cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f73n21xc
title: Oxide and Cation Compositions of Pyroxene Grains from Drill Core of the Duluth Complex, Minnesota

description: The table contains oxide and cation compositions of pyroxene grains from drill core in the Duluth Complex. The oxides were determined by electron probe microanalysis (EPMA) and are reported in weight percent (we%). The cations were calculated from the oxide concentrations and are reported in mole percent (mol%). Pyroxene minerals are a group of rock-forming inosilicate minerals with calcium (Ca), iron (Fe), and magnesium (Mg) endmembers. Wollastonite (Wo) is the Ca-endmember with the formula Ca2Si2O6. Ferrosilite (Fs) is the Fe-endmember with the formula Fe2Si2O6, and enstatite (En) is the Mg-endmember with the formula Mg2Si2O6. In order to better understand the chemical compositions of the pyroxenes, the percent of Wo, Fs, and En were also determined using the cation compositions Ca, Fe, and Mg.
DOI: 10.5066/f7k9362h
title: Major, Minor, and Trace Element Compositions of Bulk Drill Core Samples from the Duluth Complex, Minnesota

description: This table reports major, minor, and trace element compositions of bulk drill core samples from the Duluth Complex, Minnesota. Major elements were measured using wavelength dispersive X-ray fluorescence (XRF) and inductively coupled plasma atomic emission spectrometry (ICP-AES); minor and trace elements were determined using ICP-AES, inductively coupled plasma mass spectrometry (ICP-MS), and hydride generation atomic absorption spectrometry (HGAAS). Total carbon, carbonate carbon, and total sulfur were also analyzed. Total carbon was measured by combustion followed by infrared detection on LECO instrumentation. Carbonate carbon in the bulk rock samples was determined as carbon dioxide by coulometric titration. Total sulfur was determined by combustion followed by infrared detection on LECO instrumentation.
DOI: 10.14469/hpc/3467
title: 3, TPSSh/Def2-SVPP/SCRF=thf, singlet, NBO + Wiberg bond orders

description: Gaussian Calculation
DOI: 10.14469/hpc/3470
title: OH4 Def2-QZVPPD NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3471
title: Hexamethyl tungsten Def2-TZVPPD WFX

description: Gaussian Calculation
DOI: 10.5066/f7f76bgr
title: Sandhill crane locations, autumn 2013 migration

description: Sandhill cranes are a long-lived bird species found in wetland-rich landscapes across North America. This dataset includes locations of 5 cranes during a single autumn migration from their breeding areas in northeastern Asia and south through Alaska, central Canada, and the Great Plains. The migration ends in northern Texas and northern Mexico. These data were used as a case study to highlight the utility of a continuous-time movement model to characterize animal migration and networks.
DOI: 10.18739/a2xg24
title: Greenland Summit 2013 Firn Air Results

description: This data set contains measurements of 14C in CO2, CO and CH4 in firn air sampled at Greenland Summit. The main feature in the Δ14C of CO2 data is an increase with depth that reflects a smoothed atmospheric Δ14C of CO2 history. The highest Δ14C of CO2 value at 80.06 m sampling depth approximately coincides with the atmospheric 14C “bomb peak”, with signal smoothing from firn gas diffusion, as for other samples. The concentration of 14C of CO shows relatively little change in the upper part of the firn (0 - 68 m), and increases strongly in the lock-in zone (68 - 80 m). This increase is driven by the accumulation of in situ cosmogenic 14CO in air in the firn lock-in zone. 14C of CH4 also shows relatively little change in the upper part of the firn (0 - 68m), reflecting relatively stable 14C of CH4 values in the atmosphere in the decade preceding sampling. 14C of CH4 declines with depth in the firn lock-in zone, reflecting lower 14C of CH4 values in the atmosphere going further back in time. This decline is mainly caused by lower 14CH4 emissions from nuclear power plants further back in time.
DOI: 10.3886/icpsr36818.v1
title: Newly Licensed Registered Nurse Quality Improvement Survey 2, 2010
title: Version 1

description: The purpose of this study was to describe what newly licensed registered nurses working in hospitals learned about quality improvement in their education programs and workplaces. The survey was administered to nurses working in a hospital who participated in the second wave of the Newly Licensed RN Survey: Newly Licensed Registered Nurse Survey, 2007 (ICPSR 36812). Quality improvement topics covered by the survey include patient-centered care; evidence-based practice; standardized practices for restrain and seclusion, infection control and pain management; use of information technology or strategies to reduce reliance on memory; participation in analyzing errors and designing system improvements; use of national patient safety resources, initiatives or regulations; and use of specific quality improvement models, specifically, FADE (Focus, Analyze, Develop, Execute, and Evaluate), PDSA (Plan, Do, Study, Act), Six-Sigma-DMAIC/DMADV (Define, Measure, Analyze, Improve, Control) or (Define, Measure, Analyze, Design, Verify), CQI (Continuous Quality Improvement) and TQM (Total Quality Management).
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Response Rates: 47%
description: Datasets: DS1: Newly Licensed Registered Nurse Quality Improvement Survey 2, 2010
description: Newly Licensed Registered Nurse Survey Series
description: mail questionnaire
description: Registered nurses working in a hospital who obtained their first license to practice between September 1, 2004 and August 31, 2005. Smallest Geographic Unit: State
description: The sample for the Quality Improvement Survey was selected from nurses who had participated in the New Cohort Survey conducted January 2009-May 2009. Only those who reported working in hospitals were eligible for the 2010 Quality Improvement Survey.
DOI: 10.5066/f72b8wxk
title: Water Surface Images of Willow Creek Reservoir in Heppner, Oregon (2015 and 2016)

description: A camera was deployed to monitor cyanobacterial surface blooms occurring in Willow Creek Reservoir in Heppner, Oregon. The camera was positioned above the water and facing downwards to achieve the desired contrast in colors. With the appropriate permissions from USACE, the camera was attached to a railing of the Willow Creek Dam in the northwest corner of the reservoir about 70 feet above the surface of the water. The system was powered by a solar panel and large battery. The camera was programmed to take a series of 5 pictures from different angles every 15 minutes during daylight hours. During 2015, the camera was installed on May 14 and retrieved on November 9. A polarizing lens specific to the Axis 214 camera was tested from May 2015 to July 2015. The camera was installed at the same location on July 20, 2016 and was retrieved November 22, 2016. During 2016, the images were telemetered to a website. This dataset contains images of the surface of the water taken from the dam in the northwest corner of Willow Creek Reservoir. When the camera was fully functional, images were taken at 5 positions every 15 minutes during daylight hours. All images were checked for quality control before they were archived on this site. Photos that were dark (evening or early morning), blurry (taken when the camera was in motion), or obscured by glare were deleted from the dataset.
DOI: 10.5066/f74f1p00
title: Geospatial data for contaminants at Palmyra Atoll, 2008 and 2010

description: Palmyra atoll includes nearly 50 square kilometers of coral reef and 275 hectares of emergent lands that include forests of endangered Pisonia grandis trees and colonies of several species of birds. The reef is considered pristine, but some land areas and nearshore sediments are chemically contaminated from activities that occurred during the occupation of the atoll by the US Navy during World War II. In 2008 and 2010, a screening survey was conducted to measure toxic elements in soils and sediments at locations known or suspected to be contaminated. A map of Navy facilities on the atoll in 1944 was scanned, mosaicked, and georeferenced, and identifiable facilities were digitized and attributed with information from the map legend. This geospatial data provided the framework for a targeted survey of contamination in soils and sediment on and around the atoll, using a hand-held X-Ray Fluorometer (XRF) to measure the concentration of 25 elements. Results identify dozens of locations where concentrations of toxic elements exceeded established terrestrial soil and marine sediment thresholds above which adverse ecological effects are expected. The map of naval facilities and the locations of XRF samples were compiled into a geospatial database to alert resource managers to potential issues on the atoll and to inform potential remediation and habitat restoration activities. Deployment locations for passive organic contaminant samplers known and Semi-Permeable Membrane Devices (SPMD) are also provided. As of March 2017, SPMDs had not been analyzed for organic contaminants.
DOI: 10.5066/f7f18xqm
title: Mercury and methylmercury concentrations and litterfall mass in autumn litterfall samples collected at selected National Atmospheric Deposition Program sites in 2016

description: Mercury (Hg) is a persistent environmental contaminant and can accumulate and concentrate in food webs as methylmercury (MeHg), presenting a health risk to humans and wildlife. Multiyear monitoring and modeling studies have shown that atmospheric Hg in litterfall is an important form of Hg deposition to forests. Annual litterfall consists primarily of leaves with some amounts of needles, twigs, bark, flowers, seeds, fruits, and nuts. Atmospheric Hg accumulates in leaves and reaches an annual maximum concentration at autumn leaf drop. This data set is derived from ambient autumn litterfall samples collected at 23 selected National Atmospheric Deposition Program (NADP) Litterfall Mercury Monitoring Initiative (LMMI) sites located near NADP Mercury Deposition Network sites in deciduous and mixed deciduous-coniferous forests in 11 states in the eastern United States during 2016. The NADP administered litterfall collection at the LMMI sites. The U.S. Geological Survey (USGS) distributed sets of passive litterfall sample collectors to LMMI site operators for systematic retrieval of samples during the 4 to 24 weeks of autumn leaf drop at each site. Samples were processed and analyzed at the USGS Mercury Research Laboratory where concentrations of Hg and MeHg and litterfall dry mass and sample moisture were determined. Hg concentrations were measured in 4 samples collected from each site and MeHg concentrations were measured in one composite sample per site. Litterfall mass and sample moisture were determined for 8 samples per site. Duplicate sets of these sample data were determined for 3 sites in 2016.
DOI: 10.5066/f7sf2v44
title: Data for Systematic Observations of the Slip-pulse Properties of Large Earthquake Ruptures

description: This data release includes geodetic time series from high-rate GPS instruments recording 4 earthquakes co-seismically in the near-field the 2010 Maule, Chile earthquake; the 2012 Nicoya, Costa Rica earthquake; the 2014 Iquique, Chile earthquake; and the 2015 Gorkha, Nepal earthquake. For each earthquake, data (sac files, 1 Hz sampling, ~2-3 minutes around the earthquake origin time) are included in a separate folder. Each sac file provides a time series of ground displacement from the earthquake as recorded at that station. The location of each station is listed in the relevant earthquake file in the _station_info folder.
DOI: 10.18739/a2dk0r
title: Greenland Summit 14C and close-off studies

description: This data set, when complete, will contain the following: 1) 14CO, 14CO2 and 14CH4 data from measurements in firn air, firn matrix and shallow ice (to 130 m) at Greenland Summit. 2) Supporting firn air trace gas measurements for firn model tuning 3) Noble gas isotope measurements in firn air 4) high-resolution measurements of CH4 and air content in the lock-in zone 5) Measurements of [CO] and CO stable isotopes in firn air
DOI: 10.18739/a2j85s
title: Summit, Greenland lock in zone methane and total air content data

description: Total air content and methane concentration in the lock in zone of an ice core collected at Summit, Greenland. These data were collected to study the processes that trap air in polar firm. The lock in zone is the region where air transport stops and bubbles close off to trap air. The total air content and methane concentration in the closed porosity of ice samples were measured using a standard melt/refreeze method at Oregon State University (see methods). This aspect of the project was designed to obtain a better understanding of when bubbles close off during the evolution of the firm layer.
DOI: 10.14469/hpc/3475
title: RETMUY (ReMe8 2-) NBO Re 6.4735

description: Gaussian Calculation
DOI: 10.14469/hpc/3477
title: Diazomethane, Def2-TZVPP WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3478
title: Diazomethane, Def2-TZVPP Wiberg

description: Gaussian Calculation
DOI: 10.14469/hpc/3479
title: SiH6 (2-) Def2-QZVPPD NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3480
title: SiH6 (2-) Def2-QZVPPD WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3481
title: SiH6 (2-) Def2-QZVPPD Water WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3482
title: SiH6 (2-) Def2-QZVPPD Water NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3484
title: Ozone, Def2-TZVPP NBO

description: Gaussian Calculation
DOI: 10.5281/zenodo.1123458
title: ROS-Specific Huntingtin Interactions: ROS Source Optimization in Mouse Striatal Cells

description: Optimization step in the lead up to mass spec identification of ROS-specific huntingtin protein-protein interactions.
description: This work is funded by the HDSA Berman/Topper HD Career Development Fellowship.
DOI: 10.5281/zenodo.1123459
title: ROS-Specific Huntingtin Interactions: ROS Source Optimization in Mouse Striatal Cells

description: Optimization step in the lead up to mass spec identification of ROS-specific huntingtin protein-protein interactions.
description: This work is funded by the HDSA Berman/Topper HD Career Development Fellowship.
DOI: 10.14469/hpc/3483
title: Diazomethane, CASSCF(12,12)/Def2-TZVPP WFN

description: Gaussian Calculation
DOI: 10.18739/a28r9n
title: Greenland Fjory Passive Acoustic Data, Saqardleq fjord, West Greenland, 2013
DOI: 10.18739/a21854
title: Greenland Fjord Passive Acoustic Data, Saqardleq Fjord, West Greenland, 2013
DOI: 10.18739/a2526p
title: Greenland Fjory Passive Acoustic Data, Saqardleq fjord, West Greenland, 2013
DOI: 10.14469/hpc/3487
title: Ozone, Def2-TZVPP WFN CASSCF(14,14)

description: Gaussian Calculation
DOI: 10.14469/hpc/3488
title: Ozone, Def2-TZVPP WFN

description: Gaussian Calculation
DOI: 10.5525/gla.researchdata.564
title: On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings
DOI: 10.15468/gohlb5
title: Vegetation relevés in temperate forest region of European Russia

description: Our local database includes about 5000 vegetation relevés sampled at temporal plots (commonly 10 × 10 m) which are mostly located in State nature reserves and National parks of European Russia. The relevés describe forest communities and, to a lesser extent, meadow communities; about 10% of the relevés was sampled on former agricultural fields which were abandoned from 1 to 25 years before the sampling. Mature and old-growth broad-leaved forests dominated by Quercus robur, Fraxinus excelsior, Tilia cordata, Ulmus spp. and Acer spp. as well as mixed forests with Picea abies and/or Pinus sylvestris and broad-leaved trees are described from the State Nature Reserves Kaluzhskie zaseki, Voronezhskiy, Kologrivskiy Les, Prioksko-Terrasnyi, Prisurskiy, Bolshaya Kokshaga and from the Ugra and Mariy-Chodra National Parks. Modern relevés were georeferenced with using GPS, legacy ones based on verbal descriptions of sampling plot locations. E. Starodubtseva, M. Bobrovsky, N. Sultanova, O. Smirnova, L. Zaugolnova, M. Shovkun, M. Bekmansurov, S. Moskalenko, Yu. Dorogova, and N. Ivanova are authors of a large part of the relevés. Current projects Projects nos. 15-29-02724, 16-34-00866 and 17-44-500297 of the Russian Foundation for Basic Research
DOI: 10.18739/a2wk2v
title: Atmospheric hydrocarbons as tracers for climate change, air transport, and oxidation chemistry in the Arctic, GEOSummit, Greenland, 2008-2017
DOI: 10.6073/pasta/451fe8e98c663c728be3f85d3149e109
title: Net primary production (NPP) and climate data from Sevilleta LTER core and control sites in desert grassland and shrubland ecosystems, 1999 - 2017

description: This dataset and R code were used to create the figures, tables and statistical analyses for the following publication: Rudgers, JA et al. 2018. Climate sensitivity functions and net primary production: A framework for incorporating climate mean and variability. Ecology. Data were collected by the Sevilleta LTER program, which is located in the Sevilleta National Wildlife Refuge (SNWR), New Mexico. These are long-term, continuing data sets. Data collection started in 1999 at the black grama grassland and creosote shrubland, and in 2002 for blue grama grassland. Meteorological stations started recording data as early as 1989. The study abstract from Rudgers et al. 2018 is: Understanding controls on net primary production (NPP) has been a long-standing goal in ecology. Climate is a well-known control on NPP, although the temporal differences among years within a site are often weaker than the spatial pattern of differences across sites. Climate sensitivity functions describe the relationship between an ecological response (e.g., NPP) and both the mean and variance of its climate driver (e.g., aridity index), providing a novel framework for understanding how climate trends in both mean and variance vary with NPP over time. Nonlinearities in these functions predict whether an increase in climate variance will have a positive effect (convex nonlinearity) or negative effect (concave nonlinearity) on NPP. The influence of climate variance may be particularly intense at ecosystem transition zones, if species reach physiological thresholds that create nonlinearities at these ecotones. Long-term data collected at the confluence of three dryland ecosystems in central New Mexico revealed that each ecosystem exhibited a unique climate sensitivity function that was consistent with long-term vegetation change occurring at their ecotones. Our analysis suggests that rising temperatures in drylands could alter the nonlinearities that determine the relative costs and benefits of variance in precipitation for primary production.
DOI: 10.13012/b2idb-6858418_v2
title: Targeted ballet program mitigates ataxia and improves agility in moderate-to-advanced multiple sclerosis

description: TBP assessment raw data files of pre- and post- motion capture velocity and center of pressure force plate data. Labels are self-explanatory. The .mat files refer to data exported from the force plate for the time-to-stabilization assessments while the .txt files are the data collected for smoothness of gait assessments. These files do not relate to one another and are from separate assessments. Version2's files are the result from using Python code Data_Bank_Cleaner.py on version1's. Please find more information in READ_ME_databank.txt.
DOI: 10.14469/hpc/3489
title: Diazosilane, non-planar, Def2-TZVPP NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3490
title: Diazosilane, planar, Def2-TZVPP NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3491
title: Dicyanodiazomethane, Def2-TZVPP WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3492
title: Dicyanodiazomethane, Def2-TZVPP NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3493
title: Diazomethane, radical anion, WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3494
title: Dinitrodiazomethane, Def2-TZVPP WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3495
title: Dinitrodiazomethane, Def2-TZVPP NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3498
title: Dinitrodiazomethane, Def2-TZVPP CASSCF(14,14) WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3499
title: TI1, -1390.053708 (0.0) 10.14469/hpc/3499 Ph substituents

description: Gaussian Calculation
DOI: 10.14469/hpc/3500
title: Reactant 1st cycle -1390.046904 (0.0) 10.14469/hpc/3500, Ph

description: Gaussian Calculation
DOI: 10.14469/hpc/3501
title: SiMe6 (2-) Def2-TZVPPD Water NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3502
title: SiMe6 (2-) Def2-TZVPPD Water WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3505
title: H2C=N=CMe TS NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3506
title: H2C=N=CMe TS WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3507
title: H2C=N=CMe IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/3508
title: H2C=N=CMe TS WFN CASSCF(12,12)

description: Gaussian Calculation
DOI: 10.14469/hpc/3509
title: H2CNC (-) NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3510
title: H2CNC (-) WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3511
title: H2CNCNH2 WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3512
title: H2CNCNH2 Wiberg NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3513
title: H2CNCNH2 IRC

description: Gaussian Calculation
DOI: 10.14469/hpc/3514
title: H2CNCCN Wiberg NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3515
title: H2CNCCN WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3516
title: H2CNCF3 WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3517
title: (NO2)2CNCCN WFN

description: Gaussian Calculation
DOI: 10.14469/hpc/3518
title: (NO2)2CNCCN NBO

description: Gaussian Calculation
DOI: 10.14469/hpc/3520
title: N-(4-Methylbenzyl)-2-phenylacetamide (3)

description: N-(4-Methylbenzyl)-2-phenylacetamide
DOI: 10.14469/hpc/3521
title: 2-Phenyl-1-(pyrrolidin-1-yl)ethan-1-one (4)

description: 2-Phenyl-1-(pyrrolidin-1-yl)ethan-1-one (4)
DOI: 10.14469/hpc/3522
title: 1-Morpholino-2-phenylethan-1-one (5)

description: 1-Morpholino-2-phenylethan-1-one (5)
DOI: 10.14469/hpc/3523
title: N-Benzyl-N-methyl-2-phenylacetamide (6)

description: N-Benzyl-N-methyl-2-phenylacetamide (6)
DOI: 10.14469/hpc/3524
title: 2-Phenyl-N-(m-tolyl)acetamide (7)

description: 2-Phenyl-N-(m-tolyl)acetamide (7)
DOI: 10.14469/hpc/3525
title: N-(4-Methylbenzyl)benzamide (8)

description: N-(4-Methylbenzyl)benzamide (8)
DOI: 10.14469/hpc/3526
title: Phenyl(pyrrolidin-1-yl)methanone (9)

description: Phenyl(pyrrolidin-1-yl)methanone (9)
DOI: 10.14469/hpc/3527
title: Morpholino(phenyl)methanone (10)

description: Morpholino(phenyl)methanone (10)
DOI: 10.14469/hpc/3528
title: N-Benzyl-N-methylbenzamide (11)

description: N-Benzyl-N-methylbenzamide (11)
DOI: 10.14469/hpc/3529
title: N-(m-Tolyl)benzamide (12)

description: N-(m-Tolyl)benzamide (12)
DOI: 10.14469/hpc/3530
title: Benzoyltrimethoxysilane (13)

description: Benzoyltrimethoxysilane (13)
DOI: 10.14469/hpc/3531
title: N-Benzyl-(1-adamantane)-carboxamide (15)

description: N-Benzyl-(1-adamantane)-carboxamide (15)
DOI: 10.14469/hpc/3532
title: N-Benzylpivalamide (16)

description: N-Benzylpivalamide (16)
DOI: 10.14469/hpc/3533
title: 2-Methyl-N-(p-tolyl)benzamide (17)

description: 2-Methyl-N-(p-tolyl)benzamide (17)
DOI: 10.14469/hpc/3534
title: (2-Iodophenyl)(morpholino)methanone (18)

description: (2-Iodophenyl)(morpholino)methanone (18)
DOI: 10.14469/hpc/3535
title: 4-Chloro-N-(2-morpholinoethyl)benzamide (19)

description: 4-Chloro-N-(2-morpholinoethyl)benzamide (19)
DOI: 10.14469/hpc/3536
title: N-(2-(Diethylamino)ethyl)-4-nitrobenzamide (20)

description: N-(2-(Diethylamino)ethyl)-4-nitrobenzamide (20)