cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1972218
title: Supporting data for "Frozen flume experiments indicate rapid permafrost riverbank erosion depends on bank roughness"

description: This dataset contains supporting files detailing five frozen flume experiments conducted at the Caltech Earth Surface Dynamics Laboratory to investigate rates of ablation-limited permafrost riverbank erosion under controlled conditions. Water flowed past a bank of saturated, frozen sand and ice and gradually eroded the bank by thawing pore ice and immediately entraining sand and washing it downstream. Experiments were scaled for flow hydraulics and heat transfer allowing comparisons between our results and natural permafrost riverbanks. For each experiment, we measured the initial and final sand bank topography using a Keyence laser scanner, water surface slope at 3-min intervals throughout the experiment using a Massa sonar scanner, bank erosion using 10-sec overhead timelapse imagery taken by an overhead camera, water and bank temperature using thermistors frozen into the sand bank and sampling at 2 Hz, and water discharge using an in-line flow meter. We include calibration data for the carriage (engineered by the Saint Anthony Falls Laboratory) used to make sonar and laser topography measurements. We also include calibration data for temperature sensors, water discharge measurements, and images of a regular grid placed in the flume to align overhead camera images with the carriage datum. Grain size analysis for the channel bed (gravel) was produced using a pebble count and bank sand was measured using a Camsizer X2. In addition to the five frozen experiments, we include sonar scans of water surface slope and Keyence scans of bed and bank topography for calibration experiments ran with an immobile gravel bank and bed.
DOI: 10.25612/837.4d1qm20gbva4
title: TAGA Unit Data following the 2019 ITC Fire

description: Trace Atmospheric Gas Analyzer (TAGA) unit data collected by EPA Region 6 Emergency Response Team following the 2019 Intercontinental Terminals Company (ITC) fire.
DOI: 10.5281/zenodo.8128056
title: Supporting data for ''Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions"

description: Supporting data for our work on Nature Climate Change. You will find: - python codes for generating the plots in the manuscript.
DOI: 10.6084/m9.figshare.22047095.v1
title: Primary data

description: Understanding the changes in the southwest summer monsoon (SSM) is of great social and economic significance to the areas affected by it. Studying the evolution of SSM cover the course of geological history can help us understand current monsoon changes and even predict future ones. Given that there is still debate about the period when the SSM was strongest during the Holocene, along with a lack of longer timescale studies of monsoon evolution, we still have a limited understanding of the variation of the SSM and the mechanism driving it. Here we reconstructed the history of chemical weathering intensity since the Last Glacial Maximum (LGM) based on clay mineral proxies ((illite/smectite)/(illite+chlorite) and illite crystallinity) retrieved from Qionghai Lake sediments and discussed its response to paleoclimate and SSM. Our results showed that the intensity of chemical weathering was roughly consistent with the change of paleoclimate, exhibiting high-intensity chemical weathering in warm and humid climate conditions. In addition, the intensity of chemical weathering generally tracked the evolution of SSM since the LGM. Our results support the view that the highest SSM intensity occurred in the early-middle Holocene, followed by gradual weakening in the middle-late Holocene. The evolution of SSM is primarily forced by the Northern Hemisphere summer insolation. The glacier boundary conditions, North Atlantic climate fluctuations, and ITCZ migrations also exerted cumulative influences on the variations of the SSM and the corresponding intensity of chemical weathering.
DOI: 10.17632/9swstxknpz.1
title: Dataset - Life stage dependent predator-prey reversal between a frog (Litoria aurea) and a dragonfly (Anax papuensis)

description: This dataset contains a list of observations from the publication in the journal Ecology titled 'Life stage dependent predator-prey reversal between a frog (Litoria aurea) and a dragonfly (Anax papuensis)'. Beranek et al. (2021) report that adult Australian emperor dragonfly (Anax papuaensis) prey on green and golden bell frog tadpoles. Here we report observations of green and golden bell frogs preying on Australian emperor dragonfly larvae. Together, our observations and those of Beranek et al. (2021) pose an example of predator-prey reversal between a frog species and a dragonfly species that shifts from dragonfly larva eating tadpoles in the aquatic environment to frogs eating dragonflies in the terrestrial environment.

We documented instances of predation of frogs by dragonflies in a routinely monitored population of the green and golden bell frog across four years during austral spring and summer (2016-2017, 2017-2018, 2018-2019 and 2019-2020). The monitoring consisted of surveying 9 wetlands (mean surface area: 2360 m² ± 1700 SD, mean depth: 0.7 m ± 0.5 SD) at night (from 1 - 6 hours after sunset) weekly from September – April which spans the entire breeding season of the green and golden bell frog. We concurrently monitored dragonfly predation by the bell frogs and counts of emerging dragonfly larvae.

References
Beranek, C. T., S. Sanders, J. Clulow, and M. Mahony. 2021b. Predator-free short-hydroperiod wetlands enhance metamorph output in a threatened amphibian: insights into frog breeding behaviour evolution and conservation management. Wildlife Research 49:360-371.
DOI: 10.3886/e130422
title: COVID-19 Vaccine Hesitancy Surveys

description: Assessing the prevalence of COVID-19 vaccine hesitancy before and during vaccine rollout in the United States, China, Taiwan, Indonesia, India, and Malaysia. The information in this deposit includes data collected in March 2020 through June 2021, along with a codebook explaining how each of the variables in the datasets were derived from each survey.<br><br>If publishing papers based on these datasets, please cite this data archive:<br>Wagner, Abram. COVID-19 Vaccine Hesitancy Surveys. Ann Arbor, MI: openICPSR [distributor], 2021-11-29. https://doi.org/10.3886/E130422<br><br>and the data note, which provides more information about the study:<br>Zhang F, Shih S-F, Harapan H, Rajamoorthy Y, Chang H-Y, Singh A, Lu Y, Wagner AL. Changes in COVID-19 risk perceptions: methods of an internet survey conducted in six countries. BMC Res Notes. 2021;14: 1–3. https://doi.org/10.1186/S13104-021-05846-8<br>
DOI: 10.5281/zenodo.7573365
title: Model output from the Bern3D model of 600 kyr weathering step-change experiments

description: Model output data from the Bern3D model that were used for the manuscript "Carbon cycle responses to changes in weathering and the long-term fat of stable carbon isotopes". Information on the different data files is included in the README.
DOI: 10.5281/zenodo.7625719
title: Article_sacha

description: The following is described in the repository comments: In the attached data you will find information on the rheological data required for the analysis and the protocols for microbiological and proximal characterization
DOI: 10.5281/zenodo.7832465
title: rarefaction and extrapolation of sample coverage based on sample-based abundance data

description: #R code.txt is the R code for plotting figures and constructing Tables #bciabun1010.txt is the species_by_plot matrix that BCI forest Plot is divided by a plot with size 10m*<em>10m</em> <em>#bciabun2020.txt is the species_by_plot matrix that BCI forest Plot is divided by a plot with size 20m*</em>20m <em>#bciabun5050.txt is the species_by_plot matrix that BCI forest Plot is divided by a plot with size 50m*5</em>0m #fus10.txt is the species_by_plot matrix that Fushan forest Plot is divided by a plot with size 10m*<em>10m</em> <em>#fus20.txt is the species_by_plot matrix that Fushan forest Plot is divided by a plot with size 20m*</em>20m #fus50.txt is the species_by_plot matrix that Fushan forest Plot is divided by a plot with size 50m*<em>50m</em> <em>#lhc10.txt is the species_by_plot matrix that Lianhuachi forest Plot is divided by a plot with size 10m*</em>10m #lhc20.txt is the species_by_plot matrix that Lianhuachi forest Plot is divided by a plot with size 20m*20m #lhc50.txt is the species_by_plot matrix that Lianhuachi forest Plot is divided by a plot with size 50m*50m
DOI: 10.5281/zenodo.8019121
title: Statistical uncertainty in the frequency dependence of the intensity scintillation index (S4)

description: This dataset contains scintillation statistics and parameters in support of the paper, "Sun, A. K., Pi, X., Rino, C., and Lee, J. (2023), Statistical uncertainty in the frequency dependence of the intensity scintillation index (S4), Radio Science." The raw GNSS scintillation dataset was collected by Dr. Eurico de Paula at INPE (Instituto Nacional de Pesquisas Espaciais), Brazil.
DOI: 10.6073/pasta/8bc6b7f79701d2fc802ee5e46938fc96
title: Data package for NutNet project: Compositional variation in grassland plant communities (60 sites, 2007-2020)

description: Data associated with a manuscript examining compositional variation in grassland plant communities around the globe. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on 6 continents. Each site had an identical experimental and sampling design: 24 plots x 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray-Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year (alpha) and per site (gamma)). We assessed species composition separately for each site and then compared patterns among sites, asking: (1) How does small-scale compositional variation differ among grasslands?; (2) Can compositional variation within a site be predicted by its biotic and abiotic context?; and (3) Does a combination of metrics enhance our understanding of the ecological processes at individual sites? This data package includes the site-specific values of each metric and the explanatory variables used to predict differences in compositional variation among sites. Scripts to conduct analyses and create figures and tables are also provided.
DOI: 10.6084/m9.figshare.21988241.v2
title: Effect of simulated heat waves on the behavior of two mirid predators

description: This dataset contains the raw data for the manuscript published under the same title
DOI: 10.6084/m9.figshare.23123588.v1
title: Data-ECS23-0278 .xlsx

description: <strong>Opposite response of N2O emissions in different seasons to warming and precipitation addition on a temperate steppe</strong>
DOI: 10.15485/1846282
title: Subsurface redox potential and water level at the Elkhorn Slough NERR

description: This resource contains various hydrological, and geochemical data from Elkhorn Slough National Estuarine Research Reserve from the years 2020 and 2021. These data have been used to assess how continuous measurements of environmental variables. The data can be used to understand processes at timescales over which biochemical transformations can happen. Especially, the data were used to explain the local subsurface hydrology, and its implication, in an experimental transect in a coasta estuary. Water level and water temperature were measured in-situ with Solinst pressure transducer loggers (Ontario, Canada). Redox potential was collected using in-situ, redox sensors (Paleoterra, The Netherlands) connected to CR1000X Campbell data loggers (Logan, Utah). Meteorological data was gathered from the Elkhorn Slough meteorological station.
DOI: 10.5066/p94jqofu
title: Dam Metrics Representing Stream Fragmentation and Flow Alteration for the Conterminous United States Linked to the NHDPLUSV2.1

description: This USGS data release includes a comma separated value (CSV) file that contains 19 reach-based dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous United States. Dam metrics fall into three main categories: count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,140) primarily from the National Anthropogenic Barrier Dataset (NABD) 2012 that were spatially linked to the National Hydrography Dataset Plus version 2.1 (NHDPlusV2.1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV2.1 (COMID) which can be used to join this table to spatial layers and data tables of the NHDPlusV2.1. Non-fluvial features representing lakes and reservoirs in the NHDPlusV2.1 are included (~300,000 features), however coastlines are excluded. For more details see the associated publication: Cooper, A.R., Infante, D.M., Daniel, W.M., Wehrly, K.E., Wang, L., Brenden, T.O. 2017. Assessment of dam effects for streams and fish assemblages of the conterminous USA. Science of the Total Environment https://doi.org/10.1016/j.scitotenv.2017.02.067
DOI: 10.5281/zenodo.7032168
title: A Parcellation Scheme of Mouse Isocortex Based on Reversals in Connectivity Gradients

description: This dataset contains a parcellation of mouse isocortex into a hierarchy of subregions. The parcellation is based on the detection of gradient reversals in voxelized connectivity, as described in our latest preprint manuscript. The connectivity dataset used for this purpose was the voxelized mouse connectome published by the Allen Institute for Brain Science, available at connectivity.brain-map.org (data) and github.com/AllenInstitute (code) Region id annotations are provided in .nrrd format. Refer to the NRRD documentation for details. The hierarchy is provided in the accompanying json file. For each region, an entry "structure_id_path" is provided that lists the ids of regions on the path from the root (i.e. isocortex) to the region in question. For more information, please read the accompanying manuscript. We will provide the link here, once it is online.
DOI: 10.6085/aa/marine_cbs.5.5
title: MARINe/PISCO: Intertidal: MARINe Coastal Biodiversity Surveys: Point Contact Surveys Summarized

description: Long-Term Monitoring and Biodiversity Surveys done by the Multi-Agency Rocky Intertidal Network (MARINe) occur throughout the year at sites ranging from Southeast Alaska to Mexico. Long Term Monitoring surveys assess within-site community change over time, while Biodiversity surveys were designed to capture among-site patterns of community structure (abundance and spatial distribution of species). In combination, the long-term, targeted species approach and the biodiversity surveys provide a wealth of information about the structure and dynamics of rocky intertidal communities along the Pacific Coast of North America. This metadata record documents the Point Contact surveys for the MARINe Biodiversity Surveys. Biodiversity surveys are comprised of four components, all sampled along the same transects: (1) point contact estimates of intertidal cover and substrate characteristics, (2) swath transects to estimate the density of seastars and abalone, (3) quadrat sampling to estimate the density of mobile invertebrates, and (4) topography (elevation relative to mean low low water (mllw)). Selected sites are resampled on a 3-5 year cycle. A site is defined as a contiguous rocky bench of at least 30m. Point Contact sampling consists of recording the diversity and abundance of invertebrates and algae along 11 transects of variable length extending from the upper intertidal to the low intertidal. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.15485/1898149
title: Storm and Annual Time Scale Hydrological Data for the Russian River Watershed 1996-2022

description: These files contains observed and simulated hydrological data (discharge, precipitation) that have been aggregated to the storm-event scale and to the annual time scale for the Russian River Watershed (RRW), California. Observed data are obtained from 12 different USGS hydrological stations located throughout the watershed, and discharge is simulated using the GR5H hourly hydrological model. Precipitation data are obtained from the NASA NLDAS NOAH Community Land Surface Model. All simulated and observed discharge are aggregated to the storm and annual time scales. We investigated changes in watershed hydrological conditions in the Russian River Watershed, a Mediterranean, drought prone, wildfire-adapted ecosystem, following eleven wildfires that occurred from 2017-2020. We ask two research questions: 1) How do interacting wildfire events, drought, and atmospheric rivers impact hydrological conditions of the watershed and in particular streamflow?, and 2) What percentage of new and/or cumulative wildfire disturbance is required to initiate hydrological change? We hypothesize that sub-watersheds of the RRW Mediterranean ecoregion have not burned beyond an intrinsic, and still unknown, threshold required to initiate change. Using a series of paired burned/unburned catchments nested within the larger watershed, we examined temporal and spatial patterns of pre-and-post wildfire water hydrology using a rainfall runoff hydrological model compared with data.
DOI: 10.5281/zenodo.7352566
title: WUSA surface wave amplification measurements (Schardong et al. 2019)

description: #Western U.S. surface wave amplification measurements If using this data please cite: <br> Schardong, L., Ferreira, A.M., Berbellini, A. and Sturgeon, W., 2019. The anatomy of uppermost mantle shear-wave speed anomalies in the western US from surface-wave amplification. Earth and Planetary Science Letters, 528, p.115822. Directory format:<br> USA.RAV... = vertical-component Rayleigh wave amplification measurements<br> USA.RAH... = horizontal-component Rayleigh wave amplification measurements<br> USA.TOR... = Love wave amplification measurements File format:<br> motion type index -- mode order (n) -- angular order (l) -- period -- relative local amplification w.r.t. PREM -- estimated error on local amplification The number of data points varies depending on the available data in Hendrik van Heijst's database, and the various selection steps.
description: {"references": ["Schardong, L., Ferreira, A.M., Berbellini, A. and Sturgeon, W., 2019. The anatomy of uppermost mantle shear-wave speed anomalies in the western US from surface-wave amplification. Earth and Planetary Science Letters, 528, p.115822."]}
DOI: 10.5281/zenodo.8059700
title: Stable isotopes in precipitation (δ18O and δD) from Yadong and Pali, central Himalayas

description: <strong>Metadata</strong> The isotopic compositions of daily precipitation were measured at two stations, Yadong and Pali, in the central Himalayas. The precision for δ<sup>18</sup>O and δD is ±0.1‰ and ±0.4‰, respectively. The meteorological data, including the collection of precipitation amounts and surface air temperature, was obtained by the Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China. <strong>Stations</strong> <strong>Station</strong> <strong>Latitude</strong> <strong>Longitude</strong> <strong>Altitude (m.a.s.l.)</strong> <strong>Sampling period</strong> <strong>Samples (n)</strong> Yadong 27° 29’ 40” N 88° 55’ 01” E 2945 2014-03-13 - 2015-07-18 125 Pali 27° 43’ 16” N 89° 09’ 08” E 4300 2014-03-18 - 2015-07-23 130 <strong>Variable definitions</strong> <strong>Description</strong> <strong>Unit</strong> <strong>Equipment</strong> <strong>Additional description</strong> Date time − − − Air temperature Celsius (°C) − − Precipitation mm − − Water vapour isotopic ratio (δ<sup>18</sup>O) per mil Picarro-2130i Liquid Water Isotope Analyzer Normalized to V-SMOW Water vapour isotopic ratio (δD) per mil Picarro-2130i Liquid Water Isotope Analyzer Normalized to V-SMOW Deuterium excess (d-excess) per mil d-excess=δD-8*δ<sup>18</sup>O <strong>Reference paper</strong> Axelsson, J., Gao, J., Eckhardt, S., Cassiani, M., Chen, D. & Zhang, Q. (2023). A precipitation isotopic response in 2014-2015 to moisture transport changes in the central Himalayas. <em>Journal of Geophysical Research: Atmospheres</em>
DOI: 10.6073/pasta/b1754d3a6b09df0f83976458ceb4b107
title: Three decades of limnological data from lakes in the Pocono Mountains region, Pennsylvania USA, 1988-2020

description: Three decades of limnological data have been collected from Lakes Lacawac, Giles, and Waynewood, located in the Pocono Mountains region of Pennsylvania, USA as a part of this ongoing data set. Giles is a clear-water, low dissolved organic matter oligotrophic lake in a largely protected watershed, Lacawac has higher dissolved organic matter concentrations and is a dystrophic brown-water system in a highly protected watershed within the Lacawac Sanctuary and Biological Field Station, and Waynewood is a more productive, eutrophic lake, with a larger watershed that is in mixed agricultural, forested, and residential use. One unique aspect of these data is that they comprise one of the largest and most complete data sets with measurements of underwater UV transparency available in the world. The data include a suite of 45 variables including physical, optical, and chemical characteristics of the lakes, with a focus on the optical characteristics. Data were collected on many of these variables at least once annually during the summer, often with much more frequent samples during the ice-free season, and for several years in the early 1990s through the winter months. The following three files contain this data set, with the main data contained in PoconosLakeData.csv. SiteInformation.csv and Methods.csv support the main data file, with descriptions of the sampling sites and methods by which samples were processed, respectively. Also included are summary reports that provide an overview and characterize the three core PCLP (Pocono Comparative Lakes Program) lakes from1989-1993. The user is referred in particular to the 1995 summary report on all three lakes as a useful introduction to the three lakes. These files can be accessed through links provided under Journal Citations. These reports provide an overview of the lakes and detailed methodology. The 1995 summary report “Limnology of Lakes Lacawac, Giles, and Waynewood 1989-93: An Introduction to the Core Lakes of the Pocono Comparative Lakes Program” provides a comprehensive overview of lake and watershed characteristics, as well as physical, chemical, and biological (fish, zooplankton, and phytoplankton) conditions. Detailed sampling and analytical methodology, and an overview of fish populations in the three lakes are also available, as well as annual reports for each lake. This data set complements the geographically diverse limnological data set that we published in EDI on the 25+ years of data from nearly 400 lakes spanning North America, the South American Patagonian region, and New Zealand. This complementary data set can be accessed at https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=643
DOI: 10.15482/usda.adc/1521130
title: Data from: Evaluation of Water Use Efficiency Algorithms for Flux Variance Similarity-based Evapotranspiration Partitioning in C3 and C4 Grain Crops