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openCC (other)Sep 2025View details →

Landscape of fear and safety summer 2025 data from University of Michigan Biological Station stream research facilities

Predator prey interactions are often driven by sensory cues and these cues play a role in non-consumptive effects. We are interested in the role that chemical cues (from predators) play in resource use by one of fish common prey, crayfish. We created flow through mesocosms and populated them with crayfish and various configurations of shelters and food. Then we presented to the crayfish predator cues (from large mouth bass) and measured behavioral responses from midnight to 4 am.

openCC (other)Feb 2024View details →

Forest tree, woody debris, root ingrowth, soil respiration and characterization data from long-term research plots for LTREB at the University of Michigan Biological Station

The NSF-funded project "LTREB: Drivers of temperate forest carbon storage from canopy closure through successional time" (2014-2024) supports research to meet the following goals: 1) elucidate mechanisms responsible for changes in C storage over decades to centuries; 2) link processes leading to persistence and resilience of forest C storage following disturbance; 3) quantify the effects of potential drivers such as forest structure, N availability, climate change, and atmospheric deposition on decadal and longer-term trajectories of C storage. Field activities for this research are conducted at the University of Michigan Biological Station (UMBS) on a pair of chronosequences and several old reference forests. Synthesis activities utilize data collected from these field sites in support of the LTREB project, as well as data synthesized from other sources (e.g., long-term UMBS plot data, AmeriFlux data, FIA data) all intended to address the core questions of the LTREB project. This dataset has been compiled and expanded over a series of versions, with new data types and observations appended periodically. Presently, the dataset includes observations from tree inventory censuses, woody debris sampling, fine root ingrowth cores, soil respiration measurements, and two sets of soil collections aimed at quantifying a range of physical, chemical, and biological properties of soil.

Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 1975 to 1989.

Decadal file describing the physical lake parameters recorded at various lakes near Toolik Research Station during summers from 1975 to 1989. Depth profiles at the sites of physical measures were collected in situ. Values measured included temperature, conductivity, pH, dissolved oxygen, Chlorophyll A, Secchi disk depth and PAR. Note that some sample depths also have additional parameters measured and available in separate files for water chemistry and primary production.

Physical and chemical data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021

Decadal file describing the physical/chemical values recorded at various lakes near Toolik Research Station. Sample site descriptors include site, date, time, depth. Depth profiles of physical measures collected in situ with Hydrolab Datasonde in the field include temperature, conductivity, pH, dissolved oxygen in both percent saturation and mg/l, SCUFA chlorophyll-a values in both volts and µg/l, and PAR.

Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Alaska, Arctic LTER. Summer 2010 to 2020

Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2020. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured.

openCC (other)Nov 2022View details →

Water chemistry data for various lakes near Toolik Research Station, Arctic LTER. Summer 2010 to 2021

Note: Corrections were made to Particulate phosphorus values. See version 5 notes. Decadal file describing the water chemistry in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 2010 to 2021. Chemical analyses were conducted on samples from various depths in the sample lakes either once, or multiple times during the spring, summer and fall months (May to September). Chemical analyses for the samples include alkalinity, dissolved organic and inorganic carbon, inorganic and total dissolved nutrients, particulate carbon, nitrogen and phosphorous, cations and anions.

Meteorological data collected on Toolik Lake during the ice free season for 2014-2020, Arctic LTER, Toolik Research Station, Alaska

File describing the meteorological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind speed and direction, and radiation. Note: There are no discharge data for 2013 because of equipment malfunction.

openCC (other)Jan 2026View details →

Merged discrete water-column data from PAL LTER research cruises along the Western Antarctic Peninsula, from 1991 to 2024.

Water samples are collected throughout the water column along the Western Antarctic Peninsula at regular LTER grid stations where CTD casts are preformed and in surface waters at underway stations, where CTD casts are not done, using the ship's flow-through seawater system. This dataset is the compilation of water samples collected at these stations, merged from other PAL-LTER datasets. Data includes water column Chlorophyll and Phaeopigment concentrations; phytoplankton accessory pigments -including other chlorophyll's (e.g. chlorophyll b), xanthophylls, and carotenes; primary production rates; bacterial production; dissolved organic carbon; particulate organic carbon and nitrogen; dissolved inorganic nutrients; dissolved oxygen, and dissolved inorganic carbon and alkalinity. Measurements of phytoplankton Fv/Fm measured using a FIRe (Fluorescence Induction and Relaxation) fluorometer are also included, though caution is urged as FIRe data has not been corrected nor QCed. Conductivity, temperature, depth, and associated data from instruments on the sampling rosette (e.g. PAR, beam transmission) for each sampling depth are also included. Phytoplankton accessory pigment data is unavailable for the LMG10-01 cruise due to instrumentation problems and for the LMG12-01 cruise due to a freezer failure which resulted in the loss of samples. Dissolved oxygen measurements were discontinues after 2012, and thus no data is available from 2013 onwards. Dissolved Organic Carbon data is unavailable after 2012 due to instrumentation problems. There is no Particulate Organic Carbon data for cruise PD94-01.

opencc-by-4.0Aug 2020View details →

Data presented in Devenish and Cerminara, Journal of Geophysical Research Atmosphere, 2021. doi:10.1029/2020JD033699

The files contain the raw data of the atmospheric and concentration profiles respectively used and calculated by the LES and LSM simulations presented in Devenish and Cerminara (2020). The concentration data have been stored in two ASCII columns, the first being the elevation with respect to the vent level, and the second the concentration normalised by the initial concentration, where the initial concentration is the product of the source mass flux and the exit velocity. For the two cases of the intercomparison study, the initial mass flux is 1.5e6 kg/s and 1.5e9 kg/s for the weak and strong cases, respectively. The respective exit velocities are 135 m/s and 275 m/s. For the twenty cases with ambient wind, the initial mass flux and exit velocities can be extracted from the information given in the paper. Additional information can be found in Costa et al. (2016) and Aubry et al. (2019).

opencc-by-4.0Nov 2023View details →

JasonAlongTrack: A reformatted version of the Integrated Multi-Mission Ocean Altimeter Data for Climate Research Version 5.1

JasonAlongTrack contains geo-registered along-track sea surface height anomalies with respect to the DTU15 mean sea surface at 1-second intervals from Jason-class altimeters, reformatted for convenience into a 3D array with dimensions of along-track direction by geographically sorted track number by cycle.This is a reformatted version of Beckley et al.'s Integrated Multi-Mission Ocean Altimeter Data for Climate Research complete time series Version 5.1 dataset, available from <a href="https://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_ALL_V51">https://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_ALL_V51</a>.   The changes are as follows. Altimeter passes are sorted according to their initial longitude, then split into descending and ascending potions with all descending tracks preceding all ascending tracks. Descending tracks are then flipped so that latitude increases in the alongtrack direction for all tracks. This leads to a 3373 x 254 matrix of observational locations, with the first dimension being the along-track location and the second dimension being the track index. Sea surface height anomaly, time, and flag values are then placed into their correct locations within this matrix, such that these three variables are all of size 3373 x 254 x K where K is the number of cycles, currently 1087. A very good approximation to the time at each of the 3373 x 254 x K observation points is constructed with a length K array of cycles times together with a 3373 x 254 array of time offsets. A median-based editing criterion in introduced to identify a small number of suspect data points.  These are set to a value of NaN in sla, but their positions and values are recorded in rejected_index and rejected_values, respectively.  The DTU15 mean dynamic topography (mdt) is included, in addition to the mean sea surface field already provided, interpolated onto the track locations using bicubic interpolation.  Finally, an estimate of the small-scale noise level, sigma, is produced using a wavelet transform filter.

opencc-by-4.0Nov 2024View details →

Quantitative Assessment of Research Data Management Practices - 2023

This survey investigates Research Data Management (RDM) practices across five Swiss higher education institutions, including EPFL, ETH Zürich, Eawag, FHNW, and DaSCH, with the goal of gathering insights into how researchers manage data and code throughout the lifecycle of their projects, as well as using such findings to inform academic services related to RDM for researchers. Previous surveys, conducted at EPFL in 2017, 2019, and 2021, primarily focused on the planning and publishing stages of the research data lifecycle, such as data management planning and open data dissemination. The 2023 edition expanded to other institutes and places a stronger emphasis on Active Data Management, particularly during research projects, including a range of topics such as: <ul> <li>Storage and backup solutions</li> <li>Data and code sharing platforms</li> <li>Documentation and metadata usage</li> <li>Compliance with legal and ethical standards</li> <li>Long-term data preservation strategies</li> <li>Use of open formats and open-source software</li> <li>Adoption of Data Management Plans (DMPs)</li> </ul> This dataset was collected using the SurveyHero platform in compliance with GDPR and Swiss FADP regulations. enuvo GmbH acted as the data processor under a signed Data Processing Agreement. No personal identifiable information was purposefully collected, and data has been aggregated to further ensure respondents’ privacy. Included in this dataset: <ul> <li>A CSV and XLSX file with the aggregated, anonymized data from the survey.</li> <li>Two PDF files containing graphical representations of the survey results, automatically generated by the SurveyHero platform in portrait and landscape mode.</li> <li>A README file providing context.</li> </ul> This dataset is made openly available under the CC-BY 4.0 license. Users are encouraged to reuse it with appropriate attribution.

opencc-by-4.0Apr 2022View details →

Dataset Dental research data availability and quality according to FAIR principles

This dataset contains open access publications in EPMC dental journals from 2016 to 2021 and 500 non-open access dental publications. We evaluated the level of compliance with the FAIR principles. The original dataset and codebook are attached.

openCC (other)Dec 2023View details →

Long-term (1935-2019) tree population data from remeasurements of a large network of permanent study plots in old-growth forest, Dukes Research Natural Area, Marquette Co., MI, USA

The Dukes Research Natural Area (Hiawatha National Forest, Marquette Co., MI) amounts to ca. 100 ha of minimally disturbed original forests, including a mix of mesic 'hemlock-northern hardwood' types and peaty wetlands dominated by several species of swamp conifers and black ash (Fraxinus nigra). The RNA hosts a regular grid of 250 0.2-acre (~0.08 ha) permanent monitoring (CFI) plots. This package includes tree censuses for subsets of CFI plots conducted in 1935, 1948, and 1974-1980, and repeated censuses with mapped stems from 1989 to 2019. This 84-year record constitutes one of the longest repeated-measurement, permanent-plot data-sets for old-growth temperate forest.

openCC0Mar 2021View details →

Plant community data at water sources, Mpala Research Centre, Kenya (2015-2017)

Data package contains four datasets of plant measurements taken at Mpala Research Centre, Laikipia County, Kenya from November 2015-September 2017. Additional code for data analysis is also provided as part of the publication `The effects of herbivore aggregations at water sources on savanna plants differ across soil and climate gradients`.

openCC (other)Dec 2015View details →

Chlorophyll a and primary productivity data for various lakes near Toolik Research Station, Arctic LTER. Summer 1983 to 1989.

Decadal file describing the chlorophyll a and primary production in various lakes near Toolik Research Station (68 38'N, 149 36'W) during summers from 1983 to 1989. Sample site descriptors include an assigned number (sortchem), site, date of analysis (incubation), time, depth and rates of primary production. The amount of chlorophyll a and pheophytin were also measured.

openCC (other)Jan 2020View details →

Toolik Lake Inlet discharge data collected during summers of 2010 to 2018, Arctic LTER, Toolik Research Station, Alaska.

Stream discharge, temperature, and conductivity of Toolik Lake Inlet stream for 2010 - 2018 study season. Water level was recorded with a Stevens PGIII Pulse Generator and Conductivity (EC) and Temperature measured with a Campbell Scientific Model 247 Conductivity and Temperature probe.

openCC (other)Jan 2016View details →

Meteorological data collected on Lake E5 during the ice free season since 2000 to present, Arctic LTER, Toolik Research Station, Alaska.

Yearly file describing the metological data on Lake E5 (Lake E5 Climate station) near the Toolik Field Research Station (68 38'N, 149 36'W). Measurements include air temperature, relative humidity, wind direction, and wind speed..

openOpenNov 2023View details →

Bonanza Creek LTER: Tree Inventory Data from 1989 to present at Core research sites in Interior Alaska

This is the data from the periodic (3-10 yr interval) tree inventory monitoring of tree growth within the vegetation control plots. In 2013 and 2014, an initial tree inventory was done on each site belonging to the Regional Site Network (RSN). Some young RSN sites had no, or very few trees. In general, inventory is every 5 years presently; the most recent collection was in 2018 and next scheduled collection is for 2023.