Find research datasets worth reusing

Sub-hourly water temperature data collected by UNBC's northern hydrometeorology group (NHG) across the Nechako Watershed, 2019-2021

This is a dataset of water temperature time series collected at 15 minute intervals at 24 sites across the Nechako Watershed. Data are provided in comma-delimited format with one file for each site. Each file name identifies the site location. The first column contains the date/time (UTC) in the format MM/DD/YEAR HH:MM. The second column contains the corresponding water temperature in degrees Celsius to two decimals. The third column contains a recommended flag for data quality, with "P" representing a "pass", "F" denoting a "fail", and "B" denoting "backwater conditions" with the likely presence of ice and below freezing temperatures. Additional issues encountered at specific sites are identified in the attached "read me" file along with basic metadata (site coordinates, elevation and period of record). A map of the sites is also attached to depict their locations across the Nechako Watershed.

Environmental data at the sampling event level collected with Inline instruments, almanach, models and satellites during the Tara Pacific Expedition 2016-2018

The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide at the sampling event level, the environmental data originating from all instruments acquiring continuously during the full course of the campaign. This dataset is augmented with the addition of variables originating from almanach (local sun/moon set/rise, local zenith), from operational models obtained from Copernicus Marine Services, but also from satellite imagery (MODIS-AQUA satellite - Level 3 mapped product, 8 day average, 4km resolution) at <a href="https://oceandata.sci.gsfc.nasa.gov">https://oceandata.sci.gsfc.nasa.gov</a>. The zone corresponding to the station position and date was recovered either by taking a two pixel buffer around the given location (total zone being a 5 by 5 pixels square of 20 km side) and in order to propose an alternative measure in the inevitable case where clouds were present an alternative 12 pixels buffer was taken (total zone being a 25 by 25 pixels square of 100 km side). All data were provided as mean, standard deviation (sd) together with 0.05, 0.25, 0.5, 0.75 and 0.95 quartiles

Dynamics of Collective Modes in an unconventional Charge Density Wave system BaNi2As2 - Raw Data

This repository includes two datasets included in the study "Dynamics of Collective Modes in an unconventional Charge Density Wave system BaNi2As2". Two datasets are included: Temperature_dependent_reflectivity_changes.dat Fluence_dependent_reflectivity_changes_at 10K.dat Temperature_dependent_reflectivity_changes.dat contain photoinduced reflectivity transients, recorder on BaNi2As2 for sample temperatures between 13 K and 149K. The first column is time-delay, other columns are the corresponding photoinduced reflectivity traces recorded at respective temperatures (constant fluence of 0.4 mJ cm−2).   Fluence_dependent_reflectivity_changes_at 10K.dat contain photoinduced reflectivity transients, recorder on BaNi2As2 at 10 K. The first column is time-delay, other columns are the corresponding photoinduced reflectivity traces recorded at respective fluences. Each signal has been normalized to the respective fluence.

opencc-by-4.0May 2022View details →

Flee Input Data Collection

This is a collection of FabFlee input data files, collected on 3-5-2022. For more information on how to use these files, please refer to flee.readthedocs.io.

Data collection for Section M in the northeastern Bay of Bengal

Observational Data from the China-Myanmar joint cruise, in relation to the publication An intrathermocline eddy observed in the northeastern Bay of Bengal Xiwu Zhou, Yun Qiu, Xinyu Lin, Hui Teng, Cherry Aung

opencc-by-4.0Sep 2021View details →

Data collection for article "Quantifying Local Ecosystem Service Outcomes by Modelling Their Supply, Demand and Flow in Myanmar's Forest Frontier Landscape"

This dataset contains the nine ecosystem service models (in .neta format) underlying the publication "Quantifying Local Ecosystem Service Outcomes by Modelling Their Supply, Demand and Flow in Myanmar’s Forest Frontier Landscape". The ecosystem models were implemented using the commercial software Netica (version 6.05) for constructing and analysing Bayesian Networks.

opencc-by-4.0Jun 2022View details →

In-network data collection and data processing - Supplementary materials for deliverable D5.1 - EU-H2020 FET project 'Watchplant'

Supplementary material for D5.1 - Watchplant. Contains collected dataset from plant experiments with blue and red light stimuli, classification results based on statistical methods, and plots of the recorded electropotentials.

opencc-by-4.0Jun 2022View details →

Collective interlayer pairing and pair superfluidity in vertically stacked layers of dipolar excitons - data

Data files for the figures appearing in the PNAS paper "Collective interlayer pairing and pair superfluidity in vertically stacked layers of dipolar excitons".

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Data collected for: The contrasted impacts of grasshoppers on soil microbial activities in function of ecosystem productivity and herbivore diet

Herbivory can have contrasted impacts on soil microbes and nutrient cycling, which has stimulated the development of conceptual frameworks exploring the links between below- and aboveground processes. The "productivity model" predicts that herbivores stimulate microbial activities and accelerate nutrient mineralization in productive ecosystems, while they have an opposite effect in less productive ecosystems. In parallel, the "diet model" predicts that herbivores feeding on conservative plants accelerate nutrient cycling while those feeding on exploitative plants decelerate nutrient cycling, due to changes in litter inputs. Since these two frameworks can lead to conflicting predictions in some cases, experimental evidence combining herbivore diet and productivity is required. During two consecutive years, we conducted an experiment controlling the presence of three grasshopper species consuming either grasses, forbs or both in twelve natural and managed alpine grasslands of contrasted productivities. In order to assess the effects of herbivory on soil microbes, we measured their enzymatic activities, their biomass and the soil potential nitrogen mineralization (PNM). Soil and vegetation characteristics were also determined in order to test if they modulated the effects of herbivory on microbes. Contrary to the predictions of the diet model, the effects of herbivory on microbial characteristics did not depend on the herbivores diet but relied on ecosystem productivity. The most productive sites were characterized by exploitative plant species which depleted N resources in the soil, and by microbes producing relatively few extracellular enzymes, leading to a lower PNM. Herbivory increased microbial biomass and decreased the production of extracellular enzymes in those sites, possibly through the stimulation of root exudates produced by exploitative species. The least productive sites were characterized by conservative plants, which led to the sequestration of soil C, and by microbes having a resource acquisition strategy (more extracellular enzymes, higher PNM). Herbivory decreased microbial biomass and increased the production of extracellular enzymes in those sites. This pattern can be explained by the loss of carbon associated with insect respiration, which increases the need for microbes to acquire resources and by a lower production of root exudates by conservative species. Therefore, the effects of two years of herbivory on soil microbes were at odds with the productivity model, which focuses instead on longer term effects corresponding to herbivory-induced changes in plant species composition. This highlights the multidimensional feature of the impacts of herbivory on ecosystem functioning, both in space and time.

opencc-zeroJul 2022View details →

opencc-by-4.0Jul 2022View details →

Experimental data collected during first-phase testing of the Ground CO2 Mapper

The various Excel files included in this dataset report data from tests performed to assess the technical capabilities of the Ground CO2 Mapper, a newly developed tool that can be used to help reduce uncertainty in the mapping of geological or anthropogenic CO2 leakage from the ground surface. These files include data from a number of laboratory experiments as well as tests performed at a controlled release site and a natural site where geological CO2 is released over a large area. This dataset was used to create the various figures presented in the article "Development and testing of a rapid, sensitive, high-resolution tool to improve mapping of CO2 leakage at the ground surface" by Graziani, Beaubien, Ciotoli and Bigi to be published in Applied Geochemistry.

opencc-by-4.0Aug 2022View details →

Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Winter 2019

This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Winter 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based.

opencc-by-4.0Aug 2022View details →

Crystal size and texture data of sea ice from the Antarctic Marginal Ice Zone collected in Spring 2019

This dataset details the crystal size and texture data from the sea ice cores collected during the SCALE Spring 2019 voyage to the Antarctic Marginal Ice Zone. Each sample collected has a series of accompanying photograph figures from which the crystal size and texture are based.

Statistical data collected in the case studies of the SPOT report - dataset

Statistical data was collected for fifteen case studies in the context of the SPOT project, funded by the European Commission within the framework programme Horizon 2020.

Data collection for article "Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar"

This dataset contains supply, demand, and flow maps from nine ecosystem service models (as layer files in .tif format) underlying the publication "Regional scale mapping of ecosystem services supply, demand, flow and mismatches in Southern Myanmar".

Data collection for article "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar"

This dataset contains 46 transcripts from semi-structured interviews and focus group discussions. An overview of the interviews is additionally provided, as well as information on the encoding. These data underlie the publication "Local Perspectives on Ecosystem Service Trade-Offs in a Forest Frontier Landscape in Myanmar".

opencc-by-4.0Jul 2022View details →

SURCOM pH and temperature data collection registered at Cortegada Platform (Ria de Arousa - Spain) from 2020 to 2021

This dataset comprises the data recorded by the SURCOM production prototype deployed from 2020 to 2021 at Cortegada Platform (42º 37' 40" N, 8º 46' 57" W), located in the National Park of Atlantic Islands at Ria de Arousa, in the NW of Spain. The measurements were taken continuously with pH and temperature collected at a frecuency of 10.3 minutes-1. Real-time adquired data is displayed and can be also downloaded from the following web panel: <ul> <li><a href="https://co2.iim.csic.es/monitoring/d/surcom_cortegada/surcom-cortegada">https://co2.iim.csic.es/monitoring/d/surcom_cortegada/surcom-cortegada</a></li> </ul> These results have been obtained thanks to the support of <a href="http://pti-waterios.csic.es/">CSIC PTI WATER:iOS</a> and are, therefore, a contribution to its efforts.

Biodiversity data collected by volunteers from NaturTjek 2015-2020

This .csv file contains all observation made by volunteers between 2015 and 2020 as part of the Danish large-scale citizen science project: "NaturTjek" or "Biodiversitet Nu". Each line represents an observation made by a volunteer profile and contains information on the species, the time, the location and (anonymized) informaiton on the recorder (i.e. and ID number). Columns containing 1) the username, 2) the last name and 3) the birth year of the volunteers have been removed. In addition to the information collected as part of the original species observation, the file also contains information on selected geo-spatial attributed connected to the spatial location of the observation and associated post-collection.

opencc-by-4.0Oct 2022View details →

C-RIDGE: Indoor CO2 Data Collection System for Large Venues Based on Prior Knowledge

This CO2 of C-RIDGE system dataset contains the high spatial and temporal resolution of the CO2 measures with the corresponding timestamp  of static wireless sensors.  45 sensors are densely deployed on the stand in the venue. The id and relative positions of sensors  are shown in device message. The sampling rate is adaptively adjusted according to the competition schedule.  The sampling interval is 5 minutes during the competition and 15 minutes otherwise. Please refer to  the description of the experimental setup in the data descriptor paper. In the process of data collection, the data cleaning process is performed  to remove  and calibrate outliers and abnormal trend data. The script of data cleaning algorithm is  provided in this repository. For details about the data cleaning process, please refer to the script in  this repository and data descriptor paper. The dataset in this repository is processed version. The raw dataset is not included in this repository. Data is stored as CSV file. Each device is numbered in order of placement. There are 45 sensors in total, 1 to 45 in the csv file are sensor numbers, timestamp as the China Standard Time (GMT+8), Each timestamp  corresponds to 45 CO2 concentration data from different sensors. To access the dataset, any programming language that can access the CSV file is appropriate. Users can  also directly open the CSV file. To successfully execute script files, Pycharm with Python 3.0 is required.

opencc-by-4.0Dec 2022View details →

Seawater temperature data from Gando Bay (Gran Canaria, 25 and 40m depth) and Playa Chica (Lanzarote, 80m depth) in the Canary islands, collected using HOBO temperature loggers.

Seawater temperature data collected using HOBO temperature loggers at three sites in the Canary Islands. Temperature data loggers were attached to 50 cm-long metal stakes partially buried into the seabed (Hobo data-logger Pendant Temp-Light, Onset Computer Corporation, USA), at 25 m and 40 m in Gando Bay (Gran Canaria; 27°55'56.1"N 15°21'11.0"W) and at 80 m in Playa Chica (Lanzarote; 28°55'04.7"N 13°40'11.8"W). - At 25 m, loggers were set up to record measurements every 2 hours, from October 9th, 2019, to June 3rd, 2020 (one logger, one dataset), and then every 15 minutes from June 3rd, 2020, to October 7th, 2021 (one logger, one dataset). - At 40 m, one logger was set up to take a measurement every 5 minutes (July 12th to August 25th, 2017, and September 21st to October 10th, 2018) (two loggers, two datasets). - At 80 m, one logger was set up to take a measurement every 4 hours, from January 10th to February 17th, 2021 (one logger, one dataset), and every 15 minutes from February 17th to October 19th, 2021 (one logger, one dataset).