Texas A&M University Dataverse

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41 to 50 of 63 Results

Geoffrey Roest Dataverse(Texas A and M University) Sep 13, 2017 This dataverse serves as a repository for data used in the following manuscript: Quantifying alkane emissions in the Eagle Ford Shale using boundary layer enhancement, G.S. Roest and G.W. Schade, Atmospheric Chemistry and Physics 17, 1-14, 2017.
Gang Zhao's(Texas A&M University) Jan 8, 2019
Forensic Science Study Dataverse(Texas A and M University) Jun 29, 2019 Data from 2016-2019 Forensic Science Study Grant.
FLUD Research Group DataVerse(Texas A and M University) Jun 8, 2020 This DataVerse contains shared data from projects conducted by the Fluvial Landscape Dynamics (FLUD) research group.
Feed the Future Innovation Lab for Small Scale Irrigation Dataverse(Texas A and M University) Jun 12, 2017 The Feed the Future Innovation Lab for Small-Scale Irrigation is a five-year project that aims to benefit farmers of Ethiopia, Ghana and Tanzania by improving effective use of scarce water supplies through interventions in small-scale irrigation. It is a part of the U.S. Governme...
Experimental Data for "Time Dependent Consolidation in Porous Geomaterials at In Situ Conditions of Temperature and Pressure"(Texas A and M University) Feb 2, 2018 This dataverse contains experimental data for "Time Dependent Consolidation in Porous Geomaterials at In Situ Conditions of Temperature and Pressure"
Ethiopia Dataverse(Texas A and M University) Jun 12, 2017Feed the Future Innovation Lab for Small Scale Irrigation Dataverse
Environmental Analyses(Texas A and M University) Jun 8, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas This dataverse contains data inputs and products from two complimentary analyses: a spatial analysis and a machine learning approach. Both analyses were geared towards understanding relative importance of ecological factors within the Mission River Floodplain. These datasets are...
DLREP Dataverse Jul 14, 2017 Proposed by: Prof. Dr. Erhard Rahm, Hanna Köpcke, Dr. Andreas Thor. This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year. There are 3 CSV files in this zip archive.
Disaster and Environmental Vulnerability - NIH Superfund(Texas A and M University) Oct 20, 2017

Geoffrey Roest Dataverse(Texas A and M University)

Sep 13, 2017

This dataverse serves as a repository for data used in the following manuscript: Quantifying alkane emissions in the Eagle Ford Shale using boundary layer enhancement, G.S. Roest and G.W. Schade, Atmospheric Chemistry and Physics 17, 1-14, 2017.

Gang Zhao's(Texas A&M University)

Jan 8, 2019

Forensic Science Study Dataverse(Texas A and M University)

Jun 29, 2019

Data from 2016-2019 Forensic Science Study Grant.

FLUD Research Group DataVerse(Texas A and M University)

Jun 8, 2020

This DataVerse contains shared data from projects conducted by the Fluvial Landscape Dynamics (FLUD) research group.

Feed the Future Innovation Lab for Small Scale Irrigation Dataverse(Texas A and M University)

Jun 12, 2017

The Feed the Future Innovation Lab for Small-Scale Irrigation is a five-year project that aims to benefit farmers of Ethiopia, Ghana and Tanzania by improving effective use of scarce water supplies through interventions in small-scale irrigation. It is a part of the U.S. Governme...

Experimental Data for "Time Dependent Consolidation in Porous Geomaterials at In Situ Conditions of Temperature and Pressure"(Texas A and M University)

Feb 2, 2018

This dataverse contains experimental data for "Time Dependent Consolidation in Porous Geomaterials at In Situ Conditions of Temperature and Pressure"

Ethiopia Dataverse(Texas A and M University)

Jun 12, 2017Feed the Future Innovation Lab for Small Scale Irrigation Dataverse

Environmental Analyses(Texas A and M University)

Jun 8, 2020Impacts of Downed Trees on hydrologic surface connectivity within the Mission River floodplain in Southeast Texas

This dataverse contains data inputs and products from two complimentary analyses: a spatial analysis and a machine learning approach. Both analyses were geared towards understanding relative importance of ecological factors within the Mission River Floodplain. These datasets are...

DLREP Dataverse

Jul 14, 2017

Proposed by: Prof. Dr. Erhard Rahm, Hanna Köpcke, Dr. Andreas Thor. This data set was taken from the Benchmark datasets for entity resolution web page. It contains bibliographic data, with 4 attributes: title, authors, venue, year. There are 3 CSV files in this zip archive.

Disaster and Environmental Vulnerability - NIH Superfund(Texas A and M University)

Oct 20, 2017

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