cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/b249097975dcd58ea2470854d5409f42
title: Monsoon Rainfall Manipulation Experiment (MRME): Net Primary Production Quadrat Data at the Sevilleta National Wildlife Refuge, New Mexico

description: The Monsoon Rainfall Manipulation Experiment (MRME) is to understand changes in ecosystem structure and function of a semiarid grassland caused by increased precipitation variability, which alters the pulses of soil moisture that drive primary productivity, community composition, and ecosystem functioning. The overarching hypothesis being tested is that changes in event size and variability will alter grassland productivity, ecosystem processes, and plant community dynamics. In particular, we predict that many small events will increase soil CO2 effluxes by stimulating microbial processes but not plant growth, whereas a small number of large events will increase aboveground net primary production (ANPP) and soil respiration by providing sufficient deep soil moisture to sustain plant growth for longer periods of time during the summer monsoon. To measure ANPP (i.e., the change in plant biomass, represented by stems, flowers, fruit and foliage, over time), the vegetation variables in this dataset, including species composition and the cover and height of individuals, are sampled twice yearly (spring and fall) at permanent 1m x 1m plots. The data from these plots is used to build regressions correlating biomass and volume via weights of select harvested species obtained in SEV157, "Net Primary Productivity (NPP) Weight Data." This biomass data is included in SEV206, "Seasonal Biomass and Seasonal and Annual NPP for the Monsoon (MRME) Study."
DOI: 10.15142/t3k63t
title: Genetic differentiation between two species of buckwheat (Eriogonum)

description: Discovering the extent of genetic differentiation between closely related taxa facilitates decisions regarding species protection under the Endangered Species Act. Here, we analyze genotype data to explore the relatedness of two buckwheat species: Eriogonum soredium Reveal- a narrow endemic under consideration for protection, and a widespread close relative, Eriogonum shockleyi S. Watson. Eriogonum soredium grows only on Ordovician limestone outcroppings in west central Utah, whereas the range of E. shockleyi is broad, spanning the western United States from Colorado to California, and Idaho to Arizona. Eriogonum shockleyi is suspected of hybridizing with other buckwheats throughout this range. We detected higher levels of genetic diversity in E. shockleyi than in E. soredium, supporting the hypothesis that E. soredium is a derivative of E. shockleyi. We found moderate levels of admixture between the two taxa, implying the presence of incomplete reproductive barriers. Analysis of population structure revealed a genetic distinction between the two species. We found that genetic distance between samples is influenced more by taxon designation than geographic distance. Genetic evidence supports continued treatment of E. soredium as a distinct evolutionary entity.
DOI: 10.15142/t3vk80
title: Salvinia RADseq
DOI: 10.15142/t3dd1k
title: Storm Enhanced Density Model Runs (GAIM-GM)

description: The Utah State University (USU) Global Assimilation of Ionospheric Measurements – Gauss Markov (GAIM-GM) model has been used to investigate the distribution of ionospheric plasma during storm times over the Continental United States. Storm periods dramatically increase the affects of space weather on the ionosphere and upper atmosphere, leading to impacts on over-the-horizon radars, GPS location determination, spacecraft charging, power grid overloads, and disruption of the Federal Aviation Administration (FAA) Wide Area Augmentation System (WAAS) to name a few. Four storm periods were investigated where strong storm enhanced densities were present; two strong, October 2003 and November 2003, and two moderate, August 2010 and August 2011. It was found that a fundamental difference in the Storm Enhanced Density (SED) formation exists between the strong and moderate storms. For the strong storms, the SED was formed from the plasma in the northern equatorial anomaly crest, with the plasma in the SED channel lifting the closer it came to the high latitudes. For the moderate storms, the SED appeared to be unconnected to the northern anomaly crest but was rather produced locally in the SED channel, along with no corresponding increase in layer height associated with the SED evident in the model.
DOI: 10.15142/t33w7w
title: Impact of basal diet on obesity phenotype of recipient mice following fecal microbiome transfer from obese or lean human donors. Appendix D.  Microbiome sequencing data

description: The complete data set generated by 16S rRNA sequencing of all fecal samples analyzed is provided as a digital data .biom file accessible.
DOI: 10.5281/zenodo.5258323
title: Supporting data for "Spin-valley coupling in single-electron bilayer graphene quantum dots"

description: Supporting data and analysis scripts for all figures in the article "Spin-valley coupling in single-electron bilayer graphene quantum dots", preprint: https://arxiv.org/abs/2103.04825 The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1
DOI: 10.5281/zenodo.5258322
title: Supporting data for "Spin-valley coupling in single-electron bilayer graphene quantum dots"

description: Supporting data and analysis scripts for all figures in the article "Spin-valley coupling in single-electron bilayer graphene quantum dots", preprint: https://arxiv.org/abs/2103.04825 The files are sorted according to the figures/panels in the publication with a "0-README.txt" file including further information. The following versions of Pyhton and the packages have been used:<br> python: 3.6.10<br> numpy: 1.18.1<br> matplotlib: 3.1.3<br> scipy: 1.4.1
DOI: 10.6084/m9.figshare.14896068.v1
title: Supp Table S1_30Jun2021.docx

description: Summary table of treatment groups and outcomes
DOI: 10.6084/m9.figshare.14896068
title: Supp Table S1_30Jun2021.docx

description: Summary table of treatment groups and outcomes
DOI: 10.15142/t3g93x
title: Data for pre-fire and post-fire surface fuel loading in a Sierra Nevada mixed-conifer forest.

description: This data set includes measurements of the 116 fuel transects that were used in Cansler et al. (in review). The research was conducted in the Yosemite Forest Dynamics Plot, Yosemite National Park, California, USA (Lutz et al. 2012).

File Cansler_et_al_YFDP_Density_By_Species_By_Decay_Class.csv

This file contains the wood density values used for the calculations.

File Cansler_et_al_YFDP_2011_CWD_DWD_input.xlsx

File Cansler_et_al_YFDP_2014_CWD_DWD_input.xlsx

These two files with identical field definitions compare the pre-fire (2011) tally of coarse woody debris (CWD) with the post-fire (2014) tally. The two files have identical field definitions.

File Cansler_et_al_YFDP_2011_LitterDuff_input.xlsx

File Cansler_et_al_YFDP_2014_LitterDuff_input.xlsx

Two files with identical field definitions comparing the pre-fire (2011) tally of litter and duff (CWD) with the post-fire (2014) tally.

File Cansler_et_al_YFDP_Fuels_to_Mass_Full.csv

File Cansler_et_al_YFDP_Fuels_to_Mass_Paired.csv

These two files with identical field definitions compare the pre-fire and post-fire fuel loading in each fuel strata. The file Cansler_et_al_Fuels_to_Mass_Full.csv contains all the data, and the file Cansler_et_al_Fuels_to_Mass_Paired.csv contains the data that was used for the pre-fire to post-fire spatial comparisons.
DOI: 10.26078/9vtk-zg12
title: Data from: Mapping of Dynamic Transcriptome Changes Associated with Silica-Triggered Autoimmune Pathogenesis in the Lupus-Prone NZBWF1 Mouse.

description: The dataset contains six files of tabular data with an accompanying README file.

Supplementary file 1: Customized probe annotation file for the Nanostring nCounter Mouse PanCancer Immune Profiling Panel (catalog # 115000142). This file is provided as supporting material for a journal article. Codes for columns are in file.

Supplementary file 2: Microsoft Excel document with output from nSolver for differential expression analyses for pairwise comparisons noted by each named sheet. This data set is supporting material for a journal article. Codes for columns are listed in README.

Supplementary File 3: Microsoft Excel document with output from nSolver for global and directed significance scores for immune pathways. This data set is supporting material for a journal article.

Supplementary File 4: Microsoft Excel document with output from nSolver for immune pathway Z scores for pairwise comparisons noted by each named sheet (11 sheets total). This data set is supporting material for a journal article.

Supplementary File 5: Microsoft Excel document with output from nSolver for cell type profiling scores for VEH vs cSiO2 exposed mice, as noted by each tab name (8 sheets total). This data set is supporting material for a journal article.

Supplementary File 6: Microsoft Excel document with protein networks obtained from STRING database and clusters predicted by the MCL algorithm. This data set is supporting material for a journal article. File contains 14 sheets. Descriptions for columns of the "network" sheets are in the README file
DOI: 10.26078/c3h5-ek84
title: Elemental and oxidized mercury in ambient air at Rocky Flats, Colorado

description: This is a dataset of elemental and oxidized mercury in the ambient atmosphere at latitude 39.912799 and longitude -105.188587. This is the locations of the Rocky Flats North air quality monitoring station, operated by the Colorado Department of Public Health and Environment. We collected these measurements using a dual-channel atmospheric mercury speciation instrument.
DOI: 10.3886/e132762v1
title: Data and Code for: The Effects of Parental and Sibling Incarceration: Evidence from Ohio

description: Every year, millions of Americans experience the incarceration of a family member. Using 30 years of administrative data from Ohio and exploiting differing incarceration propensities of randomly assigned judges, this paper provides the first quasi-experimental estimates of the effects of parental and sibling incarceration in the US. Contrary to conventional wisdom, parental incarceration has a net positive effect on some important outcomes for children, reducing their likelihood of incarceration by 4.9 percentage points and improving their adult neighborhood quality. While estimates on academic performance and teen parenthood are imprecise, we reject large positive or negative effects. Sibling incarceration leads to similar reductions in criminal activity.
description: Children of incarcerated parents in Cuyahoga County, Franklin County, and Hamilton County .
DOI: 10.26078/0s6r-8e27
title: London Stage Database

description: Recovered files, and documents and archival data used to revitalize the London Stage Information Bank, which was completed in the 1970s but had become technologically obsolete.
DOI: 10.26078/4697-1p77
title: Data from: Docosahexaenoic Acid Consumption Impedes Early Interferon- and Chemokine-related Gene Expression While Suppressing Silica-Triggered Flaring of Murine Lupus

description: The dataset contains five files of tabular data with an accompanying README file.

Supplementary file 1: Customized probe annotation file for the Nanostring nCounter Mouse PanCancer Immune Profiling Panel (catalog # 115000142). This file is provided as supporting material for a journal article.

Supplementary file 2: Microsoft Excel document with output from nSolver for differential expression analyses for pairwise comparisons noted by each named sheet. This data set is supporting material for a journal article.

Supplementary file 3: Microsoft Excel document with output from nSolver for global and directed significance scores for immune pathways. This data set is supporting material for a journal article.

Supplementary file 4: Microsoft Excel document with output from nSolver for immune pathway Z scores for pairwise comparisons noted by each named sheet. This data set is supporting material for a journal article.

Supplementary file 5: Microsoft Excel document with protein networks obtained from STRING database and clusters predicted by the MCL algorithm. This data set is supporting material for a journal article.
DOI: 10.26078/bqpe-jt65
title: Optical Gas Imaging Survey of Oil and Gas Wells in the Uinta Basin, Utah

description: This is a dataset of oil and gas well pads which were surveyed for hydrocarbon emissions with an optical gas imaging camera deployed from the ground at pad edges. The data are described thoroughly in a peer-reviewed paper: Lyman S., Tran, T., Mansfield, M. Ravikumar, A., 2019. Aerial and Ground-Based Optical Gas Imaging Survey of Uinta Basin Oil and Gas Wells.

These are example videos collected during a hydrocarbon emissions survey of oil and gas well pads in Utah.

ExampleGroundVideo.mp4 is a video created with an optical gas imaging camera of an emission plume from well pad equipment. The video was collected from the ground. During the video, the camera is operated in auto mode and high-sensitivity mode.

ExampleAerialVideo.wmv is a video created with an optical gas imaging camera of an emission plume from well pad equipment. The video was collected from a helicopter. The video shows a leak from the same well pad as ExampleGroundVideo.mp4, but the videos were not collected at the same time.

The videos named Aerial_DATE_propane.wmv were collected with an optical gas imaging camera deployed from a helicopter. The emission plumes shown were created by releasing a known quantity of propane from a stainless steel tube.

The videos named Ground_DATE_propane.mp4 were collected with an optical gas imaging camera deployed on the ground. The emission plumes shown were created by releasing a known quantity of propane from a stainless steel tube. These videos were collected at the same time as the aerial videos with the same dates.
DOI: 10.26078/x535-hw49
title: Data from: PNAS2019 Postdoc Mentoring Survey

description: The doctoral advisor, typically the principal investigator (PI), is often characterized as a singular or primary mentor who guides students using a cognitive apprenticeship model. Alternatively, the cascading mentorship model describes the members of laboratories or research groups receiving mentorship from more senior laboratory members and providing it to more junior members (i.e., PIs mentor postdocs, postdocs mentor senior graduate students, senior students mentor junior students, etc.). Here we show that PIs laboratory and mentoring activities do not significantly predict students skill development trajectories, but the engagement of postdocs and senior graduate students in laboratory interactions do. We found that the cascading mentorship model accounts best for doctoral student skill development in a longitudinal study of 336 PhD students in the United States. Specifically, when postdocs and senior doctoral students actively participate in laboratory discussions, junior PhD students are over 4 times as likely to have positive skill development trajectories. Thus, postdocs disproportionately enhance the doctoral training enterprise, despite typically having no formal mentorship role. These findings also illustrate both the importance and the feasibility of identifying evidence-based practices in graduate education.
DOI: 10.26078/xn2d-wh07
title: Data from: Wildfire, National Park Visitation, and Changes in Regional Economic Activity

description: The visibility, safety, and health effects of seasonal wildfires may affect recreational visits to national parks (NPs), even if fires occur outside of park boundaries. This study statistically quantifies the effect of nearby wildfire on tourist flows to each of Utah's five NPs (Arches, Bryce Canyon, Canyonlands, Capitol Reef, and Zion). Using monthly data from May 1993 to December 2015, we empirically link wildfire activities (measured as monthly area burned within 80 km, 160 km, and 320 km radii) to monthly visits to each national park. Results show that wildfire has negative and statistically significant effects on visitation in four of the five NPs. Aggregate annual visitation losses at each park are between 0.5% and 1.5% during a typical (mean) fire year. The negative regional economic impacts of seasonal wildfire at all national parks in Utah are estimated to be between $2.7 and $4.5 million, with an associated loss of between 31 and 53 jobs depending on the extent of area burned. Economic impacts of reduced visitor expenditures are distributed unequally, with proportionately greater negative effects occurring in tourism-dependent rural economies.
DOI: 10.26078/99w7-eb58
title: Isotope Summary Data

description: Data includes deuterium tracer uptake data from plant species at the US Sheep Experiment Station.
DOI: 10.15468/54npbh
title: Polypedilum (Uresipedilum) Oyewo and Saether from China (Diptera: Chironomidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Ruilei, Wang, Xinhua (2004): Polypedilum (Uresipedilum) Oyewo and Saether from China (Diptera: Chironomidae). Zootaxa 565 (1): 1-38, DOI: 10.11646/zootaxa.565.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.565.1.1
DOI: 10.5066/p92rjojs
title: Microbiology of the Utica Shale

description: In order to determine the innate microbial community of shale gas reservoirs and how they are impacted by hydraulic fracturing, this study analyzed biomass collected from produced water and rock from hydraulically fractured wells in the Utica Shale. The samples include rock chips from a drill core from one Utica well, produced water from that same Utica well, and produced water from 12 different Utica wells that had been in production between 1-5 years, spanning the oil and gas windows of SE Ohio. The samples were filtered for biomass, extracted, amplified, and 16S rRNA gene sequencing was performed on the Illumina MiSeq platform.
DOI: 10.15468/6gkfkc
title: Macrourimegatrema brayi n. gen., n. sp. (Digenea: Opecoelidae) from four species of deep-sea macrourid fishes from the Gulf of Mexico and Caribbean Sea, with a list of endohelminths reported from species of Bathygadus and Gadomus (Macrouridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Blend, Charles K., Dronen, Norman O., Armstrong, Howard W. (2004): Macrourimegatrema brayi n. gen., n. sp. (Digenea: Opecoelidae) from four species of deep-sea macrourid fishes from the Gulf of Mexico and Caribbean Sea, with a list of endohelminths reported from species of Bathygadus and Gadomus (Macrouridae). Zootaxa 566 (1): 1-18, DOI: 10.11646/zootaxa.566.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.566.1.1
DOI: 10.6084/m9.figshare.16441254
title: Dairy Heifer Motivation for Access to a Shaded Area

description: Data used in Study Dairy Heifer Motivation for Access to a Shaded Area
DOI: 10.6084/m9.figshare.16441254.v1
title: Dairy Heifer Motivation for Access to a Shaded Area

description: Data used in Study Dairy Heifer Motivation for Access to a Shaded Area
DOI: 10.5517/ccdc.csd.cc26wz36
title: CCDC 2052668: Experimental Crystal Structure Determination

description: Related Article: Gül Yakalı|2021|Phys.Chem.Chem.Phys.(PCCP)|23|11388|doi:10.1039/D0CP06690G
DOI: 10.5517/ccdc.csd.cc276sfp
title: CCDC 2062102: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276sgq
title: CCDC 2062103: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276shr
title: CCDC 2062104: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276sjs
title: CCDC 2062105: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276skt
title: CCDC 2062106: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276slv
title: CCDC 2062107: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276smw
title: CCDC 2062108: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276spy
title: CCDC 2062110: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276sqz
title: CCDC 2062111: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276sr0
title: CCDC 2062112: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276ss1
title: CCDC 2062113: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc276st2
title: CCDC 2062114: Experimental Crystal Structure Determination

description: Related Article: Madhu Rajkumar|2021|Cryst.Growth Des.|21|3547|doi:10.1021/acs.cgd.1c00303
DOI: 10.5517/ccdc.csd.cc2789vp
title: CCDC 2063572: Experimental Crystal Structure Determination

description: Related Article: Adway O. Zacharias, James X. Mao, Kwangho Nam, H. V. Rasika Dias|2021|Dalton Trans.|50|7621|doi:10.1039/D1DT00974E
DOI: 10.5517/ccdc.csd.cc2789wq
title: CCDC 2063573: Experimental Crystal Structure Determination

description: Related Article: Adway O. Zacharias, James X. Mao, Kwangho Nam, H. V. Rasika Dias|2021|Dalton Trans.|50|7621|doi:10.1039/D1DT00974E
DOI: 10.5517/ccdc.csd.cc2789xr
title: CCDC 2063574: Experimental Crystal Structure Determination

description: Related Article: Adway O. Zacharias, James X. Mao, Kwangho Nam, H. V. Rasika Dias|2021|Dalton Trans.|50|7621|doi:10.1039/D1DT00974E
DOI: 10.5517/ccdc.csd.cc27grs8
title: CCDC 2069770: Experimental Crystal Structure Determination

description: Related Article: Shuyuan Mo, Jie Yin, Zi Ye, Fengli Li, Shuang Lin, Sitian Zhang, Beiye Yang, Jun Yao, Jianping Wang, Zhengxi Hu, Yonghui Zhang|2021|Phytochemistry|190|112892|doi:10.1016/j.phytochem.2021.112892
DOI: 10.5517/ccdc.csd.cc27kxf5
title: CCDC 2072797: Experimental Crystal Structure Determination

description: Related Article: Christine Bourguignon, Dorothee Schindler, Gangxiang Zhou, Frank Rominger, Michael Mastalerz|2021|Org.Chem.Front.|8|3668|doi:10.1039/D1QO00478F
DOI: 10.5517/ccdc.csd.cc27kxg6
title: CCDC 2072798: Experimental Crystal Structure Determination

description: Related Article: Christine Bourguignon, Dorothee Schindler, Gangxiang Zhou, Frank Rominger, Michael Mastalerz|2021|Org.Chem.Front.|8|3668|doi:10.1039/D1QO00478F
DOI: 10.5517/ccdc.csd.cc27mpzk
title: CCDC 2074519: Experimental Crystal Structure Determination

description: Related Article: Jan Janczak|2021|J.Mol.Struct.|1242|130736|doi:10.1016/j.molstruc.2021.130736
DOI: 10.5517/ccdc.csd.cc27mq0m
title: CCDC 2074520: Experimental Crystal Structure Determination

description: Related Article: Jan Janczak|2021|J.Mol.Struct.|1242|130736|doi:10.1016/j.molstruc.2021.130736
DOI: 10.5517/ccdc.csd.cc27nghw
title: CCDC 2075248: Experimental Crystal Structure Determination

description: Related Article: Mi-Hee Jung|2021|Dalton Trans.|50|10261|doi:10.1039/D1DT01465J