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1,547 results for “employment;”
In-situ grazing-incidence X-ray diffraction data of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) via employing an isopropanol antisolvent. Raw Data
<p>The dataset contains 400 diffraction images from a 40 second in-situ grazing-incidence wide-angle X-ray scattering measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass substrate. The crystallization is initiated via employing an isopropanol antisolvent during the spin-coating of the perovskite precursor solution. 40 µL of MAPbBr3 solution (4:1 DMF/DMSO solvent mixture) was applied on plasma-cleaned glass substrate in a chamber with kapton windows. The two-phase spin-coating regime included 10 seconds at 1000 rpm followed by 30 seconds at 2000 rpm, 200 µL of antisolvent was dispensed at t = 30 s.</p> <p> </p> <p> </p> <p>The data was acquired at the P08 Beamline at PETRA III (DESY Hamburg). Acquisition parameters:</p> <p> </p> <ul> <li> <p>X-ray wavelength: 0.6888 nm</p> </li> <li> <p>Sample detector distance: 809 mm</p> </li> <li> <p>Incidence angle: 0.5 deg.</p> </li> <li> <p>Detector model: XRD 1621 CN3 EHS</p> </li> <li> <p>Acquisition rate : 10 frames per second (10 Hz)</p> </li> <li> <p>Direct beam position (pixels): 545, 222</p> </li> </ul>
Replication Data for: Replication for: How Much Do Startups Impact Employment Growth in the U.S.?
<p>These are data files to support the replication of the blog post "How Much Do Startups Impact Employment Growth in the U.S.?" The replication is not a complete replication attempt. Files were downloaded from the U.S. Census Bureau at https://www.census.gov/ces/dataproducts/bds/data_firm.html on 2019-04-23. A codebook, as provided by the U.S. Census Bureau on the same date, is provided.</p>
Experimental determination of the sulfur K-shell fundamental parameters employing the holistic approach
<p>This dataset contains the experimentally determined fundamental parameters for the sulfur K-subshells from as shown in the publication with the title "Experimental determination of the sulfur K-shell fundamental parameters employing the holistic approach". The paper will be published soon in a peer-reviewd journal.</p> <p>This file contains the following fundamental parameters for sulfur: K-subshell fluorescence yield, K-shell Auger yield, Ka and Kb transition probabilities, K-subshell photo ionization cross sections up to 10 keV, K-subshell fluorescence prodution cross sections up to 10 keV</p>
Advanced Resolution Canopy FLOw (ARCFLO) experiment employing the SUbcanopy Sonic Anemometer Network (SUSAN) in WS01 of the HJ Andrews Experimental Forest, July-September 2012
This dataset was collected during one of the ARCFLO (Advanced Resolution Canopy FLOw) experiment series’ field campaigns. This field campaign was carried out in WS1 of the HJ Andrews Experimental forest during July-September 2012 by the biomicrometeorology group, PI Christoph Thomas. The ARCFLO experiment series spanned a wide range of topographic conditions (flat, sloped, mountainous) and canopy architectures (grassland, orchard, open forest, dense forest) and was carried out between 2011 and 2014. It was funded through the NSF Career Award in Physical and Dynamical Meteorology to PI Christoph Thomas. The main goal of this project was to develop a novel improved framework to describe the airflow and its transport under weak-wind conditions for a continuous variation of overstory density and stratification. The objective is to i) identify forcing mechanisms of submeso motions, ii) evaluate the impact of plant canopies of different overstory density on the wind, temperature, and humidity fields, and iii) improve predictors for mixing in plant canopies that incorporate the important physical mechanisms. Observations were be made with a unique combination of new and standard techniques including optical fiber measurement of temperature structure, acoustic remote sensing, ultrasonic anemometers, and laser-illuminated flow visualizations.
S13 | EUCOSMETICS | Combined Inventory of Ingredients Employed in Cosmetic Products (2000) and Revised Inventory (2006)
<p>This is the collection associated with list S13 EUCOSMETICS on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p><strong>Combined Inventory of Ingredients Employed in Cosmetic Products (2000) and Revised Inventory (2006)</strong></p> <p>Merged Cosmetics <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/Merged_CosmeticProducts_04052017.csv">CSV</a> (4/05/2017)</p> <p>CompTox <a href="https://comptox.epa.gov/dashboard/chemical_lists/eucosmetics">EU Cosmetics List</a></p> <p><a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/Merged_CosmeticProducts_04052017_InChIKeys.txt">Merged Cosmetics InChIKeys</a> (4/05/2017)</p> <p>The scientific committee on cosmetic products and non-food products Intended for consumers - <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/SCCNFP038900_INCI-2000.pdf">SCCNFP/0389/00 Final</a> and Commission <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/Decision_2006_257_EC.pdf">Decision 2006/257/EC</a> amending the Decision 96/335/EC. Provided by Peter von der Ohe, UBA, curated by Reza Aalizadeh, University of Athens.</p> <p>Update 12 May 2020: Added the source data from both reports (INCI-2000 and Decision 96/335/EC), including the function information and undefined structures. Update 28 May 2020: removed incomplete structural information from Decision 96/335/EC files. Update 24/7/2020: corrected one synonym reported by PubChem (GFMHHNOUDDHEOO-UHFFFAOYSA-N).</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the upper limb joints in planar robot-aided therapies
<p>These files contain the raw data (acquired from different users) necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the upper limb joints in planar robot-aided therapies</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Jorge A. Díez, Luis D. Lledó, Francisco J. Badesa, Nicolas Garcia-Aracil</p> <p>Conference: ICORR 2015, IEEE 14th International Conference on Rehabilitation Robotics, August 2015</p> <p><br> All the orientations are expressed regarding the origin of the robot.</p> <p>a) Robot Joints: Planar robot joints acquired during the experiment, in radians (j1-j3 columns). This robot is referenced in the paper.<br> b) Quaternion IMU shoulder: Unit quatenion acquired through a 9DoFs Inertial Measurement Unit (IMU) developed by Shimmer (qw1-qz columns).<br> c) Upper arm acceleration: Acceleration acquired from a 3-axial accelerometer developed by Shimmer (X-Z columns). It is normalized regarding the gravity (9.81m/s^2).<br> d) Quaternion Tracker onto Shoulder: unit quaternion of the tracker placed onto the shoulder acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).<br> e) Quaternion Tracker onto Upper Arm: unit quaternion of the tracker placed onto the upper arm acquired from the tracking camera V120:trio developed by Optitrack (qw1-qz columns).</p>
Raw data employed to perform the algorithm used in the scientific paper: "Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot"
<p>This file contains the raw data necessary to perform the algorithm introduced in the scientific paper:</p> <p>PAPER: Kinematic reconstruction of the human arm joints in robot-aided therapies with Hermes robot</p> <p>Authors: Arturo Bertomeu-Motos, Ricardo Morales, Luis D. Lledó, Jorge A. Díez, Jose M. Catalan, Nicolas Garcia-Aracil.</p> <p>Conference: EMBC 2015, IEEE 37th International Conference in Medicine and Biology Society, August 2015.</p> <p>Raw data acquired necessary to perform thee algorithm introduced in this paper.</p> <p>a) Robot Joints: Robot joints generated to develop the simulation, in radians (j1-j7 colums). This robot is referenced in the paper.<br> b) Direct Upper Limb Joints: Upper limb joints generated to develop the simulation, in radians (q1-q7 columns). This data is used to simulate the accelerometer value.</p>
Number of works grouped by AI technique employed
<p>Number of works grouped by AI technique employed. Part of the study "What do we mean by GenAI?"</p>
Number of works grouped by objective, domain and AI technique employed
<p>Number of works grouped by objective, domain and AI technique employed. Part of the study "What do we mean by GenAI?"</p>
Online Supplemental Materials for: "Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap"
<p>This archive contains supplementary materials for the published manuscript.</p> <p>We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.</p>
Data for: Improving Kieker's Scalability by Employing Linked Read-Optimized and Write-Optimized NoSQL Storage
<p>We show, how polyglot persistence increase Kieker's scalability by employing separate read-optimized and write-optimized noSQL storage. For this purpose we extended Kieker to store its monitoring output in Apache Cassandra , which is a write-optimized wide-column noSQL database. For the analysis of the generated monitoring output we are using ElasticSearch, a read-optimized document store noSQL storage. We are interlinking read-optimized and write-optimized noSQL storage within our Regression Benchmarking Execution Environment (RBEE). To ensure scalability we are employing a container infrastructure. The mentioned noSQL storages and the linker are operating within one single Docker container which scales horizontally.</p> <p>For generating reference values, we instrumented a Java SE application with Kieker's file system writer and measured throughput and method's execution times. Consecutively, we instrumented the same Java SE application with our Apache Cassandra writer and measured throughput and method's execution time. Finally, we compared measurement results of Kieker's file system writer with the measurement results of our Apache Cassandra writer.</p>
Dataset: Employing the Generalized Pareto Distribution to Analyze Extreme Rainfall Events on Consecutive Rainy Days in Thailand's Chi Watershed: Implications for Flood Management
<p>This data set is used to employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed. A case of implications for flood management. Observational raw data from Thailand were provided by the Climate Information Services (CIS) at https://www.tmd.go.th/cis/main.php.</p>
2007-2017 Quarterly Ecuadorian National Employment Survey
<p>This repository contains the raw data from the Ecuadorian employment surveys from 2007-06 to 2017-12. PDF are questionnaires. Most datasets are in .SPPSS format (.sav). Each database was downloaded and unzipped as-is from the institutional website of INEC ECUADOR on November 15, 2021, using the "banco de informacion estadistica": https://aplicaciones3.ecuadorencifras.gob.ec/sbi-war/</p>
SIRIUS Project - Comparative dataset on skills, qualifications and the employability of post-2014 migrants, refugees and asylum seekers
<p>The dataset provides harmonized country data on the skills and qualifications of post-2014 migrants, refugees and asylum seekers in all SIRIUS countries (Czech Republic, Denmark, Finland, Greece, Italy, Switzerland, United Kingdom). </p> <p>This dataset and the related codebook have been put together within the framework of Work package 1 of the SIRIUS Project "Skills and Integration of Migrants, Refugees and Asylum Applicants in European Labour markets". The work package, titled “Labour market barriers and enablers", aimed to determine (1) the position of post- 2014 migrants, refugees and asylum seekers in the labour market of their host country, (2) the main features of the host countries’ labour markets focusing on the sectoral structure and the relevant skills and occupations.</p> <p> </p> <p><strong>Acknowledgments and disclaimers</strong><br> This research was conducted under the Horizon 2020 project ‘SIRIUS’ (770515).<br> The sole responsibility of this publication lies with the author. The European Union is not responsible for any use that may be made of the information contained therein.</p>
Automated metabolic assignment: Semi-supervised learning in metabolic analysis employing two dimensional Nuclear Magnetic Resonance (NMR)
<p>This dataset is related to the paper <strong>“Automated metabolic assignment: Semi-supervised learning in metabolic analysis employing two dimensional Nuclear Magnetic Resonance (NMR)”.</strong></p> <p>https://www.sciencedirect.com/science/article/pii/S2001037021003792?via%3Dihub</p> <p>The dataset comprises horizontal and vertical frequencies of 2D NMR TOCSY of breast cancer-tissue sample. 2D TOCSY was acquired by employing a broadband high resolution 600.13 MHz (B0 = 14.1 T) NMR Bruker spectrometer (AVANCE III 600 with the Bruker magnet ASCEND 600) supported with the room temperature probe (BBO model-Bruker) and Magic Angle Spinning (MAS) probehead. 1D and 2D NMR spectra acquisition and processing were achieved by using the TopSpin software package 3.6.</p> <p>There are two files:</p> <p><strong>BreastCancerMetabolites.csv:</strong></p> <p>First column: numerical labels of the metabolites. Each number represent a metabolite. In total, there are 27 metabolites with multiple multiplets per metabolite.</p> <p>Second and third column: Horizontal and vertical frequencies for each metabolite.</p> <p><strong>Labels.csv:</strong></p> <p>The corresponding metabolites names.</p> <p> </p>
ams-icdd-usecases: Use cases for employing ICDD containers for infrastructure asset management
<p>This repository provides two use cases for infrastructure asset management using information containers according to the <a href="https://www.iso.org/standard/74389.html">Information Container for linked Document Delivery standard (ISO 25197)</a>. Use Case 1 demonstrates the data preparation and result collection of bridge visual inspection with requirement- and delivery container. Use Case 2 demonstrates the pavement maintenance plan based on the existing condition data. Therefore, an additional connection to a relational database in the information container is provided in Use Case 2, which is registered within the container using an extension <a href="https://icdd.vm.rub.de/ontology/icdd/ExtendedDocument/">EXDOC:Extension for document types for the ISO 21597 ICDD Part 1 Container ontology</a>.</p> <p><strong>Full Changelog</strong>: <a href="https://github.com/RUB-Informatik-im-Bauwesen/ams-icdd-usecases/commits/v0.1">https://github.com/RUB-Informatik-im-Bauwesen/ams-icdd-usecases/commits/v0.1</a></p>
Restoring multi-employer bargaining in Europe: prospects and challenges.
<p>The database is the result of an inventory of the management - trade union relationships of the five largest companies in each of 232 EU countries in five industries (575 companies).<br> Metal and electronics, Retail, Wholesale, ICT, Transport and telecommunication<br> Datacollection covers the period 2012-2014<br> Reference to the dataset<br> Van Klaveren, M., & Gregory, D. (2019). Restoring multi-employer bargaining in Europe: prospects and challenges. ETUI, Brussels, ISBN 978-2-87452-529-2<br> https://wageindicator.org/documents/publicationslist/wageindicator-org-publications-2019/wibar-book-web.pdf <br> The transnational ‘WageIndicator Support for BARgaining’ (WIBAR-3) project received funding from the European Commission as part of the Industrial Relations and Social Dialogue programme (VS/2014/0533).<br> </p>
Data and code: Climate policy accelerates structural changes in energy employment
<p>The file contains code to create the figures used in main text and supplementary information of the paper <strong>Climate policy accelerates structural changes in energy employment</strong>.</p> <p>To run the RMD file and see the resulting figures, press Knit on R studio (requires the package knitr), or else see the attached HTML file, already created through such a process.</p>
Database that contains all images (plus 180 more) employed in the article: "Image features for quality analysis of thick blood smears employed in malaria diagnosis"
<p>We share with you a bank of images obtained from microscopic fields of thick blood smears employed in the malaria diagnosis, and also the .csv file that contains the labels for each image.</p> <p>The images are saved with a unique name that is found in the first column of the .csv file. The second column contains the labels from each image, according to their unique names.</p> <p>The labeling process was done with the online toolbox Labelbox. Labelbox, "Labelbox," Online, 2020. [Online]. Available: https://labelbox.com </p> <p>If you are interested in using our database, cite our article as a way to recognize our work. We will be grateful for that. </p> <p>CITATION: Fong Amaris, W.M., Martinez, C., Cortés-Cortés, L.J. et al. Image features for quality analysis of thick blood smears employed in malaria diagnosis. Malar J 21, 74 (2022). https://doi.org/10.1186/s12936-022-04064-2</p> <p>URL of our paper: https://malariajournal.biomedcentral.com/articles/10.1186/s12936-022-04064-2</p> <p><strong>--- This is the link where you can find our images Bank: https://drive.google.com/drive/folders/1Qrv0e4bSEtkeqtPABz-klQp-6D6OjU-X?usp=sharing </strong></p> <p>It is important you to know that along with this .txt file, we are sharing the .csv file that contains 600 names of images (in the first column) with their respective labels (second column aside)</p> <p>This file corresponds to the instructions of an extended label file related to 600 images (and 600 new labels) in contrast to our previous label file with 420 labels from 420 images (https://www.researchgate.net/publication/359439520_Database420LabelsInstructionstxt ; https://www.researchgate.net/publication/359438904_Database420Labelscsv).</p> <p>Best Regards</p> <p> </p>
High-resolution maps of material stock, population and employment in Austria from 1985 to 2018
<p>Global societal material stocks such as buildings and infrastructure accumulated rapidly within recent decades, along with population growth. Material stocks constitute the physical basis of most socio-economic activities and services, such as mobility, housing, health, or education. The dynamics of stock growth, and its relation to the population that demands those services, is an essential indicator for long-term societal resource use and patterns of emissions. The creation of societal material stock creates path dependencies for future resource use, with an important impact on how the transformation towards sustainable societies can succeed.</p> <p>This dataset features detailed maps of material stock and population, as well as the distribution of jobs, for Austria on a 30m grid. The data is based on recent maps of material stock and building volume (compare to Haberl et al. 2021, doi: 10.1021/acs.est.0c05642, data: https://zenodo.org/record/4522892), recent and historic census data, and a time series of Landsat TM, ETM+, and OLI Earth Observation data.</p> <p><strong>Temporal extent</strong></p> <p>The data contains annual maps from 1985 to 2018.</p> <p><strong>Data format and units</strong></p> <p>Per Austrian federal state, the data come in tiles of 30x30km. The projection is EPSG:3035. The images are compressed GeoTiff files (*.tif). There is a mosaic in GDAL Virtual format (*.vrt), which can readily be opened in most Geographic Information Systems. Please consider the generation of image pyramids before using *.vrt files.</p> <p>All image data has 34 bands, where band 1 is data for 1985, and band 34 is data for 2018.</p> <p>The dataset features</p> <ul> <li>population (Scaled by 100 to reduce data storage size. Divide by 100 to get people per cell)</li> <li>jobs (Scaled by 100 to reduce data storage size. Divide by 100 to get jobs per cell)</li> <li>mass (in tons) of … <ul> <li>total material stock <ul> <li>material stock in buildings <ul> <li>in commercial and industrial buildings</li> <li>in multi-family residential buildings</li> <li>in high-rise buildings</li> <li>in single-family residential buildings</li> <li>in lightweight buildings</li> </ul> </li> <li>material stock in road infrastructure</li> <li>material stock in rail infrastructure</li> <li>material stock in other infrastructure</li> </ul> </li> </ul> </li> </ul> <p><strong>Further information</strong></p> <p>For further information, please see the publication or contact Franz Schug (fschug@wisc.edu). Visit our <a href="https://boku.ac.at/understanding-the-role-of-material-stock-patterns-for-the-transformation-to-a-sustainable-society-mat-stocks">website </a>to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.</p> <p><strong>Funding</strong></p> <p>This research was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).</p> <p> </p>
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.