The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia", submitted to Communications Earth & Environment.</p> <p>This version (1.1) was produced to answer comments from reviewers.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.