Find research datasets worth reusing

opencc-by-4.0Mar 2024View details →

Small Group and Survey Datasets: "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study"

These datasets accompany the paper "Fostering Metacognition and Feedback Loops in a Summer Undergraduate Research Program: A Pilot Study" by Chad Curtis PhD and Kaytlin Gomez. The first dataset consists of free responses from n=12 students researchers during a Small Group Metacognitive Practice (SGMP) intervention conducted during the 2023 INBRE Summer Undergraduate Research Fellowship (iSURF) at Nevada State University. The files include: <ul> <li>transcription.docx: Transcriptions of both individual (n=12) and small group (n=4) responses from the SGMP session.</li> <li>codingR1.xlsx: Codings used for the thematic analysis, as coded by the primary investigator.</li> <li>codingR2.xlsx: Codings used for the thematic analysis, as coded by the co-author.</li> <li>KrippendorffAlpha.xlsx: Inter-coder reliability calculations using Krippendorff's alpha.</li> </ul> The survey data was collected from n=11 participants at the end of the summer research program. The files include: <ul> <li>surveyData.csv: Anonymized responses to survey questions regarding the SGMP intervention.</li> </ul> This study was approved by the Nevada State University Review Board (Protocol #2305-0346). All procedures in the study were conducted in accordance with approved protocols. Written informed consent was obtained from the subjects for their anonymized information to be published with the article.

opencc-by-4.0Jan 2022View details →

SAAM pilot study WP8 2020-2021

The dataset includes data from the pilot study conducted with senior users from Austria and Bulgaria in 2020-2021 under Horizon 2020 project SAAM. It includes anonymised quantitative demographic, quality of life, technology acceptance, user experience, sleep related and social life related data. For more information, please, see the Final Pilot Study report, published at <a href="https://saam2020.eu/?p=results.saam">SAAM project website</a>.

opencc-by-4.0Sep 2024View details →

Supplemental data for: Mapping lifestyle factors in blood glucose variability in adolescents with Type 1 Diabetes Mellitus- A pilot study

<div> The dataset was used in the paper “Mapping lifestyle factors in blood glucose variability in adolescents with Type 1 Diabetes Mellitus- A pilot study”. The article is currently under review for publication. DOI to be inserted. </div> <div> A data-in-brief article is to be published to give in-depth information about the data collected to improve reproducibility "Dataset for: Lifestyle Factors and Blood Glucose Variability in Adolescents with Type 1 Diabetes Mellitus". DOI to be inserted.    The aim of the study was to assess whether adolescents with T1D in Ireland meet current nutrition and physical activity (PA) guidelines and to explore the impact of nutrition and PA on glycaemic variability (GV). The dataset includes continuous glucose monitoring (CGM) data, dietary intake records, and PA metrics, providing a comprehensive view of the participants' glucose levels and associated lifestyle behaviours. </div>

opencc-by-4.0Feb 2023View details →

Automated monitoring of biodiversity in the tropics: A pilot study at Barro Colorado Island

Automated monitoring of biodiversity using camera systems and acoustic devises is becoming increasingly common practise. The development of camera traps for insects, however, is relatively new, and has not been tested in tropical environments. To understand both the challenges and opportunities for automated monitoring in the tropics we deployed three newly developed cameras systems for monitoring insects, with a focus on night-flying insects. In addition we deployed audible and ultrasound recording equipment. The locations of each device was changed over the 5 day pilot study, and the configuration of each system was changed to allow an assessment of the relative importance of position, light, etc. The study was undertaken on Barro Colorado Island, Panama, in January 2023. Data are aggregated into .zip files, and details of their contents, and metadata are given in read_me.txt and metadata.csv.

opencc-by-4.0Mar 2023View details →

Data from: Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study

This dataset accompanies the following article: "Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2023.3263388. Knee acoustic emissions (AE) recorded in the 100-450 kHz and 15-200kHz frequency ranges from a cadaver specimen knee in flexion/extension. Four stages of artificially inflicted cartilage damage and two sensor positions were investigated.  Stages of artificially inflicted cartilage damage: the cartilage surface damage on the medial compartment, KL III; the cartilage surface damage on the medial compartment plus patellofemoral surface, KL III; the cartilage surface damage on the medial compartment plus on the patellofemoral surface KL IV; the cartilage surface damage on the medial compartment plus on the patellofemoral surface and lateral compartment. Sensor positions: medial and lateral  knee

opencc-by-4.0May 2023View details →

Arctic shoreline displacement and validation data for two pilot study areas

Arctic shoreline displacement data for two pilot study areas are supporting information for the paper Nylén, Calle-Navarro and Gonzales-Inca: Arctic shoreline displacement with open satellite imagery and data fusion – Pilot study 1984–2022. The two study areas are: <ul> <li>Tanafjorden: a low-arctic meso-tidal fjord coast in mainland Norway</li> <li>Ny-Ålesund: a high-arctic micro-tidal glaciated coast in north-western Svalbard</li> </ul> The study areas are 2500 km² each. The dataset includes following files: <ul> <li>Calculating_coastal_landcover_timeseries_summaries.R: code for summarizing the coastal land cover time-series in the R software.</li> <li>Calculating_shoreline_timeseries.R: code for calculating the shoreline by fitting and smoothing a polyline to the land cover raster in the R software.</li> <li>X_timeseries.tif: a multiband GeoTIFF raster file, with each band describing coastal land cover during one of the eight time-steps (1984–1988, 1989–1993, 1994–1998, 1999–2003, 2004–2008, 2009–2013, 2014–2018 and 2019–2022).</li> <li>X_summary.tif: a multiband GeoTIFF raster file, with bands that summarize the time-series from different viewpoints. These summary variables are: probability of belonging to the land class, long-term trend (between 1984-2003 and 2004-2022), change intensity, first time-step in water class, last time-step in water class, first time-step in land class and last time-step in land class.</li> <li>X_shoreline.geojson: a GeoJSON vector file, consisting of polylines for the shoreline during each time-step. The attributes of the polyline layer describe the time-step and the total length of the shoreline.</li> <li>NyAlesund_timeseries_REDUCED.tif: a reduced time-series for the Ny-Ålesund study area, including only the time-steps with adequate number of observations (i.e., excluding 1984–1988, 1994–1998 and 2004–2008).</li> <li>X_reference_shoreline.geojson: a GeoJSON vector file including the manually digitized (scale 1/5000) reference shoreline corresponding to the time-step 2019–2022.</li> <li>X_validationpoints.geojson: a GeoJSON vector file including 2000 random points (within 2 km from the reference shoreline) that have been manually classified into water and land. The classification corresponds to the time-step 2019–2022.</li> </ul>

opencc-by-4.0Mar 2023View details →

The effect of dietary bioactive on gut microbiome diversity (DIME) – a pilot study

The DIME study consists of a randomised 2x2 cross-over human intervention where healthy participants (n = 20) are subjected to a diet high in bioactive-rich food for two weeks and a diet low in bioactive-rich food. There is a four-week washout between the two interventions.  The continuous glucose monitoring was achieved using the Abbott freesylte libre flash glucose device. The baseline of the participants were determined 7 days before the start of the intervention, followed by the first arm and second arm. The period between the two arms (washout) was not recorded. We also included sleep data which consists of the amount of time spent in bed and during that time the amount of time spent in light, deep and rem in all 20 participants during the course of the dietary intervention, both the high and low bioactive diet.  that was captured using Fitbit wearables during both stages of the dietary intervention,

Annual measurements of vegetation canopy and basal gap intercepts from the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016

This data package contains annual measurements of vegetation canopy and basal gap sizes from transects at the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, vegetation canopy and basal gap sizes were collected annually in all plots using the gap intercept method. These data were collected in 2008-2010, 2012 and 2016. At each plot, four parallel 24-meter transects crossing the upwind buffer, the plot, and the downwind buffer were measured. These parallel transects were spaced at 0.8, 2.8, 4.3, and 7.2 meter intervals across the plot and buffer areas. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.

Annual measurements of vegetation cover on line-point intercept transects from the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016

This data package contains annual measurements of vegetation cover, species, and height from transects at the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, vegetation cover by species, and vegetation heights were collected annually in all plots using the line-point intercept method. These data were collected in 2008-2010, 2012 and 2016. At each plot, four parallel 24-meter transects crossing the upwind buffer, the plot, and the downwind buffer were measured. These parallel transects were spaced at 0.8, 2.8, 4.3, and 7.2 meter intervals across the plot and buffer areas. Vegetation cover and height were read at points arranged at 25 centimeter increments along each transect. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.

Bedload data (deposition from overland flow) measured at the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2010

This data package contains measurements of bedload samples (suspended particles) collected during overland flow events in the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2010. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). To collect water from overland flow events, four to six belowground catchment containers were installed in upslope and downslope buffer zones at each study plots. Bedload containers were monitored monthly 2008, 2009, and 2010. Bedload material collected by the containers during overland flow events was weighed and analyzed for organic matter content by the loss on ignition method. This study is complete and was the pilot study to the newer Cross Scale Interactions Study.

Repeat, ground-based photographs of microplots at the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016

This data package contains ground-based, repeat photographs taken at plots in the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, photographs were taken once to twice per year at ten microplots located within the 8 study plots per site to document plant litter, plant germination and growth, and soil deposition/removal by wind and water transport. Five photos were taken of each microplot: One overhead (from directly over the microplot) and 4 lateral views at ground level from each cardinal direction. This data package only contains archives with the overhead photographs, but lateral view photos are available on request. Photo filenames are fully descriptive of the site, plot, microplot, photo view, and date taken (see Methods description for details). This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.

opencc-by-4.0Jan 2017View details →

USE-ME Empirical evaluation pilot study

We report on the pilot assessment of the feasibility of the USE-ME tool with master students in computer science which were involved into a DSL course. In total there were four groups consisted of two or three participants which were developing the following DSLs: <ul> <li>DSL Spreadsheets - a DSL transforms an activity graph into a Gantt chart. The target users of this DSL are to be project managers.</li> <li>Gestures Kinect - a DSL which supports specification of communication between navy users using a Kinect device. The target users of this DSL are to be a navy operators.</li> <li>Peddy Paper - a DSL which creates several instances of personalised paddy papers. The target users are paddy paper builders.</li> <li>Smart House - a DSL which supports a design of the elements and operations that the house can have. It is meant to be used by house owners. </li> </ul> The evaluation consisted of three learning session. The first one took place after four weeks of the DSL development. Students were introduced to the usability evaluation during a 2h theoretical lecture. For next 2h were introduced with the USE-ME tool and were guided to perform installation and set up working environment. Also, the students were given a participation questionnaire to fill in and describe a purpose of their DSL. In the end of a session, they were given the background questionnaire to fill till the following session which was happening 1 week after. Following two weekly 4h sessions were consisting of USE-ME hands on. The students were introduced to the modelling activities followed by Visualino example. For each activity, the same student from the group was using the tool to create USE-ME models for their DSL, while other students from the group were helping in deciding what would be a right specification. Finally, students were asked to try to finish the learned models and deliver them as a part of DSL course. After delivery, the students which were using the tool to model were asked to fill in a feedback questionnaire. The evaluation deliveries related to each DSL (project reports, USE-ME models), and ones related to participants (background and feedback questionnaire), as well as evaluation results, are attached in this data set.

opencc-by-4.0Mar 2017View details →

Pilot study: Ranking of textual snippets based on the writing style

In this pilot study, we tried to capture humans' behavior when identifying authorship of text snippets. At first, we selected textual snippets from the introduction of scientific articles written by single authors. Later, we presented to the evaluators a source and four target snippets, and then, ask them to rank the target snippets from the most to the least similar from the writing style. The dataset is composed by 66 experiments manually checked for not having any clear hint during the ranking for the evaluators. For each experiment, we have evaluations from three different evaluators. We present each experiment in a single line (in the CSV file), where, at first we present the metadata of the Source-Article (Journal, Title, Authorship, Snippet), and the metadata for the 4 target snippets (Journal, Title, Authorship, Snippet, Written From the same Author, Published in the same Journal) and the ranking given by each evaluator. This task was performed in the open source platform, Crowd Flower. The headers of the CSV are self-explained. In the TXT file, you can find a human-readable version of the experiment. For more information about the extraction of the data, please consider reading our paper: "Extending Scientific Literature Search by Including the Author’s Writing Style" @BIR: http://www.gesis.org/en/services/events/events-archive/conferences/ecir-workshops/ecir-workshop-2017

opencc-by-4.0Nov 2024View details →

Data for "Combining 13C, 15N, and 2H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study"

This dataset includes raw data used in the paper "Combining 13C, 15N, and 2H tracer to measure feeding and metabolic activity in marine, shallow-water sponges – A pilot study" (JEMBE).