cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3471960
title: Self-Healing Concrete using Encapsulated Bacterial Spores in a Simulated Hot Subtropical Climate

description: Corresponding data set for Tran-SET Project No. 18CLSU02. Abstract of the final report is stated below for reference: "Bacterial concrete has become one of the most promising self-healing alternatives due to its capability to seal crack widths through microbial induced calcite precipitation (MICP). In this study, two bacterial strains were embedded at varying dosages (by weight of cement) in concrete. Beam specimens were used to identify the maximum crack-sealing efficiency, while cylinder samples were used to determine their effects on the intrinsic mechanical properties, as well as its stiffness recovery over time after inducing damage. The concrete specimens were cured in wet-dry cycles to determine their feasibility in Region 6. The results showed that the specimen groups with the highest calcium alginate concentrations (including the control specimens with embedded alginate beads but no bacteria) resulted in higher increases in stiffness recovery. Similarly, the beam samples containing alginate beads (also including the Control 3%C specimen group) had superior crack-healing efficiencies than the control samples without alginate beads (Control NC). This was attributed to the fact that the alginate beads act as a reservoir that can further enhance the autogenous healing capability of concrete. Overall, further research is recommended to verify whether the promising results reported in the literature (relating to self-healing mortar) correlate with concrete proportionally. In addition, there is a need to explore the factors that can maximize the self-healing mechanism of bio concrete through MICP, whether an alternative encapsulation mechanism, nutrient selection, curing regime, or bacterial strain is desired."
description: Tran-SET Project No. 18CLSU02
DOI: 10.5281/zenodo.3471961
title: Self-Healing Concrete using Encapsulated Bacterial Spores in a Simulated Hot Subtropical Climate

description: Corresponding data set for Tran-SET Project No. 18CLSU02. Abstract of the final report is stated below for reference: "Bacterial concrete has become one of the most promising self-healing alternatives due to its capability to seal crack widths through microbial induced calcite precipitation (MICP). In this study, two bacterial strains were embedded at varying dosages (by weight of cement) in concrete. Beam specimens were used to identify the maximum crack-sealing efficiency, while cylinder samples were used to determine their effects on the intrinsic mechanical properties, as well as its stiffness recovery over time after inducing damage. The concrete specimens were cured in wet-dry cycles to determine their feasibility in Region 6. The results showed that the specimen groups with the highest calcium alginate concentrations (including the control specimens with embedded alginate beads but no bacteria) resulted in higher increases in stiffness recovery. Similarly, the beam samples containing alginate beads (also including the Control 3%C specimen group) had superior crack-healing efficiencies than the control samples without alginate beads (Control NC). This was attributed to the fact that the alginate beads act as a reservoir that can further enhance the autogenous healing capability of concrete. Overall, further research is recommended to verify whether the promising results reported in the literature (relating to self-healing mortar) correlate with concrete proportionally. In addition, there is a need to explore the factors that can maximize the self-healing mechanism of bio concrete through MICP, whether an alternative encapsulation mechanism, nutrient selection, curing regime, or bacterial strain is desired."
description: Tran-SET Project No. 18CLSU02
DOI: 10.17632/nkgtkfr8tb.1
title: Data for: An Actigraphy-Based Comparison of Shelter Dog and Owned Dog Circadian Patterns

description: This file contains data about 19 owned dogs' and 19 shelter dogs' activity patterns.
DOI: 10.5281/zenodo.3471972
title: Use of Bagasse Ash as a Concrete Additive for Road Pavement Application

description: Corresponding data set for Tran-SET Project No. 18CLSU03. Abstract of the final report is stated below for reference: "The objective of this study was to evaluate the use of sugarcane bagasse ash (SCBA) as a partial replacement of cement in concrete for road pavement application. The study explored the pozzolanic activity of SCBA produced from three different processing methodologies (i.e., raw SCBA, controlled SCBA and post-processed SCBA). The experimental results revealed that SCBA produced by the controlled burning of sugarcane bagasse fiber (SBF) at 650°C and grinding (C-650), presented the maximum pozzolanic activity. However, this SCBA production process was deemed challenging for large-scale industrial application due to low SCBA yield (i.e., 3 to 6%). On the other hand, post-processing of raw SCBA, by burning at 450°C and grinding (P-450), produced a similar pozzolanic activity to that of SCBA C-650. Moreover, since post-processing of raw SCBA produced a significantly higher SCBA yield (i.e., 85 to 90%) than that of controlled burning of SBF, SCBA P-450 was selected for further investigation in concrete mixtures. The effect of different dosages of P-450 (i.e., 20, 30, and 40% cement replacement by weight) on concrete properties was evaluated. It was determined that concrete mixtures utilizing substitutions of 10% and 20% of cement with SCBA exhibited a similar compressive strength to that of control after 90 days of curing for Class-A and Class-B concretes, respectively. At higher levels of cement replacement, the compressive strength of concrete mixtures decreased proportionally at both, 28 and 90 days of curing; yet, the relative strength gain from 28 to 90 days increased. Furthermore, at 90 days of curing, surface resistivity of SCBA admixed concrete mixtures was superior to that of control for all cases. Finally, a cost analysis showed that a 10% cement replacement with SCBA in concrete could yield a reduction of per lane-mile cost of 0.75%."
description: Tran-SET Project No. 18CLSU03
DOI: 10.5281/zenodo.3471973
title: Use of Bagasse Ash as a Concrete Additive for Road Pavement Application

description: Corresponding data set for Tran-SET Project No. 18CLSU03. Abstract of the final report is stated below for reference: "The objective of this study was to evaluate the use of sugarcane bagasse ash (SCBA) as a partial replacement of cement in concrete for road pavement application. The study explored the pozzolanic activity of SCBA produced from three different processing methodologies (i.e., raw SCBA, controlled SCBA and post-processed SCBA). The experimental results revealed that SCBA produced by the controlled burning of sugarcane bagasse fiber (SBF) at 650°C and grinding (C-650), presented the maximum pozzolanic activity. However, this SCBA production process was deemed challenging for large-scale industrial application due to low SCBA yield (i.e., 3 to 6%). On the other hand, post-processing of raw SCBA, by burning at 450°C and grinding (P-450), produced a similar pozzolanic activity to that of SCBA C-650. Moreover, since post-processing of raw SCBA produced a significantly higher SCBA yield (i.e., 85 to 90%) than that of controlled burning of SBF, SCBA P-450 was selected for further investigation in concrete mixtures. The effect of different dosages of P-450 (i.e., 20, 30, and 40% cement replacement by weight) on concrete properties was evaluated. It was determined that concrete mixtures utilizing substitutions of 10% and 20% of cement with SCBA exhibited a similar compressive strength to that of control after 90 days of curing for Class-A and Class-B concretes, respectively. At higher levels of cement replacement, the compressive strength of concrete mixtures decreased proportionally at both, 28 and 90 days of curing; yet, the relative strength gain from 28 to 90 days increased. Furthermore, at 90 days of curing, surface resistivity of SCBA admixed concrete mixtures was superior to that of control for all cases. Finally, a cost analysis showed that a 10% cement replacement with SCBA in concrete could yield a reduction of per lane-mile cost of 0.75%."
description: Tran-SET Project No. 18CLSU03
DOI: 10.7910/dvn/uvhzgj/yy89ob
title: GISP_Los_Angeles.zip

description: Shapefile
DOI: 10.17632/km482grf7y.1
title: Data for: Impact of anthropogenic sulfate deposition via precipitation on carbonate weathering in a typical industrial city in a karst basin of Southwest China: A case study in Liuzhou

description: A total of 115 atmospheric precipitation samples were collected by Liuzhou Environmental Protection Monitoring (urban area, subscript “P1”) and the Shatang Forest School (suburb, subscript “P2”) from June 2014 to May 2015 (09:00 to 09:00 the next day).A total of 105 river samples were collected in Lutang, Liuzhou Hydrological Station and Luowei, which are located at the Liujiang River entrance (upper reaches, subscript by “R1”), centre (middle reaches, subscript “R2”) and southeast exit of the Liuzhou (lower reaches, subscript “R3”) from June 2014 to May 2015.
DOI: 10.17632/ssnxfwbg67.1
title: Data for: Impact of anthropogenic sulfate deposition via precipitation on carbonate weathering in a typical industrial city in a karst basin of Southwest China: A case study in Liuzhou

description: A total of 115 atmospheric precipitation samples were collected by Liuzhou Environmental Protection Monitoring (urban area, subscript “P1”) and the Shatang Forest School (suburb, subscript “P2”) from June 2014 to May 2015 (09:00 to 09:00 the next day).A total of 105 river samples were collected in Lutang, Liuzhou Hydrological Station and Luowei, which are located at the Liujiang River entrance (upper reaches, subscript by “R1”), centre (middle reaches, subscript “R2”) and southeast exit of the Liuzhou (lower reaches, subscript “R3”) from June 2014 to May 2015.
DOI: 10.7910/dvn/sqmdqz/4tllul
title: assuntos_nome.csv

description: :unav
DOI: 10.7910/dvn/sqmdqz/cxsjoc
title: anda_info.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/jm8vci
title: decisoes.csv

description: :unav
DOI: 10.7910/dvn/sqmdqz/l5gtnn
title: assuntos.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/qbxjwb
title: andamentos.csv

description: :unav
DOI: 10.7910/dvn/uvhzgj/qgxuls
title: GISP_New_York.zip

description: Shapefile
DOI: 10.7910/dvn/uvhzgj/zkrtui
title: GISP_Manila.zip

description: Shapefile
DOI: 10.7910/dvn/sqmdqz/b1payf
title: origem.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/bqsdx0
title: org_julg.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/edgqjv
title: djs.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/ghqosw
title: ocupacoes.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/hhrvec
title: processo.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/khxlf0
title: polos.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/parmhh
title: partes.csv

description: :unav
DOI: 10.7910/dvn/sqmdqz/tyupks
title: relator.tab

description: :unav
DOI: 10.7910/dvn/sqmdqz/wk94ce
title: classes.tab

description: :unav
DOI: 10.7910/dvn/oriik1
title: EEG-EyeBlinks

description: aaaa
DOI: 10.7910/dvn/sqmdqz/dmgy0a
title: _TABELAS.csv

description: :unav
DOI: 10.7910/dvn/sqmdqz/yt7ldg
title: tipo.csv

description: :unav
DOI: 10.6073/pasta/b1a1eabf644972b78b21b70a1fd08923
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.7910/dvn/oriik1/5bgfsv
title: read_data.py

description: :unav
DOI: 10.5281/zenodo.3471975
title: UHPC Shear Keys in Concrete Bridge Superstructures

description: Corresponding data set for Tran-SET Project No. 18CNMS01. Abstract of the final report is stated below for reference: "This research investigated the use of locally produced ultra-high performance concrete (UHPC) as a grouting material to repair deteriorated shear keys. Shear keys are used in adjacent girder superstructures to produce monolithic behavior and load transfer across the structure. Shear key durability is a concern since shear key degradation can jeopardize the integrity of the structure. Transportation agencies have reported that 75% of distress in adjacent girder bridges is due to cracking and de-bonding along shear keys. Previous research has shown that locally produced UHPC has excellent mechanical and durability properties. UHPC has also been shown to have good bonding characteristics that are desirable in a potential grouting material. Several tests were conducted to evaluate the potential of UHPC as a shear key grout material. Bond strength between UHPC grout and substrate concrete was evaluated using slant-shear and direct tension tests. Results showed that adequate bond was achieved at seven days. However, 28-day strengths were less than recommended bond strengths. The low strengths were attributed to the low strength of the substrate concrete. Shrinkage of UHPC grout was also investigated. Total shrinkage was approximately 2000 μstrain with approximately half occurring in the plastic state. Full-scale testing was used to evaluate load-deflection behavior of channel girder assemblages with grouted shear keys. The results showed that UHPC grout and non-shrink grout had similar mechanical performance. Excellent bond was achieved with all grouts, even with minimal surface preparation. In fact, the shear keys remained bonded to the girders even when service load deflections were exceeded and no lateral restraint, such as post-tensioning, was provided. A non-shrink grout slightly outperformed the UHPC grout. While this outperformance of the non-shrink grout may not be significant, it does indicate that UHPC grout does not provide a mechanical benefit over the non-shrink grout."
description: Tran-SET Project No. 18CNMS01
DOI: 10.6073/pasta/14040ee2671d3208947a22057d3da466
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP P-SMAL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.3471974
title: UHPC Shear Keys in Concrete Bridge Superstructures

description: Corresponding data set for Tran-SET Project No. 18CNMS01. Abstract of the final report is stated below for reference: "This research investigated the use of locally produced ultra-high performance concrete (UHPC) as a grouting material to repair deteriorated shear keys. Shear keys are used in adjacent girder superstructures to produce monolithic behavior and load transfer across the structure. Shear key durability is a concern since shear key degradation can jeopardize the integrity of the structure. Transportation agencies have reported that 75% of distress in adjacent girder bridges is due to cracking and de-bonding along shear keys. Previous research has shown that locally produced UHPC has excellent mechanical and durability properties. UHPC has also been shown to have good bonding characteristics that are desirable in a potential grouting material. Several tests were conducted to evaluate the potential of UHPC as a shear key grout material. Bond strength between UHPC grout and substrate concrete was evaluated using slant-shear and direct tension tests. Results showed that adequate bond was achieved at seven days. However, 28-day strengths were less than recommended bond strengths. The low strengths were attributed to the low strength of the substrate concrete. Shrinkage of UHPC grout was also investigated. Total shrinkage was approximately 2000 μstrain with approximately half occurring in the plastic state. Full-scale testing was used to evaluate load-deflection behavior of channel girder assemblages with grouted shear keys. The results showed that UHPC grout and non-shrink grout had similar mechanical performance. Excellent bond was achieved with all grouts, even with minimal surface preparation. In fact, the shear keys remained bonded to the girders even when service load deflections were exceeded and no lateral restraint, such as post-tensioning, was provided. A non-shrink grout slightly outperformed the UHPC grout. While this outperformance of the non-shrink grout may not be significant, it does indicate that UHPC grout does not provide a mechanical benefit over the non-shrink grout."
description: Tran-SET Project No. 18CNMS01
DOI: 10.5281/zenodo.3470323
title: Figures, plotting scripts, and data for "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations"

description: This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations" by Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, and Kyle E. Niemeyer (2019). In addition, the code used to generate the eigenvalues in Table 1 is included. The scripts were run in Matlab 2019a, though none of the versions used should be version-dependent. Furthermore, non-standard functions are included with dependencies hard-coded. We used export_fig (https://github.com/altmany/export_fig) to generate high-quality figures, and redistribute the version used here for reproducibility (export_fig was developed by Oliver J. Woodford and Yair M. Altman, and made available openly under the BSD 3-Clause License). The code included in this dataset is released under the BSD 3-Clause License (see LICENSE.txt for details), other than the source of export_fig, as described. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This material is based upon work supported by the National Science Foundation under Grant No. 1314109-DGE and CBET-1832548. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.3470324
title: Figures, plotting scripts, and data for "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations"

description: This dataset contains the figures, as well as the necessary plotting scripts and data to reproduce them, for the article "A fast, low-cost, and stable memory algorithm for implementing multicomponent transport in direct numerical simulations" by Aaron J. Fillo, Jason Schlup, Guillaume Beardsell, Guillaume Blanquart, and Kyle E. Niemeyer (2019). In addition, the code used to generate the eigenvalues in Table 1 is included. The scripts were run in Matlab 2019a, though none of the versions used should be version-dependent. Furthermore, non-standard functions are included with dependencies hard-coded. We used export_fig (https://github.com/altmany/export_fig) to generate high-quality figures, and redistribute the version used here for reproducibility (export_fig was developed by Oliver J. Woodford and Yair M. Altman, and made available openly under the BSD 3-Clause License). The code included in this dataset is released under the BSD 3-Clause License (see LICENSE.txt for details), other than the source of export_fig, as described. The figures are shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
description: This material is based upon work supported by the National Science Foundation under Grant No. 1314109-DGE. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
DOI: 10.6073/pasta/666c4aa2d6e88d827e0bf285cfca5fe6
title: GIS11: A GIS Coverage Defining Nature Trails on Konza Prairie (1982-present)

description: This dataset defines the nature trails found at Konza Prairie Biological Station (KPBS). The trails data shows locations of the different Konza maintained walking trails including leg distances and loop names. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
DOI: 10.5281/zenodo.3472033
title: Code and Comments Dataset

description: The code and comment data are a compilation of code blocks and their related comments. Doxygen successfully ran on 106,304 different GitHub projects. A total of 16,115,540 code-comment pairs were obtained by running Doxygen on C, C++, Java, and Python projects. The source code in these pairs can be of various granularities: classes, methods, functions, and variables. These data provide an association between source code and a description of that code. The data directory contains one directory for each project downloaded from GitHub. These project directories are named with the GraphQL ID from GitHub's GraphQL API. In each of these GraphQL-ID labeled directories, there is a license.txt, a url.txt, and a derivatives directory. The license.txt contains the license for the original project, the url.txt contains a link to the original project on GitHub, and the derivatives directory contains the output of running Doxygen on the project. The Doxygen output is a json file, structured as a dictionary with a "contents" field, where the value of that field is a list of lists containing 3 elements each. The following is a mock example of that structure: {"contents": [[path1, snippet1, comment1], [path2, snippet2, comment2], ...]}. The "path" is a filepath relative to the original project from which the code and comment were obtained. The "snippet" is the actual body of the source code. The "comment" is the corresponding comment. For convenience, there is also an initialize.py python script that iterates through all of the json files in the data directory and stores them in an SQLite database called "all_data.db".
DOI: 10.17632/tfz5rry6r7.1
title: Data for: Quantification of the influence of NO2, NO and CO gases on the determination of aldehydes using the DNPH method

description: Raw data files for HPLC, MS, UV of CO reaction products with DNPH Calculations for the effect of the gases on aldehyde capture and displacement, and consumption of DNPH
DOI: 10.5281/zenodo.3471982
title: deleted

description: deleted