cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8226680
title: ELITE emissivity: global land 1km 8-day BBE at SIN Grid (2010)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global land BBE product at 1km spatial resolution and 8-day temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2015 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2014; 2016). This is the ELITE BBE product in 2010. Please <strong><em>click here</em></strong> to download the ELITE BBE product in 2009 and <strong><em>click here</em></strong> to download the ELITE LST product in 2011. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 8-day Data Format: HDF Scale: 0.0001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., & Liang, S. (2014). Estimating the broadband longwave emissivity of global bare soil from the MODIS shortwave albedo product.<em> Journal of Geophysical Research Atmospheres</em>, 119(2), 614-634. Cheng, J., Liang, S., Verhoef, W., Shi, S., & Liu, Q. (2016). Estimating the Hemispherical Broadband Longwave Emissivity of Global Vegetated Surfaces Using a Radiative Transfer Model. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54(2), 905-917. If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8226749
title: ELITE emissivity: global land 0.05° CMG 8-day BBE (2010)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global land BBE product at 0.05° spatial resolution and 8-day temporal resolution. It is provided on a climate modeling grid (CMG) and ranges from 1981 to 2022 (continuously updated). This dataset was generated from the Advanced Very High Resolution Radiometer (AVHRR) data using the algorithm developed by Cheng et al. (2013). This is the ELITE BBE product in 2010. Please <strong><em>click here</em></strong> to download the ELITE BBE product in 2009 and <strong><em>click here</em></strong> to download the ELITE LST product in 2011. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 0.05° Temporal Resolution: 8-day Data Format: HDF Scale: 0.0001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., & Liang, S. (2013). Estimating global land surface broadband thermal-infrared emissivity from the Advanced Very High Resolution Radiometer optical data. <em> </em> <em>International Journal of Digital Earth,</em> 6(2), 34-49. If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8226748
title: ELITE emissivity: global land 0.05° CMG 8-day BBE (2010)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE global land BBE product at 0.05° spatial resolution and 8-day temporal resolution. It is provided on a climate modeling grid (CMG) and ranges from 1981 to 2022 (continuously updated). This dataset was generated from the Advanced Very High Resolution Radiometer (AVHRR) data using the algorithm developed by Cheng et al. (2013). This is the ELITE BBE product in 2010. Please <strong><em>click here</em></strong> to download the ELITE BBE product in 2009 and <strong><em>click here</em></strong> to download the ELITE LST product in 2011. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 0.05° Temporal Resolution: 8-day Data Format: HDF Scale: 0.0001 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., & Liang, S. (2013). Estimating global land surface broadband thermal-infrared emissivity from the Advanced Very High Resolution Radiometer optical data. <em> </em> <em>International Journal of Digital Earth,</em> 6(2), 34-49. If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.34740/kaggle/dsv/6386806
title: Michelin Guide Restaurants
DOI: 10.25345/c51834c7p
title: MassIVE MSV000092785 - Glycerophospholipid_IM_MS_Mouse_Brain
title: Dysregulated glycerophospholipid (GP) metabolism in the brain is associated with the progression of neurodegenerative diseases including Alzheimer's disease (AD). Mainstream liquid chromatography-mass spectrometry (LC-MS)-based large-scale lipidomic methods often fail to elucidate subtle yet important structural features such as sn-position, hindering the precise interrogation of GP molecules. Leveraging high-resolution demultiplexing (HRdm) ion mobility spectrometry (IMS), we developed a four-dimensional (4D) lipidomic strategy to resolve GP sn-position isomers.
DOI: 10.5281/zenodo.8299111
title: Legacy seismic data for large repeating earthquakes in Mexico

description: In this dataset we include, in two different compressed files:1) a set of images of scanned Galitzin legacy seismograms recorded at the De Bilt Seismological Station, The Netherlands, corresponding to different large Mexican earthquakes (M&gt;7.0) occurred between 1928 and 1978, and 2) the corresponding vectorized and corrected data. <br> Description of compressed files: 1. DBN-Vectorized-Seismograms.zip , that contains the vectorized data. 2. DBN-Scanned-Galitzin-Seismograms.zip , that contains the scanned images of seismograms. Description of the files: 1. Naming of Data Files.<br> Data are archived in XY ASCII files. The files are named as: STN_yyyy_mm_dd_C_p?.txt. Here: STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br> p? represents the segment (0, 1, or 2) when applicable. Seismograms are sometimes divided in more than one segment (up to 3). The first segment is labeled P0. Subsequent segments are named P1 and P2. 2. Naming of Scanned images.<br> Data are archived in JPG images. The files are named as: STN_yyyy_mm_dd_C.jpg. Here: STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br>
DOI: 10.5281/zenodo.8299110
title: Legacy seismic data for large repeating earthquakes in Mexico

description: In this dataset we include, in two different compressed files:1) a set of images of scanned Galitzin legacy seismograms recorded at the De Bilt Seismological Station, The Netherlands, corresponding to different large Mexican earthquakes (M&gt;7.0) occurred between 1928 and 1978, and 2) the corresponding vectorized and corrected data. <br> Description of compressed files: 1. DBN-Vectorized-Seismograms.zip , that contains the vectorized data. 2. DBN-Scanned-Galitzin-Seismograms.zip , that contains the scanned images of seismograms. Description of the files: 1. Naming of Data Files.<br> Data are archived in XY ASCII files. The files are named as: STN_yyyy_mm_dd_C_p?.txt. Here: STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br> p? represents the segment (0, 1, or 2) when applicable. Seismograms are sometimes divided in more than one segment (up to 3). The first segment is labeled P0. Subsequent segments are named P1 and P2. 2. Naming of Scanned images.<br> Data are archived in JPG images. The files are named as: STN_yyyy_mm_dd_C.jpg. Here: STN refers to the Station identification code<br> yyyy stands for the four-digit year<br> mm designates the two-digit month<br> dd signifies the two-digit day<br> C indicates the Component (either Z, NS, or EW)<br>
DOI: 10.6084/m9.figshare.24038790.v2
title: A high-resolution dataset for future compound hot-dry events under climate change

description: a compound hot-dry events (CHDEs) dataset was developed from 1980 to 2100 under various socioeconomic scenarios, using the latest NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) dataset. Results show close alignment with estimated values from National Meteorological Information Center (NMIC) daily dataset, both temporally and spatially.
DOI: 10.6084/m9.figshare.24055002
title: sequencing report

description: RNA quality analysis and sequencing result
DOI: 10.6084/m9.figshare.24055002.v1
title: sequencing report

description: RNA quality analysis and sequencing result
DOI: 10.18454/mca.2023.39.1.1
title: Основные параметры изменения погоды по месяцам с сентября 2021 г. по август 2022 г.

description: Современное строительство и архитектура, Выпуск 8 (39) 2023
DOI: 10.18454/mca.2023.39.1.6
title: Образовавшиеся грибы в период времени с сентября 2021 года по август 2022 года

description: Современное строительство и архитектура, Выпуск 8 (39) 2023
DOI: 10.18454/mca.2023.39.2.6
title: Сравнительная характеристика материалов

description: Современное строительство и архитектура, Выпуск 8 (39) 2023
DOI: 10.6084/m9.figshare.24055320
title: Diffferentially expressed gene

description: Diffferentially expressed gene Periodontitis vs control
DOI: 10.6084/m9.figshare.24055320.v1
title: Diffferentially expressed gene

description: Diffferentially expressed gene Periodontitis vs control
DOI: 10.6084/m9.figshare.24055389
title: Gene regulatory network and Master regulators

description: regulatory networks and master regulators based on experimental periodontitis data
DOI: 10.34740/kaggle/dsv/6386993
title: UCL | Matches & Players Data
DOI: 10.6084/m9.figshare.24055182
title: Data.xlsx- <b>RNA interference mediated silencing of </b><i><b>NOA</b></i><b> and </b><i><b>V-ATPase</b></i><b> subunit </b><i><b>D </b></i><b>genes results in deformities and mortality in </b><i><b>Bactrocera dorsalis</b></i><b> (Hendel 1912)</b>

description: The results obtained in the above experiments were analyzed studied using SAS (SAS software, South Carolina University, USA) (Rodriguez 2011) software. Relative expression of both genes and percent mortality among two RNAi feeding experiments were compared using an independent t-test. To compare mortality rate between different developmental stages during RNAi feeding experiments, one-way ANOVA was conducted followed by Tukey’s multiple comparisons as <i>post hoc</i> test. The feeding investigation based on RNAi was conducted for two successive years, each with three replications. The significance level was considered as p&lt; 0.05 for all the tests.
DOI: 10.6084/m9.figshare.24055182.v1
title: Data.xlsx- <b>RNA interference mediated silencing of </b><i><b>NOA</b></i><b> and </b><i><b>V-ATPase</b></i><b> subunit </b><i><b>D </b></i><b>genes results in deformities and mortality in </b><i><b>Bactrocera dorsalis</b></i><b> (Hendel 1912)</b>

description: The results obtained in the above experiments were analyzed studied using SAS (SAS software, South Carolina University, USA) (Rodriguez 2011) software. Relative expression of both genes and percent mortality among two RNAi feeding experiments were compared using an independent t-test. To compare mortality rate between different developmental stages during RNAi feeding experiments, one-way ANOVA was conducted followed by Tukey’s multiple comparisons as <i>post hoc</i> test. The feeding investigation based on RNAi was conducted for two successive years, each with three replications. The significance level was considered as p&lt; 0.05 for all the tests.
DOI: 10.5281/zenodo.8300109
title: Comparison of Tele Dentistry with Clinical Diagnosis (on-site) by Employing ICDAS in the Population of Rawalpindi & Islamabad: A Validation Study

description: The study was cross sectional validation study was done from Jan 2022 to Jan 2023 in private<br> clinics of Rawalpindi and Islamabad in which tele dental diagnosis was compared with onsite<br> clinical diagnosis by using the instrument of ICDAS. A dentist primarily examined the patient<br> caries than that same patient was diagnosed by another dentist through photographs, which<br> were taken by patients’ attendant on verbal guidelines by a dentist. later, this whole data was<br> assessed by a third dentist.
DOI: 10.5281/zenodo.8300108
title: Comparison of Tele Dentistry with Clinical Diagnosis (on-site) by Employing ICDAS in the Population of Rawalpindi & Islamabad: A Validation Study

description: The study was cross sectional validation study was done from Jan 2022 to Jan 2023 in private<br> clinics of Rawalpindi and Islamabad in which tele dental diagnosis was compared with onsite<br> clinical diagnosis by using the instrument of ICDAS. A dentist primarily examined the patient<br> caries than that same patient was diagnosed by another dentist through photographs, which<br> were taken by patients’ attendant on verbal guidelines by a dentist. later, this whole data was<br> assessed by a third dentist.
DOI: 10.5281/zenodo.8151769
title: Data for A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers

description: This repository contains dataset for the paper entitled "A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers".
DOI: 10.6084/m9.figshare.24055539
title: Periodontitis_gene-level_DESeq_norm_matrix_WT

description: normalized expression matrix
DOI: 10.6084/m9.figshare.24055539.v1
title: Periodontitis_gene-level_DESeq_norm_matrix_WT

description: normalized expression matrix
DOI: 10.5281/zenodo.8300101
title: Data for A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers

description: This repository contains dataset for the paper entitled "A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers". The magnitude of inverse energy cascade flux is revised in version 2.0 according to Xia et al. (2009) (https://doi.org/10.1063/1.3275861).
DOI: 10.5281/zenodo.8151768
title: Data for A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers

description: This repository contains dataset for the paper entitled "A Physical Model for the Observed Inverse Energy Cascade in Typhoon Boundary Layers". The magnitude of inverse energy cascade flux is revised in version 2.0 according to Xia et al. (2009) (https://doi.org/10.1063/1.3275861).
DOI: 10.5281/zenodo.8294716
title: South East Australian Coastal Ocean Forecast System (SEA-COFS)

description: A suite of high resolution hydrodynamic ocean models for south eastern Australia that form the South East Australian Coastal Ocean Forecast System (SEA-COFS).<br> <br> The modelling suite includes output from several different configurations of the Regional Ocean Modeling System hydrodynamic simulation of the East Australian Current (EAC) System. These various model configurations include free running hindcast models, data assimilating state estimates, ocean forecasts and various nested high resolution runs. There is also a biogeochemical configuration of the fennel model on the EAC parent grid.<br> <br> At the time of upload there were four model grids (check later versions for new and revised / extended grids). The SEA-COFS domain covers the southeastern Australia oceanic region from 25.1-41.5 S and 147.1-162.2 E. <br> <strong>SEACOFS_EAC_Grid.nc</strong> Is the parent grid of the EAC Domain 2.5-6km resolution Kerry, C. G. and M. Roughan, (2020). A high-resolution, 22-year, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System. UNSW.dataset. 10.26190/5e683944e1369. Kerry, C. G. and M. Roughan,<strong> </strong>Powell, Brian, Oke, Peter (2020). A high-resolution reanalysis of the East Australian Current System assimilating an unprecedented observational data set using 4D-Var data assimilation over a two-year period (2012-2013). Version 2017. UNSW.dataset. 10.26190/5ebe1f389dd87. <br> Kerry, C. , Powell, B. Roughan, M. and Oke, P. (2016) Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation. Geosci. Model Dev, 9, 3779-3801, 10.5194/gmd-9-3779-2016<br> <strong>SEACOFS_CoffsHarbour_Grid.nc</strong> Coffs Harbour Region 0.75-1km resolution Kerry, C., Roughan, M., & Powell, B. (2020). Predicting the submesoscale circulation inshore of the East Australian Current. Journal of Marine Systems (Vol. 204, p. 103286) <strong>SEACOFS_HSM_Grid.nc</strong> - Hawkesbury Shelf Model (HSM) 750m resolution Ribbat N., M. Roughan, B. Powell, C. Kerry, S. Rao, (2020). A high-resolution (750m) free-running hydrodynamic simulation of the Hawkesbury Shelf region off Southeastern Australia (2012-2013) using the Regional Ocean Modeling System. UNSW.dataset. DOI: 10.26190/5ec35ca34752e. Data access and more information. <strong>SEACOFS_Narooma_Grid.nc </strong> Narooma Model 0.75-1km resolution<br> <br> <strong>EAC_BGC Fennel Model </strong> Rocha, C., Edwards, C. A., Roughan, M., Cetina-Heredia, P., & Kerry, C. (2019) A high-resolution biogeochemical model (ROMS 3.4 + bio_Fennel) of the East Australian Current system Geosci. Model Dev., 12, 441-456
description: We acknowledge funding from the Australian Research Council including grants: DP230100505, LP220100515, LP170100498, LP160100162, LP150100064, DP140102337, LP120100592
DOI: 10.5281/zenodo.8294715
title: South East Australian Coastal Ocean Forecast System (SEA-COFS)

description: A suite of high resolution hydrodynamic ocean models for south eastern Australia that form the South East Australian Coastal Ocean Forecast System (SEA-COFS).<br> <br> The modelling suite includes output from several different configurations of the Regional Ocean Modeling System hydrodynamic simulation of the East Australian Current (EAC) System. These various model configurations include free running hindcast models, data assimilating state estimates, ocean forecasts and various nested high resolution runs. There is also a biogeochemical configuration of the fennel model on the EAC parent grid.<br> <br> At the time of upload there were four model grids (check later versions for new and revised / extended grids). The SEA-COFS domain covers the southeastern Australia oceanic region from 25.1-41.5 S and 147.1-162.2 E. <br> <strong>SEACOFS_EAC_Grid.nc</strong> Is the parent grid of the EAC Domain 2.5-6km resolution Kerry, C. G. and M. Roughan, (2020). A high-resolution, 22-year, free-running, hydrodynamic simulation of the East Australia Current System using the Regional Ocean Modeling System. UNSW.dataset. 10.26190/5e683944e1369. Kerry, C. G. and M. Roughan,<strong> </strong>Powell, Brian, Oke, Peter (2020). A high-resolution reanalysis of the East Australian Current System assimilating an unprecedented observational data set using 4D-Var data assimilation over a two-year period (2012-2013). Version 2017. UNSW.dataset. 10.26190/5ebe1f389dd87. <br> Kerry, C. , Powell, B. Roughan, M. and Oke, P. (2016) Development and evaluation of a high-resolution reanalysis of the East Australian Current region using the Regional Ocean Modelling System (ROMS 3.4) and Incremental Strong-Constraint 4-Dimensional Variational (IS4D-Var) data assimilation. Geosci. Model Dev, 9, 3779-3801, 10.5194/gmd-9-3779-2016<br> <strong>SEACOFS_CoffsHarbour_Grid.nc</strong> Coffs Harbour Region 0.75-1km resolution Kerry, C., Roughan, M., & Powell, B. (2020). Predicting the submesoscale circulation inshore of the East Australian Current. Journal of Marine Systems (Vol. 204, p. 103286) <strong>SEACOFS_HSM_Grid.nc</strong> - Hawkesbury Shelf Model (HSM) 750m resolution Ribbat N., M. Roughan, B. Powell, C. Kerry, S. Rao, (2020). A high-resolution (750m) free-running hydrodynamic simulation of the Hawkesbury Shelf region off Southeastern Australia (2012-2013) using the Regional Ocean Modeling System. UNSW.dataset. DOI: 10.26190/5ec35ca34752e. Data access and more information. <strong>SEACOFS_Narooma_Grid.nc </strong> Narooma Model 0.75-1km resolution<br> <br> <strong>EAC_BGC Fennel Model </strong> Rocha, C., Edwards, C. A., Roughan, M., Cetina-Heredia, P., & Kerry, C. (2019) A high-resolution biogeochemical model (ROMS 3.4 + bio_Fennel) of the East Australian Current system Geosci. Model Dev., 12, 441-456
description: We acknowledge funding from the Australian Research Council including grants: DP230100505, LP220100515, LP170100498, LP160100162, LP150100064, DP140102337, LP120100592
DOI: 10.25573/data.21422193.v10
title: BHL Optical Character Recognition (OCR) - Full Text Export (new)

description: The dataset contains a full export of the 60+ million pages of OCR content in the Biodiversity Heritage Library, for items hosted by BHL. For contextual information and key definitions about this dataset see the <strong>Biodiversity Heritage Library Open Data Collection</strong> and the data dictionary below. <strong>Data Dictionary: </strong>s.si.edu/bhlocrtxt <strong>Release Date: </strong>the 17th of each month <strong>Frequency: </strong>Monthly <strong>bureauCode:</strong> 452:11 <strong>Access Level:</strong> public
DOI: 10.11588/data/qsniq2/vcinkn
title: readme.txt

description: :unav
DOI: 10.11588/data/qsniq2/17mm37
title: annotations.ttl

description: :unav
DOI: 10.11588/data/qsniq2/ghgzan
title: maicubeda.ttl

description: :unav
DOI: 10.11588/data/qsniq2/lg6zkx
title: linemetadata.tab

description: :unav
DOI: 10.11588/data/qsniq2/jcrrde
title: utils.zip

description: :unav
DOI: 10.11588/data/qsniq2/uclvq9
title: MaiCuBeDa_Documentation.pdf

description: :unav
DOI: 10.11588/data/qsniq2/oxqbr4
title: translitmetadata.csv

description: :unav