cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sbsnkk
title: Occurrence Download

description: A dataset containing 122828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tofieldiaceae"
 ]
}

 The dataset includes 122828 records from 737 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077323-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/27ws-yf50
title: Anomaly Detection Algorithms Performance

description: The dataset contains performance values, Area Under the ROC Curve (AUC) and Average Precision (AP), of popular anomaly detection (AD) algorithms taken over a set of 9k AD benchmark datasets.Datasets were initially published with the following paper:Kandanaarachchi, S., Muñoz, M. A., Hyndman, R. J., & Smith-Miles, K. (2020). On normalization and algorithm selection for unsupervised outlier detection. Data Mining and Knowledge Discovery, 34(2), 309-354.Python PyOD package has been used to perform the evaluation of the algorithms.
DOI: 10.17864/1947.000413
title: Perceptions of just agricultural transitions in England,2022

description: This dataset contains the results of a survey that was conducted through a Qualtrics panel of the English adult population during the period January-April 2022. The survey is the first in its kind in taking a psychometric approach to assessing justice perceptions related to agricultural transitions. The aim was to develop and test a practical tool that can be used to examine perceptions of a just transition in the agricultural context and that can support governments to inform their governance of agricultural sustainability transitions. We aimed to collect a representative sample with a sample size of N=400, taking account of age, gender, education, income, and distribution across England. Attempted responses were terminated when a quota in a certain group (gender, age, education level, geographical location, income) was met, when the respondent was younger than 18, or when they were speeding through the survey to such an extent that it would not be possible to read the questions in the used timeframe. Further responses were excluded based on duplication, straight lining, or partial response. The survey was live collecting responses until a representative sample of N=400 was reached.
DOI: 10.5281/zenodo.7545104
title: Forced Oscillations On PMMA (1)

description: Test #184<br> Type of Experiment: Forced Oscillations Sample: PMMA (#1) Experimental Conditions: Confining pressure: 3 MPa Pore Pressure: 0 MPa Seating Differential Stress: 2.5 MPa Amplitude of oscillating Stress: 0.8 MPa (Peak-to-peak) LVDTs: 2 high-resolution axial LVDTs and no radial LVDTs More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.
DOI: 10.5281/zenodo.7545103
title: Forced Oscillations On PMMA (1)

description: Test #184<br> Type of Experiment: Forced Oscillations Sample: PMMA (#1) Experimental Conditions: Confining pressure: 3 MPa Pore Pressure: 0 MPa Seating Differential Stress: 2.5 MPa Amplitude of oscillating Stress: 0.8 MPa (Peak-to-peak) LVDTs: 2 high-resolution axial LVDTs and no radial LVDTs More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.
DOI: 10.25380/iastate.19714901.v1
title: Global 1 km resolution daily near-surface air temperature for 2003

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2003 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. <em>Documentation for the entire series is included in this download. </em> Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19715032.v1
title: Global 1 km resolution daily near-surface air temperature for 2004

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2004 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719071.v1
title: Global 1 km resolution daily near-surface air temperature for 2005

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2005 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719176.v1
title: Global 1 km resolution daily near-surface air temperature for 2006

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2006 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.6084/m9.figshare.21767639
title: All-oxide n-AZO/p-SnOx hetero-junction for flexible solar cells: A numerical approach

description: The data is self-analyzed through the software
DOI: 10.6084/m9.figshare.21767639.v2
title: All-oxide n-AZO/p-SnOx hetero-junction for flexible solar cells: A numerical approach

description: The data is self-analyzed through the software
DOI: 10.6084/m9.figshare.21767639.v1
title: All-oxide n-AZO/p-SnOx hetero-junction for flexible solar cells: A numerical approach

description: The data is self-analyzed through the software
DOI: 10.25380/iastate.19719305.v1
title: Global 1 km resolution daily near-surface air temperature for 2007

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2007 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.35078/dugw1h
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Januária | Município: Jaíba

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.25380/iastate.19719412.v1
title: Global 1 km resolution daily near-surface air temperature for 2008

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2008 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.5281/zenodo.7545181
title: Forced Oscillations On Aluminum (2)

description: Test #198<br> Type of Experiment: Forced Oscillations Sample: Aluminum (#1) Experimental Conditions: Confining pressure: 10 MPa Pore Pressure: 0 MPa Seating Differential Stress: 10 MPa Amplitude of oscillating Stress: 1.0 MPa (Peak-to-peak) LVDTs: 2 high-resolution axial LVDTs and 4 radial LVDTs (no high resolution) More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.
DOI: 10.5281/zenodo.7545180
title: Forced Oscillations On Aluminum (2)

description: Test #198<br> Type of Experiment: Forced Oscillations Sample: Aluminum (#1) Experimental Conditions: Confining pressure: 10 MPa Pore Pressure: 0 MPa Seating Differential Stress: 10 MPa Amplitude of oscillating Stress: 1.0 MPa (Peak-to-peak) LVDTs: 2 high-resolution axial LVDTs and 4 radial LVDTs (no high resolution) More details are in the Excel file, including the initial processing of the data before calibration and a list of experiments.
DOI: 10.25380/iastate.19719505.v1
title: Global 1 km resolution daily near-surface air temperature for 2009

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2009 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19735559.v1
title: Global 1 km resolution daily near-surface air temperature for 2010

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2010 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719554.v1
title: Global 1 km resolution daily near-surface air temperature for 2011

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2011 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719667.v1
title: Global 1 km resolution daily near-surface air temperature for 2012

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2012 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719806
title: Global 1 km resolution daily near-surface air temperature for 2013

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2013 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719806.v1
title: Global 1 km resolution daily near-surface air temperature for 2013

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2013 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719806.v2
title: Global 1 km resolution daily near-surface air temperature for 2013

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2013 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719873.v1
title: Global 1 km resolution daily near-surface air temperature for 2014

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2014 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19726066.v1
title: Global 1 km resolution daily near-surface air temperature for 2016

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2016 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.6084/m9.figshare.21909627
title: Zhang_Zagha_code_data_revision

description: A. What is this? Codes and data in this folder are used in the article titled "Motor Cortex Gates Distractor Stimulus Encoding in Sensory Cortex" by Zhaoran Zhang and Dr. Edward Zagha. Data in this folder are collected by Zhaoran Zhang. Scripts in this folder are written by Zhaoran Zhang. <br> B. What does it include? This folder contains 4 parts: 1.example sessions of original data; 2.preprocessed data; 3.MatLab scripts for plotting figures using original data or preprocessed data, depending on certain plots; 4.MatLab functions needed for running the scripts. <br> C. How to use it? 1. Software: The code in this folder is based on Matlab (R2019b). Certain toolbox might be required to run the code. Other version of Matlab should also be fine, but there might be small errors relating to Matlab functions. 2. Code and data: 2.1 After downloading the folder, please unzip it and save it directly in C drive. (If C drive is not available, data pathways in the code need to be modified accordingly.) 2.2 Open Matlab. Copy and paste "C:\Zhang_Zagha_code_data_revision\functions" in the Current Directory, then press "Enter". 2.3 Right click the blank space in current folder. Click "Add to Path", then click "Current Folder". 2.4 Open any code script in Matlab. 2.5 Use "Run and Advance" to obtain all the figures. No need to make any change in the code.
DOI: 10.6084/m9.figshare.21909627.v1
title: Zhang_Zagha_code_data_revision

description: A. What is this? Codes and data in this folder are used in the article titled "Motor Cortex Gates Distractor Stimulus Encoding in Sensory Cortex" by Zhaoran Zhang and Dr. Edward Zagha. Data in this folder are collected by Zhaoran Zhang. Scripts in this folder are written by Zhaoran Zhang. <br> B. What does it include? This folder contains 4 parts: 1.example sessions of original data; 2.preprocessed data; 3.MatLab scripts for plotting figures using original data or preprocessed data, depending on certain plots; 4.MatLab functions needed for running the scripts. <br> C. How to use it? 1. Software: The code in this folder is based on Matlab (R2019b). Certain toolbox might be required to run the code. Other version of Matlab should also be fine, but there might be small errors relating to Matlab functions. 2. Code and data: 2.1 After downloading the folder, please unzip it and save it directly in C drive. (If C drive is not available, data pathways in the code need to be modified accordingly.) 2.2 Open Matlab. Copy and paste "C:\Zhang_Zagha_code_data_revision\functions" in the Current Directory, then press "Enter". 2.3 Right click the blank space in current folder. Click "Add to Path", then click "Current Folder". 2.4 Open any code script in Matlab. 2.5 Use "Run and Advance" to obtain all the figures. No need to make any change in the code.
DOI: 10.25380/iastate.19733856.v1
title: Global 1 km resolution daily near-surface air temperature for 2015

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2015 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19733463.v1
title: Global 1 km resolution daily near-surface air temperature for 2017

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2017 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.5066/p9efzvg8
title: Riparian vegetation, topography, and ground cover constituents along the Upper Colorado River near Moab, UT (2010-2017) (ver. 1.1, Jan 2023)

description: The data release presents observations of riparian vegetation, topography, and ground cover in two river reaches of the Upper Colorado River within a river segment extending 208 river kilometers (rkm), from near the Colorado/Utah border to the confluence of the Green River. Methods included field observations and analysis of the plant community five times over eight years in the fall of 2010, 2012, 2013, 2015 and 2017, encompassing a second cycle of biocontrol-induced dieback of invasive Tamarix spp. shrubs. The data release includes four .csv files related to field observations: UTM coordinates of field transects; vegetation, topography and ground surface information at the pinpoint level and at the transect level; and species codes.
DOI: 10.25380/iastate.19735485
title: Global 1 km resolution daily near-surface air temperature for 2018

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2018 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185