Find research datasets worth reusing

Data set of Jodels corona channel from 2020-03-03 to 2021-02-13

This dataset contains all postings of the social media app Jodel that were published in the app's Corona channel in the German cities of Munich, Bonn, Rostock and Dresden within the period of March 3, 2020 to February 13, 2021. By examining the Corona channel, a relation of the postings to the topic of COVID-19 is given. For each posting, the following additional information is available in the data set: Post ID, publication time, channel, city, country, hashtags, downvotes, upvotes, replies, and shares. Jodel was released in Germany in 2014. The app allows users to publish anonymous postings that are displayed to users within a radius of about 10 km. The postings can be short messages, photos or videos. Users have the option to upvote or downvote postings published in the feed, comment on them, or share them outside the app.

Data set for "Perceived phubbing, life satisfaction, and psychological distress: The mediating role of loneliness"

Data set for Perceived phubbing, life satisfaction, and psychological distress: The mediating role of loneliness (initial sample)

opencc-by-3.0-usDec 2022View details →

Data set open access of Palm Oil Supply Chain

This data set including interview recorded as the qualitative data, picture, draft article, and interview transcript. This is open access data.

Data Set behind the paper

This is the data set behind the article titled "A Pilot Study of Nulling in 22 Pulsars Using Mixture Modeling" by Anumarlapudi et al., 2023. The code used in the analysis is available at  <pre>10.5281/zenodo.7627522</pre> The file structure for the data set is simple and as follows: When uncompressed the top-level directory has individual directories for all the pulsars in this study. Each pulsar directoy has 3 files: 1.  {pulsar}_singlepulses.txt (ascii.ecsv): Contains the phase-resolved single pulse data (see article for the description) 2.  {pulsar}_on_off_hist.txt (ascii): Contains the histograms of the ON and OFF window intensities (see article for the description) 3.  {pulsar}_mcmc_chain.txt (ascii.ecsv): The MCMC chain values for the best-fit model (see article for the description)

opencc-by-4.0Jan 2023View details →

Quantum chemistry reference data set for random hydrogen clusters

This data set contains high-level quantum chemistry data (CCSD(T)/def2-QZVPP) for a set of 120,000 randomly-generated hydrogen clusters, along with data from other levels of theory (HF, MP2, CCSD), including 3 density functionals (PBE, B3LYP, omegaB97M-V) and 4 semiempirical models (AM1, PM7, GFN1, & GFN2). This entry also includes the workflow scripts used to generate the data and the post-processing scripts used to analyze and visualize it. By the standards of quantum chemistry data sets, this is a large and challenging test for electronic structure methods and models. These structures tend to have open-shell ground states that can be difficult to find.

Predicted and reported column densities for the data set used in the characterization of the Orion Kleinmann-Low nebula

This dataset contains 172 molecular entries in the chemical inventory of the Orion Kleinmann-Low (Orion KL) used in as the data set used in the work that is currently under review: Scolati et al., "Explaining the Chemical Inventory of Orion KL through Machine Learning", (2023). The dataset was compiled using Herschel spectral line survey as well as ground observations using the IRAM 30 m telescope. The resulting list of molecules were used in the XCLASS fitting program described in <a href="https://iopscience.iop.org/article/10.1088/0004-637X/787/2/112">Crockett et al. (2014)</a>. The full dataset contains 64 unique molecules, including 18 isotoplogues, 9 deuterated, 8 vibrationally excited, and 9 molecules with multiple velocity components. The dataset is structured to provide each molecular entry with their corresponding SMILES string based representation, the beam size, rotational temperature, radial velocity, line width, as well as numerical codes to indicate physical environment within the source (i.e. hot core, compact ridge, etc.), and if the species is vibrationally excited or an isotopologue. The derived column densities reported in <a href="https://iopscience.iop.org/article/10.1088/0004-637X/787/2/112">Crockett et al. (2014) </a>are provided along with our machine learning model predictions (using the Gradient Boosting Regressor). Finally, a training vs testing tag was added to indicate which entries were split into the training and testing sets.

Data set for graphene/GO polymer molecular dynamics simulation

Lammps input files and log files for molecular dynamics simulations of graphene and graphene-oxide nano ribbons for paper "Molecular dynamics reveals the origin of the enhancement of polymer properties by graphene". Log files include stress-strain behaviour during uniaxial strain.

opencc-zeroMar 2023View details →

dryad32/100

Data set from: Phylogenetic structure of alien plant species pools from European donor habitats

Aim. Many plant species native to Europe have naturalized worldwide. We tested whether the phylogenetic structure of the species pools of European habitats is related to the proportion of species from each habitat that have naturalized outside Europe (habitat's donor role) and whether the donated species are more phylogenetically related to each other than expected by chance. Location. Europe (native range), the rest of the World (invaded range). Time period. Last c. 100 years. Major taxa studied. Angiospermae. Methods. We selected 33 habitats in Europe and analyzed their species pools, including 9,636 plant species, of which 2,293 have naturalized outside Europe. We assessed the phylogenetic structure of each habitat as the difference between the observed and expected mean pairwise phylogenetic distance (MPD) for (a) the whole species pool and (b) subgroups of species that have naturalized outside Europe and those that have not. We used generalized linear models to test for the effects of the phylogenetic structure and the level of human influence on the habitats' donor role. Results. Habitats strongly to moderately influenced by humans often showed phylogenetically clustered species pools. Within the clustered species pools, those species that have naturalized outside Europe showed a random phylogenetic structure. Species pools of less human-influenced natural habitats varied from phylogenetically clustered to overdispersed, with donated naturalized species also often showing random patterns within the species pools. Donor roles in both habitat groups increased with increasing MPD within habitats. Main conclusions. European human-influenced habitats donate closely related species that often naturalize in disturbed habitats outside their native range. Natural habitats donate species from different lineages with various ecological strategies that allow them to succeed in different habitats in the invaded range. However, in most cases, the naturalized species donated are phylogenetically random subsets of the donor habitats' species pools. Aim. Many plant species native to Europe have naturalized worldwide. We tested whether the phylogenetic structure of the species pools of European habitats is related to the proportion of species from each habitat that have naturalized outside Europe (habitat's donor role) and whether the donated species are more phylogenetically related to each other than expected by chance. Location. Europe (native range), the rest of the World (invaded range). Time period. Last c. 100 years. Major taxa studied. Angiospermae. Methods. We selected 33 habitats in Europe and analyzed their species pools, including 9,636 plant species, of which 2,293 have naturalized outside Europe. We assessed the phylogenetic structure of each habitat as the difference between the observed and expected mean pairwise phylogenetic distance (MPD) for (a) the whole species pool and (b) subgroups of species that have naturalized outside Europe and those that have not. We used generalized linear models to test for the effects of the phylogenetic structure and the level of human influence on the habitats' donor role. Results. Habitats strongly to moderately influenced by humans often showed phylogenetically clustered species pools. Within the clustered species pools, those species that have naturalized outside Europe showed a random phylogenetic structure. Species pools of less human-influenced natural habitats varied from phylogenetically clustered to overdispersed, with donated naturalized species also often showing random patterns within the species pools. Donor roles in both habitat groups increased with increasing MPD within habitats. Main conclusions. European human-influenced habitats donate closely related species that often naturalize in disturbed habitats outside their native range. Natural habitats donate species from different lineages with various ecological strategies that allow them to succeed in different habitats in the invaded range. However, in most cases, the naturalized species donated are phylogenetically random subsets of the donor habitats' species pools.

dryad32/100

A global data set of realized treelines sampled from Google Earth aerial images

<div> We sampled Google Earth aerial images to get a representative and globally distributed dataset of treeline locations. Google Earth images are available to everyone, but may not be automatically downloaded and processed according to Google's license terms. Since we only wanted to detect tree individuals, we evaluated the aerial images manually by hand. </div> <div> </div> <div> Doing so, we scaled Google Earth's GUI interface to a buffer size of approximately 6000 m from a perspective of 100 m (+/- 20 m) above Earth's surface. Within this buffer zone, we took coordinates and elevation of the highest realized treeline locations. In some remote areas of Russia and Canada, individual trees were not identifiable due to insufficient image resolution. If this was the case, no treeline was sampled, unless we detected another visible treeline within the 6,000 m buffer and took this next highest treeline. We did not apply an automated image processing approach. We calculated mass elevation effect as the distance to the nearest mountain chain limits. Continentality was assessed by the distance to the nearest coastline. Isolation was calculated by the nearest distance of a mountain chain to another mountain chain within a comparable elevational band. </div>

opencc-zeroMar 2023View details →

Data set of ""Reconciling high-resolution strain rate of continental China from GNSS data with the spherical spline interpolation""

Date data of ”Reconciling high-resolution strain rate of continental China from GNSS data with the spherical spline interpolation“ "readme.txt" is the description of those zips. And Each zip also contains a "readme.txt", which is a description of the respective zip.

Data set and analysis for the preprint "Influences of local and global context on local orientation perception"

This is the raw data and preprocessed one, with GNU Octave scripts for plots and analyses, for the preprint : https://www.authorea.com/users/596319/articles/629862-influences-of-local-and-global-context-on-local-orientation-perception see the readme file in the zip file for further information.

DAta set. Fallen Journals

Producción de las universidades españolas en el periodo 2018-2022, en las revistas expulsadas de Web of Science en 2023. Se incluye le listado de autores que tienen 6 o más trabajos.

Data set for "Spatially explicit ecological modeling improves empirical characterization of dispersal"

Data set used and created in the simulations, analysis and figures of the associated paper.

Data sets for "Bridgmanite grain size variation accounts for the mid-mantle viscosity jump" by H. Fei et al.

The date sets contain the grain size data and EPMA data for the article "Bridgmanite grain size variation accounts for the mid-mantle viscosity jump" by H. Fei et al.

opencc-by-4.0Dec 2021View details →

PAML data set for integrins, tetraspanins, and ADAMs in the coral Acropora

Data set for gamete composing integrins, tetraspanins, and ADAMs in the coral Acropora digitifera. The LC-MS/MS analyses of eggs or sperm of the coral Acropora digitifera were conducted. Identified integrins, tetraspanins, and ADAMs which are reported in their involvement in the fertilization of the coral Acropora. The data sets were used for analyses of molecular evolutionary analyses with codeml to select which genes encoding the proteins showed accelerated evolution during acquisition of species-specific fertilization. cDNA sequences of the identified proteins were used for collecting the orthologues of the Acropora spp using Orthoscope.

opennotspecifiedNov 2017View details →

IG. 6. Ordination diagram of PCA of the Patagonian bat assemblage for craniodental variables using A) data set not size-corrected; and B) data set size-corrected. Polygons include specimens from each species: H. macrotus (▲), H. magellanicus (), H. montanus (▲), L. varius (■), M. chiloensis (●), and T. brasiliensis (£). Vectors show the strengh of correlation of each variable with the plane of PC1 and PC2. See text for abbreviations in Ecomorphological diversity in the Patagonian assemblage of bats from Argentina

IG. 6. Ordination diagram of PCA of the Patagonian bat assemblage for craniodental variables using A) data set not size-corrected; and B) data set size-corrected. Polygons include specimens from each species: H. macrotus (▲), H. magellanicus (), H. montanus (▲), L. varius (■), M. chiloensis (●), and T. brasiliensis (£). Vectors show the strengh of correlation of each variable with the plane of PC1 and PC2. See text for abbreviations

Data set for 'All-microwave Lamb shift engineering for a fixed frequency multi-level superconducting qubit'

Solurce data for the paper 'All-microwave Lamb shift engineering for a fixed frequency multi-level superconducting qubit' (https://www.nature.com/articles/s42005-024-01841-0).

opencc-by-4.0Dec 2022View details →

Test Data set

Test data set for flow field

opencc-by-nc-sa-4.0Oct 2017View details →

Underwater caves sonar data set

Data set collected with an autonomous underwater vehicle testbed in the unstructured environment of an underwater cave complex. The vehicle is equipped with two mechanically scanned imaging sonar sensors to simultaneously map the caves horizontal and vertical surfaces, a Doppler velocity log, two inertial measurement units, a depth sensor, and a vertically mounted camera imaging the sea floor for ground truth validation at specific points. The testbed collected the data in July 2013, guided by a human diver, to sidestep autonomous navigation in a complex environment. For ease of use, the original robot operating system bag files are provided together with a version combining imagery and human-readable text files for processing on other environments. This dataset was described in: Mallios A, Vidal E, Campos R, Carreras M. Underwater caves sonar data set. The International Journal of Robotics Research. 2017;36(12):1247-1251. doi:10.1177/0278364917732838 Web: <a href="https://cirs.udg.edu/caves-dataset/">https://cirs.udg.edu/caves-dataset/</a>

Data-set of CO2, CH4, N2O dissolved concentrations and ancillary data in 15 Ecuadorian high-altitude lakes

Data-set of the dissolved concentrations of CO2, CH4 and N2O and ancillary data in 15 lakes located in the northern region of Ecuadorian Andes along an elevational gradient from 2,213 to 4,361 m above sea level, as well as a gradient of lake surface area (0.003 to 6.1 km2) and depth (0.9 to 74 m) (Fig. 1). Most lakes were located in the páramos of Salve Facha and Antisana y Mojanda. Sampling was carried out over a period from April 2019 to March 2022, with an inflatable boat approximately in the center of the lake, during day-time only (early morning to late afternoon). Water temperature, specific conductivity, pH, and %O2 were measured in surface water with a YSI multi-parameter probe (ProPlus). Water for CH4 and N2O samples was collected with a sampling devise consisting of a 2L polyethylene bottle with the bottom cut and fitted with a silicone tubing at the stopper (Abril et al. 2007). Two borosilicate serum bottles (Weathon) with a volume of 40 ml were filled with the silicone tubing, poisoned with 100 µl of a saturated solution of HgCl2 and sealed with a butyl stopper and crimped with an aluminium cap. Measurements were made, after over-night equilibration, on an headspace (Weiss 1981) (created by injecting 15 ml of high-purity N2 into the 40 ml sample bottles), with a gas chromatograph (SRI 8610C) with a flame ionisation detector for CH4 and electron capture detector for N2O calibrated with CH4:N2O:N2 gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH4, and 0.2, 2.0 and 6.0 ppm for N2O. The precision of measurement based on duplicate samples was ±10.9% for CH4 and ±5.8% for N2O. The partial pressure of CO2 (pCO2) was measured in the field with a Li-Cor Li-820 infra-red gas analyser based on the headspace technique with four 60 ml polypropylene syringes that were filled directly with surface water. The pCO2 in the atmosphere was measured by injecting ambient air sampled with an additional polypropylene syringe. The Li-Cor Li-820 was calibrated with pure N2 and CO2:N2 gas mixtures (Air Liquide Belgium) of 388, 804, 3,707 and 8,146 ppm. The final pCO2 value was computed taking into account the partitioning of CO2 between water and the headspace, as well as equilibrium with HCO3- (Dickson et al. 2007) using water temperature measured in-situ and after equilibration, and total alkalinity (TA). The precision of pCO2 measurement was ±5.2%. The CO2 concentration is expressed as partial pressure in parts per million (ppm) and as dissolved concentration for CH4 (nmol L-1), in accordance with convention in existing topical literature. Variations of N2O were modest and concentrations fluctuated around atmospheric equilibrium, so data are presented as percent of saturation level (%N2O, where atmospheric equilibrium corresponds to 100%), computed from the global mean N2O air mixing ratios given by the Global Monitoring Division (GMD) of the Earth System Research Laboratory (ESRL) of the National Oceanic and Atmospheric Administration (NOAA) (https://www.esrl.noaa.gov/gmd/hats/combined/N2O.html), using the Henry’s constant (Weiss and Price 1980). Samples for the stable isotope composition of DIC (δ13C-DIC) were collected in 12 ml Exetainer vials (Labco) and poisoned with 50 µL of a saturated solution of HgCl2. Prior to the analysis of δ13C-DIC, a 2 ml helium headspace was created and 100 µL of phosphoric acid (H3PO4, 99%) was added in the vial in order to convert CO32- and HCO3- to CO2. After overnight equilibration, up to 1 mL of the headspace was injected with a gastight syringe into a coupled elemental analyser - IRMS (EA-IRMS, Thermo FlashHT or Carlo Erba EA1110 with DeltaV Advantage). The obtained data were corrected for isotopic equilibration between dissolved and gaseous CO2 as described by Gillikin and Bouillon (2007). Calibration was performed with certified standards (NBS-19 or IAEA-CO-1, and LSVEC). Reproducibility of measurement based on duplicate injections of samples was typically better than ±0.2 &permil;. Water was collected in surface water with a 2L polyethylene bottle. The water filtered through 47 mm diameter GF/F Whatman glass fibber filters was collected and further filtered through polyethersulfone syringe encapsulated filters (0.2 µm porosity) for nitrate (NO3-), nitrite (NO2-), ammonium (NH4+), TA, major elements (Na+, Mg2+, Ca2+, K+), as well as dissolved silicate (DSi) and Fe, stable isotope composition of O and H of H2O (δ18O-H2O and δ2H-H2O) and dissolved organic carbon (DOC). An additional water filtration was made on 25 mm diameter GF/F Whatman glass fibber filters for particulate organic carbon (POC) analysis. Samples for NO3-, NO2-, and NH4+ were stored frozen (-20°C) in 50 ml polypropylene vials. NO3- and NO2- were determined with the sulfanilamide colorimetric with the vanadium reduction method (American Public Health Association, 1998), and NH4+ with the dichloroisocyanurate-salicylate-nitroprussiate colorimetric method (Standing committee of Analysts, 1981). Detection limits were 0.3, 0.01, and 0.15 µmol L-1 for NH4+, NO2- and NO3-, respectively. Precisions were ±0.02 µmol L-1, ±0.02 µmol L-1, and ±0.1 µmol L-1 for NH4+, NO2- and NO3-, respectively. Samples for TA were stored at ambient temperature in polyethylene 55 ml vials and measurements were carried out by open-cell titration with HCl 0.1 mol L-1 according to Gran (1952), and data quality checked with certified reference material obtained from Andrew Dickson (Scripps Institution of Oceanography, University of California, San Diego, USA), with a typical reproducibility better than ±3 µmol kg-1. Samples for δ18O-H2O and were δ2H-H2O stored at ambient temperature in polypropylene 8 ml vials. δ2H-H2O was measured on H2 gas derived from a high‐temperature (1,030°C) Cr‐based reactor by automated injections of water using a TriPlus autosampler on an elemental analyzer (Thermo Flash HT/EA; Thermo Finnigan) coupled to a continuous‐flow isotope‐ratio mass spectrometer (Delta V Advantage; Thermo Finnigan). δ18O-H2O values were measured on a Thermo GasBench II coupled to a Thermo Delta XP IRMS after equilibration with CO2. The long-term uncertainty for standard δ18O values was ±0.1&permil;. Samples for major elements were stored at ambient temperature in 20 ml scintillation vials and preserved with 50 μl of HNO3 (65%). Major elements were measured with inductively coupled plasma MS (ICP-MS; Agilent 7700x) calibrated with the following standards: SRM1640a from National Institute of Standards and Technology, TM-27.3 (lot 0412) and TMRain-04 (lot 0913) from Environment Canada, and SPS-SW2 Batch 130 from Spectrapure Standard. Limit of quantification was 0.5 µmol L-1 for Na+, Mg2+ and Ca2+, 1.0 µmol L-1 for K+ and 8 µmol L-1 for DSi. Samples to determine DOC were stored at ambient temperature and in the dark in 40 ml brown borosilicate vials with polytetrafluoroethylene (PTFE) coated septa and poisoned with 50 µL of H3PO4 (85%), and DOC concentration was determined with a wet oxidation total organic carbon analyzer (IO Analytical Aurora 1030W), with a typical reproducibility better than ±5%. Filters for POC analysis were decarbonated with HCl fumes for 4h and dried before encapsulation into silver cups; POC concentration was analysed on an EA-IRMS (Thermo FlashHT with DeltaV Advantage), with a reproducibility better than ±5%. Data were calibrated with certified (IAEA-600: caffeine) and in-house standards (leucine, tuna muscle tissue) that were previously calibrated versus certified standards. References Abril, G., Commarieu, M.-V., Guérin, F., 2007. Enhanced methane oxidation in an estuarine turbidity maximum. Limnol. Oceanogr. 52, 470-475. https://doi.org/10.4319/lo.2007.52.1.0470 American Public Health Association. Standard methods for the examination of water and wastewater, (APHA, 1998). Dickson, A.G., Sabine, C.L., Christian, J.R., 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3, 191 pp., https://doi.org/10.25607/OBP-1342 Gillikin, D.P., Bouillon, S., 2007. Determination of δ18O of water and δ13C of dissolved inorganic carbon using a simple modification of an elemental analyzer – isotope ratio mass spectrometer (EA-IRMS): an evaluation, Rapid Comm. Mass Spectrom. 21, 1475-1478, https://doi.org/10.1002/rcm.2968 Gran, G., 1952. Determination of the equivalence point in potentiometric titrations Part II, The Analyst, 77, 661-671, https://doi.org/10.1039/AN9527700661. Standing committee of Analysts (1981). Ammonia in waters. Methods for the examination of waters and associated materials. 16 pp (HMSO, 1981). Weiss, R.F., Price, B.A., 1980. Nitrous oxide solubility in water and seawater. Mar. Chem. 8, 347-359. https://doi.org/10.1016/0304-4203(80)90024-9 Weiss, R.F., 1981. Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. J. Chromatogr. Sci. 19, 611-616. https://doi.org/10.1093/chromsci/19.12.611