cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7z31wss
title: Data associated with Sofaer and Jarnevich 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants'

description: These data were analyzed for the publication 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants': Aim: Exotic species distributions reflect patterns of human-mediated dispersal, species climatic tolerances, and a suite of other biotic and abiotic factors. The relative importance of each of these factors will shape how the spread of exotic species is affected by ongoing economic globalization and climate change. However, patterns of trade may be correlated with variation in scientific sampling effort globally, potentially confounding studies that do not account for sampling patterns. Location: Global. Methods: We used data from the Global Biodiversity Information Facility (GBIF) to summarize the number of plant species with exotic occurrences in the U.S. that also occur in each other country worldwide. We assessed the relative importance of trade and climatic similarity for explaining variation in the number of shared species while evaluating several methods to account for variation in sampling effort among countries. Results: Accounting for variation in sampling effort reversed the relative importance of trade and climate for explaining numbers of shared species. Trade was strongly correlated with numbers of shared U.S. exotic plants between the U.S. and other countries before, but not after, accounting for sampling variation among countries. Conversely, accounting for sampling effort strengthened the relationship between climatic similarity and species sharing. Using the number of records as a measure of sampling effort provided a straightforward approach for analyzing occurrence data, whereas species richness estimators and rarefaction were less effective at removing sampling bias. Main conclusions: Our work provides support for broad-scale climatic limitation on exotic species distributions, illustrates the need to account for variation in sampling effort in large biodiversity databases, and highlights the difficulty in inferring causal links between the economic drivers of invasion and global exotic species occurrence patterns.
DOI: 10.5066/f7z31x54
title: Removal count data of Veiled Chameleons on Maui, 2002-2012

description: The data set consists of 3 spreadsheets: counts, efforts, and location that detail the 10-year removal effort of invasive Veiled Chameleons (Chamaeleo calyptratus) on the island of Maui. Recorded are the number of lizards removed from each site, the level of search effort at each site, and the centroid location of each sampled site.
DOI: 10.5066/f7z60m9v
title: Cottonwood Management at Theodore Roosevelt National Park, North Dakota

description: This data release consists of the following components: Sex ratio data from cottonwood trees at random points on the floodplain in the North and South units of Theodore Roosevelt National Park, ND. These data were used to investigate the effects of age, height above, and distance from the channel on mortality of male and female trees of plains cottonwood (Populus deltoides subsp. monilifera) as described in the Friedman and Griffin (2017) report. Tree core and tree ring data from the North and South Units of Theodore Roosevelt National Park, North Dakota. South Unit data was collected in April 2012, North Unit data was collected in the summer and fall of 2010. The trees are located on the floodplain of the Little Missouri River in Theodore Roosevelt National Park. These data were used to reconstruct flow and climate as described in the Friedman and Griffin (2017) report and in other documents cited by that report. The tree ring data is presented in Standard Tucson format. Floodplain and riparian cottonwood forest areas in the South Unit were digitized as separate shapefiles using 2010 NAIP imagery. They were mapped to assist management of cottonwood forests by increasing understanding of the relation between geomorphic setting, flow, precipitation, temperature, and other factors. Edges of water, channel centerline, valley bottom centerline, extent of valley bottom, and estimated bankfull channel data for the Little Missouri River in the North and South Units were mapped as separate shapefiles from 2010 NAIP imagery as well.
DOI: 10.5066/f7zk5dsb
title: Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011

description: This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGSs GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
DOI: 10.5066/f7zk5fw3
title: Magnetotelluric Data from the San Andreas Fault, Parkfield CA, 1990

description: The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Data at Risk (DaR) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Parkfield, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5 inch discs, from which data were recovered and transformed to binary or ASCII formats using proprietary software. This USGS data release includes the original binary and ASCII data files and derivative EDI files (Wight, 1988), a common modern format for magnetotelluric modelling, created using Python-based software developed by the DaR team. Each child item on this landing page represents a different stage of the dataset's life cycle. Data, documentation and supplemental resources are included for the original binary format, the legacy ASCII format, and the modern EDI format that the DaR software produced (Enns et al, 2018).
DOI: 10.5066/p90ic37o
title: Detection and non-detection records of Saipan's terrestrial herpetofauna, 2018

description: There are two datasets included in this entry. The diurnal dataset contains 28 columns of data collected during transects surveys. The nocturnal dataset contains 52 columns. We randomly select 56 sites, each 50 m in length, from 37,968 m of transects spanning the island that were originally created for bird surveys in 1982 through the cooperative efforts of the U.S. Fish and Wildlife Service, the Department of Natural Resources of CNMI, and the U.S. Forest Service. For diurnal surveys, 56 transects were surveyed twice per day for 1-3 consecutive days resulting in six survey occasions. For nocturnal surveys, we surveyed 51 of the 56 transects 4 times per night for 1-3 consecutive nights resulting in 12 survey occasions. Each survey was allotted ~10 min to complete. All species encountered during this time were recorded. The covariate enhanced vegetation index (10-meter resolution) was derived using Sentinel-2 satellite imagery from dates around and through the sampling periods: 12 June 2018, 22 June 2018, 02 July 2018, 22 July 2018, 27 July 2018, and 11 Aug 2018. Elevation data was resampled to 5-m resolution from a native 3-meter resolution.
DOI: 10.5066/p91l28pg
title: Simulation to evaluate response of population models to annual trends in detectability

description: In 'Simulation to evaluate response of population models to annual trends in detectability', we provide data and R code necessary to create simulation scenarios and estimate trends with different population models (Monroe et al. 2019). Literature cited: Monroe, A. P., G. T. Wann, C. L. Aldridge, and P. S. Coates. 2019. The importance of simulation assumptions when evaluating detectability in population models. Ecosphere 10(7):e02791. 10.1002/ecs2.2791, http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2791/full.
DOI: 10.5066/p920wo0q
title: Sample collection information and microsatellite data for Gunnison sage-grouse pre and post translocation

description: Maintenance of genetic diversity is important for conserving species, especially those with fragmented habitats and/or ranges. In the absence of natural dispersal, translocation can be used to achieve this goal. However, the long-term impacts from translocation can be expensive and difficult to evaluate. This dataset is used to evaluate genetic change as a result of translocation and represents samples collected before and after translocations were conducted.
DOI: 10.25573/data.10042451.v23
title: Barro Colorado Island, Clearing_Air Temperature

description: Barro Colorado Island (BCI),Clearing ('El Claro')Location: 9°9'47.21"N, 79°50'17.64"W<br>Air temperature, electronic sensor, interval max/min/avg<br>The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.<br>
DOI: 10.5066/p9229zlm
title: Chorus frog density and population growth, Cameron Pass, Colorado, 1986-2020

description: We investigated population dynamics in chorus frogs (Pseudacris maculata) relative to extrinsic (air temperatures and snowpack) and intrinsic (density dependence) characteristics at 2 sites in Colorado, USA. We used capture-mark-recapture (cmr) data (i.e., 1 or 0, provided here) and a Bayesian model framework to assess our a priori hypotheses about interactions among covariates and chorus frog survival and population growth rates. Files include: Cameron_Lily_cmr_NOV2020.csv, Cameron_Matthews_cmr_NOV2020.csv, and Cameron_covariates_NOV2020.csv. Data associated with paper by Kissel et al. 2021.
DOI: 10.5066/p924ocxc
title: Handling times: tagging vs photos, Boreal toads in WY/CO 2020

description: Individual identification is required for investigations that examine population-level changes (e.g., decreased survival, increased disease prevalence) and the mechanisms associated with these changes in wild populations. Such identification generally requires the application of a unique mark, or the documentation of characteristics unique to each individual animal. Marking strategies that minimize handling time (representing stress), and thus minimize impacts to populations, are encouraged from scientific, as well as ethical, perspectives. We used passive integrated transponder (PIT) tagging and photography to individually identify Boreal toads (Anaxyrus boreas boreas) in Rocky Mountain National Park, Colorado and the Bridger-Teton National Forest in Wyoming. We measured initial and subsequent handling times for each marking method, in two environments (indoor and field), and evaluated the effect of method and environment on time to mark. We used a two-way analysis of variance (ANOVA) to examine differences in initial handling time between marking method (PIT tag or photography) and environment (indoor or field).
DOI: 10.5281/zenodo.7330409
title: Activation patterns of afferent synapses on layer 5 tufted pyramidal cells in a biologically detailed simulation

description: The data set is based on a biologically detailed simulation of a circuit of cortical neurons. The circuit was activated by thalamo-cortical inputs every 1 s for 500 ms. We report for a number of exemplary tufted pyramidal cells in layer 5 the pattern activation of their afferent synapses. Specifically, we report for all afferent excitatory synapses the pairwise path distances along the dendrite / soma (note that the soma was simplified to a point for the purpose of calculating path distances, but not during the simulation), and the times of activation of each of these synapses. The simulation is based on the model described in this preprint. The model can also be found here on Zenodo. For more details on the simulation, contact the author. For more details about the format of the data, refer to the included jupyter notebook.
description: Generation of this data was supported by funding to the Blue Brain Project, a research center of the Ecole polytechnique federale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology.
DOI: 10.5281/zenodo.7330408
title: Activation patterns of afferent synapses on layer 5 tufted pyramidal cells in a biologically detailed simulation

description: The data set is based on a biologically detailed simulation of a circuit of cortical neurons. The circuit was activated by thalamo-cortical inputs every 1 s for 500 ms. We report for a number of exemplary tufted pyramidal cells in layer 5 the pattern activation of their afferent synapses. Specifically, we report for all afferent excitatory synapses the pairwise path distances along the dendrite / soma (note that the soma was simplified to a point for the purpose of calculating path distances, but not during the simulation), and the times of activation of each of these synapses. The simulation is based on the model described in this preprint. The model can also be found here on Zenodo. For more details on the simulation, contact the author. For more details about the format of the data, refer to the included jupyter notebook.
description: Generation of this data was supported by funding to the Blue Brain Project, a research center of the Ecole polytechnique federale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology.
DOI: 10.5066/p92i6jzq
title: Forestry and soil moisture data from Sugarloaf Creek Basin, CA; 1970-2017

description: The data from Sugarloaf Creek Basin (SCB) in Sequoia Kings Canyon National Park contained herein include forest inventory plots which were installed in 1970 and re-measured in 2017 for tree and shrub inventories; classified vegetation layers produced from raster images collected in 1973 from aerial orthophotos and in 2014 from satellites; spatially-distributed soil moisture measurements made from 2016-2018; and long-term in-situ weather station measurements made from 2016-2018. The Data directory contains four main data types. 1) In the root Data directory, three tabular data files containing information on trees and other vegetation cover in SCB in 1970 and 2014 (SugarloafForestryPlotData_x.csv) 2) In the root Data directory, one tabular data file containing information on surface soil moisture in SCB from 2016-2018 (SugarloafSoilMoisture.csv) 3) In the Geospatial data directory, two raster files containing vegetation types from classified aerial or satellite imagery (x_veg_classes.tif), one shapefile containing fire perimeters in SCB from 1973-2003 (Sugarloaf Fires 1973-2003.shp) and one tabular file containing point-specific environmental information in SCB (RasterToPointsValues.csv) 4) In the Weather Stations data directory, six tabular data files containing weather station data from three sites at SCB and three sites at Illilouette Creek Basin (ICB) in Yosemite National Park, collected from 2016-2018 (TableX#.csv)
DOI: 10.5066/p939bm0w
title: Brown Treesnake visual survey and radiotelemetry data, Guam 2015

description: The dataset consists of two spreadsheets that contain brown treesnake data (location, perch taxa, perch height, time of detection, whether visible or not, and size of snake) collected during both visual surveys and radio telemetry within a 55-ha enclosure on Guam.
DOI: 10.5066/p93bny71
title: Characteristics, presence of erosional features, and cover of vegetation and bare ground on fields formerly enrolled in grassland, wetland, and wildlife practices of the Conservation Reserve Program in the central and western United States from 2017 to 2018

description: Data included in this data set are from edge-of-field surveys that recorded the presence of erosional features, cover of vegetation and bare ground, and management activities (e.g., haying) on 1092 fields that had expired from three types of conservation practices (grassland, wetland, and wildlife) in the Conservation Reserve Program. Field sampling data were recorded across six US Department of Agriculture Farm Production Regions (Corn belt, Lake states, Mountain, Northern plains, Pacific, Southern plains) from 2017 to 2018. The study area encompassed all or part of 14 states: Washington, Oregon, Idaho, Montana, North Dakota, South Dakota, Minnesota, Iowa, Missouri, Colorado, Nebraska, Kansas, Oklahoma, and Texas. Complete methods and other additional information are provided in the journal article associated with this data release (Vandever and others, 2022). This data release consists of 2 files: “CoverCharacteristicsOfExpiredCRPFields.csv”, and LandCoverAndManagementOfExpiredCRPFields.csv.
DOI: 10.5066/p93fzihx
title: Data associated with toxicant applications for brown treesnake control

description: This file describes three datasets used to evaluate individual traits in brown treesnakes and how they affect susceptibility to toxicant applications. This file references three data sets that include 'Guam GROUND', SURVTOX', and 'HMU NWFN TRT.' Guam GROUND reference to snakes encountered during visual surveys on Guam and whether they were located on the ground or arboreal. SURVTOX refers to a known fate study of telemetered snakes that either survived or died during an application of toxic baits. HMU NWFN TRT refers to the demography of snakes captured pre and post-toxicant treatment.
DOI: 10.5281/zenodo.6346899
title: Wikipedia Knowledge Graph dataset

description: Wikipedia is the largest and most read online free encyclopedia currently existing. As such, Wikipedia offers a large amount of data on all its own contents and interactions around them, as well as different types of open data sources. This makes Wikipedia a unique data source that can be analyzed with quantitative data science techniques. However, the enormous amount of data makes it difficult to have an overview, and sometimes many of the analytical possibilities that Wikipedia offers remain unknown. In order to reduce the complexity of identifying and collecting data on Wikipedia and expanding its analytical potential, after collecting different data from various sources and processing them, we have generated a dedicated Wikipedia Knowledge Graph aimed at facilitating the analysis, contextualization of the activity and relations of Wikipedia pages, in this case limited to its English edition. We share this Knowledge Graph dataset in an open way, aiming to be useful for a wide range of researchers, such as informetricians, sociologists or data scientists. There are a total of 9 files, all of them in tsv format, and they have been built under a relational structure. The main one that acts as the core of the dataset is the <em><strong>page</strong></em> file, after it there are 4 files with different entities related to the Wikipedia pages (<em><strong>category</strong></em>, <em><strong>url</strong></em>, <em><strong>pub</strong></em> and <em><strong>page_property</strong></em> files) and 4 other files that act as "intermediate tables" making it possible to connect the pages both with the latter and between pages (<em><strong>page_category</strong></em>, <em><strong>page_url</strong></em>, <em><strong>page_pub</strong></em> and <em><strong>page_link</strong></em> files). The document <em><strong>Dataset_summary</strong></em> includes a detailed description of the dataset. Thanks to Nees Jan van Eck and the Centre for Science and Technology Studies (CWTS) for the valuable comments and suggestions.
DOI: 10.5281/zenodo.6346900
title: Wikipedia Knowledge Graph dataset

description: Wikipedia is the largest and most read online free encyclopedia currently existing. As such, Wikipedia offers a large amount of data on all its own contents and interactions around them, as well as different types of open data sources. This makes Wikipedia a unique data source that can be analyzed with quantitative data science techniques. However, the enormous amount of data makes it difficult to have an overview, and sometimes many of the analytical possibilities that Wikipedia offers remain unknown. In order to reduce the complexity of identifying and collecting data on Wikipedia and expanding its analytical potential, after collecting different data from various sources and processing them, we have generated a dedicated Wikipedia Knowledge Graph aimed at facilitating the analysis, contextualization of the activity and relations of Wikipedia pages, in this case limited to its English edition. We share this Knowledge Graph dataset in an open way, aiming to be useful for a wide range of researchers, such as informetricians, sociologists or data scientists. There are a total of 9 files, all of them in tsv format, and they have been built under a relational structure. The main one that acts as the core of the dataset is the <em><strong>page</strong></em> file, after it there are 4 files with different entities related to the Wikipedia pages (<em><strong>category</strong></em>, <em><strong>url</strong></em>, <em><strong>pub</strong></em> and <em><strong>page_property</strong></em> files) and 4 other files that act as "intermediate tables" making it possible to connect the pages both with the latter and between pages (<em><strong>page_category</strong></em>, <em><strong>page_url</strong></em>, <em><strong>page_pub</strong></em> and <em><strong>page_link</strong></em> files). The document <em><strong>Dataset_summary</strong></em> includes a detailed description of the dataset. Thanks to Nees Jan van Eck and the Centre for Science and Technology Studies (CWTS) for the valuable comments and suggestions.
DOI: 10.5066/p93niuym
title: Metagenetic analysis of stream community composition based on environmental DNA

description: A survey of environmental DNA was performed in Tunison Creek downstream of the USGS Tunison Aquatic Laboratory. The goal of the survey was to characterize the source ecological community at multiple trophic or taxonomic levels by associating DNA fragments with reference databases. Three taxonomically informative genetic loci were used: the mitochondrial cytochrome oxidase 1 locus, the mitochondrial 12S ribosomal locus, and the bacterial/organellar 16S ribosomal locus. The data set includes a list of sample and sequence accessions residing in the National Center for Biotechnology Information databases, which provide the raw data for analysis or re-use. The data also includes the representative sequences of operational taxonomic units (OTUs) and their abundance and taxonomic assignment, which are the primary endpoints of the data collection.
DOI: 10.5066/p93ompvo
title: Habitat characterization around standard brown treesnake traps on Guam, 2004 - 2017

description: Data were collected in association with locations of standard brown treesnake traps on Guam at location prior to suppression or control efforts and after control had occurred. In all cases study sites were closed or semi-closed populations of brown treesnakes. Habitat data focused on type and structure of the habitat within 10-m of the trap.