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192 results for “Fagus”

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zenodo36/100

Vertical variation in epiphytic cryptogam species richness and composition in a primeval Fagus sylvatica forest

<p>&quot;Data description.docx &quot; contains the description of the data-file &quot; Data_JVS_Vertical variation.xlsx&quot; used for analyses.<br> &nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo36/100

Data set for the article "Recently photoassimilated Carbon and fungus-delivered Nitrogen are spatially correlated at the cellular scale in the ectomycorrhizal tissue of Fagus sylvatica"

<p>This dataset contains data that support the manuscript</p> <p>Mayerhofer et al (2021) &quot;Recently photoassimilated Carbon and fungus-delivered Nitrogen are spatially correlated at the cellular scale in the ectomycorrhizal tissue of<em> Fagus sylvatica&quot;, </em>The New Phytologist, DOI:10.1111/nph.17591</p> <p>It contains the following data:</p> <p>(1) NanoSIMS imaging data, which was used for Fig. 4-7, is provided in NanoSIMS_control_root_tip.zip and NanoSIMS_labelled_root_tip.zip. Each zip-files contains:</p> <ul> <li>the original NanoSIMS images (.im)</li> <li>their related checkfiles (.chk_im)</li> <li>ROIs description (.rois.zip)</li> </ul> <p>of the unlabelled control and the labelled root tip section, respectively. &quot;.im&quot; and &quot;.chk_im&quot; are the original image data aquisition files from the NanoSIMS instrument. &quot;rois.zip&quot; files describe selected regions of interests and were created utilizing the OpenMIMS plugin (Center for Nano Imaging, https://nano.bwh.harvard.edu/MIMSsoftware) for the image analysis software ImageJ (National Institutes of Health, Bethesda, MD, USA).</p> <p>(2) Means and standard deviations of all measured elements and isotopes of each region of interest, as obtained via the .rois.zip files from the NanoSIMS images, are reported in NanoSIMS_ROI_data.csv (used for Fig.7).</p> <p>(3) Linescan_data.csv contains data used for Fig. 8.</p> <p>(4) IRMS_roots_data.csv contains data of root segments and mycorrhizal root tips analysed with isotope-ratio mass spectrometry (EA-IRMS) (used for Fig. 2)</p> <p>Description of column meanings from csv data files can be found in the according &quot;_description&quot; files.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Habitat differences influence genetic impacts of human land use on the American beech (Fagus grandifolia)

Natural reforestation after regional forest clearance is a globally common land-use sequence. The genetic recovery of tree populations in these recolonized forests may depend on the biogeographic setting of the landscape, for instance whether they are in the core or in the marginal part of the species' range. Using data from 501 individuals genotyped across 7 microsatellites, we investigated whether regional differences in habitat quality affected the recovery of genetic variation in a wind-pollinated tree species, American beech (Fagus grandifolia) in Massachusetts. We compared populations in forests that were recolonized following agricultural abandonment to those in remnant forests that have only been logged in both central inland and marginal coastal regions. Across all populations in our entire study region, recolonized forests showed limited reduction of genetic diversity as only observed heterozygosity was significantly reduced in these forests (H O = 0.520 and 0.590, respectively). Within inland region, this pattern was observed, whereas in the coast, recolonized populations exhibited no reduction in all genetic diversity estimates. However, genetic differentiation among recolonized populations in marginal coastal habitat increased (F st logged = 0.072; F st secondary = 0.249), with populations showing strong genetic structure, in contrast to inland region. These results indicate that the magnitude of recovery of genetic variation in recolonized populations can vary at different habitats.

opencc-zeroMay 2023View details →
dryad36/100

Data from: Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

<p><span>Current climate change species response models usually do not include evolution. We integrated remote sensing with population genomics to improve phenotypic response prediction to drought stress in the key forest tree species European beech (<em>Fagus sylvatica</em> L.). We used whole-genome sequencing of pooled DNA from natural stands along an ecological gradient from humid-cold to warm-dry climate. We phenotyped stands for leaf area index (LAI) and moisture stress index (MSI) for the period 2016–2022. We predicted this data with matching meteorological data and a newly developed genomic population prediction score in a Generalised Linear Model. Model selection showed that the addition of genomic prediction decisively increased the explanatory power. We then predicted the response of beech to future climate change under evolutionary adaptation scenarios. A moderate climate change scenario would allow persistence of adapted beech forests, but not worst-case scenarios. Our approach can thus guide mitigation measures, such as allowing natural selection or proactive evolutionary management.</span></p>

opencc-zeroAug 2023View details →
dryad36/100

Data from: Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad36/100

Leaf spectroscopy reveals drought response variation in Fagus sylvatica saplings from across the species range

Open the record for dataset details and reuse information.

publicNov 2024View details →
dryad36/100

Data from: Mast seeding in European beech (Fagus sylvatica L.) is associated with reduced fungal sporocarp production and community diversity

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publicMay 2024View details →
dryad36/100

Climate associated genetic variation in Fagus sylvatica and potential responses to climate change in the French Alps

Open the record for dataset details and reuse information.

publicMar 2020View details →
dryad36/100

Temporal changes in nutrients in forest soil and roots and root biomass of Fagus sylvatica after P and N fertilization

Open the record for dataset details and reuse information.

publicMay 2022View details →
dryad36/100

Mineral nitrogen nutrition of Fagus sylvatica L roots colonized by ectomycorrhizal fungi in native forest soil

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publicDec 2021View details →
edi36/100

Fernow Experimental Forest site, station Compartment 8, subcompartment A, commerical clearcut treatment in mixed hardwood forest, study of relative frequency of Fagus grandifolia (american beech) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fagus grandifolia (american beech) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Fernow Experimental Forest site, station Compartment 8, subcompartment E, control reference stand (not harvested) in mixed hardwood forest, study of relative frequency of Fagus grandifolia (american beech) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fagus grandifolia (american beech) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Fernow Experimental Forest site, station Compartment 8 subcompartment B, diameter limit harvest in mixed hardwood forest, study of relative frequency of Fagus grandifolia (american beech) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fagus grandifolia (american beech) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Fagus grandifolia (american beech) in units of percent on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Fagus grandifolia (american beech) measurements in percent units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Vegetation zones 2 and 3 at Hubbard Brook Experimental Forest's watershed 6, study of plant biomass of Fagus grandifolia in units of kilogramsPer625SquareMeters on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains plant biomass of Fagus grandifolia measurements in kilogramsPer625SquareMeters units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Vegetation zones 2 and 3 at Hubbard Brook Experimental Forest's watershed 6, study of diameter at breast height of Fagus grandifolia in units of centimeter on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains diameter at breast height of Fagus grandifolia measurements in centimeter units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Hubbard Brook studies on Fagus grandifolia, study of animal biomass of Lepidoptera in units of milligram on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal biomass of Lepidoptera measurements in milligram units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Hubbard Brook site, on Fagus grandifolia, study of animal abundance of Lepidoptera in units of numberPer4000Leaves on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Lepidoptera measurements in numberPer4000Leaves units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Moosilauke site, on Fagus grandifolia, study of animal abundance of Lepidoptera in units of numberPer4000Leaves on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Lepidoptera measurements in numberPer4000Leaves units and were aggregated to a yearly timescale.

openOpenJan 2020View details →
edi36/100

Hubbard Brook site, station Russell Pond site, on Fagus grandifolia, study of animal abundance of Lepidoptera in units of numberPer4000Leaves on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains animal abundance of Lepidoptera measurements in numberPer4000Leaves units and were aggregated to a yearly timescale.

openOpenJan 2020View details →

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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abode-home-cage
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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record