Filter Results
1718747 results
  • This dataset contains thermographic and visible spectrum images of buried mines at different depths.
    Data Types:
    • Dataset
    • File Set
  • Corrosion and Electrochemical Impedance Spectroscopy data of Copper in 1.0 M HCl in the presence and absence of corrosion inhibitors gum arabic, sodium alginate and their blends. The data set also contains the XRD data and SEM image of polymer blends of gum arabic and sodium alginate. SEM and AFM images of the Copper coupons before and after electrochemical corrosion studies are also presented.
    Data Types:
    • Image
    • Dataset
    • Text
  • Unpreprocessed pixel-wise spectra of milk powder, rice flour and soy flour. Three folders are included, with the name containing milk powder, rice flour and soy flour. In each folder, 36 .csv files containing 10,000 pixel-wise spectra can be found. Each row is a pixel sample, each column is a wavelength variable.
    Data Types:
    • Dataset
    • File Set
  • supplementary-fig. 1. Spectra of the leader tip for As, Fs and Gs at different time. (1)-(12) the spectra of leader As. (13)-(22) the spectral images of leader Fs. (13a)-(22a) the corresponding spectra of leader Fs. (23)-(28) the spectral images of leader Gs. (23a)-(28a) the corresponding spectra of leader Gs. supplementary-fig. 2. Spectra of the dart stepped leader tip for Bds, Cds and dart leader Id and Kd at different time. (1)-(9) the spectra of dart stepped leader Bds, (10)-(14) the spectra of dart stepped leader Cds, (15)-(20) the spectra of dart leader Id, (21)-(26) the spectral images of dart leader Kd. (21a)-(26a) the corresponding spectra of dart leader Kd.
    Data Types:
    • Image
    • Dataset
  • This dataset is related to the research article entitled "A system of automatic recognition of species of Brazilian flora based on textural characteristics of macroscopic images of wood", by Deivison Venicio Souza, Joielan Xipaia Santos, Helena Cristina Vieira, Tawani Lorena Naide, Silvana Nisgoski and Luiz Eduardo S Oliveira accepted in the journal Wood Science and Technology. Wood samples were from the collection of the Wood Anatomy and Quality Laboratory (LANAQM) of Federal University of Paraná (UFPR), located in Curitiba, Paraná. The wood samples’ transversal surfaces were sanded with a 120 sandpaper and macroscopic images of 46 species were taken with a Zeiss Discovery V 12 stereomicroscope, with size of 2080 × 1540 pixels and 10× magnification. The captured images have a resolution of 150 dpi. A total of 1,901 macroscopic images were obtained. Of the 46 species used in this study, 7 are on Brazil’s official list of endangered species. More specifically, the species Araucaria angustifolia and Ocotea porosa are classified in the category “Endangered”, Cedrela fissilis, Bertholletia excelsa, Mezilaurus itauba and Swietenia macrophylla are part of the “Vulnerable” group, and Euxylophora paraensis is considered “Critically Endangered”.
    Data Types:
    • Image
    • Dataset
  • In considering route optimization at a series of express stages from pickup to delivery via the intercity linehaul, we introduce the two-echelon vehicle routing problem with satellite bi-synchronization (2E-VRP-SBS) from the perspective of modeling the routing problems of two-echelon networks. The 2E-VRP-SBS involves the inter-satellite linehaul on the first echelon, and the pickups from senders to origin satellites (i.e., satellites for cargo collection) and deliveries from destination satellites (i.e., satellites for cargo deliveries) to receivers on the second echelon. The 2E-VRP-SBS integrates satellite bi-synchronization constraints, multiple vehicles, and time window constraints on the two-echelon network and aims to find cost-minimizing routes for various types of trucks. Small-scale instances. Considering the computing abilities of CPLEX 12.4 indicated by some computational trials, there are one depot, three origin satellites, and three destination satellites on the first echelon. The number of senders or receivers served by an origin satellite or a destination satellite is assumed to be the same, and the number of senders or receivers served by a satellite is 5, 6, 7, 8, or 9. Each small-scale instance is denoted by num_os-num_ds-num_gc-sn, where num_os or num_ds denotes the number of origin satellites or destination satellites, num_gc is the number of senders or receivers served by a satellite, sn is the instance sequence for the same num_os, num_ds, and num_gc, and sn is 1, 2, 3, 4, 5, 6, 7, 8, or 9. We designed the large-scale instances by referring to data provided by a logistics company in China. Referring to the locations of 17 distribution-centers (DCs), which are located in 17 prefecture-level cities in Shandong province, we designed the nodes on the first echelon as follows. First, it is assumed that each DC can be used as the depot, i.e., the depot location is the same as one of the DC locations. The large-scale instances are distinguished by the location of the depot. Second, there are 17 origin satellites with different locations, and the location of an origin satellite is the same as the location of a DC. Third, there are 17 destination satellites with different locations. The location of a destination satellite is the same as the location of a DC, and the location of an origin satellite should not be the same as the location of a destination satellite, if there are inter-satellite linehaul demand between the origin satellite and the destination satellite. Generally speaking, we designed 17 large-scale instances that are distinguished by the location of the depot. The number of senders or receivers served by an origin satellite or a destination satellite is assumed to be the same. The number of senders or receivers served by a satellite is 120. The sending-receiving relationships between senders served by an origin satellite and receivers served by destination satellites are randomly generated.
    Data Types:
    • Dataset
    • Document
    • File Set
  • This dataset is composed of 58 apple tree images. They were taken during full bloom in an apple orchard located at National Institute of Agricultural Technology (INTA) Experimental Station, General Roca, Argentina (39° 1’ 34’’ S; 67° 44’ 24.6’’ W).The orchard was established in 2003 with ‘Red Chief’ cultivar apple trees grafted on MM111 rootstock .Trees were planted in a total area of 0.8 ha at a distance of 1.5m between trees by 4m between rows and were trained as espalier. A few days before full bloom, images were obtained from 32 trees, under two conditions: i) natural daylight between 10 am and 13 pm, ii) at night with the artificial flash light of the camera. A black curtain was unfolded behind the trees when images were obtained under daylight conditions in order to avoid interference from neighboring trees. All images were taken with an RGB digital camera (14.1 MP) at approximately 3.0 m from the tree in a 90° angle to the row. An object of known dimensions (a 15x15 cm square) was placed in each tree as a scale reference. Simultaneously, all the flowers on each tree were manually counted. Images taken by using different proximal sensors can be used to estimate the number of flowers or fruits in trees. The accuracy of those methods have been studied and tested by many researchers during the past few years with encouraging results. Since manual counting method in fruit crops is a time-consuming labor and also lead to inaccurate results, image analysis could be used as an alternative procedure. The use of images could provide reliable and consistent data.
    Data Types:
    • Image
    • Dataset
  • RNA-seq transcription data and cliniacl infornamtion concering colon cancer
    Data Types:
    • Dataset
    • File Set
  • National Family Health Survey, 2015–16, consisting of nationally representative sample surveys. A total of 247,743 living children (0-59 months) were utilized from the National Family Health Survey (NFHS)-4 from different pre-existing morbidities and indoor air pollution characteristics of under-five children in the states and union territories of India (IIPS & ICF, 2017). The data used for this study were retrieved from the public domain after describing the objective of the study.
    Data Types:
    • Dataset
    • File Set
  • En se basant sur les résultats de recherches réalisés ces derniers années, il a été démontré que le Ratio de Concentration présente une influence sur la performance global des collecteurs solaires cylindro-parabolique. Notament ce paramètre influe sur l'entropie et l'efficience thermique. De ce fait, sa variation pourait également avoir des conséquences sur l'éfficience optique du concentrateur. C'est a juste titre qu'il a été entrepris cette étude qui vise a comparer l'éfficience optique de trois modèles de concentrateurs distingués par trois differentes ratio de concentration en les simulant numeriquement para la méthode MCRT atravers le logiciel SolTrace. En effet, les trois valeurs du ratio de concentretion e les données de simulation ont été obtenus en optimisant les paramètres géométriques e optiques du concentrateur par le biais des équations mathématiques qui gouvernent son fonctionement. La simulation numérique a été fait en maintenant la distance du foyer constante a 1,75. Après la simulation numérique, les resultats obtenus sont présentés sous deux banques de données pour chaque modèle de collecteur : le flux de chaleur autour de du tube absorbeur e les points dínterssections des rayons solaires avec les éléments du concentrateur.
    Data Types:
    • Other
    • Image
    • Tabular Data
    • Dataset