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”
Adaptations of Scrum roles in software projects: Survey and representation tentative with feature models
<p>Vídeo em português</p> <p> </p> <p>This work is supported by CAPES/Brazil (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) code 001.</p>
Teaching UML Models with FLOSS Projects: A study carried out during the period of social isolation imposed by the COVID-19 pandemic
<p>Software Engineering Education must include professional practice experiences so that students are able to specify, design, implement, maintain and evaluate computer systems, using appropriate theories, practices and tools. However, teaching Software Engineering (SE) principles, concepts and practices and relating them to real-world scenarios are challenging tasks. The adoption of Free/Libre/Open-Source Software (FLOSS) projects can assist in facing these challenges. This paper presents an experience report on the pedagogical use of FLOSS projects in a SE course, in the context of social isolation imposed by the COVID-19 pandemic. The course was fully virtualized, with supporting tools such as Google Classroom, Google Meet, Github, Padlet and Trello, and modeled after an instructional design based on Bloom’s taxonomy of cognitive learning objectives. FLOSS projects were used in the context of software modeling activities with UML class, sequence and activity diagrams. An online survey with twenty-six (26) students and an interview with the instructor were conducted to collect their perceptions about such experience. Results showed that most students (i) agreed that the instructional methods addressed the knowledge, comprehension and application levels in a satisfactory way; (ii) were satisfied in working with real software projects developed by others; and (iii) liked the developed activities and the tools used in the classes. The instructor and students (iv) missed face-to-face activities; and (v) agreed that the instructional design could be used in future face-to-face SE classes.</p>
Sentiment Polarity of Programmers in an Open Source Software Project: An Exploratory Study
<p>Context: During the implementation of issues filed in open source software projects, programmers engage and interact in discussions on how to implement them. These discussions provide evidence to investigate emotionally loaded practices embraced by programmers. They interact to explain their point of view regarding the project and the issue under analysis. Objective: Analyze programmers sentiment polarity in an open source software project having releases as a reference for the analysis. Methods: We conducted an exploratory study to characterize the sentiment polarity of comments registered in issues associated with releases of the Moby open source software project. Results: The quantitative analysis identified sentiment polarity variations throughout consecutive releases in line with specific functionalities. Based on a qualitative analysis, we identified these functionalities and specific group of programmers that contributed to those results. Conclusions: We identified initial evidence to contribute for the understanding of the causes underlying the influence of the sentiments of the developers in the context of releases of open source software projects.</p>
[ITU-T AI Challenge] Input/Output of project "Improving the capacity of IEEE 802.11 WLANs through Machine Learning"
<p>This data set will be used by participants of the ITU-T AI Challenge. </p> <p>The data set contains:</p> <ul> <li>Input files: contain information such as nodes labels, nodes position, or channels used. These files have been used to simulate the behavior of random WLAN deployments under different channel bonding conditions. </li> <li>Output files: contain the output of the simulations - throughput per STA, RSSI that each STA receives from its AP, interference map from APs' point of view, average SINR experienced by each device during packet receptions.</li> </ul> <p>More details can be found on the official website of the challenge: <a href="https://www.upf.edu/web/wnrg/ai_challenge">https://www.upf.edu/web/wnrg/ai_challenge</a></p> <p><strong>[Update - 28 July 2020] </strong>A script (<a href="https://zenodo.org/api/files/88053224-d3a9-417e-b034-f08c763069ac/script_process_dataset.sh?versionId=2817eabd-ab9e-496a-a7d6-f67d227c51bf">script_process_dataset.sh</a>) has been added to process the output files. In particular, the results of each deployment are separated into different files. Besides, different files are created according to the type of label/feature (throughput, airtime, RSSI map, and interference list).</p> <p><strong>[Update - 22 September 2020] </strong>A new feature has been added to all the files in the data set. In particular, we have added the average Signal-to-Interference-plus-Noise Ration (SINR) experienced by each STA during packet receptions (including data and control packets). The SINR values in APs are marked as Inf because we focus on downlink transmissions only.</p> <p><strong>[Update - 30 September 2020] </strong>The test data set has been released, which corresponds to the simulations of a set of deployments with different characteristics. Input node files are contained in <a href="https://zenodo.org/api/files/88053224-d3a9-417e-b034-f08c763069ac/input_node_files_test.zip">input_node_files_test.zip</a>, while <a href="https://zenodo.org/api/files/88053224-d3a9-417e-b034-f08c763069ac/output_simulator_test.zip">output_simulator_test.zip</a> includes the output generated by the simulator. The label (i.e., the throughput) of the test data set will not be included in this repository until the next update (estimated date: 15 October 2020).</p> <p><strong>[Update - 19 October 2020] </strong>After participants have submitted their solutions, we provide the entire test data set, including the actual throughput obtained by each AP and STA in the test deployments.</p>
Dataset for 'An integer programming model for the selection of pumped-hydro storage projects'
<p>Dataset for 'An integer programming model for the selection of pumped-hydro storage projects' paper<br> <br> The dataset has 2 files:</p> <ul> <li>266_elev.txt</li> <li>table_h_p_ct.csv <ul> <li>The columns are, respectively, height (m), power (MW), and cost (USD/kW)</li> </ul> </li> </ul>
Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project
<p>Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project</p>
The Lost Patriarchs Project: discovering Greek patristics in the medieval Latin tradition
<p>A video and transcript on The Lost Patriarchs Project, delivered for the Dark Archives Conference, September 8-10, 2020. More information can be found on the<a href="https://www.lostpatriarchsproject.com/"> project website</a>.</p>
Selecting the Most Feasible Construction Phasing Plans for Urban Highway Rehabilitation Projects
<p>Despite the abundance of research that has aimed to understand the effects of highway work zones, very little definitive<br> information is available concerning the determination of work zone length (WZL). Quantitative studies that holistically<br> model WZL are very rare. To fill this gap, this study identifies critical factors affecting WZL and develops decision<br> support models that determine the optimal WZL in a balanced tradeoff between motorists’ inconvenience due to traffic<br> disruption and their opportunity cost. A high-confidence dataset was created by conducting a series of scheduling and<br> traffic simulations and analyses. The results revealed that traffic loading and work zone duration are critical factors,<br> with traffic loading at approximately 41,000 vehicles-per-day being an important benchmarking point. Based on these<br> findings, a decision support model was developed to determine the most feasible WZL. As the first of its kind, this<br> study will help state transportation agencies devise sounder construction phasing plans by providing a point of<br> reference when establishing WZL in a viable way to minimize traffic disruption during construction.</p>
Figure 8 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 8 Schematic diagram of the methodological process through which the chitons will pass to fulfil each of the proposed themes.
Figure 7 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 7 Group of volunteers and collaborators of the QUITÓN PROJECT in FACIMAR-UAS. The project has a logo registration (brand), which is used on the shirts. Shirts used in the field and presentations (congresses, workshops) are shown.
Figure 6 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 6 Locations of Chiton articulatus collection. The star indicates the local headquarters of this project. The base map was taken from Instituto Nacional de Estadística, Geografía e Informática (INEGI). https://www.inegi.org.mx/
Figure 3 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 3 The food menu of some restaurants in Acapulco, Guerrero, including a dish with chiton, common name "Cucaracha/cockroach".
Figure 2 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 2 Example of sale and consumption of meat (foot, in colloquial Spanish "Lengua") of Chiton articulatus. Sale of chitons in beaches of Acapulco (left upper). Sale of chitons in streets of Pochutla, Oaxaca, close to Huatulco (left lower). Dish (Lengua a la Mexicana) in a restaurant in Huatulco (right upper). Artisanal fishing of chitons for a family weekend reunion at Puerto Angel, Oaxaca close to Huatulco (right lower).
Figure 9 from: Avila-Poveda OH (2020) Large-scale project 'Chiton of the Mexican Tropical Pacific': Chiton articulatus (Mollusca: Polyplacophora). Research Ideas and Outcomes 6: e60446. https://doi.org/10.3897/rio.6.e60446
Figure 9 Collage (application letters) of the procedure to request the recognition and incorporation of this Chiton articulatus mollusc into the National Fisheries Chart.
Lego Project Data Archive
<p>This archive contains audio-visual data and ancillary materials in an open format suitable for sharing and reuse.</p> <p>A published journal article introduces and documents the collection and processing of raw video and audio recordings of an experimental Lego puzzle team game, which led to the formation of this archive.</p> <p>The primary motivation was for the data to be included in demonstation packages for immersive qualitative analysia and transcription software tools that work natively with 360-degree video data.</p> <p>The data is made available here in an open data archive with a Creative Commons license.</p>
Data from: Contrasting the roles of section length and instream habitat enhancement for river restoration success: a field study on 20 European restoration projects
1. Restoration of river hydromorphology often has limited detected effects on river biota. One frequently discussed reason is that the restored river length is insufficient to allow populations to develop and give the room for geomorphologic processes to occur. 2. We investigated ten pairs of restored river sections of which one was a large project involving a long, intensively restored river section and one represented a smaller restoration effort. The restoration effect was quantified by comparing each restored river section to an upstream non-restored section. We sampled the following response variables: habitat composition in the river and its floodplain, three aquatic organism groups (aquatic macrophytes, benthic invertebrates and fish), two floodplain-inhabiting organism groups (floodplain vegetation, ground beetles), as well as food web composition and land–water interactions reflected by stable isotopes. 3. For each response variable, we compared the difference in dissimilarity of the restored and nearby non-restored section between the larger and the smaller restoration projects. In a second step, we regrouped the pairs and compared restored sections with large changes in substrate composition to those with small changes. 4. When comparing all restored to all non-restored sections, ground beetles were most strongly responding to restoration, followed by fish, floodplain vegetation, benthic invertebrates and aquatic macrophytes. Aquatic habitats and stable isotope signatures responded less strongly. 5. When grouping the restored sections by project size, there was no difference in the response to restoration between the projects targeting long and short river sections with regard to any of the measured response variables except nitrogen isotopic composition. In contrast, when grouping the restored sections by substrate composition, the responses of fish, benthic invertebrates, aquatic macrophytes, floodplain vegetation and nitrogen isotopic composition were greater in sections with larger changes in substrate composition as compared to those with smaller changes. 6. Synthesis and applications. The effects of hydromorphological restoration measures on aquatic and floodplain biota strongly depend on the creation of habitat for aquatic organisms, which were limited or not present prior to restoration. These positive effects on habitats are not necessarily related to the restored river length. Therefore, we recommend a focus on habitat enhancement in river restoration projects.
Data from: Diffantom: whole-brain diffusion MRI phantoms derived from real datasets of the Human Connectome Project
Diffantom is a whole-brain diffusion MRI (dMRI) phantom publicly available through the Dryad Digital Repository (doi:10.5061/dryad.4p080). The dataset contains two single-shell dMRI images, along with the corresponding gradient information, packed following the BIDS standard (Brain Imaging Data Structure, Gorgolewski et al., 2015). The released dataset is designed for the evaluation of the impact of susceptibility distortions and benchmarking existing correction methods. In this Data Report we also release the software instruments involved in generating diffantoms, so that researchers are able to generate new phantoms derived from different subjects, and apply these data in other applications like investigating diffusion sampling schemes, the assessment of dMRI processing methods, the simulation of pathologies and imaging artifacts, etc. In summary, Diffantom is intended for unit testing of novel methods, cross-comparison of established methods, and integration testing of partial or complete processing flows to extract connectivity networks from dMRI.
Data from: Incorporating existing thermal tolerance into projections of compositional turnover under climate change
Aim: Observed, realized niche space often underestimates species' physiological tolerances due to interactions with other species, dispersal constraints, and because some combinations of influential environmental factors do not currently exist in the real world. Conversely, correlative ecological niche models rely on the assumption that the range of environmental conditions encompassed by a species' geographic distribution accurately reflects their environmental tolerances, including community-level approaches like Generalised Dissimilarity Modelling (GDM). We extend GDM to better understand what effect broader environmental tolerances could have on compositional turnover under climate change. Innovation: We show how GDM can be adjusted as a function of best-available estimates of the average ratio between realized and potential niche widths to modify projected temporal turnover. We demonstrate this approach by using the estimated niche ratios of Australian plant species (n=7184) relative to thermal extremes, and the rate at which this ratio varied with temperature. The modified GDMs showed existing thermal tolerance could reduce the turnover predicted by standard models under climate change by up to 11%. We further show how the reduction in expected turnover by 2090 will influence where a greater proportion of the current community will persist in a region. Main conclusions: We suggest that standard spatial GDMs and their modified versions represent the extremes of ecological niche perspectives (i.e. realized and potential) and the range of tolerance communities may have when responding to environmental change. GDM projections therefore identify the range of uncertainty associated with a critical model assumption, and as climate change continues, ongoing community monitoring could be used to validate the balance between the two possibilities.
Data from: Climate change is projected to outpace rates of niche change in grasses
Climate change may soon threaten much of global biodiversity, especially if species cannot adapt to changing climatic conditions quickly enough. A critical question is how quickly climatic niches change, and if this speed is sufficient to prevent extinction as climates warm. Here, we address this question in the grass family (Poaceae). Grasses are fundamental to one of Earth's most widespread biomes (grasslands), and provide roughly half of all calories consumed by humans (including wheat, rice, corn and sorghum). We estimate rates of climatic niche change in 236 species and compare these with rates of projected climate change by 2070. Our results show that projected climate change is consistently faster than rates of niche change in grasses, typically by more than 5000-fold for temperature-related variables. Although these results do not show directly what will happen under global warming, they have troubling implications for a major biome and for human food resources.
Data from: In-situ recording of ionic currents in projection neurons and Kenyon cells in the olfactory pathway of the honeybee
The honeybee olfactory pathway comprises an intriguing pattern of convergence and divergence: ~60.000 olfactory sensory neurons (OSN) convey olfactory information on ~900 projection neurons (PN) in the antennal lobe (AL). To transmit this information reliably, PNs employ relatively high spiking frequencies with complex patterns. PNs project via a dual olfactory pathway to the mushroom bodies (MB). This pathway comprises the medial (m-ALT) and the lateral antennal lobe tract (l-ALT). PNs from both tracts transmit information from a wide range of similar odors, but with distinct differences in coding properties. In the MBs, PNs form synapses with many Kenyon cells (KC) that encode odors in a spatially and temporally sparse way. The transformation from complex information coding to sparse coding is a well-known phenomenon in insect olfactory coding. Intrinsic neuronal properties as well as GABAergic inhibition are thought to contribute to this change in odor representation. In the present study, we identified intrinsic neuronal properties promoting coding differences between PNs and KCs using in-situ patch-clamp recordings in the intact brain. We found very prominent K+ currents in KCs clearly differing from the PN currents. This suggests that odor coding differences between PNs and KCs may be caused by differences in their specific ion channel properties. Comparison of ionic currents of m- and l-ALT PNs did not reveal any differences at a qualitative level.
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.