cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25390/caryinstitute.11689263.v4
title: Cary Environmental Monitoring Program UVB Solar Radiation Data: 2000-2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2021 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.
DOI: 10.5281/zenodo.7038020
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7060460
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7061601
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7382625
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7382994
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7383069
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7415148
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7472194
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.5281/zenodo.7529593
title: Create regions file test

description: This file is software to test the automized download
DOI: 10.18728/igb-fred-809.3
title: EPT Ecuador

description: EPT Ecuador Study site: Ecuador, various locations. Authors: Blanca Rios-Touma & Ralph Holzenthal. Contact details: Blanca Rios-Touma. E-mail: blanca.rios@udla.edu.ec. ORCID: https://orcid.org/0000-0002-3921-0908. Affiliation: Universidad de Las Américas, Ecuador. Ralph Holzenthal. E-mail: holze001@umn.edu. ORCID: https://orcid.org/0000-0003-1853-6340. Affiliation: University of Minnesota Insect Collection. Coordinates of the bounding box (ulx, uly, lrx, lry): -78.78233, 0.32495, -76.14602, -2.243183333 Centroid coordinates (x,y): -77.339502,-0.115912 Number of records: 388 The dataset includes records in areas: Not protected on the observation date (0) Protected on the observation date (1) Protected on a date following the observation date (2) using the November 2022 version of the Protected Planet WDPA WD-OECM dataset (Protected Planet: World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM), UNEP-WCMC and IUCN, 2022). Please see publication for further information. Freshwater Ecoregions of the World (FEOW, Abell et al., 2008) covered: 301,312,313,316 Taxonomic focus of the study: Aquatic insects Survey methods: Kick net (3 minute multihabitat sample), Surber Sampler (30 cm x 30 cm) for benthic samples, Light Trap (2 hour dusk sample) for terrestrial samples
DOI: 10.5281/zenodo.7528904
title: Tables of the Supplementary Material for Tomás-etal_2023

description: This folder includes Excel files that contain the information of all the tables of the Supplementary Material of Tomás-etal_2023.
DOI: 10.5281/zenodo.7528903
title: Tables of the Supplementary Material for Tomás-etal_2023

description: This folder includes Excel files that contain the information of all the tables of the Supplementary Material of Tomás-etal_2023.
DOI: 10.5281/zenodo.7529597
title: Tables of the Supplementary Material for Tomás-etal_2023

description: This folder includes Excel files that contain the information of all the tables of the Supplementary Material of Tomás-etal_2023.
DOI: 10.4121/21856662.v1
title: Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

description: This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion cotrolled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED. <strong>References:</strong> Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy. Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084
DOI: 10.4121/21856662.v2
title: Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

description: This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion controlled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED. <strong>References:</strong> Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy. Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084
DOI: 10.4121/21856662.v3
title: Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

description: This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion controlled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED. <strong>References:</strong> Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy. Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084
DOI: 10.4121/21856662
title: Dataset supporting the publication: A method for identifying the dominant meteorological factors of atmospheric evaporative demand in mid-long term

description: This Excel file (Data.xlsx) provides the geographic locations of 29 weather stations in the Huaihe River Basin of China and the areal proportion controlled by each station, as well as the meteorological data and atmospheric evaporation demand (AED) data (January 1st 1960 to December 31st 2020) for each station. Specifically, the areal proportion controlled by each station is calculated by the Thiessen polygon method (Hwang, et al., 2020). The meteorological data cover daily sunshine hours, daily average air temperature, daily wind speed, daily relative humidity, daily maximum temperature, daily minimum temperature, and daily average atmospheric pressure. Moreover, the AED is represented by reference crop evapotranspiration that is calculated by the FAO Penman-Monteith model (Allen et al., 1998). These data are used to prove the rationality and effectiveness of the anomaly contribution analysis, which aims to identify the dominant meteorological factors for the AED in mid-long term, and to display detailed temporal driving patterns of different factors on the AED. <strong>References:</strong> Allen, R.G., Pereira, L.S., Raes, D., Smith, M., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper No. 56 Food and Agriculture Organization, Rome, Italy. Hwang, S.H., Kim, K.B., Han, D., 2020. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data. J. Hydrol. 588, 125084. https://doi.org/10.1016/j.jhydrol.2020.125084
DOI: 10.4121/21858717.v1
title: Reprocessed MODIS Version 6.1 Leaf Area Index dataset

description: Introduction The leaf area index (LAI) data sets were generated by reprocessing the MODIS version 6.1 LAI products. The raw data used include the MODIS LAI Version 6.1 products MCD15A2H (2002.7.4-2021), MOD15A2H (2000.2.18-2002.6.26) (Myneni et al., 2021) and MODIS Land Cover Type product MCD12Q1 (2001-2021) (Friedl and Sulla-Menashe, 2022). The algorithm is mainly based on the two-step integrated method developed by Yuan et al. (2011), and the method of background value calculation was updated. For each year being reprocessed, the nearest 9-year data include itself are used. We use the corresponding year's land cover data for calculating the multi-year average, local per class mean, per class mean and multi-year per class mean (ref. Fig. 4, Yuan et al., 2011). Data description These monthly LAI data were provided at 0.5-degree resolution covering the period 2000-2021. Data of each year is stored in one NetCDF file, namely lai_monthly_0.5_{YEAR}.nc. For LAI data with more spatial or temporal resolutions, see Land-Atmosphere Interaction Research Group at Sun Yat-sen University (bnu.edu.cn). Caution The reprocessed data for downloading consists two MODIS version 6.1 products, i.e., MCD15A2H (2002.7.4-2021) and MOD15A2H (2000.2.18-2002.6.26). The prefix “MCD” stands for a combined product, whose algorithm chooses the best pixel available from all the acquisitions of both MODIS sensors located on NASA’s Terra and Aqua satellites, while “MOD” data are retrieved only from the Terra satellite. We have found that their temporal-mean values were different especially in the equatorial region, which may result in an unrealistic trend (see Lin et al., 2022 for detailed discussion). Therefore, attention should be paid when using the reprocessed products for long-term trend analysis and data starting from year 2003 (i.e., only MCD) was recommended for LAI trend study. <strong>Data citation</strong> Lin, W. et al., 2022. Reprocessed MODIS Version 6.1 Leaf Area Index dataset and its evaluation for land surface and climate modeling. Submitted. Yuan, H., Dai, Y., Xiao, Z., Ji, D., Shangguan, W., 2011. Reprocessing the MODIS Leaf Area Index Products for Land Surface and Climate Modelling. Remote Sensing of Environment, 115(5), 1171-1187. doi:10.1016/j.rse.2011.01.001
DOI: 10.4121/21762680.v1
title: Data, Scripts & Model underlying the publication: Early indicators of tidal ecosystem shifts are robust across estuaries

description: Data & Scripts featured in the currently unpublished manuscript (as of 22-12-2022) Fivash et al. 2023: 'Early geomorphic indicators of tidal ecosystem shifts are robust across estuaries'. This study explores the role of micro-topographic patterns on tidal flats as indicators of imminent marsh establishment in three European estuaries, through geospatial analysis and simple numerical modeling. These files include the data and scripts used to create each figure in the manuscript.
DOI: 10.4121/21762680
title: Data, Scripts & Model underlying the publication: Early indicators of tidal ecosystem shifts are robust across estuaries

description: Data & Scripts featured in the currently unpublished manuscript (as of 22-12-2022) Fivash et al. 2023: 'Early geomorphic indicators of tidal ecosystem shifts are robust across estuaries'. This study explores the role of micro-topographic patterns on tidal flats as indicators of imminent marsh establishment in three European estuaries, through geospatial analysis and simple numerical modeling. These files include the data and scripts used to create each figure in the manuscript.
DOI: 10.4121/21840894.v1
title: Experiment results supporting the master thesis Scaling Up, Staying Secure

description: Experiments results pertaining to the thesis found at: link. A grid simulation was run to find the impact of an oligopolistic DER market on the cybersecurity risks that a Smart Grid would face. Inputs are grid and attack parameters, outputs are grid warnings and errors. Created by the experimentation folder software found at model software. <br> Please see README.md for the parameters used. <br>
DOI: 10.4121/21840894
title: Experiment results supporting the master thesis Scaling Up, Staying Secure

description: Experiments results pertaining to the thesis found at: link. A grid simulation was run to find the impact of an oligopolistic DER market on the cybersecurity risks that a Smart Grid would face. Inputs are grid and attack parameters, outputs are grid warnings and errors. Created by the experimentation folder software found at model software. <br> Please see README.md for the parameters used. <br>
DOI: 10.4121/21836289.v1
title: TIPE2, RELA(NF-κb p65), TNF-α, IL-10, IL-6, and IL-1β mRNA expression in peripheral blood mononuclear cells from patients with psoriasis vulgaris

description: The present study intended to detect the expression levels of TIPE2 mRNA in the peripheral blood mononuclear cells (PBMCs) of psoriasis vulgaris patients and analyze the correlation between TIPE2 and other inflammatory cytokines variations in psoriasis vulgaris pathogenesis. Thirty-three patients with psoriasis vulgaris and 31 healthy volunteers were enrolled in the study. The mRNA expression of TIPE2, RELA(NF-κb p65), TNF-α, IL-10, IL-6, and IL-1β in PBMCs was determined using RT-qPCR. The severity of psoriasis vulgaris was determined according to the PASI(psoriasis area and severity index) score.
DOI: 10.4121/21836289
title: TIPE2, RELA(NF-κb p65), TNF-α, IL-10, IL-6, and IL-1β mRNA expression in peripheral blood mononuclear cells from patients with psoriasis vulgaris

description: The present study intended to detect the expression levels of TIPE2 mRNA in the peripheral blood mononuclear cells (PBMCs) of psoriasis vulgaris patients and analyze the correlation between TIPE2 and other inflammatory cytokines variations in psoriasis vulgaris pathogenesis. Thirty-three patients with psoriasis vulgaris and 31 healthy volunteers were enrolled in the study. The mRNA expression of TIPE2, RELA(NF-κb p65), TNF-α, IL-10, IL-6, and IL-1β in PBMCs was determined using RT-qPCR. The severity of psoriasis vulgaris was determined according to the PASI(psoriasis area and severity index) score.
DOI: 10.4121/21814998.v1
title: I.AM. archive containing long-range tossing experiments for Trajectory Based Parameter Identification of Box004

description: I.AM. archive as part of the Impact-Aware Robotics Archives Collection. This archive contains recordings of experiments that are executed under the scenario of TOSS. In these recordings, Box004 is manually tossed on a stationary conveyor belt. The purpose of these experiments is to obtain data for trajectory based parameter identification as part of a modeling framework. This modeling framework is used within the H2020 I.AM. project (www.i-am-project.eu) to predict the end pose of a certain box on a conveyor belt, after it is tossed. This means that the involved contact is between the object and the environment, which in these recordings are Box004 and a conveyor, respectively. All the recordings in the archive were performed at the Innovation Lab of Vanderlande, located within the TU/e campus. More information can be found on https://impact-aware-robotics-database.tue.nl/.
DOI: 10.4121/21835773.v1
title: Data presented in the paper "Micromechanical model for off-axis creep rupture in unidirectional composites undergoing finite strains"

description: Tex files containing data used for plots in the paper.
DOI: 10.4121/21778979.v1
title: Revised Data underlying the publication: Significant Increase in Prostaglandin E-Major Urinary Metabolite with Physical Exercise Suggesting Muscle Inflammation

description: To find inflammation in muscles during physical exercise, prostaglandin E-major urinary metabolite (PGE-MUM) was examined in high school boys belonging to a soccer club. Void urines were obtained at each five-time point in studies 1 (mild exercise) and 2 (repeated exercise).
DOI: 10.4121/21778979.v2
title: Revised Data underlying the publication: Significant Increase in Prostaglandin E-Major Urinary Metabolite with Physical Exercise Suggesting Muscle Inflammation

description: To find inflammation in muscles during physical exercise, prostaglandin E-major urinary metabolite (PGE-MUM) was examined in high school boys belonging to a soccer club. Void urines were obtained at each five-time point in studies 1 (mild exercise) and 2 (repeated exercise).
DOI: 10.4121/19679322
title: Data underlying the publication: "Significant increase in prostaglandin E-major urinary metabolite with physical exercise suggesting muscle inflammation"

description: The manuscript is under review for publication. Law data (excel) of physical exercises 1 and 2 is described: To find inflammation in muscles during physical exercise, prostaglandin E-major urinary metabolite (PGE-MUM) was examined in high school boys belonging to a soccer club. Void urines were obtained at each five-time point in studies 1 (mild exercise) and 2 (repeated exercise).
DOI: 10.4121/21778979
title: Revised Data underlying the publication: Significant Increase in Prostaglandin E-Major Urinary Metabolite with Physical Exercise Suggesting Muscle Inflammation

description: To find inflammation in muscles during physical exercise, prostaglandin E-major urinary metabolite (PGE-MUM) was examined in high school boys belonging to a soccer club. Void urines were obtained at each five-time point in studies 1 (mild exercise) and 2 (repeated exercise).
DOI: 10.6084/m9.figshare.21860244
title: Carotid optostimulation traces

description: carotid stimulation traces used in Ning et al
DOI: 10.6084/m9.figshare.21860244.v2
title: Carotid optostimulation traces

description: carotid stimulation traces used in Ning et al
DOI: 10.6084/m9.figshare.21860244.v1
title: carotid stimulation traces

description: carotid stimulation traces used in Ning et al
DOI: 10.5281/zenodo.7529610
title: Tonalities ontology

description: The ontology module TONALITIES, which is part of the Polifonia Ontology Network, represents concepts and relationships relating to music analysis and music-theoretical knowledge. The ontology aims at capturing the inner organization of musical works described on the basis of cadences, ambitus, imitation points, alterations, chromaticism, roots, harmonic progressions, etc. The strategy adopted is not to provide a single authoritative model, but rather to let coexist different models corresponding to different music-theoretical perspectives. This multifaceted approach helps to understand how different theoretical viewpoints, for instance on modality or tonality, affect the analytical understanding of the same musical work. The different theoretical models are imported into a main ontology that provides classes related to composers, musical works and their encoding, theoretical models and their analytical application.
DOI: 10.5281/zenodo.7529609
title: Tonalities ontology

description: The ontology module TONALITIES, which is part of the Polifonia Ontology Network, represents concepts and relationships relating to music analysis and music-theoretical knowledge. The ontology aims at capturing the inner organization of musical works described on the basis of cadences, ambitus, imitation points, alterations, chromaticism, roots, harmonic progressions, etc. The strategy adopted is not to provide a single authoritative model, but rather to let coexist different models corresponding to different music-theoretical perspectives. This multifaceted approach helps to understand how different theoretical viewpoints, for instance on modality or tonality, affect the analytical understanding of the same musical work. The different theoretical models are imported into a main ontology that provides classes related to composers, musical works and their encoding, theoretical models and their analytical application.