cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6426161
title: Pelvic Bone Tumour Dataset CT

description: Datasets of CT images of pelvic bone tumors images and their labels to be used for 3d Segmentation in CNN deep learning artificial intelligence , MONAI (Medical Open Network in Artificial Intelligence)
DOI: 10.6084/m9.figshare.3761562.v2182
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/dsv/3429082
title: Sentiment Analysis on Twitter Data During Covid
DOI: 10.5281/zenodo.6426148
title: Metagenome-assembled Genomes of Scandinavium goeteborgense MCPNR19-05 and Erwinia aphidicola MCPNR19-06

description: Here we provide two fasta files (MCPNR19-05.fa and MCPNR19-06.fa) which represent low-quality metagenome assembled genomes (MAGs) obtained from genomic DNA from Massospora cicadina isolate MCPNR19 azygospores collected from multiple seventeen-year cicada (Magicicada septendecim) June 2019 at Powdermill Nature Reserve, Rector, Pennsylvania. MCPNR19-05.fa = Scandinavium goeteborgense MCPNR19-05, a 1.82 Mb 45.61% complete MAG<br> MCPNR19-06.fa = Erwinia aphidicola MCPNR19-06, a 1.79 Mb 29.31% complete MAG<br> <br> <strong>Raw data availability</strong><br> Sequence reads are deposited under SRA project accessions SRR17553520-SRR17553526 and BioProject PRJNA795459. These MAGs are metagenomic assemblies obtained from the host Massospora cicadina (BioSample: SAMN24722893).
DOI: 10.6084/m9.figshare.19555033
title: Data dictionary of public.csv

description: Data dictionary
DOI: 10.6084/m9.figshare.19555033.v1
title: Data dictionary of public.csv

description: Data dictionary
DOI: 10.5281/zenodo.6426160
title: billy-barr-snow-data

description: billy barr met data since 2009 from Gothic, CO
DOI: 10.5281/zenodo.6426159
title: billy-barr-snow-data

description: billy barr met data since 2009 from Gothic, CO
DOI: 10.3886/e167161
title: Data For Qingyu Bu's Dissertation

description: Data for Qingyu Bu's dissertation
DOI: 10.3886/e167161v1
title: Data For Qingyu Bu's Dissertation

description: Data for Qingyu Bu's dissertation
DOI: 10.6084/m9.figshare.19555060
title: Additional file 1 of Infection age as a predictor of epidemiological metrics for malaria

description: Additional file 1: R Code.R code to read and analyse the malariatherapy data and produce the data-based figures in the manuscript.
DOI: 10.6084/m9.figshare.19555060.v1
title: Additional file 1 of Infection age as a predictor of epidemiological metrics for malaria

description: Additional file 1: R Code.R code to read and analyse the malariatherapy data and produce the data-based figures in the manuscript.
DOI: 10.5517/ccdc.csd.cc29cghn
title: CCDC 2126181: Experimental Crystal Structure Determination

description: Related Article: Rui Sun, Mengran Liu, Shao-Liang Zheng, Dilek K. Dogutan, Cyrille Costentin, Daniel G. Nocera|2022|CSD Communication|||
DOI: 10.7303/syn27056697
title: GENIE BPC NSCLC 2.0-public
DOI: 10.5281/zenodo.6426303
title: R Skills Building for Cancer Scientists

description: These datasets are being used in our course but are originally from the course run by the Bioinformatics Core<br> at the Cancer Research UK Cambridge Institute (Contributions : Matthew Eldridge, Chandra Chilamakuri, Mark Fernandes, Ashley Sawle, Kamal Kishore, Sergio Martinez Cuesta, Rory Stark).
DOI: 10.5281/zenodo.6426312
title: Isotopic Fuel Compositions in the Sangamon200 Model

description: The seven csv files each correspond to a different level of fuel burnup in the Sangamon200 (a 200 MWth pebble-bed HTGR) fuel pebbles. fresh_comp.csv provides the composition for UCO in fresh pebbles. 1pass_comp.csv provides the fuel composition in pebbles that have gone through one six month pass, 2pass_comp.csv have been through two six month passes, and so forth.
DOI: 10.5281/zenodo.6426311
title: Isotopic Fuel Compositions in the Sangamon200 Model

description: The seven csv files each correspond to a different level of fuel burnup in the Sangamon200 (a 200 MWth pebble-bed HTGR) fuel pebbles. fresh_comp.csv provides the composition for UCO in fresh pebbles. 1pass_comp.csv provides the fuel composition in pebbles that have gone through one six month pass, 2pass_comp.csv have been through two six month passes, and so forth.
DOI: 10.6084/m9.figshare.19209057
title: Global estimates of forest soil methane flux identify a temperate and tropical forests methane sink

description: Dataset S1 used to construct a mixed effect model. And predicted global map (1 km resolution) of soil methane flux (kg CH<sub>4</sub> ha<sup>–1</sup> yr<sup>–1</sup>) during 1991 to 2020 in forest ecosystems.
DOI: 10.6084/m9.figshare.19209057.v5
title: Global estimates of forest soil methane flux identify a temperate and tropical forests methane sink

description: Dataset S1 used to construct a mixed effect model. And predicted global map (1 km resolution) of soil methane flux (kg CH<sub>4</sub> ha<sup>–1</sup> yr<sup>–1</sup>) during 1991 to 2020 in forest ecosystems.
DOI: 10.6084/m9.figshare.19209057.v4
title: Global soil methane budget and drivers in forest ecosystems

description: Dataset S1 used to construct a mixed effect model. And predicted global map (1 km resolution) of soil methane flux (kg CH<sub>4</sub> ha<sup>–1</sup> yr<sup>–1</sup>) during 1991 to 2020 in forest ecosystems.
DOI: 10.5517/ccdc.csd.cc1nz4nf
title: CCDC 1548315: Experimental Crystal Structure Determination

description: Related Article: Khawla Bechlem, Malika Berredjem, Seif Eddine Djouad, Tan Ouk Sothea, Sofiane Bouacida, Christelle Marminon, Taibi Ben Hadda, Jaques Lebreton, Abdeslem Bouzina|2022|J.Mol.Struct.|1262|132935|doi:10.1016/j.molstruc.2022.132935
DOI: 10.25345/c53j3949z
title: MassIVE MSV000089227 - CoverCrop_RootExudates_DDA_NOLOCKMASS_1
title: 19 cover crops species root exudates were characterized on an LC-MS/MS system (LC: Waters Acquity UPLC system MS: Waters Xevo G2-XS Q-TOF-MS) for chemical characterization of the root exudate profiles across different agricultural crops grown hydroponically.
DOI: 10.6073/pasta/8069fd500e88f74fb13c300c0a1d86e9
title: Long-term monitoring of wet, dry, and bulk atmospheric deposition in central Arizona-Phoenix, ongoing since 1999

description: The aims of this study are to examine (1) the magnitude and spatial variability in the concentration and flux of wet deposited major ions (NO3-N, NH4-N, DOC, PO4-P, Cl, SO4, H+, Ca, Mg, Na, K) across the greater Phoenix metropolitan area, including the developed urban core and outlying desert, and (2) patterns of coarse dry particulate deposition across stated area and provide some minimum estimates on levels of dry deposition of these ions. This study was designed particularly to answer the question: 'To what extent are concentrations and fluxes of these ions enhanced at sites within the urban core relative to undeveloped desert sites upwind and downwind of the city?'. At the outset, the project featured eight wet-dry collectors positioned spatially so as to form a transect running approximately west-to-east across the central Arizona region from outlying desert to the west, upwind of the prevailing synoptic wind direction, through agriculture to urban core sites, and, finally, to two downwind sites in the desert to the east and northeast. As much as possible, these collectors were co-located with Maricopa County or Arizona Department of Environmental Quality monitoring stations. Monitoring at most sampling locations ran from 1999 through the mid-2000s when sampling was discontinued at several sites. Sampling continued at the Lost Dutchman State Park, also a Desert Fertilization experiment site with a focus on atmospheric deposition, through 2016. Sampling continues at a site on the Arizona State University Tempe campus that was added to the program in 2009.
DOI: 10.25919/knv3-vj03
title: Parkes observations for project P1121 semester 2021APRS_05

description: This project aims to obtain simultaneous multi-frequency full-polarisation observations of mode-switching pulsars to explore a novel method to estimate the charged current density based on the work by Hibschman & Arons (2001) and to investigate the remarkable frequency-dependent behaviour of the mode-separated profile shape of PSR B1822-09 and expand to the other moding pulsars. This dataset will allow us to investigate and compare between the modes subpulse modulation, profile’s shape and intensity, and polarisation position angle in both aspects of time and frequency evolution. Using Parkes and UWL, this dataset will provide more insights in understanding mode-switching pulsars and the pulsar’s magnetosphere in general.
DOI: 10.18739/a2222r72f
title: Sediment core data related to the extinction of Mammuthus primigenius, St. Paul Island, Alaska, 2014

description: This project will provide new data on the paleoclimates, paleoenviroments and the biodiversity impacts of sea level rise on the southern edge of the Bering Land Bridge (BLB), and is intended to facilitate a better understanding of why woolly mammoths survived late into the mid-Holocene only in the environments of Arctic islands of this area. Furthermore, this research will attempt to establish the actual time of extinction of the Holocene mammoth population on St. Paul Island, Pribilof Islands, Alaska, and apply this information to test various proposed causal hypotheses for the extinction. Relict woolly mammoth (Mammuthus primigenius) populations survived on several small Beringian islands for thousands of years after mainland populations went extinct. Here, we present new multi-proxy paleoenvironmental records to investigate the timing, causes, and consequences of mammoth disappearance from St. Paul Island, Alaska, USA. These proxies include pollen, spores, cladocerans, diatoms, oxygen isotopes, C:N, MS, 14C data, tephra, LOI and aDNA.
DOI: 10.18739/a2cn6z05d
title: Arctic Slope Shoreline Change Risk Spatial Data Model, 2015-16

description: The Arctic Slope Shoreline Change Risk Spatial Data Model consists of shoreline change susceptibility information from the Arctic Slope Shoreline Change Susceptibility Spatial Data Model (Brady 2017) summarized at asset locations defined by a local community-verified Arctic Slope at-risk asset spatial data model. Specifically, this data product is shoreline change susceptibility information added to attribute tables of a variety of asset spatial data for at-risk coastal Arctic Slope assets. The purpose of the data is to identify shoreline change risk to assets of interest to stakeholders selected during an Instructional Systems Design (ISD) process to develop a shoreline change risk WebGIS in collaboration with the North Slope Borough. Data are forthcoming and inquiries concerning the data should be directed to Michael Brady.
DOI: 10.18739/a27w6761n
title: Arctic Slope Shoreline Change Susceptibility Spatial Data Model, 2015-16

description: Shoreline change susceptibility information added to 50-meter transects created by the U.S. Geological Survey (USGS) as part of their National Assessment of Shoreline Change Project, Alaska (Gibbs and Richmond 2015). Shoreline change susceptibility information added to the USGS transects are based on the USGS Coastal Vulnerability Index (CVI) adapted to the Arctic context by including wind-fetch distances based on historical sea ice extents. Transects also include landform information from ShoreZone (ShoreZone.org), and historical shoreline change calculated by the USGS (Gibbs and Richmond 2015). The purpose of the data is to identify shoreline change susceptibility at areas of interest to stakeholders selected during an Instructional Systems Design (ISD) process to develop a shoreline change risk WebGIS in collaboration with the North Slope Borough. Gibbs, A.E., and Richmond, B.M., 2015, National assessment of shoreline change: Historical shoreline change along the north coast of Alaska, U.S.-Canadian border to Icy Cape: U.S. Geological Survey Open-File Report 2015-1048, 96 p., https://dx.doi.org/10.3133/ofr20151048. Data are forthcoming and inquiries concerning the data should be directed to Michael Brady.
DOI: 10.17632/vscpbxffx4.1
title: Data for: "Does agricultural efficiency contribute to reduce Amazon deforestation?"

description: This dataset contain several variables gathered in IBGE Agricultural Census (2006 and 2017), Brazilian Central Bank (Rural Credit) and INPE-Prodes (Amazon deforestation). The data was used in the manuscript "Does agricultural efficiency contribute to reduce Amazon deforestation?". 
The .xlsx file contain the raw data. The first sheet contain the variables description.
The .R file (R script) contain a script for the Stochastic Frontier Model. Please adjust to your folder the loading of xlsx file.
DOI: 10.17632/vscpbxffx4.3
title: Data for: "Does agricultural efficiency contribute to reduce Amazon deforestation?"

description: This dataset contain several variables gathered in IBGE Agricultural Census (2006 and 2017), Brazilian Central Bank (Rural Credit) and INPE-Prodes (Amazon deforestation). The data was used in the manuscript "Does agricultural efficiency contribute to reduce Amazon deforestation?". 
The .xlsx file contain the raw data. The first sheet contain the variables description.
The .R file (R script) contain a script for the Stochastic Frontier Model. Please adjust to your folder the loading of xlsx file.
DOI: 10.17632/vscpbxffx4.4
title: Data for: "Does agricultural efficiency contribute to reduce Amazon deforestation?"

description: This dataset contain several variables gathered in IBGE Agricultural Census (2006 and 2017), Brazilian Central Bank (Rural Credit) and INPE-Prodes (Amazon deforestation). The data was used in the manuscript "Does agricultural efficiency contribute to reduce Amazon deforestation?". 
The .xlsx file contain the raw data. The first sheet contain the variables description.
The .R file (R script) contain a script for the Stochastic Frontier Model. Please adjust to your folder the loading of xlsx file.
DOI: 10.17632/9gsbbpk9sk.1
title: Raw data for biochemical analysis of p110-p101 for Rathinaswamy et al 2021

description: Raw lipid kinase assays, gel filtration, HDX-MS, and TIRF microscopy data. Full details in the methods section of associated manuscript
DOI: 10.5281/zenodo.6071544
title: ROV cm-scale seafloor surveys at 1850 m depth in Monterey Canyon

description: This dataset contains 5-cm lateral resolution multibeam sonar bathymetry and 1-cm lateral resolution lidar bathymetry from ~1850 m water depth in Monterey Canyon, offshore Moss Landing, California. The data were acquired by a remotely operated vehicle (ROV) aboard the R/V Western Flyer operated by the Monterey Bay Aquarium Research Institute (MBARI). The multibeam sonar and lidar data were collected using a Reson SeaBat 7125 400-kHz multibeam sonar and a 3D at Depth SL1 subsea lidar, respectively. These surveys were all conducted between November 2015 and March 2017 as one component of the Coordinated Canyon Experiment (CCE) led by MBARI geologist Charlie Paull, in collaboration with researchers from the United States Geological Survey, the Ocean University of China, the National Oceanography Centre in Southampton, England, and the University of Hull, England. <br> For a detailed description of the methodology used to collect, process, and grid these data, please refer to the associated journal article: <em><strong>&lt;This info will be updated once the paper is published&gt;</strong></em><br> The primary results from the CCE were described in: Paull, C.K., Talling, P.J., Maier, K.L., Parsons, D., Xu, J., Caress, D.W., Gwiazda, R., Lundsten, E.M., Anderson, K., Barry, J.P., Chaffey, M., O'Reilly, T., Rosenberger, K.J., Gales, J.A., Kieft, B., McGann, M., Simmons, S.M., McCann, M., Sumner, E.J., Clare, M.A., Cartigny, J., (2018). Powerful turbidity currents driven by dense basal layers. Nature Communications, 9: 1-9. https://doi.org/10.1038/s41467-018-06254-6 A general description of the CCE can be found in a 2017 MBARI annual report article: https://annualreport.mbari.org/2017/story/coordinated-canyon-experiment<br> <br> This dataset contains the following gridded bathymetry data in both GeoTIFF and ESRI ASCII grid format (.asc) in WG84 Geographic (EPSG: 4326):<br> <br> 5-cm lateral resolution multibeam sonar bathymetry grids: CCE_LASS_5cm_multibeam_MontereyCanyon_November2015 Multibeam bathymetry data collected between November 18 - 20, 2015 CCE_LASS_5cm_multibeam_MontereyCanyon_May2016 Multibeam bathymetry data collected between May 10 - 12, 2016 CCE_LASS_5cm_multibeam_MontereyCanyon_October2016 Multibeam bathymetry data collected between October 26 - 28, 2016 CCE_LASS_5cm_multibeam_MontereyCanyon_March2017 Multibeam bathymetry data collected between March 7 - 12th, 2016 1-cm lateral resolution lidar bathymetry grids: CCE_LASS_1cm_lidar_MontereyCanyon_May2016 a portion of the survey area mapped by lidar between May 10 - 12, 2016 <br>
DOI: 10.5281/zenodo.6426349
title: Pelvic Bone Tumour Dataset CT

description: Datasets of CT images of pelvic bone tumors images and their labels to be used for 3d Segmentation in CNN deep learning artificial intelligence , MONAI (Medical Open Network in Artificial Intelligence)
DOI: 10.25493/adcg-d0k
title: Cellular level 3D reconstructed volumes at 1µm resolution within the BigBrain occipital cortex

description: This dataset contains two 6x6x6 mm<sup>3</sup> volumes sampled from the occipital cortex (areas V1 and V2) of a human postmortem brain. The volumes were acquired by rescanning the original histological sections of the BigBrain model at an isotropic resolution of 1µm. The sections were linearly 3D reconstructed by aligning matched pairs of bisected cells, which were identified from congruent point constellations. Subsequently, both reconstructed stacks were anchored into the 20µm 3D BigBrain space using a 3D affine transformation. Each reconstructed volume is provided as a multipage (Big)Tiff file at multiple resolutions (1-32µm) which can be interpreted by most biomedical image viewers. Additionally, the volumes can be explored interactively online, superimposed on the BigBrain model, using the links provided. Direct integration with the EBRAINS atlas viewer is in progress.
DOI: 10.5281/zenodo.6426331
title: Holocene temperature reconstruction using paleoclimate data assimilation

description: A reconstruction of Holocene temperature made using paleoclimate data assimilation. Spatial and mean quantities are presented, as well as information about the experimental design and proxies. The code used to make this reconstruction is available at https://github.com/Holocene-Reconstruction/Holocene-code.
DOI: 10.25919/z8qa-t467
title: Parkes observations for project P1124 semester 2021OCTS_09

description: The progenitors of Fast Radio Bursts (FRBs) have been highly debated in past decade. The discovery of a bright radio burst from a Galactic magnetar, SGR 1935+2154, implies that some of faint FRBs can originate from normal magnetars. A recent short gamma-ray bursts (GRB 200415A) from a nearby galaxy turned out to be caused by magnetar giant flare. If a fraction of SGRBs and repeating FRBs share similar magnetars as progenitors, we could expect to detect fast radio transients from some suspicious magnetar-driven SGRBs. Here we propose to observe two sources with possible magnetar progenitors, in particular, a total observing time of 32 hours is requested. If detections made, we would confirm the association of progenitors of both FRBs and SGRBs and directly uncover the origin of extragalactic FRBs for at least one population.
DOI: 10.6084/m9.figshare.14730726
title: Antioxidant activities of 1,1-diphenyl-2-picrylhydrazyl by Phaffia rhodozyma and Rhodopseudomonas palustris

description: Objective To study the scavenging activities of <em>Phaffia rhodozyma</em> and <em>Rhodopseudomonas</em> <em>palustris</em> on DPPH free radicals. Methods The DPPH free radical method was used to study the difference in the scavenging ability of the whole cells and ethanol extracts of two microorganisms. Results <em>R. palustris</em> showed much higher antioxidant activity than <em>P. rhodozyma</em> in scavenging DPPH. Conclusion The application of <em>R. palustris</em> in antioxidants is worth exploring.
DOI: 10.6084/m9.figshare.14730726.v2
title: Antioxidant activities of 1,1-diphenyl-2-picrylhydrazyl by Phaffia rhodozyma and Rhodopseudomonas palustris

description: Objective To study the scavenging activities of <em>Phaffia rhodozyma</em> and <em>Rhodopseudomonas</em> <em>palustris</em> on DPPH free radicals. Methods The DPPH free radical method was used to study the difference in the scavenging ability of the whole cells and ethanol extracts of two microorganisms. Results <em>R. palustris</em> showed much higher antioxidant activity than <em>P. rhodozyma</em> in scavenging DPPH. Conclusion The application of <em>R. palustris</em> in antioxidants is worth exploring.
DOI: 10.5281/zenodo.6426362
title: Limited stability of multi-component brines on the surface of Mars

description: This data package contains all the data used for the following publication: Limited stability of multi-component brines on the surface of Mars Vincent F. Chevrier<br> Alec Fitting<br> Edgard G. Rivera-Valentín The data are evaporation simulations of multicomponent mixtures of composition as measured by the Phoenix Wet Chemistry Laboratory instrument at various temperatures and for three different models (described in the manuscript). The organization and detailed description of the data is presented in the text file AAS35439R1_ReadMe.TXT
DOI: 10.5281/zenodo.6426361
title: Limited stability of multi-component brines on the surface of Mars

description: This data package contains all the data used for the following publication: Limited stability of multi-component brines on the surface of Mars Vincent F. Chevrier<br> Alec Fitting<br> Edgard G. Rivera-Valentín The data are evaporation simulations of multicomponent mixtures of composition as measured by the Phoenix Wet Chemistry Laboratory instrument at various temperatures and for three different models (described in the manuscript). The organization and detailed description of the data is presented in the text file AAS35439R1_ReadMe.TXT
DOI: 10.5281/zenodo.6426428
title: Data for modeling and simulation of the Beijing-Shijiazhuang section of the South-to-North Water Diversion Project

description: Data we used to calculate and analysis the main contribution in our manuscript of Digital Twin for large-scale water diversion projects.
DOI: 10.5281/zenodo.6426427
title: Data for modeling and simulation of the Beijing-Shijiazhuang section of the South-to-North Water Diversion Project

description: Data we used to calculate and analysis the main contribution in our manuscript of Digital Twin for large-scale water diversion projects.
DOI: 10.5517/ccdc.csd.cc24dhqs
title: CCDC 1978225: Experimental Crystal Structure Determination

description: Related Article: Zhongkui Li, Hao Su, Yanhong Zhu, Li Yan, Hui Li|2022|CrystEngComm|24|2402|doi:10.1039/D1CE01711J
DOI: 10.5517/ccdc.csd.cc24dhrt
title: CCDC 1978226: Experimental Crystal Structure Determination

description: Related Article: Zhongkui Li, Hao Su, Yanhong Zhu, Li Yan, Hui Li|2022|CrystEngComm|24|2402|doi:10.1039/D1CE01711J
DOI: 10.5517/ccdc.csd.cc24dhtw
title: CCDC 1978228: Experimental Crystal Structure Determination

description: Related Article: Zhongkui Li, Hao Su, Yanhong Zhu, Li Yan, Hui Li|2022|CrystEngComm|24|2402|doi:10.1039/D1CE01711J
DOI: 10.5517/ccdc.csd.cc279vt7
title: CCDC 2065059: Experimental Crystal Structure Determination

description: Related Article: Guolong Xing, Wenhao Zheng, Lei Gao, Ting Zhang, Xiaowei Wu, Shuai Fu, Xiaoyu Song, Ziqiang Zhao, Silvio Osella, Marta Martínez-Abadíag, Hai I. Wang, Jinming Cai, Aurelio Mateo-Alonsogh, Long Chen|2022|J.Am.Chem.Soc.|144|5042|doi:10.1021/jacs.1c13534