Find research datasets worth reusing

opencc-by-4.0Jun 2022View details →

Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water - Dataset

This database includes the test data used to produce the results for the following article: Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water  by S. Seshan, D. Vries, M. Zandvoort, A. W. C. van der Helm, J. Poinapen, Smart Water - WaterAge Magazine, February 16-23

opencc-by-4.0Sep 2022View details →

Increased Central European forest mortality explained by higher harvest rates driven by enhanced productivity

# Increased Central European forest mortality explained by higher harvest rates driven by enhanced productivity ## Author Marieke Scheel, Lund University, Sweden, marieke.scheel@gmail.com ## Description Data underlying analysis in: Marieke Scheel, Mats Lindeskog, Benjamin Smith, Susanne Suvanto, Thomas A. M. Pugh Increased Central European forest mortality explained by higher harvest rates driven by enhanced productivity Scripts underlying analysis: https://github.com/mariekesche/harvest_driven_canopy_mortality Folder: harvest_checks - NFI_Germany.txt, National Forest Index data from Germany as difference between inventories in 200-2003 and 2011-2013, values are given as fraction, n: number of NFI plots in a grid cell, HARVEST_ALL: clear-cut harvest, HARVEST_PARTIAL: thinning harvest, NATDEAD: natural dead (not harvested) Folder: manag_climfix (S_man,clim) - cflux_forest_rel.txt, Net Primary Production (NPP) values of forests in kg [C]/ m^2 year (column 4) - crownloss.txt, m^2 of crown/m^2 of ground lost per year - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year split into DBH classes Folder: manag_co2fix (S_man,CO2) - cflux_forest_rel.txt, Net Primary Production (NPP) values of forests in kg [C]/ m^2 year (column 4) - crownloss.txt, m^2 of crown/m^2 of ground lost per year - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year split into DBH classes Folder: manag_ndepfix (S_man,N) - cflux_forest_rel.txt, Net Primary Production (NPP) values of forests in kg [C]/ m^2 year (column 4) - crownloss.txt, m^2 of crown/m^2 of ground lost per year - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year split into DBH classes Folder: manag_nofix (S_man) - cflux_forest_rel.txt, Net Primary Production (NPP) values of forests in kg [C]/ m^2 year (column 4) - closs.txt, biomass loss in kg [C]/m^2 year split into DBH classes - closs_harv.txt, biomass loss due to harvest in kg [C]/m^2 year split into DBH classes - cpool_forest_rel.txt, biomass of forests in kg [C]/m^2 year - crownloss.txt, m^2 of crown/m^2 of ground lost per year - crownloss_age.txt, m^2 of crown/m^2 of ground lost per year due to age - crownloss_dist.txt, m^2 of crown/m^2 of ground lost per year due to disturbance - crownloss_fire.txt, m^2 of crown/m^2 of ground lost per year due to fire disturbance - crownloss_greff.txt, m^2 of crown/m^2 of ground lost per year due to growth efficiency - crownloss_harv.txt, m^2 of crown/m^2 of ground lost per year due to harvest - crownloss_other.txt, m^2 of crown/m^2 of ground lost per year due to other reasons - crownloss_thin.txt, m^2 of crown/m^2 of ground lost per year due to natural thinning - diam_cmass_wood.txt, wooden biomass in kg [C]/m^2 year split into DBH classes - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year split into DBH classes - diam_dens.txt, total number of trees/m^2 year split into DBH classes - stemloss.txt, number of trees/m^2 year lost in respective cells - stemloss_harv.txt, number of trees/m^2 year lost in respective cells due to harvest Folder: manag_nothin (S_nothin) - cflux_forest_rel.txt, Net Primary Production (NPP) values of forests in kg [C]/ m^2 year (column 4) - crownloss.txt, m^2 of crown/m^2 of ground lost per year - diam_cmass_wood.txt, wooden biomass in kg [C]/m^2 year split into DBH classes - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year - lai.txt, leaf area index (LAI) for simulated species and plant functional types (PFTs) Folder: PNV (S_PNV) - cflux.txt, Net Primary Production (NPP) values in kg [C]/ m^2 year (column 4) - crownloss.txt, m^2 of crown/m^2 of ground lost per year - crownloss_age.txt, m^2 of crown/m^2 of ground lost per year due to age - crownloss_dist.txt, m^2 of crown/m^2 of ground lost per year due to disturbance - crownloss_fire.txt, m^2 of crown/m^2 of ground lost per year due to fire disturbance - crownloss_greff.txt, m^2 of crown/m^2 of ground lost per year due to growth efficiency - crownloss_other.txt, m^2 of crown/m^2 of ground lost per year due to other reasons - crownloss_thin.txt, m^2 of crown/m^2 of ground lost per year due to natural thinning - diam_cmass_wood.txt, wooden biomass in kg [C]/m^2 year split into DBH classes - diam_crownarea.txt, total m^2 of crown/m^2 of ground per year split into DBH classes Folder: dependencies - gridlist.txt, coordinates of 0.5°x0.5° grid cells that simulations were run on; longitude, latitude, FAO number, size in m^2 - landcover_eu.txt, input file LPJ-GUESS model showing changes from natural to forest (harvest); longitude, latitude, year, natural, forest, barren ## Dependencies - canopy mortality rates published in "Senf C Pflugmacher D Zhiqiang Y Sebald J Knorn J Neumann M Hostert P and Seidl R 2018 Canopy mortality has doubled in Europe’s temperate forests over the last three decades Nature Communications 9 4978  10.1038/s41467-018-07539-6" - harvest removal rates published in "Ceccherini G Duveiller G Grassi G Lemoine G Avitabile V Pilli R and Cescatti A 2020   Abrupt increase in harvested forest area over Europe after 2015 Nature 583 72-77 10.1038/s41586-020-2438-y" - FAO forest removal area data data retrieved from https://www.fao.org/faostat/en/#data/GF (24.07.2021), modified for overview (1st column: Area Code, 2nd column: Year, 3rd column: Area in 1000 ha)

opencc-by-4.0Jan 2024View details →

Panchromatic Light-Harvesting Antenna by Supramolecular Exciton Band Engineering for Heteromeric Dye Foldamer

Data to report <a href="https://doi.org/10.1016/j.chempr.2024.05.023">https://doi.org/10.1016/j.chempr.2024.05.023</a>: Natural photosystems accomplish panchromatic light absorption by different chromophores that are non-covalently embedded in protein matrices and mostly lack close dye-dye interactions. In this article, we introduce a light-harvesting (LH) system established by four different merocyanine dyes that are co-facially stacked by dipole-dipole interactions and a peptide-like backbone in a folded heteromer architecture to afford a panchromatic absorption band consisting of several strongly coupled exciton states. This exciton manifold allows for ultrafast and efficient energy transport in the artificial antenna. Furthermore, due to the tight stacking of the dyes in their folded state, non-radiative processes are slowed down, thereby increasing the lifetime of the excited state and the fluorescence quantum yield from <3% for the individual dyes up to 38% for the folda-heteromer. Together with the panchromatic absorption, this leads to a substantial improvement of the fluorescence brightness upon broadband excitation in comparison with its constituent chromophores.

opencc-by-4.0Sep 2018View details →

Resource Metadata Harvested from Government and Research Open Data Portals

This dataset consists of resource metadata harvested from the APIs of hundreds of government and research data portals from all over the world. This dataset was harvested between the 13th and 15th of September 2018. The metadata harvested from these portals was translated to a single metadata format (see metadata_format.odt). An overview of all harvested domains is given in portal_list.txt. The harvested data is divided into five gzipped json-lines files, based on the ‘type’ of the resource that is derived from the data of the APIs: <ul> <li>dataset_metadata.jsonl.gz: Resources classified as a Dataset, or subsets of dataset (e.g. Dataset:Image and Dataset:Audio) [6 246 250 resources]</li> <li>document_metadata.jsonl.gz: Resources classified as a Document, or subset of document (e.g. Document:Paper:Conference and Document:Book) [15 626 541 resources]</li> <li>software_metadata.jsonl.gz: Resources classified as Sofware (including Software:Model) [42 036 resources]</li> <li>service_metadata.jsonl.gz: Resources classified as a service (e.g. WMS, APIs) [1257 resources]</li> <li>other_metadata.jsonl.gz: Resources of which the ‘type’ could not be determined from the data the API returned. This set still contains many datasets [1 502 979 resources]</li> </ul>

opencc-by-4.0Dec 2017View details →

Dataset for publication: Compound parabolic collector solar disinfection system for the treatment of harvested rainwater, Strauss et al. (2018). DOI:10.1039/c8ew00152a.

Datasets used for the publication: Strauss A, Reyneke B, Waso M and Khan W (2018) Compound parabolic collector solar disinfection system for the treatment of harvested rainwater. Environ Sci: Water Res. Technol. DOI: 10.1039/c8ew00152a. Please cite the article when using the datasets. Available datasets: <ul> <li>WATERSPOUTT_688928_US_Environmental Conditions_01_1.0.0: Dataset describing the environmental conditions on sampling days while assessing a SODIS-CPC reactor for the treatment of roof-harvested rainwater.</li> <li>WATERSPOUTT_688928_US_SODIS-CPC Schematics_01_1.0.0: Schematic diagrams showing the design of the SODIS-CPC reactor.</li> <li>WATERSPOUTT_688928_US_SODIS-CPC-Microbiology_01_1.0.0: Dataset describing the results obtained while monitoring the microbiological quality of the roof-harvested rainwater before and after treatment with the SODIS-CPC reactor.</li> <li>WATERSPOUTT_688928_US_SODIS-CPC-Physicochemical_01_1.0.0: Dataset describing the physicochemical quality of the roof-harvested rainwater before and after treatment with the SODIS-CPC reactor.</li> <li>WATERSPOUTT_688928_US_UV-transmittance_01_1.0.0: Dataset describing the UV transmittance of polymethyl methacrylate and borosilicate glass.</li> </ul>

opencc-by-4.0Dec 2017View details →

EMA-amplicon-based taxonomic characterisation of the viable bacterial community present in untreated and SODIS treated roof-harvested rainwater

Dataset for publication: EMA-amplicon-based taxonomic characterisation of the viable bacterial community present in untreated and SODIS treated roof-harvested rainwater, Strauss et al. (2018). DOI: 10.1039/c8ew00613j.

opencc-by-4.0Sep 2024View details →

Experimental data for nonlinear dynamics and energy harvesting of bistable cantilever shells (grant 2021/41/B/ST8/03190 from the National Science Centre, Poland)

An experimental tests on a cantilever composite bistable shell with a piezoelectric patch is reported. The shell is characterized by two stable configurations. Periodic force is applied at the shell’s clamped side through an electrodynamic shaker and the dynamic response is measured through an embedded strain gauge. Selected dynamic regimes are recorded by performing excitation frequency and amplitude sweeps. The resonance scenarios around the two natural frequencies corresponding to the stable configurations show different softening behavior. The excitation amplitude threshold level for snap-through motion is identified. The thested thin-walled pseudo-conical shell has been made of carbon-epoxy composite prepreg tape (AS4-GP-12K_40gsm- 300mm-ThinPreg135EP). The composite single layer is characterized by unidirectional reinforcement, thickness 0.04 mm. The manufacturing standard samples for strength tests in the autoclave process reduces to about 0.038 mm.

opencc-by-4.0May 2023View details →

Dataset: Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan

Description: This version of the repository holds an updated dataset of the annual forest disturbance agents/stable land cover maps across Japan using Landsat time series data. This version covers the period for 1985-2023 (1985-2019 in the original dataset). Harvest, Conversion, Thinning, and Other disturbances are mapped as different disturbance agents. The maps cover the entire country of Japan, excluding several isolated islands. The maps are available in compressed GeoTIFF format in Albers Equal Area Conic projection. The maps can be browsed in <a href="https://dulvrq3317.users.earthengine.app/view/japan-harvest-year-1985-2023">Google Earth Engine Apps</a>. Citation: Shimizu, K. and Saito, H. (2021) Country-wide mapping of harvest areas and post-harvest forest recovery using Landsat time series data in Japan. International Journal of Applied Earth Observation and Geoinformation 104: 102555. <a href="https://doi.org/10.1016/j.jag.2021.102555">https://doi.org/10.1016/j.jag.2021.102555</a> Period: 1985 to 2023 annually Spatial resolution: 30m Projection: Albers Equal Area Conic Projection (Two standard parallels: 33N and 44N, Central Meridian: 135E)

opencc-by-4.0Dec 2022View details →

Soil gas concentration and flux data from two peatland forest harvesting experiments in Southern Finland

The dataset contains data analyzed in a scientific manuscript Peltoniemi et al., Soil CO2, CH4 and N2O concentrations and fluxes in peatland forests are associated with water table level - implications of selection harvesting on soil emissions, in review. The data was collected from two peatland forests. The sites Lettosuo (60.63° N, 23.95° E ) and Paroninkorpi (61.01°N, 24.75°E) locate in southern Finland, and they are fertile drained spruce mires. Both sites have unharvested control and selection harvested treatments. The dataset contains CO2, CH4, N2O and O2 concentrations analyzed by gas chromatograph from soil gas samples collected with silicon rubber tubes inserted into soil at different depths over the year 2018-2020. The dataset additionally contains soil gas flux measurements in 2020 with a portable gas analyzer. Air temperature and water table level were measured at both sites, rainfall in nearby meteorological stations, and soil redox potential at one of the sites (Paroninkorpi). More information about the research sites and data is available in the manuscript, and Laurila et al., 2020 (<a href="http://urn.fi/URN:ISBN:978-952-380-191-2">http://urn.fi/URN:ISBN:978-952-380-191-2</a>).

opencc-by-4.0Jan 2023View details →

Metal-organic frameworks as regeneration optimized sorbents for atmospheric water harvesting

Dataset for 'Metal-organic frameworks as regeneration optimized sorbents for atmospheric water harvesting' article published at Cell Reports Physical Science, <a href="https://doi.org/10.1016/j.xcrp.2023.101252">https://doi.org/10.1016/j.xcrp.2023.101252</a>. Code used for data analysis, visualization and kinetics modelling can be found at <a href="https://github.com/AndreyBezrukov/Water_Sorption_Kinetics">AndreyBezrukov/Water_Sorption_Kinetics (github.com)</a>

opencc-by-4.0Feb 2022View details →

Gridded 5 arcmin datasets for simultaneously farm-size-specific and crop-specific harvested areas in 56 countries

Summary: There are over 608 million farms around the world but they are not the same. We developed high spatial resolution maps telling where small and large farms were located and which crops were planted for 56 countries. We checked the reliability and have the confidence to use them for the country-level and global studies. Our maps will help more studies to easily measure how agriculture policies, water availabilities, and climate change affect small and large farms respectively. The code, source data, and the simultaneously farm-size- and crop-specific harvested area datasets, including the GAEZv4 crop map based dataset and SPAM2010 crop map based dataset, are open-access, free, and available, which can be found below. The resulting dataset is available in *.csv and *.nc (netCDF) for each crop and farming system. For each crop, farming system, and farm size, we provide the gridded harvested area in the coordinate Systems of EPSG:4326 - WGS 84. Gridded summaries over crops and farming systems are also available. ----------------------------------------------------------------------------------------------------------------------- How to cite this dataset: Su, H., Willaarts, B., Luna-Gonzalez, D., Krol, M.S. and Hogeboom, R.J., 2022. Gridded 5 arcmin datasets for simultaneously farm-size-specific and crop-specific harvested areas in 56 countries. Earth System Science Data, 14(9), pp.4397-4418. ----------------------------------------------------------------------------------------------------------------------- Update history: I am happy to receive any questions, comments, or potential collaboration on further dataset development. Please drop your email to Han Su (h.su@utwente.nl, han_su20@163.com) Version 1.03.1: Fix bugs in data format; Netcdf didn't show properly before in QGIS. Data underlying the three versions are the same. Version 1.02: New data summary, add Netcdf data format Version 1: Initial dataset for peer-review, CSV format only ----------------------------------------------------------------------------------------------------------------------- Note: please cite the original publications/sources if any data source based on which this dataset was developed is reused for your own study. SPAM2010:  Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps, Earth System Science Data, 12, 3545-3572, 10.5194/essd-12-3545-2020, 2020. GAEZv4: FAO and IIASA: Global Agro Ecological Zones version 4 (GAEZ v4), FAO UN, Rome, Italy, 2021 The dataset of Ricciardi et al.'s: Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B.: How much of the world's food do smallholders produce?, Global Food Security, 17, 64-72, 2018. The global dominant field size dataset: Lesiv, M., Laso Bayas, J. C., See, L., Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Kumar Sahariah, P., Vakolyuk, M., Blyshchyk, V., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I. U. H., Singha, K., Choudhury, S. B., Chetri, T., Malek, Z., Bungnamei, K., Saikia, A., Sahariah, D., Narzary, W., Danylo, O., Sturn, T., Karner, M., McCallum, I., Schepaschenko, D., Moltchanova, E., Fraisl, D., Moorthy, I., and Fritz, S.: Estimating the global distribution of field size using crowdsourcing, Glob Chang Biol, 25, 174-186, 10.1111/gcb.14492, 2019. GLC-Share: Latham, J., Cumani, R., Rosati, I., and Bloise, M.: Global land cover share (GLC-SHARE) database beta-release version 1.0-2014, FAO, Rome, Italy, 2014. CAAS-IFPRI cropland extent map: Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., Wei, Y., Chen, D., Yang, P., and Xue, B.: A cultivated planet in 2010 – Part 1: The global synergy cropland map, Earth System Science Data, 12, 1913-1928, 10.5194/essd-12-1913-2020, 2020.

opencc-by-4.0Jun 2023View details →

Seasonal controls override forest harvesting effects on the composition of dissolved organic matter mobilized from boreal forest soil organic horizons

Dataset comprised of nutrient fluxes (DOC, TDN, NH4, TDN and SRP), optical parameters related to DOM composition (SUVA, spectral slopes and slope ratio), pH, and other nutrient and elemental ratios for passive pan lysimeters installed across terrestrial sites in Pynn's Brook, Newfoundland.

opencc-by-4.0Oct 2023View details →

Confocal stacks from archaeological tools used for harvesting and threshing cereals

Series of confocal stacks obtained with SensoScan, using a S Neox 3D profilometer from Sensofar. Measured surfaces from a series of archaeological tools.

Harvest data including the shoot leaf area index, position in the canopy, and shoot and plant tissue area, count and mass for each shoot harvested at three levels in the canopy from 19 1m x 1m plots near LTER Shrub plots, Toolik Field Station, AK 2012.

Leaf and plant tissue area and mass from shoots harvested from 19 1m x 1m point frame plots near Toolik Field Station, AK during the summer of 2012. Six shoots were harvested from each plot, two from each canopy layer: upper, middle, and low. Each shoot came from a different plant, and the species selected was based on the species dominant in that canopy layer. The leaf area and mass were used to correct A/Ci and light response curves taken on each shoot [data published separately]. At the time of collection, the location relative to the point frame, height, and leaf area index (LAI) of each shoot was measured; those data are included here.

A/Ci curve parameters measured from shoots harvested at three levels in the canopy from 19 1m x 1m plots dominated by S. pulchra and B. nana shrubs near LTER Shrub plots at Toolik Field Station, AK the summer of 2012.

A/Ci curve parameters and modeled carboxylation, electron transport, and triose-phosphate utilization efficiency rates from shoots clipped from low, mid, and the top of tall, shrub canopies dominated either by Salix pulchra or Betula nana species. Six shoots were harvested from each 1m x 1m plot, two from each level in the canopy. These plots were located near the LTER shrub plots at the Toolik Field Staion, AK for point frame measurements, and all measurements took place the summer of 2012. The species harvested were chosen based on the species present in each plot, thus the species from each segment of the canopy may not be the same. Additional information about each shoot can be found in the "PF_ShootLightcurve_Data" and "PF_ShootHarvest_Data" pages, regarding the light response curves, area, mass, leaf area index, and leaf nitrogen content of each shoot. The file "PF_PercentCover" contains the species cover data for each plot.

Percent carbon and nitrogen of leaves from shoots harvested at three levels in the canopy from 19 plots dominated by S. pulchra and B. nana shrubs near LTER Shrub plots at Toolik Field Station, AK the summer of 2012.

The percent carbon and nitrogen from leaves of shoots harvested from 1m x 1m point frame plots the summer of 2012 at Toolik Lake, Alaska. were measured on a ThermoScientific 2000. For each point frame plot, six shoots were harvested from upper, middle, and low sections of the canopy. The photosynthetic capacity of each shoot was analyzed with a LiCor 6400 infra-red gas analyzer by being run through a light response and A/Ci curve. The area of the shoot as viewed from the stop of the LiCor opaque, confer chamber ("silhouette area") as well as the area of each shoot organ type was measured. These data are published separately, though methods are described below.

Light response curves measured from shoots harvested at three levels in the canopy from 19 1m x 1m plots dominated by S. pulchra or B. nana shrubs near LTER Shrub plots at Toolik Field Station, AK the summer of 2012.

This dataset contains light response curves and modeled light curve parameters from shoots clipped from low, mid, and the top parts of tall, shrub canopies dominated either by Salix pulchra or Betula nana. Six shoots were harvested from each 1m x 1m plot, two from each level in the canopy in plots located near the LTER shrub plots at Toolik Field Station, AK the summer of 2012. The species harvested were chosen based on the species present in each plot, thus the species from each segment of the canopy may not be the same. Additional information about each shoot can be found in the "2012_GS_ITEX_PF_ShootA-CiData" and "2012_GS_ITEX_PF_ShootHarvestData" pages, regarding the A-Ci response, area, mass, leaf area index, and leaf nitrogen content of each shoot. The file "2012_GS_ITEX_PercentCover" contains the species cover data for each plot.

Below ground soil carbon and nitrogen concentrations in quadrats harvested from the Anaktuvuk River Fire site in 2011

Summarized below ground soil carbon and nitrogen concentrations measured in quadrats at three sites at and around the Anaktuvuk River Burn: severely burned, moderately burned and unburned. This data corresponds with the aboveground biomass and root biomass data files: 2011ARF_AbvgroundBiomassCN, 2011ARF_RootBiomassCN_byDepth, 2011ARF_RootBiomassCN_byQuad, 2011ARF_SoilCN_byDepth.

openOpenMar 2017View details →

ARISA profiles for root-associated fungal communities associated with seedlings that established after fire and adjacent shrubs harvested at Finger Mountain and Nome Creek in 2009

This dataset contains the ARISA profiles of the root-associated fungal communities associated with seedlings that established after the 2004 fires and the closest resprouting shrub.