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11,394 results for “Surveys”
GraspOS landscape survey on Reforming Research Assessment
<p><span>This dataset is related to GraspOS Deliverable D2.1 "OS-aware RRA approaches landscape report" (<a title="https://zenodo.org/records/11098095" href="../records/11098095" target="_blank" rel="noreferrer noopener">https://zenodo.org/records/11098095</a>), Annex 1. GraspOS landscape survey on Reforming Research Assessment.</span></p>
GraspOS landscape survey for pilots
<p>This dataset is related to GraspOS Deliverable D2.1 "OS-aware RRA approaches landscape report" (<a title="https://zenodo.org/records/11098095" href="../records/11098095" target="_blank" rel="noreferrer noopener">https://zenodo.org/records/11098095</a>), Annex 4. The questionnaire for GraspOS landscape survey for pilots.</p>
Socio - Economic Survey on Green Transition in Albania - Households
<p>Socio-Economic Survey on Green Transition in Albania - Households</p> <p>The file contains the dataset (cleaned), the questionnaire in Albanian, the coding used for data processing in SPSS, and the detailed results for each question in the questionnaire (organised in sections).</p> <p> </p>
Socio-Economic Survey on Green Transition in Albania - Businesses
<p>Socio-Economic Survey on Green Transition in Albania - Businesses</p> <p>The file contains the dataset (cleaned), the questionnaire in Albanian, the coding used for data processing in SPSS, and the detailed results for each question in the questionnaire (organised in sections).</p> <p> </p>
Survey questions and raw data for the study in the paper "Educational Technology for Tutors – What are Useful Tools and Information?"
<p>The data include the questions data set, the answers dataset and the codebook for the questions conducted with soscisurvey (https://www.soscisurvey.de/de/index). The survey itself can be imported in soscisurvey (via the XML data) and reused.</p> <p>The answers are unedited.</p>
MUSE HUDF survey I, Section 4: data and reproduction pipeline for photometry and astrometry
<p>Necessary data and <a href="http://akhlaghi.org/reproducible-science.html">Reproduction pipeline</a> for <a href="https://www.aanda.org/articles/aa/full_html/2017/12/aa30833-17/aa30833-17.html#S14">Section 4</a> of "<em>The MUSE Hubble Ultra Deep Field Survey: I. Survey description, data reduction and source detection</em>", Bacon et al. (2017), <a href="https://www.aanda.org/articles/aa/abs/2017/12/aa30833-17/aa30833-17.html">Astronomy & Astrophysics, 608, A1</a>. The purpose of this section in the paper is to show the photometric and astrometric precision of the processed <a href="http://muse-vlt.eu/science/">MUSE</a> 3D data cubes discussed in the paper (pseudo-broad-band images created from the cubes) in comparison with broad-band images of the Hubble Space Telescope (HST).</p> <p>This repository on Zenodo contains all the necessary input data, software and <a href="http://akhlaghi.org/reproducible-science.html">reproduction pipeline</a> (containing the scripts, configuration files and settings to exactly reproduce the results in Section 4 of the paper). Below is a description of the contents:</p> <ul> <li> <p><a href="https://zenodo.org/record/1163746/files/gnuastro-0.2.51-bc56.tar.gz"><code>gnuastro-0.2.51-bc56.tar.gz</code></a>: The version of <a href="https://www.gnu.org/software/gnuastro">GNU Astronomy Utilities</a> (Gnuastro) that is necessary for this pipeline. Gnuastro is a large collection of programs for astronomical data analysis on the command-line (and in scripts). Note that the reproduction pipeline <em>only</em> works with Gnuastro version 0.2.51, it will complain and abort if another version is installed.</p> <p>IMPORTANT NOTE: Since version 0.2.51 of Gnuastro was released, CFITSIO (one of Gnuastro's dependencies) has added a dependency for the cURL library (to read https URLs). Therefore, to install Gnuastro 0.2.51, please install <a href="https://heasarc.gsfc.nasa.gov/FTP/software/fitsio/c/cfitsio3410.tar.gz">CFITSIO version 3.41</a> or earlier.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/gnuastro-dependencies.tar.gz"><code>gnuastro-dependencies.tar.gz</code></a>: Software libraries necessary to build Gnuastro as it is used here. With these, a working C compiler is enough (currently only tested in a GNU/Linux environment) to exactly reproduce the results (tables).</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/hst-acs-images.tar.gz"><code>hst-acs-images.tar.gz</code></a>: Necessary images from HST's <a href="https://archive.stsci.edu/prepds/xdf/">eXtreme Deep Field</a> survey <a href="https://archive.stsci.edu/pub/hlsp/xdf">archives</a>. These images are not necessary to run the reproduction pipeline (they will be downloaded from the HST archives if not present). They are stored here for the self-sufficiency of this repository and faster download: in this lossless compressed format, they are roughly 1/3rd the volume of the same files in HST archives.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/hst-acs-throughputs.tar.gz"><code>hst-acs-throughputs.tar.gz</code></a>: The throughputs of HST Advanced Camera for Surveys (ACS) filters necessary in this study. These are also available from the <a href="http://www.stsci.edu/hst/acs/analysis/throughputs/tables">HST archives</a> and are kept here with similar reasons to above.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/muse-pseudo-broadband-images.tar.gz"><code>muse-pseudo-broadband-images.tar.gz</code></a>: Pseudo-broad-band images generated from the MUSE 3D data cube. These images are only released in this repository. However, to run the reproduction pipeline, it isn't necessary to download them directly from here. The script will download them from Zenodo automatically.</p> </li> <li> <p><a href="https://zenodo.org/record/1163746/files/reproduce-v1-4-gaafdb04.tar.gz"><code>reproduce-v1-4-gaafdb04.tar.gz</code></a>: The <a href="http://akhlaghi.org/reproducible-science.html">reproduction pipeline</a> (version 1-4-gaafdb04) that produces the results (tables) plotted in the paper. The full Git version controlled history of this repository is available on <a href="https://git-cral.univ-lyon1.fr/mohammad.akhlaghi/muse-udf-photometry-astrometry">git-cral.univ-lyon1.fr</a> or <a href="https://gitlab.com/makhlaghi/muse-udf-photometry-astrometry">gitlab.com</a>. We recommend cloning from the Git repository if it is available. This tarball is kept here in case those servers don't work or Git is no longer in common use. Please see the <code>README</code> file in this repository for instructions on how to run the reproduction pipeline and exactly reproduce the results. This pipeline will download all the necessary data if they aren't already present on the system (it is probably just necessary to install the required version of Gnuastro).</p> </li> </ul> <p>The Creative Commons Attribution-NonCommercial 4.0 copyright mentioned in the Zenodo webpage is only applicable to files that don't have an explicit copyright within them. The copyright of other files (mainly scripts and software) is mentioned within them (all are <a href="https://www.gnu.org/licenses/licenses.en.html">free licenses</a>).</p> <p>For any issues with the pipeline/processing, please contact <a href="http://akhlaghi.org">Mohammad Akhlaghi</a>.</p>
Survey of participant experience in workshop for testing IGP software setup: supplemental dataset for SimAUD 2018
<p>This is a supplemental dataset for a SimAUD 2018 paper. For the context of the dataset, plots, and description text given here, please refer to the paper:</p> <blockquote> <p><strong>Heinrich, M.K., Zahadat, P., Harding, J., et al. Using interactive evolution to design behaviors for non-deterministic self-organized construction. In <em>Proc. of SimAUD</em> (2018). <em>In print</em>.</strong></p> </blockquote> <p>These survey results <em><strong>(see attached file dataset_survey-responses)</strong></em>, are regarding the experience of participants in a workshop testing the <em>Integrated Growth Projection</em> software setup, including an implementation of the <em>Vascular Morphogenesis Controller</em>, and the Interactive Evolution software <em>Biomorpher</em>.</p> <p>The full-time one-week workshop was held as part of the normal coursework of the Master's degree program <em>CITAstudio: Computation in Architecture</em>, in the Institute of Architecture and Technology, at [KADK] The Royal Danish Academy, School of Architecture, Copenhagen, Denmark. It was part of the first semester of the 2017-2018 school year. Workshop participants were current Master's students in the <em>CITAstudio </em>program. The workshop teaching was led by Mary Katherine Heinrich and Phil Ayres, with guest teaching by Payam Zahadat and John Harding, overall program teaching supervision by Paul Nicholas, and teaching assistance by Sebastian Gatz.</p> <p><strong>Survey method:</strong></p> <p>The workshop participants gave survey responses anonymously.</p> <p>Survey responses were collected via Google Forms (https://www.google.com/forms/about/). At the start of the survey, participants gave permissions for use and publication, and verified that they participated in the workshop and had not previously taken the survey. The platform discourages duplicate responses by requiring an email sign-in (which is not visible to the surveyor).</p> <p>Although workshop participants gave permission for survey results to be published before taking the survey, the participants were unaware of the specific intended context and purpose of publishing, prior to taking the survey. Authors of the related paper who were workshop participants had no contact with the process of survey preparation, analysis of its results, or writing of related paper sections. </p> <p>There were 26 workshop participants. Participants were architects or architectural designers. </p> <p>Participants were asked about 1) their prior experience, 2) their understanding of topics before and after the workshop, 3) the helpfulness of specific software aspects for their understanding and their project work, and 4) their likelihood to use specific software aspects in the future.</p> <p>In addition to looking at the full surveyed group, we compare experience sub-groups. Participants select relevant tasks that they have previously completed, from a provided list. They are placed in the <em>Less Experience</em> sub-group if they select one or no tasks, and in the <em>More Experience</em> sub-group if they select two or more. </p> <p><strong>Survey results:</strong></p> <p>Close to two-thirds of workshop participants submitted survey responses (16 of 26, or 61.5%), with at least two respondents per group. One respondent indicated workshop absence; their responses were removed. One respondent indicated that they did not understand two questions, so those two responses were removed. All responses were submitted within 18 days of workshop end.</p> <p>Attached file:<em><strong> Plot_1</strong></em>, caption:</p> <blockquote> <p>Plot 1: <em>Participants' scoring of their understanding of the topics "self-organization" and "Interactive Evolution" respectively, comparing scores before and after the workshop.</em></p> </blockquote> <p>Attached file:<em><strong> Plot_2</strong></em>, caption:</p> <blockquote> <p>Plot 2: <em>(Left) Participants' scoring of their likelihood to use certain aspects of the software setup again, if they were to design a non-deterministic self-organizing behavior, and (right) participants' indications of the helpfulness of those same software aspects.</em></p> </blockquote> <p>Responses regarding understanding <em><strong>(see attached file, Plot_1)</strong></em> give evidence that the <em>Integrated Growth Projection</em> software setup helped participants of both experience levels improve their understanding of related topics. Those with less prior experience improved their understanding more than others, and understanding of "Interactive Evolution" improved slightly more than understanding of "self-organization." </p> <p>Responses regarding the usefulness of certain software aspects <em><strong>(see attached file, Plot_2)</strong></em> give evidence that: 1) Interactive Evolution helped participants to understand and design a non-deterministic self-organizing behavior <em><strong>(see Plot_2, a)</strong></em>; 2) visualization of the environment and simultaneous viewing of multiple results helped them to understand and design such behaviors <em><strong>(see Plot_2, b and c)</strong></em>; and 3) the <em>Integrated Growth Projection</em>'s features of environment visualization and simultaneous results <em>inside</em> the artificial selection preview windows of the IE setup helped them to evolve behaviors to solve their chosen tasks<em> <strong>(see Plot_2, d and e)</strong></em>. </p> <p>____________________________________</p> <p>The research work involved here is part of EU project<em> flora robotica</em>.<br> <a href="http://www.florarobotica.eu/">http://www.florarobotica.eu/</a><br> Project<em> flora robotica</em> has received funding from the European Union's Horizon 2020 research and innovation program under the FET grant agreement, no. 640959.</p>
Remote Rapid Visual Screening (RRVS) Buildings Survey Data - DESTRESS - France
<p>The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS methodology in Alsace, France, within the framework of the DESTRESS project. The survey has been carried out between May and June 2017 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: February 2011) and footprints from OpenStreetMap.<br> Surveyor: Konstantinos G. Megalooikonomou (GFZ-Potsdam)<br> The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org). <br> The following attributes are defined (not all are observable in the RRVS survey):<br />code,description<br> lon, longitude in fraction of degrees<br> lat, latitude in fraction of degrees<br> object_id, unique id of the building surveyed <br> MAT_TYPE,Material Type<br> MAT_TECH,Material Technology<br> MAT_PROP,Material Property<br> LLRS,Type of Lateral Load-Resisting System<br> LLRS_DUCT,System Ductility<br> HEIGHT,Height<br> YR_BUILT,Date of Construction or Retrofit<br> OCCUPY,Building Occupancy Class - General<br> OCCUPY_DT,Building Occupancy Class - Detail<br> POSITION,Building Position within a Block<br> PLAN_SHAPE,Shape of the Building Plan<br> STR_IRREG,Regular or Irregular<br> STR_IRREG_DT,Plan Irregularity or Vertical Irregularity<br> STR_IRREG_TYPE,Type of Irregularity<br> NONSTRCEXW,Exterior walls<br> ROOF_SHAPE,Roof Shape<br> ROOFCOVMAT,Roof Covering<br> ROOFSYSMAT,Roof System Material<br> ROOFSYSTYP,Roof System Type<br> ROOF_CONN,Roof Connections<br> FLOOR_MAT,Floor Material<br> FLOOR_TYPE,Floor System Type<br> FLOOR_CONN,Floor Connections</p>
A multi-resolution, multi-epoch low Radio Frequency Survey of the Kepler K2 Mission Campaign 1 Field
<p>Data abstract:</p> <p>Contained within are the MWA images used as input data for this study. The production and analysis of these images are described in the linked paper. The final catalogues and light curves are available from VizieR (http://vizier.cfa.harvard.edu/viz-bin/VizieR?-source=J/AJ/152/82).</p> <p>Paper abstract:</p> <p>We present the first dedicated radio continuum survey of a Kepler K2 mission field, Field 1, covering the North Galactic Cap. The survey is wide field, contemporaneous, multi-epoch, and multi-resolution in nature and was conducted at low radio frequencies between 140 and 200 MHz. The multi-epoch and ultra wide field (but relatively low resolution) part of the survey was provided by 15 nights of observation using the Murchison Widefield Array (MWA) over a period of approximately a month, contemporaneous with K2 observations of the field. The multi-resolution aspect of the survey was provided by the low resolution (4‧) MWA imaging, complemented by non-contemporaneous but much higher resolution (20″) observations using the Giant Metrewave Radio Telescope (GMRT). The survey is, therefore, sensitive to the details of radio structures across a wide range of angular scales. Consistent with other recent low radio frequency surveys, no significant radio transients or variables were detected in the survey. The resulting source catalogs consist of 1085 and 1468 detections in the two MWA observation bands (centered at 154 and 185 MHz, respectively) and 7445 detections in the GMRT observation band (centered at 148 MHz), over 314 square degrees. The survey is presented as a significant resource for multi-wavelength investigations of the more than 21,000 target objects in the K2 field. We briefly examine our survey data against K2 target lists for dwarf star types (stellar types M and L) that have been known to produce radio flares.</p>
Evolution of cosmic star formation in the SCUBA-2 Cosmology Legacy Survey
<p>This dataset consists of tabulated data from the figures included in the referenced publication. The following datasets are included:</p> <p>Stacked SFR obscuration (IRX=IR/UV) of UVJ-selected star-forming galaxies:</p> <ul> <li>Weighted mean IRX as a function of Muv & stellar mass (Figure 12): MUV_irx1.dat</li> <li>Weighted mean IRX as a function of beta, over all masses and redshifts: beta_irx.dat</li> <li>Weighted mean IRX as a function of beta, binned by stellar mass (Figure 13): beta_irx_mstar.dat</li> <li>Weighted mean IRX as a function of beta, binned by redshift (Figure 14): beta_irx_z.dat</li> </ul> <p>Cosmic SFR density as a function of redshift for massive galaxies log(Ms/Msol)>10 (Figure 15):</p> <ul> <li>All mass-selected galaxies: sfrd_massive.dat</li> <li>UV-luminous galaxies Muv<M*; log(Ms/Msol)>10: sfrd_hiLUV.dat</li> <li>IR-luminous galaxies detected at 450µm: sfrd_IRdet.dat</li> </ul> <p> </p> <p>Cosmic SFR density as a function of redshift corrected to all stellar masses (Figure 16):</p> <ul> <li>All mass-selected galaxies: sfrd_uvlfcorr.dat</li> <li>UV-luminous galaxies Muv<M*; log(Ms/Msol)>10: sfrd_hiLUV_uvlfcorr.dat</li> </ul> <p>Full details of the binning and stacking methodology are explained in the paper.</p>
Supplemental catalogs for "The Sloan Digital Sky Survey Reverberation Mapping Project: Sample Characterization"
<p>We have compiled additional properties for the SDSS-RM sample in several ancillary catalogs. Below are the notes on these supplemental catalogs. There are .readme files for each additional catalog. We also include the quality assurance plots for the global spectral fits.</p> <p><strong>QA-0000-56837.ps.gz </strong>The full set of 849 quality assessment plots for the global spectral fitting. Each plot includes a top panel showing the continuum (brown) and Fe II (blue) model components; the red line is the sum of the two. The cyan diamonds are pixels masked as absorption or bad pixels. The gray brackets near the top of the panel indicate the windows used for the continuum+Fe II fit. The bottom panels present the emission line fits for five line complexes.</p> <p><strong>allqso_sdssrm.fits</strong> A FITS table of all 1214 known quasars in the 7 square degree SDSS-RM field. Only 849 of them received a fiber in the SDSS-RM spectroscopy. This table lists the basic target information of these quasars.</p> <p><strong>QSObased_Expanded_SDSSRM_107.fits</strong> The narrow MgII/FeII absorber catalog for SDSS-RM quasars, following the methodology outlined in Zhu & Ménard (2013). Each entry corresponds to one quasar. The search for narrow absorbers includes systems that have absorber redshift close to the quasar systemic redshift (|dz|<0.04). MgII absorbers blueshifted from the quasar by dz>0.04 and also redward of CIV by dz>0.02 are of high purity. MgII absorbers with |dz|<0.04 or those at wavelength blueward of CIV, or those with FeII detection but no MgII detections (likely due to bad pixels), while included in this catalog, should be treated with caution, and may contain a small fraction of false positives (mainly CIV absorbers).</p> <p>For convenience, we also provide a version of the absorber catalog organized by absorbers (<strong>Expanded_SDSSRM_107.fits</strong>), i.e., each entry corresponds to one absorber system.</p> <p><strong>rmqso32_aegis_multi_lambda.fits</strong> Multi-wavelength data compiled from Nandra et al. (2015) or 32 SDSS-RM quasars in the AEGIS field.</p> <p><strong>spitzer_seip_rm_match_1.5arcsec.fits</strong> Spitzer IRAC and MIPS data from the Spitzer Enhanced Imaging Products (SEIP) source list for 176 SDSS-RM quasars, with a matching radius of 1.5 arcseconds. This file also compiles infrared fluxes (if available) from 2MASS (Skrutskie et al. 2006).</p> <p><strong>spec_2014_BALrobust.csv</strong> List of 95 BALQSOs (including mini-BALQSOs) identified from the first-year coadded spectroscopy. This file includes BAL flags on CIV, AlIII, MgII, and FeII/FeIII. It also includes notes on individual objects.</p> <p><strong>PS1_MD07_LC_sdssrm.fits</strong> PS1 Medium Deep light curves for the SDSS-RM quasars used to compute PS1_NMAG_OK and PS1_RMS_MAG in the main catalog. Note this is the unofficial release of the PS1 MD07 data, which was approved by the PS1 collaboration. These photometric light curves may differ slightly from the final official release of the PS1 Medium Deep field data. </p>
Survey of digitized newspaper interfaces (dataset and notebooks)
<p>This record contains the datasets and jupyter notebooks which support the analysis presented in the paper "Historical Newspaper User Interfaces: A Review". Please refer to the paper or the github repository for more information (see links below), or do not hesitate to contact us!</p>
Dataset of Survey Results on the Integration of Industry 4.0 in University Education (Baja California, 2024)
<p>This dataset contains the results of a survey conducted in 2024 on the integration of Industry 4.0 concepts and technologies in university education in Baja California. The survey was designed to assess the current state of adoption, challenges, and opportunities related to Industry 4.0 within academic institutions. The data includes responses from engineering students at the Autonomous University of Baja California (UABC) and the Polytechnic University of Baja California (UPBC). The insights gathered aim to inform future strategies for enhancing the implementation of Industry 4.0 in higher education curricula.</p>
Household surveys in four informal settlements in Abidjan (Côte d'Ivoire) and Nairobi (Kenya)
<p><strong>Description:</strong> Latest release of data (anonymized) collected in informal settlements in Côte d'Ivoire and Kenya during my PhD thesis, with the respective metadata (questionnaire files). Please note that some data (geolocation, specific age of participant, and health facilities used) have been ommitted due to personal data protection concerns.</p> <p><strong>Includes:</strong> Data (CSV), questonnaires (XLS), and Jupyter notebooks summarizing the data (using Python).</p> <p><strong>Ethical clearance:</strong> We obtained ethical clearance in Switzerland from EPFL’s HREC (decision n° 068-2020), in Kenya from KEMRI (KEMRI/RES/7/3/1) and the National Commission for Science, Technology & Innovation (NACOSTI/P/21/10921), and in Côte d’Ivoire from the National Health and Life Sciences Ethics Committee (Comité National d’Éthique des Sciences de la Vie et de la Santé, ref. n° 005-22/MSHPCMU/CNESVS-km).</p> <p><strong>Citation:</strong> Pessoa Colombo V. Relating health benefits of water, sanitation, and hygiene services with the context of urban informal settlements: lessons from Côte d'Ivoire and Kenya. PhD thesis. EPFL: Lausanne. 2023. https://doi.org/10.5075/epfl-thesis-10143</p>
Health of the Nation. National NCD risk factor survey, Barbados (2012-13)
<p><strong>Executive Summary</strong></p> <div> <div>The Caribbean is experiencing increasing levels of illness and death from non-communicable disease (NCD) causes. Regional leaders pledged to combat this epidemic through increased surveillance and intervention, implementing healthcare policies and programmes across our countries. In Barbados, one of the Ministry of Health (MoH)’s initiatives has been the Health of the Nation (HotN) Survey, to provide information on the prevalence and social determinants of risk factors for lifestyle-related NCD. This will allow identification of potential targets for future interventions to improve prevention and control of these diseases in the Barbadian population. In this comprehensive, cross-sectional survey, data were collected for 1234 participants aged at least 25 years (response rate: 55%) on demographics, behavioural risk factors, medical history, place of treatment and costs incurred, blood pressure and anthropometry, and biochemical measures. The survey sample under-represented young adults (particularly men) and over-represented the elderly (particularly women), so a weighting scheme was utilised to balance the sample distribution for age and sex with that of the Barbados 2010 Census. Prevalence of each risk factor was estimated overall, for each sex separately, and stratified by three broad age-groups.</div> <br> <div>Main findings show that Barbadian adults are at high risk from NCDs due to high prevalence of biological and behavioural risk factors. Most alarming is that two in every three adults in our population (and three-quarters of women) are overweight and/or obese. In addition, more than one in three adults in Barbados (more than one in two of those aged at least 45 years) are hypertensive, and one in five have diabetes (almost one in two of those aged 65 years or older). At least one in three of those with known hypertension or diabetes who were receiving treatment had sub-optimal control. </div> <br> <div>Daily tobacco use was reported by one in 10 men, vs one in 50 women. Harmful alcohol use followed a similar pattern, i.e. was mainly reported by young men, with excessive weekly alcohol consumption over the past 30 days reported by roughly the same proportions of men and women reporting daily tobacco use. One in three men aged 25–44 years reported binge drinking in the past 30 days. Core survey results show that Barbadian residents have low fruit and vegetable consumption, while half of the sample reported low levels of physical activity. About one in four adults had healthcare insurance (one in three of those who were employed). More in-depth information on diet, physical activity and cost/insurance will be provided from the relevant survey sub-studies at a later date. Urgent action is required to address the low levels of healthy behavioural risk and high levels of biological risk present in the Barbadian adult population. Community and civil society involvement could help support healthier behaviours. A multi-sectoral approach is required to combat NCD risk on all levels, with creation of national guidelines to supplement an appropriate regulatory framework within an enabling environment.</div> </div>
Inter-Chemical Correlation results for the study: NHANES20132014 (NHANES Survey 2013-2014)
Title: NHANES Survey 2013-2014 <br>Species: Homo sapiens <br>Number of samples: 10269 <br>Number of named analytes: 218 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20072008 (NHANES Survey 2007-2008)
Title: NHANES Survey 2007-2008 <br>Species: Homo sapiens <br>Number of samples: 8529 <br>Number of named analytes: 174 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20032004 (NHANES Survey 2003-2004)
Title: NHANES Survey 2003-2004 <br>Species: Homo sapiens <br>Number of samples: 10012 <br>Number of named analytes: 427 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES19992000 (NHANES Survey 1999-2000)
Title: NHANES Survey 1999-2000 <br>Species: Homo sapiens <br>Number of samples: 9652 <br>Number of named analytes: 252 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
Inter-Chemical Correlation results for the study: NHANES20152016 (NHANES Survey 2015-2016)
Title: NHANES Survey 2015-2016 <br>Species: Homo sapiens <br>Number of samples: 9170 <br>Number of named analytes: 341 <br>Datasource url: https://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component=Laboratory <br>
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.