cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25675/10217/87157
title: SGS-LTER GIS layer with detailed information on lakes 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: 10.25675/10217/216180
title: Dataset associated with “Genomic‐based epidemiology reveals independent origins and gene flow of glyphosate resistance in Bassia scoparia populations across North America"

description: The dataset contains SSR marker data for the purpose of measuring population structure and relatedness among populations of Bassica scoparia (kochia) from across the western USA and Canada, collected from 2007-2015. The dataset also contains scripts to run the analyses described in the publication.
description: Genomic-based epidemiology can provide insight into the origins and spread of herbicide resistance mechanisms in weeds. We used kochia (Bassia scoparia) populations resistant to the herbicide glyphosate from across western North America to test the alternative hypotheses that 1) a single EPSPS gene duplication event occurred initially in the Central Great Plains and then subsequently spread to all other geographical areas now exhibiting glyphosate-resistant kochia populations or that 2) gene duplication occurred multiple times in independent events in a case of parallel evolution. We used qPCR markers previously developed for measuring the structure of the EPSPS tandem duplication to investigate whether all glyphosate-resistant individuals had the same EPSPS repeat structure. We also investigated population structure using simple sequence repeat (SSR) markers to determine the relatedness of kochia populations from across the Central Great Plains, Northern Plains, and the Pacific Northwest. We found that the original EPSPS duplication genotype was predominant in the Central Great Plains where glyphosate resistance was first reported. We identified two additional EPSPS-duplication genotypes, one having geographic associations with the Northern Plains and the other to the Pacific Northwest. The EPSPS duplication genotype from the Pacific Northwest seems likely to represent a second, independent evolutionary origin of a resistance allele. We found evidence of gene flow across populations and a general lack of population structure. The results support at least two independent evolutionary origins of glyphosate resistance in kochia, followed by substantial and mostly geographically localized gene flow to spread the resistance alleles into diverse genetic backgrounds.
DOI: 10.25592/uhhfdm.11755
title: Vision-Lanuguage Mini Testset (VL-Mini-Test)

description: A minimal test dataset of 100 images and 12 textual queries for vision-language models, dedicated to the task of text-based image retrieval, and constructed from the following sources: - 50 images from the DocExplore dataset of medieval manuscripts. - 50 images from two manuscripts from Al-Ḥarīrī, <em>Maqāmāt</em>, © Paris, Bibliothèque nationale de France. Département des manuscrits, namely MS arabe 3929 and MS arabe 5847. The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.11754
title: Vision-Lanuguage Mini Testset (VL-Mini-Test)

description: A minimal test dataset of 100 images and 12 textual queries for vision-language models, dedicated to the task of text-based image retrieval, and constructed from the following sources: - 50 images from the DocExplore dataset of medieval manuscripts. - 50 images from two manuscripts from Al-Ḥarīrī, <em>Maqāmāt</em>, © Paris, Bibliothèque nationale de France. Département des manuscrits, namely MS arabe 3929 and MS arabe 5847. The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25675/10217/234658
title: Dataset associated with 'Atmospheric radiative and oceanic biological productivity responses to increasing anthropogenic-combustion iron emission in the 1850-2010 period'

description: This dataset contains emission, deposition, and radiative fields to calculate Direct Radiative Forcing and Net Primary Productivity effects of anthropogenic iron emissions
description: Anthropogenic emission is an important component of the present-day iron cycle yet its long-term impacts on climate are poorly understood. Iron mineralogy strongly affects its radiative and oceanic interactions and was unrepresented in previous studies. We perform simulations using a mineralogy-based inventory and an atmospheric transport model and estimate the 1850–2010 global mean direct radiative forcing (DRF) to be +0.02 to +0.10 W/m2. We estimate that the CO2 sequestration of 0.2–13 ppmv over the last 150 years due to enhanced phytoplankton productivity by anthropogenic iron deposition causes an avoided CO2 forcing of −0.002 to −0.16 W/m2. While globally small, these impacts can be higher in specific regions; the anthropogenic DRF is +0.5 W/m2 over areas with more coal combustion and metal smelting, and anthropogenic soluble iron sustains &gt;10% of marine net primary productivity in the high-latitude North Pacific Ocean, a region vulnerable to stratification due to climate change.
DOI: 10.25675/10217/172976
title: Great Slave Lake oblique aerial photographs

description: This project aims to qualitatively describe and quantitatively estimate volumes of driftwood that are exported to the Arctic Ocean through the Mackenzie River Basin in northern Canada. Work from this project has been featured in a National Geographic blog (http://voices.nationalgeographic.com/2015/08/25/stunning-ways-driftwood-builds-landscapes/) Questions and inquiries about this project can be sent to Natalie Kramer (n.kramer.anderson@gmail.com). A promotional video of this research can be viewed here (http://hdl.handle.net/10217/172978).
description: The impacts of large amounts of driftwood on waterscapes - ecological and physical - are absolutely stunning both in scale and in aesthetics. In rivers draining the mostly undammed Mackenzie basin in Canada, landscape features associated with wood are abundant and reflect conditions that were likely more common in northern latitudes world-wide for the last 10,000 years up to about 200 years ago. As the world's last free flowing rivers are rapidly dammed for hydropower, we seek (eventually) to answer: how will diminishing transport of driftwood impact the biodiversity of river corridors and marine environments? How much more at risk are wood depleted coastlines from erosion associated with sea level rise and extreme weather? And, what impact will wood depletion have on freshwater and marine fisheries?
description: This data group includes photographs taken from a fixed wing float plane that circumnavigated the Great Slave Lake on August 29, 2014. Photos were taken from three different cameras and hand held Nikon DSLR, A contour 2+ action camera mounted on the wing of the aircraft that took photos every 3 seconds and a GoPro Here 2+ wide angle action camera mounted in the window that took photos every 5 seconds. A thorough description of the flight path is provided in the Chapter 3 Appendix of Natalie Kramer's dissertation (link here) and in the supplemental information file (http://onlinelibrary.wiley.com/store/10.1002/2015GL064441/asset/supinfo/grl53108-sup-0001-supinfo.pdf?v=1&s=cf49c667327ff359ceef30f75a646bd442d1facc) for GRL article "Driftcretions: The legacy impact of driftwood on the landscape" (http://dx.doi.org/10.1002/2015GL064441). The Allphotoloc.zip file contains location coordinates in a GIS shapefile and KMZ file for each photo in the provided folders.
DOI: 10.25675/10217/173659
title: Shoot level fall current annual growth on observation plots in Yellowstone's Northern Range, 2008-2015

description: Data file and metadata sheet for column fields.
DOI: 10.25675/10217/86341
title: Data from problem/project-based learning in statics

description: Research Initiation Grant: Problem/Project-Based Learning in Statics, a Stepping Stone to Engineering Education Research.
description: This data package was produced by researchers working on the Problem/Project-Based Learning in Statics project.
DOI: 10.25675/10217/235754
title: MODIS Monthly Fog and Low Cloud Cover Rasters 2000-2022

description: Fog and low cloud cover (FLCC) provide critical moisture for ecosystems along the Pacific Coast during the summer months and it is currently un- clear how climate change has affected FLCC occurrence. Additionally, FLCC impacts visibility and transportation safety for both road and air traffic. As such, a method for the monitoring of FLCC is necessary to inform land management decisions for fog-obligate species and to improve transportation safety, among other applications. Several gaps exist in current FLCC detection methodologies and while the Moderate Resolution Spectroradiometer (MODIS) sensor has previously been used to detect fog, its utility has not been validated. In this study, we create a 20 year (2000–2020) FLCC dataset using the Terra MODIS cloud flags and examine its effectiveness in detecting daily and monthly FLCC presence along the California and southern Oregon coast for the summer months (June–September). We validate the accuracy of this method using an existing FLCC dataset derived from Geostationary Operational Environmental Satellite (GOES) observations collected at 15 min intervals from 2000 to 2009. The two FLCC datasets have a strong linear relationship for FLCC frequency for each summer month, with an average r2 of 0.82 and p-value of &lt;0.01. This strong relationship demonstrates the ability of Terra MODIS to reliably and accurately detect FLCC. Finally, we demonstrate a case study application of our FLCC dataset in a time series analysis over five coast redwood (Sequoia sempervirens) state parks in the Big Sur region of coastal California. This case study highlights the benefits provided by a 1 km resolution FLCC dataset for ecological applications and for monitoring spatiotemporal FLCC pat- terns across summer months over two decades. Our case study results showed that the number of foggy days fluctuates considerably year-to-year with no discernible positive or negative trend occurring between 2000 and 2020. Finally, we present a freely-accessible Google Earth Engine application to view and download the monthly FLCC data for all summer months for the years 2000–2020. The methods and dataset presented in this paper provide a means for efficient, daily FLCC monitoring at 1 km2 resolution, as well as the capacity for historical FLCC analyses.
description: The MODIS Monthly Fog and Low Cloud Cover Rasters 2000-2022 dataset contains fog and low cloud cover (FLCC) observations summarized into days per month along the California and Southern Oregon Coast from 2000-2022. This dataset accompanies the publication https://doi.org/10.1016/j.rsase.2022.100832, which describes the methodology for creating this dataset. The dataset can also be viewed through a Google Earth Engine web application https://christopherchoi98.users.earthengine.app/view/modis-fog-detection-app.
DOI: 10.25675/10217/233884
title: PM2.5 and AOD measurements from the Citizen Enabled Aerosol Measurements for Satellites (CEAMS) 2019 Denver deployment

description: This dataset includes PM2.5 and AOD measurements collected by the Aerosol Mass and Optical Depth (AMOD) sensors developed by the Citizen Enabled Aerosol Measurements for Satellites (CEAMS) team. Here we present data from the CEAMS deployment during the winter of 2019-2020 in Denver, CO, USA. Thirty-two participants were recruited from across Denver through collaboration with the Community Collaborative Rain, Hail and Snow (CoCoRaHS) citizen scientist network.
DOI: 10.25675/10217/87151
title: SGS-LTER GIS layer with detailed information on elevation Contours 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: 10.25675/10217/235434
title: Dataset associated with "An Improved Rescaling Algorithm for Estimating Groundwater Depletion Rates using the GRACE Satellite"

description: Data in Figures 2 to 4.
description: The Gravity Recovery And Climate Experiments (GRACE) satellite mission has been instrumental in estimating large-scale groundwater storage changes across the globe. GRACE observations include significant errors, so pre-processing is normally required before the data are used. In particular, the regional observations of terrestrial water storage anomalies (TWSA) are usually filtered to reduce the effects of measurement errors and then rescaled to reduce the unintended impacts of the filtering. The rescaling is typically selected to maximize the Nash-Sutcliffe Efficiency (NSE) between the rescaled filtered TWSA and original TWSA from large-scale hydrologic models that represent an incomplete water budget. The objectives of this study are (1) to evaluate the use of NSE in the current GRACE rescaling methodology, (2) develop an improved methodology that incorporates a complete regional water budget, and (3) examine the impacts of the rescaling methodology on regional assessments of groundwater depletion. To evaluate the use of NSE as a performance metric, we implement an analytical solution to improve the relative variability between the filtered and original TWSA series. Improved relative variability produces more reliable estimates when comparing the results to TWSA estimates from global positioning systems (GPS) for the Sacramento and San Joaquin River basins (containing Central Valley) in California. Rescaling with the complete regional water budget based on observed hydrological fluxes results in a larger scale factor (3.18) than the scale factor from the large-scale hydrologic model outputs (1.97), and the new TWSA results are more consistent with those from GPS. The larger scale factor also suggests that regional groundwater depletion is more severe than previously estimated.
DOI: 10.25675/10217/187763
title: Dataset for Geomorphology and climate interact to control organic carbon stock and age in mountain river valley bottoms

description: These data describe organic carbon stocks and ages in rivers and associated characteristics. These data were collected during 2016 and 2017, and support analyses described in the journal article listed below.
description: Organic carbon (OC) stored in dead vegetation and soil represents a massive and relatively sensitive pool of carbon whose distribution and residence time affects global climate. Mountain river basins can store large OC stocks. However, the distribution, magnitude, and residence time of OC stored in mountain river valley bottoms remain unquantified on broad scales, hampering understanding of how these regions contribute to terrestrial OC cycling. We compare four disparate mountain river basins to show that mountain river valley bottoms store substantial OC stocks in floodplain soil and downed wood that vary with valley bottom form and geomorphic processes. We quantify soil OC radiocarbon age to show that soil burial is essential to preserving old OC. Valley bottom morphology, soil retention, and vegetation dynamics determine partitioning of valley bottom OC between soil and wood, implying that modern biogeomorphic process and the legacy of past erosion regulate the modern distribution of OC in river networks. The age of the floodplain soil OC pool and the distribution of OC between wood and soil imply that mountain rivers are highly sensitive to alterations in soil and wood retention, which may have both short- and long-term feedbacks with the distribution of OC between the land and atmosphere.
DOI: 10.25675/10217/177696
title: Mid-continent methane emissions study
title: RPSEA project

description: In this first-of-its-kind Mid-Continent Methane Emissions Study, researchers from across the region, universities, government agencies, and industries joined forces determined to reconcile discrepancies between measurement methods in methane loss rates from onshore oil and gas developments in multiple basins. Seeking to bring public and private sectors better understanding of this issue, the combined resources of these groups resulted in weeks of field study and conclusive data. This team discovered that in other studies, top-down measurements reported much higher methane leak rates than bottom-up methods. Equipped with that knowledge this team used paired measurements from the same natural gas sources to determine the inconsistencies in measurement methods. The result of a field campaign, which happened over a five week period from late September to early October, 2015 is described in the study overview.
DOI: 10.25675/10217/180097
title: Calwater2 scanning flow CCN measurements at Bodega Bay Marine Laboratory

description: All valid data from the study is included in the "data" directory. Metadata with descriptions of file format is included in the "Metadata.txt" file. A README file provides an overview of these measurements, the Calwater2 study, and the calibration and use of this dataset.
description: Scanning flow CCN measurements were conducted at the Bodega Bay Marine Laboratory (BML) as part of the Calwater2 campaign.
DOI: 10.25675/10217/89321
title: Toolkits for feature extraction and characterization of network data

description: Zip file Data 1: GUI for Robust PCA recoverability experiments. The GUI provides the following functionalities: - Evaluate sufficient conditions for recovery over a selected range of ranks and sparsities, size, low-rank and sparse matrix types; - Recoverable region for a selected range fractional sparsities, size, low-rank and sparse matrix types; - Input - output mapping between fractional-ranks fractional-sparsities; - Recovery error of the low-rank component; - Recovery error of the sparse component.
description: Zip file Data 2: GUI for Robust Principal Component Analysis. The GUI performs Robust PCA on: - Synthesized low-rank and sparse matrix additions; - Data from external experiments.
description: Zip file Data 3: Random matrix generator. The software synthesizes random realizations of low-rank and sparse matrices of specified types. Synopsis: Input arguments: LS typ n frs reps fname LS: specify either low-rank or sparse. Use L or l to indicate low-rank matrices, and S or s to indicate sparse matrices. typ: indicates the type of the matrices. Types available for low-rank are: 1. First order Gaussian; 2. Second order Gaussian; 3. Wishart; 4. First order Vandermonde; 5. Second order Vandermonde; Type available for sparse matrices are: 1. Fixed; 2. Uniform; 3. Gaussian; n: size of the matrices. frs: fractional rank or fractional sparsity of the matrix. reps: number of realizations of the specified matrix. fname: base file name of the matrices. reps many files will be produced each containing a comma-delimited realization of the specified matrix. E.g.: If fname is testfile and reps is 3, then three output files with names testfile.1, testfile.2, and testfile.3 will be produced. Examples DOS: genRandMats-1.0.exe L 1 20 0.1 3 testfile Linux: ./run_genRandMatix_v01a.sh $MCR_DIRECTORY L 1 20 0.1 3 testfile.
description: Zip file Data 4: MATLAB® Toolkit for network traffic anomaly analysis. The toolkit performs: - De-trending and thresholding for anomaly detection; - Graph wavelet based summarizing and anomaly tracing; - Distribution fitting to spatial and temporal parameters; - Simulator/Emulator to regenerate statistically similar anomalies The toolkit is developed for Internet2 dataset, but customizable for other datasets.
description: Zip file Data 5: Source codes for Robust PCA experiments. MATLAB codes for Robust PCA related experiments. The codes generate random matrices and perform Robust PCA. The codes cover a range of decomposition and recovery experiments for RPCA.
description: Zip files 1-3 contain executable files; zip files 4-5 contain data and ReadMe files.
DOI: 10.25675/10217/179310
title: Bale Mountains forest tree demography data

description: These data are in four separate files each representing one forest location (i.e., Adelle, Demaro, Odo bulu, and Rira). Each file has the basal area factor prism value (20) used to collect the data as well as the number of prism plots collected at each specific location. Each record represents an individual tree. The columns in each worksheet include Date, Plot #, Subplot, tree #, and species. Date provides the date the data were collected, Plot# list the plot name of the tree measured. Subplot is one of the five subplots associated with each plot representing C (center), N(North), W (West), S(South), and E(East). Tree # lists tree number specific to each subplot. Species lists the species name as a two letter code representing the first two letters of the scientific name (include genus and species - see below). Finally, dhb (cm) includes the diameter at breast height for each tree species in centimeters.
description: Prism sampling data across the Bale Mountains, Ethiopia. These data are collected from four different forests: Adelle, Rira, Odo-Bulu and Demaro.