Find research datasets worth reusing

openmit-licenseSep 2019View details →

Solution #4 for Predicting Molecular Properties Kaggle Competition

Code and additional data for solution #4 in <a href="https://www.kaggle.com/c/champs-scalar-coupling/overview">Predicting Molecular Properties</a> competition, described in <a href="https://www.kaggle.com/c/champs-scalar-coupling/discussion/106534#latest-613848">#4 Solution [Hyperspatial Engineers]</a>.

opencc-by-4.0Sep 2019View details →

Data for "How to use scale invariant properties of imperviousness in urban areas to handle missing data ?"

The data set corresponds the data presented in the data paper : “How to use scale invariant properties of imperviousness in urban areas to handle missing data ?“ which has been submitted to Water Resources Research ” (https://agupubs.onlinelibrary.wiley.com/journal/19447973). It corresponds to : - the rainfall data collected on 2019-06-02 with 5 min and 30 s time steps by a disdrometer installed on the roof of Ecole des Ponts ParisTech building. - land use distribution for the Jouy-en-Josas catchment (1 = forest, 2= road, 3=Grass, 4=building, 5=Gully, 6=missing data), with pixel size of 10 m and 2 m. More details can be found in the file and in the paper.

opencc-byOct 2019View details →

Ground state properties of quantum dots provided by VMC and RBM

Raw slurm output files from the computer cluster Abel for the simulations of quantum dots using variational Monte Carlo (VMC) and restricted Boltzmann machines (RBM). The files contain the energy expectation value, energy distribution, acceptance ratio, and statistical error for every iteration in all the performed simulations. For the final iteration, the blocking method is used to achieve an accurate error estimation.

opencc-by-4.0Oct 2019View details →

Comparison of Dielectric Properties and Structure of Lunar Regolith at Chang'e-3 and Chang'e-4 Landing Sites Revealed by Ground Penetrating Radar

Fig 2(d) dataset.  Signal Power profile and after R2, R3, R4 backscatter/spreading correction. The first column is depth in meter, second column is original data, third, forth, fifth column is original data after R2, R3, R4 correction,respectively. Fig 3(b) dataset. The first five days of Lunar penetrating radar (LPR) of CE-4 site with Auto Gain Control (AGC) method. Each column represents a single sample of data. Fig 3(c) dataset. LPR dataset of CE-4 site using an exponential equation gain function for amplitude compensation. Each column represents a single sample of data.

opencc-by-4.0Oct 2019View details →

Data set related to the manuscript "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors"

Graphical files in the agr format for all the figures in the main text of the manuscript entitled "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors" (<a href="https://doi.org/10.1016/j.electacta.2019.135022">10.1016/j.electacta.2019.135022</a>).

opencc-by-4.0Oct 2019View details →

"Haptic aesthetics and bodily properties of Ori Gersht's digital art: a behavioral and eye-tracking study." - datasets and script

"Haptic aesthetics and bodily properties of Ori Gersht’s digital art: a behavioral and eye-tracking study." Datasets and R script for analyses of behavioural scores and visual parameter.

C-isotopic signatures and soil properties of Amazon basin oxisols

This dataset presents C isotopic data from two sites (Apuí and Manacapuru) located in the state of Amazonas, Brazil. Soils were sampled at three time periods, under weak raining (March-2016), extreme dry (August-2016), and strong wet (March-2017) conditions. The dataset first presents general information about the site (on the tab "site"), followed by more detailed information (on the tab "profile") about both sampling locations. The coordinates, altitude, mean annual temperature, mean annual precipitation, soil order in USDA taxonomy and their respective land use categories and vegetation classifications are described.  On the 'layer' tab, information about the soil depth, percent sand, silt and clay, pH CaCl2 and H2O, Organic and Total Carbon, total nitrogen and carbon/nitrogen ratio are described. The bulk C-isotopic signature is also listed on this tab as the Bulk Layer Δ14C and its standard deviation, Bulk Layer Fraction Modern and its standard deviation.  The "Incubation" tab describes details of the soil incubations conducted at Apuí and Manacapuru. Information about the material and length of incubation, as well as the CO2 fluxes over the duration of incubation are reported. The respired C-isotopic signature during the incubation is also given on this tab as the incubation Δ14C and its standard deviation, incubation Fraction Modern and its standard deviation.

Upscaling of elastic properties in carbonates: a modeling approach based on a multi-scale geophysical dataset

Dataset for the article "Upscaling of elastic properties in carbonates: a modeling approach based on a multi-scale geophysical dataset" by Bailly C., Fortin J., Adelinet M., Hamon Y. submitted to Journal of Geophysical Research: Solid Earth. Please refer to the ReadMe file for more details.

Supplementary data for the manuscript "Thermodynamic properties of isoprene and monoterpene derived organosulfates estimated with COSMOtherm"

.cosmo and .energy files of various isoprene and monoterpene derived organosulfates and methyl bisulfate (neutral and deprotonated), IEPOX (neutral) and hydrated sodium (cation).

Soil properties and crop yield in fruit orchards under Mediterranean conditions in terms of intercropping, tillage and fertilizer type

This data set contains a data-mining performed to assess the impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions by a further meta-analysis of the data.  These data correspond to the open-access article "The impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions: A meta-analysis of field studies" published in Agricultural Systems. (<a href="https://doi.org/10.1016/j.agsy.2019.102736">https://doi.org/10.1016/j.agsy.2019.102736</a>), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. Raúl Zornoza acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the “Ramón y Cajal” Program [RYC-2015-18758]..

Data and Codes for "Thermal properties of the superconductor-quantum Hall interfaces"

Datasets and processing code for reproduction of "Thermal properties of the superconductor-quantum Hall interfaces"

opencc-by-nc-4.0Sep 2021View details →

Data from: Fundamental properties of adjoint model and adjoint sensitivity under fully-nonlinear hydrostatic internal gravity waves

This folder contains data from Shimizu, K. (2024), Fundamental properties of adjoint model and adjoint sensitivity under fully-nonlinear hydrostatic internal gravity waves, Journal of Geophysical Research: Oceans, 129, e2023JC020577. https://doi.org/10.1029/2023JC020577 Its contents are briefly described in ReadMe.txt.

opencc-by-4.0Jul 2024View details →

Tensile properties of glaucomatous human sclera, optic nerve, and optic nerve sheath

Purpose. We characterized the tensile behavior of sclera, optic nerve (ON), and ON sheath in eyes from donors with glaucoma, for comparison with published data without glaucoma. Methods. Twelve freshly harvested eyes were obtained from donors with history of glaucoma, of average age 86±7 (standard deviation) years. Rectangular samples were taken from anterior, equatorial, posterior, and peripapillary sclera, and ON sheath, while ON was in native form and measured using calipers. Under physiological temperature and humidity, tissues were preconditioned at 5% strain before loading at 0.1 mm/s. Force-displacement data were converted into engineering stress-strain curves fit by reduced polynomial hyperelastic models, and analyzed by tangent moduli at 3% and 7% strain. Data were compared with an age-matched sample of 7 published control eyes. Results. Optic atrophy was supported by significant reduction in ON cross-section to 73% of normal in glaucomatous eyes. Glaucomatous was significantly stiffer than control  in equatorial and peripapillary regions (P<0.001). However, glaucomatous ON and sheath were significantly less stiff than control, particularly at low strain (P<0.001). Hyperelastic models were well fit to stress-strain data (R2>0.997). Tangent moduli had variability similar to control in most regions, but was abnormally large in peripapillary sclera. Tensile properties were varied independently among various regions of the same eyes. Conclusion. Glaucomatous sclera is abnormally stiff, but the ON and sheath are abnormally compliant. These abnormalities correspond to properties predicted by finite element analysis to transfer potentially pathologic stress to the vulnerable disc and lamina cribrosa region during adduction eye movement.

Database of the RILEM TC 304-ADC interlaboratory study on mechanical properties of 3D printed concrete (ILS-mech)

The RILEM TC 304-ADC has set up a large interlaboratory study on the mechanical properties of 3D printed concrete (ILS-mech).  The study was prepared in 2022 by a preparation group leading to a Study Plan which the TC approved on 29 November 2022 (<a href="https://doi.org/10.14459/2023mp1705940">https://doi.org/10.14459/2023mp1705940</a>). The ILS-mech was performed in 2023. The data was collected using a pre-prepared spreadsheet template. For data management, a database was derived and set-up in openBIS. The underlying Postgres database of openBIS was exported to the here-published SQLite database for sharing without maintaining a server. The structure of the database is described in (<a href="https://doi.org/10.1617/s11527-025-02650-9">https://doi.org/10.1617/s11527-025-02650-9</a>). The results are discussed in three associated papers focusing on the overall outcomes and evaluation of the procedures (<a href="https://doi.org/10.1617/s11527-025-02686-x">https://doi.org/10.1617/s11527-025-02686-x</a>), the compressive test results (<a href="https://doi.org/10.1617/s11527-025-02688-9">https://doi.org/10.1617/s11527-025-02688-9</a>), and the tensile test results (<a href="https://doi.org/10.1617/s11527-025-02687-w">https://doi.org/10.1617/s11527-025-02687-w</a>). contact via freek.bos@tum.de

MiniMPL data for 'Supercooled liquid water cloud classification using lidar backscatter peak properties'

This depository contains MiniMPL data collected in Christchurch, New Zealand from May 2021 to December 2022 for 'Supercooled liquid water cloud classification using lidar backscatter peak properties' by Whitehead et al. (2024). The dataset contains: <ul> <li> MiniMPL data processed with the Automatic Lidar and Ceilometer Framework (ALCF; Kuma et al., 2021)</li> <li>Reference cloud phase mask</li> <li>G22-Christchurch model-generated cloud phase mask</li> <li>Figures comparing the G22-Davis and G22-Christchurch masks to the reference mask</li> </ul>

Deliverable D2.1 - Supplementary material : Datasets on the physicochemical properties of PFAS compounds

Additional information on deliverable D2.1. Data sets for Machine Learning models on physicochemical properties of PFAS compounds for endpoints: logP (n-octanol/water), Sw (solubility in water), VP (vapor pressure), BCF (bioconcentration factor), MP (melting point) developped within the project H2020 PROMISCES.

Dataset for "Property-based Testing within ML Projects: an Empirical Study" (ICSME NIER 2024)

The dataset for the ICSME NIER 2024 paper "Property-based Testing within ML Projects: an Empirical Study". Descriptions of each column can be found in the readme.md file.

Soil Properties and Soil Macroinvertebrate Communities in Amazonian Anthropogenic Soils

<h3>About</h3> This dataset is an update of the dataset 'A “Dirty” Footprint: Soil macrofauna biodiversity and fertility in Amazonian Dark Earths and adjacent soils' previously published in Dryad repository (https://doi.org/10.5061/dryad.3tx95x6cc). This dataset now include information on soil humification index, soil carbon related to different soil minerals and soil fatty acids characterization. <h3>Description</h3> Soils were sampled in Brazilian Amazonia in the municipalities of Iranduba-AM, Belterra-PA and Porto Velho-RO. In each region, paired sites with anthropogenic dark earths (ADE) and nearby reference (REF) non-anthropogenic soils were sampled under three different land-use systems: native secondary vegetation (dense ombrophilous forest) classified as old secondary forest when >20 years old, or young regeneration forest when <20 years old, and agricultural systems (maize in Iranduba, soybean in Belterra, and introduced pasture in Porto Velho). At each site, soil and litter macrofauna were collected using the Tropical Soil Biology and Fertility (TSBF) method (Anderson and Ingram, 1993) at five sampling points (soil monoliths 25x25 cm up to 30 cm depth) within a 1 ha plot, four at the corners and one on the center of a 60 x 60 m square, resulting in an “X” shaped sampling design. Each soil monolith was divided into surface litter and three 10 cm-thick soil layers (0-10, 10-20, 20-30 cm). Macroinvertebrates (animals with >2 mm body width) were manually hand-sorted and fixed in 92% ethanol. Earthworms, ants and termites were identified to species or genus level and other macroinvertebrates were sorted into morphospecies with higher taxonomic level assignations. Density (number of individuals) and biomass of the soil macrofauna surveyed using the TSBF method were extrapolated per square meter. For the earthworms, ants and termites (ecosystem engineers) additional samples were performed, especially in forest sites to better estimate species richness of these taxa. Earthworms were collected at four additional cardinal points of the grid at all sites, and hand-sorted from holes of similar dimensions as the TSBF monoliths. Termites were sampled in the forest sites only forests (except one of the REF young forests at Porto Velho), in five 20 m2 (2 x 10 m) plots (close to the five main soil monoliths) by manually digging the soil and looking for termitaria in the soil, as well as in the litter and on trees using a modification of the transect method (Jones and Eggleton, 2000). Ants were sampled in 10 pitfall traps (300 ml plastic cups) set up as two 5-trap transects on the sides of each 1 ha plot, as well as in two traps to the side of each TSBF monolith (distant ~5 m) only in the forest systems of Iranduba and Belterra (not Porto Velho). Each cup was filled to a third of its volume with water, salt and detergent solution. Termites and ants were preserved in 80% ethanol and earthworms in 96% ethanol and the alcohol changed after cleaning the samples within 24 h. All the animals (earthworms, ants, termites) were identified to species level or morphospecies level (with genus assignations) by co-authors SWJ/MLCB (earthworms), AA (termites) and ACF/RMF (ants). Soil samples for chemical and particle size analysis were collected from each TSBF monolith after the soil fauna hand-sorting. Around 2 to 3 kg soil from each depth (0-10, 10-20, 20-30 cm) and the following soil properties were evaluated according to standard methodologies (Teixeira et al., 2017): pH (CaCl2); Ca2+, Mg2+, Al3+ (KCl 1 mol L-1); K+, P, Fe, Zn, Mn, Cu and Ni (Mehlich-1); Pseudo-total contents of trace elements (Ba, Cd, Co, Cu, Ni, Pb, Se and ZN) were determined by acid digestion (HNO3 + HCl); Fe (sulfuric extract); total nitrogen (TN) and carbon (TC) using an element analyzer (CNHS). Base saturation and cation exchange capacity (CEC) were calculated using standard formulae (Teixeira et al., 2017) and particle size fractions (% sand, silt, clay) were obtained following standard methodologies (Teixeira et al., 2017). Soil magnetic susceptibility (MS) and apparent electrical conductivity (ECa) (Siemens per meter – S m-1) were obtained using a KT-10 S/C magnetic susceptibility/conductivity meter (Terraplus) with 10 Hz of operating frequency. Soil macromorphology samples were taken close to the TSBF monolith (~2 m) using a 10 x 10 x 10 cm metal frame. The collected material was separated into different fractions including: living invertebrates, litter, roots, pebbles, pottery sherds, charcoal (biochar), non-aggregated/loose soil (NA), physical aggregates (PA), root-associated aggregates (RA), and fauna-produced aggregates (FA) using the methodology proposed by Velasquez et al. (2007). Laser-induced fluorescence spectroscopy analysis (LIFS) was performed on soil macroaggregate fraction (FA, PA, RA and NAS) from both YF and the pasture from Porto Velho to obtain the humification index of soil organic matter according to Milori et al. (2006). Were analysed fatty acids in soil macroaggregates (PA, RA and FA) from one site in Teotônio. The process involved extracting 2 g of each sample with a chloroform: methanol solution and a surrogate compound, 5α-cholestane. The extract was centrifuged, combined, and the solvent removed using a rotary evaporator and nitrogen. Extracts were stored at -20°C until analyzed by GC-MS. Samples were silylated, with excess silylating agent removed, followed by the addition of hexane and vortexing for GC-Q-MS analysis. The equipment used included an Agilent Technologies GC (7890B) and MS (5977A), with an autosampler and HP-5ms column. MassHunter and MSD ChemStation software facilitated analysis and quantification, respectively. Deconvolution and retention index calculations were performed using AMDIS software. Compounds were identified using NIST MS software, requiring at least three specific mass fragments per compound and a retention index deviation of less than 1.5%. Analyte intensities were normalized by dried soil sample weights and the internal standard. Soil samples from TSBF monoliths were fractionated by dry sieving into small (<500 µm) and large (>500 µm) aggregate size classes. These were further fractionated into sand-particulate organic matter (sand-MOP) (>53 µm), silt-organic matter associated with minerals (MOM) (53-2 µm), and clay-MOM (<2 µm). Total organic carbon and nitrogen in these fractions were measured using a Vario EL III elemental analyzer. Clay-MOM samples underwent a four-step sequential extraction with hydroxylamine, sodium dithionite, sodium pyrophosphate, and sodium hydroxide to determine carbon, silicon, iron, and aluminum contents associated with different soil components. For further details see Ramalho (2020). Soil bulk density and total porosity were determined using undisturbed core samples (0.05 m diameter, 0.05 m depth) collected at ~2 m from the TSBF samples following the method proposed by Teixeira et al. (2017). All data is provided in excel format, and includes 14 tabs in the data file: Metadata and legend, Site description, Soil chem, BD+POR, Macromorph, Seq_ext, Biomark, HLIF, Macro_den, Macro_bio, Morpho_TSBF, Add_worm, Add_ants, Add_termites. The Metadata and legend tab provides a detailed explanation for each variable included in each table, including the units used for each. The Site description tab include a brief description of the sites sampled. Soil chem, BD+POR, Macromorph, Seq_ext, Biomark and HLIF tables contain the data on soil chemical, physical, macromorphological, organic matter related to soil minerals, fatty acids and humidification index variables, respectively. The Macro_den and Macro_bio contain the data about density and biomass on all the soil invertebrate taxa found, respectively. The Morphosp_TSBF, Add_worm, Add_ants and Add_termites tables contain the invertebrate species/morphospecies occurrence in TBSF and extra samples for earthworms, ants and termites, respectively. <h3>References used in methods section</h3> Anderson, J.M., Ingram, J.S.I., 1993. Tropical Soil Biology and Fertility: A handbook of methods, 2 edition. ed. Oxford University Press, Oxford. https://doi.org/10.2307/2261129 Jones, D.T., Eggleton, P., 2000. Sampling termite assemblages in tropical forests: testing a rapid biodiversity assessment protocol. Journal of Animal Ecology 37, 191–203. https://doi.org/10.1046/j.1365-2664.2000.00464.x Milori, D.M.B.P., Galeti, H.V.A., Martin-Neto, L., Dieckow, J., González-Pérez, M., Bayer, C., Salton, J., 2006. Organic Matter Study of Whole Soil Samples Using Laser-Induced Fluorescence Spectroscopy. Soil Science Society of America Journal. 70, 57. https://doi.org/10.2136/sssaj2004.0270 Teixeira, P.C., Donagemma, G.K., Fontana, A., Teixeira, W.G., 2017. Manual de métodos de análise de solo, 3o. ed. Embrapa, Brasília. Ramalho. B., 2020. Caracterização das interações organo-mineral em Terra Preta de Índio. Thesis. Universidade Federal do Paraná. 113p. Velasquez, E., Pelosi, C., Brunet, D., Grimaldi, M., Martins, M., Rendeiro, A.C., Barrios, E., Lavelle, P., 2007. This ped is my ped: Visual separation and near infrared spectra allow determination of the origins of soil macroaggregates. Pedobiologia 51, 75–87. https://doi.org/10.1016/j.pedobi.2007.01.002 <h3>Funding</h3> The study was supported by the Newton Fund and Fundação Araucária (grant Nos. 45166.460.32093.02022015, NE/N000323/1), Natural Environment Research Council (NERC) UK (grant No. NE/M017656/1), a European Union Horizon 2020 Marie-Curie fellowship to LC (MSCA-IF-2014-GF-660378) and another to DWGS (No. 796877), by CAPES scholarships to WCD, ACC, TF, RFS, AF, LM, HSN, TS, AM and RSM (PVE A115/2013), Araucaria Foundation scholarships to LB, AS, ACC and ES, Post-doctoral fellowships to DWGS (NERC grant NE/M017656/1) and ES (CNPq No. 150748/2014-0), PEER (Partnerships for Enhanced Engagement in Research Science Program) NAS/USAID award number AID-OAA-A-11-0001 - project 3-188 to RMF, and by CNPq grants, scholarships and fellowships to ACF, GGB, RF, SWJ, EGN and PL (Nos. <a>140260/2016-1</a>, 307486/2013-3, 302462/2016-3, <a>401824/2013-6</a>, 307179/2013-3, 400533/2014-6). We thank INPA, UFOPA, Embrapa Rondônia, Embrapa Amazônia Ocidental and Embrapa Amazônia Oriental and their staff for logistical support, and the farmers for access to and permission to sample on their properties. Sampling permit for Tapajós National Forest was granted by ICMBio.

opencc-by-4.0Nov 2023View details →

Measured properties in soil samples and marine sediment collected in Galion Bay (Martinique, France) in order to trace erosion sources in insular tropical catchments

This dataset was compiled in order to select the optimal suite of tracers and identify and quantify the main sources of sediment deposited in Galion Bay and associated chlordecone transfers since the 1960s. It includes measured properties for potential sources collected across the Galion catchment (Martinique, France) and along a sediment core sampled in Galion Bay (GAL17-04, N°IGSN TOAE0000000573). Associated with this dataset, metadata are integrated for sources and targets registered using International Geological Sample Numbers (IGSN).