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.
6,782
datasets available to search
ShareScore release 0.9.0
Dataset results
6,782 results for “project”
Fig. 35. Loxoconcha uranouchiensis Ishizaki, 1968 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 35. Loxoconcha uranouchiensis Ishizaki, 1968. Left valve.
Fig. 7 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 7. Paranais litoralis (Müller, 1784). Scale bar = 200 μm.
Fig. 10. Specaria josinae. A in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 10. Specaria josinae. A. dorsal chaetae; B. ventral chaeta. Scale bars = 40μm.
Fig. 9 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 9. Pristina (Pristinella) sima (Marcus, 1944). Living state. Scale bar = 200 μm.
Fig. 19 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 19. Lecane unguitata (Fadeev, 1925). Scale bar = 50 μm.
Fig. 12 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 12. Anterior end of Laonice japonica (Moore, 1907). Scale bar = 0.5 mm.
Fig. 38. Leguminocythereis tomokoae Ishizaki, 1968. A in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' II
Fig. 38. Leguminocythereis tomokoae Ishizaki, 1968. A. left valve; B. A1 and A2; C. Md.
Arctic PASSION Online Seminar on "Visualising permafrost landscape change: A new service from the EU Arctic PASSION project"
<p><strong>16 May 2024 at 11 AM GMT</strong></p> <p><strong></strong>In this online seminar, Arctic PASSION is introducing its pan-Arctic requirements-driven Permafrost Service. The Permafrost Service is based on remote sensing analyses, and detection and mapping of permafrost disturbances at high spatial resolution across large regions. The data helps to quantify landscape change, hydrological dynamics and permafrost vulnerability. In order to make the scientific findings easily accessible, we designed a tailored web-based portal specifically targeting non-scientific user communities, stakeholders and rightsholders. With the Arctic Landscape EXplorer (<a href="https://arcticpassion.eu/blog/ALEX">ALEX</a>), we provide interactive maps for recent information on land surface changes, hot spots of disturbances and potential areas of active permafrost thaw and erosion.</p> <p> </p> <p><strong>Speakers: </strong></p> <p>Tillmann Lübker (Geospatial Data Scientist at the Alfred Wegener Institute/Arctic PASSION)</p> <p>Guido Grosse (Head of the Permafrost Research Section at the Alfred Wegener Institute/Arctic PASSION) </p> <p>Moderation: Josefine Lenz (Project Manager at the Alfred Wegener Institute/Arctic PASSION)</p> <p> </p> <p><strong>Webinar recording: </strong>https://www.youtube.com/watch?v=XW5b7nk7sBw</p> <p> </p> <p><strong>Related links: </strong>https://arcticpassion.eu/blog/ALEX</p>
PINK Project Roller Banner
Open the record for dataset details and reuse information.
Gamification of Student Development Projects in Software Engineering Education - Master's Thesis Dataset
<p>This dataset contains all questionnaire results of the Master's Thesis <em>Gamification of Student Development Projects in Software Engineering Education</em>. The thesis will be linked to this set as soon as it is completed and publically available.</p> <p>In total, five questionnaires were conducted. To analyze users and requirements, a questionnaire with students and project supervisors was conducted. The implemented tool was evaluated using a pre-, mid-, and post-study questionnaire. This dataset contains a folder for each questionnaire including results in CSV format, results in HTML format, which is more human readable, and the questionnaire in PDF format. Due to the used survey tool, <em>lamapoll</em>, some parts of the files are in German. However, the questions and responses are all in English.</p> <p>Additionally, the scripts folder contains the Python scripts that were used to produce the graphics of the thesis. The Python libraries <code>matplotlib</code>, <code>pandas</code>, <code>scipy</code>, <code>numpy</code>, and <code>plot_likert</code> are required to run the scripts. Some of them use the two provided files <code>evalutation_concat_raw_excel.csv</code>, which is a concatenation of the results of the three evaluation questionnaires, and <code>sprint_stats.csv</code>, which contains statistics of the sprints relevant to the user study.</p>
FAIR data literacy project
<p>Data obtained from FAIR data study</p>
Fig. 4 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 4. Crithe huna (Kay, 1979). Scale bar = 2 mm.
Fig. 1 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 1. Stenostomum leucops (Dugès, 1828). A. Dorsal view; B. Lateral view. Scale bars = 100 μm.
Fig. 22 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 22. SEM image of Loxoconcha viva Ishizaki, 1968. Scale bar = 150 μm.
Fig. 17 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 17. Photomicrograph of Nihonotrypaea petalura (Stimpson, 1860).
Fig. 16 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 16. Platorchestia platensis (Krøyer, 1845), male (lateral view). Scale bar = 2 mm.
Fig. 7 in Unrecorded species of Korean invertebrates discovered through the project of 'Discovery of Korean Indigenous Species' III
Fig. 7. Photomicrograph of Aeolosoma headleyi Beddard, 1888. Scale bar = 500 μm.
SURE Project Subtitle Files
<p>Subtitle files (.xlsx format) from Experiment 1 and Experiment 2 from the project "SURE - Exploring Subtitle Reading Process with Eyetracking Technology", supported by a grant from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 702606.</p> <p>In each experiment, there are files in English, Polish and Spanish, with time codes, as used in the study.</p> <p>Each file contains three versions: subtitled at 12, 16 and 20 characters per second (cps).</p>
Open Science Project SPP1516: Random Reasoning is fun
<p>This is the unified data set for the paper "Random Reasoning is fun".</p> <p>Please refer to the Codebook and Readme-file for more information</p>
REXCO Project :Physical exercise increases overall brain oscillatory activity but does not influence inhibitory control in young adults
<p><strong>Methods and design</strong></p> <p><em>Participants</em></p> <p>We recruited 20 young males (19-32 years old, average age 23.8 years old) from the University of Granada (Spain). All participants met the inclusion criteria of normal or corrected to normal vision, reported no neurological, cardiovascular or musculoskeletal disorders, were taking no medication and reporting less than 3 hours of moderate exercise per week. Participants were required to maintain regular sleep-wake cycle for at least one day before each experimental session and to abstain from stimulating beverages or any intense exercise 24 hours before each session. From the 20 participants, one was excluded from the analyses because he did not attend to the last experimental session and another one because of technical issues. Thus, only data from the remaining 18 participants are reported. All subjects gave written informed consent before the study and received 20 euros for their participation. The protocol was approved in accordance with both the ethical guidelines of the University of Granada and the Declaration of Helsinki of 1964.</p> <p><em>Apparatus and materials</em></p> <p>All participants were fitted with a Polar RS800 CX monitor (Polar Electro Öy, Kempele, Finland) to record their heart rate (HR) during the incremental exercise test. We used a ViaSprint 150 P cycle ergometer (Ergoline GmbH, Germany) to induce physical effort and to obtain power values, and a JAEGER Master Screen gas analyser (CareFusion GmbH, Germany) to provide a measure of gas exchange during the effort test. Flanker task stimuli were presented on a 21-inch BENQ screen maintaining a fixed distance of 50 cm between the head of participants and the center of the screen. E-Prime software (Psychology Software Tools, Pittsburgh, PA, USA) was used for stimulus presentation and behavioural data collection.</p> <p><em>Procedure</em></p> <p>Participants completed two counterbalanced experimental sessions of approximately 120 min each. Sessions were scheduled on different days allowing a time interval of 48–72 hours between them to avoid possible fatigue and/or training effects. On each experimental session (see Fig. 1), participants completed a 15’ resting state period sitting in a comfortable chair with closed eyes. Subsequently, they performed 10’ warm-up on a cycle-ergometer at a power load of 20% of their individual VO<sub>2</sub> VAT, following by 30’ exercise at 80% (moderate-intensity exercise session) or at 20% (light intensity exercise session) of their VO<sub>2</sub> VAT (see Table 1). Upon completion of the exercise, a 10’ cool down period at 20% VO<sub>2</sub> VAT of intensity followed. Each participant set his preferred cadence (between 60-90 rpm • min-1) before the warm-up and was asked to maintain this cadence throughout the session in order to match conditions in terms of dual-task demands. Later, participants waited sitting in a comfortable chair until their heart rate returned to within their 130% of heart rate at resting (average waiting time 5’ 44’’). The first flanker task was then performed for 6’, followed by a 15’ resting period with closed eyes. Finally, they again completed the 6’ flanker task.</p> <p><em>Flanker task</em></p> <p>We used a modified version of the Eriksen flanker task based on that reported in Eriksen and Eriksen (1974). The task consisted of a random presentation of a set arrows flanked by other arrows that faced the same or the opposite direction. In the congruent trials, the central arrow is flanked by arrows in the same direction (e.g., <<<<< or >>>>>), while in the incongruent trials, the central arrow is flanked by arrows in the opposite direction (e.g., <<><< or >><>>). Stimuli were displayed sequentially on the center of the screen on a black background. Each trial started with the presentation of a white fixation cross in a black background with random duration between 1000 and 1500 ms. Then, the stimulus was presented during 150 ms and a variable interstimulus interval (1000–1500 ms). Participants were instructed to respond by pressing the left tab button with their left index finger when the central arrow (regardless of condition) faced to the left and the right tab button with their right index finger when the central arrow faced to the right. Participants were encouraged to respond as quick as possible, being accurate. A total of 120 trials were randomly presented (60 congruent and 60 incongruent trials) in each task. Each task lasted for 6 minutes approximately without breaks.</p> <p><em>EEG recording and analysis</em></p> <p>EEG data were recorded at 1000 Hz using a 30-channel actiCHamp System (Brain Products GmbH, Munich, Germany) with active electrodes positioned according to the 10-20 EEG International System and referenced to the Cz electrode. The cap was adapted to individual head size, and each electrode was filled with Signa Electro-Gel (Parker Laboratories, Fairfield, NJ). Participants were instructed to avoid body movements as much as possible, and to keep their gaze on the center of the screen during the exercise. Electrode impedances were kept below 10 kΩ. EEG preprocessing was conducted using custom Matlab scripts and the EEGLAB (Delorme & Makeig, 2004) and Fieldtrip (Oostenveld et al., 2011) Matlab toolboxes. EEG data were resampled at 500 Hz, bandpass filtered offline from 1 and 40 Hz to remove signal drifts and line noise, and re-referenced to a common average reference. Horizontal electrooculograms (EOG) were recorded by bipolar external electrodes for the offline detection of ocular artifacts. The potential influence of electromyographic (EMG) activity in the EEG signal was minimized by using the available EEGLAB routines (Delorme & Makeig, 2004). Independent component analysis was used to detect and remove EEG components reflecting eye blinks (Hoffmann and Falkenstein, 2008). Abnormal spectra epochs which spectral power deviated from the mean by +/-50 dB in the 0-2 Hz frequency window (useful for catching eye movements) and by +25 or -100 dB in the 20-40 Hz frequency window (useful for detecting muscle activity) were rejected. On average, 5.1% of epochs per participant were rejected.</p> <p><em>Spectral power analysis</em>. Processed EEG data from each experimental period (Resting 1, Warm-up, Exercise, Cool Down, Flanker Task 1, Resting 2, Flanker Task 2) were subsequently segmented to 1-s epochs. The spectral decomposition of each epoch was computed using Fast Fourier Transformation (FFT) applying a symmetric Hamming window and the obtained power values were averaged across experimental periods.</p> <p><em>Event-Related Spectral Perturbation (ERSP) analysis.</em> Task-evoked spectral EEG activity was assessed by computing ERSP in epochs extending from –500 ms to 500 ms time-locked to stimulus onset for frequencies between 4 and 40 Hz. Spectral decomposition was performed using sinusoidal wavelets with 3 cycles at the lowest frequency and increasing by a factor of 0.8 with increasing frequency. Power values were normalized with respect to a −300 ms to 0 ms pre-stimulus baseline and transformed into the decibel scale.</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.