cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p99rngxh
title: Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017

description: These data describe tree mortality and the factors associated with tree mortality for a variety of plots in Sequoia National Park. Most of the data were collected between 2014 and 2017 (during an extremely severe drought), along with some comparison data from 2004 to 2007. These data support the following publication: Stephenson, N.L., Das, A.J., Ampersee, N.J., Bulaon, B.M., and Yee, J.L., In review. Which trees die during drought? The key role of insect host-tree selection, Journal of Ecology
DOI: 10.5066/p9a9la1o
title: Time to detection data for Point Reyes pond-breeding amphibians, 2017

description: Occupancy models provide a reliable method of estimating species distributions while accounting for imperfect detectability. The cost of accounting for false absences is that detection and nondetection surveys typically require repeated visits to a site or multiple-observer techniques. More efficient methods of collecting data to estimate detection probabilities would allow additional sites to be surveyed for the same amount of effort, which would support more precise estimation of covariate effects to improve inference about underlying ecological processes. Time-to-detection surveys allow the estimation of detection probability based on a single site visit by one observer, and therefore might be an efficient technique for herpetological occupancy studies. We evaluated the use of time-to-detection surveys to estimate the occupancy of pond-breeding amphibians at Point Reyes National Seashore, California, USA, including variables that affected detection rates and the probability of occurrence. We found that detection times were short enough, and occupancy was high enough, to reliably estimate the probability of occurrence of three pond-breeding amphibians at Point Reyes National Seashore, and that survey and site conditions had species-specific effects on detection rates. In particular, pond characteristics affected detection times of all commonly detected species. Probability of occurrence of Sierran Treefrogs (Hyliola sierra) and Rough-skinned Newts (Taricha granulosa) was negatively related to the detection of fish and pond area. Time-to-detection surveys can provide an efficient method for estimating detection probabilities and accounting for false absences in occupancy studies of reptiles and amphibians. These data support the following: Halstead, B. J., Kleeman, P. M., & Rose, J. P. (2018). Time-to-Detection Occupancy Modeling: An Efficient Method for Analyzing the Occurrence of Amphibians and Reptiles. Journal of Herpetology, 52(4), 416-425. https://doi.org/10.1670/18-049
DOI: 10.5066/p9cc5e8p
title: Environmental covariates at Mule deer locations within the Desert National Wildlife Refuge, Nevada, 2012-2014

description: This data describes the environmental covariates that are associated with nineteen Mule deer (Odocoileus hemionus) locations taken from 2012-2014 within the Desert National Wildlife Refuge of Nevada. These data support the following publication: Lowrey, C., Longshore, K.M., Choate, D.M., Nagol, J.R., Sexton, J. and Thompson, D., 2019. Ecological effects of fear: How spatiotemporal heterogeneity in predation risk influences mule deer access to forage in a sky?island system. Ecology and Evolution.
DOI: 10.5066/p9fv1x7h
title: Site table and bias corrections for Coastal Data Information Program (CDIP) hind casts at the California Channel Islands

description: We present correction coefficients for hourly wave height and period hind casts for 32 sites throughout the Channel Islands National Park and San Nicolas Island. Each site is described in terms of its location, orientation, and transect depth. To use this table, first generate a site-specific wave height and period hind cast using the California Coastal Data Information Program (CDIP) Monitoring and Prediction (MOP) System (https://cdip.ucsd.edu/documents/index/product_docs/mops/mop_intro.html).
DOI: 10.5066/p9gbdp8c
title: Variability of mercury concentrations among whole bird feathers, feather homogenates, and feather components quantified in California in 2017-2018

description: These data are the raw total mercury (THg) concentrations in whole feathers, feather homogenates, and feather components (i.e., rachis, vane, calamus) that are presented in the Journal Article "Mercury concentrations vary within and among individual bird feathers: A critical evaluation and guidelines for feather use in mercury monitoring programs" in Environmental Toxicology and Chemistry by Peterson et al.
DOI: 10.5066/p9gjfzht
title: LEAN-Corrected Collier County DEM for wetlands

description: Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from the original lidar DEM, masked by wetlands areas using polygons from the National Wetland Inventory dataset, and merged with the original lidar DEM. Only the area covered by the 2007 lidar was corrected; a piece of the inland area not covered by lidar was interpolated with the GPS survey data and merged with the corrected DEM. Lidar from 2017, which covers a narrow coastal strip, was also incorporated by first masking out the wetland areas and then mosaiking with the final DEM. Across all GPS points, mean initial lidar error was 34.3 cm (SD=28.2) and root-mean squared error (RMSE) was 44.5 cm. After correction with LEAN, mean error was 0 (SD=18.9) and RMSE was 18.9 cm, a 57.3 percent improvement in accuracy. References: Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.
DOI: 10.5066/p9gvhc4z
title: Feeding observations of intertidal black abalone at monitored sites around San Nicolas Island, California and local distribution of Macrocystis pyrifera based on surface canopy maps

description: The data set includes feeding observations of black abalone (Haliotis cracherodii) at long-term intertidal monitoring sites around San Nicolas Island, California from 1982 - 2019. This includes site locations, sites, date of observation, observed food items, and abalone shell length when available. Seasonal (spring and fall) GIS maps of giant kelp (Macrocystis pyrifera) canopy distributions from the waters surrounding San Nicolas Island in 1981-1992 are also provided. These data support the following publication: Vanblaricom, G.R. and Kenner, M.C., 2020. Dietary Patterns in Black Abalone Haliotis cracherodii Leach, 1814 as Indicated by Observation of Drift Algal and Seagrass Capture at San Nicolas Island, California, USA, 1982 to 2019. Journal of Shellfish Research, 39(1), pp.113-124.
DOI: 10.6084/m9.figshare.13487010.v1
title: Global characteristics and trends of research on laparoscopy-related fistula from 1991 to 2019:Based on bibliometric analysis combined with information visualization analysis

description: Global characteristics and trends of research on laparoscopy-related fistula from 1991 to 2019:Based on bibliometric analysis combined with information visualization analysis
DOI: 10.6084/m9.figshare.13487010
title: Global characteristics and trends of research on laparoscopy-related fistula from 1991 to 2019:Based on bibliometric analysis combined with information visualization analysis

description: Global characteristics and trends of research on laparoscopy-related fistula from 1991 to 2019:Based on bibliometric analysis combined with information visualization analysis
DOI: 10.5066/p9nqzxu3
title: LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019

description: Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites (Eastern Neck, Bishops Head, Martin, and Blackwater) in 2010 and 2017, Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (2013), a 1 m lidar DEM and a 1 m canopy surface model were used to generate models of predicted bias across the study domain. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM. Across all GPS points, mean initial lidar error was -1.0 centimeters (SD=12.8) and root-mean squared error (RMSE) was 12.8 centimeters. After correction with LEAN, mean error was 0 cm (SD=6.4) and RMSE was 6.4 cm, a 50 percent improvement in accuracy. References: Buffington, K.J., Dugger, B.D., Thorne, K.M. and Takekawa, J.Y., 2016. Statistical correction of lidar-derived digital elevation models with multispectral airborne imagery in tidal marshes. Remote Sensing of Environment, 186, pp.616-625.
DOI: 10.5066/p9nuanqu
title: Wetland Management Strategy to Reduce Mercury Export in Water and Bioaccumulation in Fish

description: Total mercury concentrations in western mosquitofish (Gambusia affinis) that were caged at specific locations within four control wetlands and four treatment wetlands for a 30-day exposure time period to test the effectiveness of wetland management strategy to reduce mercury contamination. Fish data only. Water data published in a separate data release by co-authors. These data support the following publication: Ackerman, J.T., Fleck, J.A., Eagles-Smith, C.A., Marvin-DiPasquale, M., Windham-Myers, L., Herzog, M.P. and McQuillen, H.L., 2019. Wetland Management Strategy to Reduce Mercury in Water and Bioaccumulation in Fish. Environmental toxicology and chemistry. https://doi.org/10.1002/etc.4535
DOI: 10.6084/m9.figshare.12904127
title: Test_Files

description: From the group of selected participant recordings (n=400), 200 were randomly allocated to the validation group using the random sampling function in R. The validation (test) group was used to validate DT prediction from
DOI: 10.5066/p9owncg8
title: Genotypes for six rare plant species found in San Diego County in 2016-2017

description: To understand the genetic structure of six rare plant species (Acanthomintha ilicifolia, Baccharis vanessae, Chloropyron maritimum ssp. maritimus, Deinandra conjugens, Dicranostegia orcuttiana, Monardella viminea), we obtained samples from known occurrences in San Diego County, prepared and sequenced ddRAD genomic libraries, and developed and analyzed a panel of genetic markers to assess population diversity and divergence. We provide this SNP genotype dataset in Structure format, produced in Stacks v2.0b8, for future monitoring efforts and population genetic analysis. These data support the following publication: Milano, E.R., and Vandergast, A.G., 2018, Population genomic surveys for six rare plant species in San Diego County, California: U.S. Geological Survey Open-File Report 2018-1175, 60 p., https://doi.org/10.3133/ofr20181175.
DOI: 10.5066/p9ozvgeg
title: Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017

description: This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey, J.A., Madden, M.C., Bloom, P.H., Katzner, T.E., and Fisher, R.N., 2018, Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California: U.S. Geological Survey Open-File Report 20181067, 13 p., https://doi.org/10.3133/ofr20181067 References: Tracey, J.A., Madden, M.C., Sebes, J.B., Bloom, P.H., Katzner, T.E., and Fisher, R.N. (2016) Biotelemetry data for golden eagles (Aquila chrysaetos) captured in coastal southern California, November 2014February 2016: U.S. Geological Survey Data Series 994, 32 p., http://dx.doi.org/10.3133/ds994. Tracey, J.A., Madden, M.C., Sebes, J.B., Bloom, P.H., Katzner, T.E., and Fisher, R.N. (2017) Biotelemetery data for golden eagles (Aquila chrysaetos) captured in coastal southern California, February 2016February 2017: U.S. Geological Survey Data Series 1051, 35 p., https://doi.org/10.3133/ds1051.
DOI: 10.5066/p9qs39z5
title: Feather mercury concentrations in North American raptors sampled at migration monitoring stations

description: We assessed total mercury concentrations in breast feathers of diurnal North American raptors collected at migration monitoring stations. We sampled raptor feathers from 9 species in the Pacific Flyway and compared species, sex, date, and flyway effects on mercury concentrations. We also explored year effects on 3 species of raptors in the Pacific Flyway during 13-years (2002-2014). Finally, we compared mercury concentrations in merlin among 4 continental flyways. These data support the following publication: Bourbour, R.P., Martinico, B.L., Ackerman, J.T. et al. Ecotoxicology (2019). https://doi.org/10.1007/s10646-019-02016-2
DOI: 10.5066/p9ro7usr
title: Demographic data for Hesperocyparis forbesii on Otay Mountain 2004-2017

description: This dataset contains demographic data pertaining to Hesperocyparis forbesii on Otay Mountain in San Diego County, California, USA, over a 14-year study period from 2004 to 2017 following the 2003 Otay/Mine Fire. Site variables including elevation, incline, and slope were collected as well as pre-fire tree density and stand age for 16 study site locations. Tree density, height, and cone production was then monitored over the study period with data collection occurring in 2004, 2005, 2009, 2011, 2014, and 2017. These data support the following publication: Brennan, T.J. & Keeley, J.E., 2019, Postfire population dynamics of a fire-dependent cypress, Plant Ecology, 220(6): 605. https://doi.org/10.1007/s11258-019-00939-8
DOI: 10.5066/p9s8vmm6
title: Mercury Contamination of Red-legged Kittiwakes in the Western Subarctic Pacific Ocean

description: This dataset contains mercury concentrations and locations of wintering red-legged kittiwakes in the western subartic Pacific Ocean. These data support the following publication: Fleishman, AB, RA Orben, N Kokubun, A Will, R Paredes, JT Ackerman, A Takahashi, AS Kitaysky, and SA Shaffer. 2019. Wintering in the Western Subarctic Pacific increases mercury contamination of red-legged kittiwakes. Environmental Science and Technology, in press.
DOI: 10.6084/m9.figshare.12904124
title: Train_Files

description: From the group of selected participant recordings (n=400), 200 were randomly allocated to the development (train) group using the random sampling function in R. The development group was used to optimize DT algorithm parameters values (<em>block length, threshold, </em><i>bedrest</i>-<em>start trigger, and bedrest-end trigger). </em>
DOI: 10.5281/zenodo.4379143
title: Lago Lucchetti Watershed-Landslide & misc dataset

description: Dataset supporting: "Sediment mobilization by hurricane-driven shallow landsliding in an actively cultivated wet subtropical landscape" C.E. Ramos-Scharrón<sup>1</sup>, E.Y. Arima<sup>1</sup>, A. Guidry<sup>1</sup>, D. Ruffe<sup>1</sup>, B. Vest<sup>1</sup> Contains: roads & streams (lines), landslide scars, watershed, & lake (polys), 2016-17 1-m dem, 2018 1-m dem, 2010 land cover, geologic terrane, & soils (raster tif files)
DOI: 10.5281/zenodo.4379142
title: Lago Lucchetti Watershed-Landslide & misc dataset

description: Dataset supporting: "Sediment mobilization by hurricane-driven shallow landsliding in an actively cultivated wet subtropical landscape" C.E. Ramos-Scharrón<sup>1</sup>, E.Y. Arima<sup>1</sup>, A. Guidry<sup>1</sup>, D. Ruffe<sup>1</sup>, B. Vest<sup>1</sup> Contains: roads & streams (lines), landslide scars, watershed, & lake (polys), 2016-17 1-m dem, 2018 1-m dem, 2010 land cover, geologic terrane, & soils (raster tif files)
DOI: 10.5281/zenodo.4391312
title: Data for: Trolley Dilemma in the Sky: Context Matters When Civilians and Cadets Make Remotely Piloted Aircraft Decisions

description: This data set consists of the data of the following publication to be published in PLoS One: Crews operating remotely piloted aircrafts (RPAs) in military operations may be among the few that truly experience tragic dilemmas similar to the famous Trolley Problem. In order to analyze decision-making and emotional engagement of RPA operators within Trolley-Problem-like dilemma situations, we created an RPA simulation that varied mission contexts (firefighter, military and surveillance as a control condition) and the social “value” of a potential victim. We found that participants (Air Force cadets and civilian students) were less likely to make the common utilitarian choice (sacrificing one to save five), when the value of the one increased, especially in the military context. However, in the firefighter context, this decision pattern was much less pronounced. The results demonstrate behavioral and justification differences when people are more invested in a particular context despite ostensibly similar dilemmas.
DOI: 10.6084/m9.figshare.13480314.v1
title: Test Item, UCSC Hosting

description: Test item for UCSC browser access<br>
DOI: 10.5066/p9snwmjy
title: Microsatellite genotypes for desert tortoise (Gopherus agassizii) from scat (2016-2018)

description: These data show the multilocus genotypes, as well as extraction and sample genotype quality assessments for desert tortoise (Gopherus agassizii) scat samples. These data support the following publication: Mitelberg, A., Vandergast, A.G., Nussear, K.E., Dutcher, K. and Esque, T.C., 2019. Development of a Genotyping Protocol for Mojave Desert Tortoise Scat. Chelonian Conservation and Biology. https://doi.org/10.2744/CCB-1394.1.
DOI: 10.5066/p9srjfsi
title: Hair and blood total mercury concentrations in raccoons and striped skunks from Suisun Marsh 2016 to 2019

description: Total mercury concentrations were determined in hair and whole blood of raccoons and skunks in Suisun Marsh from 2016 to 2019. Individual skunks and raccoons were identified by a unique identifier (Animal_ID) and some animals were sampled multiple times. This dataset includes animal sex, age class, the date the sample was collected, animal body mass, head length, and head-to-torso length. These data support the following publication: Peterson, Sarah H., Ackerman, J.T., Hartman, C.A., Casazza, M.L., Feldheim, C.L., and Herzog, M.P. 2020. Mercury exposure in mammalian mesopredators inhabiting a brackish marsh. Environmental Pollution
DOI: 10.5066/p9x6q2c8
title: San Francisco Bay Tidal Marsh Avian Predator Surveys, 2010

description: This dataset contains avian survey observations across four tidal marsh areas around San Francisco Bay. Multiple surveys were conducted around both high and low tides during the winter of 2010/11. Each survey alternated between scan and focals. During scans, all observable birds were counted. During focals, the behavior of a single, randomly selected bird was observed. Water level data was collected concurrently at each site and is provided with the avian survey data. These data support the following publication: Thorne, K.M., Spragens, K.A., Buffington, K.J., Rosencranz, J.A. and Takekawa, J., 2019. Flooding regimes increase avian predation on wildlife prey in tidal marsh ecosystems. Ecology and evolution, 9(3), pp.1083-1094.
DOI: 10.5066/p9xv4xlq
title: Pacific Northwest tidal marsh plant biomass from a 2017 greenhouse experiment with flooding and salinity manipulations

description: The sensitivity of tidal marshes to environmental changes that result from sea-level rise or drought conditions is uncertain. We used a controlled greenhouse experiment and factorial flooding x salinity treatments to explore the differential responses of three tidal marsh plant species. Each species exhibited unique responses, with negative responses to increased salinity and longer flooding, but only limited evidence for interactive effects. These data support the following publication: Buffington, K.J., Goodman, A.C., Freeman, C.M. and Thorne, K.M., 2020. Testing the interactive effects of flooding and salinity on tidal marsh plant productivity. Aquatic Botany, p.103231.
DOI: 10.5281/zenodo.4390522
title: Monochromatic opacity data from the Opacity Project (OP) for use with MESA.

description: Monochromatic opacity data from the Opacity Project (OP) for use with MESA. The OP_mono opacities use data and code from the OP website as modified by Haili Hu. Since the file is large, it is not included in the standard mesa download. If you use these opacities, you should cite Seaton (2005): https://ui.adsabs.harvard.edu/#abs/2005MNRAS.362L…1S
DOI: 10.5281/zenodo.4390521
title: Monochromatic opacity data from the Opacity Project (OP) for use with MESA.

description: Monochromatic opacity data from the Opacity Project (OP) for use with MESA. The OP_mono opacities use data and code from the OP website as modified by Haili Hu. Since the file is large, it is not included in the standard mesa download. If you use these opacities, you should cite Seaton (2005): https://ui.adsabs.harvard.edu/#abs/2005MNRAS.362L…1S
DOI: 10.6084/m9.figshare.13484601
title: Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening

description: This data accompanies a paper of the same title, <i>Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening</i>. This data set includes the subjects' de-identified data from the study. The overall results of the study showed the ability of a neural network to differentiate between osteoporotic and healthy subjects was up to 95% specificity and 76% sensitivity.The CSV files are the output of the network analyzer, the MAT files are the same data after de-imbedding. Subject metadata is stored in list.mat (no identifying information is included).
DOI: 10.5281/zenodo.4389353
title: Plume spreading test case data

description: The plume test case output data from the models Thetis, FESOM-C and GETM are presented. Additionally, the key scripts to perform the numerical mixing analysis are provided.
DOI: 10.5281/zenodo.4389352
title: Plume spreading test case data

description: The plume test case output data from the models Thetis, FESOM-C and GETM are presented. Additionally, the key scripts to perform the numerical mixing analysis are provided.
DOI: 10.6084/m9.figshare.3761562.v1722
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.