Find research datasets worth reusing

opencc-by-4.0Oct 2020View details →

Data set and code supporting Marshall et al., "An inventory of online reptile images"

Data set and code supporting: MARSHALL, B.M., FREED, P., VITT, L.J., BERNARDO, P., VOGEL, G., LOTZKAT, S., FRANZEN, M., HALLERMANN, J., SAGE, R.D., BUSH, B. and DUARTE, M.R., 2020. An inventory of online reptile images. Zootaxa, 4896(2), pp.251-264. DOI:<a href="https://doi.org/10.11646/zootaxa.4896.2.6">10.11646/zootaxa.4896.2.6</a> Data includes:  <ul> <li>Supplementary Table 1. List of all species and the number of photos in each of the 6 repositories: "SuppData1_Species_Photo_Count_Table_2020-08-04_no_syn.csv"</li> <li>Supplementary Table 2. List of species without photo in any of the 6 repositories: "SuppData2_Species_no_photos.csv"</li> <li>Supplementary Table 3. Per country summary data of number of species present and number with images: "SuppData3_Country_species_counts.csv"</li> <li>Reptile Database species checklist: "reptile_checklist_2020_04.csv"</li> <li>Reptile Database species synonyms used in second Wikimedia search: "reptile names 2019 syno.csv"</li> </ul> Code includes: <ul> <li>R code used to retrieve Flickr photograph metadata: "SuppCode1_Flickr_search.R"</li> <li>R code used to retrieve Wikimedia photograph metadata: "SuppCode2_Wikimedia_query.R"</li> <li>R code used to retrieve HerpMapper photograph metadata: "SuppCode3_HerpMapper_search.R"</li> <li>R code used to generate figures: "SuppCode4_Figure Generation.R"</li> </ul> Also includes Zootaxa supplementary table.

opencc-by-4.0Dec 2021View details →

Fostering safe food handling among consumers: Data from an online survey experiment with 1,973 consumers from Norway and the UK

Data and replication codes for the article "Fostering safe food handling among consumers: Causal evidence on game- and video-based online interventions". 1,973 participants from the UK and Norway, aged 18- 89 years, were assigned to (i) a control condition, or (ii) exposed to a brief information video, or (iii) in addition played an online game (two different conditions). In all conditions, participants answered a pre-survey and seven days later a post-survey. In the survey, next to collecting some information on sociodemographic background and certain preferences, subjects reported some recent food safety behaviors and we elicited beliefs in the efficacy of certain food safety actions, as well as beliefs in myths related to food and hygiene. We use this data set in our publication  Koch, A. K., Mønster, D., Nafziger, J., & Veflen, N. (2022). Fostering safe food handling among consumers: Causal evidence on game-and video-based online interventions. Food Control, 108825.

opencc-by-4.0Dec 2023View details →

EEG data offline and online during motor imagery for standing and sitting

The experiments were conducted in an acoustically isolated room where only the participant and the experimenter were present. Participants voluntarily signed an informed consent form in accordance with the experimental protocol approved by the ethics committee of the Universidad Antonio Nariño. The participant was seated in a chair in a posture that was comfortable for him/her but did not affect data collection. In front of the participant, a 40-inch TV screen was placed at about 3 m. On this screen, a graphical user interface (GUI) displayed images that guided the participant through the experiment. Each experimental session was divided into two phases: an offline phase and an online phase.  The offline experiments consisted of recording participants' EEG signals during motor imagery trials for standing and sitting that were guided by the GUI presented on the TV screen. Six offline runs were conducted in which the participants were standing in three runs and sitting in the other three runs. In each run, the participant had to repeat a block of 30 trials of mental tasks indicated by visual cues continuously presented on the screen in a pseudo-random sequence. The first phase of the experimental session was conducted to construct the offline parts of the dataset: (A) Sit-to-stand and (B) Stand-to-sit. The participant's EEG data were collected from 90 sequences for part A (45 trials of MotorImageryA tasks and 45 trials of IdleStateA tasks) and 90 sequences for part B (45 trials of MotorImageryB tasks and 45 trials of IdleStateB tasks). For each participant, the two machine learning models obtained in the offline phase were used to carry out the online experiment parts of the dataset: (C) Sit-to-stand and (D) Stand-to-sit. Each participant was instructed to select, in no particular order, 30 sequences for part C (15 trials of MotorImageryA tasks and 15 trials of IdleStateA tasks) and 30 other sequences for part D (15 trials of MotorImageryB tasks and 15 trials of IdleStateB tasks). Each trial was unique and was generated pseudo-randomly before the experiment. The database consisted of 32 electroencephalographic files corresponding to the 32 participants. All recordings were collected on channels F3, Fz, F4, FC5, FC1, FC2, FC6, C3, Cz, C4, CP5, CP1, CP2, CP6, P3, Pz, and P4 according to the 10-20 EEG electrode placement standard, grounded to AFz channel and referenced to right mastoid (M2). Each data file contained the data stream in a 2D matrix where rows corresponded to channels and columns corresponded to time samples with a sampling frequency of 250Hz. The following marker numbers encoded information about the execution of the experiment. Marker numbers 200, 201, 202, and 203, indicated the beginning and end of the four steps of the sequence in a trial (resting, fixation, action observation, and imagining). Marker numbers 1, 2, 3, and 4, indicated the figure activated on the screen to the participant perform the task corresponding to 1. actively imagining the sit-to-stand movement (labeled as MotorImageryA), 2. sitting motionless without imagining the sit-to-stand movement (labeled as IdleStateA), 3. standing motionless while actively imagining the stand-to-sit movement (labeled as MotorImageryB), or 4. standing motionless without imagining the stand-to-sit movement (labeled as IdleStateB). Finally, marker numbers 101, 102, 103, and 104, indicated the task detected by the BCI in real time during the online experiment: 101. MotorImageryA, 102. IdleStateA, 103. MotorImageryB, or 104. IdleStateB.

opencc-by-4.0Mar 2024View details →

Replication data for: Online Media Use and COVID-19 Vaccination in Real-World Personal Networks: Quantitative Study

This is the replication data for the scientific paper titled "Online Media Use and COVID-19 Vaccination in Real-World Personal Networks: Quantitative Study" accepted for publication in the Journal of Medical Internet Research (JMIR). For details on how to use the data files, please consider the "supplementary_material.R" file or the "supplementary_material.pdf" where the variables of interest and R code are presented. For the code to run correctly, have the files "multilevel_labels.R" and "glm_labels.R" in the same working directory as the .R or .Rmd script. They are executed in the background, applying modifications to labels inside the regression tables.

opencc-by-4.0Oct 2024View details →

Combined data online measurements_WIDER UPTAKE

Raw data from daily online measurements at the WIDER UPTAKE H2020 project's case study site in the Czech Republic.

opencc-by-4.0Nov 2024View details →

HI line observations of 290 evolved stars made with the Nancay Radio Telescope - I. Data: online Tables

--- Table B.1: Clear NRT HI detections - basic data  Description of the columns: (1)  Name: common catalogue name of the target.    An ^n after a name indicates that it is clearly not an AGB star,    a ^d that we consider its classification as an AGB to be dubious,     and a ^* indicates that notes on the object can be found in Appendix A; (2,3) RA,DEC: literature right ascension and declination of the target from Gaia EDR 3,    for epoch J2000.0; (4) Type: target type.    Primarily the variability type as listed in Version 5.1 of the General Catalogue of Variable Stars,    GCVS (A description of GCVS types is given in https://cdsarc.u-strasbg.fr/ftp/cats/B/gcvs/vartype.txt),   but if an object is not included in the GCVS, other identifiers are listed in brackets:    HPM = high proper motion star, (OH/IR) = OH/IR maser,  LPVc = long-period variable candidate,    PN = planetary nebula, pPN = proto-planetary nebula, and post-AGB star; (5,6) Spec & ref: spectral type of the star, followed by its literature reference,    as retrieved from the SIMBAD database. If none was listed there, the reference is noted as 'SIMBAD'; (7,8) Teff & ref: effective temperature of the star, in K, followed by its literature reference;  (9) d: distance of the target, based on its parallax (mainly from the Gaia EDR3), in pc.   If no Gaia parallax was available a reference to the distance we adopted is given in Appendix A   (for RAFGL 3099, mu Cep, and V Peg); (10) Vlit: published radial velocity of the target in the LSR reference frame, in km/s; (11) Vexp: literature expansion velocity measured from CO or OH 1612 MHz line observations, in km/s.    If a pair of values was published for a two-velocity component CO line fit, the largest value is listed here; (12) ref: literature references to the published Vlit and Vexp values;  (13) line: spectral line on which the published radial velocity measurement (Vlit) was based; (14,15) Mdot & ref: literature mass loss rates, in solar masses per year,    followed by its literature reference. Notes to Table B.1: References: see Table B.1 in the Astronomy & Astrophysics paper. --- Table B.2: Clear NRT HI detections - HI data  Description of the columns: (1) Name: common catalogue name of the target.    A ^T after a name indicates that HI line parameters are based on a  'total' spectrum, whereas    a ^P indicates that a 'peak' spectrum was used.    An ^n indicates that it is clearly not an AGB star,    a ^d that we consider its classification as an AGB to be dubious,     and a ^* indicates that notes on the object can be found in Appendix A; (2) VHI: our central radial velocity in the LSR reference frame of the Gaussian fitted    to the HI profile, in km/s. (3) FWHM: our full width half maximum of the Gaussian fitted to the HI line profile, in km/s; (4) Speak: our peak flux density of the HI line profile, in Jy; (5) diam: our estimated angular size of the HI CSE in the east-west direction, in arcmin; (6) FHI: our integrated line flux of the HI profile, in Jy km/s; (7) MHI: our total HI mass, in Msun; (8) HI ref: references to previously published HI studies,   see Table B.2 in the Astronomy & Astrophysics paper. --- Table B.3: Possible NRT HI detections - basic data Description of the columns: (1)  Name: common catalogue name of the target.    An ^n after a name indicates that it is clearly not an AGB star,    a ^d that we consider its classification as an AGB to be dubious,     and a ^* indicates that notes on the object can be found in Appendix A; (2,3) RA,DEC: literature right ascension and declination of the target from Gaia EDR 3,    for epoch J2000.0; (4) Type: target type.    Primarily the variability type as listed in Version 5.1 of the General Catalogue of Variable Stars,    GCVS (A description of GCVS types is given in https://cdsarc.u-strasbg.fr/ftp/cats/B/gcvs/vartype.txt),   but if an object is not included in the GCVS, other identifiers are listed in brackets:    HPM = high proper motion star, (OH/IR) = OH/IR maser,  LPVc = long-period variable candidate,    PN = planetary nebula, pPN = proto-planetary nebula, and post-AGB star; (5,6) Spec & ref: spectral type of the star, followed by its literature reference,    as retrieved from the SIMBAD database. If none was listed there, the reference is noted as 'SIMBAD'; (7,8) Teff & ref: effective temperature of the star, in K, followed by its literature reference;  (9) d: distance of the target, based on its parallax (mainly from the Gaia ED33), in pc.   If no Gaia parallax was available a reference to the distance we adopted is given in Appendix A  (for RAFGL 3099, mu Cep, and V Peg); (10) Vlit: published radial velocity of the target in the LSR reference frame, in km/s; (11) Vexp: literature expansion velocity measured from CO or OH 1612 MHz line observations, in km/s.    If a pair of values was published for a two-velocity component CO line fit, the largest value is listed here; (12) Mdot : literature mass loss rates, in solar masses per year,  (13) line: spectral line on which the published radial velocity measurement (Vlit) was based; (14) ref: literature references to the published Vlit, Vexp and Mdot values;  Notes to Table B.3: References: see Table B.1 in the Astronomy & Astrophysics paper. --- Table B.4: Possible NRT HI detections - HI data Description of the columns: See the description of the columns of Table B.2. --- Online only Table 5: Upper limits to NRT HI lines  Description of the columns: (1)  Name: common catalogue name of the target.    An ^n after a name indicates that it is clearly not an AGB star,    a ^d that we consider its classification as an AGB to be dubious,     and a ^* indicates that notes on the object can be found in Appendix A; (2,3) RA,DEC: literature right ascension and declination of the target from Gaia EDR 3,    for epoch J2000.0; (4) Type: target type.    Primarily the variability type as listed in Version 5.1 of the General Catalogue of Variable Stars,    GCVS (A description of GCVS types is given in https://cdsarc.u-strasbg.fr/ftp/cats/B/gcvs/vartype.txt),   but if an object is not included in the GCVS, other identifiers are listed in brackets:    HPM = high proper motion star, (OH/IR) = OH/IR maser,  LPVc = long-period variable candidate,    PN = planetary nebula, pPN = proto-planetary nebula, and post-AGB star; (5,6) spec & ref: spectral type of the star, followed by its literature reference,    as retrieved from the SIMBAD database. If none was listed there, the reference is noted as 'SIMBAD'; (7,8) Teff & ref: effective temperature of the star, in K, followed by its literature reference;  (9) d: distance of the target, based on its parallax (mainly from the Gaia EDR3, in pc.   If no Gaia parallax was available a reference to the distance we adopted is given in Appendix A  (for RAFGL 3099, mu Cep, and V Peg); (10) Vlit: published radial velocity of the target in the LSR reference frame, in km/s; (11) Vexp: literature expansion velocity measured from CO or OH 1612 MHz line observations, in km/s.    If a pair of values was published for a two-velocity component CO line fit, the largest value is listed here; (12) Mdot : literature mass loss rates, in solar masses per year,  (13) ref: literature references for Vlit, Vexp and Mdot, as applicable; (14) line: spectral line on which the published radial velocity measurement (Vlit) was based; (15) Speak: peak flux density of our HI line profile, in Jy; (16) notes: 'old data' indicates objects observed only in 1992/1993, before the  renovation of the NRT;    'blue/red side' indicates that either the blue or red side of the HI profile could be used to measure    an upper limit to the line flux; (17) HI ref: references to previously published HI studies; Notes to online only Table 5:  HI references: see Table B.2 in the Astronomy & Astrophysics paper. Other references: see Table B.1 in the Astronomy & Astrophysics paper. --- Online only Table 6: Confused NRT HI spectra Description of the columns: (1) Name: common catalogue name of the target.  (2,3) RA, DEC: literature right ascension and declination of the target from Gaia EDR3,    for epoch J2000.0;  (4) type: target type. Primarily the variability type as listed in Version 5.1 of the    General Catalogue of Variable Stars, GCVS; but if an object is not included in the GCVS,    other identifiers are listed in brackets:  HPM = high proper motion star, (OH/IR) = OH/IR maser,    LPVc = long-period variable candidate, PN = planetary nebula, pPN = proto-planetary nebula,    and post-AGB star;  (5,6) spec & ref spectral type of the star, followed by its literature reference,   as retrieved from the SIMBAD database. If none was listed there, the reference is noted as 'SIMBAD';  (7,8) Vlit & ref: published radial velocity of the target in the LSR reference frame, in km/s;  (9) line: spectral line on which the published radial velocity measurement (Vlit) was based;  (10) notes: 'old data' denotes objects observed only in 1992/1993, before the renovation of the NRT  (see Section 3), for which no observations in digital form are available;  (11) HI ref: references to previously published HI studies. Notes to online only Table 6: HI references: see Table B.2 in the Astronomy & Astrophysics paper. Other references: see Table B.1 in the Astronomy & Astrophysics paper.

openodc-byNov 2024View details →

Local Governance in Ukraine during the full-scale Russian invasion. – Merged data from online surveys of local self-government authorities by the Congress of Local and Regional Authorities of the Council of Europe in 2022 and Kyiv School of Economics in 2024.

The dataset includes responses from two waves of online surveys targeting local self-government representatives in Ukraine, with a focus on crisis governance during the ongoing Russian war. The first wave was conducted from August 30 to September 20, 2022, by the Congress of Local and Regional Authorities of the Council of Europe, yielding 241 responses (16% of all Ukrainian local communities). The second wave was conducted by Kyiv School of Economics from January 1 to March 12, 2024, with 181 responses (14% of government-controlled municipalities). Data formats include CSV and SAV files, along with an XSL codebook for both waves. The merged dataset comprises 442 responses from small, medium, and large municipalities under varied security conditions, with a total file size of approximately 4 MB.

opencc-by-4.0May 2023View details →

Online Data for 'The role of wildfires in the interplay of forest carbon stocks and wood harvest in the contiguous United States during the 20th century'

This data file (.xlsx) contains all data used to create table 1, figures 1a-d, figure 2, figure S1, S2, and S5 of the study "The role of wildfires in the interplay of forest carbon stocks and wood harvest in the contiguous United States during the 20th century". Main article is available under: https://doi.org/10.1029/2023GB007813

edi48/100

Influences on charitable giving for conservation: Online survey data of 1,331 respondents across the US, August 2017

This dataset records survey data collected from an online panel of 1,331 anonymous, nationwide U.S respondents. Data collection was both initiated and completed in August 2017. Survey data is of two major types. The first type, information about respondents, includes (1) select background and demographic information; (2) a brief version of a social desirability scale, measured to test and control for potential bias related to socially desirable responding; and (3) a scale developed to measure moral inclusivity, conceptualized as the breadth of an individual’s moral community (i.e., to what extent do different types of entities “count,” in a moral sense). The second type of data records information about an experimental message manipulation featured in the survey. The dataset includes one variable indicating which of seven manipulated textual messages each respondent viewed, along with several variables used as metrics of response to the messages, including (1) attitudes toward the message; (2) hypothetical willingness to donate for the cause promoted in the message; (3) perceived moral salience of the message (i.e., the extent to which it was perceived as a matter of moral concern); (4) manipulation checks, to test whether the manipulated elements of the messages were perceived as intended, and (5) a donation set-up, in which individuals were given the option to donate between $0 and $5 for a conservation organization, from an incentive fee provided by the researchers.

openCC (other)Apr 2019View details →

opencc-by-4.0Mar 2022View details →

Supporting Online Toxicity Detection with Knowledge Graphs: Data

This data repository contains the output files from the analysis of the paper "Supporting Online Toxicity Detection with Knowledge Graphs" presented at the International Conference on Web and Social Media 2022 (ICWSM-2022).   The data contains annotations of gender and sexual orientation entities provided by the Gender and Sexual Orientation Ontology (https://bioportal.bioontology.org/ontologies/GSSO). We analyse demographic group samples from the Civil Comments Identities dataset (https://www.tensorflow.org/datasets/catalog/civil_comments).

opencc-by-4.0Jun 2024View details →

Supporting Online Data for 'Timber trade in the United States of America 1870 to 2017. A socio-metabolic analysis'

This data file (.xlsx) contains all data used to create tables and figures of the study "Timber trade in the United States of America 1870 to 2017. A socio-metabolic analysis". Main article is available under: https://doi.org/10.1080/01615440.2024.2316039

opencc-by-4.0Oct 2022View details →

Anonymisation for data sharing in practice [Online Workshop. Recording]

The goal of this event was to show trainers the tools they need to teach the fundamentals of data anonymisation and disclosure control in training sessions while also giving them hands-on experience with current open source technologies (sdcMicro). Some of the concepts and techniques presented, included k-anonymity, top/bottom coding and aggregation with practical examples and recommendations on incorporating anonymisation into research designs.   The video is available on<a href="https://www.youtube.com/watch?v=JeJ6OOxXZwo&t=328s"> the CESSDA Training YouTube channel</a>.

opencc-by-4.0Oct 2022View details →

How to Ensure Researchers Share Their FAIR Data: Practical Tips and Tools [Online Workshop, Recording]

The online hands-on workshop was aimed at trainers and support staff covering critical elements of data sharing and available tools and resources for supporting Open Science including: • Open Science resources and Data Management Planning • Consent and Ethical considerations • Legislation and Licence frameworks The objectives of the workshop were i) to raise awareness of key tools and resources available for Open Science training ii) to enable a platform to exchange ideas regarding key training topics and iii)n to provide training materials and worksheets for future reuse. The workshop consisted of presentations, demos, a roundtable discussion on ethical considerations, a showcase of licence frameworks at different European archives and an exercise with all participants fostering an exchange of experiences focused on learnt lessons. The video is available on<a href="https://www.youtube.com/watch?v=uztTCRFRZHg"> the CESSDA Training YouTube channel</a>.

opencc-by-4.0Nov 2022View details →

Journal and Data Archive Collaboration Forum [online event recording]

The availability of research data underlying articles published in journals is becoming a common practice in scientific communication. The European Commission and other funders of scientific research have set high expectations for scientists towards openness and availability of scientific work and results. Scientific publishers, through journals and scholarly publications are the main point of realising open science in practice. This event was part of the continuous Journals Outreach initiative (<a href="https://www.cessda.eu/Training/Journals-outreach">https://www.cessda.eu/Training/Journals-outreach</a>), bringing together CESSDA service providers (SPs) with Social Science & Humanities Journals. Its target audiences were publishers, editors, researchers, and CESSDA Service providers. The event was also an opportunity for publishers/journals to highlight new initiatives in research data services linked to scientific publications. The video is available on<a href="https://www.youtube.com/watch?v=zCKoyzLifkg"> the CESSDA Training YouTube channel</a>.

opencc-by-4.0Apr 2019View details →

Online supplementary data linked to the publication "Aubenas-les-Alpes (S-E France). Part III – Last and final part of the mammalian assemblage with some comments on the palaeoenvironment and palaeobiogeography" doi:10.1016/j.annpal.2019.03.001

Online supplementary appendix including the list of Oligocene localities and associated faunal lists compared to Aubenas-les-Alpes, and the size estimation of the non-predatory species for the construction of Fig.10.

opencc-by-4.0May 2020View details →

Data Review Handphone Toko Online XYZ Market Place XYZ

Data set review Handphone di toko online di market place yang dipergunakan untuk natural language processing.

opencc-by-4.0Feb 2017View details →

Research data supporting "Online quantitative monitoring of live cell engineered cartilage growth using diffuse fiber-optic Raman spectroscopy"

Research data supporting the publication: M. Bergholt, 2017, Online quantitative monitoring of live cell engineered cartilage growth using diffuse fiber-optic Raman spectroscopy, Biomaterials, Volume 140, September 2017, Pages 128–137, DOI: 10.1016/j.biomaterials.2017.06.015

opencc-by-4.0Jul 2017View details →

Data + Analyses: "Gaze-dependent Coding of Somatosensory Reach Targets after Effector Movement: Testing the Impact of Online Information, Movement Timing, and Target Distance"

This upload contains the experiment scripts (written in Presentation), data, and analyses (performed with MATLAB and SPSS) underlying the publication by Mueller & Fiehler (2017). PloS one. doi:10.1371/journal.pone.0180782