cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8183848
title: Hydrological Reanalysis for the Congo River Basin (1983-2020)

description: The Congo River basin (CRB), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Here we present an unprecedented 38-year (1983-2020) hydrological reanalysis of CRB daily discharge that helped us to analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Niño Southern Oscillation (ENSO), the dominant driver of tropical precipitation. To develp this dataset, we employ a large-scale hydrologic-hydrodynamic model (MGB) with lake storage dynamics representation and a data assimilation (DA) technique using in-situ discharge and water level and remote sensing observations from radar altimetry. The performance of MGB is satisfactory, with KGE indices of 0.84 and 0.71 for calibration and validation, respectively. Incorporating lake representation significantly improves the simulations, from 0.3 to 0.63 for the Pearson correlation coefficient. Furthermore, DA shows a ~13% reduction in simulated discharge errors through cross-validation. This final version of the product uses all in-situ and radar altimetry observations during the simulation period, after satisfactory performance was verified in the DA cross-validation process. The original simulation period was from 1981 but the first two years were removed to avoid inconsistencies due to model initial conditions.<br> Please cite as: Wongchuig, S.; Kitambo, B.; Papa, F.; Paris, A.; Fleischmann, A.; Gal, L.; Boucharel, J.; Paiva, R.; Oliveira, R.; Tshimanga, R. M.; Calmant, S. 2023. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections.
description: We make available the daily discharge data set of the Hydrological Reanalysis for the Congo Basin in its v1.0 version, which correspond to the "HR_Congo_1983-2020.nc" and and its version in csv format "HR_Congo_1983-2020.nc" and "coordinates.csv" files. The matrix of daily discharge contains 13880 columns (one per day, starting at 01Jan/1983) and 11580 rows (one per unit-catchment). These irregular unit-catchments have an average spatial resolution of ~15km. Shapefiles containing the "Basin_boundary", "Centroids", "Drainage" and "Unitcatchments" are attached. Authors: Sly Wongchuig Correa Benjamin Kitambo Fabrice Papa Adrien Paris Ayan Santos Fleischmann Laetitia Gal Julien Boucharel Rodrigo Cauduro Dias de Paiva Romulo Jucá Oliveira Raphael M. Tshimanga Stéphane Calmant
DOI: 10.5281/zenodo.8199770
title: Hydrological Reanalysis for the Congo River Basin (1983-2020)

description: The Congo River basin (CRB), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Here we present an unprecedented 38-year (1983-2020) hydrological reanalysis of CRB daily discharge that helped us to analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Niño Southern Oscillation (ENSO), the dominant driver of tropical precipitation. To develp this dataset, we employ a large-scale hydrologic-hydrodynamic model (MGB) with lake storage dynamics representation and a data assimilation (DA) technique using in-situ discharge and water level and remote sensing observations from radar altimetry. The performance of MGB is satisfactory, with KGE indices of 0.84 and 0.71 for calibration and validation, respectively. Incorporating lake representation significantly improves the simulations, from 0.3 to 0.63 for the Pearson correlation coefficient. Furthermore, DA shows a ~13% reduction in simulated discharge errors through cross-validation. This final version of the product uses all in-situ and radar altimetry observations during the simulation period, after satisfactory performance was verified in the DA cross-validation process. The original simulation period was from 1981 but the first two years were removed to avoid inconsistencies due to model initial conditions.<br> Please cite as: Wongchuig, S.; Kitambo, B.; Papa, F.; Paris, A.; Fleischmann, A.; Gal, L.; Boucharel, J.; Paiva, R.; Oliveira, R.; Tshimanga, R. M.; Calmant, S. 2023. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections.
description: We make available the daily discharge data set of the Hydrological Reanalysis for the Congo Basin in its v1.0 version, which correspond to the "HR_Congo_1983-2020.nc" and and its version in csv format "HR_Congo_1983-2020.nc" and "coordinates.csv" files. The matrix of daily discharge contains 13880 columns (one per day, starting at 01Jan/1983) and 11580 rows (one per unit-catchment). These irregular unit-catchments have an average spatial resolution of ~15km. Shapefiles containing the "Basin_boundary", "Centroids", "Drainage" and "Unitcatchments" are attached. Authors: Sly Wongchuig Correa Benjamin Kitambo Fabrice Papa Adrien Paris Ayan Santos Fleischmann Laetitia Gal Julien Boucharel Rodrigo Cauduro Dias de Paiva Romulo Jucá Oliveira Raphael M. Tshimanga Stéphane Calmant
DOI: 10.6073/pasta/db09c5efc5d9bf40b751fffc6121efa3
title: UCSB SONGS Mitigation Monitoring: Reef Performance Standard - Kelp Acres

description: These data describe annual estimates of the area (in acres) of medium-to-high density adult giant kelp, Macrocystis pyrifera, supported by the artificial reef polygons of Wheeler North Reef in Orange County, CA (33.40210N, 117.62420W). Data collection began in 2009 to evaluate the ability of Wheeler North Reef to compensate for losses of kelp forest habitat and associated biota caused by the operation of the San Onofre Nuclear Generating Station (SONGS).
DOI: 10.6084/m9.figshare.24058632
title: Mating system experiments

description: Pascual Tudanca M.P., Debandi H., Vázquez D.P. (2023) Data and codes from: Managed honeybee hives negatively affect the reproduction of native plants in a dryland nature reserve. Figshare repository. https://10.6084/m9.figshare.24058632Data, metadata, and codes used to study the mating systems of <i>Larrea</i> <i>divaricata</i>, <i>L</i>. <i>cuneifolia</i>, and <i>Zuccagnia</i> <i>punctata</i>.
DOI: 10.6084/m9.figshare.24058632.v1
title: Mating system experiments

description: Pascual Tudanca M.P., Debandi H., Vázquez D.P. (2023) Data and codes from: Managed honeybee hives negatively affect the reproduction of native plants in a dryland nature reserve. Figshare repository. https://10.6084/m9.figshare.24058632Data, metadata, and codes used to study the mating systems of <i>Larrea</i> <i>divaricata</i>, <i>L</i>. <i>cuneifolia</i>, and <i>Zuccagnia</i> <i>punctata</i>.
DOI: 10.6084/m9.figshare.24058611
title: Pollination and reproduction of native plants

description: Pascual Tudanca M.P., Debandi H., Vázquez D.P. (2023) Data and codes from: Managed honeybee hives negatively affect the reproduction of native plants in a dryland nature reserve. Figshare repository. https://10.6084/m9.figshare.24058611Data, metadata, and codes of the pollination and reproduction of native plants (<i>Larrea divaricata</i>, <i>L</i>. <i>cuneifolia</i>, and <i>Zuccagnia punctata</i>) as a function of the distance to managed hives of <i>Apis</i> <i>mellifera</i> in the Villavicencio Nature Reserve, Mendoza.
DOI: 10.6084/m9.figshare.24058611.v1
title: Pollination and reproduction of native plants

description: Pascual Tudanca M.P., Debandi H., Vázquez D.P. (2023) Data and codes from: Managed honeybee hives negatively affect the reproduction of native plants in a dryland nature reserve. Figshare repository. https://10.6084/m9.figshare.24058611Data, metadata, and codes of the pollination and reproduction of native plants (<i>Larrea divaricata</i>, <i>L</i>. <i>cuneifolia</i>, and <i>Zuccagnia punctata</i>) as a function of the distance to managed hives of <i>Apis</i> <i>mellifera</i> in the Villavicencio Nature Reserve, Mendoza.
DOI: 10.5281/zenodo.10839999
title: SwedishLeaf

description: Swedish leaf is a set of leaf outlines donated by Oskar Söderkvist, and used in his MSc thesis Computer vision classifcation of leaves from swedish trees, 2001. The tree classes are 1. Ulmus carpinifolia 2. Acer 3. Salix aurita 4. Quercus 5. Alnus incana 6. Betula pubescens 7. Salix alba 'Sericea' 8. Populus tremula 9. Ulmus glabra 10. Sorbus aucuparia 11. Salix sinerea 12. Populus 13.Tilia 14. Sorbus intermedia 15. Fagus silvatica

This is a pre-processed version of the dataset saved in numpy format. The original dataset is univariate and it was obtained from here.

The dataset consists of univariate time series associated with a class label. It can be loaded as follows:

loaded_data = np.load("SwedishLeaf.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (500, 128)
Ytr = loaded_data['Ytr'] # Training labels of shape (500, 1)
Xte = loaded_data['Xte'] # Test data of shape (625, 128)
Yte = loaded_data['Yte'] # Test labels of shape (625, 1)
DOI: 10.5281/zenodo.10840000
title: SwedishLeaf

description: Swedish leaf is a set of leaf outlines donated by Oskar Söderkvist, and used in his MSc thesis Computer vision classifcation of leaves from swedish trees, 2001. The tree classes are 1. Ulmus carpinifolia 2. Acer 3. Salix aurita 4. Quercus 5. Alnus incana 6. Betula pubescens 7. Salix alba 'Sericea' 8. Populus tremula 9. Ulmus glabra 10. Sorbus aucuparia 11. Salix sinerea 12. Populus 13.Tilia 14. Sorbus intermedia 15. Fagus silvatica

This is a pre-processed version of the dataset saved in numpy format. The original dataset is univariate and it was obtained from here.

The dataset consists of univariate time series associated with a class label. It can be loaded as follows:

loaded_data = np.load("SwedishLeaf.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (500, 128)
Ytr = loaded_data['Ytr'] # Training labels of shape (500, 1)
Xte = loaded_data['Xte'] # Test data of shape (625, 128)
Yte = loaded_data['Yte'] # Test labels of shape (625, 1)
DOI: 10.6084/m9.figshare.24058308
title: Honeybee visits to flowers

description: Pascual Tudanca M.P., Debandi H., Vázquez D.P. (2023) Data and codes from: Managed honeybee hives negatively affect the reproduction of native plants in a dryland nature reserve. Figshare repository. https://10.6084/m9.figshare.24058308Data, metadata, and codes of the frequency of visits of the honeybee to flowers as a function of the distance to managed hives of <i>Apis</i> <i>mellifera</i> in the Villavicencio Nature Reserve, Mendoza.
DOI: 10.25810/n3xc-9577.35
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.25438252
title: UltrasoundRP

description: https://github.com/gengxilu/UltrasoundRP
DOI: 10.5281/zenodo.10839965
title: Wafer

description: This dataset was originally formatted by R. Olszewski as part of his thesis Generalized feature extraction for structural pattern recognition in time-series data at Carnegie Mellon University, 2001. Wafer data relates to semi-conductor microelectronics fabrication. A collection of inline process control measurements recorded from various sensors during the processing of silicon wafers for semiconductor fabrication constitute the wafer database; each data set in the wafer database contains the measurements recorded by one sensor during the processing of one wafer by one tool. The two classes are normal and abnormal.

This is a modified, multivariate version of the dataset saved in numpy format. The original dataset is univariate and it was obtained from here.

The dataset consists of multi-variate time series contained in an array of shape [n_samples, time_steps, n_variables] associated with class labels contained in an array of shape [n_samples, 1]. It can be loaded as follows:

loaded_data = np.load("Wafer.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (298, 198, 6)
Ytr = loaded_data['Ytr'] # Training labels of shape (289, 1)
Xte = loaded_data['Xte'] # Test data of shape (896, 198, 6)
Yte = loaded_data['Yte'] # Test labels of shape (896, 1)
DOI: 10.5281/zenodo.10839966
title: Wafer

description: This dataset was originally formatted by R. Olszewski as part of his thesis Generalized feature extraction for structural pattern recognition in time-series data at Carnegie Mellon University, 2001. Wafer data relates to semi-conductor microelectronics fabrication. A collection of inline process control measurements recorded from various sensors during the processing of silicon wafers for semiconductor fabrication constitute the wafer database; each data set in the wafer database contains the measurements recorded by one sensor during the processing of one wafer by one tool. The two classes are normal and abnormal.

This is a modified, multivariate version of the dataset saved in numpy format. The original dataset is univariate and it was obtained from here.

The dataset consists of multi-variate time series contained in an array of shape [n_samples, time_steps, n_variables] associated with class labels contained in an array of shape [n_samples, 1]. It can be loaded as follows:

loaded_data = np.load("Wafer.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (298, 198, 6)
Ytr = loaded_data['Ytr'] # Training labels of shape (289, 1)
Xte = loaded_data['Xte'] # Test data of shape (896, 198, 6)
Yte = loaded_data['Yte'] # Test labels of shape (896, 1)
DOI: 10.3886/e198965
title: “More about the Neighborhood than the School”: Leveraging “Don’t Know” Survey Responses to Probe Parental Evaluations of School Safety

description: This website provides replication data and syntax associated with the article "'More about the Neighborhood than the School': Leveraging 'Don't Know' Survey Responses to Probe Parental Evaluations of School Safety," by Billingham, Kimelberg, and Hunt.<br><br>Abstract:<br>We utilize original survey data to examine
factors influencing parental assessment of schools. When asked a series of
questions about their evaluation of hypothetical schools in a survey experiment,
respondents were given the option to select “don’t know” and explain in their
own words what additional information they would want to know about the school
in order to make their decision. Respondents were especially likely to answer
“don’t know” in response to a question about school safety. We explore patterns
of “don’t know” responses through analysis of the open-ended answers that respondents
provided. Rather than focusing solely on school characteristics, open-ended
responses reveal that parents tend to worry about crime and safety issues in
the neighborhoods surrounding schools. We discuss the implications of these
findings for education policy, school practice, and education research methods.
description: Parents of school-age children in the United States.
DOI: 10.3886/e198965v1
title: “More about the Neighborhood than the School”: Leveraging “Don’t Know” Survey Responses to Probe Parental Evaluations of School Safety

description: This website provides replication data and syntax associated with the article "'More about the Neighborhood than the School': Leveraging 'Don't Know' Survey Responses to Probe Parental Evaluations of School Safety," by Billingham, Kimelberg, and Hunt.<br><br>Abstract:<br>We utilize original survey data to examine
factors influencing parental assessment of schools. When asked a series of
questions about their evaluation of hypothetical schools in a survey experiment,
respondents were given the option to select “don’t know” and explain in their
own words what additional information they would want to know about the school
in order to make their decision. Respondents were especially likely to answer
“don’t know” in response to a question about school safety. We explore patterns
of “don’t know” responses through analysis of the open-ended answers that respondents
provided. Rather than focusing solely on school characteristics, open-ended
responses reveal that parents tend to worry about crime and safety issues in
the neighborhoods surrounding schools. We discuss the implications of these
findings for education policy, school practice, and education research methods.
description: Parents of school-age children in the United States.
DOI: 10.25810/rxtv-eb29.71
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.8422261
title: Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures

description: Simulation data used for the publication "Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures" in Journal of Materials Chemistry C, Royal Society of Chemistry (2023). See README file for more details.
DOI: 10.5281/zenodo.8422262
title: Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures

description: Simulation data used for the publication "Crystalline Morphology Formation in Phase-Field Simulations of Binary Mixtures" in Journal of Materials Chemistry C, Royal Society of Chemistry (2023). See README file for more details.
DOI: 10.25810/6qjv-1296.71
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5066/p9i6izvq
title: Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States

description: These data consist of environmental covariates, measured plot-level and tree characteristics for seven coniferous tree species across the southwestern United States. The objectives of the study were to assess how growth characteristics of conifer tree species vary across environmental gradients and across the different tree species. These data represent conifer growth under a variety of stand and site characteristics. These data were collected in the summer of 2019, from sites across Nevada, Arizona, New Mexico and Colorado, and collected by field crews directed by Matt Petrie (University of Nevada Las Vegas), Rob Hubbard (USDA Forest Service), Tom Kolb (Northern Arizona University) and John Bradford (U.S. Geological Survey). We selected six locations to encompass a wide range of regional climate conditions. Within each location, we selected sites to capture diversity in local factors expected to influence regeneration including topography, adult tree density, vegetation characteristics, management action, and disturbance. To include more and less sheltered forest microsites in each plot, we located the center of each plot at the boundary between a moderately sized forest interspace and a higher density area, using a spherical densiometer to estimate the midpoint of this boundary for each site based on canopy cover. Interspace sizes differed for each forest site, such that in a dense forest stand a moderate interspace was smaller (∼ 10-100 m−2) than that of a thinned forest stand, where a moderate interspace was in some cases > 1.0 ha in area (10,000 m2). Sites were located on shallow slopes when possible (< 10◦). Recognizing the important influence of soil properties and soil parent material on regeneration, we selected sites with similar texture (sandy loams, loamy sands) at each study location to minimize edaphic influence between our regional study locations. We did not pre-evaluate regeneration in the field prior to setting plot boundaries. We note that some of our sites were located in different environments (differing canopy covers, understory vegetation and debris, adult tree densities, etc.) within the same forest management unit, and other sites were located in nearby managed and unmanaged forest stands. These data can be used to assess how environmental conditions and site characteristics may influence conifer tree regeneration.
DOI: 10.25810/fj1y-8c74.63
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.23232146.v1
title: fulldata.csv

description: raw data from COVID-19 spirituality and stress study
DOI: 10.6084/m9.figshare.23232146.v2
title: fulldata.csv

description: raw data from COVID-19 spirituality and stress study
DOI: 10.5281/zenodo.10837743
title: Additional simulations for "Demographic interactions of the last hunter-gatherers and the first farmers"

description: These are the complete results for the article "Demographic interactions of the last hunter-gatherers and the first farmers". Due to space constrains, they have been uploaded here, and not at the main github repo (https://github.com/acortell3/Demographic_interactions). Nevertheless, these are the discarded results, and are not necessary to reproduce the paper.
DOI: 10.5281/zenodo.10837744
title: Additional simulations for "Demographic interactions of the last hunter-gatherers and the first farmers"

description: These are the complete results for the article "Demographic interactions of the last hunter-gatherers and the first farmers". Due to space constrains, they have been uploaded here, and not at the main github repo (https://github.com/acortell3/Demographic_interactions). Nevertheless, these are the discarded results, and are not necessary to reproduce the paper.
DOI: 10.25810/v575-3r57.64
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.10839851
title: 10K-Cell Subset of PBMC CITE-Seq Dataset for CITEViz

description: This repository contains an example CITE-Seq data (10K peripheral blood mononuclear cells) to test the CITEViz program. The CITEViz preprint is available here, and the documentation website is located here. The original data underlying this article are available in GEO (Gene Expression Omnibus) at https://www.ncbi.nlm.nih.gov/geo/, and can be accessed with GSE164378.
DOI: 10.5281/zenodo.10839852
title: 10K-Cell Subset of PBMC CITE-Seq Dataset for CITEViz

description: This repository contains an example CITE-Seq data (10K peripheral blood mononuclear cells) to test the CITEViz program. The CITEViz preprint is available here, and the documentation website is located here. The original data underlying this article are available in GEO (Gene Expression Omnibus) at https://www.ncbi.nlm.nih.gov/geo/, and can be accessed with GSE164378.