Find research datasets worth reusing

opencc-by-4.0May 2023View details →

Deuterated TEKPol Biradicals and the Spin-Diffusion Barrier in MAS DNP

Raw data set for the publication "Deuterated TEKPol Biradicals and the Spin-Diffusion Barrier in MAS DNP". The file contains data from DFT, EPR, NMR and DNP-calculations, and a text file describing the contents of all the folders. DOI of published article: <a href="https://doi.org/10.1002/anie.202304844">https://doi.org/10.1002/anie.202304844</a>

opencc-by-4.0May 2023View details →

Replication Data for: "Diffusion of Gender Norms: Evidence from Stalin's Ethnic Deportations" by Miho, Jarotschkin, and Zhuravskaya (JEEA 11805)

This is the Data and Code for replication of the JEEA article "Diffusion of Gender Norms: Evidence from Stalin’s Ethnic Deportations” by Miho, Jarotschkin, and Zhuravskaya. See Readme file for details. Note that several datasets used in the article are proprietary and are not included in this package. Readme file explains steps necessary to obtain these datasets. The replication files are in directory "replication." The package also includes all the steps needed to obtain the datasets needed for replication from the raw sources (see additional directory "build_intermediary"), files in this directory are supplementary and not needed for replication. Citation: Miho, Jarotschkin, and Zhuravskaya. "Diffusion of Gender Norms: Evidence from Stalin’s Ethnic Deportations”, Journal of European Economic Association. (Forthcoming).

opencc-by-4.0Oct 2021View details →

Galactic Diffuse Emission Spectrum between 0.5 and 8.0 MeV and between 30 keV and 8 MeV for the search of PBH and Light Dark Matter

Spectra and response files of the soft gamma-ray spectrum from Inverse Compton scattering in the Milky Way between 0.5 and 8.0 MeV, measured with INTEGRAL/SPI. The fluxes have been extracted with spimodfit assuming GALPROP v56 models according to Voyager 1, AMS-02, and Fermi/LAT data, plus different variants to change the interstellar radiation field, the diffusion properties, or the cosmic-ray halo size (<a href="https://ui.adsabs.harvard.edu/abs/2022A%26A...660A.130S/abstract">Siegert et al., 2022</a>). The respective galdef files are included. In particular: <ul> <li>voyager: propagation model of Bisschoff et al. (2019), Table 2</li> <li>voyager_Dg10001: \(\delta_1 = 0\)</li> <li>voyager_Dg1Dg205: \(\delta_1 = \delta_2 = 0.5\)</li> <li>voyager_ISRFopt10: factor 10 stronger optical ISFR</li> <li>voyager_z8kpc_KL: thick halo with 8 kpc half-thickness</li> </ul> In addition, there are spectra from 30 keV to 8 MeV (spec_0030-8000keV_<name>.fits, <a href="https://ui.adsabs.harvard.edu/abs/2022PhRvD.106b3030B/abstract">Berteaud et al., 2022</a>), separated into: <ul> <li>CV: spectrum of unresolved point sources in the Galactic plane, mostly cataclysmic variables (strong systematics)</li> <li>IC: spectrum of Inverse Compton scattering of cosmic ray GeV electrons (see above)</li> <li>positronium: spectrum of positronium decay (annihilation of electrons with positrons after intermediate bound state)</li> <li>NFW: spectrum of dark matter contributions that would follow a Navarro Frenk White density profile (mostly consistent with zero)</li> <li>total: spectrum of the above combined</li> </ul> The notebooks for dark matter related bounds when using this data as well as auxiliary files to create the templates are given as (<a href="https://ui.adsabs.harvard.edu/abs/2022PhRvD.106b3030B/abstract">Berteaud et al., 2022</a>, <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.520.4167C/abstract">Calore et al., 2023</a>): <ul> <li>DM_fsr.ipynb: Notebook for final state radiation bounds</li> <li>DM_fsr.py: astromodels function for final state radiation spectrum</li> <li>DM_2gamma.ipynb: Notebook for gamma gamma final state bounds</li> <li>DM_2gamma.py: astromodels function for gamma gamma spectrum</li> <li>Positronium_Spectrum.py: astromodels function for Positonium spectrum</li> <li>DM_pbh.py: script for obtaining PBH bounds</li> <li>diff_@@.csv: spectra for PBH evaporation</li> <li>total_spectrum.fits.gz: total Galactic spectrum</li> <li>NFW_spectrum.fits.gz: NFW-only spectrum</li> </ul>

opencc-by-4.0Jun 2023View details →

Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase.

The data deposited here accompany the manuscript "Extended ensemble molecular dynamics study of ammonia–cellulose I complex crystal models: free-energy landscape and atomistic pictures of ammonia diffusion in the crystalline phase" and include the molecular dynamics trajectories and the AMBER topology (parm) files. Detailed file contents are summarized in the README file.

opencc-by-4.0Jun 2023View details →

Data from: Insect communities under skyglow: diffuse night-time illuminance induces spatio-temporal shifts in movement and predation

We conducted our experiment at the iDiv Ecotron experimental facility, which is an indoor mesocosm facility consisting of independent, experimental chambers called “EcoUnits”. The Ecotron is located in Bad Lauchstädt, Saxony-Anhalt, Germany, at the Experimental Research Station of the Helmholtz Centre for Environmental Research (UFZ, 51.3917° N, 11.8762° E). Multiple environmental conditions in the EcoUnits can be fully controlled (e.g., nutrient supply and irrigation). Each EcoUnit has internal dimensions of 1.46 m × 1.46 m × 1.50 m (L × W × H, aboveground) and 1.24 m × 1.24 m × 0.80 m (L × W × H, belowground) with the soil surface area measuring 1.54 m². To assess the interactive effects of diffuse nighttime illuminance and landscape structure on animal movement patterns, we established a patch-grassland system which consisted of four meadow patches within each of the corners of an EcoUnit, separated by an area of bare ground. The EcoUnits were filled with 1.23 m3 of unsterilised and homogenised soil from the vicinity of the iDiv Ecotron, and plant communities of 16 plant species were sown on February 4th 2020. We allowed for a settlement phase of roughly 5 months before starting our measurements.   Each heading below describes columns in the two datasets that describe the movement activity (RFID sensor detections) and predation (bite marks left on artificial caterpillar prey dummies) by the experimental insect communities.   timestamp: Continuous value indicating the time and date (format: DD/MM/YYYY hh:mm:ss, timezone: UTC+2) at which a tagged individual was detected by an RFID sensor. We defined detections as distinct and only counted them when they (1) occurred on different sensors or when (2) at least 10 seconds had elapsed (without detection on the same sensor) between two consecutive detections on the same sensor. This prevented the repeated detection of resting or dead animals. block_ID: Categorical value indicating whether an observation was made within the first or second temporal experimental block (b1, b2). Each block corresponded to a period of approximately one lunar cycle (i.e., 28 days: experimental block b1: 21.07.2020 - 18.08.2020, experimental block b2: 15.09.2020 - 13.10.2020). rep_ID: Categorical value indicating the replicate prey dummy exposures (r2, r3, r4, r5) that took place within each 28-day temporal experimental block: r2 and r3 took place successively within block b1; r4 and r5 took place successively within block b2. NAs identify periods during each experimental block where prey dummies had not yet been deployed or were in the process of being collected/re-deployed.   unit_ID: Categorical value indicating the identity of each of the 12 EcoUnits at the iDiv Ecotron experimental facility. patch_ID: Categorical value indicating the identify of each of the four meadow patches within each EcoUnit. Patch identities correspond to their coordinates within the EcoUnit. x: Continuous value indicating the X-coordinate position of an RFID sensor or prey dummy within the Ecotron unit with respect to the position of each EcoUnit’s control panel. y: Continuous value indicating the Y-coordinate position of an RFID sensor or prey dummy within the Ecotron unit with respect to the position of each EcoUnit’s control panel.  day_night: Categorical value indicating whether an individual was detected during the day (treatment lights off) or during the night (treatment lights on). Night includes the periods of dawn and dusk where daylight was gradually (i.e. linearly) brightened or dimmed over the course of two hours before sunrise and sunset, respectively. habitat: Categorical value indicating whether a tagged individual was detected within a meadow patch (Patch) or within the area of bare ground (Matrix) which separates individual patches. tag: Categorical value indicating the unique serial number associated with an RFID-tagged individual. This column is used to estimate local densities (sum of unique tag IDs detected). species: Categorical value indicating the scientific name of the species according to the taxonomy of the Global Biodiversity Information Facility (accessed via GBIF.org during 2020). Note that Harpalus rufipes (De Geer) is referred to in the database by its synonym Pseudoophonus rufipes (De Geer). Poecilus includes the species Poecilus cupreus and Poecilus versicolor. , Harpalus affinis, Harpalus latus) are pooled together at the genus level.  bodymass_mg: Continuous value indicating the live body mass of each tagged individual, excluding the added mass of the RFID tag. detection: Integer with a fixed value of 1 representing the detection of a unique RFID tag. This column is used to estimate movement activity (sum of detections). bite_count: Integer value indicating the number of bite marks recorded on an individual prey dummy during a 14-day exposure. Two independent observers scored the prey dummies by identifying and counting the bite marks left by carabid predators. treatment_lux: Continuous value indicating the treatment of diffuse nighttime illuminance in Lux.

opencc-by-4.0Nov 2022View details →

Enhanced diffusion barrier layers for avoiding degradation in SOFCs aged for 14000 h during 2 years

The dataset contains all the data used for the publication called Enhanced diffusion barrier layers for avoiding degradation in SOFCs aged for 14000 h during 2 years, Bernadet et al., Journal of Power Sources, 555, 2023, 232400 (10.1016/j.jpowsour.2022.232400) as well as for the supplementary information. Data is labeled with the figure number-letter and sample type. All the figures related to the nano-XRF data (Fig4, FigS1-4) were obtained from the same dataset, shared for Fig4 and FigS1.

dryad40/100

Suppression force-fields and diffuse competition: Competition de-escalation is an evolutionarily stable strategy

Competition theory is founded on the premise that individuals benefit from harming their competitors, which helps them secure resources and prevent inhibition by neighbours. When multiple individuals compete, however, competition has complex indirect effects that reverberate through competitive neighbourhoods. The consequences of such "diffuse" competition are poorly understood. For example, competitive effects may dilute as they propagate through a neighbourhood, weakening benefits of neighbour suppression. Another possibility is that competitive effects may rebound on strong competitors, as their inhibitory effects on their neighbours benefit other competitors in the community. Diffuse competition is unintuitive in part because we lack a clear conceptual framework for understanding how individual interactions manifest in communities of multiple competitors. Here, I use mathematical and agent-based models to illustrate that diffuse interactions—as opposed to direct pairwise interactions—are likely the dominant mode of interaction among multiple competitors. Consequently, competitive effects may regularly rebound, incurring fitness costs under certain conditions, especially when kin-kin interactions are common. These models provide a powerful framework for investigating competitive ability and its evolution and produce clear predictions in ecologically realistic scenarios.

opencc-zeroAug 2023View details →

opencc-by-4.0Aug 2023View details →

Methane Vertical Diffusion

Package of required material for simulating vertical methane evolution using GEM-Mars outputs and a 1D vertical diffusion model (MARS_Diffusion.f).

opencc-by-4.0Oct 2023View details →

Raw ptychography data for manuscript with title 'Structured Illumination Ptychography and At-wavelength Characterization with an EUV diffuser at 13.5 nm Wavelength'

- Given are the HDF files containing the raw diffraction patterns - Although some meta-data might be available in these files, these might not be correct. The following data were used for reconstruction:     wavelength: 13.5 nm     distance sample <-> detector: ~29.2 mm     sCMOS pixel size: 11 um     Number of incoherent modes: 4     Initial probe guess: 9 um     For the reconstruction, OPR was used (Although it might have not been necessary for all data. However, to have comparable results it was used for each reconstruction) - For each scenario, there are two data sets to calculate the Fourier ring correlation (FRC) - For the analysis of the diffuser the reconstructed probe of the data set "dp_diffuser_max_dynam_range.hdf5" was used - Data were measured at the Institute of Applied Physics in Jena using a Fiber Laser driven High-order harmonic source Please contact me (wilhelm.eschen@uni-jena.de) for additional support.

opencc-by-4.0Oct 2023View details →

Pilot output of a hybrid micro-CPV solar panels with integrated micro-tracking and diffuse capture

Dataset of power output of four final generation Insolight/Hiperion modules on the rooftop of the Instituto de Energía Solar - Universidad Politécnica de Madrid.  These are micro CPV modules using integrated planar tracking and hybrid diffuse collection. The modules have a four terminal output: the "CPV" output corresponds to triple junction micro solar cells under ~100X concentration using integrated planar tracking and the "SI" output corresponds to an array of IBC silicon solar cells which ocupies the rest of hte backplane area and harvests light not captured by the concentrator. See References for more informationMonitoring campaign:<ul><li>Location: 40.453°N, -3.727°E. <a href="https://www.google.com/maps/place/40%C2%B027'11.6%22N+3%C2%B043'37.3%22W/@40.453215,-3.7275722,142m/data=!3m2!1e3!4b1!4m13!1m6!3m5!1s0x0:0xc636231f90c3bbeb!2sInstituto+de+Energ%C3%ADa+Solar!8m2!3d40.4531766!4d-3.7269107!3m5!1s0x0:0x0!7e2!8m2!3d40.4532142!4d-3.7270248">Instituto de Energía Solar</a>, Universidad Politécnica de Madrid. 28040 Madrid, Spain.</li><li>Starting date: 19 Oct 2022</li><li>End date: 1 Dec 2022</li></ul>Measurement setup:<ul><li>The four modules included in this data set were mounted on an 8 module pilot array.</li><li>The four modules have the following ID numbers: 195, 196, 197, and 198</li><li>The modules were mounted at a fixed mounting angle: Due South, Slope Angle = 30°</li><li>All modules were connected to two Enphase IQ7+ microinverters (one per output) to place them at MPPT.</li><li>CPV and SI voltages and currents wer measured with the Enphase monitoring gateway (Envoy)</li><li>NOTE: Some shading on array in mornings due to time of year.</li></ul>Description of data file:<ul><li>Data files format: single comma-separated text file; headers in first row; all of the following parameters; order below is the same as order in file</li><li>Measurement time: the vector of times represents the times at which the Insolight module firmware sampled the current values of the III-V and Si outputs (measured simultaneously).<ul><li>Date Time (dd/mmm/yyyy HH:MM:SS): time in local civil time (data set begins in CEST / UTC+2 but on 30-Oct-22 transitions to CET / UCT+1 with the end of central european summer time.</li></ul></li><li>Measured meteorological data: these values are measured directly by the IES meteorological station with 1-minute resolution. They have been re-interpolated to match the measurement times.<ul><li>DNI (W/m2): direct normal irradiance as measured by a Normal Incidence Pyrheliometer from Eppley on a solar tracker. Spectral Range: 250-3000 nm. Field of view: 5°</li><li>DNI_Top (W/m2): equivalent direct normal irradiance as measured by a top component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 300 - 680 nm. Field of view: 5.7º</li><li>DNI_Mid (W/m2): equivalent direct normal irradiance as measured by a middle component cell of a lattice-matched III-V triple-junction cell in the <a href="http://solaraddedvalue.com/en/category/products/spectro-heliometer/">ICU-3J35</a> Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 680 - 900 nm. Field of view: 5.7º</li><li>GNI (W/m2): global normal irradiance at the aperture plane as measured with a pyranometer on a solar tracker. Spectral range: 305 – 2800 nm.</li><li>T_Amb (°C): ambient temperature</li><li>Wind Speed (m/s): wind speed</li><li>Wind Dir. (m/s): wind direction</li></ul></li><li>Processed meteorological data: these values are calculated from the above meteorological data and provided for convenience<ul><li>DII (W/m2): Direct Inclined (plane of array) Irradiance corresponding to the module slope angle has been calculated using the sun's known declination and hour angle from the time.</li><li>GII (W/m2): The Global Inclined (plane of array) Irradiance is calculated by first calculating the DII(41°), that is the DII corresponding to the G(41°) measurement, and finding the Diffuse Inclined Irradiance Diff(41°) = G(41°) – DII(41°). It is assumed that the Diffuse Inclined Irradiance at 41° and 30° is equal, so GII = DII + Diff(41°).</li><li>SMR_Top_Mid (n.d.): "Spectral Matching Ratio". This is the ratio between DNI_Top and DNI_Mid. A value of unity indicates a spectrum that is equivalent to AM1.5D with regards to the energy balance between top and middle subcells.</li></ul></li><li>Measured module data: The MP voltage and current are provided for each output of each module. XXX indicates ID number of module. The power in watts may be found by multiplying these values<ul><li>V_CPV_XXX(V):</li><li>V_SI_XXXi (V)</li><li>I_CPV_XXX(A):</li><li>I_SI_XXXi (A)</li></ul></li></ul>

Zanubrutinib, in Combination With Lenalidomide, With or Without Rituximab in Participants With Relapsed/Refractory Diffuse Large B-Cell Lymphoma

ClinicalTrials.gov study NCT04436107. IPD Sharing: YES. Countries: 1. Publications: 0.

KD025 in Subjects With Diffuse Cutaneous Systemic Sclerosis

ClinicalTrials.gov study NCT03919799. IPD Sharing: YES. Countries: 1. Publications: 1.

Treatment of CD79B Mutant Relapsed/Refractory Diffuse Large B-Cell Lymphoma With Bruton Tyrosine Kinase Inhibitor Zanubrutinib

ClinicalTrials.gov study NCT05068440. IPD Sharing: YES. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

Phase III Study of RAD001 Adjuvant Therapy in Poor Risk Patients With Diffuse Large B-Cell Lymphoma (DLBCL) of RAD001 Versus Matching Placebo After Patients Have Achieved Complete Response With First-

ClinicalTrials.gov study NCT00790036. IPD Sharing: UNDECIDED. Countries: 34. Publications: 1.

Effectiveness and Safety of SAR156597 in Treating Diffuse Systemic Sclerosis

ClinicalTrials.gov study NCT02921971. IPD Sharing: YES. Countries: 13. Publications: 1.