cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fe66683665a0133b2d831e552ecbae10
title: Satellite-based remote sensing of water clarity in the shallow coastal lagoons of Virginia 2013-2021

description: This dataset contains raw data, analysis products and code for a study of satellite-based estimation of water clarity. The files are: Match-up.csv: In situ Secchi depths collected by the Virginia Coast Reserve Long Term Ecological Research project (VCR LTER), matched with satellite (Landsat-8/Sentinel-2) Secchi depth estimates from 2013-2022 from NASA SeaDAS 8.2. Satellite overpasses occurred +/- 0-1 days within in situ sampling. Valid remote sensing reflectance values (Rrs) from NASA SeaDAS (not masked by quality flags) were recovered at 12 of 17 in situ sampling sites: 6 ocean inlet sites, 2 lagoon site, and 3 mainland tidal creek sites. Therefore, there are 12 in situ sites available for comparison with satellite estimates. compare_L8S2.csv: Satellite data and water clarity estimates from 150 randomly sampled sites across 5 clear day images in the Virginia Coast Reserve, 2021. Satellite data are from Landsat-8 and Sentinel-2 and processed/atmospherically-corrected using NASA SeaDAS 8.2. The Virginia Coast Reserve is a coastal lagoon system located in Virginia, USA, near the southern tip of the Delmarva Peninsula. Due to low nitrogen inputs and frequent exchange with the Atlantic Ocean via inlets between barrier islands, water quality is high relative to many other coastal bays in the United States and worldwide. Spatial_averaging_analysis.csv: Secchi depths at in situ water quality sites at 10 m resolution (Sentinel-2 only), 30 m resolution (Landsat-8 and Sentinel-2), and 90 m resolution (Landsat-8 and Sentinel-2) where there are in situ match-ups. atmocorrect.csv: In situ Secchi depths collected by the Virginia Coast Reserve Long Term Ecological Research project (VCR LTER), matched with satellite (Landsat-8/Sentinel-2) Secchi depth estimates from 2013-2022 from NASA SeaDAS 8.2 and ACOLITE Version 2022022.00. L8_ALL.csv: All Landsat-8 Secchi depth data available between 2013-2021 at in situ water quality sites. S2_ALL.csv: All Sentinel-2 Secchi depth data available between 2015-2021 at in situ water quality sites. in_DATA.csv: All in situ water quality data 1992 - 2021 from VCR LTER (https://www.vcrlter.virginia.educgi-bin/showDataset.cgi?docid=knb-lter-vcr.247.17) L8_Level2.zip: Landsat-8 Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. S2A_Level2.zip: Sentinel-2A Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. S2B_Level2.zip: Sentinel-2B Level-2 images (NetCDF files), atmospherically-corrected and processed with NASA SeaDAS 8.2. See methods and protocols for more information. Coastal-OC-Remote-Sensing.zip Matlab code and supporting files used in data processing. Downloaded from GitHub 2022-09-30.
DOI: 10.6084/m9.figshare.23365106
title: <strong>Enhanced regional variability of seawater </strong><em><strong>p</strong></em><strong>CO</strong><sub><strong>2</strong></sub><strong> under human and natural interference in a nearshore coral nature reserve (Dongshan Island, China)</strong>

description: This dataset mainly contains discrete sampling results of carbon dioxide partial pressure and environmental parameters in seawater, as well as air-sea CO<sub>2</sub> exchange fluxes over Dongshan coral habitats in Fujian, China. The methods of sampling and analysis are described in the "Materials and Methods" section of the published article.
DOI: 10.5281/zenodo.7826382
title: Suspended particle and floc sizes in the lower most reaches of the Mississippi River during summer 2020 and winter 2021

description: Data associated with the paper: Osborn, R., Dunne, K. B. J., Ashley, T., Nittrouer, J. A., & Strom, K. (2023). The flocculation state of mud in the lowermost freshwater reaches of the Mississippi River: Spatial distribution of sizes, seasonal changes, and their impact on vertical concentration profiles. <em>Journal of Geophysical Research: Earth Surface</em>, 128, e2022JF006975. https://doi. org/10.1029/2022JF006975
DOI: 10.5281/zenodo.5958836
title: A past and present perspective on the European summer vapour pressure deficit

description: Here, we present the first gridded reconstruction of the European summer vapour pressure deficit (VPD) for the past four centuries (see https://doi.org/10.5194/essd-2022-47 for the study). The gridded reconstruction is based on 26 European tree-ring oxygen isotope records and is performed using a Random Forest approach. Furthermore, we provide summer VPD data derived from 20CRV3 for the period 1836 to 2015 (Slivinski et al., 2019). The data is structured as follows: VPD_final_nested_reconstruction.nc -&gt; contains the summer VPD reconstruction for the past 400 years CE_final_*_.nc -&gt; provides the Coefficient of Efficiency metric for each time slice of the rec. (Nash and Sutcliffe, 1970) VPD_20CR_JJA.nc -&gt; VPD data derived from 20CRV3 for the period 1836 to 2015 (Slivinski et al., 2019)
DOI: 10.5281/zenodo.7688965
title: Supporting data for Assessing clouds using satellite observations through three generations of global atmosphere models

description: Monthly data from CAM4, CAM5, and CAM6 that are needed to reproduce the analysis and figures in the manuscript entitled: Assessing clouds using satellite observations through three generations of global atmosphere models by Brian Medeiros, Jonah Shaw, Jennifer Kay, and Isaac Davis.
DOI: 10.5281/zenodo.3633408
title: MD Simulations HsGluN1/GluN2A WT/F553A

description: Molecular dynamics simulation of the HsGluN1/GluN2A WT and F553A (GluN2A) mutant. HsGluN12AA_used_1.pdb is the full-length model that was used for the simulations following truncation of the ATDs. This dataset is from "NMDA Receptor Channel Gating Control by the Pre-M1 Helix<strong>" </strong>by Miranda J. McDaniel, Kevin K. Ogden, Steven A. Kell, Pieter B. Burger, Dennis C. Liotta, and Stephen F. Traynelis (2020).
DOI: 10.5281/zenodo.7416082
title: theboogieCodeAndData

description: Gravity inversion code and output data used in the article "Bayesian gravity inversion for inferring density anomalies in planetary interiors"
DOI: 10.5281/zenodo.7672775
title: data from "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance"

description: Echolocation call parameters of three species of European bats collected between 2017-2019, recorded with a microphone array. This dataset is associated to the manuscript "Temperate bats may alter calls to partially compensate for weather-induced changes in detection distance". Included is the R script used for statistical analyses, as well as the R script used to model detection distances of different targets by bats across weather conditions.
DOI: 10.5281/zenodo.7881017
title: Simulation dataset to benchmark 3D force inference methods

description: Dataset of 47 artificial images (.tif) and corresponding segmentation masks (.tif), generated from simulations of foam-like cell structures (early embryos) of various cell numbers (2 to 11), cell sizes and interfacial tensions.<br> The ground truth simulation tensions and pressures to be inferred are provided as Numpy arrays (.npy). This dataset was used to benchmark a method to infer cellular forces in 3D from microscopy images of multicellular contours, that is available on https://github.com/VirtualEmbryo/foambryo.<br> Non-manifold multimaterial meshes corresponding to artificial microscopy images are also provided as binary files (.rec) and may be opened with our delaunay-watershed Python code, available on https://github.com/VirtualEmbryo/delaunay-watershed. <strong>Credits, contact, citations</strong><br> If you use this dataset, please cite the published version of the following preprint: <br> <em>Ichbiah, S., Delbary, F., McDougall, A., Dumollard, R., & Turlier, H. (2023). Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy. bioRxiv, 2023-04. </em>https://doi.org/10.1101/2023.04.12.536641<br> <br> We hope that this dataset may be useful to benchmark future 3D force inference methods.<br> If you have any question on this dataset, please contact Hervé Turlier. <strong>License</strong><br> Copyright (c) 2023 Turlier Lab - https://www.turlierlab.com/<br> This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.
description: These are artificial fluorescence microscopy images, created from simulations, not biological ones.
description: {"references": ["Ichbiah, Sacha, et al. (2023). Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy. bioRxiv, 2023-04."]}
DOI: 10.5517/ccdc.csd.cc1z2lwj
title: CCDC 1819758: Experimental Crystal Structure Determination

description: Related Article: Emily A. Boyd, Davide Lionetti, Wade C. Henke, Victor W. Day, James D. Blakemore|2019|Inorg.Chem.|58|3606|doi:10.1021/acs.inorgchem.8b02160
DOI: 10.15151/esrf-es-1273630605
title: Cryo-electron tomography study of bacterial wall perforation by bacteriophage T5

description: The project involves obtaining the structure of the T5 channel perforating the bacterial wall by in vivo cryo-electron tomography, to understand how the phage manages to cross the outer membrane and then the inner membrane of a minicell, and to identify and understand the role of host factors. Minicells result from an abnormal division of E. coli, leading to the formation of small, round, nucleoid-free cells of a diameter compatible with electron microscopy imaging. At phage level, we have already determined, at atomic resolution, the structure of the tail end of T5 before and after interaction with FhuA reconstituted in nanodiscs: this latter structure will be invaluable for fitting it into the sub-tomogram of averaged structures obtained by cryo-electron tomography, to understand at atomic level the perforation of the E. coli cell wall.
DOI: 10.17632/5b6syddwv9.1
title: Slope-corrected albedo

description: In sloping terrain, albedo measured in the horizontal plane is typically not representative for the underlying surface. This data contains slope-parallell, slope-corrected, and horizontally measured shortwave radiation and albedo data measured at a burial mound in Norway. It was collected for four slopes with northern, eastern, southern and western terrain aspects, and for three classes of atmospheric clearness conditions (clear, partly overcast and cloudy).
DOI: 10.57892/100-19
title: Electromagnetic induction (EMI) data at the Roman Burgus of Astheim

description: EMI data measured with the GF Instruments CMD-Explorer. Positioning was done using a Stonex s9i RTk-GNSS GPS. Measured at a Roman river fortlet (burgus) site in Hesse (Germany). During the 1st century AD the Romans performed several river alterations in the vicinity of the River Rhine in Hesse, including channels, holding anchoring sites protected by these burgi. The regarded example profiles crosses such a channel. In the middle of the assumed channel, a direct push EC-log was performed along site a hydraulic profiling tool, using a Geoprobe 540 MO system mounted to a Nordmeyer drill rig in combination with a Geoprobe K6050 HPT probe.
DOI: 10.6084/m9.figshare.23798685
title: List of articles resulting from the Google Scholar search ”graph based author name disambiguation” published after 1/1/2021

description: This dataset contains the list of articles resulting from the Google Scholar search “graph based author name disambiguation” published after 1/1/2021. The list is provided for reproducibility of the survey article “Graph-based Methods for Author Name Disambiguation: A Survey” and it was obtained using the following Python script available at https://github.com/WittmannF/sort-google-scholar:$ python sortgs.py --kw “graph based author name disambiguation” --startyear 2021The command returned the CSV file that contains the first 94 publications matching the query (articles with corrupted metadata have been excluded), each with metadata about Title, Number of Citations, and Rank. The CSV contains a column that specified which articles have been eventually selected for the survey.
DOI: 10.6084/m9.figshare.23798685.v1
title: List of articles resulting from the Google Scholar search ”graph based author name disambiguation” published after 1/1/2021

description: This dataset contains the list of articles resulting from the Google Scholar search “graph based author name disambiguation” published after 1/1/2021. The list is provided for reproducibility of the survey article “Graph-based Methods for Author Name Disambiguation: A Survey” and it was obtained using the following Python script available at https://github.com/WittmannF/sort-google-scholar:$ python sortgs.py --kw “graph based author name disambiguation” --startyear 2021The command returned the CSV file that contains the first 94 publications matching the query (articles with corrupted metadata have been excluded), each with metadata about Title, Number of Citations, and Rank. The CSV contains a column that specified which articles have been eventually selected for the survey.
DOI: 10.21227/f2m8-8q69
title: Road Surface Recognition Image

description: This data set contains four types of road images: asphalt roads and gravel roads; Wading roads and snowy roads. It is mainly used to train road recognition models. Due to the large amount of original data, this data set only contains a part of road images. If you feel it is useful for your research, please email (wangzhangu1@163.com) to get the complete data set.This data set contains four types of road images: asphalt roads and gravel roads; Wading roads and snowy roads. It is mainly used to train road recognition models. Due to the large amount of original data, this data set only contains a part of road images. If you feel it is useful for your research, please email (wangzhangu1@163.com) to get the complete data set.
DOI: 10.25403/upresearchdata.23798460
title: Regulatory framework: South African traditional medicine

description: Interviews with practitioners of traditional medicine relating to affirmation or denial of acts specially relating to the professions practising traditional medicine. The interviews are relating to the administration or prescription of medicines, with or without ritual. The names used on the files are pseudonyms.
DOI: 10.25403/upresearchdata.23798460.v1
title: Regulatory framework: South African traditional medicine

description: Interviews with practitioners of traditional medicine relating to affirmation or denial of acts specially relating to the professions practising traditional medicine. The interviews are relating to the administration or prescription of medicines, with or without ritual. The names used on the files are pseudonyms.
DOI: 10.5281/zenodo.8191807
title: Post-Typhoon Mawar UAV Orthomosaic: UOG Guam Aquaculture Development and Training Center (GADTC), aka Fadian Hatchery, Mangilao, GU

description: This orthomosaic was created from 63 images taken on 30 June 2023. Images were collected at 400 ft AGL, with a DJI Zenmuse H20 mounted on a DJI Matrice 30T UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. The resolution of the orthomosaic is 1in/px. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. The University of Guam Drone Corps (funded by NASA Guam Space Grant and NASA Guam EPSCoR) and the Western Pacific Tropical Research Center retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited. By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for damage assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and the Western Pacific Tropical Research Center disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.8191806
title: Post-Typhoon Mawar UAV Orthomosaic: UOG Guam Aquaculture Development and Training Center (GADTC), aka Fadian Hatchery, Mangilao, GU

description: This orthomosaic was created from 63 images taken on 30 June 2023. Images were collected at 400 ft AGL, with a DJI Zenmuse H20 mounted on a DJI Matrice 30T UAV. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy. The resolution of the orthomosaic is 1in/px. The following aerial imagery is intended solely for the purpose of assessing damages to the natural and built environment associated with Typhoon Mawar. Typhoon Mawar's closest approach to Guam was 24 May 2023. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. The University of Guam Drone Corps (funded by NASA Guam Space Grant and NASA Guam EPSCoR) and the Western Pacific Tropical Research Center retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited. By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for damage assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and the Western Pacific Tropical Research Center disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.26050/wdcc/ar6.c6cmkike
title: IPCC DDC: KIOST KIOST-ESM model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.KIOST.KIOST-ESM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The KIOST Earth System Model v2 climate model, released in 2018, includes the following components: atmos: GFDL-AM2.0 (cubed sphere (C48); 192 x 96 longitude/latitude; 32 vertical levels; top level 2 hPa), atmosChem: Simple carbon aerosol model (emission type), land: NCAR-CLM4, landIce: NCAR-CLM4, ocean: GFDL-MOM5.0 (tripolar - nominal 1.0 deg; 360 x 200 longitude/latitude; 52 levels; top grid cell 0-2 m; NK mixed layer scheme), ocnBgchem: TOPAZ2, seaIce: GFDL-SIS. The model was run by the Korea Institute of Ocean Science and Technology, Busan 49111, Republic of Korea (KIOST) in native nominal resolutions: atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.25442/hku.23716248.v1
title: Supporting data for " Antibody response in influenza and COVID-19"

description: Influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are the two major respiratory viruses causing pandemics in the twenty-first century. Influenza, the most prevalent respiratory viral disease, afflicted the world yearly before the Coronavirus disease 2019 (COVID-19) pandemic. Since COVID-19 emerged at the end of 2019, SARS-CoV-2 has transiently replaced influenza, resulting in an unexpected 3-year pandemic. Both influenza virus and SARS-CoV-2 have led to major surges of hospitalizations, causing a significant burden on the healthcare system. The overall aim of this thesis was to determine the population immunity of our population, which are important in guiding different public health measures.
DOI: 10.5281/zenodo.8191882
title: Dataset for the paper "Digital Competence of K-12 Pre-Service and In-Service Teachers in China: A Systematic Literature Review"

description: Resources for the Systematic Literature Review (SLR) about Digital Competence of K-12 Pre-Service and In-Service Teachers in China.
DOI: 10.5281/zenodo.8191881
title: Dataset for the paper "Digital Competence of K-12 Pre-Service and In-Service Teachers in China: A Systematic Literature Review"

description: Resources for the Systematic Literature Review (SLR) about Digital Competence of K-12 Pre-Service and In-Service Teachers in China.