cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119146v1-134901
title: 2019 Annual Programs Technical Report, Village Health Works

description: Village Health Works is a grassroots, 501(c) (3) non-profit organisation that provides quality, compassionate, dignified health care in rural Burundi, East Africa. We use a holistic model, focusing first on treating illnesses through primary health care services, then using our unmatched community engagement to implement programs in sustainable agriculture, education and economic development to address the social determinants of health. With a catchment population of 120,000 people, the clinic program focuses on improving health and wellbeing through the provision of quality health services in the area of infectious diseases, non-communicable diseases, maternal and child health, and mental health. Furthermore, there is a public health component to the program that targets disease prevention, the adoption of a healthy lifestyle, family planning as well as engaging the communal structures to raise awareness of sensitive areas like sexual violence. Our approach is community-driven and as such, we place importance on delivering services via community health workers, who are formally integrated into the health system. The economic development program has a strategy of tackling poverty through income generating activities. Under this program, community members form cooperatives in which they receive agricultural input, training and routine capacity building activities. Cooperatives are organised around traditional farming, fish farming and services such as baking and sewing. Additionally, the economic development program has a food security program which aims at tackling nutrition in the catchment as well as supporting the clinic patients with diverse and nutritious food. In the community, the food security program focuses on improving agricultural practices through improving fertility of lands for farming. The education program currently operates on-site and focuses on delivering high quality education. To achieve desired students’ outcomes, the program implements a model with two major components; teacher training and strengthening support systems for pupils. The teacher training component aims to equip teachers with the skills and knowledge to make classroom instruction child-centered. The other component concentrates on creating a safe, healthy, and congenial area in which children learn and thrive. As such, activities carried out under this component include: screening children for malnutrition, providing de-worming treatment, health promotion, after-school programming, and activities designed to promote girls’ education and gender equality.
DOI: 10.6084/m9.figshare.22281669
title: SM_radius_vs_time.csv from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: During hydraulic fracturing, the injection of a pressurized fluid in a brittle elastic medium leads to the formation and growth of fluid-filled fractures. A disc-like or penny-shaped fracture grows radially from a point source during the injection of a viscous fluid at a constant flow rate. We report an experimental study on the dynamics of fractures propagating in the viscous regime. We measure the fracture aperture and radius over time for varying mechanical properties of the medium and fluid and different injection parameters. Our experiments show that the fracture continues to expand in an impermeable brittle matrix, even after the injection stops. In the viscous regime, the fracture radius scales as <i>t</i><sup>4/9</sup> during the injection. Post-shut-in, the crack continues to propagate at a slower rate, which agrees well with the predictions of the scaling arguments, as the radius scales as <i>t</i><sup>1/9</sup>. The fracture finally reaches an equilibrium set by the toughness of the material. The results provide insights into the propagation of hydraulic fractures in rocks.
DOI: 10.6084/m9.figshare.22281669.v2
title: SM_radius_vs_time.csv from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: During hydraulic fracturing, the injection of a pressurized fluid in a brittle elastic medium leads to the formation and growth of fluid-filled fractures. A disc-like or penny-shaped fracture grows radially from a point source during the injection of a viscous fluid at a constant flow rate. We report an experimental study on the dynamics of fractures propagating in the viscous regime. We measure the fracture aperture and radius over time for varying mechanical properties of the medium and fluid and different injection parameters. Our experiments show that the fracture continues to expand in an impermeable brittle matrix, even after the injection stops. In the viscous regime, the fracture radius scales as <i>t</i><sup>4/9</sup> during the injection. Post-shut-in, the crack continues to propagate at a slower rate, which agrees well with the predictions of the scaling arguments, as the radius scales as <i>t</i><sup>1/9</sup>. The fracture finally reaches an equilibrium set by the toughness of the material. The results provide insights into the propagation of hydraulic fractures in rocks.
DOI: 10.6084/m9.figshare.22281672
title: SM_data_plotting.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code plots the data in files SM_aperture_vs_radius.csv and SM_radius_vs_time.csv
DOI: 10.6084/m9.figshare.22281672.v2
title: SM_data_plotting.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code plots the data in files SM_aperture_vs_radius.csv and SM_radius_vs_time.csv
DOI: 10.6084/m9.figshare.22281678
title: Radius of the fracture as a function of time from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This table contains the data used to create figure 4.
DOI: 10.6084/m9.figshare.22281678.v2
title: Radius of the fracture as a function of time from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This table contains the data used to create figure 4.
DOI: 10.6084/m9.figshare.22281669.v1
title: SM_image_analysis_radius.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code analyses the image series of a propagating fracture and returns the fracture radius as a function of time.
DOI: 10.6084/m9.figshare.22281672.v1
title: Radius of the fracture as a function of time from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This table contains the data used to create figure 4.
DOI: 10.6084/m9.figshare.22281678.v1
title: Aperture of the fracture as a function of the radial position from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This table contains the data used to create figure 5.
DOI: 10.6084/m9.figshare.22281684
title: SM_image_analysis_radius.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code analyses the image series of a propagating fracture and returns the fracture radius as a function of time.
DOI: 10.6084/m9.figshare.22281684.v2
title: SM_image_analysis_radius.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code analyses the image series of a propagating fracture and returns the fracture radius as a function of time.
DOI: 10.6084/m9.figshare.22281684.v1
title: SM_data_plotting.m from Dynamics of fluid-driven fractures in the viscous-dominated regime

description: This Matlab code plots the data in files SM_aperture_vs_radius.csv and SM_radius_vs_time.csv
DOI: 10.26179/aehf-b151
title: Vestfold Hills, Davis station southern elephant seal numbers 1957-2022
DOI: 10.34740/kaggle/dsv/4738309
title: Bee Image Object Detection
DOI: 10.18434/mds2-2942
title: Parametric simulations of microwave microfluidic measurement sensitivity to dielectric changes in polymer-fluid interfaces
DOI: 10.25901/6g2n-5z53
title: Cape Tribulation Flux Data Release 2022_v2
DOI: 10.6084/m9.figshare.22344916
title: Untitled Item

description: Original data
DOI: 10.6084/m9.figshare.22344916.v1
title: Untitled Item

description: Original data
DOI: 10.6084/m9.figshare.22344925
title: Original data1

description: Original data
DOI: 10.6084/m9.figshare.22344925.v1
title: Original data1

description: Original data
DOI: 10.5281/zenodo.7775839
title: SMILE: mutual information learning for integration of single-cell omics data

description: Processed PBMC data for integration tutorial in https://github.com/rpmccordlab/SMILE.
DOI: 10.5281/zenodo.7775840
title: SMILE: mutual information learning for integration of single-cell omics data

description: Processed PBMC data for integration tutorial in https://github.com/rpmccordlab/SMILE.
DOI: 10.5281/zenodo.7776066
title: SMILE: mutual information learning for integration of single-cell omics data

description: Processed PBMC data for integration tutorial in https://github.com/rpmccordlab/SMILE.
DOI: 10.25919/0sht-xy76
title: Potential greenhouse gas abatement offset estimates for twelve Emission Reduction Fund methodologies under a range of carbon prices

description: The land sector is an important part of Australia’s national emissions response, in 2020 contributing over 80% of the currently contracted abatement under the ERF, and delivering 11.0 Mt CO2-e-1 yr-1. There is therefore significant interest in understanding the future abatement potential of the land sector, beyond abatement that has already been committed. The aim of this project was to undertake data analysis and associated spatial modelling to estimate the potential future supply of offsets from land sector carbon farming within the current suite of ERF methodologies, under different carbon price scenarios. The analyses involved first calculating the ‘technically feasible’ abatement, i.e. abatement that is constrained by biological, edaphic, and climatic factors, as well as limitations imposed by the legal requirements of the methodologies. The second step involved the application of economic modelling to investigate the extent to which the technically feasible abatement may be economically viable given profitability of the current land use, project costs, and carbon price. While the analyses identified abatement that is technically and economically constrained, they excluded a range of non-economic factors that together ultimately determine market participation, such as social barriers to adoption, or technological limitations that may prevent immediate uptake. The reported abatement estimates therefore reflect economically constrained ‘theoretical’ maximum potentials, and should not be interpreted as predictions of future abatement activity in the land sector. This collection provides the summarised results from these analyses, as reported in Chapter 4 of Roxburgh et al. (2020)
DOI: 10.5281/zenodo.7510044
title: Monthly Chlorophyll-a and total suspended solids concentrations during August 2002 and July 2020 in the Pearl River Estuary, China

description: Monthly Chlorophyll-a (Chl-a) and total suspended solids (TSS) concentrations during August 2002 and July 2020 in the Pearl River Estuary, China. Chl-a and TSS were retrieved based on a machine learning algorithm developed by <em>Ma et al.</em> [2022] using satellite imagery from MODerate-resolution Imaging Spectroradiometer (MODIS) onboard Aqua. Reference Ma, C., J. Zhao, B. Ai, S. Sun, and Z. Yang (2022), Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China, <em>Journal of Geophysical Research: Oceans</em>, <em>127</em>(1).
DOI: 10.5281/zenodo.7510187
title: Monthly Chlorophyll-a and total suspended solids concentrations during August 2002 and July 2020 in the Pearl River Estuary, China

description: Monthly Chlorophyll-a (Chl-a) and total suspended solids (TSS) concentrations during August 2002 and July 2020 in the Pearl River Estuary, China. Chl-a and TSS were retrieved based on a machine learning algorithm developed by <em>Ma et al.</em> [2022] using satellite imagery from MODerate-resolution Imaging Spectroradiometer (MODIS) onboard Aqua. Reference Ma, C., J. Zhao, B. Ai, S. Sun, and Z. Yang (2022), Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China, <em>Journal of Geophysical Research: Oceans</em>, <em>127</em>(1).
DOI: 10.5281/zenodo.7510043
title: Monthly Chlorophyll-a and total suspended solids concentrations during August 2002 and July 2020 in the Pearl River Estuary, China

description: Monthly Chlorophyll-a (Chl-a) and total suspended solids (TSS) concentrations during August 2002 and July 2020 in the Pearl River Estuary, China. Chl-a and TSS were retrieved based on a machine learning algorithm developed by <em>Ma et al.</em> [2022] using satellite imagery from MODerate-resolution Imaging Spectroradiometer (MODIS) onboard Aqua. Reference Ma, C., J. Zhao, B. Ai, S. Sun, and Z. Yang (2022), Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China, <em>Journal of Geophysical Research: Oceans</em>, <em>127</em>(1).
DOI: 10.5281/zenodo.7768932
title: Monthly surface water in the Tibet Plateau in 2020

description: We produced a new high-resolution dataset (10 m spatial resolution) about the month-by-month surface water in the Tibet Plateau in 2020 by using the deep learning method and Sentinel-1 image. The related source code can be found at: https://github.com/xinluo2018/Tibet-Water-2020.git.
DOI: 10.5281/zenodo.7768931
title: Monthly surface water in the Tibet Plateau in 2020

description: We produced a new high-resolution dataset (10 m spatial resolution) about the month-by-month surface water in the Tibet Plateau in 2020 by using the deep learning method and Sentinel-1 image. The related source code can be found at: https://github.com/xinluo2018/Tibet-Water-2020.git.
DOI: 10.25582/data.2022-03.2464720/1930917
title: Data for EMSL Project 51714 from March 2022
DOI: 10.25582/data.2022-03.2465194/1955938
title: Data for EMSL Project 49638 from March 2022
DOI: 10.5281/zenodo.7776523
title: RecurM test synthetic dataset

description: Test synthetic dataset containing 20 synthetic metagenomes for ground truth RecurM testing. Assembled using "metaspades --meta -k 21,33,55,77,99,127" via spades v3.15.2.
DOI: 10.5281/zenodo.7776522
title: RecurM test synthetic dataset

description: Test synthetic dataset containing 20 synthetic metagenomes for ground truth RecurM testing. Assembled using "metaspades --meta -k 21,33,55,77,99,127" via spades v3.15.2.
DOI: 10.6084/m9.figshare.22345024
title: Young-adults--mental-health-and-help-seeking_What-difficulties-do-they-face_A-Singapore-based-study.sav

description: This dataset presents data collected through an online self-administered questionnaire on help-seeking intentions and attitudes from 132 young adults aged 21 to 30 years old residing in Singapore.
DOI: 10.5281/zenodo.7642648
title: Social contact patterns relevant for infectious disease transmission in Cambodia

description: Social contact data from a community-based survey conducted in Cambodia in 2012.
description: Funding: Data collection was funded by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) under the project "Developing evidence-based investment options in support of pandemic preparedness policy in Cambodia". Data analyses and write-up was funded in part by the U.S. Department of Defense, Defense Threat Reduction Agency (DTRA), as part of the project "Understanding zoonotic and pandemic risk from swine production and exchange systems in Cambodia" (HDTRA11810051). The content of the information does not necessarily reflect the position or the policy of the federal government, and no official endorsement should be inferred.
DOI: 10.5281/zenodo.7642647
title: Social contact patterns relevant for infectious disease transmission in Cambodia

description: Social contact data from a community-based survey conducted in Cambodia in 2012.
description: Funding: Data collection was funded by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) under the project "Developing evidence-based investment options in support of pandemic preparedness policy in Cambodia". Data analyses and write-up was funded in part by the U.S. Department of Defense, Defense Threat Reduction Agency (DTRA), as part of the project "Understanding zoonotic and pandemic risk from swine production and exchange systems in Cambodia" (HDTRA11810051). The content of the information does not necessarily reflect the position or the policy of the federal government, and no official endorsement should be inferred.
DOI: 10.6084/m9.figshare.22344946
title: 16s rRNA data

description: spotted sea bass Intestinal sequencing data of 16s rRNA .
DOI: 10.6084/m9.figshare.22344946.v1
title: 16s rRNA data

description: spotted sea bass Intestinal sequencing data of 16s rRNA .
DOI: 10.5519/qd.fzi50ndc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1370630 records)
DOI: 10.6084/m9.figshare.22345072
title: Tao Wang- CEE-Supplementary Data 1-10

description: Supplementary Data- Communications Earth & Environment -Quantitative characterization of orogens through isotopic mapping
DOI: 10.5281/zenodo.7776566
title: Result for experimental group of abrasion resistance

description: Result for experimental group of abrasion resistance
DOI: 10.5281/zenodo.7776565
title: Result for experimental group of abrasion resistance

description: Result for experimental group of abrasion resistance
DOI: 10.5281/zenodo.7776536
title: Snowpack temperature profile dataset from a boreal forest watershed in eastern Canada.

description: This dataset presents snow temperature profiles from nine different boreal forest sites in eastern Canada collected over two consecutive winters, 2016-17 and 2017-18. The dataset includes snowpack temperature profiles, snow depth, air temperature, and soil temperature. In addition, the two flux towers provided us with the additional heat and water vapour fluxes. We also present data extracted from intensive snow coring and snowpit surveys, conducted on a weekly and bi-weekly basis. Additionally, stable water isotope data collected from individual snowpack are presented here. To learn more about the additional information about the data, please read the "Readme.txt" file.
description: {"references": ["Parajuli, A. et al. (2020) 'Exploring the spatiotemporal variability of the snow water equivalent in a small boreal forest catchment through observation and modelling', Hydrological Processes. John Wiley and Sons Ltd, 34(11), pp. 2628\u20132644. doi: 10.1002/hyp.13756.", "Parajuli, A. et al. (2020) 'Does data availability constrain temperature-index snow models? A case study in a humid boreal forest', Water. MDPI AG, 12(8). doi: 10.3390/w12082284.", "Schilling, O. S. et al. (2021) 'Quantifying Groundwater Recharge Dynamics and Unsaturated Zone Processes in Snow-Dominated Catchments via On-Site Dissolved Gas Analysis', Water Resources Research. Blackwell Publishing Ltd, 57(2). doi: 10.1029/2020WR028479.", "Parajuli, A. et al. (2021) 'Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada', Cryosphere. Copernicus GmbH, 15(12), pp. 5371\u20135386. doi: 10.5194/tc-15-5371-2021.", "Isabelle, P. et al. (2020) 'Impacts of high precipitation on the energy and water budgets of a humid boreal forest', Agricultural and Forest Meteorology. Elsevier, 280, pp. 1\u201313. doi: 10.1016/j.agrformet.2019.107813.", "Alves, M. et al. (2020) 'On the performance of the Canadian land surface scheme driven by the ERA5 reanalysis over the Canadian boreal forest', Journal of Hydrometeorology. American Meteorological Society, 21(6), pp. 1383\u20131404. doi: 10.1175/JHM-D-19-0172.1."]}
DOI: 10.5281/zenodo.7776535
title: Snowpack temperature profile dataset from a boreal forest watershed in eastern Canada.

description: This dataset presents snow temperature profiles from nine different boreal forest sites in eastern Canada collected over two consecutive winters, 2016-17 and 2017-18. The dataset includes snowpack temperature profiles, snow depth, air temperature, and soil temperature. In addition, the two flux towers provided us with the additional heat and water vapour fluxes. We also present data extracted from intensive snow coring and snowpit surveys, conducted on a weekly and bi-weekly basis. Additionally, stable water isotope data collected from individual snowpack are presented here. To learn more about the additional information about the data, please read the "Readme.txt" file.
description: {"references": ["Parajuli, A. et al. (2020) 'Exploring the spatiotemporal variability of the snow water equivalent in a small boreal forest catchment through observation and modelling', Hydrological Processes. John Wiley and Sons Ltd, 34(11), pp. 2628\u20132644. doi: 10.1002/hyp.13756.", "Parajuli, A. et al. (2020) 'Does data availability constrain temperature-index snow models? A case study in a humid boreal forest', Water. MDPI AG, 12(8). doi: 10.3390/w12082284.", "Schilling, O. S. et al. (2021) 'Quantifying Groundwater Recharge Dynamics and Unsaturated Zone Processes in Snow-Dominated Catchments via On-Site Dissolved Gas Analysis', Water Resources Research. Blackwell Publishing Ltd, 57(2). doi: 10.1029/2020WR028479.", "Parajuli, A. et al. (2021) 'Multilayer observation and estimation of the snowpack cold content in a humid boreal coniferous forest of eastern Canada', Cryosphere. Copernicus GmbH, 15(12), pp. 5371\u20135386. doi: 10.5194/tc-15-5371-2021.", "Isabelle, P. et al. (2020) 'Impacts of high precipitation on the energy and water budgets of a humid boreal forest', Agricultural and Forest Meteorology. Elsevier, 280, pp. 1\u201313. doi: 10.1016/j.agrformet.2019.107813.", "Alves, M. et al. (2020) 'On the performance of the Canadian land surface scheme driven by the ERA5 reanalysis over the Canadian boreal forest', Journal of Hydrometeorology. American Meteorological Society, 21(6), pp. 1383\u20131404. doi: 10.1175/JHM-D-19-0172.1."]}
DOI: 10.6084/m9.figshare.22339591
title: NETHERLANDS_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Netherlands Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. To facilitate population data retrieval across scale, we segment spatial coverage into 14 equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 26 March 2023.
DOI: 10.6084/m9.figshare.22339591.v1
title: NETHERLANDS_TILE_POPULATION

description: Data for Good Meta. High resolution population estimates for Netherlands Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License. To facilitate population data retrieval across scale, we segment spatial coverage into 14 equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile. <br> <strong>Reference</strong>: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 26 March 2023.