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.
6,766
datasets available to search
ShareScore release 0.7.1
Dataset results
6,766 results for “project”
Database Food Projects: Universidad de Valencia & Ministerio de Ciencia y Tecnología
<p>Database Food Projects Ministerio and Universidad de Valencia</p>
CZ DEMO KPIs in OneNet Project
<p>The file contains data on KPIs from CZ demonstration projects (CZ DEMO) . Data reflect number of flexibility providers included in the register detailing increase of flexibility available for flexibility provisions. Evaluation of the KPI (called “Increase of flexibility providing units”) is provided at the first sheet (first KPI – “Number of FSP”). Data for this particular KPI are included in the same excel file at the section “FSP”. Information on conclusion, data format and explanation are included in the <a href="https://www.onenet-project.eu/wp-content/uploads/2024/03/OneNet_D10.5_V1.0.pdf">Deliverable 10.5 section</a> (section 2.1.2).</p> <p> </p>
IS-477 Fall 2023 Final Project
End-to-end reproducible analysis of car evaluation dataset
Infografies de sis aspectes clau en el desenvolupament de projectes de ciència ciutadana
<p>Aquestes sis infografies descriuen sis aspectes clau en el desenvolupament de projectes de ciència ciutadana. Les sis idees clau són: cocreació, comunitats, eines i mètodes, dades, ètica i inclusió i acció. Cada infografia condensa diverses idees i missatges en tres columnes: per què és important l'aspecte, com es pot desenvolupar aquest aspecte i finalment un conjunt de recomanacions pràctiques.</p> <p>El material digital també està disponible al <a href="https://web.ub.edu/en/web/ciencia-ciutadana/">web</a> de la Universitat de Barcelona sobre ciència ciutadana. El material s'està utilitzant en activitats de formació certificades sobre ciència ciutadana i desenvolupat pel grup de recerca <a href="http://www.ub.edu/opensystems">OpenSystems</a>. El primer ús d'aquest material s'està fent durant un programa de formació certificada que ofereix IDP-ICE UB: Formació en ciència ciutadana: Introducció i aprofundiment en el desenvolupament de projectes de recerca participativa amb compromís social. Va tenir una durada de 10 hores i va estar orientat a un públic ampli que inclou majoritàriament personal d'universitats, representants d'organitzacions de la societat civil, estudiants universitaris i personal de l'administració pública.</p> <p>Infografia creada en el marc del projecte CSNOW amb el Grup de Treball de Ciència Ciutadana de l'IDP-ICE UB, coordinat per Josep Perelló amb l'assistència de Núria Coll-Bonfill. Les traduccions del català a l'anglès han estat possibles amb el suport del projecte TORCH EU. Disseny: <a href="https://minimalheroes.tv">Minimal Heroes</a>. </p>
BIObec Second project video
<p>The second BIObec project video was designed and developed by partner FVA with the contribution from all partners. The scope of this second video was to present the 6 Bio-based Education Centres (BBECs).</p>
Storyline Simulations Data for the paper Athanase et al.: Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean
<p>Data used for producing the Figures in the paper entitled "Projected amplification of summer marine heatwaves in a warming Northeast Pacific Ocean", Athanase et al. (Communications Earth & Environment).</p> <p>The AWI-CM-1-1-MR free runs are available in the Earth System Grid Federation (ESGF) data nodes (https://esgf-data.dkrz.de/search/cmip6-dkrz/). The ERA5 reanalysis data used in the paper can be accessed from the European Centre for Medium-Range Weather Forecasts (ECMWF; https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5). Here, we provide data from the nudged storyline simulations carried out with the AWI-CM-1-1-MR coupled climate model.</p> <p>Parameters naming convention:</p> <p>- Sea Surface Temperature ("tos").</p> <p>- Radiative Fluxes ("radiations"), including net surface heat flux ("qnet"), net surface thermal radiation ("trads"), net surface solar radiation ("srads"), latent heat flux ("ahfl"), sensible heat flux ("ahfs").</p> <p>- Low Clouds Cover ("lcc").</p> <p>- Mixed Layer Depth ("mlotst").</p> <p>- Surface Air Temperature ("tas").</p> <p>- 10 m winds ("u10","v10").</p> <p>All data is provided as the 5-member ensemble mean from the nudged storyline simulations. Data is provided for the storyline simulations of the summer 2019 Northeast Pacific marine heatwave, in different background climate conditions: preindustrial ("PI"), present-day ("PD"), and +4°C warmer world ("4K"). </p> <p> </p>
The Helicobacter pylori Genome Project (HpGP) Phase1 dataset and 255 H. pylori population reference dataset
<p>This repository holds the HpGP Phase 1 genomic dataset for Hp26695 and 1011 study samples. All 1012 genomic sequences were annotated using the NCBI Prokaryotic Genome Annotation Pipeline(PGAP). Also, it has 255 curated public available H. pylori genomic sequences used for population structure analysis in Thorell et al. Nature Communications, 14:8184 (2023).</p> <p>You can check the NCBI BioProject website for the latest annotation and sequence updates.</p> <p>https://www.ncbi.nlm.nih.gov/bioproject/?term=HpGP</p> <p>Please cite the above-mentioned paper if you use the data.</p>
Appendices to the Roadmap for action for the project More Welfare: towards new risk assessment methodologies and harmonised animal welfare data in the EU
Open the record for dataset details and reuse information.
Reporting Database of the INCENTIVE project's monitoring and evaluation activities of the Citizen Science Hubs pilot operation (M16-M31)
<p>The current excel file constitutes the INCENTIVE Reporting Database, meaning a repository of the data that were accumulated in WP4 (described within Deliverable 4.1). The results presented here are the main input for the elaboration of Deliverable 4.2 and Deliverable 4.3.</p>
CONUS-wide HUC4 Watershed Scale Hydropower Projections derived from 9505 Third Assessment
<p>This dataset provides historical and climate projection monthly hydropower generation timeseries for HUC4 watersheds within the contiguous U.S. (CONUS). These data were developed as an extension to the Department of Energy Water Power Technologies Office's SECURE Water Act Section 9505 Third Assessment (9505) and include both federal and non-federal hydropower facilities. Additional modeling detail can be found in <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad6ceb">Broman et al., 2024</a> and in the article's <a href="https://github.com/9505-PNNL/broman-etal_2024_erl">metarepository</a>. Note that in some instances multiple HUC4 watersheds have been merged together into a HUC4 group, and that HUC4 watersheds without hydropower facilities are excluded. A hydropower facility's physical location, rather than the source of water, was used in assigning facilities to HUC4 watersheds.</p> <p>The dataset is provided in three separate formats to facilitate ease of use:</p> <p>1) Machine-readable csv in 'tidy' data format:</p> <table> <tbody> <tr> <td><strong>Short Name</strong></td> <td><strong>Unit</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>class</td> <td>N/A</td> <td>simulation type; control: historical, cc: climate scenario</td> </tr> <tr> <td>forcing</td> <td>N/A</td> <td>meteorological forcing used to drive hydrology model</td> </tr> <tr> <td>model</td> <td>N/A</td> <td>hydrology model</td> </tr> <tr> <td>hp</td> <td>N/A</td> <td>hydropower model</td> </tr> <tr> <td>gcm*</td> <td>N/A</td> <td>global climate model name</td> </tr> <tr> <td>ds*</td> <td>N/A</td> <td>downscaling method; DBCCA (statistical), RegCM (dynamical)</td> </tr> <tr> <td>HUC4_group</td> <td>N/A</td> <td>HUC4 group; HUC4 numeric ID or multiple IDs</td> </tr> <tr> <td>year</td> <td>N/A</td> <td>year</td> </tr> <tr> <td>month</td> <td>N/A</td> <td>month</td> </tr> <tr> <td>modeled_generation_MWh</td> <td>MWh per month</td> <td>simulated generation</td> </tr> </tbody> </table> <p>* only present in the climate projection (cc) files</p> <p>2) xlsx with HUC4 group data by tab</p> <p>3) csv by HUC4 group:</p> <p>for historical data: year, <em>month</em>, and <em>HUC4_group</em> columns are the same as above. Data column headers are <em>class</em>_<em>forcing</em>_<em>model</em>_<em>hp</em> and with the units <em>MWh per month</em>.</p> <p>for climate projection (cc) data: year, <em>month</em>, and <em>HUC4_group</em> columns are the same as above. Data column headers are <em>class</em>_<em>forcing</em>_<em>model</em>_<em>hp_gcm_ds</em> and with the units <em>MWh per month</em>.</p>
List of business and system roles of Northern Cluster in OneNet project
<p>The list of roles includes in CSV format the names and definitions of business roles and system roles referred to in the use cases of OneNet Northern cluster. The Harmonised Electricity Market Role Model (HEMRM) defines many of the roles used. However, if not existing in HEMRM, use cases provide their own definitions, sometimes relying on the ones proposed by BRIDGE Initiative.</p> <p>The context of usage of the roles in business use cases and system use cases can be found here: <a href="https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf">https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf"> https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf">https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf</a></p> <p> The explanation of HEMRM can be found here: <a href="https://mwgstorage1.blob.core.windows.net/public/Ebix/Harmonised_Role_Model_2023-01.pdf">https://mwgstorage1.blob.core.windows.net/public/Ebix/Harmonised_Role_Model_2023-01.pdf</a></p> <p> The explanation of additions to HEMRM as proposed by BRIDGE Initiative: <a href="https://energy.ec.europa.eu/system/files/2021-06/bridge_wg_regulation_eu_bridge_hemrm_report_2020-2021_0.pdf">https://energy.ec.europa.eu/system/files/2021-06/bridge_wg_regulation_eu_bridge_hemrm_report_2020-2021_0.pdf</a></p>
A Dataset of Atoms of Confusion in the Android Open Source Project
<p>This is a dataset cataloging the presence of Atoms of Confusion in the Android Open Source Project, alongside metrics<br>of object-oriented software development.</p> <p> </p> <h3>Schema</h3> <h4>ac_reports</h4> <p><strong>id </strong>INTEGER The primary key <br>project_name VARCHAR Name of the project/repository in the AOSP<br>line INTEGER NOT NULL Line where the AC was found<br>snippet VARCHAR NOT NULL The excerpt of code that represents the Atom of Confusion<br>class_name VARCHAR Name of the class where the AC was found<br>ac VARCHAR NOT NULL Type of Atom of Confusion<br>path VARCHAR Path to the file in the AOSP superproject<br>"commit" VARCHAR SHA of the commit of the file in the repository<br>loc VARCHAR Number of lines of code in the file</p> <h4>files</h4> <p>path VARCHAR The path of the file</p> <p>loc INTEGER Lines of code</p> <p>project_name VARCHAR Name of the project/repository in the AOSP</p> <h4>projects</h4> <p>name VARCHAR The name of the project/repository in the AOSP</p> <p> </p> <h4>classes</h4> <p>id INTEGER The primary key </p> <p>file_path VARCHAR Path to the file in the AOSP superproject</p> <p>name VARCHAR Name of the class</p> <p>type VARCHAR The type of class (e.g. interface, anonymous...)</p> <p>cbo INTEGER From CK: Coupling between objects, number of dependencies a class has.</p> <p>"cboModified" INTEGER From CK: Coupling between objects, number of dependencies a class has. (References from other classes to this class + references from this class to other classes)</p> <p>fanin INTEGER From CK: number of classes that reference this particular class.</p> <p>fanout INTEGER From CK: the number of classes referenced by this class</p> <p>wmc INTEGER From CK: Weight Method Class | McCabe's complexity | Cyclomatic Complexity</p> <p>dit INTEGER From CK: Depth Inheritance Tree</p> <p>noc INTEGER From CK: Number of Children</p> <p>rfc INTEGER From CK: Response for Class</p> <p>lcom INTEGER From CK: Lack of Cohesion of Methods</p> <p>lcom_normalized DOUBLE From CK: Refers to the LCOM* metric that computes Lack of Cohesion of Methods between 0 and 1.</p> <p>tcc DOUBLE From CK: Tight Class Cohesion</p> <p>lcc DOUBLE From CK: Loose Class Cohesion</p> <p>"totalMethodsQty" INTEGER From CK: Number of methods (constructors are included)</p> <p>"staticMethodsQty" INTEGER From CK: Number of static methods</p> <p>"publicMethodsQty" INTEGER From CK: Number of public methods</p> <p>"privateMethodsQty" INTEGER From CK: Number of private methods</p> <p>"protectedMethodsQty" INTEGER From CK: Number of protected methods</p> <p>"defaultMethodsQty" INTEGER From CK: Number of default methods</p> <p>"visibleMethodsQty" INTEGER From CK: Number of visible methods</p> <p>"abstractMethodsQty" INTEGER From CK: Number of abstract methods</p> <p>"finalMethodsQty" INTEGER From CK: Number of final methods</p> <p>"synchronizedMethodsQty" INTEGER From CK: Number of synchronized methods</p> <p>"totalFieldsQty" INTEGER From CK: Number of fields</p> <p>"staticFieldsQty" INTEGER From CK: Number of static fields</p> <p>"publicFieldsQty" INTEGER From CK: Number of public fields</p> <p>"privateFieldsQty" INTEGER From CK: Number of private fields</p> <p>"protectedFieldsQty" INTEGER From CK: Number of protected fields</p> <p>"defaultFieldsQty" INTEGER From CK: Number of default fields</p> <p>"finalFieldsQty" INTEGER From CK: Number of final fields</p> <p>"synchronizedFieldsQty" INTEGER From CK: Number of synchronized fields</p> <p>nosi INTEGER From CK: Number of static invocations</p> <p>loc INTEGER From CK: Lines of code</p> <p>"returnQty" INTEGER From CK: Number of return statements</p> <p>"loopQty" INTEGER From CK: Number of repetition structures (while, for)</p> <p>"comparisonsQty" INTEGER From CK: Number of comparisons, e.g. ==, !=</p> <p>"tryCatchQty" INTEGER From CK: Number of try...catch statements</p> <p>"parenthesizedExpsQty" INTEGER From CK: Number of expressions inside parenthesis.</p> <p>"stringLiteralsQty" INTEGER From CK: Number of string literals. Repeated strings are counted as well.</p> <p>"numbersQty" INTEGER From CK: Number of numbers, e.g. ints, floats, doubles</p> <p>"assignmentsQty" INTEGER From CK: Number of assignments, usage of the = operator.</p> <p>"mathOperationsQty" INTEGER From CK: Number of math operations.</p> <p>"variablesQty" INTEGER From CK: Number of variables</p> <p>"maxNestedBlocksQty" INTEGER From CK: Number of the highest nested block in the class.</p> <p>"anonymousClassesQty" INTEGER From CK: Number of anonymous classes</p> <p>"innerClassesQty" INTEGER From CK: Number of inner classes</p> <p>"lambdasQty" INTEGER From CK: Number of lambdas</p> <p>"uniqueWordsQty" INTEGER From CK: Number of unique words in the source file</p> <p>modifiers INTEGER From CK: Number of modifiers in class/methods (usage of "public", "static", "abstract"...)</p> <p>"logStatementsQty" INTEGER, From CK: Number of log statements.</p> <p> </p> <h4>methods</h4> <p>id_ INTEGER NOT NULL The primary key</p> <p>file_path VARCHAR NOT NULL Path to the file in the AOSP superproject</p> <p>class_id INTEGER NOT NULL ID of the class where this method is</p> <p>name VARCHAR NOT NULL The name of the method</p> <p>constructor BOOLEAN NOT NULL From CK: True if method is a constructor</p> <p>line INTEGER From CK: Line where this method is located</p> <p>cbo INTEGER From CK: Coupling between objects, number of dependencies a class has.</p> <p>"cboModified" INTEGER From CK: Coupling between objects, number of dependencies a class has. (References from other classes to this class + references from this class to other classes)</p> <p>fanin INTEGER From CK: number of classes that reference this particular class.</p> <p>fanout INTEGER From CK: the number of classes referenced by this class</p> <p>wmc INTEGER From CK: Weight Method Class | McCabe's complexity | Cyclomatic Complexity</p> <p>rfc INTEGER From CK: Response for Class</p> <p>loc INTEGER From CK: Lines of code</p> <p>"returnQty" INTEGER From CK: Number of return statements</p> <p>"variablesQty" INTEGER From CK: Number of variables</p> <p>"parametersQty" INTEGER From CK: Number of parameters</p> <p>"methodsInvokedQty" INTEGER From CK: all methods invoked</p> <p>"methodsInvokedLocalQty" INTEGER From CK: methods invoked locally</p> <p>"methodsInvokedIndirectLocalQty" INTEGER From CK: number of indirect local invocations</p> <p>"loopQty" INTEGER From CK: Number of repetition structures (while, for)</p> <p>"comparisonsQty" INTEGER From CK: Number of comparisons, e.g. ==, !=</p> <p>"tryCatchQty" INTEGER From CK: Number of try...catch statements</p> <p>"parenthesizedExpsQty" INTEGER From CK: Number of expressions inside parenthesis.</p> <p>"stringLiteralsQty" INTEGER From CK: Number of string literals. Repeated strings are counted as well.</p> <p>"numbersQty" INTEGER From CK: Number of numbers, e.g. ints, floats, doubles</p> <p>"assignmentsQty" INTEGER From CK: Number of assignments, usage of the = operator.</p> <p>"mathOperationsQty" INTEGER From CK: Number of math operations.</p> <p>"maxNestedBlocksQty" INTEGER From CK: Number of the highest nested block in the class.</p> <p>"anonymousClassesQty" INTEGER From CK: Number of anonymous classes</p> <p>"innerClassesQty" INTEGER From CK: Number of inner classes</p> <p>"lambdasQty" INTEGER From CK: Number of lambdas</p> <p>"uniqueWordsQty" INTEGER From CK: Number of unique words in the source file</p> <p>modifiers INTEGER From CK: Number of modifiers in class/methods (usage of "public", "static", "abstract"...)</p> <p>"logStatementsQty" INTEGER, From CK: Number of log statements.</p> <p>"hasJavaDoc" BOOLEAN From CK: True if method has a JavaDoc</p>
Projected trophic changes in species-carrying capacities under climate change scenarios
<p>Climate controls the amount of energy available for plants, which in turn determines the quantity of resources available for animals. It follows that when climate changes, so should trophic communities. Using a novel modeling approach, we investigate how bird and mammal trophic communities might disassemble and reassemble under 21<sup>st</sup> century climate changes. We show that trophic structures are expected to undergo profound changes globally, chiefly in the tropics and across high latitudes in the northern hemisphere. This trophic reorganization of communities is characterized by shifts in species richness within trophic guilds. While some guilds might face population collapses, others are projected to find new opportunities to maintain stable populations in previously inhospitable areas. The proposed models offer a tool for projecting and understanding the trophic ramifications of climate change, highlighting their potential in guiding future research and conservation efforts.</p>
A lack of open data standards for large infrastructure projects hampers social-ecological research in the Brazilian Amazon
<p>List of papers used in literature review for "A lack of open data standards for large infrastructure projects hampers social-ecological research in the Brazilian Amazon"</p>
OneNet project - KPIs repository
<p>This data set is the result of the work carried out in the OneNet project related to the evaluation of demonstrators' results.<br> <br>The data set consists of the KPI values that were achieved in all OneNet demonstrators, as well as their characterization and a brief description of the objectives for calculating each KPI. In the complementary document, the calculation methodologies and formulas of each KPI are reported.</p>
Data and code for "Extreme and compound ocean events are key drivers of projected low pelagic fish biomass"
<p>This repository provides the data and code for the paper "Extreme and compound ocean events are key drivers of projected low pelagic fish biomass". Almost all data required to produce the figures in this study are provided. However, not all raw data are provided, because of too large file sizes. For more information, please contact natacha.legrix@unibe.ch</p> <p>In Version 2, an error has been corrected in the computation of the grid cell area, which significantly affected values in Fig. A1.</p>
Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion - NCN Poland Project - Dataset Feb.2024
<p>Dataset contains results obtained during the first year of the project No. 2021/40/C/ST5/00071 "Novel biodegradable Zn alloys obtained by rapid solidification and high pressure torsion" funded by NCN Poland. </p> <p>The dataset contains: SEM, TEM, nanoindentation, hardness and uniaxial tensile testing results. </p>
Open dataset of 20 interviews with senior service designers and managers for the Empathy Business research project
<p>The aim of the Empathy Business research project (2023-2024) led by the University of Lapland focused on how to digitalize services and business prototyping through creativity. The research named challenges as well as design methods for developing digital tools for meeting the future needs of service design and business development.<br><br>In total, 20 interviews among senior service designers and managers located in Europe, Latin America and Asia were conducted during spring 2023. The interviews provide perspectives related to the future of service design as a practise, the skills required and further issues of relevance for professionals in the field. Based on affinity diagramming eight main clusters were named: Sustainability, Business compatibility, New tools, Designer’s skills, Art-based methods, People in the centre, Online workshops, and Physical workshops.<br><br>This data set includes an anonymized list of the interviewees, affinity diagram post-it notes of the interviews, short descriptions of the main clusters and an internet link to the online affinity diagram on Miro board.<br><br>The materials provided initial insights for developing Proof-of-Concepts for digitized interfaces, such as suitable plugins, 3D-based photorealistic solutions, or an application with the potential to be used in service design and service prototyping contexts as well as in other development processes within and across organizations.</p>
List of information objects of Northern Cluster in OneNet project
<p>List of information objects includes in CSV format the names and descriptions of role-to-role data exchanges referred to in the use cases of OneNet Northern cluster.</p> <p>The context of usage of the information objects in business use case and system use cases can be found here: <a href="https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf">https://onenet-project.eu/wp-content/uploads/2023/10/D7.2_OneNet_v1.0.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf"> https://onenet-project.eu/wp-content/uploads/2023/05/OneNet_D7.3_v1.0-1.pdf</a>,<a href="https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf">https://onenet-project.eu/wp-content/uploads/2022/12/OneNet_D7.4_v.1.0.pdf</a></p>
THE NATURE OF X-RAYS FROM YOUNG STELLAR OBJECTS IN THE ORION NEBULA CLUSTER - A Chandra HETGS Legacy Project
<p><span>This first release provides the community with a first cut of confusion cleaned X-ray spectra of the Orion Nebula Cluster observed with the HETG onboard the Chandra X-ray Observatory. The data were taken starting in 1999 until 2021. <br><br>The confusion cleaning is based on several aspects of sources for confusion, which includes cluster point sources intersecting with grating dispersions, grating arms intersecting each other in CCD space, as well as grating dispersion overlaps prohibiting proper order sorting. The latter is a major effect and resulted in sometimes severe data losses. In the first release, our automated procedure took care of the vast majority of point sources and grating arm intersections. With respect to the dispersion arm overlaps, in this release we took a statistical approach optimizing the agreement of all four grating dispersion arms in the merged data to agree within a 1 sigma statistical uncertainty over 90% of the bandpass between 2 and 15 Angstrom. For that we used the zero order flux fractions of the interfering sources as the driving parameter. <br><br>There are still many caveats and rooms for improvement, which we will address in upcoming releases, which include the treatment of the increasing background at high dispersion, improve extraction efficiency, exclude observations with non-detections before confusion cleaning, include possible new detections, investigate the 5 A excess we observe in the HEG, though at low statistics, spotcheck individual observations for any residual issues. <br><br>Release 1 provides the community with an excellent starting point for addressing our identified science projects. Out of the 46 sources that were extracted, 37 resulted in valid spectral data. 7 sources have less than 1000 counts in 1st order, some of those may not yet be very useful. <br></span></p> <p> </p> <p>Each directory contains the merged cleaned spectrum and responses for<br>one source. The file "pha2" is a Type II PHA file (multiple spectra)<br>containing the four first order spectra, HEG -1, HEG +1, MEG -1, and<br>MEG +1. Headers have been edited indicate the object (OBJECT), and<br>start and stop times for the set of observations. Since the exposure<br>depends on order, due to the cleaning process, EXPOSURE is a column in<br>the data table. Some other keywords now say "MERGED" since they can<br>vary with observation.</p> <p>There is one effective area file per order (".arf" files). These have<br>also been merged by zeroing out the same regions as excluded in the<br>count spectra, and summed weighting by exposure. They also have<br>similar header edits as for the spectra.</p> <p>While the exposures in headers may say 2 Ms, the actual exposure at<br>any wavelength may be much less. This is not explicitly known, but is<br>implicit in the ignored wavelength regions in the merged counts and<br>responses.</p> <p>There is one grating response matrix (".rmf" files) per order. Since<br>all spectral extractions of all sources used the same cross-dispersion<br>region, there is no change in these files between sources. One set<br>suffices for all extractions. These are in the directory "RMFs", and<br>also for convenience have symbolic links in each source directory.</p> <p>HETG background files have also been provided, one PHA file per first<br>order, in directory HETG_Background. These have been derived from<br>long observations of blank fields. Details are provided in the<br>accompanying memo, hetg_background.pdf.</p> <p>Headers have not been designed for auto-loading of responses (that is<br>CORRFILE, RESPFILE, and BACKFILE are set to 'none').</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.