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1,081 to 1,090 of 1,182 Results
Use of Open Government Data in the Brazilian States and Federal District Public Administrations
Dec 19, 2022 - Centro de Investigação Algoritmi
Kawashita, Ilka; Baptista, Ana Alice; Soares, Delfina Sá, 2022, "Use of Open Government Data in the Brazilian States and Federal District Public Administrations", https://doi.org/10.34622/datarepositorium/UY7MFA, Repositório de Dados da Universidade do Minho, V2, UNF:6:zmDwdTT7q++DhZWZaxMfQA== [fileUNF]
Each row of the dataset lists the responses to a questionnaire about the use (consumption) of open government data (OGD) in the Brazilian states and federal district public administrations. The questionnaire was applied between June 10 and July 9, 2021, in a sample of focal point...
AboutInterviewsExtracts_OGDUseBR_StatesDF.tab
Tab-Delimited - 3.0 KB - MD5: 26cf7f45b767515da063f020149e62ce
Metadata on the interviews extracts about OGD use
InterviewsExtracts_OGDUseBR_StatesDF_Dataset.tab
Tab-Delimited - 56.7 KB - MD5: cc32e067943e5f3ba38d6eb73cd86ac8
Extract of interviews about OGD use with Brazilian States and Federal District
Mathematical model for soil bioremediation contaminated by hydrocarbons
Sep 13, 2022 - Centro de Engenharia Biológica
Martins, Gilberto; Campos, Sara; Ferreira, Ana; Castro, Rita; Duarte, Salomé; Cavaleiro, Ana Júlia, 2022, "Mathematical model for soil bioremediation contaminated by hydrocarbons", https://doi.org/10.34622/datarepositorium/2BUM2J, Repositório de Dados da Universidade do Minho, V1
This is a mathematical model developed to assist in the prediction and decision making regarding the in situ bioremediation of hydrocarbon-contaminated soils. The model considered the most relevant processes involved in mass transfer and biodegradation (aerobic, anoxic and anaero...
hydrocarbon soil model_v30_08_2022.aqu
Unknown - 39.3 KB - MD5: 1fe37d127c4996f4d6806b6177651fc3
AQUASIM executable file of the soil model
hydrocarbon soil model_v30_08_2022.prn
Unknown - 67.4 KB - MD5: bc9179fb5b2b00cbbd4b748063651dd3
This file presents the description of all variables, processes, compartments and plots.
Readme.txt
Plain Text - 1.4 KB - MD5: 20a4eaae812bb4b592e5df7223918b80
Readme file describing the steps for model implementation.
MoLa InVicon AR: Dataset for Action Recognition
Jun 14, 2022 - Centro de Investigação Algoritmi
R. P. Rodrigues, Nelson; M. C. da Costa, Nuno; Novais, Rita; Fonseca, Jaime; University of Minho; Borges, Joao, 2022, "MoLa InVicon AR: Dataset for Action Recognition", https://doi.org/10.34622/datarepositorium/WWUTUT, Repositório de Dados da Universidade do Minho, V2
This system is then spatially and temporally calibrated with the camera sensor, automatically obtaining image data with (multi-person) pose annotations (2D and 3D). Finally, we demonstrate the feasibility of using the system’s generated data (which was made publicly available), t...
INVICON.zip.001
Unknown - 1000.0 MB - MD5: 2cbe52e4430f6e0f17199cecaea1f057
INVICON.zip.002
Unknown - 1000.0 MB - MD5: b526f297b0da9d6ee9d051b515c93833
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