Find research datasets worth reusing

opencc-by-4.0Jul 2021View details →

Coils test in simulated body fluid - H2020 UWIPOM2 PROJECT

Coils test in simulated body fluid https://www.youtube.com/watch?v=HXBaD884-DA&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1

opencc-by-4.0Dec 2022View details →

Data from Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States

This archive includes a minimal dataset needed to reproduce the analysis as well as a table (CSV) and spatial polygons (ESRI shapefile) of the resulting output from the publication: Hoecker, T.J., S. A. Parks, M. Krosby & S. Z. Dobrowski. 2023. Widespread exposure to altered fire regimes under 2°C warming is projected to transform conifer forests of the Western United States. Communications Earth and Environment. Publication abstract: Changes in wildfire frequency and severity are altering conifer forests and pose threats to biodiversity and natural climate solutions. Where and when feedbacks between vegetation and fire could mediate forest transformation are unresolved. Here, for the western U.S., we used climate analogs to measure exposure to fire-regime change; quantified the direction and spatial distribution of changes in burn severity; and intersected exposure with fire-resistance trait data. We measured exposure as multivariate dissimilarities between contemporary distributions of fire frequency, burn severity, and vegetation productivity and distributions supported by a 2 °C-warmer climate. We project exposure to fire-regime change across 65% of western US conifer forests and mean burn severity to ultimately decline across 63% because of feedbacks with forest productivity and fire frequency. We find that forests occupying disparate portions of climate space are vulnerable to projected fire-regime changes. Forests may adapt to future disturbance regimes, but trajectories remain uncertain.

opencc-by-4.0Jul 2023View details →

Fig. 4. Body ring 4, sternal projections. A–B. Dibolostethus sicarius Hoffman, 2009 in A review of the previously monotypic tribe Dibolostethini (Chelodesmidae: Chelodesminae) with description of two new species and a summary of the Chelodesmidae of the Tropical Andes Biodiversity Hotspot

Fig. 4. Body ring 4, sternal projections. A–B. Dibolostethus sicarius Hoffman, 2009, holotype, ♂ (VMNH110810). C–D. D. inopinatus Means, Bouzan & Ivanov sp. nov., holotype, ♂ (VMNH110813). A, C. Lateral views. B, D. Posterolateral views. Abbreviation: Cx = coxae.

opencc-by-4.0Jul 2023View details →

Interactive recommendations and action list for technical report from the UKRI Net Zero DRI Scoping Project

The UKRI Net Zero DRI Scoping Project produced evidence-based recommendations. This dataset provides an interactive way to list all of the recommendations and actions from the project. These files have been provided to show the mapping and links between the specific recommendations and the different strategic themes and roadmap actions proposed by the project.  Three file formats have been provided for ease of use: Excel, PDF, CSV. The recommendations, if opened in a spreadsheet, can be sorted or filtered based on a range of interest areas e.g. type of evidence, delivery pathway, strategic theme, delivery year.  There are two tabs in the spreadsheet. The first tab shows the recommendations discussed in the 'toolkit' section of the project's final technical report. The second tab shows actions discussed in the 'roadmap' section of the report. For full details about the evidence that underpins these recommendations, please see technical report found here: <a href="https://doi.org/10.5281/zenodo.8199984">https://doi.org/10.5281/zenodo.8199984</a>  The authors cited here are those who produced the files uploaded. Many other contributors are named in the technical report and is a synthesis of their work. Please also cite the technical report if you use this dataset.

opencc-by-4.0Oct 2022View details →

GEOLAB Project CTP-ISSR: monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience

The existing structures are facing continuous changes in the loading conditions during their life span. These changes can be caused by weather and geo-hazards events and affect the structural response which is often already weakened by aging. A clear understanding of the interaction between the superstructure, the foundation and the surrounding soil is one of the crucial aspects to deal with to adapt the design and maintenance to enhance the resilience of new and existing Critical Infrastructures (CI) often used way beyond their life expectancy. Besides the loading components already considered in engineering practice, CI endure loads having cyclic nature acting continuously during service life (e.g., wind) which are often disregarded in foundation design and may trigger collapse mechanisms. Indeed, they are usually modelled as equivalent-static actions thus neglecting the accumulation of generalized permanent displacements of piled foundations in terms of settlement, sliding and rotation. This lack in design approach can be attributed to very limited research contributions dealing with cyclic loads.  The CTP-ISSR (monotonic and cyclic Centrifuge Tests on Piles in sand proving Innovative Solutions to enhance Structural Resilience) project aims at investigating via centrifuge tests the behaviour of piled foundations under different loading types. Two series of centrifuge experiments on annular shaped pile groups and isolated piles embedded in Hostun sand were carried out at an increased gravity of 50 g in the Turner Beam Centrifuge at Schofield Centre, University of Cambridge.  To simulate prototype reinforced concrete piles, model piles, made up of cement and metal wires, were manufactured in laboratory by means of an ad-hoc mould and manual mortar pouring. Such modelling is necessary to replicate the strong dependency of pile cross-sectional moment capacity on the axial force. Piles were installed in an 850 mm steel tub filled with manually poured Hostun sand prepared with a low-to-medium relative density.  The first test included 2 single piles ad 2 groups of 8 piles connected by a circular rigid cap clear from the soil. The model foundations were subjected to monotonic vertical loads or vertical eccentric cyclic loads of different amplitudes and frequencies. In a similar fashion, the second test included 3 single piles ad 2 pile groups. In this case, the model foundations were subjected to monotonic vertical or horizontal loads or to cyclic horizontal loads of different amplitudes and frequencies. The response of the foundation system, in terms of loads and displacements, was monitored through loads cells, Linear Variable Differential Transformers (LVDTs) and Micro-Electro-Mechanical-Systems (MEMS). A miniaturized Cone Penetration Test (mini-CPT) was used to characterize the soil before the test execution. The experimental campaign was accomplished in 10 working days (including, among the others, model preparation, execution, data acquisition and dismantle).  The results of the experiments will serve as benchmarks for the development of a non-linear macroelement for piled foundation. Adopting this innovative approach allows the strengthening of CI resilience by adapting the traditional design and maintenance to properly consider changing loading conditions in a simple yet reliable manner.  Researchers and practitioners will be the beneficiaries of the outcome of this research, expecting the following advantages:  - Innovation in design, with the possibility to properly consider cyclic loading; - Improvement in identifying possible failure mechanisms and the required maintenance to enhance reliability and resilience of existing CI.

Reanalysis and future climate projections of the physical state of the Gulf of Riga 1993-2100

Data sets There are two data sets: (1) reanalysis (1993-2021) and (2) future projection (2015-2100). Future projection data set is split into 10 files. The dataset provides gridded monthly mean values of physical parameters in the Gulf of Riga, Baltic Sea. The variables of the dataset of the physical state of the Gulf of Riga are as follows (Long name: acronym, units) <ul> <li>Potential temperature: thetao, °C</li> <li>Sea water salinity: s, g/kg</li> <li>Eastward sea water velocity: ocu, m/s</li> <li>Northward sea water velocity: ocv, m/s</li> <li>Deviation of sea-level from the mean sea level: zos, m</li> <li>Sea ice area fraction siconc, m2/ m2</li> <li>Sea ice thickness: sithick, m</li> <li>Bathymetry: bathymetry, m (included only in reanalysis data set)</li> </ul> The grid size of the dataset is 15 (depth) x 203 (latitude) x 187 (longitude). The horizontal grid spacing is 0.5 nm; the vertical grid has 15 depth layers – 2 m deep surface layer and 4 m step for deeper layers. The time resolution of the dataset is monthly – the monthly mean value is provided in the 1st day of the month in time dimension. The original climatic calculations are based on the University of Latvia (UL) set-up of the Hiromb-BOOS model routinely implemented for the operational oceanography in the Baltic Sea and the Gulf of Riga in Latvia. Its parametrization is empirically suited for climatical reanalysis in the Gulf of Riga domain. The original output of the model run is hourly data series. Reanalysis Time period: 1993-2021 (29 years). The main characteristics of the input data and approach for the reanalysis run are as follows: <ul> <li>EMODNET2020 bathymetry.</li> <li>Initial conditions – bias corrected Copernicus Marine Service (CMS).</li> <li>Atmospheric forcing – ERA5 meteorology with improved cloudiness.</li> <li>Boundary conditions from CMS 1993-2018 reanalysis and CMS operational archive (2019-2021) with bias correction for waterlevel in CMS forecast.</li> <li>River inflow – 15 main rivers taken into consideration according to E-HYPE hydrological model data. E-HYPE discharge multiplied by 0.75.</li> <li>Tides: astronomic calculations.</li> </ul> Future climate projection Time period: 2015-2100 (86 yrs). The main characteristics of the input data and approach for the future climate projections run are as follows: <ul> <li>Emodnet2020 bathymetry.</li> <li>Initial conditions – bias corrected Copernicus Marine Service (CMS).</li> <li>Boundary conditions from downscaled CMIP6 climate projection model NorESM2-MM_ssp585_r1i1p1f1 (search string – project:'CMIP6', source_id:'NorESM2-MM', experiment_id:'ssp585', variant_label:'r1i1p1f1').</li> <li>River inflow – 15 main rivers taken into consideration according to E-HYPE climatological model (SMHI_RCA4_HadGEM2-ES_rcp45). E-HYPE discharge multiplied by 1.093.</li> <li>The past period data was used for the downscaling: <ul> <li>ERA5 reanalysis data was used for the downscaling of the atmospheric forcing time series of CMIP6 climate projection model,</li> <li>CMS reanalysis model data was used for the downscaling  of the sea state time series.</li> </ul> </li> <li>Downscaled variables: eastward and northward components of the near surface wind, air temperature, air pressure, water temperature, water salinity, sea level.</li> </ul>

CULTIVATE Project Presentation Video

A short video explaining the Horizon Europe Innovation Action, CULTIVATE, and how it supports innovative and resilient food-sharing initiatives in urban and peri-urban areas across Europe. Visit the project website to learn more: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbGJMbzZ0czBRWlNjNWw1WVU3ay1Xd2h4VTlzZ3xBQ3Jtc0tuQjRtMEM1LU96c2FEcDcxLWVKTjFsRXVzMGZ1cWZIRjBSNXhtZ1QtcGkyQk1TWFo2MUJOekExQ0UxaGlsOHV6NDdsYXdLeTZ4X2hZa19OV3NHWURaVG9keVY5SFNkcXM3MFRjRG92NzJMd1RTWURnUQ&q=https%3A%2F%2Fcultivate-project.eu%2F&v=rTogV9sPhJs">https://cultivate-project.eu/</a> Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or REA. Neither the European Union nor the granting authority can be held responsible for them.

Borehole logs of the projects STIMTEC and STIMTEC-X

Logs available for each borehole in the Research mine Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X. Logging operations were carried out by LIAG (Hannover, Germany). The types of data available include optical televiewer (OTV) and acoustic televiewer (BHTV) logs, as well as sonic and caliper logs.

Dilatometer measurements from the projects STIMTEC and STIMTEC-X

Dilatometer measurements from various of the boreholes in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X

Simplified boundaries of forest projects participating in California's forest carbon offset program

A simplified version of active (including previously active) and listed forest carbon offset projects operating under California's forest carbon offset program. See archive's README for additional details.

opencc-zeroAug 2023View details →

dryad40/100

Projecting community trophic structures for the last 120,000 years

Studying past community dynamics can provide valuable insights for anticipating future changes in the world's biota. However, the existing fossil record is too sparse to enable continuous temporal reconstructions of wholesale community dynamics. In this study, we utilise machine learning to reconstruct Late Quaternary community structure, leveraging the climate-trophic structure relationship. We followed a four-stage approach: 1) identify and map trophic structure units (TSUs) at the global scale based on the guild richness and composition of extinct and extant terrestrial mammal species weighing over 3 kg; 2) train a random forest model to predict TSUs based on contemporary climatic conditions; 3) hindcast the global distribution of TSUs using climatic conditions as reconstructed over the past 120,000 years; and 4) compare TSU hindcasts against elements of community trophic structure as estimated with the fossil record. Models project significant shifts in the geographical distribution of community trophic structures, with more pronounced changes occurring during the Pleistocene-Holocene transition. These shifts exhibit regional variations, particularly in Eurasia and North America, where the models project notable reductions in the distribution of less complex trophic structures over the last 24,000 years. Hindcasts partially identified the alterations in community structure seen in the fossil record, demonstrating a match between the observed and predicted times of change in mammal community structure (between 24 and 8ka BP). However, climate-driven projections of trophic guilds diverged from fossil records during the Holocene. While the fossil record indicated a decrease in the number of grazers and carnivores, our models projected an increase in these numbers. Characterising community-wide responses to climatic changes is essential to address key questions about past and future impacts of such changes. Although further research is needed to refine the models, our approach offers a perspective for addressing the complex interactions among climate and trophic community organisation across ecosystems.

Survey Data on Biomass Communities (Greece, Spain, Poland, Italy) – BECoop project

Activity Description: In this initiative, a translated survey was disseminated through social media and e-mails with the goal of garnering 100 responses per country from a diverse range of stakeholders and the general public. Purpose of the Surveys: A comprehensive questionnaire was developed with the primary aim of identifying the perceptions, needs, barriers, and misconceptions affecting the market adoption of community bioenergy at pilots' levels (Greece, Spain, Poland, Italy). The survey sought to gain a nuanced understanding of stakeholders' and the general public's perspectives, ultimately contributing to informed decision-making and policy formulation in this vital domain.   The questionnaire (already used in an EU level study) underwent translation into the languages pertinent to the pilot regions: Greek, Italian, Polish, Spanish, and Basque. This multi-lingual approach was pivotal in ensuring effective communication with the target audiences. The translated survey was subsequently implemented online through a GDPR-compliant EU survey platform.   The dissemination of the survey was spearheaded by the pilot teams, engaging both the general public and stakeholders from the respective regions. The objective was to secure 100 responses per pilot case. The survey promotion phase was carried out from April to June 2021, utilizing the BECoop project's extensive networks, social media accounts, websites, and communication channels.   This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.

Synthesis of National projects on Aviation noise gathered by ANIMA National Focal Points

This bundle gathers synthetic informations on more than hundred projects led at national level in EU countries and their neighbourhood (Switzeland, Ukraine, Serbia...) on aviation noise. This projects are partaking to the EU efforts to update the European Research Roadmap on such aviation noise issues. The bundle has been used for elaboration deliverable ANIMA D6.10 - National Focal Points projects

Raw, processed and merged Data for Swiss Cat+ East A1 project related to the automated and high-throughput Bayesian Optimization of CO2 hydrogenation heterogeneous catalysts

All files generated during the fully digitalized automated and high-throughput experimentally-guided Bayesian Optimization project, which led to the synthesis of 144 heterogeneous catalysts with a Chemspeed unit (6 generations of 24) and their testing under CO2 hydrogenation conditions with Avantium fixed bed units. Below are some indication to understand the naming of the files. <ul> <li>A1 stands for the internal project number.</li> <li>G1 to G5 stands for the catalyst generation number and G2NC for the alternative second generation suggested by the Bayesian Optimizer without considering the cost of catalyst as an objective (No_Cost).</li> <li>Three fixed bed units have been used, named XDB4x (a 4 parallel reactors unit), XDC4x (another 4 parallel reactors unit) and XR16x (a 16 parallel reactors unit).</li> <li>Individual fixed bed testing raw files (FB_RawData) generated by each unit are then processed to extract the mean  and standard deviation (std) values (e.g conversion, selectivity) and to compute reactions rates.</li> <li>Then the processed files for each individual reactor (XDB, XDC, XR) are combined into one file (All_FBData), and finally aggregated with the synthesis details, viathe catalyst barcodes (AllData_Processed).</li> <li>Finally, the processed file for each generation are merged together (AllGen_Merged) and a condensed file is generated for a given reaction temperature (AllGen_275CDataProcessed_Merged)</li> </ul>

NPJ Climate Action AR6 scenarios database submission histograms by model family and project

Based on submissions to the IPCC AR6 Scenarios Database, this datasets uses the metadata to construct histograms of the submitted scenarios by model family and project, noting the total submissions, vetted scenarios, and climate assessed scenarios. A total of 2304 scenarios were submitted to the global emissions database, of these, 618 did not passing vetting for sufficiently consistency with historical energy and emissions data, and a further 484 did not have sufficient data to perform a climate assessment, leaving a total of 1202 used in the primary assessment of scenarios.  The database based on the scenario metadata. The ‘model family’ was determined by removing version numbers from the full model name. The ‘project family’ was obtained using the ‘Scenario family’ variable in metadata, supplemented by manually checking against cited literature. The classification of vetted scenarios was based on the variable ‘Historical vetting’ and the climate assessment on the ‘Climate Category’. This version is based on version 1.0 of the AR6 scenarios database.

Analysis of Effective Stiffness and Anisotropy of AC 16 Asphalt Mixture within NCN project Weave-UNISONO 2021, project No 2021/03/Y/ST8/00079

Summary: The internal structure of the AC 16 (asphalt concrete mixture) was divided into the mortar phase and the mineral aggregate phase. Static creep tests using the Bending Beam Rheometer were conducted for the mortar phase to fit the rheological model. The aggregate arrangement and orientation were analysed using ImageJ software for the mineral phase. The Finite Element Method (FEM using ABACUS software) meshes were prepared based on images with an assumption of plane strain in 2D formulation. Using the FEM model, the tension/compression tests using selected characteristic directions were conducted, and the effective constrained stiffness moduli were estimated. The dataset includes: <ul> <li>TIFF input and output image of AC16 lateral surface, txt output results file <ul> <li>xz_AC_16 lateral surface_areas colour.tiff</li> <li>xz_AC_16 lateral surface.tiff</li> <li>xz_AC_16 lateral surface ImageJ - results.txt</li> </ul> </li> <li>grey TIFF image for plot profile <ul> <li>grey image for plot profile.tif</li> </ul> </li> <li>BBR test results, CSV raw data <ul> <li>sample 1 mortar.csv</li> <li>sample 2 mortar.csv</li> </ul> </li> <li>Input images: scan in xy plane and scan in xz plane <ul> <li>xy_AC_16 mel-dol.tif</li> <li>xy_AC_16.tif</li> <li>xy_AC_16 ImageJ - results.txt</li> <li>xz_AC_16 mel_dol.tif</li> <li>xz_AC_16.tif</li> <li>xz_AC_16 ImageJ - results.txt</li> </ul> </li> <li>Abaqus Input Files – horizontal and vertical tension <ul> <li>xy_AC_16_horizontal_tension.txt</li> <li>xy_AC_16_vertical_tension.txt</li> <li>xz_yz_AC_16_horizontal_tension.txt</li> <li>xz_yz_AC_16_vertical_tension.txt</li> </ul> </li> </ul>

XXIst century projections of global forest soil and canopy air temperature offsets (CLM5.1, SSP5-8.5)

The following dataset allows to reproduce the figures in <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024 </a>. It is generated by CLM5.1 simulations following the SSP5-8.5 scenario and contains the temperature offset between forest and grassland for soil temperature Tg  and canopy air temperature Tc. The offset temperatures (∆Tg and ∆Tc) are defined as the difference between the internal temperature of the forest tile minus the internal temperature of the grassland tile. For each grid cell, we compute the difference between the area-weighted average temperature in forests, and the area-weighted average temperature over grassland. We define the offset for minimum ∆Tg,min, maximum ∆Tg,max and mean ∆Tg,mean soil temperature. ∆Tg,min (respectively, ∆Tg,mean and ∆Tg,max) is derived by selecting the monthly minimum (respectively, mean and maximum) of the 6-hourly forest ∆Tg and subtracting the simultaneous Tg over grassland within a grid cell. We consider all grid cells that contain both more than 0% of tree PFT cover (forest) and more than 0% of grass PFT cover (grassland). Tc offsets (∆Tc,min,∆Tc,max and ∆Tc,mean) are generated using the same method although we note that unlike for ∆Tg, the differentiation between forest and grassland Tc also encapsulates a difference in height. Here, we provide monthly data for minimum, maximum and mean soil and canopy air temperature for 3 forest PFT-based biomes (boreal, temperate and tropical) and for all forest PFTs (global). For more information, refer to the Methods is <a href="https://iopscience.iop.org/article/10.1088/1748-9326/ad1f04/pdf">Hes et al 2024</a>

Replication Package for "Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study"

This dataset contains scripts and data used to generate relevant results for this paper. Detailed information are described in README.md.  code This folder contains all the scripts used for the experiment. The upgrade.py and downgrade.py are used to perform upgrade and downgrade runs. The pairing.py is used to generate the DFVC pairs. The main.py is used to identify root causes of DFVC pairs. result This folder contains all the results of the experiments, including the runtime output (e.g., a_1.0.0.txt), the runtime environment (e.g., condalist_1.0.0.txt), and the project's runtime commands (e.g., pytorch-cifar.xlsx) of all tested 90 PyTorch and 50 TensorFlow projects. Distribution of dfvc pairs.xlsx This file includes 6,926 DFVC pairs and their root causes. Tested framework versions.xlsx This file includes the framework versions tested and the Python versions that the framework versions are compatible with. Tested projects.xlsx This file includes the tested 90 PyTorch projects and 50 TensorFlow projects. We provide the following main information: (a) project name, (b) stars, (c) link, (d) the starting version, (e) python version, (f) incompatible upgrade/downgrade version, and (g) compatible versions.

Digitalisation for Sustainability in the Civil Service of Brazil I PRODIGEES I EU funded project

Originally published on YouTube: https://www.youtube.com/watch?v=LvHgSfq4Mgs PRODIGEES is a transnational knowledge cooperation network, aimed at creating a deeper and more comprehensive understanding of the impact of digitalisation across the social, economic and environmental dimension of sustainable development and its governance. Funded by the EU’s Horizon2020 programme, it analyses conditions under which positive effects of digitalisation can be realised, while at the same time [mitigating] potential negative effects. The project (2020-2025) engages in staff exchange, transnational training and multi-stakeholder dialogue, and establishes a long-term platform of research institutions in the EU and from the MGG network in Brazil, India, Indonesia, Mexico and South Africa. For information on news, events, publications and the consortium, please visit www.prodigees.info.

GEOLAB - Transnational Access project LIWEMAT – Deformation characterisation of LIghtWEight foundation MATerials

Proper use of lightweight materials as construction material for various types of infrastructure brings a lot of advantages to European critical infrastructure related to weight reduction and prevention of progressive heating or freezing of its structural elements. Large-scale Triaxial Apparatus was used to perform the loading tests, which enables the characterization of materials at very small strain ranges with a very high accuracy level of load-displacement control. The apparatus has rigid confining aluminum frames with a height of 3 cm and cross-section of 40 x 40 cm, enabling prismatic specimens with a height of up to 80 cm to be tested. This research aims to determine the characteristics of expanded clay and foamed glass aggregates through laboratory testing, performing cyclic loading for the stiffness and damping evaluation, which would be beneficial parameters for numerical simulations. Testing material The foam glass aggregate has a homogeneous microstructure with approximate uniform shape and sizes. Foam glass aggregate is considered one of the best solid isolation materials with several unique properties. It can be widely used in many applications such as basement walls, foundations, floors and roofs, terrace and garden covers, rooftops, and parking areas. The expanded clay aggregate is round shape with different sizes with small, air-filled cavities, with dark brown, reddish, brown-red or gray colors, which depends on the chemical composition of the expanded clay. The lightweight expanded clay aggregate has bulk density from 250 kg/m3 to 710 kg/m3, mostly dependent on the size of the aggregate.