cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p94z7ao8
title: Persistent Organic Pollutants in Sea Otter Blood and in Blue Mussels from the Aleutian Islands and Southeast Alaska

description: Two data sets concerning organic contaminants are included here to aid in assessment of the sea otter population collapse in southwest Alaska. One data set consists of levels of organic pollutant compounds found in wild sea otter blood collected from captured animals in 1997 (Jessup et al., 2010). These sea otters were captured from islands in the western Aleutians and from outside the area of population collapse, in southeast Alaska near Cross Sound. Another data set consists of levels of organic pollutant compounds found in blue mussels collected from multiple sites along the Aleutian archipelago and from the Cross Sound area in southeast Alaska in 1994-1996 (Reese et al., 2012). These data support the following publication: M. Tim Tinker, James L. Bodkin, Lizabeth Bowen, Brenda Ballachey, Gena Bentall, Alexander Burdin, Heather Coletti, George Esslinger, Brian B. Hatfield, Michael C. Kenner, Kimberly Kloecker, Brenda Konar, A. Keith Miles, Daniel H. Monson, Michael J. Murray, Ben Weitzman and James A. Estes, 2021, Sea otter population collapse in southwest Alaska: assessing ecological covariates, consequences, and causal factors: Ecological Monographs References: Jessup, D. A., C. K. Johnson, J. Estes, D. Carlson-Bremer, W. M. Jarman, S. Reese, E. Dodd, M. T. Tinker, and M. H. Ziccardi. 2010. Persistent organic pollutants in the blood of free-ranging sea otters (Enhydra Lutris Ssp.) in Alaska and California. Journal of Wildlife Diseases 46:1214-1233. Reese, S. L., J. A. Estes, and W. M. Jarman. 2012. Organochlorine contaminants in coastal marine ecosystems of southern Alaska: inferences from spatial patterns in blue mussels (Mytilus trossulus). Chemosphere 88:873-880.
DOI: 10.5517/ccdc.csd.cc28k488
title: CCDC 2101839: Experimental Crystal Structure Determination

description: Related Article: Eva M. Zolnhofer, Adedamola A. Opalade, Timothy A. Jackson, Frank W. Heinemann, Karsten Meyer, J. Krzystek, Andrew Ozarowski, Joshua Telser|2021|Inorg.Chem.|60|17865|doi:10.1021/acs.inorgchem.1c02471
DOI: 10.5517/ccdc.csd.cc28lyxr
title: CCDC 2103595: Experimental Crystal Structure Determination

description: Related Article: AMITAVA RAKSHIT|2021|CSD Communication|||
description: Related Article: Amitava Rakshit, Hirendra Nath Dhara, Tipu Alam, Anjali Dahiya, Bhisma K. Patel|2021|J.Org.Chem.|86|17504|doi:10.1021/acs.joc.1c02198
DOI: 10.6084/m9.figshare.17132231
title: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles

description: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles
DOI: 10.6084/m9.figshare.17132231.v2
title: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles

description: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles
DOI: 10.6084/m9.figshare.17132231.v1
title: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles

description: Dataset for 'Isotopic elucidation of microbial nitrogen transformations in forest soils' in Global Biogeochemical Cycles
DOI: 10.6084/m9.figshare.17211836
title: Transcriptome raw data.zip

description: 10 GMSM-K cell lines data of Transcriptome
DOI: 10.6084/m9.figshare.17211836.v1
title: Transcriptome raw data.zip

description: 10 GMSM-K cell lines data of Transcriptome
DOI: 10.6084/m9.figshare.17251562
title: Simulation data for manuscript "A Simple Condensation Model for the H2SO4-H2O Gas-cloud System on Venus"

description: This is the data of our simulations and the observations and estimations.
DOI: 10.6084/m9.figshare.17251562.v1
title: Simulation data for manuscript "A Simple Condensation Model for the H2SO4-H2O Gas-cloud System on Venus"

description: This is the data of our simulations and the observations and estimations.
DOI: 10.3886/e157581
title: Do Windy Areas have more Wind Turbines

description: The decarbonization of the electricity sector is leading to a substantial increase in the demand for wind energy. Will tribal nations, which account for 7.8 % of utility-scale wind capacity, benefit from this policy shift? To examine why tribal nations vary in translating wind energy potential into wind installed capacity, we have constructed an original dataset of the potential as well as the location of wind turbines across tribal nations. Our statistical analysis of 286 tribal nations suggests that wind energy potential is not associated with wind installed capacity. Instead, casino square footage, a proxy for tribal nation’s administrative capacity and business acumen, is associated with wind installed capacity. Political orientation plays a role as well: tribal nations are more likely to have wind installed capacity when they value tribal sovereignty. While tribes suffering from natural disasters do not install more wind turbines, those receiving federal grants for wind energy projects, and located in states that already have a substantial number of wind turbines, are more apt to have wind turbines. Surprisingly, tribes located in states with renewable portfolio standards do not show an association with installed wind turbines capacity. <br> <br><br><br><br><br>
DOI: 10.3886/e157581v1
title: Do Windy Areas have more Wind Turbines

description: The decarbonization of the electricity sector is leading to a substantial increase in the demand for wind energy. Will tribal nations, which account for 7.8 % of utility-scale wind capacity, benefit from this policy shift? To examine why tribal nations vary in translating wind energy potential into wind installed capacity, we have constructed an original dataset of the potential as well as the location of wind turbines across tribal nations. Our statistical analysis of 286 tribal nations suggests that wind energy potential is not associated with wind installed capacity. Instead, casino square footage, a proxy for tribal nation’s administrative capacity and business acumen, is associated with wind installed capacity. Political orientation plays a role as well: tribal nations are more likely to have wind installed capacity when they value tribal sovereignty. While tribes suffering from natural disasters do not install more wind turbines, those receiving federal grants for wind energy projects, and located in states that already have a substantial number of wind turbines, are more apt to have wind turbines. Surprisingly, tribes located in states with renewable portfolio standards do not show an association with installed wind turbines capacity. <br> <br><br><br><br><br>
DOI: 10.6084/m9.figshare.16567665.v1
title: In-situ benthic cover data in marine ecosystems of the Mexican Caribbean

description: This dataset (in Excel format) represents in-situ information on the percentage of benthic cover collected at 714 stations. Seven field campaigns were conducted (2010-2016), in shallow waters (up to 25 m depth) along the coast of the Yucatan Peninsula in Mexico, from Cabo Catoche to Xcalak, as part of the Mesoamerican Reef System. The biotopes of reef lagoon, back reef, reef crest, rocky terrace, and the spur and grooves of the fore reef, were studied. The percentages of benthic cover were estimated through visual surveys and the use of underwater photographs for later analysis in the laboratory, establishing 12 classification categories. The data obtained have been used as a reference for the calibration of benthic cover classifications derived from the processing of 23 WorldView-2 satellite images (2009-2015).
DOI: 10.6084/m9.figshare.17250029.v1
title: Social Robotics

description: Data from Exp 1 to Exp 10
DOI: 10.6084/m9.figshare.17250029
title: Social Robotics

description: Data from Exp 1 to Exp 10
DOI: 10.5517/ccdc.csd.cc28mmr9
title: CCDC 2104241: Experimental Crystal Structure Determination

description: Related Article: Byeongseok Kweon, Changha Kim, Seonyul Kim, Sungwoo Hong|2021|Angew.Chem.,Int.Ed.|60|26813|doi:10.1002/anie.202112364
DOI: 10.34944/dspace/7149
title: Chimeric Flaps for the Reconstruction of Composite Head and Neck Defects Systematic Review Search Strategy

description: Description of methods used for collection/generation of data: To identify studies to include or consider for this systematic review, the review team worked with a medical librarian to develop detailed search strategies for each database. The search was developed for PubMed (NLM) and was translated to Embase (Elsevier), CINAHL (EbscoHost) and Cochrane Central (Wiley) using a combination of keywords and subject headings. A grey literature search included ClinicalTrials.gov and the TRIP database. The search included no major limits or date restrictions. The final search was completed on September 15, 2021. PubMed (NLM) from inception to 9/15/2021 (349 Results) Embase (Elsevier) from inception to 9/15/2021 (284 Results) CINAHL (EbscoHost) from inception to 9/15/2021 (33 Results) Cochrane Central (Wiley) from inception to 9/15/2021 (71 Results) The search resulted in 923 studies (186 from grey literature sources). 159 duplicate studies were found and omitted using Endnote X.7 for the deduplication of records and 764 references were eligible to screen. Studies were screened by title and abstract by two blinded and independent reviewers. If a tiebreaker was needed, a third reviewer was called in. This process was repeated for full text article screening and article selection.
DOI: 10.5517/ccdc.csd.cc27wygk
title: CCDC 2082439: Experimental Crystal Structure Determination

description: Related Article: Dmitry N. Platonov, Dmitry N. Kholodkov, Irina K. Goncharova, Maria A. Belaya, Yaroslav V. Tkachev, Pavel V. Dorovatovskii, Alexander D. Volodin, Alexander A. Korlyukov, Yury V. Tomilov, Ashot V. Arzumanyan, Roman A. Novikov|2021|Organometallics|40|3876|doi:10.1021/acs.organomet.1c00291
DOI: 10.6084/m9.figshare.17121335.v1
title: Data that supports the Summary Results, Tables and Figures.

description: <b>Model output data including TC intensity, size, sea surface temperature, mixed layer depth, latent heat fluxes, sensible heat fluxes and so on. Subsurface buoy data including water temperature and depth. Initial conditons for the idea</b><b>l</b><b>ized case.</b>
DOI: 10.25494/p61g60
title: MPA OOS Project, C-HARM and Ecocast derived datasets, California, 2018-2020, 3 km

description: Data in this collection includes derived products from the California Harmful Algae Risk Mapping (C-HARM) model (Anderson et al., 2016) and EcoCast model. We used the nowcast C-HARM data of the probability of (1) Pseudo-nitzschia concentrations in excess of 10,000 cells/L, (2) particulate domoic acid in excess of 500 nanograms/L, and (3) cellular domoic acid in excess of 10 picograms/cell in California and Southern Oregon coastal water. The EcoCast Map product is a novel fishery sustainability tool that helps fishers and managers better evaluate how to allocate fishing effort to optimize the catch of target species (e.g. swordfish) while minimizing the accidental bycatch of blue sharks and protected species (leatherback sea turtles, California sea lions).The datasets span from 2014 to 2021. The original EcoCast product is a 25 km product but was regridded to match the C-HARM product which is a 3 km satellite imagery product. For the purposes of this project, the data has been bounded at longitude -125 to -116.5 and latitude 31.5 to 42.5.This submission includes 3 data tables.:(1) LTM_OOS_MPA_CHARM_allparams_summary.csv which includes spatial summaries of C-HARM data for MPAs by bioregion.(2) LTM_OOS_MPA_CHARM_heatmap_data.csv which includes monthly summaries of C-HARM data for MPAs by bioregion.(3) LTM_OOS_MPA_monthly_risk_summary.csv which includes the mean proportion of MPAs by bioregion which meet both the criteria of C-HARM probability of cellular domoic acid concentrations in excess of 10 picograms/cell &gt; 0.6 and EcoCAST Relative Bycatch:Target Catch Probability Product &lt; 0 threshold plots.The raw C-HARM dataset is found here: https://coastwatch.pfeg.noaa.gov/erddap/info/index.htmlThe raw EcoCast dataset is found here: https://coastwatch.pfeg.noaa.gov/erddap/griddap/ecocast.htmlThe boundaries for the MPAs referenced in this dataset and information on related long-term California MPA monitoring efforts can be found here: https://opc.dataone.org/view/doi:10.25494/P6V884References:Anderson, Clarissa & Kudela, Raphael & Kahru, Mati & Chao, Yi & Rosenfeld, Leslie & Bahr, Frederick & Anderson, David & Norris, Tenaya. (2016). Initial skill assessment of the California Harmful Algae Risk Mapping (C-HARM) system. Harmful Algae. 59. 1-18. 10.1016/j.hal.2016.08.006.
DOI: 10.4121/14309240.v1
title: [0] SPH simulations of a 2D dam-break flow against a vertical wall. General information on the collection

description: This dataset is the entry point to the simulations contained in the collection "High-resolution SPH simulations of the 2D dam-break benchmark solution by Meringolo et al., 2019" with referrer https://doi.org/10.4121/c.5353691<br><br>Perusing this dataset first is strongly recommended. It provides the context information on the collection, how the data have been generated, how they can be reproduced/ accessed/used, how they are named and organized in this collection. It also provides a redistribution of the DualSPHysics software suite used to generate the data.<br>The file <b>Commentary.pdf</b> in this dataset provides information on the generalities of the collection (physics, modelling, solver), on the test case (the dam-break flow impinging on a vertical wall), on the simulation datasets (aim, possible usages, creation and content, access, decompression, etc.), and on the research context. <br><i>Reading that file first is strongly recommended.</i><br>The companion datasets, then, contain the output results for values of the resolution parameter H/dx=800, 1600, 3200, 6400, leading to simulations with 1M, 5M, 20M, 82M fluid particles, as specified in the names of the datasets.<br><br>This one dataset also includes the images of the flow fields for each file in the output datasets above; users can preview their content and evaluate which files to download and inspect avoiding bulk downloads.<br>When using this dataset, please cite the overarching <b>collection</b> instead: Lipari, Giordano; Vuik, Cornelis (2021): High-resolution SPH simulations of a 2D dam-break flow against a vertical wall. 4TU.ResearchData. Collection. https://doi.org/10.4121/c.5353691 <br><br>
DOI: 10.6084/m9.figshare.16907005
title: Global distributions of 205 wide-range families with associated environmental variables

description: This is the global distribution data for 205 wide-range families involved in a macroecological study to investigate the scale dependence of environmental effects on plant distributions.
DOI: 10.3886/e115525v3-104960
title: Public Perceptions of Air Pollution and its Health Impacts in Greater Kuala Lumpur

description: A survey of public perceptions of air pollution and it's related topics in the Greater KL region of Malaysia during a non-haze period. Questions used are both self-created and adapted from Oltra and Sala (2018). The survey instrument is in English and is composed of three main parts: (1) air pollution perception at home and work/school place and Air Pollution Index (API) engagement (2) knowledge of health impacts and risk perception and (3) behavioural responses towards air pollution.
DOI: 10.5281/zenodo.5787517
title: Representing surface heterogeneity in land-atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime - E3SM SCM data and code

description: This dataset contains post-processed E3SM single-column model output and code used to produce the figures in the manuscript that we are targeting Geoscientific Model Development to submit.
DOI: 10.5517/ccdc.csd.cc28pgl1
title: CCDC 2106003: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgm2
title: CCDC 2106004: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgn3
title: CCDC 2106005: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgs7
title: CCDC 2106009: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgv9
title: CCDC 2106011: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgwb
title: CCDC 2106012: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgyd
title: CCDC 2106014: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28ph0h
title: CCDC 2106016: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28ph3l
title: CCDC 2106019: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28ph4m
title: CCDC 2106020: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28ph6p
title: CCDC 2106022: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pgr6
title: CCDC 2106008: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pv3y
title: CCDC 2106360: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pv4z
title: CCDC 2106361: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc28pv50
title: CCDC 2106362: Experimental Crystal Structure Determination

description: Related Article: Essi Taipale, Marcel Siepmann, Khai-Nghi Truong, Kari Rissanen|2021|Chem.-Eur.J.|27|17412|doi:10.1002/chem.202103152
DOI: 10.5517/ccdc.csd.cc27fk8j
title: CCDC 2068607: Experimental Crystal Structure Determination

description: Related Article: Xie Han, DongDong Sun, Shi Tang, Yong Wu, Luyao Wang, Xiongzhi Zhang, Simin Liu|2021|J.Mater.Chem.C|9|17307|doi:10.1039/D1TC04433H
DOI: 10.5439/1828319
title: ARM Data for Examining the Ice-Nucleating Particles from SGP Part II (ExINP-SGP II) Gas Adsorption Analyzer

description: Knowledge of airborne particulate matter (PM), especially the particles that have supermicron diameters, is key for understanding ice-nucleating particles (INPs). Supported by the Atmospheric Radiation Measurement (ARM) user facility, we sampled PM and surface soil materials at the Southern Great Plains observatory (SGP; 36° 36′ 18″ N, 97° 29′ 6″ W) to systematically compare the INP abundance and ice nucleation efficiency of different SGP samples (i.e., airborne versus surface materials). The field campaign, named Examing INP from SGP II (ExINP-SGP II), was conducted from 20 January to 20 April, 2021. Our data analysis products include (1) physical surface sorption characterization data (i.e., BET, pore volume) of two sets of samples -- SGP Soil and USDA, (2) X-ray diffraction spectra for the same two samples, (3) immersion freezing assay-based ice nucleation active mass density data as a function of freezing temperature for both ambient and surface samples, and (4) time-series data of ambient meteorological conditions, concentration particle counter-derived aerosol particle concentration, and aerosol particle sizer measurement during ExINP-SGP II.
DOI: 10.6084/m9.figshare.15093954
title: Supplementary material.pdf

description: This file contains the supplementary figures and tables for the manuscript "Stiffness drives hepatic stellate cell heterogeneity to promote liver fibrosis". <br>
DOI: 10.6084/m9.figshare.17253167
title: Dispositional mindfulness and prosocial behavior: A cross-cultural study in China and Indonesia

description: Mindfulness functioned almost equally well in promoting prosocial emotion and actions in secular individuals who were familiar with Buddhist traditions and Muslims who were less influenced by Buddhism. This suggests that the prosocial outgrowth of mindfulness may be a cultural universal.
DOI: 10.6084/m9.figshare.17253167.v1
title: Dispositional mindfulness and prosocial behavior: A cross-cultural study in China and Indonesia

description: Mindfulness functioned almost equally well in promoting prosocial emotion and actions in secular individuals who were familiar with Buddhist traditions and Muslims who were less influenced by Buddhism. This suggests that the prosocial outgrowth of mindfulness may be a cultural universal.
DOI: 10.5281/zenodo.5787640
title: Data for Mh landscape project

description: Tree ring width, tree ring oxygen and carbon isotopes measurements, climate data for 1900-2015 for seven sugar maple stands (Ontario, CA).
DOI: 10.5281/zenodo.5787639
title: Data for Mh landscape project

description: Tree ring width, tree ring oxygen and carbon isotopes measurements, climate data for 1900-2015 for seven sugar maple stands (Ontario, CA).
DOI: 10.6084/m9.figshare.17253960
title: Additional file 1 of Genomics of maize resistance to kernel contamination with fumonisins using a multiparental advanced generation InterCross maize population (MAGIC)

description: Additional file 1. Average fumonisin content (μg/g) of each MAGIC RIL in trials performed in 2014 and 2016.
DOI: 10.6084/m9.figshare.17253960.v1
title: Additional file 1 of Genomics of maize resistance to kernel contamination with fumonisins using a multiparental advanced generation InterCross maize population (MAGIC)

description: Additional file 1. Average fumonisin content (μg/g) of each MAGIC RIL in trials performed in 2014 and 2016.
DOI: 10.6084/m9.figshare.17254064.v1
title: Additional file 1 of ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index

description: Additional file 1: Supplementary Table 1.
DOI: 10.6084/m9.figshare.17254064
title: Additional file 1 of ViaFuse: Fiji macros to calculate skeletal muscle cell viability and fusion index

description: Additional file 1: Supplementary Table 1.
DOI: 10.6084/m9.figshare.17254044
title: Additional file 1 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 1. Chromosomal localization of the PIP5K genes and gene duplication events.