cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_5112764
title: Penal Days

description: Story collected by Thomas Reilly, a student at Moynalty (B.) school (Moynalty, Co. Meath) from informant Patrick Reilly.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Uillford Ó Maoilmhichil.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112765
title: Toys

description: Story collected by Lena Carolan, a student at Maio school (Trohanny, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire Ní Chreaig.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112766
title: Old Schools

description: Story collected by James Cassidy, a student at Moynalty (B.) school (Moynalty, Co. Meath) from informant Michael Meenagh.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Uillford Ó Maoilmhichil.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112767
title: Famine Days

description: Story collected by Máire Finnegan, a student at Edengorra school (Edengora, Co. Meath) from informant James Skelly.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Michael Hetherton.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112768
title: Toys - A Kite

description: Story collected by Patrick Connor, a student at Maio school (Trohanny, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire Ní Chreaig.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112770
title: Toys - A Horn

description: Story collected by Peter Alwill, a student at Maio school (Trohanny, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire Ní Chreaig.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112771
title: Food in Olden Times

description: Story collected by a student at Rathcarran school (Rathcarran, Co. Meath) from informant Mrs Murray.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Caitlín Ní Chonnachtáin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112772
title: Ghost at Feagh

description: Story collected by Patrick Connelly, a student at Moynalty (B.) school (Moynalty, Co. Meath) from informant Paddy Lynch.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Uillford Ó Maoilmhichil.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112773
title: Homemade Toys

description: Story collected by Patrick Mc Cormac, a student at Maio school (Trohanny, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire Ní Chreaig.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5112774
title: Local Heroes

description: Story collected by Patrick Flanagan, a student at Edengorra school (Edengora, Co. Meath) from informant James Powell.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Michael Hetherton.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.25675/10217/235365
title: Measurements of volatile organic compounds at two locations in the Northern Colorado Front Range during Spring 2022

description: This dataset contains information on VOC concentration and meteorological conditions collected at the Hearthfire neighborhood (40.638, -105.054) in Fort Collins, CO from February 11, 2022 to April 25, 2022 and the Bella Romero neighborhood (40.405, -104.659) in Greeley, CO from February 23, 2022 to May 5, 2022. At the Hearthfire neighborhood site, triggered canisters were not installed until February 17, 2022. The dataset includes 3 different files: 1) SPOD_PID_Data.zip; 2) Triggered_Canisters.csv; and 3) Integrated_Canisters.csv.
description: This dataset was collected by Colorado State University (CSU) graduate students during the spring 2022 semester as part of a course in the Department of Atmospheric Science (ATS-716: Air Quality Characterization). Measurements of volatile organic compounds (VOCs) were collected at two locations in Northern Colorado using low-cost sensors called SENSIT SPODs. The SENSIT SPOD sensor package combines wind field and air pollutant concentration measurements to detect emission plumes and locate the source of those emissions. The sensor measures non-speciated, uncalibrated concentrations of a subset of VOCs. The sensor also measures temperature, relative humidity, pressure, and wind direction and speed. The SPODs were used to trigger the collection of whole air samples during periods with higher concentrations of VOCs. Air samples from the triggered canisters were analyzed at CSU using Gas Chromatography (GC) to provide a measure of approximately 50 VOCs. An integrated canister was used to measure the average concentration of approximately 50 VOCs over a one-week period. After collection, sample air in the canisters was analyzed at CSU using Gas Chromatography (GC).
DOI: 10.25675/10217/234030
title: Dataset associated with "Visions of the Arctic Future: Blending Computational Text Analysis And Structured Futuring to Create Story-based Scenarios"

description: Metadata for the articles appearing in the literature corpus, corresponding to the table in the manuscript entitled: 'Table S1: Visions of the Arctic Future - Metadata for Arctic news corpus'.
description: The future of Arctic social systems and natural environments is highly uncertain. Climate change will lead to unprecedented phenomena in the pan-Arctic region, such as regular shipping traffic through the Arctic Ocean, urban growth, military activity, expanding agricultural frontiers, and transformed indigenous societies.While intergovernmental to local organizations have produced numerous synthesis-based visions of the future, a challenge in any scenario exercise is capturing the possibility space of change. In this work, we employ a computational text analysis to objectively generate unique thematic input for novel, story-based visions of the Arctic. Specifically, we develop a corpus of more than 2,000 articles in publicly accessible, English-language Arctic newspapers that discuss the future in the Arctic. We then perform a latent Dirichlet allocation, resulting in ten distinct topics and sets of associated keywords. From these topics and keywords, we design ten story-based scenarios employing the Mānoa mashup, science fiction prototyping, and other methods. Our results demonstrate that computational text analysis can feed directly into a creative futuring process, whereby the output stories can be traced clearly back to the objectively identified topics and keywords. We discuss our findings in the context of the broader field of Arctic scenarios, and show that the results of this computational text analysis produce complementary stories to the existing scenario literature. We conclude that story-based scenarios can provide vital texture toward understanding the myriad possible Arctic futures.
DOI: 10.25675/10217/234377
title: Pingree Park Meteorological Data, 1977-1978

description: This dataset contains precipitation data for September, October, and November of 1977 at Pingree Park and Quigley Mountain. The dataset also includes Pingree Park Meteorological Data for 1978.
DOI: 10.25675/10217/173651
title: Stem level fall current annual growth on experimental plots in Yellowstone's Northern Range, 2002-2015

description: Zip file includes: data; metadata files with metadata for column fields.
description: Data file and metadata sheet for column fields.
DOI: 10.25675/10217/168427
title: Associations between Escherichia coli isolate antimicrobial resistance and antimicrobial usage

description: Primary contact: Paul S. Morley (Paul.Morley@colostate.edu).
description: Cattle Enrolled in Study: September 2007-January 2010.
description: Escherichia coli was isolated from the feces of beef cattle from four commercial feedlots in Alberta, Canada. A total of 2,725 isolates were collected from 923 individuals. Antibiotic susceptibility of these isolates to 19 different antimicrobial drugs was determined by broth microdilution and/or disk diffusion assay. Antimicrobial use data was recorded for each feedlot, and associations between antimicrobial resistance and antimicrobial use were determined (see Table 5 in associated publication). Antimicrobial resistance and usage data used to determine associations are reported in this database.
DOI: 10.25675/10217/181242
title: Supporting data for the manuscript "Ice nucleating particle emissions from photochemically-aged diesel and biodiesel exhaust"

description: Immersion-mode ice-nucleating particle concentrations from an off-road diesel engine were measured with a Continuous Flow Diffusion Chamber (CFDC). Both petrodiesel and biodiesel were used, and the exhaust was aged up to 1.5 photochemically equivalent days. Total aerosol and refractory black carbon concentrations were determined in this study with a Scanning Mobility Particle Sizer (SMPS) and Single Particle Soot Photometer, respectively. The CFDC, SMPS, and SP2 data used in this study can be found in this archive.
DOI: 10.25675/10217/85629
title: SGS-LTER effects of water and nitrogen additions on plants in shortgrass ecosystems on the Central Plains Experimental Range, Nunn, Colorado, USA 1997-2011, ARS study number 143

description: The Short Grass Steppe site encompasses a large portion of the Colorado Piedmont Section of the western Great Plains. The extent is defined as the boundaries of the Central Plains Experimental Range (CPER). The CPER has a single ownership and landuse (livestock grazing). The PNG is characterized by a mosaic of ownership and land use. Ownership includes federal, state or private and land use consists of livestock grazing or row-crops. There are NGO conservation groups that exert influence over the area, particularly on federal lands.
description: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Repository (http://hdl.handle.net/10217/100254). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of this research is to evaluate the response of shortgrass ecosystems to additional water and nitrogen inputs at levels observed in Hayes, Kansas, as well as effects of elevated temperature. An experiment was conducted during the LTER project in which water, nitrogen, combined water and nitrogen were applied and warming cones were installed in ungrazed plots on the shortgrass steppe, just east of the field site headquarters. Nitrogen and water application levels are available in the zipped metadata file.
DOI: 10.25675/10217/201553
title: MOR2 household survey data

description: Those listed as authors substantially designed instruments and data collection protocols, directly supervised data collection and collected data, designed database, and oversaw data entry and quality checking.
description: Additional acknowledgements (people listed assisted with field data collection, data entry, and establishment of on-line data archive): The following individuals helped with data collection or data entry in Mongolia: Amanguli, Ariuntuya, Azjargal J., Battuul B., Enkhmunkh B., Erdenechimeg B., Gantsetseg A., Narantuya N., Nomin-Erdene B., Odgarav J., Pagmajav D., Solongo Ts., Tamir L., Unurzul A., Uuganbayar B., Vandandorj S. The following individuals guided establishment of on-line data archive at Colorado State University: Tobin Magle, Mara Sedlins, Daniel Draper.
description: Household level social data were collected from 706 households.
DOI: 10.25675/10217/167285
title: Improved estimation of the radius of gyration from small-angle x-ray scattering data

description: Small-angle X-ray scattering (SAXS) is an experimentally simple technique that provides access to low-resolution information about biological macromolecules in solution. We here provide R code and example data sets for a new algorithm that produces accurate and precise values for the radius of gyration, Rg, of a particle. Theory states that the information derived from the lowest scattering angles can be used to estimate Rg. The value Rg is a fundamental structural parameter that is related to a molecule's size and shape. The original algorithm implemented with the R code estimates Rg with a reliable variance estimate and with higher precision than the classical method. A bias-variance criterion is minimized to determine the optimal number of data points to calculate Rg. After accounting for correlation in the data, least squares regression is used to estimate the radius of gyration and an accurate variance estimate. The software also supports the use of replicate data. Use of the code and examples is described in README.pdf.
DOI: 10.25675/10217/189738
title: Dataset for "Outperforming yet undervalued: undergraduate women in STEM"

description: Undergraduate students' academic performance and perceptions of classmates.
description: The dataset consists of a single (.csv) data file containing anonymous student data for 2793 students. Variables are defined below and in the accompanying codebook. This data is reported in the manuscript: "Outperforming yet undervalued: Undergraduate women in STEM." There are 3 total files included in this database: 1. This README file which gives an overview of the data 2. The data file (.csv file) 3. The codebook, which describes each variable in the data file, coding values, and additional information on each measure.
description: Gender diversity is critically needed in many science fields, but women continue to encounter beliefs that they lack ability and talent. Undergraduate education is a critical time when peer influence may alter choice of majors and careers for women interested in science. Even in life science courses, where women outnumber men, peer-to-peer interactions could detract from women's success and interest. We find that women are outperforming their male classmates in both physical and life science courses, but men continue to be perceived as equal or better students. This is problematic because it suggests that undergraduate women cannot escape gender-ability stereotypes even when they are more capable than men, and has important implications for the recognition of women's achievements among their peers in undergraduate education.
DOI: 10.25675/10217/219459
title: Dataset associated with "Particle Size Distribution Dynamics Can Help Constrain the Phase State of Secondary Organic Aerosol"

description: This dataset contains all data used to make the figures and the code of the SOM-TOMAS model.
description: Particle phase state is a property of atmospheric aerosols that has important implications for the formation, evolution, and gas/particle partitioning of secondary organic aerosol (SOA). In this work, we use a size-resolved chemistry and microphysics model (SOM-TOMAS), updated to include an explicit treatment of particle phase state, to constrain the bulk diffusion coefficient (Db) of SOA produced from alpha-pinene ozonolysis. By leveraging data from laboratory experiments performed in the absence of a seed and under dry conditions, we find that the Db for SOA can be constrained (1-5 ×10^-15 cm^2 s^-1 in these experiments) by simultaneously reproducing the time-varying SOA mass concentrations and the evolution of the particle size distribution. Another version of our model that used the predicted SOA composition to calculate the glass transition temperature, viscosity, and, ultimately, Db (~10-15 cm^2 s^-1) of the SOA was able to reproduce the mass and size distribution measurements when we included oligomer formation (oligomers accounted for about a fifth of the SOA mass). Our work highlights the potential of a size-resolved SOA model to constrain the particle phase state of SOA by utilizing historical measurements of the evolution of the particle size distribution.
DOI: 10.25675/10217/234037
title: Dataset associated with "Controls on the Development and Circulation of Terminal versus Transient Congestus Clouds and Implications for Midlevel Aerosol Transport"

description: These data represent the model namelist and source codes used to generate idealized large eddy simulations of congestus clouds using the Regional Atmospheric Modeling System (RAMS) version 6.3.02.
description: Cumulus congestus is the middle mode of tropical convection, with cloud tops typically around or exceeding the 0ºC freezing level (~5km AGL). While some congestus are terminal, meaning they are capped by the freezing level inversion, others are transient and may develop into deep convection. Although this distinction impacts convective transport into the mid-troposphere and the congestus-to-deep convection transition, little is understood about what determines whether a congestus overshoots the freezing level. We simulate a field of tropical congestus using high-resolution idealized model simulations, identify and track the updrafts, and composite congestus properties. Congestus updrafts are characterized by a similar overturning circulation between the updraft and its surrounding subsiding shell. However, transient congestus have stronger updrafts, and the downward branch of their corresponding circulations are found to be constrained by the freezing level inversion. The balance between buoyancy and perturbation pressure gradient accelerations is shown to determine the shape of the vertical velocity profile, though horizontal advection also impacts the magnitude of vertical velocity especially for mature transient congestus. Previous studies have focused on buoyancy as a control on congestus height, but we find that perturbation pressure gradient accelerations are equally important in allowing congestus to overshoot the freezing level. Finally, we explore how congestus updrafts influence their near environment: terminal congestus regenerate more aerosol through evaporation along their edges, while transient congestus create stronger detrainment layers of aerosol and water vapor in the midlevels due to regenerated aerosol being trapped above the freezing level stable layer.
DOI: 10.25675/10217/191136
title: Model data associated with manuscript, "Source regions contributing to excess reactive nitrogen deposition in the greater Yellowstone area (GYA) of the United States"

description: We provide the CAMx simulation data related with the nitrogen deposition source apportionment results over the Greater Yellowstone Area.
description: Research has shown that excess reactive nitrogen (Nr) deposition in the Greater Yellowstone Area (GYA) of the United States has passed critical load (CL) thresholds and is adversely affecting sensitive ecosystems in this area. To better understand the sources causing excess Nr deposition, the Comprehensive Air Quality Model with extensions (CAMx), using Western Air Quality Study (WAQS) emission and meteorology inputs, was used to simulate Nr deposition in the GYA. CAMx's Particulate Source Apportionment Technology (PSAT) was employed to estimate contributions from agriculture (AG), oil and gas (OG), fire (Fire), and other (Other) source sectors from 27 regions, including the model boundary conditions (BC) to the simulated Nr for 2011. The BC were outside the conterminous United States and thought to represent international anthropogenic and natural contributions. Emissions from the AG and Other source sectors are predominantly from reduced N and oxidized N compounds, respectively. The model evaluation revealed a systematic underestimation in ammonia (NH3) concentrations by 65% and overestimation in nitric acid concentrations by 108%. The measured inorganic N wet deposition at National Trend Network sites in the GYA was overestimated by 31–49%, due at least partially to an overestimation of precipitation. These uncertainties appear to result in an overestimation of distant source regions including California and BC and an underestimation of closer agricultural source regions including the Snake River valley. Due to these large uncertainties the relative contributions from the modelled sources and their general patterns are the most reliable results. Source apportionment results showed that the AG sector was the single largest contributor to the GYA total Nr deposition, contributing 34% on an annual basis. Seventy-four percent of the AG contributions originated from the Idaho Snake River valley, with Wyoming, California, and northern Utah contributing another 7%, 5%, and 4%, respectively. Contributions from the OG sector were small at about 1% over the GYA, except in the southern Wind River Mountain Range during winter where they accounted for more than 10%, with 46% of these contributions coming from OG activities in Wyoming. Wild and prescribed fires contributed 18% of the total Nr deposition, with fires within the GYA having the highest impact. The Other source category was the largest winter contributor (44%) with high contributions from California, Wyoming and northern Utah.
DOI: 10.25675/10217/173653
title: Shoot level fall current annual growth on experimental plots in Yellowstone's Northern Range, 2002-2015

description: Zip file includes: data; metadata files with metadata for column fields.
description: Data file and metadata sheet for column fields.