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Research data keyboard_double_arrow_right Dataset 2021Publisher:figshare Authors: Marlis Wullenkord (8659635);These are two sets of data that I collected in 2018 and 2019 in Germany. They assess basic psychological need satisfaction, various indicators of pro-environmentalism, and self-protective strategies people commonly use when facing the threat of climate change. The corresponding study (Wullenkord, submitted) investigated relations between basic psychological need satisfaction and climate-relevant defensive self-protection.
figshare arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert figshare arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2015Publisher:Dryad Digital Repository Myers, Mark C.; Mason, James T.; Hoksch, Benjamin J.; Cambardella, Cynthia A.; Pfrimmer, Jarrett D.;Data from Myers, M.C., J.T. Mason, B.J. Hoksch, C.A. Cambardella, J.D. Pfrimmer (2015) Birds and butterflies respond to soil-induced habitat heterogeneity in experimental plantings of tallgrass prairie species managed as agroenergy crops in Iowa, USA. Journal of Applied Ecology. This Excel file includes separate sheets containing the soil, vegetation, and bird and butterfly assemblage data analyzed in the paper. Four-letter column labels for species abundances are derived from the first two letters of the genus and species names (e.g. Chondestes grammacus = "chgr"). Species lists are available from the online Supporting Information. Please contact Mark Myers (mark.myers@uni.edu) with inquiries.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2015Publisher:PANGAEA Authors: Opreanu, Priscila-Ana;Dataset containing meiobenthos data for samples collected during the September 2008 Sesame Cruise in the North-West Black Sea on board of the Romanian R/V Mare Nigrum. Meiobenthos samples were collected in 5 stations, using a multicorer MARK II-400. The dataset includes 5 samples analysed for meiobenthos species composition, abundance and biomass.The entire washed sample was analyzed under the binocular stereomicroscope. Meiobenthic species were identified and enumerated; some meiobenthic species were identified and enumerated only at higher taxonomic level. Taxonomic identification was done at GEOECOMAR.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 United StatesPublisher:U.S. Geological Survey Croke, Mary R; Hackley, Paul C; Jubb, Aaron M; Burruss, Robert C; Beaven, Amy E;doi: 10.5066/p9gdb7f0
Fluorescence spectroscopy via confocal laser scanning microscopy (CLSM) was used to analyze ancient sedimentary organic matter, including Tasmanites microfossils in Devonian shale and Gloecapsomorpha prisca (G. prisca) in Ordovician kukersite from North American basins. We examined fluorescence emission as a function of excitation laser wavelength, sample orientation, and with respect to location within individual organic entities and along organic matter chemical transects. Results from spectral scans of the same field of view in Tasmanites with different laser lines showed progressive red-shift in emission maxima with longer excitation wavelengths. This result indicates steady-state Tasmanites fluorescence emission is an overlapping combination of emission from multiple distinct fluorophore functions. Stokes shift decreased with increasing excitation wavelength, further suggesting the presence of multiple fluorophore functions with different S1 -> S0 transition energies. This observation also indicates that at longer excitation wavelengths, less absorbed light energy is dissipated via collisional transfer than at shorter excitation wavelengths and may suggest fewer polar functions are preferentially absorbing. Confirming earlier results, emission spectra observed from high fluorescence intensity regions (fold apices) in individual Tasmanites are blue-shifted relative to emission from other locations in the same microfossil. We suggest high intensity emission is from photoselective alignment of polarized excitation with the fluorophore absorption and emission transition moment. The blue shift observed in regions of high intensity emission may be due to relative absence of polar species, e.g., bridging ether or ester functions, although this could not be confirmed with preliminary time-of-flight secondary ion mass spectrometry (TOF-SIMS) analysis. Tasmanites occurring in consolidated sediments are flattened from original spherical morphology and, in optical microscopy, this burial deformation results in generally parallel extinction (strain-influenced) and positive elongation. The deformation also induces fluorescence anisotropy observed as variations in emission wavelength when samples are measured parallel to bedding, whereas this effect is absent in bedding-normal view. Evaluation of fluorescence emission on compositional transects from G. prisca-rich source layers into adjacent reservoir layers indicates decrease in fluorescence intensity and spectral red-shift (increase in full-width half-maximum with increasing red portion of the half-width). These results may suggest an increase in fluorescence quenching across the source-to-reservoir transition zone, consistent with an increase in aromaticity following petroleum expulsion and migration. These observations are supported by increasing reflectance values measured across similar micro-scale transects. Our results highlight the applicability of CLSM as a broad and under-utilized approach for the characterization of sedimentary organic matter and are discussed with perspective toward petroleum processes and thermal indices research.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:SciELO journals Authors: Ana Paula Staben Pruchniak (10423459); Graziella dos Santos Portes Silva (10423462); Liliane Schier de Lima (10423465); Sueli Pércio Quináia (4986440);Abstract Activated carbon is commonly used as a material for contaminant-adsorption processes in aqueous systems. However, its use is more restricted to charcoal than to coal, for the most part, in view of the fact of the higher cost (~ 40%) if the mineral is a fossil fuel which needs to be extracted from the earth by mining. For this reason, the peach stone that comes from alimentary industrial tailings can be a good choice for the separation of pollutants from aqueous suspensions and other soluble substances. The purpose of this research was the development of a low-cost filter, using stones to remove atrazine from water. Appraisal and characterization studies were performed along with batch experiments to investigate dosing effects of the activated carbon, atrazine concentration, contact time, and adsorption pH on removal procedures. From the results of the experiment, an excellent removal of the analyte in question was observed under conditions that can be considered as close as possible to the environment, such as pH = 6.5, room temperature and 10 minutes of agitation time, always choosing the best alternative with the lowest cost of energy and time. Batch system application has been recommended as versatile for utilization in seasonal problems such as pesticide contamination.
figshare arrow_drop_down Smithsonian figshareDataset . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert figshare arrow_drop_down Smithsonian figshareDataset . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Smithsonian Tropical Research Institute Authors: Paton, Steven;doi: 10.25573/data.10059455.v28 , 10.25573/data.10059455.v6 , 10.25573/data.10059455.v30 , 10.25573/data.10059455.v34 , 10.25573/data.10059455.v45 , 10.25573/data.10059455.v33 , 10.25573/data.10059455 , 10.25573/data.10059455.v13 , 10.25573/data.10059455.v9 , 10.25573/data.10059455.v31 , 10.25573/data.10059455.v22 , 10.25573/data.10059455.v14 , 10.25573/data.10059455.v27 , 10.25573/data.10059455.v11 , 10.25573/data.10059455.v44 , 10.25573/data.10059455.v15 , 10.25573/data.10059455.v38 , 10.25573/data.10059455.v17 , 10.25573/data.10059455.v16 , 10.25573/data.10059455.v2 , 10.25573/data.10059455.v29 , 10.25573/data.10059455.v12 , 10.25573/data.10059455.v32 , 10.25573/data.10059455.v39 , 10.25573/data.10059455.v26 , 10.25573/data.10059455.v19 , 10.25573/data.10059455.v41 , 10.25573/data.10059455.v25 , 10.25573/data.10059455.v23 , 10.25573/data.10059455.v10 , 10.25573/data.10059455.v20 , 10.25573/data.10059455.v21 , 10.25573/data.10059455.v24 , 10.25573/data.10059455.v1 , 10.25573/data.10059455.v8 , 10.25573/data.10059455.v3 , 10.25573/data.10059455.v5 , 10.25573/data.10059455.v46 , 10.25573/data.10059455.v4 , 10.25573/data.10059455.v42 , 10.25573/data.10059455.v18 , 10.25573/data.10059455.v43 , 10.25573/data.10059455.v40 , 10.25573/data.10059455.v7
doi: 10.25573/data.10059455.v28 , 10.25573/data.10059455.v6 , 10.25573/data.10059455.v30 , 10.25573/data.10059455.v34 , 10.25573/data.10059455.v45 , 10.25573/data.10059455.v33 , 10.25573/data.10059455 , 10.25573/data.10059455.v13 , 10.25573/data.10059455.v9 , 10.25573/data.10059455.v31 , 10.25573/data.10059455.v22 , 10.25573/data.10059455.v14 , 10.25573/data.10059455.v27 , 10.25573/data.10059455.v11 , 10.25573/data.10059455.v44 , 10.25573/data.10059455.v15 , 10.25573/data.10059455.v38 , 10.25573/data.10059455.v17 , 10.25573/data.10059455.v16 , 10.25573/data.10059455.v2 , 10.25573/data.10059455.v29 , 10.25573/data.10059455.v12 , 10.25573/data.10059455.v32 , 10.25573/data.10059455.v39 , 10.25573/data.10059455.v26 , 10.25573/data.10059455.v19 , 10.25573/data.10059455.v41 , 10.25573/data.10059455.v25 , 10.25573/data.10059455.v23 , 10.25573/data.10059455.v10 , 10.25573/data.10059455.v20 , 10.25573/data.10059455.v21 , 10.25573/data.10059455.v24 , 10.25573/data.10059455.v1 , 10.25573/data.10059455.v8 , 10.25573/data.10059455.v3 , 10.25573/data.10059455.v5 , 10.25573/data.10059455.v46 , 10.25573/data.10059455.v4 , 10.25573/data.10059455.v42 , 10.25573/data.10059455.v18 , 10.25573/data.10059455.v43 , 10.25573/data.10059455.v40 , 10.25573/data.10059455.v7
Monthly and daily summary from Barro Colorado Island (BCI). Data organized in horizontal format for seasonal and inter-year comparisonsLocation 9°9'42.36"N, 79°50'15.67"WParameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting datesLutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48mThe data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy.The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.
https://dx.doi.org/1... arrow_drop_down Smithsonian figshareDataset . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert https://dx.doi.org/1... arrow_drop_down Smithsonian figshareDataset . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Zweifel, Roman; Sterck, Frank J; Braun, Sabine; Buchmann, Nina; Eugster, Werner; Gessler, Arthur; Haeni, Matthias; Peters, Richard L; Walthert, Lorenz; Wilhelm, Micah; Ziemínska, Kasia; Etzold, Sophia;The timing of diel stem growth of mature forest trees is still largely unknown, as empirical data with high temporal resolution have not been available so far. Consequently, the effects of day-night conditions on tree growth remained uncertain. Here we present the first comprehensive field study of hourly-resolved radial stem growth of seven temperate tree species, based on 57 million underlying data points over a period of up to 8 years. We show that trees grow mainly at night, with a peak after midnight, when the vapour pressure deficit (VPD) is among the lowest. A high VPD strictly limits radial stem growth and allows little growth during daylight hours, except in the early morning. Surprisingly, trees also grow in moderately dry soil when the VPD is low. Species-specific differences in diel growth dynamics show that species able to grow earlier during the night are associated with the highest number of hours with growth per year and the largest annual growth increment. We conclude that species with the ability to overcome daily water deficits faster have greater growth potential. Furthermore, we conclude that growth is more sensitive than carbon uptake to dry air, as growth stops before stomata are known to close.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL) Authors: Mooney, Meghan; Waechter, Katy;doi: 10.25984/1804725
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded at the AWS S3 explorer page. The GitHub documentation page provides a description of the dataset with methods and assumptions. The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors: Metsaranta, Juha; Mamet, Steven; Maillet, Jay; Barr, Alan;These datasets are associated with the following paper: Metsaranta, J.M., Mamet, S.D., Maillett, J., Barr, A.G. (2021). Comparison of tree-ring and eddy covariance derived annual ecosystem production estimates for jack pine and trembling aspen forests in Saskatchewan, Canada. Agricultural and Forest Meteorology. There are two files: (1) CBMOutput.zip. This contains the hybrid biometric modelled ecosystem C stock and flux estimates. (2) StandReconstructionData.zip. This contains the field measurement data and the tree level biomass and wood volume data for the Stand Reconstruction plots used to develop the hybrid biometric modelled estimates. The data are formatted as .csv files, and an associated Microsoft Excel spreadsheet explains the data columns and provides information on the associated units of measure.
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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visibility 24visibility views 24 download downloads 21 Powered bymore_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:PANGAEA Fischer, Andrea; Fickert, Thomas; Schwaizer, Gabriele; Patzelt, Gernot; Groß, Günther;Monitoring of plant succession in glacier forelands so far has been restricted to field sampling. In this study, in situ vegetation sampling along a chronosequence between Little Ice Age (LIA) maximum extent and the recent glacier terminus at Jamtalferner/Silvretta (ferner is a Tyrolian toponym for glacier) is compared to time series of the Normalized Difference Vegetation Index (NDVI) calculated from 13 Landsat scenes (1985-2016). The glacier terminus positions at 16 dates between the LIA maximum and 2015 were analysed from historical maps, orthophotos and LiDAR images and used for site age determination. We sampled plots of different time since deglaciation, from very recent to approx. 150 years: after 100 years, roughly 80% of the ground is covered by plants and ground cover did not increase essentially thereafter. Species number increases from 10-20 species on young sites to 40-50 species after 100 years. The NDVI increases for all plots between 1985 and 2016, from a mean of 0.11 for 1985-1991 to 0.2 in 2009 and 0.27 in 2016. For the plots deglaciated between 1 and about 150 years, the NDVI increases with the time of exposure. As the increase in ground cover is clearly reproduced by the NDVI (R² ground cover/NDVI 0.84) - even for sparsely vegetated areas -, we see a high potential of satellite-borne NDVI to perform regional characterizations of glacier forelands for hydrological, ecological and hazard management related applications. This data collection comprises the galcier outlines, NDVIs and chronosequencing locations with diversity and ground cover data.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Dataset 2021Publisher:figshare Authors: Marlis Wullenkord (8659635);These are two sets of data that I collected in 2018 and 2019 in Germany. They assess basic psychological need satisfaction, various indicators of pro-environmentalism, and self-protective strategies people commonly use when facing the threat of climate change. The corresponding study (Wullenkord, submitted) investigated relations between basic psychological need satisfaction and climate-relevant defensive self-protection.
figshare arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert figshare arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2015Publisher:Dryad Digital Repository Myers, Mark C.; Mason, James T.; Hoksch, Benjamin J.; Cambardella, Cynthia A.; Pfrimmer, Jarrett D.;Data from Myers, M.C., J.T. Mason, B.J. Hoksch, C.A. Cambardella, J.D. Pfrimmer (2015) Birds and butterflies respond to soil-induced habitat heterogeneity in experimental plantings of tallgrass prairie species managed as agroenergy crops in Iowa, USA. Journal of Applied Ecology. This Excel file includes separate sheets containing the soil, vegetation, and bird and butterfly assemblage data analyzed in the paper. Four-letter column labels for species abundances are derived from the first two letters of the genus and species names (e.g. Chondestes grammacus = "chgr"). Species lists are available from the online Supporting Information. Please contact Mark Myers (mark.myers@uni.edu) with inquiries.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2015Publisher:PANGAEA Authors: Opreanu, Priscila-Ana;Dataset containing meiobenthos data for samples collected during the September 2008 Sesame Cruise in the North-West Black Sea on board of the Romanian R/V Mare Nigrum. Meiobenthos samples were collected in 5 stations, using a multicorer MARK II-400. The dataset includes 5 samples analysed for meiobenthos species composition, abundance and biomass.The entire washed sample was analyzed under the binocular stereomicroscope. Meiobenthic species were identified and enumerated; some meiobenthic species were identified and enumerated only at higher taxonomic level. Taxonomic identification was done at GEOECOMAR.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020 United StatesPublisher:U.S. Geological Survey Croke, Mary R; Hackley, Paul C; Jubb, Aaron M; Burruss, Robert C; Beaven, Amy E;doi: 10.5066/p9gdb7f0
Fluorescence spectroscopy via confocal laser scanning microscopy (CLSM) was used to analyze ancient sedimentary organic matter, including Tasmanites microfossils in Devonian shale and Gloecapsomorpha prisca (G. prisca) in Ordovician kukersite from North American basins. We examined fluorescence emission as a function of excitation laser wavelength, sample orientation, and with respect to location within individual organic entities and along organic matter chemical transects. Results from spectral scans of the same field of view in Tasmanites with different laser lines showed progressive red-shift in emission maxima with longer excitation wavelengths. This result indicates steady-state Tasmanites fluorescence emission is an overlapping combination of emission from multiple distinct fluorophore functions. Stokes shift decreased with increasing excitation wavelength, further suggesting the presence of multiple fluorophore functions with different S1 -> S0 transition energies. This observation also indicates that at longer excitation wavelengths, less absorbed light energy is dissipated via collisional transfer than at shorter excitation wavelengths and may suggest fewer polar functions are preferentially absorbing. Confirming earlier results, emission spectra observed from high fluorescence intensity regions (fold apices) in individual Tasmanites are blue-shifted relative to emission from other locations in the same microfossil. We suggest high intensity emission is from photoselective alignment of polarized excitation with the fluorophore absorption and emission transition moment. The blue shift observed in regions of high intensity emission may be due to relative absence of polar species, e.g., bridging ether or ester functions, although this could not be confirmed with preliminary time-of-flight secondary ion mass spectrometry (TOF-SIMS) analysis. Tasmanites occurring in consolidated sediments are flattened from original spherical morphology and, in optical microscopy, this burial deformation results in generally parallel extinction (strain-influenced) and positive elongation. The deformation also induces fluorescence anisotropy observed as variations in emission wavelength when samples are measured parallel to bedding, whereas this effect is absent in bedding-normal view. Evaluation of fluorescence emission on compositional transects from G. prisca-rich source layers into adjacent reservoir layers indicates decrease in fluorescence intensity and spectral red-shift (increase in full-width half-maximum with increasing red portion of the half-width). These results may suggest an increase in fluorescence quenching across the source-to-reservoir transition zone, consistent with an increase in aromaticity following petroleum expulsion and migration. These observations are supported by increasing reflectance values measured across similar micro-scale transects. Our results highlight the applicability of CLSM as a broad and under-utilized approach for the characterization of sedimentary organic matter and are discussed with perspective toward petroleum processes and thermal indices research.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:SciELO journals Authors: Ana Paula Staben Pruchniak (10423459); Graziella dos Santos Portes Silva (10423462); Liliane Schier de Lima (10423465); Sueli Pércio Quináia (4986440);Abstract Activated carbon is commonly used as a material for contaminant-adsorption processes in aqueous systems. However, its use is more restricted to charcoal than to coal, for the most part, in view of the fact of the higher cost (~ 40%) if the mineral is a fossil fuel which needs to be extracted from the earth by mining. For this reason, the peach stone that comes from alimentary industrial tailings can be a good choice for the separation of pollutants from aqueous suspensions and other soluble substances. The purpose of this research was the development of a low-cost filter, using stones to remove atrazine from water. Appraisal and characterization studies were performed along with batch experiments to investigate dosing effects of the activated carbon, atrazine concentration, contact time, and adsorption pH on removal procedures. From the results of the experiment, an excellent removal of the analyte in question was observed under conditions that can be considered as close as possible to the environment, such as pH = 6.5, room temperature and 10 minutes of agitation time, always choosing the best alternative with the lowest cost of energy and time. Batch system application has been recommended as versatile for utilization in seasonal problems such as pesticide contamination.
figshare arrow_drop_down Smithsonian figshareDataset . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert figshare arrow_drop_down Smithsonian figshareDataset . 2020License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Smithsonian Tropical Research Institute Authors: Paton, Steven;doi: 10.25573/data.10059455.v28 , 10.25573/data.10059455.v6 , 10.25573/data.10059455.v30 , 10.25573/data.10059455.v34 , 10.25573/data.10059455.v45 , 10.25573/data.10059455.v33 , 10.25573/data.10059455 , 10.25573/data.10059455.v13 , 10.25573/data.10059455.v9 , 10.25573/data.10059455.v31 , 10.25573/data.10059455.v22 , 10.25573/data.10059455.v14 , 10.25573/data.10059455.v27 , 10.25573/data.10059455.v11 , 10.25573/data.10059455.v44 , 10.25573/data.10059455.v15 , 10.25573/data.10059455.v38 , 10.25573/data.10059455.v17 , 10.25573/data.10059455.v16 , 10.25573/data.10059455.v2 , 10.25573/data.10059455.v29 , 10.25573/data.10059455.v12 , 10.25573/data.10059455.v32 , 10.25573/data.10059455.v39 , 10.25573/data.10059455.v26 , 10.25573/data.10059455.v19 , 10.25573/data.10059455.v41 , 10.25573/data.10059455.v25 , 10.25573/data.10059455.v23 , 10.25573/data.10059455.v10 , 10.25573/data.10059455.v20 , 10.25573/data.10059455.v21 , 10.25573/data.10059455.v24 , 10.25573/data.10059455.v1 , 10.25573/data.10059455.v8 , 10.25573/data.10059455.v3 , 10.25573/data.10059455.v5 , 10.25573/data.10059455.v46 , 10.25573/data.10059455.v4 , 10.25573/data.10059455.v42 , 10.25573/data.10059455.v18 , 10.25573/data.10059455.v43 , 10.25573/data.10059455.v40 , 10.25573/data.10059455.v7
doi: 10.25573/data.10059455.v28 , 10.25573/data.10059455.v6 , 10.25573/data.10059455.v30 , 10.25573/data.10059455.v34 , 10.25573/data.10059455.v45 , 10.25573/data.10059455.v33 , 10.25573/data.10059455 , 10.25573/data.10059455.v13 , 10.25573/data.10059455.v9 , 10.25573/data.10059455.v31 , 10.25573/data.10059455.v22 , 10.25573/data.10059455.v14 , 10.25573/data.10059455.v27 , 10.25573/data.10059455.v11 , 10.25573/data.10059455.v44 , 10.25573/data.10059455.v15 , 10.25573/data.10059455.v38 , 10.25573/data.10059455.v17 , 10.25573/data.10059455.v16 , 10.25573/data.10059455.v2 , 10.25573/data.10059455.v29 , 10.25573/data.10059455.v12 , 10.25573/data.10059455.v32 , 10.25573/data.10059455.v39 , 10.25573/data.10059455.v26 , 10.25573/data.10059455.v19 , 10.25573/data.10059455.v41 , 10.25573/data.10059455.v25 , 10.25573/data.10059455.v23 , 10.25573/data.10059455.v10 , 10.25573/data.10059455.v20 , 10.25573/data.10059455.v21 , 10.25573/data.10059455.v24 , 10.25573/data.10059455.v1 , 10.25573/data.10059455.v8 , 10.25573/data.10059455.v3 , 10.25573/data.10059455.v5 , 10.25573/data.10059455.v46 , 10.25573/data.10059455.v4 , 10.25573/data.10059455.v42 , 10.25573/data.10059455.v18 , 10.25573/data.10059455.v43 , 10.25573/data.10059455.v40 , 10.25573/data.10059455.v7
Monthly and daily summary from Barro Colorado Island (BCI). Data organized in horizontal format for seasonal and inter-year comparisonsLocation 9°9'42.36"N, 79°50'15.67"WParameters: air temperature, relative humidity, wind speed and direction, precipitation, sea surface temperature, solar radiation (pyranometer), air pressure, soil moisture, runoff, potential evapotranspiration, wet/dry season starting datesLutz catchment is a 9.73ha protected watershed on BCIThe Lutz tower was built in 1972 and was originally 42m. In 2002 it was increased to 48mThe data from 48m should be considered a separate data series from the data at 42m. Wind speed is significantly higher at 48m due to the distance to the top of the canopy.The Clearing is a small, open area surrounded by forest and some buildings. Station established in 1972. Consists of a Stevenson screen with max/min thermometers and air pressure sensor. Temperature/humidity sensor, rain gauge and evaporation sensors are located at various locations around the screen.
https://dx.doi.org/1... arrow_drop_down Smithsonian figshareDataset . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert https://dx.doi.org/1... arrow_drop_down Smithsonian figshareDataset . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:PANGAEA Zweifel, Roman; Sterck, Frank J; Braun, Sabine; Buchmann, Nina; Eugster, Werner; Gessler, Arthur; Haeni, Matthias; Peters, Richard L; Walthert, Lorenz; Wilhelm, Micah; Ziemínska, Kasia; Etzold, Sophia;The timing of diel stem growth of mature forest trees is still largely unknown, as empirical data with high temporal resolution have not been available so far. Consequently, the effects of day-night conditions on tree growth remained uncertain. Here we present the first comprehensive field study of hourly-resolved radial stem growth of seven temperate tree species, based on 57 million underlying data points over a period of up to 8 years. We show that trees grow mainly at night, with a peak after midnight, when the vapour pressure deficit (VPD) is among the lowest. A high VPD strictly limits radial stem growth and allows little growth during daylight hours, except in the early morning. Surprisingly, trees also grow in moderately dry soil when the VPD is low. Species-specific differences in diel growth dynamics show that species able to grow earlier during the night are associated with the highest number of hours with growth per year and the largest annual growth increment. We conclude that species with the ability to overcome daily water deficits faster have greater growth potential. Furthermore, we conclude that growth is more sensitive than carbon uptake to dry air, as growth stops before stomata are known to close.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2020Publisher:DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL) Authors: Mooney, Meghan; Waechter, Katy;doi: 10.25984/1804725
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded at the AWS S3 explorer page. The GitHub documentation page provides a description of the dataset with methods and assumptions. The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:Zenodo Authors: Metsaranta, Juha; Mamet, Steven; Maillet, Jay; Barr, Alan;These datasets are associated with the following paper: Metsaranta, J.M., Mamet, S.D., Maillett, J., Barr, A.G. (2021). Comparison of tree-ring and eddy covariance derived annual ecosystem production estimates for jack pine and trembling aspen forests in Saskatchewan, Canada. Agricultural and Forest Meteorology. There are two files: (1) CBMOutput.zip. This contains the hybrid biometric modelled ecosystem C stock and flux estimates. (2) StandReconstructionData.zip. This contains the field measurement data and the tree level biomass and wood volume data for the Stand Reconstruction plots used to develop the hybrid biometric modelled estimates. The data are formatted as .csv files, and an associated Microsoft Excel spreadsheet explains the data columns and provides information on the associated units of measure.
ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4716568&type=result"></script>'); --> </script>
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visibility 24visibility views 24 download downloads 21 Powered bymore_vert ZENODO arrow_drop_down Smithsonian figshareDataset . 2021License: CC BYData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4716568&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:PANGAEA Fischer, Andrea; Fickert, Thomas; Schwaizer, Gabriele; Patzelt, Gernot; Groß, Günther;Monitoring of plant succession in glacier forelands so far has been restricted to field sampling. In this study, in situ vegetation sampling along a chronosequence between Little Ice Age (LIA) maximum extent and the recent glacier terminus at Jamtalferner/Silvretta (ferner is a Tyrolian toponym for glacier) is compared to time series of the Normalized Difference Vegetation Index (NDVI) calculated from 13 Landsat scenes (1985-2016). The glacier terminus positions at 16 dates between the LIA maximum and 2015 were analysed from historical maps, orthophotos and LiDAR images and used for site age determination. We sampled plots of different time since deglaciation, from very recent to approx. 150 years: after 100 years, roughly 80% of the ground is covered by plants and ground cover did not increase essentially thereafter. Species number increases from 10-20 species on young sites to 40-50 species after 100 years. The NDVI increases for all plots between 1985 and 2016, from a mean of 0.11 for 1985-1991 to 0.2 in 2009 and 0.27 in 2016. For the plots deglaciated between 1 and about 150 years, the NDVI increases with the time of exposure. As the increase in ground cover is clearly reproduced by the NDVI (R² ground cover/NDVI 0.84) - even for sparsely vegetated areas -, we see a high potential of satellite-borne NDVI to perform regional characterizations of glacier forelands for hydrological, ecological and hazard management related applications. This data collection comprises the galcier outlines, NDVIs and chronosequencing locations with diversity and ground cover data.
PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.902545&type=result"></script>'); --> </script>
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more_vert PANGAEA - Data Publi... arrow_drop_down PANGAEA - Data Publisher for Earth and Environmental ScienceDataset . 2019License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1594/pangaea.902545&type=result"></script>'); --> </script>
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