Find research datasets worth reusing

opencc-by-4.0Dec 2019View details →

CESM2 cloud locking suite single-level fields

Selected single-level Community Atmosphere Model version 6 (CAM6) fields from four simulations of the Community Earth System Model version 2.0.1 (CESM2).  Names of the simulations as they appear in the GRL manuscript (and corresponding native case name) are: CTL (B1850_c201_CTL), CLOCK (B1850_c201_CLOCK), FCTL (F1850JJB_c201_CTL), and FLOCK (F1850JJB_c201_CLOCK).  Note that CLOCK only spans 24 yr while the others span 25 yr. All simulations are forced by prescribed pre-industrial atmospheric composition. CTL and CLOCK use prognostic atmosphere, ocean, land, and sea ice models;  FCTL and FLOCK use prescribed monthly mean sea-surface temperatures and sea ice concentrations taken from CTL. In CLOCK and FLOCK, cloud properties seen by the radiation scheme are prescribed ("locked") and are sourced from randomly selected years of a 3-year data pool comprised of Years 20-22 of CTL.

opencc-by-4.0Dec 2019View details →

CESM2 cloud locking suite multi-level fields for FCTL simulation

Selected multi-level Community Atmosphere Model version 6 (CAM6) fields from the FCTL simulation of the Community Earth System Model version 2.0.1 (CESM2).  The simulation is labeled "FCTL" in the GRL manuscript but has a native case name of "F1850JJB_c201_CTL" in the file names.  FCTL is forced by prescribed pre-industrial atmospheric composition, and monthly mean sea-surface temperatures and sea ice concentrations taken from an existing pre-industrial fully coupled simulation ("CTL").

opencc-zeroNov 2018View details →

Herbarium specimen image of Xyris mentiens Lock, part of the collection of Meise Botanic Garden

Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published. Content of this deposition: - A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values. - A JPEG image file of the scanned herbarium sheet. - A lossless TIFF image from which the JPEG image has been derived. - Two PNG files containing segmented image overlays of the scanned herbarium sheet. The _all extension indicates that all labels, color charts and pieces of text have received a different color against a black background color. The _sel extension indicates that these elements are white if they're barcode labels, yellow if they're color charts and red if they're anything else.

opencc-zeroNov 2018View details →

Herbarium specimen image of Xyris subtilis Lock, part of the collection of Royal Botanic Gardens, Kew

opencc-by-4.0Jun 2019View details →

Smart Locks Access Control System

The smart locks access system (Outlock’s locking units) is based on the patented Knock Code technology, which transfers encrypted data by mechanical pulses to unlock the lock. Since there are no conventional keys, keyholes or external parts, locking units are highly resistant to break-ins, vandalism, and the toughest weather conditions. To unlock the lock, the user enters the code and simply holds the KnockKey against the opening’s surface. Additionally, LNLI lock application provides a sophisticated electronic locks’ management system.

opencc-by-4.0Aug 2024View details →

Locked Shields Partners Run 23 (LSPR23): A novel IDS dataset from the largest live-fire cybersecurity exercise

IDS Dataset from the Largest Live Fire Cybersecurity Exercise Using Virtual Blue Team Network Traffic. <ul> <li> LSPR23 is derived from Locked Shields 2023, a major live-fire cyber defense exercise. </li> <li> LSPR23 includes ~16M network flows, of which ~1.6M are labeled malicious. </li> </ul>   Please cite our research article:"LSPR23: A novel IDS dataset from the largest live-fire cybersecurity exercise" when using our dataset: https://doi.org/10.1016/j.jisa.2024.103847

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Baltimore Ecosystem Study: Household Telephone Survey in support of Locke et al 2019 in PLoS One

This is a subset of the data found in Grove and Locke (2018), to be included with: Locke, D.H., Polsky, C., Grove, J. M., Groffman, P. M., Nelson, K.C., Larson, K. L., Cavender-Bares, J., Heffernan, J. B., Roy Chowdhury, R., Hobbie, S. E., Bettez, N., Neill, C., Ogden, L.A., O’Neil-Dunne, J. P. M.. [accepted]. Heterogeneity of practice underlies the homogeneity of ecological outcomes of United States yard care in metropolitan regions, neighborhoods and households. PLoS ONE doi:10.1371/journal.pone.0222630 These data contain answers 2011 survey questions: In the past year, which of the following has been applied to any part of your yard: Water for irrigating grass, plants, or trees? Fertilizers? Pesticides to get rid of weeds or pests? The total household annual income (8 ordinal categories), age of respondent (5 ordinal categories), and the answer to: About how many neighbors do you know by name? (recorded in 5 ordinal categories). Two additional columns are provided to indicate the metropolitan region of the respondent (one of the following six: Phoenix, Los Angeles, Minneapolis - St. Paul, Baltimore, Boston, or Miami) and the degree of urbanicity in that region (Urban, Suburban, or Exurban). See Grove and Locke 2018 for additional details. This research is supported by the Macro- Systems Biology Program (US NSF) under Grants EF-1065548, -1065737, -1065740, -1065741, -1065772, -1065785, -1065831, and -121238320 and the NIFA McIntire-Stennis 1000343 MIN-42-051. The work arose from research funded by grants from the NSF LTER program for Baltimore (DEB- 0423476, DEB-1027188); Phoenix (BCS-1026865, DEB-0423704, DEB-9714833, DEB-1637590, DEB-1832016); Plum Island, Boston (OCE-1058747 and 1238212); Cedar Creek, Minneapolis–St. Paul (DEB- 0620652); and Florida Coastal Everglades, Miami (DBI-0620409). Edna Bailey Sussman Foundation, Libby Fund Enhancement Award and the Marion I. Wright ‘46 Travel Grant at Clark University, The Warnock Foundation, the USDA Forest Service No

openCC (other)Sep 2019View details →

opencc-by-4.0Jan 2020View details →

Raw EEG-EOG data used in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State"

The dataset includes raw EEG and EOG recordings during BCI experiments for three patients: p11, p13, p15, and p16. The structure of the dataset is the following: patient/visit/day. The experiment is described in detail in the publication "Auditory Electrooculogram-based Communication System for ALS Patients in Transition from Locked-in to Complete Locked-in State". The correspondence between raw file and BCI session is reported in the attached pdf file "Supplementary Table S5 Session to Raw File Recordings Correspondence". The datasets include EEG and EOG channels. The data are raw (i.e. non filtered and non processed). Data have been acquired with a sampling rate of 500Hz using active electrodes and the amplifier V-Amp DC (Brain Products, Germany). EOG channels are labeled EOGU, EOGD, EOGR, EOGL namely for EOG up, down, right, left; the location in the 10-20 system are respectively SO1, IO1, LO1, LO2. The data are marked with triggers: for each session two markers indicate start and end of the session; for each trial markers indicate start of baseline, start of presentation of question, start of response time, start of feedback. Each trial was marked in a different way if it was a yes trial belonging to a training or feedback session, a no trial belonging to a training or feedback session, or a trial belonging to a speller session. The markers that have been used are the following: start 9                     yes no speller baseline       10  11  12 presentation 5   6    7 response      4   8    13 feedback      1   2    3 end 15

opencc-by-4.0Feb 2021View details →

Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome, caregives and researchers

Nine animation videos used in the questionnaire described in the articles "Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome" (<a href="https://doi.org/10.1177%2F1545968321989331">https://doi.org/10.1177/1545968321989331</a>) and "Brain-Computer Interfaces for communication: preferences of individuals with locked-in syndrome, caregivers and researchers" (<a href="https://doi.org/10.1080/17483107.2021.1958932">https://doi.org/10.1080/17483107.2021.1958932</a>). Video animations were designed and produced by Merel Horsmeier.

openother-openMay 2023View details →

Data used in 'Slumping regime in lock-release turbidity currents'

This repository contains the data used in the paper:<blockquote>Gadal, C., Mercier, M., Rastello, M., & Lacaze, L. (2023). Slumping regime in lock-release turbidity currents. Journal of Fluid Mechanics, 974, A4. doi:10.1017/jfm.2023.762</blockquote> where the slumping regime of turbidity currents is studied with respect to the initial volume fraction, the bottom slope and the particle settling velocity. The folder 'runs' contains 169 netcdf4 files corresponding to each experimental run used in the paper. For each run, the structure of the NetCDF file is the following:<ul><li>attributes:<ul><li>particle_type: particle type used (silica sand, glass beads or saline water)</li><li>run_number: NetCDF file name</li><li>expe_type: always lock-release here</li><li>surface_type: can be 'open surface' or 'rigid lid'</li><li>set_up: can be 'set-up 1' or 'set-up 2'</li><li>run_oldID: run name corresponding to the experimental notebook</li></ul></li><li>groups:<ul><li>initial_parameters:<ul><li>dimensions(sizes):</li><li>variables(dimensions):<ul><li>Bottom slope(): bottom slope</li><li>Current density(): initial average (fluid + particle) lock density</li><li>Grain density(): particle density (not measured, estimated)</li><li>Grain diameter(): particle diameter</li><li>Initial Reynolds number(): initial Reynolds number, [rho_0 * u_0 * h_0 / mu]</li><li>Initial Rouse number(): initial Rouse number, [v_s / u_0]</li><li>Initial volume fraction(): initial lock particle volume fraction</li><li>Reduced gravity(): reduced gravity, [g*(rho_0 - rho_f)/rho_f]</li><li>Settling velocity(): particle settling velocity</li><li>Temperature(): water temperature (not measured)</li><li>V0 (lock volume)(): lock suspension volume</li><li>Water density(): water density</li><li>Water dynamic viscosity(): water dynamic viscosity (not measured)</li><li>h0 (lock height)(): suspension height inside lock</li><li>u0 (velocity scale)():  velocity scale, [sqrt(g'*h_0)]</li><li>w0 (tank width)(): lock crosstream width</li><li>x0 (lock length)(): lock streamwise length</li></ul></li></ul></li><li>scalar_variables:<ul><li>dimensions(sizes): tuples(2), x(1181)</li><li>variables(dimensions):<ul><li>Av. shape('x',): current average shape</li><li>Av. shape head volume(): Volume per unit of width of the head part of current average shape</li><li>Av. shape tail volume(): Volume per unit of width of the tail part of current average shape</li><li>Av. shape volume(): Volume per unit of width of current average shape</li><li>Bulk entrainment coefficient(): Bulk entrainment coefficient during slumping</li><li>Current Froude number(): Current Froude number, [u_c/sqrt(g' * h_b)]</li><li>Current Reynolds number(): Current Reynolds number, [rho_0 * u_c * h_b / mu]</li><li>Current Rouse number(): Current Rouse number, [v_s / u_c]</li><li>Current head height (log fit)(): current height h_h coming from log fit</li><li>Current height (benjamin fit)(): current height h_b coming from fit of Benjamin's shape</li><li>Current nose height (benjamin fit)(): current nose height h_n coming from fit of Benjamin's shape</li><li>Current nose height (log fit)(): current nose h_n coming from log fit</li><li>Geometrical Froude number(): Current Geometrical Froude number, [u_c/sqrt(g' * h0)]</li><li>Geometrical Reynolds number(): Current Geometrical Reynolds number [rho_0 * u_c * h0 / mu]</li><li>Times lock opening (tstart, tend)('tuples',): Start and end times of lock opening</li><li>Times slumping regime (tstart, tend)('tuples',): Start and end times of constant velocity regime</li><li>Velocity (slumping regime)(): Current velocity during slumping</li><li>time_series:</li><li>dimensions(sizes): time(3071)</li><li>variables(dimensions):</li><li>Volume('time',): current volume per unit of width</li><li>contour time series (x)('time',): x coordinate time series of the current contours</li><li>contour time series (y)('time',): y coordinate time series of the current contours</li><li>position('time',): front position</li><li>time('time',): time vector</li><li>velocity('time',): front velocity</li></ul></li></ul></li></ul></li></ul> Most variables possess the following attributes:<ul><li>unit: corresponding unit</li><li>std: error(s) on the given quantity, calculated by error propagation from measurement uncertainties using the `uncertainties` module (https://pythonhosted.org/uncertainties/) in Python.</li><li>comments: comments on the given quantity (definition, formulas, etc ..)</li></ul>Note that all variables related to the current shape are not available for experimental runs carried out in set-up 2. The script ReadPlotData.py shows how to display the structure of a NetCDF file, and gives examples of how to load some variables and plot them by reproducing some of the paper's figures. The CSV file 'dataset_summary.csv' offers a summary of all runs and corresponding experimental parameters, allowing for easier access for testing purposes. *Note that errors are not given in this file.*OpenData License: licence-ouverte-v2.0If you use this open data in your work (research or other), please cite in your bibliography the following reference doi:https://doi.org/10.1017/jfm.2023.762

Fig. 1 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Fig. 1. Copulation of Corizus hyoscyami (male) and Rhopalus parumpunctatus (female), Novgorod Province. Photograph by E.Yu. Kirtsideli.

Fig. 12 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Fig. 12. Female internal ectodermal genitalia in Corizus hyoscyami. b.g.c, basal part of gynatrial cone; a.g.c, apical part of gynatrial cone; l.p.g, lateral pouches of gynatrial sac. The basal part of gynatrial cone is shown in more or less dorso-ventral plane. Scale bar: 0.14 mm.

Fig. 6 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Fig. 6. Completely inflated aedeagus of Rhopalus parumpunctatus. Dry preparation in dorsal view. Scale bar: 0.14 mm

Figs 10, 11 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Figs 10, 11. Female terminalia in Rhopalus parumpunctatus. 10, external terminalia, ventral view; 11, internal ectodermal genitalia, dorsal view. b.g.c, basal part of gynatrial cone; a.g.c, apical part of gynatrial cone; gon, gonangulum; gp.I, gonapophysis I; f.d.w, fold on dorsal wall of basal part of gynatrial cone; gp.II, gonapophysis II; gx.VIII, gonocoxite VIII; gx.IX, gonocoxite IX; l.p.g, lateral pouches of gynatrial sac; lt.VIII, laterotergite VIII; lt.IX, laterotergite IX; prg, proctiger; sp.d, spermathecal duct. At fig. 10, the genital plates are shown somewhat driven apart and the inner margins of laterotergites IX are shown slightly turned ventrally; at fig. 11, the basal part of gynatrial cone is shown in more or less dorso-ventral plane. Scale bar: 0.14 mm.

Figs 4, 5 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Figs 4, 5. Aedeagus of Rhopalus parumpunctatus in intermediate stages of inflation.4, earlier stage of inflation; 5, somewhat later stage of inflation. Wet preparations in dorsal view. b.p.v., basal part of vesica; h.bd, hyaline band. Scale bar: 0.14 mm.

Figs 2, 3 in An instance of intergeneric copulation in the family Rhopalidae (Heteroptera): structure, functioning and congruence of the genitalia in two different species from the standpoint of the lock-and-key hypothesis

Figs 2, 3. Aedeagus of Rhopalus parumpunctatus. 2, at rest; 3, at very beginning of inflation. Wet preparations in dorsal view. a.p.v, apical part of vesica; ar.s, articular sclerite; d-l.l, dorso-lateral lobes of conjunctiva; ej.r, ejaculatory reservoir; l.l.v, left lobe of basal part of vesica; r.l.v, right lobe of basal part of vesica; s.gp, secondary gonopore. Scale bar: 0.14 mm.