cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bz8pdbcvf2.1
title: Data for: Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

description: This dataset includes the yearly decomposed concentrations of four spatial components ("long-range", "mid-range", "neighborhood", "near-source") for PM2.5 and NO2 for the contiguous United States, from year-2000 to year-2015. Each file contains one pollutant and one year (indicated by the last two digits of the year). The concentrations are at the census block level. The unit of concentrations is ug/m3 for both pollutants. Variable names: "block_fip" identifies the block; "longitude" and "latitude" indicate the longitude and latitude of block centroid; "COMPONENT_YEAR" indicate the component and year.
DOI: 10.17632/bz8pdbcvf2.2
title: Data for: Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

description: This dataset includes the yearly decomposed concentrations of four spatial components ("long-range", "mid-range", "neighborhood", "near-source") for PM2.5 and NO2 for the contiguous United States, from year-2000 to year-2015. Each file contains one pollutant and one year (indicated by the last two digits of the year). The concentrations are at the census block level. The unit of concentrations is ug/m3 for both pollutants. Variable names: "block_fip" identifies the block; "longitude" and "latitude" indicate the longitude and latitude of block centroid; "COMPONENT_YEAR" indicate the component and year.
DOI: 10.17632/n55fr2vtm4.1
title: HYDRO-MORPHOLOGICAL CHARACTERISTICS OF MURSHIDABAD DISTRICT

description: Murshidabad's natural parameters facilitate groundwater irrigation. Some researchers argue for increased extraction of water from the ground, while others disagree. Chapter 4 assesses the agricultural gains brought about by the Green Revolution, but lags slightly behind the western regions of India. Forty years later, current land use, soil productivity, and the relationship between irrigation systems and available water are the focus of debate.
DOI: 10.17632/bz8pdbcvf2.3
title: Data for: Spatial decomposition analysis of NO2 and PM2.5 air pollution in the United States

description: This dataset includes the yearly decomposed concentrations of four spatial components ("long-range", "mid-range", "neighborhood", "near-source") for PM2.5 and NO2 for the contiguous United States, from year-2000 to year-2015. Each file contains one pollutant and one year (indicated by the last two digits of the year). The concentrations are at the census block level. The unit of concentrations is ug/m3 for both pollutants.

Variable names: 
"block_fip" identifies the block; 
"longitude" and "latitude" indicate the longitude and latitude of block centroid; 
"COMPONENT_YEAR" indicate the component and year.

Please cite this article when using this dataset:
Yuzhou Wang, Matthew J. Bechle, Sun-Young Kim, Peter J. Adams, Spyros N. Pandis, C. Arden Pope III, Allen L. Robinson, Lianne Sheppard, Adam A. Szpiro, and Julian D. Marshall. "Spatial decomposition analysis of NO<sub>2</sub> and PM<sub>2.5</sub> air pollution in the United States."  Atmospheric Environment, 241, 117470. DOI: 10.1016/j.atmosenv.2020.117470. Link: https://www.sciencedirect.com/science/article/abs/pii/S1352231020302077
DOI: 10.17632/79mkfmfrvw.1
title: Quality of Health Insurance Service and Customer Intention to Stay

description: Health Insurance Market is very competitive in recent days after covid’19. In order to retain and attract new policy holders, the insurer is expected to understand the specific requirements of the target market. The data set listed here will be of potential use to health insurance companies in understanding the service quality expectations of customers and design products accordingly. The dataset will answer the following questions:
i)	The geographical segmentation of demographic and socio-economic profile of the policy holders with specific reference to the state of TamilNadu.
ii)	What are the expectations of service quality of health insurance from the policy holders perspective?
iii)	What factors drive the health insurance policyholders to stay connected with the same service provder?
DOI: 10.17632/pj8sz59mrg.1
title: DATASET

description: DATA SOURCE:ONLINE COLLECTION
DOI: 10.17632/s8r4pzkr69.1
title: Supplementary _Table_JDS_2022_Bernard_et_al.pdf

description: Primer and probe sequences and conditions used for real-time RT-PCR for analysis of studying mammary lipogenic gene expression and milk production in dairy goats fed concentrates supplemented with palm oil fatty acids or rapeseed oil
DOI: 10.5281/zenodo.7072744
title: IODP Expedition 351 Formation temperature

description: Formation temperature was measured by the advanced piston corer temperature tool (APCT-3), Sediment Temperature Tool (SET), or sediment temperature pressure tool (SETP) and reduced to in situ temperature and (for SETP) pressure estimates. These data are compiled per instrument run and assigned to a core (the core cut with the APCT-3 cutting shoe or the core following the SET deployment).
DOI: 10.5281/zenodo.7072743
title: IODP Expedition 351 Formation temperature

description: Formation temperature was measured by the advanced piston corer temperature tool (APCT-3), Sediment Temperature Tool (SET), or sediment temperature pressure tool (SETP) and reduced to in situ temperature and (for SETP) pressure estimates. These data are compiled per instrument run and assigned to a core (the core cut with the APCT-3 cutting shoe or the core following the SET deployment).
DOI: 10.5281/zenodo.7072748
title: IODP Expedition 351 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.7072747
title: IODP Expedition 351 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.6084/m9.figshare.3761562.v2339
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: 10.5281/zenodo.7072753
title: IODP Expedition 351 Magnetic susceptibility (point or contact system)

description: Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).
DOI: 10.5281/zenodo.7072752
title: IODP Expedition 351 Magnetic susceptibility (point or contact system)

description: Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).
DOI: 10.5281/zenodo.7072750
title: IODP Expedition 351 Magnetic susceptibility (whole round)

description: Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
DOI: 10.5281/zenodo.7072749
title: IODP Expedition 351 Magnetic susceptibility (whole round)

description: Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
DOI: 10.5281/zenodo.7072771
title: IODP Expedition 351 Gas safety report

description: This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).
DOI: 10.5281/zenodo.7072770
title: IODP Expedition 351 Gas safety report

description: This composite report returns data from two different gas chromatograph configurations (GC3 and NGA). Each row combines data from several measurements made on the same sample at the same time for a particular headspace or vacutainer sample. If data do not exist for a particular expedition, the column does not appear. Gas samples were measured by gas chromatography and either flame ionization detection (GC-FID) or thermal conductivity detection (GC-TCD). Reported analytes may include methane, ethane, ethene, propane, propene, n-butane, i-butane, n-pentane, i-pentane, n-hexane, i-hexane, n-heptane, i-heptane, nitrogen, oxygen, carbon monoxide, carbon dioxide, and hydrogen sulfide. When data are available, methane to (ethane + ethene) ratio (C<sub>1</sub>/C<sub>2</sub>�ratio) is reported. To identify individual samples and tests, see each separate analysis (GC3, NGAFID, and/or NGATCD).
DOI: 10.5281/zenodo.7072765
title: IODP Expedition 351 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.5281/zenodo.7072764
title: IODP Expedition 351 Interstitial water composite report

description: This composite report includes data from numerous interstitial water (IW) analyses (e.g., ICP-LIQUIDS and IONCHROM) in a variable set of columns. Each row combines the data from several tests (groups of measurements made on the same sample at the same time) for a particular IW sample. If data do not exist for a particular expedition, the column does not appear. To identify individual samples and tests, see each separate analysis (ALKALINITY, ICP-LIQUIDS, IONCHROM, SALINITY, SPEC, TITRATOR, and potentially others). Major and minor elements were determined by inductively coupled plasma-atomic emission spectrocsopy (ICP-LIQUIDS). Cations and anions were measured by ion chromatography (IONCHROM). Complex ions were measured by colorimetric measurements using a UV-VIS spectrometer (SPEC). Alkalinity and chloride was measured by titration (ALKALINITY and TITRATOR). Dissolved carbon (DC), dissolved inorganic carbon (DIC), and dissolved organic carbon (DOC) were measured by combustion in a total organic carbon (TOC) analyzer. Salinity was measured by refractometer (SALINITY). pH was measured by ion-selective electrode as part of the alkalinity procedure and is reported in the ALKALINITY analysis.
DOI: 10.17909/ae1g-8286
title: NGC 7027 H2 Data Set

description: F190N, F212N, and F215N filters
DOI: 10.5281/zenodo.7072767
title: IODP Expedition 351 Natural gamma radiation

description: Natural gamma radiation (NGR) data in the ~0.1 to 3.0 MeV range were measured using eight custom-designed sodium iodide (thallium) [NaI(Tl)] detectors arranged along the core measurement axis at 20 cm intervals. The NGR system uses layers of passive shielding (lead) and active shielding (plastic scintillators and coincidence electronics) to reduce the cosmic-ray signal for low-count analysis of sediment core sections and to obtain the maximum signal-to-noise ratio. Data are reported on a total counts per second basis and the raw spectral files are available as compressed files for later analysis.
DOI: 10.5281/zenodo.7072766
title: IODP Expedition 351 Natural gamma radiation

description: Natural gamma radiation (NGR) data in the ~0.1 to 3.0 MeV range were measured using eight custom-designed sodium iodide (thallium) [NaI(Tl)] detectors arranged along the core measurement axis at 20 cm intervals. The NGR system uses layers of passive shielding (lead) and active shielding (plastic scintillators and coincidence electronics) to reduce the cosmic-ray signal for low-count analysis of sediment core sections and to obtain the maximum signal-to-noise ratio. Data are reported on a total counts per second basis and the raw spectral files are available as compressed files for later analysis.
DOI: 10.24431/rw1k593
title: Zooplankton abundance observations collected from the Calvet Net, as analyzed by Zooscan, from research cruises for the Northern Gulf of Alaska LTER site, 2018-2019

description: This dataset presents the distribution and abundance of zooplankton collected from the Calvet, net during the NGA-LTER research cruises conducted in the Gulf of Alaska in 2018-2019. Abundance was obtained to the lowest possible taxonomic heirarchy using ZOOSCAN automated software. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.24431/rw1k587
title: Zooplankton abundance and biomass observations obtained from the QuadNet, as analyzed by traditional microscopy, during NGA LTER seasonal cruises in the Northern Gulf of Alaska, 2018-2019

description: This dataset presents the distribution, abundance and biomass of zooplankton obtained from a QuadNet, using traditional microscopy, during the seasonal NGA-LTER research cruises conducted in the Gulf of Alaska in 2018 and 2019. Data are presented as csvs files, with one file for each research cruise. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.24431/rw1k591
title: Zooplankton abundance and biomass observations determined traditional microscopy, from Multinet samples collected during research cruises for the Northern Gulf of Alaska LTER site, 2018-2019

description: This dataset presents the distribution, abundance and biomass of zooplankton as determined from traditional microscopy on samples obtained from a Multi net used during the NGA-LTER research cruises conducted in the Gulf of Alaska in 2018 and 2019. Data are presented as csvs files, with one file for each research cruise. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.24431/rw1k58z
title: Gelatinous zooplankton abundance and biomass observations from methot nets on research cruises for the Northern Gulf of Alaska LTER site, 2018-2019

description: This dataset presents the distribution, abundance and biomass (wet weight) of the large gelatinous zooplankton (Cnidarians and Ctenophores) obtained from methot net trawls during the NGA-LTER research cruise conducted in the Gulf of Alaska aboard the R/V Wolstad, R/V Tiglax, and R/V Sikuliaq during the Spring, Summer, and Fall in 2018 and 2019. Trawls were conducted at night using a 5 m2 Methot net (10 m long, with 3 mm mesh body and codend). These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.7910/dvn/phximh
title: Replication Code and Data for: What Communication Supports Multifunctional Public Goods in Organizations? Using Agent-Based Modeling to Explore Differential Uses of Enterprise Social Media

description: This paper includes agent-based models that simulate agents choosing whether and how to interact with an enterprise social media system. This dataset includes both the code used to run the simulations as well as the output of a set of simulations run which are reported in the paper.
DOI: 10.24431/rw1k45h
title: Particle abundance and volume size distributions from an Underwater Vision Profiler 5 aboard seasonal cruises for the Northern Gulf of Alaska LTER site 2018

description: This dataset contains particle abundance and volume size distributions from an Underwater Vision Profiler 5 aboard the Spring, Summer, and Fall 2018 cruises conducted by for the Northern Gulf of Alaska Long Term Ecological Research site (NGA LTER). Particle data are represented in distinct csvs files from each cruise. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.5517/ccdc.csd.cc28yr99
title: CCDC 2113961: Experimental Crystal Structure Determination

description: Related Article: Junqing Liang, Lefeng Dong, Feng Qian, Yijin Kong, Mingxia Wang, Xiaoyong Xu, Xusheng Shao, Zhong Li|2022|Chin.Chem.Lett.|33|4817|doi:10.1016/j.cclet.2022.01.085
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28zt14
title: CCDC 2114976: Experimental Crystal Structure Determination

description: Related Article: Bingxin Du, Qi Li, Kun Huang, Lijuan Liang|2023|J.Mol.Struct.|1271|134015|doi:10.1016/j.molstruc.2022.134015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.24431/rw1k58y
title: Carbon and Nitrogen flux and isotopic signatures from surface tethered sediment trap data collected on research cruises for the Northern Gulf of Alaska LTER site in 2019, 2021

description: This dataset contains C and N flux and C13 and N15 isotopic signatures from a surface tethered sediment trap collected in 2019 and 2021 as part of the Northern Gulf of Alaska Long Term Ecological Reserach (NGA LTER) site. This data is represented by a single csv file with sediment trap data from cruises aboard the RV Sikuliaq (cruises SKQ201915S and SKQ202106S). Data includes flag values IOCE primary flag structure: 1 = good, 2 = unknown, 3 = questionable/suspect, 4 = bad, 9 = no data. These data are part of the Northern Gulf of Alaska Long Term Ecological Research (NGA LTER) program. The LTER program is a National Science Foundation–funded network of 28 sites nationwide that focus on the influence of long-term and large-scale phenomenon on ecosystems. Additional funding for sampling is provided by the North Pacific Research Board (NPRB), the Alaska Ocean Observing System (AOOS), and the Exxon Valdez Oil Spill Trustee Council (EVOS) via the Gulf Watch Alaska program.
DOI: 10.25921/cggd-w414
title: ES60 Water Column Sonar Data Collected During GOA05SS