Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,467
datasets available to search
ShareScore release 0.9.0
Dataset results
6,467 results for “process”
Sarcoidosis Microbiome Post-Processed Sequence Data
<p>16S, ITS, virome and shotgun sequencing data after demultiplexing, quality control, OTU formation (if relevant) and taxonomic assignment for the sarcoidosis microbiome project.</p> <p>This is intended to be used in conjunction with the code at https://github.com/eclarke/sarcoid-microbiome-paper to reproduce the analysis performed for the associated paper (citation pending acceptance/publication).</p> <p> </p> <p> </p>
Developmental Changes in the Categorical Processing of Positive and Negative Facial Expressions
<p>Categorical biases in the processing of emotional facial expression have been the subject of much debate in the literature. Opposing views on this topic claim either that positive or negative facial expressions enjoy improved processing in the human brain. The developmental changes in the processing advantages of positive and negative facial expressions are also disputed, with studies using varying paradigms showing seemingly contradictory results. Therefore, to further investigate the development of categorical processing and extraction of emotional information from faces, we tested 6-, 9-, and 12-year-old children, as well as adults, on their ability to categorize various facial expressions as positive or negative as quickly as possible. This was a simplified paradigm designed to explicitly contrast the processing efficiency of positive and negative facial expressions on the broader level of those emotional valence categories, rather than specific single emotional expressions. Our results show an early age processing advantage for positive facial expressions, which disappears in adults who show no such differences in the case of response time measures. In the case of accuracy measures, the early advantage for positive facial expressions gradually disappears, and is reversed into a negativity advantage in adults. These findings demonstrate that category-based positive and negative processing advantages are strongly modulated by age over the course of development, and can exhibit opposite effects depending on the developmental stage of the participant. Here we archive the accuracy and and response time data used for our publication.</p>
Data of 3D MHD Simulation for manuscript "Characteristics of Transpolar Arc Motion and its Corresponding Magnetospheric Dynamic Process"
<p>Data of 3D MHD Simulation for manuscript "Characteristics of Transpolar Arc Motion and its Corresponding Magnetospheric Dynamic Process"</p> <p>There are 6 types of data files:</p> <p>1) -3)MHD simulation results for FAC, plasma density, and temperature, projected at the x = -40RE position, with the viewpoint from the magnetotail towards the earth</p> <p>4) FAC mapping.rar. These data are the parametters in the plane of about Z=0 RE, which were mapped to the 7.2 Re, along the magnetic field lines.</p> <p>5) The simulation results of the model are plotted for FAC on Z=0RE.</p> <p>The results of the above data simulation plot are from 20171115 23:00 UT to 20171116 02:00 UT.</p> <p>6) XXBDd0142.rar, which is full 3D Simulation data at 2017.11.16 01:22 UT;</p> <p>All of these data include the following parameters:</p> <p>time, x, y, z, logrho, Vx, Vy, Vz, Bx, By, Bz, Pr, Jx, Jy, Jz, Edj</p> <p>7) SSUSI data at 2017.11.16.</p> <p> </p>
A catalytic process for the production of the polar aprotic solvent diformylxylose using supported heteropoly acids
<p><strong><span>Abstract: </span></strong><span>Diformylxylose (DFX) has been proven to be a good green alternative for fossil based polar aprotic solvents. It possesses similar performance to commercial Solvents (DMSO, DMF, NMP) in hydrogenation or cross coupling reactions, and due to its chemical properties DFX can be characterized as a green solvent. In this paper we show how DFX can be produced in a catalytical way by using immobilized heteropoly acids as solid catalysts. We demonstrate the catalyst development and compare it with commercially available solid acid catalysts. Further we applied the new designed catalyst in the acetalization of xylose with paraformaldehyde where we achieved DFX yields of up to 70%. The catalyst can be easily separated from the reaction by filtration and shows good reusability over 4 runs, with constant activity and high DFX yields.</span></p>
Atmospheric Surface Flux Station #50 measurements (level 2 Processed), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), October 2021-June 2023
<p>Processed (Level 2) measurements and derived variables from the Atmospheric Surface Flux Station #50 (ASFS-50) deployed at the Avery Picnic site (38°58.3455' N, 106°59.8113' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from October 2021 through June 2023. The ASFS measured variables of the surface energy budget, momentum flux, near-surface meteorology, and soil properties. Measurements of high-resolution 3-dimensional winds were observed at a nominal height of 4.6 m (depending on snow depth). Measurements of upwelling broadband radiation and meteorology observed from a nominal height of 2.9 m. The measurements are included in three netCDF files per day. The "sledmet" files are comprised of 1-min averages of measured and derived variables, including near-surface meteorology, surface skin temperature, snow depth, radiative fluxes, and conductive fluxes. The "sledseb" files are 10-min averages of the same variables as in the 1-min files and also include calculations of turbulent sensible and latent heat fluxes, momentum flux, and associated diagnostics, surface stress, and Monin-Obukhov parameters using both eddy covariance and bulk methodologies, all valid for the 10-min intervals. Both of these file types also contain a "_qc" variable paired with each measurement variable, or family of variables, that is a temporally-matched quality control code: 0 = good data, 1 = caution (data may be suspect), 2 = bad data, and -1 = missing (no data was collected). The "10hz" files include 3-dimensional winds and gas densities of water vapor and carbon dioxide that are quality-controlled, aggregated to a regular 10-Hz temporal grid, and (for winds) rotated into the earth coordinate frame. A detailed documentation of the measurement conditions, the processing steps taken to construct this data set, and other caveats and uncertainties will be provided in an accompanying published data manuscript.</p> <p>Note on update: v2_1 update provides double rotation ("dbl") turbulent fluxes in addition to planar fit ("pf"), as well as corrects a rotation problem with the v2 data that primarily affects the momentum fluxes. v2_1 only includes updates for the sledseb file set: for sledmet and sledwind10hz, continue to refer to v2 data set.</p>
Atmospheric Surface Flux Station #30 measurements (level 2 Processed), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), September 2021-July 2023
<p>Processed (Level 2) measurements and derived variables from the Atmospheric Surface Flux Station #30 (ASFS-30) deployed at the Kettle Ponds Annex site (38°56.3686' N, 106°58.1781' W) during the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign near Gothic, Colorado, from September 2021 through July 2023. The ASFS measured variables of the surface energy budget, momentum flux, near-surface meteorology, and soil properties. Measurements of high-resolution 3-dimensional winds were observed at a nominal height of 4.6 m (depending on snow depth). Measurements of upwelling broadband radiation and meteorology observed from a nominal height of 2.9 m. The measurements are included in three netCDF files per day. The "sledmet" files are comprised of 1-min averages of measured and derived variables, including near-surface meteorology, surface skin temperature, snow depth, radiative fluxes, and conductive fluxes. The "sledseb" files are 10-min averages of the same variables as in the 1-min files and also include calculations of turbulent sensible and latent heat fluxes, momentum flux, and associated diagnostics, surface stress, and Monin-Obukhov parameters using both eddy covariance and bulk methodologies, all valid for the 10-min intervals. Both of these file types also contain a "_qc" variable paired with each measurement variable, or family of variables, that is a temporally-matched quality control code: 0 = good data, 1 = caution (data may be suspect), 2 = bad data, and -1 = missing (no data was collected). The "10hz" files include 3-dimensional winds and gas densities of water vapor and carbon dioxide that are quality-controlled, aggregated to a regular 10-Hz temporal grid, and (for winds) rotated into the earth coordinate frame. A detailed documentation of the measurement conditions, the processing steps taken to construct this data set, and other caveats and uncertainties will be provided in an accompanying published data manuscript.</p> <p>Note on update: v2_1 update provides double rotation ("dbl") turbulent fluxes in addition to planar fit ("pf"), as well as corrects a rotation problem with the v2 data that primarily affects the momentum fluxes. v2_1 only includes updates for the sledseb file set: for sledmet and sledwind10hz, continue to refer to v2 data set.</p>
Dataset of light microscopy and image processing for ruthenium red staining - Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants
<p>This contains additional data relative to version 1, corresponding to a new versio of the manuscript. </p> <p>This dataset contains darkfield light microscopy images from ruthenium red stained <em>Arabidopsis thaliana </em>dark grown hypocotyls of various wildtype and mutant plants, along with the prossessing and quantified data (including segmented masks, corrected masks, raw quantification and processed quantification) reported in the study "Rhamnogalacturonan-II dimerization deficiency impairs the coordination between growth and adhesion maintenance in plants" (<a href="https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1">https://www.biorxiv.org/content/10.1101/2024.11.26.625362v1</a>). Data was acquired following the method described in the publication. Processing of the raw data was perfomed using the RRQuant workflow (<a href="https://doi.org/10.5281/zenodo.14173186">10.5281/zenodo.14173186</a>).</p>
Dataset: The Role and Lifetime of Dissociative Heterogeneous Processes in Improving Simulated Ozone on Mars
<p>VERSION 1:</p> <p>Dataset for the manuscript 'The Role and Lifetime of Dissociative Heterogeneous Processes in Improving Simulated Ozone on Mars'. The four netcdf files contain the full outputs to the MGCM for sols 7351-7381 (approximately Ls = 0 - 14, MY 35) with all chemical tracers:</p> <ul> <li>fullry_0_diagfi : 0% release dataset</li> <li>fullry_50_diagfi : 50% release dataset</li> <li>fullry_100_diagfi : 100% release dataset</li> <li>fullry_control_diagfi : control (gas only) dataset</li> </ul> <p>The MGCM values which match locations of observed ozone and water vapour TCA, as well as the observations themselves are found in df_nadir_gcm_vapo3_hyb_spin_20230829.pkl. </p> <p> </p> <p>VERSION 2:</p> <p>Also uploaded are the data for sols 7501-7531 (Ls = 68 - 82, MY 35):</p> <ul> <li>d7501-7531_control_diagfi : control (gas only) dataset</li> <li>d7501-7531_50_diagfi : 50% release dataset</li> </ul> <p> </p> <p>VERSION 3:</p> <p>Uploaded are data for sols 7621-7651 (Ls = 124 - 138, MY 35)</p> <ul> <li>d7621-7651_control_diagfi : control (gas only) dataset</li> <li>d7621-7651_50_diagfi : 50% release dataset</li> </ul> <p> </p>
A Novel Flow Shop Batch Scheduling Model for Subtractive Processing in Electronic Product Manufacturing
<p>The data is randomly generated based on real manufacturing enviroment. The data is used to evaluate the performance of algorithms proposed in our research.</p>
LMDZ6iso output - Antarctic water stable isotopes in the global atmospheric model LMDZ6: from climatology to boundary layer processes
<h3><strong>Update of the Simulation</strong></h3> <p dir="ltr">This archive contains the output of a revised simulation, addressing issues identified in the original simulation described in the following article:</p> <p><em>Dutrievoz, N., Agosta, C., Risi, C., Vignon, É., Nguyen, S., Landais, A., ... & Prié, F. (2025). Antarctic water stable isotopes in the global atmospheric model LMDZ6: From climatology to boundary layer processes. Journal of Geophysical Research: Atmospheres, 130(5), e2024JD042073.</em></p> <p>All information is available here:<strong> <a href="https://docs.google.com/document/d/1x4FSGtNiJGqsMoks38yATzTQJ7T8sO8iXqeWagTU5yE/edit?usp=sharing">README</a></strong></p> <p>Researchers and colleagues are welcome to contact me at <strong>niels.dutrievoz@lsce.ipsl</strong>.<strong>fr</strong> for any further information regarding this updated simulation or potential collaborations. Please feel free to reach out if you are interested in daily or hourly output data from this simulation.</p> <p dir="ltr">I look forward to any exchanges that might arise from this work.</p> <p> </p>
Datasets used in "Dry Deposition of Ozone over Land: Processes, Measurement, and Modeling"
Datasets used in creation of original figures in Clifton, O. E., A. M. Fiore, W. J. Massman, C. B. Baublitz, M. Coyle, L. Emberson, S. Fares, D. K. Farmer, P. Gentine, G. Gerosa, A. Guenther, D. Helmig, D. L. Lombardozzi, J. W. Munger, E. G. Patton, S. E. Pusede, D. B. Schwede, S. J. Silva, M. Sörgel, A. L. Steiner, & A. P. K. Tai (2020). Dry deposition of ozone over land: processes, measurement and modeling. Reviews of Geophysics. Three datasets contain observational data pulled from peer-reviewed literature (stomatal fractions of ozone dry deposition, ozone flux datasets, and ozone deposition velocities over snow-covered surfaces) and one dataset contains processed data from NOAA GFDL atmospheric model version 3 (AM3) not yet available elsewhere.
Global (2M) SARS-CoV-2 genomes dataset, from Viridian, processed with MAPLE0.6.11
Open the record for dataset details and reuse information.
Ionospheric Electron Densities, Neutral Temperature, Winds and Post-processed Output from TIEGCM Simulations in Support of Publication "Physical Processes Driving the Response of the F2-region Ionosphere to the 21 August 2017 Solar Eclipse at Millstone Hill"
This dataset is associated with the publication "Physical Processes Driving the Response of the F2-region Ionosphere to the 21 August 2017 Solar Eclipse at Millstone Hill". In particular, the NCAR- Community model: high-resolution thermosphere-ionosphere-electrodynamics general circulation model (TIEGCM) has been used to investigate the response of ionospheric F2-region electron density (Ne) at Millstone Hill (42.610N, 71.480W, maximum obscuration: 63%) to the Great American Solar Eclipse on 21 August 2017. Two sets of model runs were done, one with the eclipse and the other without. Model outputs of winds, temperatures and electron densities, as well as diagnostic variables of key chemical and physical processes that determined the ionosphere responses to the eclipse, were analyzed and used in producing a paper: Physical Processes Driving the Response of the F2-region Ionosphere to the 21 August 2017 Solar Eclipse at Millstone Hill.
Selected and Post-Processed Outputs of LFM-TIEGCM-RCM Simulation of 2013 March 17 Event
This dataset is associated with the publication "SAPS in the 2013 March 17 Storm Event: Initial Results from the Coupled Magnetosphere-Ionosphere-Thermosphere Model". In particular, the NCAR Community Model: Coupled Magnetosphere-Ionosphere-Thermosphere (CMIT) with Ring Current extension, which is also known as the LFM-TIEGCM-RCM (LTR) model, has been used to investigate the subauroral polarization streams during the 2013 March 17 storm event. The LTR model was driven by realistic solar wind conditions for 2013 March 17. Model outputs of ionospheric electron precipitation energy flux, ion zonal drifts, field-aligned currents, electrostatic potential, conductances, total electron content, as well as diagnostic variables of key features of SAPS were analyzed and used in producing a paper: 'SAPS in the 2013 March 17 Storm Event: Initial Results from the Coupled Magnetosphere-Ionosphere-Thermosphere Model'.
Supplementary Data for "Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes"
<p>This package contains supplementary data not directly included in the paper, including per-commit results for each prototype and the prompts used in the proof-of-concept implementations.</p>
Data bundle for egon-data: A transparent and reproducible data processing pipeline for energy system modeling
<p><strong>egon-data</strong> provides a transparent and reproducible open data based data processing pipeline for generating data models suitable for energy system modeling. The data is customized for the requirements of the research project <strong>eGon</strong>. The research project aims to develop tools for an open and cross-sectoral planning of transmission and distribution grids. For further information please visit the eGon <a href="https://ego-n.org/">project website</a> or its <a href="https://github.com/openego/eGon-data">Github repository.</a></p> <p>egon-data retrieves and processes data from several different external input sources. As not all data dependencies can be downloaded automatically from external sources we provide a data bundle to be downloaded by egon-data.</p> <p>The following data sets are part of the available data bundle:</p> <ol> <li> <p><strong>climate_zones_germany</strong></p> <ul> <li> <p>Climate zones in Germany</p> </li> <li> <p>source: Own representation based on DWD TRY climate zones</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>cutouts</strong></p> <ul> <li> <p>Weather data from Europe in 2011. Source: ERA5</p> </li> </ul> </li> <li> <p><strong>demand_regio_backup</strong></p> <ul> <li> <p>Electricity and heat demands</p> </li> </ul> </li> <li> <p><strong>emobility</strong></p> <ul> <li> <p>Data on eMobility mit_trip_data:<br>motorized individual travel - individual trips of electric vehicles (EV) generated with a modified version of simBEV v0.1.3 (https://github.com/rl-institut/simbev/tree/1f87c716d14ccc4a658b8d2b01fd12b88a4334d5). simBEV generates driving profiles for BEVs and PHEVs based upon MID data (BMVI) per RegioStaR7 region type (BBSR).</p> </li> <li> <p>Reiner Lemoine Institut, June 2022</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>entsoe</strong></p> <ul> <li> <p> </p> </li> </ul> </li> <li> <p><strong>gas_data</strong></p> <ul> <li> <p>CH4 infrastructure</p> </li> <li> <p>Biogas demand</p> </li> <li> <p>CH4 demand</p> </li> <li> <p>Source: SciGRID_gas</p> </li> </ul> </li> <li> <p><strong>geothermal_potential</strong></p> <ul> <li> <p>Spatial distribution of deep geothermal potentials in Germany</p> </li> <li> <p>source: <a href="https://doi.org/10.3390/en11020332">Assessment and Public Reporting of Geothermal Resources in Germany: Review and Outlook</a></p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>household_electricity_demand_profiles</strong></p> <ul> <li> <p>Annual profiles in hourly resolution of electricity demand of private households for different household types (singles, couples, other) with varying number of elderly and children.<br>The profiles were created using a bottom-up load profile generator by Fraunhofer IEE developed in the Bachelor's thesis "Auswirkungen verschiedener Haushaltslastprofile auf PV-Batterie-Systeme" by Jonas Haack, Fachhochschule Flensburg, December 2012.<br>The columns are named as follows: "<HH_TYPE_PREFIX>a<PROFILE_ID>", e.g. P2a0000 is the first profile of a couple's household with 2 children. See publication below for the list of prefixes. Values are given in Wh.<br>A related conference paper can be obtained here: http://publica.fraunhofer.de/documents/N-374761.html</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>household_heat_demand_profiles</strong></p> <ul> <li> <p>Sample heat time series including hot water and space heating for single- and multi-familiy houses. The profiles were created using the loadprofile generator by Fraunhofer IEE developed in the Master's thesis "Synthesis of a heat and electrical load profile for single and multi-family houses used for subsequent performance tests of a multi-component energy system", Simon Ruben Drauz, RWTH Aachen University, March 2016</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>hydrogen_network</strong></p> <ul> <li> <p>Planned H2 infrastructure</p> </li> <li> <p>Forecast H2 demand</p> </li> <li> <p>Source: fnb-gas</p> </li> </ul> </li> <li> <p><strong>hydrogen_storage_potential_saltstructures</strong></p> <ul> <li> <p>The data are taken from figure 7.1 in Donadei, S., et al., (2020), p. 7-5..</p> </li> <li> <p>Source: Flach lagernde Salze, (c) BGR Hannover, 2021.<br>Datenquelle: InSpEE-Salzstrukturen, (c) BGR, Hannover, 2015. &<br>Donadei, S., Horváth, B., Horváth, P.-L., Keppliner, J., Schneider, G.-S., &<br>Zander-Schiebenhöfer, D. (2020). Teilprojekt Bewertungskriterien und<br>Potenzialabschätzung. BGR. Informationssystem Salz: Planungsgrundlagen,<br>Auswahlkriterien und Potenzialabschätzung für die Errichtung von Salzkavernen<br>zur Speicherung von Erneuerbaren Energien (Wasserstoff und Druckluft) –<br>Doppelsalinare und flach lagernde Salzschichten: InSpEE-DS. Sachbericht.<br>Hannover: BGR.</p> </li> <li> <p>License: The original data are licensed under the GeoNutzV, see <a href="https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf">https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf</a></p> </li> </ul> </li> <li> <p><strong>industrial_gas_demand</strong></p> </li> <li> <p><strong>industrial_sites</strong></p> <ul> <li> <p>Information about industrial sites with DSM-potential in Germany from a Master's thesis by Danielle Schmidt. The data set includes own information on the coordinates of every industrial site.</p> </li> <li> <p>source: Schmidt, Danielle. (2019). Supplementary material to the masters thesis: NUTS-3 Regionalization of Industrial Load Shifting Potential in Germany using a Time-Resolved Model [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3613767</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>mastr_geocoding</strong></p> </li> <li> <p><strong>nep2035_version2021</strong></p> <ul> <li> <p>Data extracted from the German grid development plan - power</p> </li> <li> <p>source: Netzentwicklungsplan Strom 2035 (2021), erster Entwurf | Übertragungsnetzbetreiber (M) CC-BY-4.0</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>pipeline_classification_gas</strong></p> <ul> <li> <p>Parameters for the classification of gas pipelines</p> </li> <li> <p>source: Single parameters extracted from <a href="https://www.econstor.eu/bitstream/10419/173388/1/1011162628.pdf">Electricity, Heat and Gas Sector Data for Modelling the German System</a></p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>pypsa_eur</strong></p> </li> <li> <p><strong>regions_dynamic_line_rating</strong></p> <ul> <li> <p>German regions suitable to model dynamic line rating</p> </li> <li> <p>source: Own representation based on <a href="https://www.transnetbw.de/files/pdf/netzentwicklung/netzplanungsgrundsaetze/UENB_PlGrS_Juli2020.pdf">Grundsätze für die Ausbauplanung des Deutschen Übertragungsnetze (2020)</a></p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>re_potential_areas</strong></p> <ul> <li> <p>Eligible areas for wind turbines and ground-mounted PV systems.</p> </li> <li> <p>Reiner Lemoine Institut, January 2022</p> </li> <li> <p>License: Attribution 4.0 International (CC BY 4.0)</p> </li> </ul> </li> <li> <p><strong>wind_offshore_status2019</strong></p> <ul> <li> <p> </p> </li> </ul> </li> <li> <p><strong>WZ_definition</strong></p> <ul> <li> <p>Definitions of industrial and commercial branches</p> </li> <li> <p>source: <a href="https://www.destatis.de/static/DE/dokumente/klassifikation-wz-2008-3100100089004.pdf">Klassifikation der Wirtschaftszweige (WZ 2008)</a></p> </li> <li> <p>Extract from Terms of Use: © Statistisches Bundesamt, Wiesbaden 2008 Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellenangabe gestattet.</p> </li> </ul> </li> <li> <p><strong>zensus_households</strong><strong> </strong></p> <ul> <li> <p>Dataset describing the amount of people living by a certain types of family-types, age-classes,sex and size of household in Germany in state-resolution.</p> </li> <li> <p>source: Data retrieved from <a href="https://ergebnisse2011.zensus2022.de/datenbank/online">Zensus Datenbank</a> by performing these steps:</p> <ul> <li> <p>Search for: "1000A-2029"</p> </li> <li> <p>or choose topic: "Bevölkerung kompakt"</p> </li> <li> <p>Choose table code: "1000A-2029" with title "Personen: Alter (11 Altersklassen)/Geschlecht/Größe desprivaten Haushalts - Typ des privaten Haushalts (nach Familien/Lebensform)"</p> </li> <li> <p>Change setting "GEOLK1" to "Bundesländer (16)" higher resolution "Landkreise und kreisfreie Städte (412)" only accessible after registration.</p> </li> </ul> </li> <li> <p>Extract from Terms of Use: © Statistische Ämter des Bundes und der Länder 2021, Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellennachweis gestattet.</p> </li> </ul> </li> <li> <p><strong>zensus_population</strong></p> </li> <li> <p><strong>district_heating_shares_egon.csv</strong></p> </li> </ol>
DUE PROCESS E A EFETIVIDADE DO PROCESSO ADMINISTRATIVO DISCIPLINAR
<p>O processo administrativo disciplinar é o principal instrumento para apurar irregularidades e infrações cometidas por servidores públicos no exercício de suas atribuições. Essa apuração é obrigatória para as autoridades que tiverem conhecimento de infrações administrativas, através de procedimentos correcionais de natureza investigativa e acusatória, a exemplo, o processo disciplinar de rito ordinário (PAD). Na Administração Pública, o processo administrativo disciplinar tem como base legal a Constituição Federal, com sua raiz constitucional no art. 5°, inciso LV e art. 41, §1°. Neste contexto, o presente estudo teve como objetivo analisar como o devido processo legal, a ampla defesa e contraditório, contribuí para efetividade do processo administrativo disciplinar e proteção dos direitos dos servidores públicos. A metodologia utilizada foi o método dedutivo e a pesquisa de natureza bibliográfica descritiva com subsídios legais e doutrinários. Em conclusão, denota-se que dentre os principais vícios irreparáveis, que levam à declaração de nulidade absoluta, com ofensa à Constituição Federal, estão o desrespeito do devido processo legal pela falta de defesa técnica, falta de citação ou notificação adequada, a utilização de provas ilegais ou obtidas de maneira irregular, a falta de publicidade, prazos não observados, falta de fundamentação das decisões e falta de capacitação dos servidores.</p>
Supplementary material to `Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of MPTRAC v2.6'
<p>This repository contains the supplementary material to the following paper: Hoffmann, L., Haghighi Mood, K., Herten, A., Hrywniak, M., Kraus, J., Clemens, J., and Liu, M., Accelerating Lagrangian transport simulations on graphics processing units: performance optimizations of MPTRAC v2.6, Geoscientific Model Development, submitted, 2023.</p>
FIGURES 1–16. 1–4. Atherigona bidens Hennig, male terminalia. 1. Hypopygial prominence, dorsal view. 2. Male hypopygial prominence, lateral view. 3. Male trifoliate process, posterior view. 4. Male trifoliate process, lateral view. 5– 8. Atherigona oryzae Malloch, male terminal. 5. Hypopygial prominence, dorsal view. 6. Hypopygial prominence, lateral view. 7. Trifoliate process, posterior view. 8. Trifoliate process, lateral view. 9–12 in The Muscidae (Diptera) of New Caledonia 2503
FIGURES 1–16. 1–4. Atherigona bidens Hennig, male terminalia. 1. Hypopygial prominence, dorsal view. 2. Male hypopygial prominence, lateral view. 3. Male trifoliate process, posterior view. 4. Male trifoliate process, lateral view. 5– 8. Atherigona oryzae Malloch, male terminal. 5. Hypopygial prominence, dorsal view. 6. Hypopygial prominence, lateral view. 7. Trifoliate process, posterior view. 8. Trifoliate process, lateral view. 9–12. Atherigona simplex (Thomson), male terminalia. 9. Hypopygial prominence, dorsal view. 10. Hypopygial prominence, lateral view. 11. Trifoliate process, posterior view. 12. Trifoliate process, lateral view. 13–16. Atherigona tibiseta Malloch, male terminalia. 13. Hypopygial prominence, dorsal view. 14. Hypopygial prominence, lateral view. 15. Trifoliate process, posterior view. 16. Trifoliate process, lateral view. Scale bar: 0.1mm
Fig. 1 in Nesting Behavior in TrichillumHarold, 1868 and Related Genera (Coleoptera: Scarabaeidae: Scarabaeinae: Ateuchini: Scatimina): A Primitive Process or a Loss of Nidification?
Fig. 1. Three views of Trichillum externepunctatum: larva (A, lateral) and pupa (B, lateral; C, dorsal).
ScienceDex guides
Understand access before you commit
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.