cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/179374
title: Evaluation of plant root distributions in two cover types (shell disposal trenches and integrated cover system) and natural grassland at Rocky Mountain Arsenal

description: This folder contains the final report and presentation PDF files for a project to evaluate plant root distributions in two cover types (Shell Disposal Trenches and Integrated Cover System) and natural grassland at Rocky Mountain Arsenal. Raw image files of roots from different depths (tiff format) and data generated from these images (tsv format) are available upon request from Cini Brown (Cynthia.S.Brown@ColoState.EDU).
DOI: 10.5281/zenodo.3457864
title: Data for the publication "Future warming exacerbated by aged soot effect on cloud formation"

description: This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: Future warming exacerbated by aged soot effect on cloud formation. <em>Nat. Geosci.</em> <strong>13, </strong>674–680 (2020). https://doi.org/10.1038/s41561-020-0631-0" Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878) Also note that Extended Data Fig. 1 is identical to Supplementary Fig. S4 as well as that Extended Data Table 1 is identical to Supplementary Table S2.
DOI: 10.25675/10217/87165
title: SGS-LTER GIS layer with detailed information on meteorological stations on Central Plains Experimental Range, Nunn, Colorado, USA 2012

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.
DOI: 10.25675/10217/173657
title: Plant level fall current annual growth and height on observation plots in Yellowstone's Northern Range, 2008-2015

description: Data file and metadata sheet for column fields.
DOI: 10.25675/10217/201554
title: MOR2 hydro meteorological data

description: This data set is an archive of monthly precipitation, maximum temperature, minimum temperature, mean monthly streamflow, and median monthly streamflow data for selected stations in the Khangai Mountain region.
DOI: 10.25675/10217/230405
title: Dataset for "De-unionization and the wages of essential workers"

description: The data used for this analysis are from the US Census Bureau's Current Population Survey, specifically the merged outgoing rotation groups. The sample is restricted to full-time civilian wage earners between the ages of 25 and 59 who are not self-employed. People who are not working or who report earning less than $1 per hour in 1979 dollars are excluded from the sample. A list of essential industries was derived from a Department of Homeland Security memorandum, "Guidance on the Essential Critical Infrastructure Workforce: Ensuring Community and National Resilience in COVID-19 Response," as interpreted by a Brookings Institution report, "How to protect essential workers during COVID-19." The list was modified as described in the paper and two definitions of "essential" are used, one narrow (essential (1)) and the other broad (essential (2)).
description: A definition of essential industries based on recent federal government guidelines is used to trace out the trajectory of wages for essential and nonessential sectors over time in the United States. This retrospective approach is justified by the fact that the included industries provide goods and services that are essential to health and safety whether or not emergency conditions exist. Union density has been consistently higher in essential industries, but the percentage of nonunionized workers has also increased more rapidly in those industries. The data show that real wages in essential industries have declined relative to nonessential industries since 1983 and that essential industries have consistently had lower levels of wage inequality than their nonessential counterparts. Regression analyses suggest that uneven de-unionization can explain part of the decline in relative wages. Furthermore, higher rates of union coverage in essential industries likely contribute to their comparatively low levels of wage inequality.
DOI: 10.25675/10217/170618
title: An event-related potential study on the effects of Cannabis on emotion processing-data

description: The data represents three sets of analysis reported in the manuscript.
DOI: 10.25675/10217/171382
title: Manuscript supporting data for The increasing importance of reduced nitrogen deposition in the United States

description: Rapid development of agriculture and fossil fuel combustion greatly increased US reactive nitrogen emissions to the atmosphere in the second half of the 20th century, resulting in excess nitrogen deposition to natural ecosystems. Recent efforts to lower nitrogen oxides emissions have substantially decreased nitrate wet deposition. Levels of wet ammonium deposition, by contrast, have increased in many regions. Together these changes have altered the balance between oxidized and reduced nitrogen deposition. Across most of the United States, wet deposition has transitioned from being nitrate-dominated in the 1980s to ammonium-dominated in recent years. Ammonia has historically not been routinely measured because there are no specific regulatory requirements for its measurement. Recent expansion in ammonia observations, however, along with ongoing measurements of nitric acid and fine particle ammonium and nitrate, permit new insight into the balance of oxidized and reduced nitrogen in the total (wet + dry) US nitrogen deposition budget. Observations from 37 sites reveal that reduced nitrogen contributes, on average, ∼65% of the total inorganic nitrogen deposition budget. Dry deposition of ammonia plays an especially key role in nitrogen deposition, contributing from 19% to 65% in different regions. Future progress toward reducing US nitrogen deposition will be increasingly difficult without a reduction in ammonia emissions.
DOI: 10.25675/10217/204914
title: Dataset associated with "The role of the C2A domain of synaptotagmin 1 in asynchronous neurotransmitter release"

description: This dataset includes all raw data for experiments included in the manuscript. It also includes raw, unedited microscopy and blot images.
description: Following nerve stimulation, there are two distinct phases of Ca2+-dependent neurotransmitter release: a fast, synchronous release phase, and a prolonged, asynchronous release phase. Each of these phases is tightly regulated and mediated by distinct mechanisms. Synaptotagmin 1 is the major Ca2+ sensor that triggers fast, synchronous neurotransmitter release upon Ca2+ binding by its C2A and C2B domains. It has also been implicated in the inhibition of asynchronous neurotransmitter release, as blocking Ca2+ binding by the C2A domain of synaptotagmin 1 results in increased asynchronous release. However, the mutation used to block Ca2+ binding in the previous experiments (aspartate to asparagine mutations, sytD-N) had the unintended side effect of mimicking Ca2+ binding, raising the possibility that the increase in asynchronous release was directly caused by ostensibly constitutive Ca2+ binding. Thus, rather than modulating an asynchronous sensor, sytD-N may be mimicking one. To directly test this C2A inhibition hypothesis, we utilized an alternate C2A mutation that we designed to block Ca2+ binding without mimicking it (an aspartate to glutamate mutation, sytD-E). Analysis of both the original sytD-N mutation and our alternate sytD-E mutation at the Drosophila neuromuscular junction showed differential effects on asynchronous release, as well as on synchronous release and the frequency of spontaneous release. Importantly, we found that asynchronous release is not increased in the sytD-E mutant. Thus, our work provides new mechanistic insight into synaptotagmin 1 function during Ca2+-evoked synaptic transmission and demonstrates that Ca2+ binding by the C2A domain of synaptotagmin 1 does not inhibit asynchronous neurotransmitter release in vivo.
DOI: 10.25919/gcqa-ga71
title: Parkes observations for project PX500 semester 2023APRS_10

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.25675/10217/235392
title: GREMLIN CONUS2 Dataset

description: This is the dataset used to train and test the GREMLIN Version-1 model in Hilburn et al. (2021). It consists of GOES-16 ABI, GOES-16 GLM, and MRMS data resampled to the 3 km HRRR grid and matched in time. The samples consist of 256 x 256 pixel images covering severe storms for 6-hour periods with 15-minute refresh over a 92 day period. The time period runs from 2019-04-18 to 2019-07-18. The spatial coverage is eastern CONUS ranging from 29.577 to 48.002 degrees_north latitude and -106.766 to -75.184 degrees_east longitude.
description: The objective of this research is to develop techniques for assimilating GOES-R series observations in precipitating scenes for the purpose of improving short-term convective-scale forecasts of high-impact weather hazards. Whereas one approach is radiance assimilation, the information content of GOES-R radiances from its Advanced Baseline Imager saturates in precipitating scenes, and radiance assimilation does not make use of lightning observations from the GOES Lightning Mapper. Here, a convolutional neural network (CNN) is developed to transform GOES-R radiances and lightning into synthetic radar reflectivity fields to make use of existing radar assimilation techniques. We find that the ability of CNNs to utilize spatial context is essential for this application and offers breakthrough improvement in skill compared to traditional pixel-by-pixel based approaches. To understand the improved performance, we use a novel analysis method that combines several techniques, each providing different insights into the network’s reasoning. Channel-withholding experiments and spatial information–withholding experiments are used to show that the CNN achieves skill at high reflectivity values from the information content in radiance gradients and the presence of lightning. The attribution method, layerwise relevance propagation, demonstrates that the CNN uses radiance and lightning information synergistically, where lightning helps the CNN focus on which neighboring locations are most important. Synthetic inputs are used to quantify the sensitivity to radiance gradients, showing that sharper gradients produce a stronger response in predicted reflectivity. Lightning observations are found to be uniquely valuable for their ability to pinpoint locations of strong radar echoes.
DOI: 10.25675/10217/233963
title: Namelists associated with "A Linear Relationship Between Vertical Velocity and Condensation Processes in Deep Convection"

description: This dataset contains a collection of namelists describing the setups of the various model simulations analyzed for the associated publication, "A Linear Relationship Between Vertical Velocity and Condensation Processes in Deep Convection."
description: Vertical velocities and microphysical processes within deep convection are intricately linked, having wide-ranging impacts on water and mass vertical transport, severe weather, extreme precipitation, and the global circulation. The goal of this research is to investigate the functional form of the relationship between vertical velocity, w, and microphysical processes that convert water vapor into condensed water, M, in deep convection. We examine an ensemble of high-resolution simulations spanning a range of tropical and midlatitude environments, a variety of convective organizational modes, and different model platforms and microphysics schemes. The results demonstrate that the relationship between w and M is robustly linear, with the slope of the linear fit being primarily a function of temperature and secondarily a function of supersaturation. The R2 of the linear fit is generally above 0.6 except near the freezing and homogeneous freezing levels. The linear fit is examined both as a function of local in-cloud temperature and environmental temperature. The results for in-cloud temperature are more consistent across the simulation suite, although environmental temperatures are more useful when considering potential observational applications. The linear relationship between w and M is substituted into the condensate tendency equation and rearranged to form a diagnostic equation for w. The performance of the diagnostic equation is tested in several simulations, and it is found to diagnose w to within 1 m s-1 throughout the upper half of the cloud depths. Potential applications of the linear relationship between w and M and the diagnostic w equation are discussed.
DOI: 10.25675/10217/87150
title: SGS-LTER GIS layer with detailed information on IBP vegetation on Central Plains Experimental Range, Nunn, Colorado, USA 2012

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.
DOI: 10.25675/10217/235396
title: Dataset associated with “Aufeis as a Major Forcing Mechanism for Channel Avulsion and Implications of Warming Climate”

description: The dataset is a comma separated values (CSV) file that contains the basic data used in analyses (river name, reach number, latitude and longitude of each measurement site, drainage area in km2 at each measurement site, and indication of presence/absence of persistent aufeis accumulation).
description: Prompted by field observation of an aufeis-induced channel avulsion along the Hula Hula River in June 2021, we use measurements of channel migration zone width along 15 rivers flowing north across the Arctic coastal plain in Alaska, USA. We differentiated sites with aufeis that covered &gt; 1 km2 in early summer during the period 2017-2021 from sites without such aufeis formation. All but 4 of the 28 sites with aufeis have widths greater than the 95% confidence interval and 20 sites fall outside of the 95% prediction interval for channel width based on drainage area. Pairwise comparison indicates that the population of aufeis sites have significantly wider channel migration zones (p &lt; 0.0001) than non-aufeis sites after accounting for drainage area. Seasonal aufeis facilitates lateral channel migration and associated heterogeneity. Loss of aufeis under warming climate may reduce habitat diversity in these river corridors.
DOI: 10.25675/10217/236268
title: Dataset associated with the Colorado Agriculture Bibliography NEH & USAIN Project

description: The Colorado Agriculture Bibliography of Primary and Secondary Material Published 1820-1945 was part of a NEH grant project with research conducted 2004-2007. The dataset includes bibliographic information (i.e. title, author, format-book, photograph archival collection, subject headings, etc.) for about 16,000 records about Colorado’s agricultural and rural past. Some items were later digitized and placed in the CSU Library digital repository (see: https://archives.mountainscholar.org/digital/collection/p17393coll63). Items with a link (URL/permlink) are available as full-text. The topics covered in this project are varied but include agriculture, education, water, mining, tourism, recreation, and more. The bibliography contains information about but not full-text for books, journals, dissertations, theses, archival collections, maps, photos, pamphlets, and more. The Web site and bibliography reflects Colorado’s contribution to the Preserving the History of United States Agriculture and Rural Life Project. This nation-wide effort aims to identify and preserve state and locally significant literature. The project involves the National Endowment for the Humanities (NEH), Cornell University, the United States Agricultural Information Network (USAIN), the National Agricultural Library (NAL), and other land-grant universities.
description: As family farms disappear from the landscape, most Americans do not have contact with the agricultural roots of the country. More than ever, the historical literature that helps in telling the story of American farming needs protection. The Preserving the History of United States Agriculture and Rural Life Project, administered by Cornell University, calls for states to identify and list important agricultural literature for preservation purposes. This paper discusses the Colorado project and highlights the scope and identification of materials and the organization of a Web-searchable bibliographic database. Because Colorado began to participate after approximately half of the states had completed bibliographies, staff could access already-tested methodologies for scope descriptions, subject headings, and other "how-to" processes. By using the lessons learned by others, staff were able to expand the scope, capture extra records, and design a nuanced Web site as a portal to the bibliography.
DOI: 10.25675/10217/192332
title: Dataset associated with "Role modeling is a viable retention strategy for undergraduate women in the geosciences"

description: Comma separated values data file contains survey data on the demographic characteristics, measures of group assignment (PROGRESS or control), role models, and measures of holding a geoscience-related major for study participants (n=380). These data were collected between 2015 / 2016 (time at which participants were recruited into the study) and 2017 (date of follow-up survey). Data are provided here for the purpose of making data reported in the journal article "Role Modeling is a Viable Retention Strategy for Undergraduate Women in the Geosciences," open and publicly accessible for posterity and potential use in future scientific study – such as meta-analysis.
description: Gender diversity leads to better science; however, a number of STEM disciplines, including many geoscience sub-disciplines show a persistent gender gap. PROmoting Geoscience Research, Education, and SuccesS (PROGRESS) is a theory-driven role modeling and mentoring program aimed at supporting undergraduate women interested in geoscience-related degree and career pathways. This study is unique because it is being conducted in a long-term applied setting, rather than as a laboratory exercise. We compare female STEM majors in PROGRESS to a matched control group (N = 380) using a longitudinal prospective multi-site quasi-experimental design. College women in PROGRESS participated in a mentoring and role modeling weekend workshop with follow-up support, while women in the control group participated in neither the workshop nor the follow-up support. PROGRESS members identified more female STEM career role models than controls (60% vs. 42%, respectively), suggesting that deliberate interventions can develop the networks of undergraduate women. Undergraduate women that participate in PROGRESS have higher rates of persistence in geoscience-related majors (95% vs. 73%), although the rates of switching into a geoscience-related major did not differ across groups. More strikingly, we also find that the persistence of undergraduate women in geoscience-related majors is related to the number of female STEM career role models they identify, as their odds of persisting approximately doubles for each role model they identify. We conclude that our ability to retain undergraduate women in the geosciences will depend, in part, on helping them to identify same-gender career role models. Further, the success of PROGRESS points to steps universities and departments can take to sustain their students' interest and persistence, such as hosting interactive panels with diverse female scientists to promote the attainability and social relevance of geoscience careers.