Find research datasets worth reusing

opencc-by-4.0Apr 2022View details →

Alt Penedès environmental data collected between 2017 and 2021

The dataset contains different meteorological variables extracted from the website meteo.cat from "el Servei Meteorològic de Catalunya". Those meteorological variables extracted are recorded daily by the stations located in the Alt Penedes (Font Rubí, la Granada, Canaletes, Sant Martí Sarroca and Sant Sadurní d’Anoia) between 2017 and 2021. It is important to note that not all stations are prepared to collect the same information, that is, not all are equipped with the same instruments, therefore, there are cases without of the variables reported, e.g. Font Rubí provides data on average atmospheric pressure while the rest do not. Moreover, not all stations have been installed on the same data, so data may not be available for all the desired time period for some stations. Specifically, the station located in Sant Sadurní d’Anoia, the data is available from 07/05/2021, the date on which the station was operational.

opencc-zeroMay 2022View details →

Data from: Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma

Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, saving time and (human) effort. However, their presence in social settings raises the need for a better understanding of their effect on social interactions and how they may be used to enhance cooperation towards the public good, instead of hindering it. To this end, we present an experimental study of human delegation to autonomous agents and hybrid human-agent interactions centered on a non-linear public goods dilemma with uncertain returns in which participants face a collective risk. Our aim is to understand experimentally whether the presence of autonomous agents has a positive or negative impact on social behaviour, equality and cooperation in such a dilemma. Our results show that cooperation and group success increases when participants delegate their actions to an artificial agent that plays on their behalf. Yet, this positive effect is less pronounced when humans interact in hybrid human-agent groups, where we mostly observe that humans in successful hybrid groups make higher contributions earlier in the game. Also, we show that participants wrongly believe that artificial agents will contribute less to the collective effort. In general, our results suggest that delegation to autonomous agents has the potential to work as commitment devices, which prevent both the temptation to deviate to an alternate (less collectively good) course of action, as well as limiting responses based on betrayal aversion.

opencc-by-3.0-usMay 2022View details →

Oscillatory Flow Testing Data Collected at Field Site for Research in Fractured Sedimentary Rock (FSR)^2

This dataset contains raw and processed pressure data collected in 2019 during oscillatory flow testing experiments at the Field Site for Research in Fractured Sedimentary Rock (FSR)^2 near Madison, WI. The included ReadMe file describes the data and code used in data processing. The companion processing and analysis code is included as a separate upload (doi:10.5281/zenodo.6584777)

opencc-by-4.0Jun 2022View details →

Dataset and R script for Collection and Processing of Behavioural Data of the Olive Fruit Fly, Bactrocera oleae, when Exposed to Olive Twigs Treated with Different Commercial Products

We provide raw data and R script for analysis of data published in: 1) Daher, E.; Cinosi, N.; Chierici, E.; Rondoni, G.; Famiani, F.; Conti, E. Field and Laboratory Efficacy of Low-Impact Commercial Products in Preventing Olive Fruit Fly, Bactrocera oleae, Infestation. Insects 2022, 13, 213. https://doi.org/10.3390/insects13020213 2) Daher, E.; Chierici, E.; Cinosi, N.; Rondoni, G.; Famiani, F.; Conti, E. Collection and Processing of Behavioural Data of the Olive Fruit Fly, Bactrocera oleae, when Exposed to Olive Twigs Treated with Different Commercial Products. Data 2022, 7,

Data collected from interconnect operated 40'000 hours in SOFC mode

Complete set of data acquired from the characterization of interconnect extracted from SOFC stack operated 40'000 hours

The visualization of the collected data corresponding to the following paper: "The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate Hearing, Communication, and Conversation disability: multinational experts' and patients' perspectives"

These two PDF files include the data collected for a study conducted by Afghah et.al, 2022. They include the responses of the participant in this study to a newly developed self-rated ICF-based questionnaire. One file includes the responses to 30 demographic questions and the other one 88 ICF-based questions. The presented data were collected in Germany, the USA, and Egypt as well as overall data. The design of the questionnaire is described here: Afghah, T., Alfakir, R., Meis, M., van Leeuwen, L. M., Kramer, S. E., Hammady, M., Youssif, M., & Wagener, K. C. (2021). The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate hearing, communication, and conversation disability: multinational experts' and patients' perspectives. Zenodo. https://doi.org/10.5281/zenodo.5534360. This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project ID: 352015383 – SFB 1330, C4.

opencc-zeroJul 2022View details →

Six years of wild bee monitoring collections data using Blue Vane traps in Southern Pennsylvania, USA

Turley NE, Biddinger DJ, Joshi NK, López-Uribe MM. 2022. Six years of wild bee monitoring shows changes in biodiversity within and across years and declines in abundance. Ecology and Evolution. Wild bees form diverse communities that pollinate plants in both native and agricultural ecosystems making them both ecologically and economically important. The growing evidence of bee declines has sparked increased interest in monitoring bee community and population dynamics using standardized methods. Here, we studied the dynamics of bee biodiversity within and across years by monitoring wild bees adjacent to four apple orchard locations in Southern Pennsylvania, USA. We collected bees using passive Blue Vane traps continuously from April to October for six years (2014-2019) amassing over 26,000 bees representing 144 species. We quantified total abundance, richness, diversity, composition, and phylogenetic structure. There were large seasonal changes in all measures of biodiversity with month explaining an average of 72% of the variation in our models. Changes over time were less dramatic with years explaining an average of 44% of the variation in biodiversity metrics. We found declines in all measures of biodiversity especially in the last 3 years, though additional years of sampling are needed to say if changes over time are part of a larger trend. Analyses of population dynamics over time for the 40 most abundant species indicate that about one third of species showed at least some evidence for declines in abundance. Bee family explained variation in species-level seasonal patterns but we found no consistent family-level patterns in declines, though bumble bees and sweat bees were groups that declined the most. Overall, our results show that season-wide standardized sampling across multiple years can reveal nuanced patterns in bee biodiversity, phenological patterns of bees, and population trends over time of many co-occurring species. These datasets could be used to quantify the relative effects that different aspects of environmental change have on bee communities and to help identify species of conservation concern.

Data collected by citizen scientists reveal the role of climate and phylogeny on the frequency of shelter types used by frogs across the Americas

Supplementary Material  of the manuscript on frog shelters across americas. Raw data and figures. Table S1. The number of all anuran observations per species per country in the iNaturalist dataset on July 1, 2021. Table S2. Distribution of shelter types among frog species retrieved from the iNaturalist platform across the Americas. Species with shelter first time reports are marked with *, shelter types are: AH = Holes in an artificial material; AS = Artificial surface; HG = Hole in the ground; HR = Among rocks; VBa = Hollow in bamboo; VBr = Bromelias or bromelia-like plants; VL = Live vegetation; VT = Tree trunk; VD = Leaf litter; WA = Water Table S3. Anuran shelter sites around the world based on our literature review. *indicates the reference is secondary literature

An inventory of school buildings in Central Sulawesi (Indonesia) developed through a mixed-mode data collection approach

Urban disaster risk management and reduction requires the development and periodic updating of regional building inventories. However, the development of such inventories can be very cost-intensive and time-consuming, making this a challenging task, particularly for low- and middle-income countries. We used a combination of side-walk and remote survey methods to develop an inventory of 2536 school buildings in Central Sulawesi, Indonesia. The Central Sulawesi region was affected by the 28th September 2018 Palu earthquake. The moment magnitude (Mw) 7.5 earthquake caused intense ground shaking in the epicentral area, triggering liquefaction, tsunami and major landslides, leading to over 4,000 fatalities and 165,000 displaced people. At least 1299 schools were reported to have been damaged or collapsed, affecting about 184,000 students. The developed inventory includes information on location, number of stories, occupancy characteristics (building use and population), age, type of lateral load resisting systems, building materials, structural vulnerabilities, and structural conditions following the 2018 earthquake. The developed database can be used in pre-event/long-term risk analysis and management, post-event/near-real-time loss estimation, and regional-level decision-making on school assets and related policies. The database has been made available for public use and can be readily harmonised with similar databases for other regions. This data repository also contains information on interviews with 30 school principals in the region. The interview details the damage states and functional recovery trajectory of school buildings in the 30 schools.

opencc-by-4.0Aug 2022View details →

BioExcel Use Case 1: collection of output data from molecular dynamics simulation

The Use Case aims to address all the challenges related to antibody design through an integrative approach combining the core BioExcel software comprising of GROMACS, HADDOCK and PMX. The folder  contains the GROMACS output files (xtc and pdb file). Molecular Dynamics simulations have been performed with GROMACS version 2020 and CHARMM36 force field. The input files and scripts of the final protocol are publicly available on BioExcel GitHub https://github.com/bioexcel/BioExcel-UseCase1. The Use Case 1 protocol was presented at the BioExcel Summer School on Biomolecular Simulation in 2021 (see <a href="https://doi.org/10.5281/zenodo.7009238">https://doi.org/10.5281/zenodo.7009238</a> or <a href="https://youtu.be/_TDKfKX4kwM">https://youtu.be/_TDKfKX4kwM</a>)

opencc-zeroAug 2022View details →

Baltic Sea stable isotope ecology meta-data collection

Stable isotope analysis (SIA) has become a pivotal method in food web and ecological research, leading to the establishment of the research field "stable isotope ecology". We conducted the first systematic review of stable isotope studies in this field in the Baltic Sea macro-region (Eglite et al. 2022). The meta-data collection provided here includes the information extracted from all 164 studies identified in the systematic review across various dimensions (topic, space, time, taxonomic, and technical focus), but not primary stable isotope data. The first published version of this meta-data collection represents the status as of July 10, 2021, and was used to filter and extract meta-data to produce the figures and tables in the review by Eglite et al. (2022). The meta-data collection is a resource for both experienced isotope ecologists and newcomers to grasp and access all published Baltic Sea SIA work on any fundamental or applied research topic, sub-region, taxon, or trophic group of interest. It also represents an ideal foundation for an envisioned "Baltic Isobank" database of primary stable isotope data, following the vision outlined in Eglite et al. (2022). We will provide regular updates of the meta-data collection in the Dryad repository, based on new runs of the systematic review query and including any additions of research papers and corrections received from the stable isotope ecology community. For this purpose, we encourage researchers to inform us about newly published research papers employing stable isotopes in the Baltic Sea ecology field by sending an e-mail with the publication reference to baltic-isobank@geomar.de.

opencc-by-4.0Sep 2022View details →

Collection of Extracted Data as part of the Publication "(Why) Do Taint Analyzers Fail in Practice? A Critical Literature Review"

This document provides an extensive list of the data extraction process for the systematic literature review. This anonymous version is review-friendly for double-blinded peer reviews.

opencc-zeroSep 2022View details →

Carolina Collective survey data

Despite many innovative ideas generated in response to COVID-19, few studies have examined community preferences for these ideas. Our study aimed to determine university community members' preferences for three novel ideas identified through a crowdsourcing open call at the University of North Carolina (UNC) for making campus safer in the pandemic, as compared to existing (i.e. pre-COVID-19) resources. An online survey was conducted from March 30, 2021 – May 6, 2021. Survey participants included UNC students, staff, faculty, and others. The online survey was distributed using UNC's mass email listserv and research directory, departmental listservs, and student text groups. Collected data included participant demographics, COVID-19 prevention behaviors, preferences for finalist ideas vs. existing resources in three domains (graduate student supports, campus tours, and online learning), and interest in volunteering with finalist teams. In total 437 survey responses were received from 228 (52%) staff, 119 (27%) students, 78 (18%) faculty, and 12 (3%) others. Most participants were older than age 30 years (309; 71%), women (332, 78%), and white (363, 83.1%). Five participants (1%) were gender minorities, 66 (15%) identified as racial/ethnic minorities, and 46 (10%) had a disability. Most participants preferred the finalist idea for a virtual campus tour of UNC's lesser-known history compared to the existing campus tour (52.2% vs. 16.0%). For graduate student supports, 41.4% of participants indicated no preference between the finalist idea and existing supports; for online learning resources, the existing resource was preferred compared to the finalist idea (41.6% vs. 30.4%). Most participants agreed that finalists' ideas would have a positive impact on campus safety during COVID-19 (81.2%, 79.6%, and 79.2% for finalist ideas 1, 2 and 3 respectively). 61 (14.1%) participants indicated interest in volunteering with finalist teams. Together these findings contribute to the development and implementation of community-engaged crowdsourced campus safety interventions during COVID-19.

opencc-by-4.0Oct 2022View details →

The dataset for DATA 2022 paper "Dataset: An Indoor Smart Traffic Dataset and Data Collection System"

The dataset for DATA 2022 paper "Dataset: An Indoor Smart Traffic Dataset and Data Collection System" This archive contains a traffic light dataset that can be used for traffic light detection/classification. The dataset is collected from an indoor smart traffic testbed. In this testbed, we use fences to simulate the road's boundaries and use movable toy traffic signs and traffic lights to simulate those in real-world traffic scenes. An F1TENTH vehicle drives along the fence autonomously. Two cameras are mounted on both sides of the vehicle, which capture images of traffic lights and traffic signs on both sides of the track. This dataset contains 3507 images captured by the F1TENTH vehicle. Each image comes with ground truth bounding boxes that enclose the traffic lights and a label indicating the current state of the traffic light, 0 for a green light and 1 for a red light. Please cite our paper if you are using this dataset.

opencc-by-4.0Sep 2017View details →

Comparing mail-in self-collected specimens sent via United States Postal Service versus clinic-collected specimens for the detection of Chlamydia trachomatis and Neisseria gonorrhoeae in extra-genital sites data set

This data set was used to evaluate the concordance between clinic-collected extra-genital specimens and self-collected mailed-in extra-genital specimens among participants seeking sexually transmitted infection testing at a free clinic in Hollywood, CA. The newest version of the file reflects sample adequacy control (SAC) cycle threshold values for each participant.

opencc-zeroApr 2024View details →

Data from: Orchid trade at the source: Epiphytic species with conspicuous flowers in low-elevation forests are more locally collected in a Philippine key biodiversity area

Orchids are the most heavily traded plant group globally, putting pressure on wild populations in many source countries like the Philippines. Despite its rich orchid diversity, there remains a notable gap in understanding the factors driving orchid trade within the country. To address this knowledge gap and support orchid conservation efforts, we utilized a five-year orchid diversity dataset extensively collected through floristic field and village garden surveys in one of the largest key biodiversity areas in the southern Philippines. We employed a trait-based approach to investigate ecological drivers of local orchid collection within this source area. Our results show that around 36% of local orchid diversity have predicted collection risks of ≥50%. Notably, locally collected orchid species exhibited multiple, large, and conspicuously colored flowers that are found in low-elevation forests and higher up in forest stratum. Elevational distribution and flower size emerged as the strongest predictors, potentially influencing collection preferences. Our analysis of predicted collection risks underscores the vulnerability of both threatened and non-threatened orchid species to local collection pressures. Moreover, we highlight the practical utility of our trait-based approach in predicting risks and informing management strategies for local orchid conservation. This research marks a significant step towards identifying ecological drivers influencing orchid trade at its source, providing insights that can inform targeted conservation strategies across many key biodiversity areas for this highly diverse, charismatic, and threatened plant family.

opencc-by-4.0Sep 2023View details →

Radiographic data of 'Python killing a Gnu' by Antoine-Louis Barye, The J. Paul Getty Museum collection

Summary This submission contains radiographic data including small metal markers of the sculpture <a href="https://www.getty.edu/art/collection/object/103RQ1">Python Killing a Gnu (1840s–1860s), Antoine-Louis Barye (French, 1796 - 1875), the J. Paul Getty Museum collection</a> number 85.SE.48. (h 27.9 cm, w 39.1 cm, d 20.5 cm.) The data is made available as part of [Bossema et al., 2024].   Apparatus The dataset is acquired using the X-ray facility located at the J. Paul Getty Museum, Los Angeles. Full details can be found in [Bossema et al., 2024].   List of Contents The content of the submission is given below. All raw data (i.e. no corrections) is made available in .tif format. The folder contains: <ul> <li>darks_flat: folder containing darkfield and flatfield images, frame*.tif</li> <li>data: raw (unprocessed or uncorrected) projection data, frame*.tif</li> </ul>   Additional Links These datasets are produced by the <a>Computational Imaging group</a> at Centrum Wiskunde & Informatica (CI-CWI). Accompanying code can be found here.   Contact Details For more information or guidance in using these datasets, please get in touch with  <ul> <li>bossema [at] cwi.nl</li> </ul> References <a href="https://www.nature.com/articles/s41467-024-48102-w">Bossema, F.G., Palenstijn, W.J., Heginbotham, A. et al. Enabling 3D CT-scanning of cultural heritage objects using only in-house 2D X-ray equipment in museums. Nat Commun 15, 3939 (2024). https://doi.org/10.1038/s41467-024-48102-w</a>

opencc-by-4.0May 2024View details →

EBSD data, Entia Dome Amphibolite samples (2017 sample collection, unoriented)

Description: This dataset contains EBSD data (.ctf file format) collected on amphibolite (± clinopyroxene, ± garnet-bearing) samples from the Entia dome, central Australia. Data collection Methods (in brief): EBSD data was collected in 2020 at the University of Minnesota Characterization Facility (multi-user facility), using a JEOL 6500 scanning electron microscope. EBSD data was collected on an Oxford Instruments Symmetry detector; data collection and processing was performed using the AZtec software.

opencc-by-4.0May 2024View details →

Marine seismic multichannel data collected in the Pomeranian Bay and around Rügen (southern Baltic Sea) by University of Hamburg

The dataset includes multi-channel seismic data collected during various marine student training cruises. The cruises were organized and led by the Institute of Geophysics at the University of Hamburg. The seismic sources were GI-Guns or Mini-GI-Guns from the company SODERA. The data was recorded with various analog streamer systems. All data are poststack time-migrated with suppressed seafloor multiples. All data are in SEG-Y format with CDP-coordinates at standard byte positions (UTM33) <table> <tbody> <tr> <td> Vessel </td> <td> Cruise-ID </td> <td> Year </td> </tr> <tr> <td> RV ALKOR </td> <td> AL225 </td> <td> 2003 </td> </tr> <tr> <td> RV HEINCKE </td> <td> HE217 </td> <td> 2004 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL263 </td> <td> 2005 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL562 </td> <td> 2021 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL582 </td> <td> 2022 </td> </tr> <tr> <td> RV ALKOR </td> <td> AL605 </td> <td> 2023 </td> </tr> </tbody> </table>