Find research datasets worth reusing

opencc-by-4.0Dec 2017View details →

Figure 1 in Comparison of Sampling Intensity to Estimate Infestations of Coffee Berry Borer on Hawaii

Figure 1. Mean proportion of infested berries ± SEM estimated by counting berries using three sampling intensities. The data are averages from four farms on Hawaii island.

opencc-by-4.0Jul 2023View details →

BioRodDis project - Individual information on rodent samples - Jura (France) 2020/2022

This xlxs file contains 190 rodent individuals for which the serological statut for the Puumala (PUUV) orthohantavirus was assessed by immunofluorescence assay (IFA) and enzyme-linked immunosorbent assay (ELISA).  The table is organized with the sequencing code in row and the different individual variables in column: Corresponding abbreviations: - CodeID : the unique identifier of each individual - Species: the rodent species - Locality: the sampling locations: La Glacière=”FRFGLA”, Mignovillard=”FRFMIG” - Sex: the sex (F=female; M=male) - Season: the season of sampling - Year: the year of sampling - Period: the season and year of sampling - Weight: the weight (g) - Body_length: the body length (cm) - Tail_length: the tail lenght (cm) - Testes_position: the testes position status (0/1) - Testes_length: the testes lenght (mm) - Seminal_ves_dev: the seminal vesicles development status(0/1) - Vulva: the vulva opening status (0/1) - Lactation: the lactation status (0/1) - Placental_scars: presence of placental scars (0/1) - Uterus_dev: the uterus development status (0/1) - Gestation: the gestation status (0/1) - Sexual_Maturity: the sexual maturity (Mature or immature) - IFA_PUUV: the PUUV serological status by IFA (0= negative; 1= positive) - Serology: the PUUV serological status by ELISA (0= negative; 1= positive)

opencc-by-4.0Jul 2023View details →

Thermal evaporation as sample preparation for silver‐assisted laser desorption/ionization mass spectrometry imaging of cholesterol in amyloid tissues

Thermal evaporation as sample preparation for silver‐assisted laser desorption/ionization mass spectrometry imaging of cholesterol in amyloid tissues MSI datasets in SCiLS Lab SL File (*.sl) or as flexImaging sequence (*.mis)

Annotated corpus samples of resultative nomination constructions in 4 languages (Dutch, English, French, Spanish)

This dataset includes an annotated corpus sample retrieved from Sketch Engine of 3200 (i.e. 800x4) resultative constructions in 4 languages (Dutch, English, French, Spanish) with 16 (i.e. 4x4) different nomination verbs (Dutch: kronen 'crown', verkiezen 'elect', promoveren 'promote', uitroepen 'proclaim; English: crown, elect, promote, proclaim; French: couronner 'crown', élire 'elect', promouvoir 'promote', proclamer 'proclaim'; Spanish: coronar 'crown', elegir 'elect', ascender 'promote', proclamar 'proclaim').

PCA scores from contemporary Egyptian and Old Kingdom Egypt sample used for testing method by Musilová et al.(2016)

Presented datasets consist of separate .csv files, that contain PCA scores and information about sex and population affinity. Each sample (Old Kingdom, contemporary Egypt, pooled sample etc.) has two files with PCA scores, one for shape and for form (shape + size together) as well as separate .csv file with information about sex/population. PCA scores were obtained after principal component analysis was applied to each dataset, that consisted of 3D models of skulls. PCA scores together with information about sex/population were used for training SVM for classification of sex and population. Details about samples bellow. The contemporary Egypt sample consists 96 CT scans, 49 males and 47 females, 3D models were obtained from DICOM data using Avizo. The Old Kingdom period sample consists of 54 3D models of skulls of individuals from Abusir and Giza, specifically 32 males and 22 females. 3D data from both samples are stored at the Laboratory of 3D Imaging and Analytical Methods, Department of Anthropology and Human Genetics, Faculty of Science, Charles university. Presented datasets were assembled and used as a part of study focused on testing the reliability of sex estimation method developed by Musilová et al.(2016) on non-European population. The datasets are made publicly available to enable reproducibility of the aforementioned work and to ensure data sharing and engagment for other studies focused on sex estimation using skull.

Three-dimensional CAD model of the robotic system used for acquiring samples from bacterial swarms

This CAD model shows the robotic sampling system that was used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of Bacillus subtilis swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution.  The CAD model consists of 81 individual files in IPT or IAM format, which need to be loaded together into a AutoDesk Inventor to be viewed. We used AutoDesk Inventor 2021 to create and view this CAD model.

opencc-by-4.0Jun 2022View details →

MCMC samples for X-ray spectra fits summarised in the paper "A strangely light neutron star"

Posterior samples for NS mass and radius described based on fitting of XMM-Newton and Suzaku spectra of the CCO in HESS J1731-347 and described in the paper the paper  "A strangely light neutron star"  (DOI: <a href="https://doi.org/10.21203/rs.3.rs-1509469/v1">10.21203/rs.3.rs-1509469/v1</a>). Two files uploaded contain posterior samples based based  a) on fitting X-ray data alone using single temperature carbon atmosphere model and Gaia parallax priors (xray_only_carbatm.txt) b) on fitting the same X-ray data but including also all additional priors described in the main text and full priors on distance rather than inverted parallax value (full_priors_carbatm.txt). Note that initial version contained wrong file uploaded by error, so the correct file to use in this case is full_priors_carbatm_corr.txt. We urge, however, to use a) as a baseline, i.e. as input for incorporating of other constraints for two reasons: first, the procedure of incorporating other constraints adopted by us and you may be different, and second, this file contains relatively small number of samples as it was mainly meant as illustration putting our results in context of other constraints and to give an idea of impact which our measurement has on EOS selection for a particular family of EOSs, so the result would be different if other set of EOSs is considered.  in addition a file with updated weights for EOSs used by Dietrich et al 2021 (2020Sci...370.1450D, available on https://github.com/diettim/NMMA) which take into the account constrains from X-ray spectral fitting presented in our work for the CCO and constrains based on modeling of the 4U 1702-429 bursts reported by Nattila et al 2017 (2017A&A...608A..31N) are included in file chiralEFT_MTOV_NICER_GW170817_AT2017gfo_cco_weights.txt. This file is based on and has the same syntax as file chiralEFT_MTOV_NICER_GW170817_AT2017gfo_weighting.dat provided by Dietrich et al 2021 available on https://github.com/diettim/NMMA along with the corresponding tabulated EOS files.

opencc-by-4.0Jun 2023View details →

Fluxes of the protonated masses from the soil samples collected from two temperate ecosystems detected by PTR-ToF-MS

Volatile organic compounds (VOCs) are reactive gaseous compounds with significant impacts on air quality and the Earth's radiative balance. While natural ecosystems are known to be major sources of VOCs, primarily due to vegetation, soils, an important component of these ecosystems, have received relatively less attention as potential sources and sinks of VOCs. In this study, soil samples were collected from two temperate ecosystems: a beech forest and a heather heath, and then sieved, homogenized, and incubated under various controlled conditions such as different temperatures, oxic vs. anoxic conditions, and different ambient VOC levels. A dynamic flow-through system coupled to a proton transfer reaction-time of flight-mass spectrometry (PTR-ToF-MS) was used to measure production and/or uptake rates of selected VOCs, aiming to explore the processes and their controlling mechanisms. This dataset therefore is collected from these experiments. It includes the raw flux data and figure source data associated with a peer-reviewed publication in Soil Biology & Biochemistry at <a href="https://doi.org/10.1016/j.soilbio.2023.109153">https://doi.org/10.1016/j.soilbio.2023.109153</a>. Overall, our results showed that these soils were natural sources of a variety of VOCs, and the strength and profile of these emissions were influenced by soil biogeochemical properties (e.g. moisture, soil organic matter), oxic/anoxic conditions, and temperature. The soils also acted as sinks for most VOCs when VOC substrates at parts per billions levels (ranging between 0.18-68.65 ppb) were supplied to the headspace of the enclosed soils, and the size of the sink corresponded to the amount of VOCs available in the ambient air. Temperature-controlled incubations and glass bead simulations indicated that the uptake of VOCs by soils was likely driven by microbial metabolism, with a minor contribution from physical adsorption to soil particles. In conclusion, our study suggests that soil uptake of VOCs can mitigate the impact of other significant VOC sources in the near-surface environment and potentially regulate the net exchange of these trace gases in ecosystems. Should you have any questions regarding the dataset, please free feel to contact Yi jiao at yi.jiao@bio.ku.dk or Prof. Rinnan at riikkar@bio.ku.dk

opencc-zeroMay 2021View details →

IODP Expedition 382 Sample report

Report includes detailed information about samples taken for testing: location/depth, type/form factor, test, request number, and database identifier.

opencc-by-4.0Jul 2023View details →

Discrete Flow Cytometry of Underway Samples from TN414 Using a BD Influx Cell Sorter

The dataset consists of BD Influx-based analysis of phytoplankton populations from discrete flow cytometry data collected underway during the transit from Fiji to New Zealand (TN414) in the South Pacific Ocean. The data consists of cell abundance, cell size (equivalent spherical diameter), carbon quota, and carbon biomass for picophytoplankton populations, namely the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (<5 μm ESD). Time is in UTC format, latitude and longitude are in decimal degrees, and depth is in meters. Further information can be found here: https://github.com/fribalet/FCSplankton

(EMPIR 19ENG06 HEFMAG) Data sets of measurements of magnetic loss and complex permeability on amorphous and nanocrystalline samples up to the MHz range

We measured the magnetic losses and the complex permeability of amorphous and nanocrystalline ribbons from DC to 1 GHz by combined application of fluxmetric and transmission line methods. Two transverse field annealed Co-based amorphous alloys, ~13 µm and ~25 µm tick and two nanocrystalline Finemet type alloys, ~13 µm and ~20 µm tick, endowed with defined transverse magnetic anisotropy, were characterized.

opencc-by-4.0Jan 1993View details →

Spearfish Sample Database

The spearfish sample database is being distributed to provide users with a solid database on which to work for learning the tools of GRASS. This document provides some general information about the database and the map layers available. With the release of GRASS 4.1, the GRASS development staff is pleased to announce that the sample data set spearfish is also being distributed. The spearfish data set covers two topographic 1:24,000 quads in western South Dakota. The names of the quads are Spearfish and Deadwood North, SD. The area covered by the data set is in the vicinity of Spearfish, SD and includes a majority of the Black Hills National Forest (i.e., Mount Rushmore). It is anticipated that enough data layers will be provided to allow users to use nearly all of the GRASS tools on the spearfish data set. A majority of this spearfish database was initially provided to USACERL by the EROS Data Center (EDC) in Sioux Falls, SD. The GRASS Development staff expresses acknowledgement and thanks to: the U.S. Geological Survey (USGS) and EROS Data Center for allowing us to distribute this data with our release of GRASS software; and to the U.S. Census Bureau for their samples of TIGER/Line data and the STF1 data which were used in the development of the TIGER programs and tutorials. Thanks also to SPOT Image Corporation for providing multispectral and panchromatic satellite imagery for a portion of the spearfish data set and for allowing us to distribute this imagery with GRASS software. In addition to the data provided by the EDC and SPOT, researchers at USACERL have dev eloped several new layers, thus enhancing the spearfish data set. To use the spearfish data, when entering GRASS, enter spearfish as your choice for the current location.   This is the classical GRASS GIS dataset from 1993 covering a part of Spearfish, South Dakota, USA, with raster, vector and point data. The Spearfish data base covers two 7.5 minute topographic sheets in the northern Black Hills of South Dakota, USA. It is in the Universal Transverse Mercator Projection. It was originally created by Larry Batten while he was with the U. S. Geological Survey's EROS Data Center in South Dakota. The data base was enhanced by USA/CERL and cooperators. <pre> </pre>

Data for figures in "Next-generation ice nucleating particle sampling on aircraft: Characterization of the High-volume flow aERosol particle filter sAmpler (HERA)"

Atmospheric ice nucleating particle (INP) concentration data from the free troposphere are sparse, but urgently needed to understand vertical transport processes of INPs and their influence on cloud formation and properties. Here, we introduce the new High-volume flow aERosol particle filter sAmpler (HERA) which was specially developed for installation on research aircraft and subsequent offline INP analysis. HERA is a modular system constisting of a sampling unit and a powerful pump unit and has several features which were integrated specifically for INP sampling. Firstly, the pump unit enables sampling at flow rates exceeding 100 L min−1, which is well above typical flow rates of aircraft INP sampling systems described in the literature (~10 L min−1). Consequently, required sampling times to capture rare, high-temperature INPs (≥-15 °C) are reduced in comparison to other systems and potential source regions of INPs can be confined more precisely. Secondly, the sampling unit is designed as a seven-way valve, enabling switching between six filter holders and a bypass with one filter being sampled at a time. In contrast to other aircraft INP sampling systems, the valve position is controlled remotely via software so that manual filter changes in-flight are eliminated and the potential for sample contamination is decreased. This design is compatible with a high degree of automation, i.e., triggering filter changes depending on parameters like flight altitude, geographical location, temperature, or time. In addition to the design and principle of operation of HERA, this paper presents laboratory characterization experiments with size-selected test substances, i.e., SNOMAX® and Arizona Test Dust. The particles were sampled on filters with HERA, varying either particle diameter (300 nm to 800 nm) or flow rate (10 L min−1 to 100 L min−1) between experiments. The subsequent offline INP analysis showed good agreement with literature data and comparable sampling efficiencies for all investigated particle sizes and flow rates. Furthermore, the deposition efficiency of atmospheric INPs in HERA was compared to a straightforward filter sampler and good agreement was found. Finally, results from the first campaign of HERA on the High Altitude and LOng range research aircraft (HALO) demonstrate the functionality of the new system in the context of aircraft application. The given csv files contain the data for reproducing the figures in the publication. The data structure of the csv files is explained in the README file.

opencc-by-4.0Jan 2023View details →

4D STEM dataset - DECTRIS ARINA detector - SmB6 sample

4D STEM dataset recorded with DECTRIS ARINA detector. Sample is a monocrystalline domain of SmB6 oriented along the <110> zone axis, prepared with FIB by Elisabeth Mueller at PSI. Data collection was with a probe-corrected 200kV TEM microscope, supported by Mingjian Wu at FAU. Further experimental parameters are listed with the included txt file. Data visualization and processing can be done with NOVENA software, freely available at DECTRIS website. Alternatively, the files can be opened using a HDF5 file reader.

opencc-by-4.0Jul 2020View details →

FIGURE 2 Different habitat types that were sampled during the 2018 in Taxonomy, ecology and distribution of the mosquitoes (Diptera: Culicidae) of the Dutch Leeward Islands, with a key to the adults and fourth instar larvae

FIGURE 2 Different habitat types that were sampled during the 2018 survey. Natural habitats: a) Bromelias, b) inflorescences of Heliconia sp. c) rock pool/beach pool, d) crab hole; Semi-natural habitats: e) temporary/permanent pond, Artificial habitats: f) bucket, g) well, h) car tire, i) abandoned swimming pool, j) cistern. Photos courtesy of K.-D.B. Dijkstra, J.G. van der Beek and K. Hulshof.

opencc-by-4.0Nov 2022View details →

2DGCTOF Human Skin Scent Samples Dataset

The dataset contains 971 human scent samples obtained by the instrumentation of two-dimensional gas chromatography coupled with a Time-of-Flight mass spectrometer.     45 female (Codes F1-F45) and 40 male (Codes M1-M40) volunteers participated in a sample collection procedure. Each volunteer provided a sample at least ten times. Due to the maintenance of the machine, the dataset is further divided into 3 subgroups: System_1 (415 samples), System_2 (280 samples), and System_3 (276 samples).     Each sample was processed in ChromaToF(version 4.72.0.0) by LECO Corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500. In addition, the samples were also processed manually (504 samples, volunteers F1-F20 and M1-M20), in which 70 selected compounds in human scent chromatograms were monitored.     Preprocessed samples were exported and stored in text files (.txt) with a tabulator as a separator.     In addition, questionnaires were collected for each sample, in which the volunteers answered questions about sex, race, age, hair and eye color, height, weight, health status, menstrual cycle, medications, physical and mental status, etc.

Fig. 7 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020

Fig. 7. The growth in the list of tintinnid species reported from the Chukchi Sea beginning with the first sampling in 1953 up to and including our 2020 sampling. The list of the 60 species now known for Chukchi Sea, with sampling year first found for each species, and the reference, is given in the supplementary file. Data are from Bursa 1963, Matsuno et al. 2014, Li et al. 2016, Yokoi et al. 2016, Dolan et al. 2017, Xu et al. 2018, Wang et al. 2019, and this study.

Fig. 2. Sampling locations, 2011–2020 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020

Fig. 2. Sampling locations, 2011–2020 in Chukchi Sea. See supplementary file for details of station locations and sampling dates. Colored zones indicate water column depth.

Fig. 5 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020

Fig. 5. Morphological variability of Acanthostomella norvegica found in a single sample. The 18 cells shown were the first properly orientated cells encountered in sample aliquots from Station 17 of the 2017 cruise. Certain individuals shown (e.g., A and K) have lorica morphologies resembling those of a co-gener A. gracilis, first described as a variety of A. norvegica as they differ only in the near absence of an aboral horn. As shown here, the aboral point or horn appears to be quite variable.

Fig. 1 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020

Fig. 1. Examples of the distinct sea ice conditions in August encountered through the 10 cruises. Color-coding indicates areas of sea ice coverage varying from 100% to 0 %, or open water. The year 2012 was a record year of low sea ice extent while 2020 was year of sea ice extent more common in recent years.