Contributors: Ryan Watkins
... Version 1.0, September 9, 2019 Purpose: Created as part of a project funded by NASA’S Lunar Data Analysis Program (LDAP), the purpose of this dataset is to provide locations and diameters of boulders around small, young impact craters on the Moon. These boulder counts were conducted as part of a study aimed at determining regolith production rates and assessing landing site hazards, as discussed in the associated publications. Researchers are encouraged to read the publications and data description document to understand how the data was acquired and used. This database contains boulder distributions around small (< 1 km), young (< 200 Ma) lunar impact craters located near spacecraft landing sites. The most up-to-date database contains boulder diameters and coordinates for counts around Surveyor (Apollo 12), Cone (Apollo 14), North Ray (Apollo 16), South Ray (Apollo 16), Camelot (Apollo 17), and Zi Wei (Chang’e-3) craters. Boulders were manually identified and measured on Lunar Reconnaissance Orbiter Camera (LROC) Narrow Angle Camera (NAC) images (Robinson et al., 2010) at scales of ~0.5-2 m/pixel. LROC NAC images allow for boulders ~1-2m in size and larger to be identified and measured. The tools for measuring boulders were CraterTools (Kneissl et al., 2011) and Crater Helper Tools (Nava, 2011), both developed for the ArcMap GIS platform. These boulder distributions are being used to understand boulder degradation rates on the lunar surface, and to assess landing site hazards for future surface missions to the Moon. This dataset is being archived in Mendeley Data and at the Planetary Data System (PDS) Cartography and Imaging Node for use in future boulder distribution and landing hazard studies. Future boulder counts and any refinements to existing measurements will be uploaded into subsequent versions of this dataset here and at the PDS IMG Annex: https://astrogeology.usgs.gov/search/map/Moon/Research/Regolith/lunar_boulder_data_bundle
Contributors: Barnabé Walheer
... Manufacturing sector in China - ownership
Contributors: Md. Asifuzzaman Jishan, Khan Raqib Mahmud, Abul Kalam Al Azad
... We represented a new Bangla dataset with a Hybrid Recurrent Neural Network model which generated Bangla natural language description of images. This dataset achieved by a large number of images with classification and containing natural language process of images. We conducted experiments on our self-made Bangla Natural Language Image to Text (BNLIT) dataset. Our dataset contained 8,743 images. We made this dataset using Bangladesh perspective images. We used one annotation for each image. In our repository, we added two types of pre-processed data which is 224 × 224 and 500 × 375 respectively alongside annotations of full dataset. We also added CNN features file of whole dataset in our repository which is features.pkl.
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Contributors: Batuhan Gündogdu
... This is a Semaphore Flag Signaling Dataset prepared by Midshipmen of Naval Academy. It includes 20 samples for each semaphore flag in the English alphabet, taken by 4 different persons
Data for: Non-target and suspected-target screening for potentially hazardous chemicals in food contact materials: investigation of paper straws
Contributors: Janis Rusko
... Briefly the data contains: - Average and individual spectra of the compounds identified in the study - The compiled suspect candidate database, used for non-target screening - Excel workbook for the analysis of retention time outliers - The R script implemented for the mutagenicity and carcinogenicity analysis via the battery of (Q)SAR tools - The output of the R script as an Excel workbook
Data for: MAPPING CHARACTERISTICS OF AT-RISK POPULATION TO DISASTERS IN THE CONTEXT OF BRAZILIAN EARLY WARNING SYSTEM
Contributors: Regina Célia dos Santos Alvalá, Mariane Assis Dias, Silvia Saito, Claudio Stenrer, Cayo Franco, Pilar Amadeu, Julia Ribeiro, Rodrigo Santana, Carlos Nobre
... This dataset includes 6.437 polygons of BATER from 825 brazilian municipalites with landslides and hydrological risk areas that was used to characterize the at-risk population in this present article. Also is available the data dictionary that describes the variables about the residents and households. This datased was produced in 2018 by CEMADEN and IBGE, as detailed in the article. It is available for everyone in the link: https://www.ibge.gov.br/apps/populacaoareasderisco/
Contributors: Kuo Di
... Rock particle (5mm-60mm) images. Size features extracted from that images.
Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants
Contributors: Colin K. Khoury, Daniel Amariles, Jonatan Soto, Maria Victoria Diaz, Steven Sotelo, Chrystian C. Sosa, Julian Ramírez-Villegas , Harold Achicanoy, Nora P. Castañeda-Álvarez , Blanca León
... The datasets presented here are related to the research article entitled “Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets” (Khoury et al., 2019). The indicator methodology includes five main steps, each requiring and producing data, which are fully described and available here. These data include: species taxonomy, uses, and general geographic information (dataset 1); species occurrence data (dataset 2); global administrative areas data (dataset 3); eco-geographic predictors used in species distribution modeling (dataset 4); a world map raster file (dataset 5); species spatial distribution modeling outputs (dataset 6); ecoregion spatial data used in conservation analyses (dataset 7); protected area spatial data used in conservation analyses (dataset 8); and countries, sub-regions, and regions classifications data (dataset 9). These data are available at http://dx.doi.org/10.17632/2jxj4k32m2.1. In combination with the openly accessible methodology code (https://github.com/CIAT-DAPA/UsefulPlants-Indicator), these data facilitate indicator assessments and serve as a baseline against which future calculations of the indicator can be measured. The data can also contribute to other species distribution modeling, ecological research, and conservation analysis purposes. Khoury CK, Amariles D, Soto JS, Diaz MV, Sotelo S, Sosa CC, Ramírez-Villegas J, Achicanoy HA, Velásquez-Tibatá J, Guarino L, León B, Navarro-Racines C, Castañeda-Álvarez NP, Dempewolf H, Wiersema JH, and Jarvis A (2019) Comprehensiveness of conservation of useful wild plants: an operational indicator for biodiversity and sustainable development targets. Ecological Indicators 98: 420-429. doi: 10.1016/j.ecolind.2018.11.016. Available online at: https://doi.org/10.1016/j.ecolind.2018.11.016 Khoury CK, Amariles D, Soto JS, Diaz MV, Sotelo S, Sosa CC, Ramírez-Villegas J, Achicanoy HA, Castañeda-Álvarez NP, León B, and Wiersema JH (2019) Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants. Data in Brief. doi: 10.1016/j.dib.2018.11.125.
A Mathematical Model for the Berth Allocation Problem with Variable Service Time and Continuous Time Horizon
Contributors: Bruno Luís Hönigmann Cereser
... Tests, Results and Codes of the paper "A Mathematical Model for the Berth Allocation Problem with Variable Service Time and Continuous Time Horizon".
A Mathematical Model for the Berth Allocation Problem with Machine Patterns and Continuous Time Horizon
Contributors: Bruno Luís Hönigmann Cereser
... Intances, codes and results.