cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14390768.v1
title: sleep-diary-sleepmeter

description: Annotated daily sleep diary over years of a subject (author and scientific researcher) with the non-24 circadian rhythm disorder.<br>The sleep diary was manually curated using the Sleepmeter app on Android (pro version). It is duly annotated with all the controlled factors such as use of light therapy, light exposure (morning? evening?), disturbances such as noise or appointments, diet composition and timing, melatonin use, etc.<br>This should be considered the baseline biomarker of the subject's sleep-wake patterns, it is the ground truth for actigraphy and other biomarkers. The sleep diary was duly curated to minimize errors and was updated continuously everyday, once at bedtime by tapping a widget to mark the fall asleep time (with a delay from bedtime, the exact fall asleep time may not be 100% accurate but it was corrected the morning after to try to match as much as possible the subjectively estimated sleep onset delay), and on wake up by tapping again the widget as soon as the subject woke up, and then noting all the relevant comments and tags.<br>Most tags and comments pertain to the day before, although some tags and comments pertain to what happens in the day after (in the latter case, this is usually denoted in the tag name).<br>Use the latest sleep diary, it contains the whole history. Other sleep diaries are past versions, which may have some differences such as renamed tags or missing comments that were added aposteriori (sometimes months later when the culprit of a major sleep disturbance was discovered, such as secondary pernio due to long covid).<br>The sleep diary currently covers almost 2 years. Keep in mind that during the period of 2020-2022, the data was acquired while in lockdown or pseudo-lockdown most of the time due to the SaRS-nCOV-2 (COVID-19) pandemic. More data will be added in the future.<br>The files contain the whole history up to the timestamp in the filename. Hence, to study the longest period, use only the latest file, do not concatenate with previous ones.
DOI: 10.5517/ccdc.csd.cc27667x
title: CCDC 2061538: Experimental Crystal Structure Determination

description: Related Article: Bandar A. Babgi, Musab Bawazeer, Najah A. Alzaidi, Muhammad N. Arshad, Abdesslem Jedidi, Noor M. Bataweel, Ahmed M.M. Al-hejin, Mostafa A. Hussien|2021|J.Mol.Struct.|1238|130309|doi:10.1016/j.molstruc.2021.130309
DOI: 10.5281/zenodo.4699343
title: Professor

description: <strong>Targeted Chemometrics Investigations of Source-, Age- and Gender-Dependencies of Oral Cavity Malodorous Volatile Sulphur Compounds</strong> Halitosis is a highly distressing, socially-unaesthetic condition, with a very high incidence amongst the adult population. It predominantly arises from excessive oral cavity volatile sulphur compound (VSC) concentrations, which have either oral or extra-oral etiologies (90-95 and 5-10% of cases, respectively). However, reports concerning age- and gender-related influences on the patterns and concentrations of these malodorous agents remain sparse; therefore, this study’s first objective was to explore the significance and impact of these potential predictor variables. Moreover, because non-oral etiologies for halitosis may represent avatars of serious extra-oral diseases, the second objective was to distinguish between etiology- (source-) dependent patterns of oral cavity VSCs. Oral cavity VSC determinations were performed on 116 healthy human participants using a non-stationary gas chromatographic facility, and following a 4 hr. period of abstention from all non-respiratory oral activities. Participants were grouped according to age band and gender. Statistical analyses of VSC level data acquired featured both univariate/correlation and multivariate (MV) approaches. Factorial analysis-of-variance and MV analyses revealed that the levels of all VSCs monitored were independent of both age and gender. Principal component analysis (PCA) and an agglomerative hierarchal clustering strategy demonstrated that VSC predictor variables were partitioned into two components, the first arising from orally-sourced H<sub>2</sub>S and CH<sub>3</sub>SH, the second from extra-orally-sourced (CH<sub>3</sub>)<sub>2</sub>S alone (58 and 35% of total PCA variance respectively). In conclusion, oral cavity VSC concentrations appear not to be significantly influenced by age band and gender. Furthermore, (CH<sub>3</sub>)<sub>2</sub>S may serve as a valuable biomarker for selected extra-oral conditions.
DOI: 10.5281/zenodo.4420352
title: Professor

description: <strong>Targeted Chemometrics Investigations of Source-, Age- and Gender-Dependencies of Oral Cavity Malodorous Volatile Sulphur Compounds</strong> Halitosis is a highly distressing, socially-unaesthetic condition, with a very high incidence amongst the adult population. It predominantly arises from excessive oral cavity volatile sulphur compound (VSC) concentrations, which have either oral or extra-oral etiologies (90-95 and 5-10% of cases, respectively). However, reports concerning age- and gender-related influences on the patterns and concentrations of these malodorous agents remain sparse; therefore, this study’s first objective was to explore the significance and impact of these potential predictor variables. Moreover, because non-oral etiologies for halitosis may represent avatars of serious extra-oral diseases, the second objective was to distinguish between etiology- (source-) dependent patterns of oral cavity VSCs. Oral cavity VSC determinations were performed on 116 healthy human participants using a non-stationary gas chromatographic facility, and following a 4 hr. period of abstention from all non-respiratory oral activities. Participants were grouped according to age band and gender. Statistical analyses of VSC level data acquired featured both univariate/correlation and multivariate (MV) approaches. Factorial analysis-of-variance and MV analyses revealed that the levels of all VSCs monitored were independent of both age and gender. Principal component analysis (PCA) and an agglomerative hierarchal clustering strategy demonstrated that VSC predictor variables were partitioned into two components, the first arising from orally-sourced H<sub>2</sub>S and CH<sub>3</sub>SH, the second from extra-orally-sourced (CH<sub>3</sub>)<sub>2</sub>S alone (58 and 35% of total PCA variance respectively). In conclusion, oral cavity VSC concentrations appear not to be significantly influenced by age band and gender. Furthermore, (CH<sub>3</sub>)<sub>2</sub>S may serve as a valuable biomarker for selected extra-oral conditions.
DOI: 10.5281/zenodo.4706108
title: RR intervals raw data

description: Each file contains raw data of RR intervals.
DOI: 10.5281/zenodo.4706107
title: RR intervals raw data

description: Each file contains raw data of RR intervals.
DOI: 10.5517/ccdc.csd.cc22cdql
title: CCDC 1917589: Experimental Crystal Structure Determination

description: Related Article: Ligia R. Gomes, John N Low, James L. Wardell|2021|J.Mol.Struct.|1237|130354|doi:10.1016/j.molstruc.2021.130354
DOI: 10.6073/pasta/946f11ff7abd42a6591a3416e7dc94d7
title: Interagency Ecological Program: Drift invertebrate catch and water quality from the Sacramento River channel, and Sacramento River floodplain and tidal slough, collected by the Yolo Bypass Fish Monitoring Program, 1998-2019

description: Largely supported by the Interagency Ecological Program (IEP), the California Department of Water Resources (DWR) has operated a fisheries and invertebrate monitoring program in the Yolo Bypass since 1998. The main objectives of the Yolo Bypass Fish Monitoring Program (YBFMP) are to collect baseline data on lower trophic levels (phytoplankton, zooplankton and insect drift), juvenile and adult fish, hydrology, and water quality parameters. As the Yolo Bypass has been identified as a high restoration priority by the US Fish and Wildlife Service and National Marine Fisheries Service biological opinions for Delta Smelt (Hypomesus transpacificus) and winter and spring-run Chinook Salmon (Oncorhynchus tshawytscha), and by California EcoRestore, these baseline data are critical for evaluating success of future restoration projects. In addition, the data have already served to increase our understanding of the role of the Yolo Bypass in the life history of native fishes, and its ecological function in the San Francisco Estuary. Aquatic and terrestrial insects are an important component in the diet of juvenile and adult fishes within the San Francisco Estuary, including two important native fishes: juvenile Chinook Salmon and Sacramento Splittail. The YBFMP collects drift invertebrates year-round from two sites. Since 2011, samples have been collected biweekly (every other week) to weekly (during floodplain inundation) using a rectangular aquatic drift net that sits at the surface of the water. Invertebrates are identified and enumerated by contractors (currently EcoAnalysts, Inc.). The goals of the monitoring program are to compare the seasonal variations in densities and species trends of aquatic and terrestrial insects/non-insects within (1) Sacramento River channel, and (2) the Yolo Bypass, the river’s seasonal floodplain. Key findings to date: (1) Chinook Salmon sampled in the floodplain had diets comprised of 90% Dipterans and zooplankton, with Chironomidae being the dominant Diptera family (Sommer et al., 2001), (2)The floodplain of the Yolo Bypass contains significantly higher densities of Diptera (Diptera densities being positively associated with flow) and terrestrial invertebrates than the adjacent Sacramento River (Sommer et al. 2001b: Sommer et al. 2004: Sommer et al. 2007), (3) A major portion of the diet of juvenile Sacramento Splittail are chironomid larvae (Kurth and Nobriga 2001, Moyle et al. 2004, Sommer et al. 2007), and (4) The Yolo Bypass was the site of the recent discovery of a new aestivating and winter emerging chironomid; Hydrobaenus saetheri (Cranston et al. 2007).
DOI: 10.17632/7cpgytgt6s.1
title: Data for: Automated detection of sigmatism using deep learning applied to multichannel speech signal

description: The file contains three CNN 5-CH models in Matlab Deep Learning Toolbox format. The trained networks correspond to Experiments #1, #2, and #3b as described in the paper.
DOI: 10.17632/ypx6rct3n9.1
title: Data for: Magma-assisted fragmentation of Pangea: continental breakup initiation and propagation

description: Gplate shape files
DOI: 10.17632/y4fz7y5gs7.1
title: Data for: Reconstruction of the Cenozoic tectono-thermal history of the Dongpu Depression, Bohai Bay Basin, China: constraints of apatite fission-track and vitrinite reflectance data
DOI: 10.17632/sz5ntshyhh.1
title: Data for: The relationship between self-diffusion activation energy and Soret coefficient in binary liquid mixtures

description: This database was compiled from literature and analyzed for correlation between self-diffusion activation energy and Soret coefficient. It contains: names of component 1 and component 2, the mole fraction of each component, the average temperature in Kelvin at which the data was collected, the Soret coefficient measurement method, and the resulting Soret coefficient in K^(-1), as well as the reference from which the data was taken. The self-diffusion activation energies for each component can be found in the associated article.
DOI: 10.17632/w6dz55tzgh.1
title: Data for: Gender Norms and Marriage Satisfaction: Evidence from China

description: This folder contains replication materials for the paper “Gender Norms and Marriage Satisfaction: Evidence from China”. The datasets required are stored in folder “Data” The do-files to produce the tables and figures are stored in folder “Dofiles”. The outputs of the do-files are stored in folder “Output”.
DOI: 10.5281/zenodo.4706151
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.25345/c5vz32
title: MassIVE MSV000087250 - mascot search merged mgf-to mzML F018101.direct.mzid test test test test test test test test test test
title: test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test test
DOI: 10.5281/zenodo.4706153
title: RABIES_extras

description: These are installed along with RABIES (https://github.com/CoBrALab/RABIES) as part of the defaults options.
DOI: 10.5281/zenodo.4706148
title: Intermediate results objects for reproducing unbiased methylation gene set testing paper analyses

description: Intermediate results objects that can be used to replicate the analyses presented in <em>"Gene set enrichment analysis for genome-wide DNA methylation data"</em> available at https://www.biorxiv.org/content/10.1101/2020.08.24.265702v1.<br> Instructions for how to incorporate the objects into the analysis can be found at: http://oshlacklab.com/methyl-geneset-testing/gettingStarted.html and the complete analysis code can be cloned from: https://github.com/Oshlack/methyl-geneset-testing.
DOI: 10.5281/zenodo.4005287
title: Intermediate results objects for reproducing unbiased methylation gene set testing paper analyses

description: Intermediate results objects that can be used to replicate the analyses presented in <em>"Gene set enrichment analysis for genome-wide DNA methylation data"</em> available at https://www.biorxiv.org/content/10.1101/2020.08.24.265702v1.<br> Instructions for how to incorporate the objects into the analysis can be found at: http://oshlacklab.com/methyl-geneset-testing/gettingStarted.html and the complete analysis code can be cloned from: https://github.com/Oshlack/methyl-geneset-testing.
DOI: 10.6084/m9.figshare.14456229
title: Papua New Guinea District Level Dataset

description: The codebook and dataset in this folder pertain to Papua New Guinea.<br>They provide data at the district level on measures of human well-being, geography, language and colonial history.
DOI: 10.6084/m9.figshare.14456229.v2
title: Papua New Guinea District Level Dataset

description: The codebook and dataset in this folder pertain to Papua New Guinea.<br>They provide data at the district level on measures of human well-being, geography, language and colonial history.
DOI: 10.6084/m9.figshare.14456529.v1
title: List of China advocacy NGOs(2021)

description: List of China advocacy NGOs(2021)
DOI: 10.6084/m9.figshare.14456529
title: List of China advocacy NGOs(2021)

description: List of China advocacy NGOs(2021)
DOI: 10.6084/m9.figshare.14456532
title: Bretschneidera_sinensis.gff3

description: Gene annotation file
DOI: 10.6084/m9.figshare.14456532.v1
title: Bretschneidera_sinensis.gff3

description: Gene annotation file
DOI: 10.5281/zenodo.4606947
title: Queensland Koala Habitat Mapping

description: This dataset maps koala habitat across Queensland, excluding south-east Queensland. Predictions of koala habitat in Queensland were developed using a protocol adapted from that used to map habitat in SEQ (DES 2020). Briefly, regional ecosystems were ranked according to their predicted utility to koalas and overlaid with predictions of the environmental suitability of the landscape for koalas to generate a predicted ranking of utility of habitat for koalas in each planning unit. This dataset was developed to inform broad-scale conservation planning associated with the National Koala Recovery Plan. The spatial resolution is 1km (100ha) and it is not intended for identifying habitat at a fine scale. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. For uses within the South-East Queensland planning area we recommend using alternate mapping (DES 2020. Spatial modelling for koalas in South East Queensland: Report version 1.0. Koala Habitat Areas (KHA) v1.0). Further information is available in the report and README in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.5281/zenodo.4305179
title: Queensland Koala Habitat Mapping

description: This dataset maps koala habitat across Queensland, excluding south-east Queensland. Predictions of koala habitat in Queensland were developed using a protocol adapted from that used to map habitat in SEQ (DES 2020). Briefly, regional ecosystems were ranked according to their predicted utility to koalas and overlaid with predictions of the environmental suitability of the landscape for koalas to generate a predicted ranking of utility of habitat for koalas in each planning unit. This dataset was developed to inform broad-scale conservation planning associated with the National Koala Recovery Plan. The spatial resolution is 1km (100ha) and it is not intended for identifying habitat at a fine scale. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. For uses within the South-East Queensland planning area we recommend using alternate mapping (DES 2020. Spatial modelling for koalas in South East Queensland: Report version 1.0. Koala Habitat Areas (KHA) v1.0). Further information is available in the report and README in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.5281/zenodo.4321956
title: Harmonised koala habitat mapping

description: A harmonised map of potential koala habitat was developed for the region encompassing Queensland, New South Wales (NSW) and the Australian Capital Territory (ACT). This map represents the area (ha) and presence of koala habitat in 100ha planning units across this region. The area of habitat is equivalent to the percent coverage of habitat in each planning unit. The map was developed by harmonising existing regional habitat mapping and range-wide and regional species distribution models. Additional models of koala habitat were developed for regions where datasets of koala habitat were not available. This dataset was developed to inform broad-scale conservation planning associated with the Commonwealth Koala Recovery Plan. The spatial resolution is 100 ha (approximately 1km) and it is not intended for identifying habitat at a fine scale. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. Further information is available in the report and README in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.5281/zenodo.4305167
title: Harmonised koala habitat mapping

description: A harmonised map of potential koala habitat was developed for the region encompassing Queensland, New South Wales (NSW) and the Australian Capital Territory (ACT). This map represents the area (ha) and presence of koala habitat in 100ha planning units across this region. The area of habitat is equivalent to the percent coverage of habitat in each planning unit. The map was developed by harmonising existing regional habitat mapping and range-wide and regional species distribution models. Additional models of koala habitat were developed for regions where datasets of koala habitat were not available. This dataset was developed to inform broad-scale conservation planning associated with the Commonwealth Koala Recovery Plan. The spatial resolution is 100 ha (approximately 1km) and it is not intended for identifying habitat at a fine scale. The dataset has not been ground-truthed. Some areas identified as potential habitat may be too degraded or contain insufficient resources for koalas to occupy. Koalas may be present outside the areas identified as potential habitat. Further information is available in the report and README in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.6084/m9.figshare.14456511
title: BLS-genome-repeat-softmasked.fasta

description: <i>Bretschneidera sinensis</i> genome
DOI: 10.6084/m9.figshare.14456511.v1
title: BLS-genome-repeat-softmasked.fasta

description: <i>Bretschneidera sinensis</i> genome
DOI: 10.6084/m9.figshare.14456517.v1
title: Data for "Vegetation clearing and nutrient enrichment affect persistence of a foundation plant species in agricultural landscapes"

description: Full dataset used for analysis production of analyses in listed paper
DOI: 10.6084/m9.figshare.14456517
title: Data for "Vegetation clearing and nutrient enrichment affect persistence of a foundation plant species in agricultural landscapes"

description: Full dataset used for analysis production of analyses in listed paper
DOI: 10.5281/zenodo.4321955
title: Spatial data supporting NESP4.4.12 A national approach to the integration of koala spatial data to inform conservation planning

description: Datasets supporting planning and implementation of the National Koala Recovery Plan. NESP4.4.12 has developed criteria and datasets that will contribute towards identifying Nationally Important Koala Areas (NIKA). The purpose of such areas is to delineate broad regions within which Commonwealth conservation activities and funding for koala recovery could be prioritised, and to provide guidance for states, local government authorities and non-government organisations for regions which are important for long-term koala persistence. Details of the datasets can be found in the report and README file in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.5281/zenodo.4305157
title: Spatial data supporting NESP4.4.12 A national approach to the integration of koala spatial data to inform conservation planning

description: Datasets supporting planning and implementation of the National Koala Recovery Plan. NESP4.4.12 has developed criteria and datasets that will contribute towards identifying Nationally Important Koala Areas (NIKA). The purpose of such areas is to delineate broad regions within which Commonwealth conservation activities and funding for koala recovery could be prioritised, and to provide guidance for states, local government authorities and non-government organisations for regions which are important for long-term koala persistence. Details of the datasets can be found in the report and README file in this repository.
description: This project is supported through funding from the Australian Government's National Environmental Science Program project 4.4.12.
DOI: 10.5281/zenodo.4706090
title: Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography: Supplemental Materials

description: This is the supplemental data and code for “Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography.” The preprint for this manuscript can be found at arXiv:2103.09890. Please direct any questions to Kevin Young (kyoung@sandia.gov).
DOI: 10.5281/zenodo.4592215
title: Properties of Lunar Regolith on the Moon's Farside unveiled by Chang'E-4 Lunar Penetrating Radar

description: Pre-processed CE-4 LPR Channel-IIB data in first four lunar days
DOI: 10.6084/m9.figshare.14456559.v1
title: tested_images.mat

description: The up-sampled images in the real-time measurement test.
DOI: 10.5281/zenodo.4706183
title: Socio World-Social Research & Behavioral Sciences

description: Socio World-Social Research & Behavioral Sciences