Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5
datasets available to search
ShareScore release 0.7.1
Dataset results
5 results for “witness tree”
PhenoCam Images and Canopy Phenology at the Harvard Forest Witness Tree since 2014
The PhenoCam Network uses imagery from digital cameras to track vegetation phenology and seasonal changes in vegetation activity in diverse ecosystems across North America and around the world. Imagery is uploaded to the PhenoCam server at the University of New Hampshire, where it is made publicly available in near-real time, every 30 minutes from sunrise to sunset, 365 days a year. The data are processed using simple image analysis tools to yield a measure of canopy greenness, from which phenological metrics are extracted, characterizing the start and end of the growing season. These transition dates have been shown to align well with on-the-ground observations of tree phenology at Harvard Forest (HF003). Long-term PhenoCam data can be used to track the impact of climate variability and change on the rhythm of the seasons. This dataset contains one mid-day image for each camera. Please see the PhenoCam Network website (https://phenocam.nau.edu/webcam/) for more information and additional images.
Witness Tree Data in Southern New England and Long Island 1640-1999
Early surveyors' witness-tree records from initial land divisions are often used to reconstruct the vegetation at the time of European settlement and before extensive Euro-American land use. The following description of methods comes from the published paper (Hall, B., G .Motzkin, D. R. Foster, M. Syfert and J. Burk. 2002. Three hundred years of forest and land-use change in Massachusetts, USA. Journal of Biogeography 29, 1319-1335): "Following methods described more fully in Cogbill et al. (2002), we used early surveyors' tree records from initial land divisions in each town to reconstruct the vegetation at the time of European settlement and before extensive Euro-American land use. All available original 17th - early 19th century survey records located at the state archives and individual town halls were examined and colloquial or common names of marker trees were noted... With few exceptions, only surveys that occurred within 80 years of town settlement were gathered in order to limit the potential influence of European land use on species composition."
Witness Tree Database for 68 Townships in Northern Wisconsin, Level 0
This database is a collation and digitization of witness tree attributes at 6,609 PLS corners in 68 scattered townships over nine counties (Ashland County east to Florence County and south to Rush County) in northern Wisconsin. These are the same townships used in Manies, K. L., Mladenoff, D. J., and Nordheim, E. V. 2001. Assessing large-scale surveyor variability in the historic forest data of the original US Public Land Survey. Canadian Journal of Forest Research 31(10): 1719-1730.
Witness Tree Database for 4 Survey Districts in Southeastern Ohio, Level 0
This database is a collation and digitization of witness tree attributes at PLS corners in four survey districts in southeastern Ohio: Old Seven Ranges, North of the Seven Ranges, United States Military Tract, Ohio Land Company.
Ohio Public Land Survey (PLS) Witness Tree GIS Shapefile
The United States Public Land Survey (PLS) divided land into one square mile units, termed sections. Surveyors used trees to locate section corners and other locations of interest (witness trees). As a result, a systematic ecological dataset was produced with regular sampling over a large region of the United States, beginning in Ohio in 1786 and continuing westward. We digitized and georeferenced archival hand drawn maps of these witness trees for 27 counties in Ohio. This dataset consists of a GIS point shapefile with 11,925 points located at section corners, recording 26,028 trees (up to four trees could be recorded at each corner). We retain species names given on each archival map key, resulting in 70 unique species common names. PLS records were obtained from hand-drawn archival maps of original witness trees produced by researchers at The Ohio State University in the 1960’s. Scans of these maps are archived as “The Edgar Nelson Transeau Ohio Vegetation Survey” at The Ohio State University: http://hdl.handle.net/1811/64106. The 27 counties are: Adams, Allen, Auglaize, Belmont, Brown, Darke, Defiance, Gallia, Guernsey, Hancock, Lawrence, Lucas, Mercer, Miami, Monroe, Montgomery, Morgan, Noble, Ottawa, Paulding, Pike, Putnam, Scioto, Seneca, Shelby, Williams, Wyandot. Coordinate Reference System: North American Datum 1983 (NAD83). This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.
ScienceDex guides
Understand access before you commit
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.