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562 results for “cloud forest”
LAUTx - Individual Tree Point Clouds From Austrian Forest Inventory Plots
<p>This dataset contains manually segmented tree point clouds from Personal Laser Scanning (PLS) data, and additionally automatic segmented trees from the same point clouds. The raw point cloud data has been published in LAUT - Terrestrial and Personal laser scanner data from Austrian forest Inventory plots (<a href="https://doi.org/10.5281/zenodo.3698956">https://doi.org/10.5281/zenodo.3698956</a>) and six of those plots were processed for this data. Purpose of this data is to serve as benchmarking for automatic tree segmentation algorithms.</p>
Population genomics reveals differences in genetic structure between two endemic arboreal rodent species in threatened cloud forest habitat
<p>SNPs obtained by UNEAK pipeline for <em>Habromys schmidlyi </em>and <em>Reithrodontomys microdon</em>. </p> <p>Pleae cite as: </p> <p>Colunga-Salas P., T Marines-Macías, G Hernández-Canchola, S Barbosa, C Ramírez, JB Searle, L León-Paniagua. 2022. <strong>Population genomics reveals differences in genetic structure between two endemic arboreal rodent species in threatened cloud forest habitat</strong>. Mammalian Reasearch. Doi: 10.1007/s13364-022-00667-x</p>
Vegetation profile and canopy height of Tabonuco, Colorado and Cloud Forests
The overall height and the presence of vegetation in different height intervals above ground is recorded above points on a 5 x 5 m grid in three hectare-sized plots in the Luquillo Experimental Forest, Puerto Rico. One plots each is in tabonuco forest (350 m elevation), colorado forest (650 m) and cloud forest (1000 m). The first records were made shortly before Hurricane Hugo, in 1989. Post hurricane measurements have been made five time to six time in each plot, the most recent been in 1998 for all plots. The results show the damage to forest structure wreaked by Hurricane Hugo, steady recovery of forest structure after Hugo, minor damage by Hurricane Hortense in 1996, and resumption of recovery after Hortense. Maximum canopy height and the vertical distribution of vegetation in the forests are returning to pre-hurricane Hugo values. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Influence of biogenic emissions from boreal forests on aerosol-cloud interactions
<p>Datasets that support the major results of the study "Influence of biogenic emissions from boreal forests on aerosol-cloud interactions".</p> <p>Acknowledgements: </p> <p>The work was supported by Academy of Finland via Center of Excellence in Atmospheric Sciences (project no. 272041), Flagship program for Atmospheric and Climate Competence Center (ACCC, 337549, 337552, 337550) and grants 317380, 320094 and 334792, 328290, 302958, 1325656, 316114, 325647, 1325681 and 341271, European Research Council Advanced Grants (227463-ATMNUCLE, 742206-ATM-GTP,) and Starting Grants (638703-COALA, 714621-GASPARCON), the Arena for the gap<br> analysis of the existing Arctic Science Co-Operations (AASCO) funded by Prince Albert Foundation Contract No 2859, and “Quantifying carbon sink, CarbonSink+ and their interaction with air quality” INAR project funded by Jane and Aatos Erkko Foundation. This work was partly supported by the Office of Science (BER), U.S. Department of Energy via BAECC<br> (Petäjä, DE-SC0010711), BAECC-SNEX (Moisseev), European Commission via projects This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 821205 (Understanding and reducing the long-standing uncertainty in anthropogenic aerosol radiative forcing, FORCeS) and ACTRIS, ACTRIS-TNA,<br> ACTRIS2, ACTRIS-IMP, BACCHUS, eLTER, ICOS, PEGASOS and Nordforsk via Cryosphere-Atmosphere Interactions in a Changing Arctic Climate, CRAICC, The BAECC SNEX was also supported by NASA Global Precipitation Measurement (GPM) Mission ground validation program. The deployment of AMF2 to Hyytiälä was enabled and supported by ARM. Argonne National<br> Laboratory's work was supported by the U.S. Department of Energy, Assistant Secretary for Environmental Management, Office of Science and Technology, under contract DE-AC02-06CH11357. The authors gratefully acknowledge the support of AMF2, SMEAR2 and the BAECC community for their support in initiating the BAECC campaign, its implementation,<br> operation, data analysis and interpretation. </p>
Data associated with the manuscript: Andean bear tree selectivity for scent-marking in Ecuadorian cloud forests
<p>This is the original version of data used for the manuscript, <em>Andean bear tree selectivity for scent-marking in Ecuadorian cloud forests</em>. The data are in four files following the numerical order and titles of the Results section in the manuscript, i.e. <em>1_PCA.csv</em>, <em>2_Modeling tree selection at the individual-tee level.csv</em>, <em>3_Modeling tree selection on a local spatial scale.csv</em>, <em>4_Modeling formation of marked-tree cluster sites.csv. We used these datasets for our analysis in the program R, the details are provided in the Methods section. </em><span>Our field work was performed in compliance with the Framework Agreement for access to genetic resources called "Biodiversity Study of Ecuador '' made between the Ecuadorian Ministry of Environment and the UTPL. The code for the Agreement is MAE-DNB-CM-2015-0016-M-0002. The research was funded by Bears in Mind, International Association for Bear Research and Management, the Faculty of Environmental Sciences of Czech University of Life Sciences in Prague, National Geographic Society, Nature and Culture International, GIZ Ecuador, and Trailcampro. </span></p>
Leaf traits plus growth and dieback data for cloud forest epiphytes in a cloud exclusion treatment at Wayqecha Biological Station, Peru
Morphological traits [specific leaf area, stomatal length and density, leaf thickness, cuticle thickness and hydrenchymal layer thickness] and physiological traits [stomatal conductance, minimum leaf conductance and foliar water uptake capacity] along with pressure volume curves were measured at the Wayqecha Biological Station, Peru. Vascular epiphytes were sampled from a control plot and fog reduction treatment plot constructed from two 30 m tall aluminum towers, 40 m apart with panels of polyethylene mesh strung between the towers. Measurements of leaf morphological traits were taken in June-July 2022 in the control and treatment plots to assess plasticity to fog reductionin the fifth year of the experiment. Samples of branches and leaves for each individual approximately 1-2 meters off the ground were collected in the plot, close enough to the curtain to maximize any effects of fog interception. Growth and dieback data were also collected species of vascular and non-vascular epiphytes attached to wooden transplant boards in the control and treatment plot in 2017. Rates of growth and dieback were recorded for vascular epiphytes from 2017-2019 and for non-vascular epiphytes from 2018-2019. The 2017 data collection took place in November while data for 2018 and 2019 were collected in June.
Forest metrics derived from the 2008 Lidar point clouds, includes canopy closure, percentile height, and stem mapping for the Andrews Experimental Forest.
There are three types of forest metrics within this database. They all are derived from the raw Lidar point clouds using the FUSION software. The three types are canopy closure, height metric, and stem mapping. The canopy closure and height metric grids cover a variety of canopy heights and grid cell sizes. 1. Canopy closure: This metric measures the canopy closure of a given horizontal cell above a given vertical threshold (height break). Canopy closure can inform many landscape models and provide insight on how much light will reach the forest floor. 2. Height Metric: This metric measures the height at which a given percent of the first return points are below. This analysis is done in a given grid cell size. Height metrics give various statistics of the elevation above ground for a given set of Lidar points. In forested landscapes, first return height metrics describe the forest canopy. 3.This stem map locates the approximate center of all trees in the HJ Andrews Research Forest greater than 10 meters. In addition to the stem location, a canopy radius is also provided. FUSION and TreeVaWA software programs were used to develop this data. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data from HJ Andrews and the Willamette National Forest (NF) on August 10th and 11th 2008. Total area for this AOI is 17,705 acres. The total area of delivered LiDAR including 100 m buffer is 19,493 acres.
Figure 7 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 7. Ochrotrichia anticheirion sp. n., male genitalia. A) Segments VIII–IX, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Inferior appendages, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Figure 8 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 8. Rhyacopsyche totuma sp. n., male genitalia. A) Segments IX–X, lateral. B) Segments IX–X, dorsal. C) Inferior appendages, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Figure 5 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 5. Metrichia calla sp. n., male genitalia. A) Segments IX–X, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segment IX, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Figure 4 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 4. Metrichia brocha sp. n., male genitalia. A) Segments VII–X, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segment IX, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Figure 6 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 6. Neotrichia atopa sp. n., male genitalia. A) Segments VIII–X, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segment IX, ventral. D) Phallus, lateral. E) Phallus, dorsal.
Figure 2 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 2. Costatrichia devestiva sp. n., male genitalia. A) Segments VIII–X, and segment VII mesoventral process, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segments VIII–IX and segment VII mesoventral process, ventral. D) Phallus, lateral phallus, dorsal.
Fig. 1 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 1. Xim trenzado gen. et sp. nov. A–C, G. ♁ (ECOTAAR-004950). D–F, H. ♀ (ECOTAAR-005063). A–F. Habitus. A, D. Dorsal view. B, E. Lateral view. C, F. Ventral view. G, H. Carapace in frontal view. Scale bars: A–F = 0.25 mm.
Fig. 4 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 4. Xim trenzado gen. et sp. nov. A–B. ECOTAAR-004950. C–F, H–I. ECOTAAR-004962. G. ECOTAAR-004952. A–G. Male left femur I. D–G. Details of macrosetae. A, D. Dorsal view. B, E. Prolateral view. C, F. Ventral view. G. Apical view. H. Tarsal organ of leg I. I. Trichobothrium of retrolateral palpal tibia. Scale bars: A–C = 70 μm; D–F = 30 μm; H = 5 μm; I = 10 μm.
Fig. 2 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 2. Xim trenzado gen. et sp. nov., male left palpus. A–C. ECOTAAR-004974. D–E, G–I. ECOTAAR-004950. F. ECOTAAR-004952. A, D. Mesal view. B, E. Ventral view. C, F. Ectal view. G. Dorsal view. H. Apical view. I. Detail of E showing radix and embolus. Scale bars: A–E = 50 μm; F = 20 μm.
Fig. 7 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 7. Strict consensus tree of the eight most parsimonious trees, showing only the distal clades where Xim trenzado gen. et sp. nov. is situated. Tree with unambiguous character optimization; character and character-state numbers given above and below marks, respectively; color of marks denotes homoplasious (white) or non-homoplasious (black) character-state changes.
Fig. 5 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 5. Xim trenzado gen. et sp. nov., ♀, epigynum. A–B. ECOTAAR-005063. C–F. ECOTAAR-005183. A, G. Ventral view. B. Posterior view. C–D, H. Dorsal view. D. Detail of C showing left copulatory duct and spermatheca. E. Antero-dorsal view. F. Detail of E showing left copulatory duct and spermatheca. Scale bars: A–C, E, G–H = 40 μm; D, F = 20 μm.
Fig. 6 in A new spider genus (Araneae: Linyphiidae: Erigoninae) from a tropical montane cloud forest of Mexico
Fig. 6. Strict consensus tree of the eight most parsimonious trees, showing only the distal clades where Xim trenzado gen. et sp. nov. is situated. Tree with Bremer support values noted beside nodes.
FIGURE 8 in Anticyphon gen. nov., a new genus of Scirtidae (Coleoptera: Scirtoidea) inhabiting high altitude Andean cloud forests and páramo formation
FIGURE 8. Anticyphon oyonensis sp. nov., male genitalia. A) penis, B) tegmen, C) sternite VIII, D) sternite IX, E) tergite VIII, F) tergite IX. Scale bar = 0.5 mm.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.