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5,526 results for “information”

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zenodo48/100

An Information Ecology for Sustainable Agriculture

Feeding 10 billion people by 2050 will require transformative changes to our food production systems1, 2. Climate change3-6, water scarcity and urban demand7, herbicide-resistant weeds8, and declining soil9 and water quality10,11 are increasing crop production risks, lowering yields, and negatively impacting the environment. The increased use of sustainable agricultural practices  such as reduced-tillage12, diversified crop rotations13, and integrated weed management especially through incorporation of cover crops14, are necessary to achieve this goal. However, farmers repeatedly cite management complexity and a need for site- and system-specific information to overcome the barriers to adoption15, 16. Sustainable agriculture thus demands precision tools to account for genetic and environmental nuances in complex, adaptive, agricultural systems, while simultaneously responding to the social, technological, and economic contexts of farming. Precision Sustainable Agriculture17 uses a data-driven and human-centered approach to the research and development of on-farm monitoring tools, cloud-based, information management tools for large-scale agricultural research projects, decision support tools for agriculture data stakeholders, and modeling and analysis tools for use in sustainable agriculture. We are laying the foundation of an information ecology18 for sustainable agriculture: a system of tools, data, methods, and actors to maximize farm productivity, profitability, and sustainability. References: <ol> <li>Liu J, Folberth C, Yang H, Röckström J, Abbaspour K, Zehnder AJB. A Global and Spatially Explicit Assessment of Climate Change Impacts on Crop Production and Consumptive Water Use. PLOS ONE. 2013 Feb 27;8(2):e57750.</li> <li>Schmidhuber J, Tubiello FN. Global food security under climate change. PNAS. 2007 Dec 11;104(50):19703–8.</li> <li>Allan RP, Soden BJ. Atmospheric Warming and the Amplification of Precipitation Extremes. Science. 2008 Sep 12;321(5895):1481–4.</li> <li>Gornall J, Betts R, Burke E, Clark R, Camp J, Willett K, et al. Implications of climate change for agricultural productivity in the early twenty-first century. Philosophical Transactions of the Royal Society B: Biological Sciences. 2010 Sep 27;365(1554):2973–89.</li> <li>Rosenzweig C, Elliott J, Deryng D, Ruane AC, Müller C, Arneth A, et al. Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc Natl Acad Sci USA. 2014 Mar 4;111(9):3268–73.</li> <li>Trenberth KE, Dai A, Schrier G van der, Jones PD, Barichivich J, Briffa KR, et al. Global warming and changes in drought. Nature Climate Change. 2014 Jan;4(1):17–22.</li> <li>Flörke M, Kynast E, Bärlund I, Eisner S, Wimmer F, Alcamo J. Domestic and industrial water uses of the past 60 years as a mirror of socio-economic development: A global simulation study. Global Environmental Change. 2013 Feb 1;23(1):144–56.</li> <li>Heap I. Global perspective of herbicide-resistant weeds. Pest Management Science. 2014 Sep 1;70(9):1306–15</li> <li>Williams A, Hunter MC, Kammerer M, Kane DA, Jordan NR, Mortensen DA, et al. Soil Water Holding Capacity Mitigates Downside Risk and Volatility in US Rainfed Maize: Time to Invest in Soil Organic Matter? PLoS ONE. 2016;11(8):e0160974.</li> <li>Goolsby DA, Battaglin WA, Lawrence GB, Artz RS, Aulenbach BT, Hooper RP, et al. Flux and sources of nutrients in the Mississippi-Atchafalya river Basin topic 3 report. :156.</li> <li>Boyer EW, Goodale CL, Jaworski NA, Howarth RW. Anthropogenic nitrogen sources and relationships to riverine nitrogen export in the northeastern U.S.A. Biogeochemistry. 2002 Apr 1;57(1):137–69.</li> <li>Zibilske LM, Bradford JM. Soil Aggregation, Aggregate Carbon and Nitrogen, and Moisture Retention Induced by Conservation Tillage. Soil Science Society of America Journal. 2007 May 1;71(3):793–802.</li> <li>Cox HW, Kelly RM, Strong WM. Pulse crops in rotation with cereals can be a profitable alternative to nitrogen fertiliser in central Queensland. Crop Pasture Sci. 2010 Sep 30;61(9):752–62.</li> <li>Mortensen DA, Egan JF, Maxwell BD, Ryan MR, Smith RG. Navigating a Critical Juncture for Sustainable Weed Management. BioScience. 2012 Jan 1;62(1):75–84.</li> <li>Dunn M, Ulrich-Schad JD, Prokopy LS, Myers RL, Watts CR, Scanlon K. Perceptions and use of cover crops among early adopters: Findings from a national survey. Journal of Soil and Water Conservation. 2016 Jan 1;71(1):29–40.</li> <li>Myers R, Watts C. Progress and perspectives with cover crops: Interpreting three years of farmer surveys on cover crops. Journal of Soil and Water Conservation. 2015 Nov 1;70(6):125A-129A.</li> <li>Mirsky, S, Reberg-Horton, C, Raturi, A. Precision Sustainable Agriculture. Available: <a href="http://precisionsustainableag.org">http://precisionsustainableag.org</a></li> <li>Nardi B, O’ Day V. Information ecologies: Using technology with heart. MIT Press; 1999.</li> </ol>

opencc-by-4.0Jun 2017View details →

zenodo48/100

Household surveys in four informal settlements in Abidjan (Côte d'Ivoire) and Nairobi (Kenya)

Description: 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. Includes: Data (CSV), questonnaires (XLS), and Jupyter notebooks summarizing the data (using Python). Ethical clearance: 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). Citation: 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

opencc-by-nc-sa-4.0Sep 2024View details →

zenodo48/100

Dataset for 'A Matter of Culture? Conceptualising and Investigating 'Evidence Cultures' within Research on Evidence-Informed Policymaking'

Introduction This document describes the data collection and datasets used in the manuscript "A Matter of Culture? Conceptualising and Investigating ‘Evidence Cultures’ within Research on Evidence-Informed Policymaking" [1]. Data Collection To construct the citation network analysed in the manuscript, we first designed a series of queries to capture a large sample of literature exploring the relationship between evidence, policy, and culture from various perspectives. Our team of domain experts developed the following queries based on terms common in the literature. These queries search for the terms included in the titles, abstracts, and associated keywords of WoS indexed records (i.e. ‘TS=’). While these are separated below for ease of reading, they combined into a single query via the OR operator in our search. Our search was conducted on the Web of Science’s (WoS) Core Collection through the University of Edinburgh Library subscription on 29/11/2023, returning a total of 2,089 records. TS = ((“cultures of evidence” OR “culture of evidence” OR “culture of knowledge” OR “cultures of knowledge” OR “research culture” OR “research cultures” OR “culture of research” OR “cultures of research” OR “epistemic culture” OR “epistemic cultures” OR “epistemic community” OR “epistemic communities” OR “epistemic infrastructure” OR “evaluation culture” OR “evaluation cultures” OR “culture of evaluation” OR “cultures of evaluation” OR “thought style” OR “thought styles” OR “thought collective” OR “thought collectives” OR “knowledge regime” OR “knowledge regimes” OR “knowledge system” OR “knowledge systems” OR “civic epistemology” OR “civic epistemologies”) AND (“policy” OR “policies” OR “policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers” OR “policy decision” OR “policy decisions” OR “political decision” OR “political decisions” OR “political decision making”)) OR TS = ((“culture” OR “cultures”) AND ((“evidence-based” OR “evidence-informed” OR “evidence-led” OR “science-based” OR “science-informed” OR “science-led” OR “research-based” OR “research-informed” OR “evidence use” OR “evidence user” OR “evidence utilisation” OR “evidence utilization” OR “research use” OR “researcher user” OR “research utilisation” OR “research utilization” OR “research in” OR “evidence in” OR “science in”) NEAR/1 (“policymaking” OR “policy making” OR “policy maker” OR “policy makers”))) OR TS = ((“culture” OR “cultures”) AND (“scientific advice” OR “technical advice” OR “scientific expertise” OR “technical expertise” OR “expert advice”) AND (“policy” OR “policies” OR “policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers” OR “political decision” OR “political decisions” OR “political decision making”))  OR TS = ((“culture” OR “cultures”) AND (“post-normal science” OR “trans-science” OR “transdisciplinary” OR “transdisiplinarity” OR “science-policy interface” OR “policy sciences” OR “sociology of knowledge” OR “sociology of science” OR “knowledge transfer” OR “knowledge translation” OR “knowledge broker” OR “implementation science” OR “risk society”) AND (“policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers”)) Citation Network Construction All bibliographic metadata on these 2,089 records were downloaded in five batches in plain text and then merged in R. We then parsed these data into network readable files. All unique reference strings are given unique node IDs. A node-attribute-list (‘CE_Node’) links identifying information of each document with its node ID, including authors, title, year of publication, journal WoS ID, and WoS citations. An edge-list (‘CE_Edge’) records all citations from these documents to their bibliographies – with edges going from a citing document to the cited – using the relevant node IDs. These data were then cleaned by (a) matching DOIs for reference strings that differ but point to the same paper, and (b) manual merging of obvious duplicates caused by referencing errors. Our initial dataset consisted of 2,089 retrieved documents and 123,772 unretrieved cited documents (i.e. documents that were cited within the publications we retrieved but which were not one of these 2,089 documents). These documents were connected by 157,229 citation links, but ~87% of the documents in the network were cited just once. To focus on relevant literature, we filtered the network to include only documents with at least three citation or reference links. We further refined the dataset by focusing on the main connected component, resulting in 6,650 nodes and 29,198 edges. It is this dataset that we publish here, and it is this network that underpins Figure 1, Table 1, and the qualitative examination of documents (see manuscript for further details). Our final network dataset contains 1,819 of the documents in our original query (~87% of the original retrieved records), and 4,831 documents not retrieved via our Web of Science search but cited by at least three of the retrieved documents. We then clustered this network by modularity maximization via the Leiden algorithm [2], detecting 14 clusters with Q=0.59. Citations to documents within the same cluster constitute ~77% of all citations in the network. Citation Network Dataset Description We include two network datasets: (i) ‘CE_Node.csv’ that contains 1,819 retrieved documents, 4,831 unretrieved referenced documents, making for a total of 6,650 documents (nodes); (ii)’CE_Edge.csv’ that records citations (edges) between the documents (nodes), including a total of 29,198 citation links. These files can be used to construct a network with many different tools, but we have formatted these to be used in Gephi 0.10[3]. ‘CE_Node.csv’ is a comma-separate values file that contains two types of nodes: i.                    Retrieved documents – these are documents captured by our query. These include full bibliographic metadata and reference lists. ii.                  Non-retrieved documents – these are documents referenced by our retrieved documents but were not retrieved via our query. These only have data contained within their reference string (i.e. first author, journal or book title, year of publication, and possibly DOI). The columns in the .csv refer to: -          Id, the node ID -          Label, the reference string of the document -          DOI, the DOI for the document, if available -          WOS_ID, WoS accession number -          Authors, named authors -          Title, title of document -          Document_type, variable indicating whether a document is an article, review, etc. -          Journal_book_title, journal of publication or title of book -          Publication year, year of publication. -          WOS_times_cited, total Core Collection citations as of 29/11/2023 -          Indegree, number of within network citations to a given document -          Cluster, provides the cluster membership number as discussed in the manuscript (Figure 1) ‘CE_Edge.csv’ is a comma-separated values file that contains edges (citation links) between nodes (documents) (n=29,198). The columns refer to: -          Source, node ID of the citing document -          Target, node ID of the cited document Cluster Analysis We qualitatively analyse a set of publications from seven of the largest clusters in our manuscript. For this, we calculated the within cluster indegree of nodes, and read through the 10 most cited retrieved documents and 10 most cited unretrieved documents. To generate these lists, sub-graphs for each cluster needed to be generated, and then indegree was measured (i.e. counting the number of citations from papers within a cluster to other papers in that same cluster). Notes <a href="https://zenodo.org/records/6615221#_ftnref1">[1]</a> Bandola-Gill, J., Andersen, N., Leng, R. I., Pattyn, V., & Smith, K. E. (forthcoming). A Matter of Culture? Conceptualising and Investigating ‘Evidence Cultures’ within Research on Evidence-Informed Policymaking. Policy and Society <a href="https://zenodo.org/records/6615221#_ftnref6">[2]</a> Traag, V. A., Waltman, L., & van Eck, N. J. (2019). From Louvain to Leiden: guaranteeing well-connected communities. Scientific reports, 9(1), 5233. <a href="https://doi.org/10.1038/s41598-019-41695-z">https://doi.org/10.1038/s41598-019-41695-z</a> <a href="https://zenodo.org/records/6615221#_ftnref5">[3]</a> Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media. Gephi is available via <a href="https://gephi.org/">https://gephi.org/</a>

opencc-by-4.0Oct 2024View details →

zenodo48/100

Roadmapping information for each Wider Uptake case study

Database summarizing information for each roadmapping step and for each of the WIDER UPTAKE H2020 project's case studies

opencc-by-4.0Oct 2024View details →

zenodo48/100

Input Dataset for Estimating Continuous Soil Water Retention Curves Using Physics-Informed Neural Networks

This dataset was used as input to a physics-informed neural network (PINN) model developed to estimate continuous soil water retention curves (SWRCs). It includes basic soil properties such as particle-size distribution (sand, silt, clay), organic carbon content (OC), bulk density (BD), and measurements of soil water retention at various matric potentials. These inputs allow the model to learn the relationship between soil properties and water retention, via both data and embedded physical constraints. This data set consists of 4,200 Danish soil samples with measurements spanning the wet and dry ends of the SWRC.

opencc-by-4.0Nov 2024View details →

zenodo48/100

Role of information in consumers' preferences for eco-sustainable genetic improvements in plant breeding - DATASET

Data-set and variables description related to the paper titled “Role of information in consumers’ preferences for eco-sustainable genetic improvements in plant breeding“, by Massimiliano Borrello, Luigi Cembalo, Riccardo Vecchio. PLOS-ONE, 2021. DOI: 10.1371/journal.pone.0255130

opencc-by-4.0Jul 2021View details →

zenodo48/100

The Data Related to Interfacial Shift Keying Allows a High Information Rate in Molecular Communication

This dataset is related to a method for molecular communication in fluids described on "Fluorescent nanoparticles for reliable communication among implantable medical devices," Carbon, vol. 190, pp. 262-275, Apr. 2022, by Federico Calì, Luca Fichera, Giuseppe Trusso Sfrazzetto, Giuseppe Nicotra, Gianfranco Sfuncia, Elena Bruno, Luca Lanzanò, Ignazio Barbagallo, Giovanni Li-Destri, Nunzio Tuccitto; doi: 10.1016/J.CARBON.2022.01.016.  The dataset is linked to the manuscript entitled "Interfacial Shift Keying Allows a High Information Rate in Molecular Communication: Methods and Data" by F. Calì, G. Li-Destri, and N. Tuccitto submitted to IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMC). The data, including elapsed time (s), starting from the injection and fluorescence intensity (a.u.), is given in tab-separated values format as .txt files. When present, a column includes the intensity subtracted for the baseline and the subtracted and normalized intensity. In all cases, the baseline was obtained by performing a linear fit between 10 and 110 s and subtracting the line obtained from the entire dataset.

opencc-by-4.0Dec 2021View details →

zenodo48/100

The Role of Informal Communication in Building Shared Understanding of Non-Functional Requirements in Remote Continuous Software Engineering

Study Information We conducted an ethnography-informed case study of a remote software organization that adopts CSE practices to explore how the organization builds a shared understanding of NFRs. Our study uses semi-structured interviews with a period of observations to answer the following research questions:   <ol> <li> How does a remote software organization that adopts CSE practices reach a shared understanding of NFRs? </li> <li> What are the limitations to the shared understanding of NFRs in a remote software organization that adopts CSE practices? </li> <li> What organizational practices for remote collaboration supported a shared understanding of NFRs? </li> </ol>   In our study, we refer to our partner organization as Alpha. We used ethnography-informed methods to study Alpha's practices and processes and how they approach a shared understanding of NFRs in their product development.    Data Analysis We performed a qualitative study through semi-structured interviews and observations. We use the open, axial and selective coding approach from grounded theory [1] to create our codebook, which informed the results and discussion of our study. Two independent coders held agreement sessions to discuss the codes, consolidate the codes and calculate the inter-rater reliability using the Cohen Kappa's coefficient for measuring observer agreement for categorical data [2].    Artifact Descriptions Our replication package contains three artifacts: 1. Codebook.csv: The codebook contains rows for the list of codes used, including the code name and the description of the codes. The codes are the final set of themes derived during the thematic analysis of the interview responses. For example, 'Gaps in communication' means when interview participants describe miscommunications due to team members making assumptions about a project/process or having unclear expectations for a project. 2. kappa-scores.csv: This contains the associated kappa values for each round of inter-rater agreement sessions. For each agreement session, the Cohen Kappa's coefficient was calculated from the number of agreements and disagreements of codes within one or two interview transcripts. The Kappa values represent the level of agreement ranging from 0 to 1, where > 0.6 represents substantial agreement.  3. Interview-questions.csv: This contains the interview questions used in the semi-structured interviews. Some of the interview questions varied depending on the interviewee’s role, experience and the flow of the interviews.   Usefulness We recognize that the value and usefulness of our replication package are yet-to-be-determined.  In the interest of transparency of open science, we published our artifacts. We hope that these artifacts are useful to either replicate our findings or to further analyze them to produce other enlightening results.   References 1. Rashina Hoda, James Noble, and Stuart Marshall. "Grounded theory for geeks". In: Proceedings of the 18th conference on pattern languages of programs. 2011, pp. 1–17. 2. J Richard Landis and Gary G Koch. "The measurement of observer agreement for categorical data". In: biometrics (1977), pp. 159–174.

opencc-by-4.0Jan 2023View details →

zenodo48/100

Dataset and replication information for It's About Time: How to Study Intertemporal Choice in Systems Design

Dataset and replication package for the paper It's About Time: How to Study Intertemporal Choice in Systems Design (Fagerholm, F., De los Ríos, A., Cárdenas Castro, C., Gil, J., Chatzigeorgiou, A., Ampatzoglou, A., Becker, C. (2023). It’s About Time: How To Study Intertemporal Choice in Systems Design. Information and Software Technology.). The dataset consists of answers to a scenario-based questionnaire that collects data on intertemporal choice in the context of software development. An analysis script is provided to show the details of the calculations and analyses performed for the paper. The replication package includes the protocol for data collection sessions and different versions of the task scenario and questionnaire. More information is given in the description file.

opencc-by-4.0Feb 2023View details →

zenodo48/100

Spectral decompositions dataset for the paper "Random walk informed heterogeneities detection reveals how the lymph node conduits network influences T-cells collective exploration behavior"

This file contains the left and right approximated eigenvectors, as well as the approximated eigenvalues of the networks analyzed in the paper : Random walk informed heterogeneities detection reveals how the lymph node conduits network influences T-cells collective exploration behavior

opencc-by-4.0Feb 2023View details →

zenodo48/100

Dataset and supplemental codes for : "Referenceless characterisation of complex media using physics-informed neural networks"

Dataset and associated supplemental codes for : "Referenceless characterisation of complex media using physics-informed neural networks".

opencc-by-4.0Mar 2023View details →

zenodo48/100

Modulation Engineering: Stimulation Design for Enhanced Kinetic Information from Modulation-Excitation Experiments on Catalytic Systems

Dataset used in the publication "Modulation Engineering: Stimulation Design for Enhanced Kinetic Information from Modulation-Excitation Experiments on Catalytic Systems" (<a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1021%2Facscatal.3c00646&data=05%7C01%7CValentijn.DeCoster%40UGent.be%7C2a7a2c81f646405654d308db2f58f8ec%7Cd7811cdeecef496c8f91a1786241b99c%7C1%7C0%7C638155831400735344%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=e%2Fyp50KsegsMtKcY9ijwh3AqUbrsxFLo%2BTXyGmzOLps%3D&reserved=0">https://doi.org/10.1021/acscatal.3c00646</a>). A description document ("Data overview.docx") is included and provides an overview of the dataset.

opencc-by-4.0Mar 2023View details →

zenodo48/100

Bridging archaeology and marine conservation in the Neotropics (Supplementary information)

Supplementary information from the article "Bridging archaeology and marine conservation in the Neotropics" published in the Journal Plos ONE.

opencc-by-4.0May 2023View details →

zenodo48/100

A large EEG database with users' profile information for motor imagery Brain-Computer Interface research

Context :  We share a large database containing electroencephalographic signals from 87 human participants, with more than 20,800 trials in total representing about 70 hours of recording. It was collected during brain-computer interface (BCI) experiments and organized into 3 datasets (A, B, and C) that were all recorded following the same protocol: right and left hand motor imagery (MI) tasks during one single day session. It includes the performance of the associated BCI users, detailed information about the demographics, personality and cognitive user’s profile, and the experimental instructions and codes (executed in the open-source platform OpenViBE). Such database could prove useful for various studies, including but not limited to: 1) studying the relationships between BCI users' profiles and their BCI performances, 2) studying how EEG signals properties varies for different users' profiles and MI tasks, 3) using the large number of participants to design cross-user BCI machine learning algorithms or 4) incorporating users' profile information into the design of EEG signal classification algorithms. Sixty participants (Dataset A) performed the first experiment, designed in order to investigated the impact of experimenters' and users' gender on MI-BCI user training outcomes, i.e., users performance and experience, (Pillette & al). Twenty one participants (Dataset B) performed the second one, designed to examined the relationship between users' online performance (i.e., classification accuracy) and the characteristics of the chosen user-specific Most Discriminant Frequency Band (MDFB) (Benaroch & al). The only difference between the two experiments lies in the algorithm used to select the MDFB. Dataset C contains 6 additional participants who completed one of the two experiments described above. Physiological signals were measured using a g.USBAmp (g.tec, Austria), sampled at 512 Hz, and processed online using OpenViBE 2.1.0 (Dataset A) & OpenVIBE 2.2.0 (Dataset B). For Dataset C, participants C83 and C85 were collected with OpenViBE 2.1.0 and the remaining 4 participants with OpenViBE 2.2.0. Experiments were recorded at Inria Bordeaux sud-ouest, France. Duration : Each participant's folder is composed of approximately 48 minutes EEG recording. Meaning six 7-minutes runs and a 6-minutes baseline. Documents  Instructions: checklist read by experimenters during the experiments. Questionnaires: the Mental Rotation test used, the translation of 4 questionnaires, notably the Demographic and Social information, the Pre and Post-session questionnaires, and the Index of Learning style. English and french version Performance: The online OpenViBE BCI classification performances obtained by each participant are provided for each run, as well as answers to all questionnaires Scenarios/scripts : set of OpenViBE scenarios used to perform each of the steps of the MI-BCI protocol, e.g., acquire training data, calibrate the classifier or run the online MI-BCI Database : raw signals Dataset A : N=60 participants Dataset B : N=21 participants Dataset C : N=6 participants The article that expained the database is available here: Dreyer, P., Roc, A., Pillette, L. et al. A large EEG database with users’ profile information for motor imagery brain-computer interface research. Sci Data 10, 580 (2023). https://doi.org/10.1038/s41597-023-02445-z

opencc-by-4.0Jan 2023View details →

zenodo48/100

Minimal data set for "Cohort profile: The ENTWINE iCohort Study, a multinational longitudinal web-based study of informal care"

Title: Minimal Data Set for the Reproduction of Findings in "Elayan et al., Cohort Profile: The ENTWINE iCohort Study, a Multinational Longitudinal Web-Based Study of Informal Care".   Study Summary: The data sets provided herein are derived from the ENTWINE iCohort Study, a multinational web-based cohort study employing an intensive longitudinal design. The study integrates a two-wave panel survey (baseline and 6-month follow-up) with optional weekly diary assessments. The cohort comprises caregivers and care recipients from nine countries: the United Kingdom, the Netherlands, Italy, Sweden, Israel, Germany, Greece, Poland, and Ireland. The study aimed to examine the influence of personal, psychological, social, economic, and geographic factors on caregiving experiences. Participants were eligible if they met the following criteria: 1) residency in a participating country; 2) capability to respond to surveys in English, Swedish, German, Dutch, Italian, Greek, Hebrew, or Polish; 3) access to the internet and ability to use it; 4) at least 18 years of age; 5) self-declared cognitive and physical capacity to complete the surveys; 6) either providing care to an adult (aged ≥ 18 years) with a chronic health condition, disability, or other care need, or receiving care from an adult due to similar conditions. The detailed methodology and results of the study can be found in the associated manuscript. For the complete survey questionnaires, please refer to: Morrison V, Zarzycki M, Vilchinsky N, Sanderman R, Lamura G, Fisher O, et al. A Multinational Longitudinal Study Incorporating Intensive Methods to Examine Caregiver Experiences in the Context of Chronic Health Conditions: Protocol of the ENTWINE-iCohort. Int J Environ Res Public Health. 2022;19. doi: <a href="https://doi.org/10.3390/ijerph19020821">10.3390/ijerph19020821</a>   Data files: The repository contains the following data files: <ol> <li>"cg_minimal_dataset" (available in dta, sav, rds, and xlsx formats): This is a minimal data set containing de-identified and processed data derived from the ENTWINE iCohort Caregiver Baseline Survey. The variables present in this data set are detailed in the associated codebook, "cg_minimal_dataset_codebook".</li> <li>"cr_minimal_dataset" (available in dta, sav, rds, and xlsx formats): This is a minimal data set containing de-identified and processed data derived from the ENTWINE iCohort Care Recipient Baseline Survey. The variables present in this data set are detailed in the associated codebook, "cr_minimal_dataset_codebook".</li> </ol>

opencc-by-4.0Aug 2023View details →

edi48/100

PIE LTER, geographic information for the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA.

A description of the transects that were set up to study the impacts on the salt marsh vegetation of nutrient enrichment from the Ipswich Wastewater Treatment Facility on Greenwood Creek in Ipswich, MA, USA. The marsh around Clubhead Creek, Rolwey, MA, USA was used as a reference.

openCC (other)Jan 2021View details →

OpenNeuro44/100

Information Filtering in Electronic Networks of Practice: An fMRI Investigation of Expectation [Dis]confirmation

Open the record for dataset details and reuse information.

openCC0Jan 2020View details →

OpenNeuro44/100

Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance

Open the record for dataset details and reuse information.

openCC0Jan 2020View details →

OpenNeuro44/100

Dynamic representation of the subjective value of information

Open the record for dataset details and reuse information.

openCC0Jan 2021View details →

zenodo44/100

Information Based Behavioural Intervention Study (Bologna case)

iSCAPE Dataset Reference No. = DS_PD_011, DS_MA_003, DS_PD_016 Following datasets are acquired and generated during the implementation of behavioural intervention study in Bologna: <ol> <li>Participant's detailed activity-travel diary </li> <li>Pollutant concentrations of a study area</li> <li>Introductory and Followup questionnaire responses </li> </ol>

opencc-by-4.0Dec 2019View details →

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Compare curated 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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record