Find research datasets worth reusing

opencc-by-4.0Feb 2020View details →

Impact of horizontal resolution on global ocean-sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)

Datasets for the  Geoscientific Model Development publication: "Impact of horizontal resolution on global ocean-sea-ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)" Abstract:  This paper presents global comparisons of fundamental global climate variables from a suite of four pairs of matched low- and high-resolution ocean and sea-ice simulations that are obtained following the OMIP-2 protocol (Griffies et al., 2016) and integrated for one cycle (1958-2018) of the JRA55-do atmospheric state and runoff dataset (Tsujino et al., 2018). Our goal is to assess the robustness of climate-relevant improvements in ocean simulations (mean and variability) associated with moving from coarse (~1º) to eddy-resolving (~0.1º) horizontal resolutions. The models are diverse in their numerics and parameterizations, but each low-resolution and high-resolution pair of models is matched so as to isolate, to the 20 extent possible, the effects of horizontal resolution. A variety of observational datasets are used to assess the fidelity of simulated temperature and salinity, sea surface height, kinetic energy, heat and volume transports, and sea ice distribution. This paper provides a crucial benchmark for future studies comparing and improving different schemes in any of the models used in this study or similar ones. The biases in the low-resolution simulations are familiar and their gross features – position, strength, and variability of western boundary currents, equatorial currents, and Antarctic Circumpolar Current – are 25 significantly improved in the high-resolution models. However, despite the fact that the high-resolution models “resolve’’ most of these features, the improvements in temperature or salinity are inconsistent among the different model families and some regions show increased bias over their low-resolution counterparts. Greatly enhanced horizontal resolution does not deliver unambiguous bias improvement in all regions for all models.

Historical Issue Data of Projects on Jira

This dataset contains all the historical issues from sixty-six Apache Open Source projects collected in February 2018. It was used in the paper “Traceability Network Analysis: A Case Study of Links In Issue Tracking Systems” published in the Seventh International Workshop on Artificial Intelligence and Requirements Engineering (AIRE'20) to study issue traceability as a network structure.

opencc-by-sa-4.0Nov 2017View details →

Project Panormos Archaeological Survey: Daily Log (survey-dailylog)

This forms part of the preliminary open data release for the Project Panormos archaeological survey. The  ```panormos/survey-dailylog``` repository contains the source documents for the survey project's daily logs, written and edited by different team members and designed to provide a narrative-based record of the activities and mood of the team through the fieldwork. It does NOT include any raw archaeological data (e.g. tables of finds or spatial information) produced by the project, and should not be taken as the final word in interpretation. Release 0.2.0 includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Release 0.1.0 includes data from the 2015 season. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Releases below 1.0.0 represent preprint working datasets before final publication. Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.

opencc-by-sa-4.0Nov 2017View details →

Project Panormos Archaeological Survey: Method Design (survey-design)

This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-design" repository contains data collection templates used to record the survey data (particularly the intensive part of the survey), both electronic versions based on XLSForm and XForm format (e.g. for access with ODK software, CSV versions of the XLS formats are also preserved for long-term readability), as well as paper forms (such as walker collection books).  Release 0.2.0 includes templates from the 2015, 2017 and 2019 seasons. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. Release 0.1.0 includes templates from the 2015 season. The design of the forms is released under a CC BY-SA license, which means that users may re-use, adapt and create derivative versions on condition that the source is attributed and that any modified versions are released under the same terms. Releases below 1.0.0 represent preprint working datasets before final publication. Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.

openother-atOct 2017View details →

Project Panormos Archaeological Survey: Archaeological Data (survey-data)

This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/survey-data" repository contains archaeological data collected as part of the Project Panormos intensive archaeological survey, including tract data (pottery counts, environment, etc.), POI (points-of-interest), finds descriptions and contexts, and photo metadata. Scripts to correct raw imported data files (e.g. from ODK software) into the "canonical" versions are also made available here. Release 0.2.0 includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Release 0.1.0 includes data from the 2015 season. It is a pre-publication or "observation" version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Releases below 1.0.0 represent preprint working datasets before final publication. Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.

openother-atNov 2017View details →

Project Panormos Archaeological Survey: Photograph Archive (survey-photo-archive)

This forms part of the preliminary open data release for the Project Panormos archaeological survey. The panormos/survey-photo-archive repository contains the source archive of digital images (primarily photographs) created during the course of the fieldwork for Project Panormos excavations and survey. This includes field photographs taken along with tract and POI data, unprocessed photographs of finds, and occasionally edited, colour- or balance-corrected photographs in an appropriate quality for (re-)publication. Some included photographs are of the general region and although produced by team members are not a direct result of the survey work. There are some restrictions on the distribution of images from the original source archive; these images will not be available in the distribution of "Core" released photographs found here, but may be made available on request. Basic metadata from these images may be available in the associated metadata files nonetheless. Release 0.2.0 includes data from the 2015, 2017 and 2019 seasons. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Release 0.1.0 includes data from the 2015 season. It is a pre-publication or observation version. No derivative works should be made until the expiry of the observation phase: please see enclosed LICENSE file for details. Releases below 1.0.0 represent preprint working datasets before final publication. Although every effort has been made to reduce errors and make the datasets available in a form that should be easy to navigate, the status of the data as a form of "beta" should be borne in mind.

Data and code for publication "The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"

Data and code underlying the publication <a href="https://tc.copernicus.org/preprints/tc-2019-330/">"The role of history and strength of the oceanic forcing in sea level projections from Antarctica with the Parallel Ice Sheet Model"</a>. Journal: The Cryosphere Authors: Ronja Reese1*, Anders Levermann1,2,3, Torsten Albrecht1, Hélène Seroussi4, Ricarda Winkelmann1,2 (1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany (2) Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam, Germany (3) LDEO, Columbia University, New York, USA (4) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA (*) email ronja.reese@pik-potsdam.de Abstract: Mass loss from the Antarctic Ice Sheet constitutes the largest uncertainty in projections of future sea level rise. Ocean-driven melting underneath the floating ice shelves and subsequent acceleration of the inland ice streams is the major reason for currently observed mass loss from Antarctica and is expected to become more important in the future. Here we show that for projections of future mass loss from the Antarctic Ice Sheet, it is essential (1) to better constrain the sensitivity of sub-shelf melt rates to ocean warming and (2) to include the historic trajectory of the ice sheet. In particular, we find that while the ice sheet response in simulations using the Parallel Ice Sheet Model is comparable to the median response of models in three Antarctic Ice Sheet Intercomparison projects – initMIP, LARMIP-2 and ISMIP6 – conducted with a range of ice sheet models, the projected 21st century sea level contribution differs significantly depending on these two factors. For the highest emission scenario RCP8.5, this leads to projected ice loss ranging from 1.4 to 4.0 cm of sea level equivalent in the ISMIP6 simulations where the sub-shelf melt sensitivity is comparably low, opposed to a likely range of 9.2 to 35.9 cm using the exact same initial setup, but emulated from the LARMIP-2 experiments with a higher melt sensitivity based on oceanographic studies. Furthermore, using two initial states, one with and one without a previous historic simulation from 1850 to 2014, we show that while differences between the ice sheet configurations in 2015 are marginal, the historic simulation increases the susceptibility of the ice sheet to ocean warming, thereby increasing mass loss from 2015 to 2100 by about 50 %. Our results emphasize that the uncertainty that arises from the forcing is of the same order of magnitude as the ice dynamic response for future sea level projections. Large zip files contain data, small zip file python notebooks for data analysis and PISM code. Please contact ronja.reese@pik-potsdam.de if you have any further questions.

Is winter precipitation change over Europe underestimated in current climate projections?

Model output, observational data, and scripts corresponding to the manuscript "Is winter precipitation change over Europe underestimated in current climate projections?" Abstract IPCC models project a likely increase in winter precipitation over northern Europe under a high-emission scenario. These projections, however, typically rely on relatively coarse ~100-km-resolution models that might misrepresent important processes driving precipitation, such as extratropical cyclone activity. Here, we show that a pioneering 50-km-atmosphere–1/12°-ocean global coupled model simulation projects a substantially larger increase in winter precipitation over northwestern Europe by mid-century than lower-resolution configurations. For this increase, both the highest ocean and atmosphere resolutions are essential: First, only the eddy-rich (1/12°) ocean projects a progressive northward shift and warming of the Gulf Stream. Second, only the 50-km atmosphere translates such warming into strengthened North Atlantic extratropical cyclone activity through enhanced diabatic heating and eddy-driven jet. Our results suggest that climate projections using traditional ~100-km-resolution models might underestimate the precipitation increase over Europe in winter and, consequently, the related potential risks.

Brazil STAR Project Surveys

To evaluate the determinants of household cooking fuel choice in Amazon riverside communities, a cross-sectional study was conducted in 14 riverside communities (593 households) located on the Rio Negro, Amazonas, Brazil. These GPS coordinates of the communities can be found in the surveys. The study was conducted over 9 weeks between April and June 2017. Two surveys were deployed in each of the 14 communities. One survey targeted individual households, whilst the second focused on the community as a whole. The households survey included open- and close-ended questions based on the World Bank guidelines for questionnaire design for household energy use from living standards measurement studies. One purpose of the household survey was to obtain data about their socio-demographic data such as income, education, house occupancy, house ownership, kitchen types, their choice of cooking fuels, their energy usage data, as well as their energy needs and aspirations.

opencc-zeroDec 2019View details →

Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf

Projections of climate change impacts on living resources are being conducted frequently, and the goal is often to inform policy. Species projections will be more useful if uncertainty is effectively quantified. However, few studies have comprehensively characterized the projection uncertainty arising from greenhouse gas scenarios, Earth system models, and both structural and parameter uncertainty in species distribution modeling. Here we conducted 8964 unique 21st century projections for shifts in suitable habitat for seven economically important marine species including American lobster, Pacific halibut, Pacific ocean perch, and summer flounder. For all species, both the Earth system model used to simulate future temperatures and the niche modeling approach used to represent species distributions were important sources of uncertainty, while variation associated with parameter values in niche models was minor. Greenhouse gas emissions scenario contributed to uncertainty for projections at the century scale. The characteristics of projection uncertainty differed among species and also varied spatially, which underscores the need for improved multi-model approaches with a suite of Earth system models and niche models forming the basis for uncertainty around projected impacts. Ensemble projections show the potential for major shifts in future distributions. Therefore, rigorous future projections are important for informing climate adaptation efforts.

opencc-zeroJul 2020View details →

LTREB: Yaha Tinda Elk Project

The Ya Ha Tinda Elk project is now amongst the longest running elk research project in the world. Initiated in 2000, the Ya Ha Tinda elk project is the result of a collaboration between University of Alberta, University of Montana, Parks Canada, and Alberta Environment and Parks, Fish and Wildlife Division. While early studies in the late 1970's and early 1980's lead by Dr. Luigi Morgantini laid the foundation for our latter studies (Morgantini and Hudson 1988), there was a ~ 20-year gap in active research on Alberta's most important elk population. Initiated at first because of questions regarding the changing migratory dynamics of the migratory Ya Ha Tinda elk population, the project has since evolved into North America's longest running wild, free-ranging elk research projects focused on fundamental and applied research. The Ya Ha Tinda is one of Alberta's most pristine montane rough fescue winter ranges and elk which provides the habitat foundation for one of Canada's most iconic and largest populations. The Ya Ha Tinda elk population is also a transboundary system, with annual elk migratory cycles that have spanned two provinces (elk have migrated into Yoho National Park, British Columbia), two land management regimes including Banff National Park, Provincial Forest Land Use Zones, and Provincial multiple use zones. Ya Ha Tinda is also managed as a premier bull elk harvest area that provides much sought-after hunting opportunities to residents and guided hunters alike. Meaning mountain prairie in the Stoney Sioux language, Ya Ha Tinda has long been important to First Nation communities for hunting and traditional land use practices. And the region is also home to recovered populations of grizzly bears, wolves, and other large mammal predator-prey species, including for the first time in over a century – Plains bison. In this transboundary setting, our long-term research has contributed directly to enhancing interagency cooperation and management of this important elk population. Our long-term studies have documented dramatic changes in migratory behavior and population dynamics arising from this complex landscape of gradients in carnivore densities, habitat productivity, and differences in land management practices. Over the last 30-40 years migrant to resident ratios have substantially decreased from 12:1 (1977-1987, (Morgantini and Hudson 1988)), 3:1 in the early 2000's (Hebblewhite et al. 2006), to more recently a ratio closer to 1:1 (Berg 2019). Early studies in the 2000's demonstrated that migratory elk moving west into BNP experienced much higher forage quality which translated to higher calf 8-month old weights and higher pregnancy rates (Hebblewhite et al. 2008). Yet western migrants also experienced reduced predation risk from wolves, but higher risk from grizzly bear predation (Hebblewhite and Merrill 2007, MacAulay 2019). Resident elk remaining year-round near Ya Ha Tinda, in contrast, experienced lower forage quality, but, compensated for this by reducing predation risk by seeking out fine-scale predation risk refugia surrounding human development at the Ya Ha Tinda (Hebblewhite and Merrill 2009, Robinson et al. 2010). Commensurate with these shifts in the migratory dynamics of this population have been correspondingly significant population shifts and changes (Hebblewhite et al. 2006, Killeen et al. 2015, Berg 2019). In the last decade, a new migratory strategy has emerged with female elk now undertaking an eastward migration into Provincial multiple use lands in and adjacent to the 2001 Dogrib fire (Killeen et al. 2015). Long-term research revealed individual elk are making density-dependent switches in migratory behavior, evidently to seek out these new beneficial areas (Eggeman et al. 2016). In 2013 – 2017, we lead a neonate calf survival research component to understand spatial variation in calf survival (Berg 2019). Calf survival and cow:calf ratios have indicated that calf survival of elk migrating east on to industrial forest experienced higher calf survival. In January 2019, Jodi Berg defended her PhD thesis on elk calf survival, and her thesis details are provided in our publications section below. This new migratory behavior has seemingly stabilized the Ya Ha Tinda elk population, which has fluctuated between 400 – 600 elk now for almost a decade. Our long-term predator-prey research shows, however, that this stabilization is not likely a result of wolf or grizzly bear predation stabilizing the population at low density (Hebblewhite et al. 2018). Instead, our research suggests that migratory behavior itself may be providing escape from low densities (Hebblewhite et al. 2018).

A calibrated groundwater model (Modflow-NWT) data repository in the Koga Irrigation Project area, Ethiopia

The repository includes the research data pertaining to the Modflow-NWT based groundwater model developed for the Koga irrigation project area, Ethiopia. The database constitutes three archived data folders namely, 1. MainData (mostly excel files which include model forcings, data used in model calibration, citizen science data, etc.), 2. GIS (mostly geospatial files to assist readers with the spatial locations of the irrigation project structures, as well as the important data and administrative locations), 3. ModelFiles (mostly text files which include model inputs and outputs). The data has been used in preparation of the manuscript titled, "A numerical framework to advance agricultural water management under hydrological stress conditions in a data scarce environment", published in the Agricultural Water Management journal (<a href="http://dx.doi.org/10.1016/j.agwat.2021.106947">10.1016/j.agwat.2021.106947</a>). Readers are requested to go through this article to find more details on the data. The model simulations ranged from 1st January 2008 to 15th August 2019.

opencc-zeroJul 2020View details →

Data from: Projected impacts of warming seas on commercially fished species at a biogeographic boundary of the European continental shelf

1. Projecting the future effects of climate change on marine fished populations can help prepare the fishing industry and management systems for resulting ecological, social and economic changes. Generating projections using multiple climate scenarios can provide valuable insights for fisheries stakeholders regarding uncertainty arising from future climate data. 2. Using a range of climate projections based on the Intergovernmental Panel on Climate Change A1B, RCP4.5 and RCP8.5 climate scenarios, we modelled abundance of eight commercially important bottom dwelling fish species across the Celtic Sea, English Channel and southern North Sea through the 21st century. This region spans a faunal boundary between cooler northern waters and warmer southern waters, where mean sea surface temperatures are projected to rise by 2 to 4ºC by 2098. 3. For each species, Generalised Additive Models were trained on spatially explicit abundance data from six surveys between 2001 and 2010. Annual and seasonal temperatures were key drivers of species abundance patterns. Models were used to project species abundance for each decade through to 2090. 4. Projections suggest important future changes in the availability and catchability of fish species, with projected increases in abundance of red mullet (Mullus surmuletus L.), Dover sole (Solea solea L.), John dory (Zeus faber L.) and lemon sole (Microstomus kitt L.) and decreases in abundance of Atlantic cod (Gadus morhua L.), anglerfish (Lophius piscatorius L.) and megrim (Lepidorhombus whiffiagonis L.). European plaice (Pleuronectes platessa L.) appeared less affected by projected temperature changes. Most projected abundance responses were comparable among climate projections, but uncertainty in the rate and magnitude of changes often increased substantially beyond 2040. 5. Synthesis and applications. These results indicate potential risks as well as some opportunities for demersal fisheries under climate change. These changes will challenge current management systems, with implications for decisions on target fishing mortality rates, fishing effort and allowable catches. Increasingly flexible and adaptive approaches that reduce climate impacts on species while also supporting industry adaptation are required.

opencc-zeroAug 2020View details →

Mouse substantia nigra responses to optogenetic stimulation of projections from striatum and globus pallidus

As a rodent basal ganglia (BG) output nucleus, the substantia nigra pars reticulata (SNr) is well positioned to impact behavior. SNr neurons receive GABAergic inputs from the striatum (direct pathway) and globus pallidus (GPe, indirect pathway). Dominant theories of action selection rely on these pathways' inhibitory actions. Yet, experimental results on SNr responses to these inputs are limited and include excitatory effects. Our study combines experimental and computational work to characterize, explain, and make predictions about these pathways. We observe diverse SNr responses to stimulation of SNr-projecting striatal and GPe neurons, including biphasic and excitatory effects, which our modeling shows can be explained by intracellular chloride processing. Our work predicts that ongoing GPe activity could tune the SNr operating mode, including its responses in decision-making scenarios, and GPe output may modulate synchrony and low-frequency oscillations of SNr neurons, which we confirm using optogenetic stimulation of GPe terminals within the SNr.

opencc-by-4.0Aug 2020View details →

Stacked Dense Denoise-Segmentation FBP synthetic reconstruction from 3601 projection without ring artefacts

The FBP recontruction without ring artefacts from the 3601 projection of the synthetic dataset used in the Stacked Dense Denoise-Segmentation Network. For the reconstruction the TomoPhantom software was used (<a href="https://doi.org/10.5281/zenodo.2546856">https://doi.org/10.5281/zenodo.2546856</a>). We acknowledge Diamond Light Source for the time on I13-2 under proposal mt9396. <div> </div>

opencc-by-4.0Feb 2018View details →

Project Panormos Archaeological Survey: Satellite Image (gis-copernicus)

This forms part of the preliminary open data release for the Project Panormos archaeological survey. This "panormos/gis-copernicus" repository contains a raster used as a background for mapping the survey data. This image was derived from <a href="https://scihub.copernicus.eu">Copernicus Sentinel Data</a>, and is redistributed in compliance with the legal notice on the use of Copernicus Sentinel Data

opencc-by-4.0Aug 2020View details →

[Dataset] Expanding the Number of Reviewers in Open-Source Projects by Recommending Appropriate Developers

A rich collection of review and development data, including information about reviewers, developers and their commits within five large ASF projects and four Gerrit communities.

opencc-by-4.0Aug 2020View details →

Raw Project Data Set: Uncovering the Hidden Dangers:Finding Unsafe Go Code in the Wild

Raw project source code data from Git used to create our data set for our paper "Uncovering the Hidden Dangers: Finding Unsafe Go Code in the Wild". For more information, please read the README.md file and check out our data set repository at https://github.com/stg-tud/unsafe_go_study_results

opencc-zeroAug 2020View details →

Qualitative data on: Sustainability drivers and inhibitors for the health system performance improvement projects in selected health facilities in Kenya

Objectives to investigate the health managers perceived sustainability status of the health facilities institutional improvement projects and their experiences on factors that facilitated or constrained their maintenance, with intentions of informing relevant strategies or policies in Kenya's health sector. Methods A qualitative study, nested within a quasi-experimental study. Thirty-three project-teams of health managers were purposively selected and interviewed based on their project implementation success rates post-training. The managers had previously undergone a 9-month leadership training, complimented with facility-based team coaching around the chosen projects. The training was funded by the USAID; however, the implementation of the projects was based on how the participants could innovatively utilize the existing resource to create a positive change. The projects were housed within 20 public, nine faith-based, and four private health facilities in 19 Counties in Kenya. The interviews explored the manager's experiences in sustaining the successfully implemented projects within the (24-60 months post-training period). We asked Managers to describe factors they perceived enabled or hindered the sustainability of the successfully implemented institutional improvement project. The digitally audio-recorded interviews were transcribed verbatim. Data on barriers and enablers were thematically analyzed. Results Twenty-seven out of the 33 successfully implemented projects reported sustainability within periods ranging from 24-60 months post-training. Seven themes related to drivers of sustainability emerged, namely; program design, stakeholder's buy-in, board members, communication, coaching, presence of change champion, devolution and political good-will. Four sustainability inhibitors identified were; human resources constraints, policy implementation, misalignment of projects with daily operations, devolution and political interference. Conclusions The sustainability of institutional improvement strategies such as projects implemented post-leadership training in public and private health facilities depends on the quality of board members, communication management and institutionalization of coaching culture. These findings are pertinent for planning and implementing similar health systems strengthening intervention in low-income countries.