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North Temperate Lakes LTER Regional Survey Water Color Scans 2015 - current

The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Color is measured in water samples that are filtered in the field through 0.45 um nucleopore membrane filters. A spectrophotometer is used to quantify color in the lab as absorbance (unitless) at 1 nm intervals between the wavelengths of 200 and 800 nm. Absorbance data are considered suspect for values greater than 2.

North Temperate Lakes LTER Regional Survey Water Chemistry 2015 - current

The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. The regional lakes survey in 2015 followed the standard LTER protocol for standard water chemistry and biology. Samples were taken as close to solar noon as possible. Seven lakes had replicates performed, which were chosen at random.

North Temperate Lakes LTER Regional Survey Zooplankton 2015 - current

The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Zooplankton samples were taken at approximately the deepest part of each lake, via a vertical tow with a Wisconsin net. Count of individuals and presence absence data for all lakes in study region are provided here.

North Temperate Lakes LTER Regional Survey water temperature DO 2015 - current

The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Water temperature and dissolved oxygen profiles were taken on sampling days.

openCC (other)Nov 2022View details →

North Temperate Lakes LTER: Phytoplankton - Madison Lakes Area 1995 - current

Phytoplankton samples for the 4 southern Wisconsin LTER lakes (Mendota, Monona, Wingra, Fish) have been collected for analysis by LTER since 1995 (1996 Wingra, Fish) when the southern Wisconsin lakes were added to the North Temperate Lakes LTER project. Samples are collected as a composite whole-water sample and are preserved in gluteraldehyde. Composite sample depths are 0-8 meters for Lake Mendota (to conform to samples collected and analyzed since 1990 for a UW/DNR food web research study), and 0-2 meters for the other three lakes. A tube sampler is used for the 0-8 m Lake Mendota samples; samples for the other lakes are obtained by collecting water at 1-meter intervals using a Kemmerer water sampler and compositing the samples in a bucket. Samples are taken in the deep hole region of each lake at the same time and location as other limnological sampling. Phytoplankton samples are analyzed by PhycoTech, Inc., a private lab specializing in phytoplankton analyses (see data protocol for procedures). Samples for Wingra and Fish lakes are archived but not routinely counted. Permanent slide mounts (3 per sample) are prepared for all analyzed Mendota and Monona samples as well as 6 samples per year for Wingra and Fish; the slide mounts are archived at the University of Wisconsin - Madison Zoology Museum. Phytoplankton are identified to species using an inverted microscope (Utermohl technique) and are reported as natural unit (i.e., colonies, filaments, or single cells) densities per mL, cell densities per mL, and algal biovolume densities per mL. Multiple entries for the same species on the same date may be due to different variants or vegetative states - (e.g., colonial or attached vs. free cell.) Biovolumes for individual cells of each species are determined during the counting procedure by obtaining cell measurements needed to calculate volumes for geometric solids (e.g., cylinders, spheres, truncated cones) corresponding to actual cell shapes. Biovolume concentratio

openCC (other)Nov 2022View details →

North Temperate Lakes LTER: Groundwater Levels 1984 - current

Water levels in monitoring wells are measured several times throughout the year. The number of monitored wells has ranged over the study period from 19 to 44 wells. Currently, 37 wells are being monitored 4 - 5 times per year. The wells are scattered throughout the Trout Lake hydrological basin and the data are used to calibrate and test regional groundwater flow models. In addition (see related data set - Groundwater Chemistry), water chemistry is measured annually in a subset of 11 of these wells to characterize regional groundwater chemistry in the Trout Lake area. Sampling Frequency: varies - generally from 4 - 9 times a year Number of sites: 44

OpenNeuro52/100

EEG study of the attentional blink; before, during, and after transcranial Direct Current Stimulation (tDCS)

Open the record for dataset details and reuse information.

openCC0Jan 2019View details →

opencc-by-4.0Nov 2024View details →

Dataset for: Associating Mechano-electrochemical Phenomena to Stochastic Current Events in Micro-Electrochemical Cells Containing TiNb2O7 Particles

This is the raw data used in a manuscript that will be submitted to ChemElectroChem. If you have any questions, please email the creators.

opencc-by-4.0Nov 2024View details →

Survey Data on Current Open Access Terms and Future Trends (2024)

Description: This dataset contains the analysis, codebook, and raw survey data from the 2024 survey "Open Access – Current Terms and Future Areas of Focus". The survey aimed to gather perspectives from Open Access experts in the German-speaking region, focusing on the evaluation of current Open Access terminology, concepts, and emerging trends. The survey highlights how Open Access terminology has evolved over the past two decades and explores current perceptions regarding key terms in the Open Access discourse, as well as the anticipated future developments in this field. A total of 131 complete responses (N=131) were collected, providing valuable insights into the views of professionals working in Open Access publishing, information infrastructures, and scientific publishing houses. Contents: <ol> <li>codebook_oa_2024_2024-11-21.xlsx: The codebook, including detailed explanations of the variables, codes, and definitions used in the survey.</li> <li>survey_results_oa_2024_2024-11-21.xlsx: Anonymized raw data from the survey, including both quantitative and qualitative responses from the participants.</li> <li>values_oa_2024_2024-11-21.csv: CSV file containing the key terms and concepts identified by participants in response to the question on Open Access terminology.</li> <li>values_oa_2024_2024-11-21.csv: An additional CSV file with detailed classification and analysis of the terms related to Open Access, including their frequency and significance based on participant responses.</li> </ol> Methodology: The survey was conducted via an online questionnaire distributed from September 7 to October 15, 2024, to professionals working in Open Access, both within information infrastructures (e.g., libraries) and in academic publishing houses. The survey gathered both qualitative and quantitative data, focusing on how Open Access terminology is understood and its future developments. The data were cleaned, anonymized, and analyzed using appropriate statistical and content analysis methods. Purpose and Use: This dataset is valuable for researchers and professionals studying Open Access terminology, trends, and future developments. It provides insights into the current understanding of Open Access within the academic community and can be used for comparative studies, policy analysis, and future Open Access research.

opencc-by-4.0Sep 2024View details →

Current and future European potential vegetation types

This dataset contains Potential Natural Vegetation (PNV) estimates for the European continent at 1km grain size. Estimates are made for six different vegetation types following the MAES Ecosystem classification at level 1. The predictions have been made through an ensemble of Bayesian Habitat distribution models available through the ibis.iSDM package <a href="https://doi.org/10.1016/j.ecoinf.2023.102127" target="_blank" rel="noopener">(Jung 2023)</a>. For more information on the methodology, original data and used covariates, please see the accompanying preprint (<a href="https://doi.org/10.31223/X59H71">Jung 2024</a>). Uploaded are: <ul> <li>The most likely current PNV transition (see screenshot) as categorical raster (and screenshot, see png) (Classes: 1=Woodland.and.forest | 2=Heathland.and.shrub | 3=Grassland | 4=Sparsely.vegetated.areas | 5=Wetlands | 6=Marine.inlets.and.transitional.waters)</li> <li>Current PNV estimates as cloud-optimized geoTIFF ("COG") files (.tif)</li> <li>Future PNV estimates (zipped) for each considered SSP - GCM combination as geoTIFF (.tif).</li> </ul> Variable naming scheme: Current: "pnv_XX_laea_1km.tif" where XX represents the vegetation type Future: Here the hierachical organization scheme of Essential Biodiversity Variables (EBV) is followed where files are separated in folders by Scenario | metric | entity | time, so for example "SSP126-GFDL-ESM4/suitability_mean/grassland/" Filenames are labelled by the date (e.g. "2040.tif"). Metrics and layers names and their interpretation: For current: "mean" = Average Ensemble posterior prediction "sd" = Standard deviation of posterior prediction "q05" = Lower percentile (5%) of posterior prediction "q50" = Median or 50% percentile of posterior prediction "q95" = Upper percentile (95%) of posterior prediction "mode" = Most commonly encountered value of posterior prediction "cv" = Coefficient of variation of posterior prediction For future: "mean" = Average Ensemble posterior prediction "q05" = Lower percentile (5%) of posterior prediction "q50" = Median or 50% percentile of posterior prediction "q95" = Upper percentile (95%) of posterior prediction --- Data properties: <table> <tbody> <tr> <td>Shared Socioeconomic Pathways (SSP)</td> <td>SSP1-2.6, SSP2-4.5, SSP5-8.5</td> </tr> <tr> <td>General circulation models (GCMs)</td> <td>GFDL-ESM4,  IPSL-CM6A-LR,  MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL </td> </tr> <tr> <td>Spatial grain</td> <td>1 km²</td> </tr> <tr> <td>Geographic projection</td> <td>LAEA</td> </tr> <tr> <td>Temporal grain</td> <td>30 year climatologies</td> </tr> <tr> <td>Spatial extent</td> <td>Continental Europe including Turkey (see screenshot)</td> </tr> <tr> <td>Temporal extent</td> <td>1990 to 2020 (Current), 2020 - 2100 (Future)</td> </tr> <tr> <td>Number of variables/entities</td> <td>7</td> </tr> </tbody> </table> All files are provided as is and the author takes no responsibility for errors or misuse and misinterpretation.

opencc-by-4.0Apr 2022View details →

Dataset - Generating reliable estimates of tropical cyclone induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks

This data is complementary to the paper by Leijnse et al. 2022 "Generating reliable estimates of tropical cyclone induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks"  https://doi.org/10.5194/nhess-2021-181 This data is made available in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE For questions about the data ask: tim.leijnse@deltares.nl For more information about the tool to generate the used synthetic tracks TCWiSE see: <a href="https://www.deltares.nl/en/software/tcwise/">https://www.deltares.nl/en/software/tcwise/</a>

opencc-by-4.0Aug 2022View details →

Current Siberian heating is unprecedented during the past seven millennia

This repository contains all the tree-ring width chronology and reconstructions data used by Hantemirov et al. (2022) to assess the annually resolved summer temperature of the past 7000 years in Siberia For more information, we refer the user to the readme file entitled "Hantemirov_et_al_NatCom2022_Readme.txt"

opencc-by-4.0Aug 2024View details →

Dataset of "Anomaly Detection in Industrial Networks: Current State, Classification, and Key Challenges"

Industrial networks are adapted to their specific requirements, especially in terms of industrial processes. To ensure sufficient security in these networks, it is necessary to set and use security policies that complement government regulations, recommendations, and relevant security standards. This paper aims to provide an in-depth analysis of the anomalies occurring within the networks and propose a structure for collecting valuable data from the experimental site based on dividing anomalies into three main categories: security, operational, and service anomalies (and regular traffic recognition). We present a proof-of-concept solution/design aggregating data in industrial networks for advanced anomaly classification. Multiple data sources such as industrial communication, sensor data (additional sensors controlling device behavior), and HW status data are used as data sources. A total of three scenarios (using a physical testbed) were implemented, where we achieved an accuracy of 0.8540/0.9972 in advanced anomaly classification.

openCC (other)Dec 2025View details →

City of Seattle, Seattle Public Utilities, Knotweed Control 2010-current, Cedar River Municipal Watershed, King County, WA

openCC (other)Oct 2025View details →

City of Seattle, Seattle Public Utilities, Goshawk Nesting 1992 - Current, Cedar River Municipal Watershed and South Fork Tolt River Municipal Watershed, King County, WA

This data package contains American goshawk (Astur atricapillus) (formally known as Northern Goshawk [Accipiter gentilis]) survey data and nest location records, beginning in 1992 to present day, from the Cedar River Municipal Watershed and the South Fork Tolt River Municipal Watershed in King County, Washington, USA. Goshawks are classified as a sensitive species and are included in the Habitat Conservation Plan for the Cedar River Municipal Watershed. Surveys have been conducted periodically at historical nesting territories, depending on staff capacity and the potential for disturbances from planned infrastructure projects or forest thinning operations. These surveys were not based on a statistically valid random sampling design and did not always strictly follow established protocols. Survey methods primarily included broadcast surveys using a portable cassette player and megaphone but also involved active searches for nests or signs, as well as opportunistic detections during other forest management activities. At some nest sites, plot-level forest structure and characteristics were also documented. Nest productivity monitoring was generally not conducted, as the primary objective of the surveys was to minimize disturbance and prevent inadvertent destruction of nests.

openCC (other)Jan 2026View details →

City of Seattle, Seattle Public Utilities, Riparian Restoration 2001-current, Cedar River Municipal Watershed, King County, WA

The City of Seattle’s Cedar River Municipal Watershed is managed to support and supply clean drinking water to the greater Seattle area. The watershed covers 91,000 acres, hosts a rich diversity of plants, animals, and habitats, and is owned by the City of Seattle. In 2001 the City of Seattle prepared a multi-species Habitat Conservation Plan (HCP) to comply with the federal Endangered Species Act and to address a variety of related natural resource issues in the Cedar River Watershed. As defined in the HCP, the riparian zone is the area adjacent to surface waters and areas of high groundwater levels where the terrestrial system both influences, and is influenced by, the aquatic system. The City’s strategies for the riparian ecosystem are designed to protect the region’s supply of high-quality drinking water, to preserve and enhance stream and riparian ecosystems within the municipal watershed, and to restore and rehabilitate stream and riparian functions. This package includes as-builts from riparian restoration projects, shapefiles of planting locations, and their associated monitoring data. The data is a result of monitoring that occurred after installation of riparian restoration projects in the Cedar River Municipal Watershed. The monitoring data includes plant survivorship but varies by project in what information was collected. The monitoring data was collected by multiple people over many years. Some projects were monitored for several years after project installation and some projects were monitored only once. Some projects included experimental plantings that were assigned a variety of treatments to test the efficacy of different planting strategies. In this instance, the monitoring data can be used to identify the success of the various strategies. Monitoring tabular data will be updated as more restoration projects are installed, and as previously installed projects receive continued monitoring.

openCC (other)Sep 2025View details →

City of Seattle, Seattle Public Utilities, Bull Trout Fry Emergence Trapping 2023-current, Cedar River Municipal Watershed, King County, WA

Chester Morse Lake is managed for drinking water supply for the City of Seattle by Seattle Public Utilities (SPU). The reservoir was created in 1915 upon the completion of Masonry Dam, which raised the natural level of Cedar Lake from 1,538 feet to normal operational levels between 1,550 and 1,554 feet, with a maximum refill level of 1,565 feet. Construction of the dam removed several miles of potential stream spawning, incubation, and rearing habitat for an adfluvial population of bull trout, a species listed as threatened under the U.S. Endangered Species Act. The reservoir fluctuates widely across operational elevations during fall and winter storms. During reservoir refill in springtime, however, the reservoir will be continuously filled until reaching peak elevation (1,560 -1,565 feet) terminally inundating habitat where bull trout had previously spawned and embryos and alevins continue to develop in the streambed. Embryo incubation and fry emergence timing data are required to improve SPU's understanding of frequency and magnitude of operational impacts to bull trout embryos developing in stream habitats affected by reservoir inundation. This information enables empirically-based estimates for the number of embryos in the streambed vulnerable to impacts of inundation during fall and winter storms, which is an intermittent impact period for embryos; and reservoir refill, which is a terminal impact period for embryos. Between two and six hand-driven redd egg pocket water quality monitoring wells and quarantine fences (to avoid additional spawning and superimposition) were deployed near primary egg pockets the week of redd observation. Temperature and dissolved oxygen data were recorded in wells and weekly logger downloads informed biologists of incubation conditions (temperature and oxygen) and accumulated temperature units (ATU). Upon reaching approximately 500 ATU, fry emergence traps were deployed over quarantined redds and subsequently, cod ends were sampled

openCC (other)Jul 2021View details →

Moss point transect data for the Kuparuk River near Toolik Field Station, Alaska 1993-current. (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/280/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-arc/10317/8. The abstract below was extracted from the Level 0 data package and is included for context: This file contains the consolidated data for percent cover of dominant bryophytes and other easily identifiable macro-algae in the experimental reaches of the Kuparuk River beginning in 1993 and updated annually. In some years percent cover was recorded more than one time per season. In all years percent cover was recorded in riffle habitats and in some (early) years percent cover was recorded for pool habitats. Moss point transects have been done on the Kuparuk since 1993. The Arctic is one of the most rapidly warming regions on Earth. Responses to this warming involve acceleration of processes common to other ecosystems around the world (e.g., shifts in plant community composition) and changes to processes unique to the Arctic (e.g., carbon loss from permafrost thaw). The objectives of the Arctic Long-Term Ecological Research (LTER) Project for 2017-2023 are to use the concepts of biogeochemical and community “openness” and “connectivity” to understand the responses of arctic terrestrial and freshwater ecosystems to climate change and disturbance. These objectives will be met through continued long-term monitoring of changes in undisturbed terrestrial, stream, and lake ecosystems in the vicinity of Toolik Lake, Alaska, observations of the recovery of these ecosystems from natural and imposed disturbances, maintenance of existing long-term experiments, and initiation of new experimental manipulations. Based on these data, carbon and nutrient budgets and indices

openCC (other)Dec 2020View details →

Moss point transect data for the Kuparuk River near Toolik Field Station, Alaska 1993-current.

This file contains the consolidated data for percent cover of dominant bryophytes and other easily identifiable macro-algae in the experimental reaches of the Kuparuk River beginning in 1993 and updated annually. In some years percent cover was recorded more than one time per season. In all years percent cover was recorded in riffle habitats and in some (early) years percent cover was recorded for pool habitats. Moss point transects have been done on the Kuparuk since 1993.