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4,684 results for “Criticality”
French-language art critics bibliographies dataset
<p>French-language art critics active between the mid-19<sup>th</sup> and 20<sup>th</sup> centuries (see <a href="http://critiquesdart.univ-paris1.fr/en">http://critiquesdart.univ-paris1.fr/en</a>). Each author’s page displays their primary and secondary bibliographies and identified archival sources. These documents are based on extensive research to produce primary bibliographies that can be considered to be comprehensive. For those writers whose complete works have been published, only their writing on art is listed. This online directory doubles as a database of primary bibliographies for the critics listed.</p> <p>This dataset is neutral and non-discriminating, with no typology or classification other than the text format. It is multidisciplinary and makes no claim to assess the critical value of a text, preferring to provide as comprehensive an overview as possible of the authors’ literary output in whatever field (literature, art, politics, history, etc.) or medium (photography, film, fine arts, architecture, etc.) their interest encompassed.</p> <p>Since these authors all wrote in French, they come from the artistic scenes in France, Belgium and Switzerland, not to mention the colonies of the period. Authors who wrote in more than one language are also included.</p> <p>Our intention is to showcase research into art criticism, improve access to the documents and create links between researchers. The site will be gradually updated and enriched by the addition of further authors and greater detail for its current bibliographies.</p> <p><strong>Full mysql database : "<a href="https://zenodo.org/api/files/62e9c484-74ae-456f-91f1-bb8dde962d11/critiquesdart_08_02_2022.sql?versionId=02fdf2bb-4b38-43b0-9c2c-1bf32b8997a9">critiquesdart_08_02_2022.sql</a>", see </strong><a href="https://doi.org/10.7202/1079443ar">https://doi.org/10.7202/1079443ar</a> for more details (in french).</p> <p><strong>Data set 1 : " <a href="https://zenodo.org/record/3999374/files/database_journal_list.csv?download=1">database_journal_list.csv</a> " description (en/fr) :</strong></p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"title": title of the journal</li> <li>"ISSN": International identifier for serial publications</li> <li>"temporal_cover": Start and end dates of publication</li> <li>"city": place of publication, if known, otherwise NULL</li> </ul> <p><strong><em>descriptif des champs :</em></strong></p> <ul> <li>"titre": titre de la revue</li> <li>"ISSN": Identifiant International des publications en série</li> <li>"couverture_temporelle": Dates de début et de fin de publication</li> <li>"ville": lieu de publication, si connu, sinon NULL</li> </ul> <p><strong>Dataset 2 : " <a href="https://zenodo.org/api/files/4023bb1d-b185-432c-bbae-1d4b27277468/Notices_critiques.csv?versionId=d682a60a-3e7e-4dc3-aee0-14636b4ac387">Notices_critiques.csv </a> " description (en/fr) : list of all the critics in the database (see http://critiquesdart.univ-paris1.fr/annuaire_critiques.php).</strong></p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"id": identifier in the database</li> <li>"first name": First name of the author, if known, otherwise empty</li> <li>"name": Author's last name</li> <li>"birth": Year of birth</li> <li>"death": date of death</li> <li>"ISNI": International Standard Name Identifying people</li> </ul> <p><em><strong>descriptif des champs :</strong></em></p> <ul> <li>"id ": identifiant dans la base</li> <li>"prenom ": Prénom de l'auteur, si connu, sinon vide</li> <li>"nom": Nom de famille de l'auteur</li> <li>"naissance": Année de naissance</li> <li>"mort": date de mort</li> <li>"ISNI": International Standard Name Identifier des personnes</li> </ul> <p><strong>Dataset 3 : "</strong><a href="https://zenodo.org/api/files/4023bb1d-b185-432c-bbae-1d4b27277468/full_notices_dataset.csv?versionId=8d851f6a-f0ba-4989-ba85-a5b825fbd164">full_notices_dataset.csv</a>" <strong>description (en/fr) :</strong> List of all the notices</p> <p><em><strong>description of the fields:</strong></em></p> <ul> <li>"critical_id": id of the review in the database</li> <li>"title": title of the review</li> <li>"subtitle": subtitle of the review, otherwise NULL</li> <li>"type": type of criticism</li> <li>"author_id": author's id in the database</li> <li>"name": name of the author reviewer</li> <li>"first name": first name of the author critic</li> <li>"annee_ouvrage": year of publication if the review is a work or part of a work, otherwise NULL</li> <li>"coordinator": potential coordinator of the structure, otherwise NULL</li> <li>"titre_ouvrage": title of the work if the review is an article, otherwise NULL</li> <li>"annee_periodique *": year of publication if the review is an article, otherwise NULL</li> <li>"periodic_title": name of the journal if the review is an article, otherwise NULL</li> <li>"city": place of publication, if known, otherwise NULL</li> </ul> <p><em><strong>descriptif des champs :</strong></em></p> <ul> <li>"id_critique": id de la critique dans la base</li> <li>"titre": titre de la critique</li> <li>"sous titre": sous titre de la critique, sinon NULL</li> <li>"type": type de critique</li> <li>"id_auteur": id de l'auteur dans la base</li> <li>"nom": nom du critique auteur</li> <li>"prenom": prénom du critique auteur</li> <li>"annee_ouvrage": année de parution si la critique est un ouvrage ou partie d'un ouvrage, sinon NULL</li> <li>"coordonateur": coordonateur potentiel de l'ouvrage, sinon NULL</li> <li>"titre_ouvrage": titre de l'ouvrage si la critique est un article, sinon NULL</li> <li>"annee_periodique *": année de parution si la critique est un article, sinon NULL</li> <li>"titre_periodique": nom de la revue si la critique est un article, sinon NULL</li> <li>"ville": lieu de publication, si connu, sinon NULL</li> </ul>
Global spatially explicit critical nitrogen surpluses and critical nitrogen inputs, and their exceedances
<p>Data files belonging to manuscript:</p> <p>Schulte-Uebbing, LF, AHW Beusen, AF Bouwman & W de Vries (2022): From planetary to regional boundaries for agricultural nitrogen pollution. <strong>Nature</strong>, Vol 610 (7932), https://doi.org/10.1038/s41586-022-05158-2</p> <p>* Input datafiles: Contains complete set of input files used in the calculations of global, spatially explicit critical nitrogen surpluses and critical nitrogen inputs. All input files are output from the IMAGE-GNM model. For further information on IMAGE-GNM, see: Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M., & Middelburg, J. J. (2015). Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water - Description of IMAGE-GNM and analysis of performance. Geoscientific Model Development, 8(12), 4045–4067. https://doi.org/10.5194/gmd-8-4045-2015</p> <p>* Output datafiles: Selection of output datafiles, supporting results presented in the paper. </p> <p>For more information, see file "README.xlsx".</p>
First genetic data for the Critically Endangered Cuban endemic Zapata Rail Cyanolimnas cerverai, and the taxonomic implications
<p>Data associated with the publication First genetic data for the Critically Endangered Cuban endemic Zapata Rail <em>Cyanolimnas cerverai</em>, and the taxonomic implications.</p>
Raw data to "Scaling at quantum phase transitions above the upper critical dimension"
<p>This directory contains the data used to generate the numerical results in the work "Scaling at quantum phase transitions above the upper critical dimension[1]".</p> <p>To get an overview of the organization of the directory and a description of the data we recommend the README file.</p> <p>[1]: A. Langheld et al., Scaling at quantum phase transitions above the upper critical dimension, <a href="https://scipost.org/10.21468/SciPostPhys.13.4.088">SciPost Phys. <strong>13</strong> 088</a>, 2022.</p>
Methodological and practical lessons learned from exploring the material criticality of two hydrogen-related products
<p>As the European Union embarks on the energy transition, several challenges need to be faced to ensure that this shift is conducted from a holistic perspective that avoids burden-shifting across sustainability dimensions. One of the main concerns refers to the future availability of materials that clean technologies require. Critical raw<br>material assessment serves to guide the management of such mineral resources in a new paradigm of increasing demand. This work delves into the methodological fundamentals of several product-level criticality indicators in order to discuss their implications within the context of the ecodesign of two hydrogen-related products. Overall, criticality is advised to be assessed making use of several indicators. In the case study of a proton exchange membrane fuel cell stack, the combined interpretation of criticality indicators leads to identifying platinum as the main hotspot, while yttrium and lanthanum account for the most relevant criticality contributions in the case<br>study of a solid oxide electrolysis cell stack.</p>
Group size effects and critical mass in public goods games
<pre>This dataset accompanies the paper "Group size effects and critical mass in public goods games", https://doi.org/10.1038/s41598-019-41988-3 It records participant decisions in a set of binary one-shot Public Goods Games with curvilinear payoff function (see details in the paper). The explanation of the data fields is present also in the metadata of the file: # Cooperation: 0=defection, 1=cooperation, 99=the participant did not make the decision # Group: interacting group size (N) # Treatment: Critical Mass Nc # dropout: 1=the participant did not make the decision, 0=the participant made the decision # incompleted: 1=participant did not make all the decisions of the experiment; 0=participant did made all the decisions of the experiment # female: 1=female, 0=male </pre> <p> </p>
Critical Assessment of automated Structure Determination of Proteins by NMR
<p>The community-wide initiative "Critical Assessment of Automated Structure Determination of Proteins by NMR (<strong>CASD-NMR</strong>)" was launched in 2009 to to evaluate the ability of automated methods to produce 3D protein structures from NMR data that closely match structures manually determined by experts.</p> <p>This dataset includes all the experimental data made available to the participants of CASD-NMR in the two completed rounds of the initiative.</p> <p>Also refer to http://www-nmr.cabm.rutgers.edu/blindtest/blind.html for additional details, including first release date and link to each final PDB entry</p>
Dataset: Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assessments
<p>The Physical Vulnerability Database for Critical Infrastructure Hazard Risk Assements is a database that contains fragility and vulnerability curves that can be used to evaluate the expected or potential damages to infrastructure assets due to flooding, earthquakes, windstorms and landslides. The database consists of three Excel-spreadsheets:</p> <ul> <li><em>Table_D1_Summary_CI_Vulnerability_Data:</em> summary table with information on hazard, exposure, and vulnerability characteristics as well as a number of details regarding reliability and reference purposes.</li> <li><em>Table_D2_Hazard_Fragility_and_Vulnerability Curves:</em> collection of fragility and vulnerability curves</li> <li><em>Table_D3_Costs:</em> cost values that can be used in combination with the curves for the estimation of asset damages</li> </ul> <p>Please consult the following publication for detailed information: Nirandjan, S., Koks, E. E., Ye, M., Pant, R., van Ginkel, K. C. H., Aerts, J. C. J. H., and Ward, P. J.: Review article: Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments – A systematic review and data collection, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-208, in review, 2024.</p>
Supplementary data to Challenges and Opportunities for the Recovery of Critical Raw Materials from Electronic Waste
<p>Content of the excell file:</p> <p>Table S1: Relationship between UNU-keys and MINCOTUR codes</p> <p>Table S2: UNU-Key composition and alpha and beta values for Weibull distributions</p> <p>Table S3: Metal prices used in this study.</p>
Introducing the DHARPA Project: An interdisciplinary lab to enable critical DH practice
<p>Traditional humanities research has been leveraged but also destabilised by the increasing accessibility of digitized sources and computational tools for analysis. As traditional close reading methods alone are no longer sufficient to analyse such an unprecedented mass of digital data, a plethora of platforms have appeared in order to help researchers query and visualise the networks and patterns latent in these sources. However, this flood of data and push-button technologies has also threatened to obscure through abundance and instill in scholars a false sense of mastery. Some scholars have criticized DH for its naive and starry-eyed application of computational techniques, citing not only how the uncritical adoption of black-box technologies affects substantive research but also how it reproduces a positivism at odds with the purpose of humanities inquiry (e.g., Liu 2012; Chun 2013; Jagoda 2013; Raley 2013; Allington et al 2016; Brennan 2017; Grimshaw 2018). Both uncritical DH practice and the software it employs can be compared to a “Mechanical Turk,” with the decisions and interventions made by the researcher hidden from view and only the well-oiled and seemingly autonomous product on display. These trends have constituted a crisis for humanities scholarship but also an extraordinary opportunity to transform the field.</p> <p>In this presentation, we introduce the Digital History Advanced Research Projects Accelerator (DHARPA), a diverse and interdisciplinary research and development laboratory based in the University of Luxembourg’s Centre for Contemporary and Digital History (C²DH). While software development is central to our project, our aim is not merely to build more tools but to encourage methodologies that self-reflexively examine the interaction of technology and historical practice. We want to show how the application of expertise works in tandem with technology to produce knowledge, how digitally enabled research is not a product but rather a process, reliant on the critical engagement of the scholar. We want scholars to open the black box and to be empowered to tinker with what’s inside.</p> <p>DHARPA is multifaceted:</p> <p><strong>Software and infrastructure development:</strong></p> <p>Our software will be free and open-source and backed by a long-term sustainability plan and training opportunities to encourage widespread and confident adoption. Users will be able to run the software remotely or to download the software for local use, and to rely on a generalizable hosting infrastructure that ensures privacy, portability, and sustainability. Built for both humanities scholars and social scientists, we plan to include modules for: data ingestion, data standardisation, textual analysis, network analysis, geographical analysis and bring them within a seamless environment, where work can flow between tasks from experimentation and modelling to presentation and dissemination.</p> <p><strong>Developing best practice through design:</strong></p> <p>Central to DHARPA is the creation of a Virtual Research Environment that will enable scholars to engage with their data while promoting critical historical practice. Our interactive software will cultivate the holistic practice of interweaving data, code, computational functionality, and metadata with a narrative of researcher’s choices and actions. Documenting academic labour makes its value evident, while also making it reproducible and keeping it honest: it allows scholars to take ownership of their interventions.</p> <p><strong>Collaborations:</strong></p> <p>DHARPA staffs a responsive laboratory that will rapidly prototype and launch applied solutions. We work with other academics at the C²DH and within a wider, international and interdisciplinary scholarly community.</p> <p><strong>Training and outreach:</strong></p> <p>As the project progresses, we will be introducing our software to the academic community through workshops at the University of Luxembourg and international conferences as well as through publications. Further to our ethos that scholarship is an iterative process, we welcome feedback to improve our software and specifications.</p>
DATASETS and OUTCOMES - Assessment of intrinsic aquifer vulnerability at continental scale through a critical application of the DRASTIC method: the case of South America
<p>A robust and comprehensive assessment of intrinsic aquifer vulnerability at continental scale map may represent an essential initial step towards a more sustainable land-use and water management.</p> <p>This repository contains the outcomes of an intrinsic aquifer vulnerability assessment of South America, performed by the DRASTIC method. The assets included in this repository are mainly raster maps (.tif, .geotif), created and georeferenced in QGIS (v3.16). Coordinate reference system (CRS) of the dataset is WGS84.</p> <p>Technical specifications of all graphical outcomes are stored in a dedicated file (README.txt).</p>
Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"
<p>Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies show that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. This qualitative study investigates the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. We performed two industry case studies based on online focus group sessions. Developers discussed how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns. An example of perceived interrelation is high complexity leading to high coupling.</p>
Appendices of the work "On the perceived relevance of critical internal quality attributes when evolving software features"
<p>Several refactorings performed while evolving software features aim to improve internal quality attributes like cohesion and complexity. Studies show that non-assisted refactorings might worsen, not improve, internal attributes. Current knowledge is scarce on how developers perceive the relevance of critical internal attributes while evolving features. Internal attributes are critical if their measurement assumes anomalous values. This qualitative study investigates the developer's perception on the relevance of critical internal attributes when evolving features. We target six class-level critical attributes: low cohesion, high complexity, high coupling, large hierarchy depth, large hierarchy breadth, and large size. We performed two industry case studies based on online focus group sessions. Developers discussed how much (and why) critical attributes are relevant for adding or enhancing features. We assessed the relevance of critical attributes individually and relatively, reasons behind the relevance of each critical attribute, and interrelations of critical attributes. Low cohesion and high complexity were perceived as very relevant because they often make evolving features hard while tracking failures and adding features. The other critical attributes were perceived as less relevant when reusing code or adopting design patterns. An example of perceived interrelation is high complexity leading to high coupling.</p>
Research data for Critical review of heat pump prototype operation and required modications
<p>In this dataset, the data of the first experimental test campaign of the CO2-ice heat pump is shared. The report, which analyzes the data and makes the necessary explanations, has already been shared as a "Critical review of heat pump prototype operation and required modifications (Deliverable: D5.5)".</p>
Genome-wide screen reveals Rab12 GTPase as a critical activator of pathogenic LRRK2 kinase
<p>Primary data associated with the figure 1 of the manuscript "<strong>Genome wide screen reveals Rab12 GTPase as a critical activator of pathogenic LRRK2 kinase" </strong>(Herschel S. Dhekne, Francesca Tonelli, Wondwossen M. Yeshaw, Claire Y. Chiang, Charles Limouse, Ebsy Jaimon, Elena Purlyte, Dario Alessi, and Suzanne Pfeffer). </p> <p>These include </p> <p>- data (annotated .tiff exports) from Metamorph acquired spinning disk confocal microscope</p> <p>- sequencing data as fastq files .gz files from Hiseq or Miseq next generation sequencing, </p> <p>- graphs made using GraphPad Prism (.pzf files).</p> <p>- flow cytometry .fcs files and workspace files</p> <p>- <a href="https://zenodo.org/api/files/de4d1da1-785a-4f55-a542-876647a2a5ad/Figure%201-%20file%20names%20legend.xlsx">Figure 1- file names legend.xlsx</a> excel sheet explaining the details</p>
Supplementary Material for 'Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems'
<p>This repository contains the supplementary material for the publication 'Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems'.<br> It consists of four files:</p> <ol> <li>Criticality-Phenomena-Catalog.CSV: The catalog of criticality phenomena (CP)</li> <li>Criticality-Phenomena-Phi-Coefficient.CSV: The calculation of the Phi coefficient between all pairs of CP</li> <li>Criticality-Phenomena-Risk-Calculation.CSV: The case-phenomenon relation matrix, including the calculated values for the risk of each CP for all three severity levels</li> <li>Criticality-Phenomena-Sorted-By-Risk.CSV: A list of the CP from the CP catalog sorted by risk for all three severity classes</li> </ol>
Result data related to "Bersalli et al. (2024): Economic crises as critical junctures for policy and structural changes towards decarbonization – the cases of Spain and Germany"
<p>Result data related to "Bersalli et al (2024): Economic crises as critical junctures for policy and structural changes towards decarbonization – the cases of Spain and Germany". The following files are included:</p> <ul> <li>"Energy policy 2020-21 Germany-Spain.xlsx": Policy measures supporting clean energy during the Covid-19 pandemic in Germany and Spain. Data from <a href="http://energypolicytracker.org/">EnergyPolicyTracker.org</a>, amended by the authors.</li> <li> "factors.csv": Time series of emissions, population, GDP, energy intensity, and carbon intensity. Data derived from BP and Eurostat.</li> <li>"multiplicative-contribution-factors.csv": Time series of relative growth in the factors.</li> <li>"relative-cumulative-contribution-factors.csv": Time series of cumulative relative growth in the factors.</li> <li>"periods.csv": Relative growth in the factors during the global financial and COVID19 crises and before (pre) and after (post) the global financial crisis.</li> </ul>
Mapping the planet's critical areas for biodiversity and people
<p>Data associated with "Mapping the planet's critical areas for biodiversity and people"</p> <p>Abstract: Meeting global commitments to conservation, climate, and sustainable development requires consideration of synergies and tradeoffs among targets. We evaluate the spatial congruence of ecosystems providing globally high levels of nature’s contributions to people, biodiversity, and areas with high development potential across several sectors. We find that conserving approximately half of global land area through protection or sustainable management could provide 90% of the current levels of ten of nature’s contributions to people and meet minimum representation targets for 26,709 terrestrial vertebrate species. This finding supports recent commitments by national governments under the Global Biodiversity Framework to conserve at least 30% of global lands and waters, and proposals to conserve “half Earth”. More than one-third of areas required for conserving nature’s contributions to people and species are also highly suitable for agriculture, renewable energy, oil and gas, mining, or urban expansion. This indicates potential conflicts among conservation, climate and development goals.</p> <p>This dataset contains code and outputs of spatial optimizations run using prioritizr (https://prioritizr.net/index.html). R code used to run the spatial optimizations is contained in a zipfile named "code.zip".</p> <p>Output data includes raster files (TIF format). Raster values are 0-1, where 1 means the grid cell was selected to achieve a particular target, 0 means the grid cell was not selected, and values between 0 and 1 indicate a grid cell was partially selected.</p> <p>Three variations of the spatial optimization were run. Each TIF or ZIP file contains the outputs from one of these variations:</p> <ol> <li>NCP (Nature's contributions to people) only <ol> <li>File name: NCP_only_2km.zip (ZIP file)</li> </ol> </li> <li>NCP and biodiversity, prioritization run at 10km then masked to natural and semi-natural habitat at 2km <ol> <li>File names: es00bio1_nathab_mask.tif, es05bio1_nathab_mask.tif, etc. (TIF files)</li> </ol> </li> <li>NCP and biodiversity, with protected areas and OECM (WDPA) locked in <ol> <li>File name: NCP_biod_WDPA_nathab.zip (ZIP file)</li> </ol> </li> </ol> <p>Within each variation, 19 different spatial optimizations were run, with NCP targets ranging from 5%-95% in 5% increments.</p> <ul> <li>Raster filenames within ZIP files indicate the NCP (ecosystem service) target (for example, es05 indicates a target of 5%)</li> <li>Whether biodiversity was included or not (for example, bio1 indicates biodiversity was included, bio0 indicates it was not)</li> </ul> <p>Two additional TIF files were included, which are the result of summing the rasters from the above scenarios. Raster values range from 0-19, where 19 indicates grid cells selected in all scenarios, 0 indicates grid cells selected in 0 scenarios. Higher values (e.g. 19) indicate cells with the highest levels of NCP globally in the least amount of area. These rasters were used to create Figure 2 in the paper.</p> <ol> <li>NCP_only_2km_sum - NCP only scenario, all rasters summed.</li> <li>NCP_biod_nathab_sum - NCP and biodiversity scenario, masked to natural habitat, all rasters summed.</li> </ol> <p>Additional files include:</p> <ol> <li>dpi.tif - Development Potential Index raster</li> <li>dpi_key.csv - legend describing the DPI raster values</li> <li>HDP_DriverCats.tif - High Development Potential areas disaggregated by sector (raster)</li> <li>HDP_DriverCats_key.csv - legend describing the HDP raster values</li> <li>es90bio1_hdp_drivers_multiply.tif - raster resulting from the combination of the prioritized areas for NCP and biodiversity combined with High Development Potential areas for each economic sector (key is the same as for HDP raster)</li> <li>nathab_2km_WGS84.tif - raster with natural and semi-natural habitat mask (based on ESA 2015 land cover) (2 km)</li> </ol> <p> </p>
Population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials: covariate dataset
<p>A dataset of reported covariates from a systematic review of population pharmacokinetic studies of critically ill adults receiving beta-lactam antimicrobials, including R script of statistical and graphical analyses</p>
Data files for:Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis
<p>This upload contains the data for the review: "Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis".</p> <p>All the files needed to run the code uploaded to GitHub (https://github.com/tobihul/CEC_review_code) can be found here.</p> <p>Included is: </p> <ul> <li>All 2657 structures found in the studied papers with their CID, InChIKey, and SMILES and whether they can be found in MassBank</li> <li>All the experimental parameters retrieved for each study in each category along with the general scope of each study</li> <li>The file with the CID, MW, XLogP3 and experimental parameters for each of the 61 papers</li> <li>The CSV file containing all classes of each of the compounds from the papers</li> <li>The CSV with all of the structures used to plot the chemical space of NORMAN SusDat (their CIDs)</li> </ul> <p> </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.