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.
287
datasets available to search
ShareScore release 0.7.1
Dataset results
287 results for “gis”
Historical GIS Data for Harvard Forest Properties from 1908 to Present
Since 1908, the Harvard Forest has conducted forest surveys approximately every 10-20 years on its three largest tracts (total 1033 ha). These maps have been digitized along with maps of environmental factors (topography, soils), disturbance (1938 hurricane, historical land-use), and silvicultural treatments. These datalayers will allow researchers to understand the influence of environment factors, disturbances, and silviculture on the structure and composition of modern forest stands as well as assisting in locating and describing research sites. The dataset also includes an elevation grid (NED 30 meter cells), and a shapefile of linear features (trails, stonewalls, etc). Original maps were transcribed to standardized basemaps by various researchers. These basemaps were then scanned and digitized as shapefiles in ArcView GIS 3.2. The shapefiles were then transformed to Massachusetts State Plane Meters NAD83 projection in ArcGIS and rubbersheeted to align better with aerial photographs downloaded from MassGIS. Locations of control points will be permanently archived at the Harvard Forest to facilitate transformation of future datalayers.
Historical and Ecological GIS Data from Manuel F. Correllus State Forest on Martha’s Vineyard 1830-1994
Sand-plain ecosystems are a priority for conservation because they are uncommon, support numerous rare or uncommon plant and animal species, serve as groundwater recharge areas, and are threatened by land development. The 5,200-acre Manuel F. Correllus State Forest, in the central part of Martha’s Vineyard, is part of one of the larger sand-plain ecosystems in New England. This GIS data package was created as part of a study on the history and ecology of Martha’s Vineyard and the state forest as part of an effort to understand sandplain landscapes and make management recommendations for their maintenance.
Wildlands of New England GIS Data 1900-2022
Wildlands in New England is the first U.S. study to map and characterize within one region all conserved lands that, by design, allow natural processes to unfold with no active management or intervention. These “forever wild lands” include federal Wilderness areas along with diverse public and private natural areas and reserves. Knowing the precise locations of Wildlands, their characteristics, and their protection status is important as both a baseline for advancing conservation initiatives and an urgent call to action for supporting nature and society. Wildlands play a unique role in the integrated approach to conservation and land planning advanced by the Wildlands, Woodlands, Farmlands & Communities (WWF&C) initiative, which calls for: at least 70 percent of the region to be protected forest; Wildlands to occupy at least 10 percent of the land; and all existing farmland to be permanently conserved. This research was conducted by WWF&C partners Harvard Forest (Harvard University), Highstead Foundation, and Northeast Wilderness Trust, in collaboration with over one hundred conservation organizations and municipal, state, and federal agencies. This dataset contains the Geographical Information System (GIS) polygon layer of Wildlands created by this project and used in all analyses for the 2023 report. Another GIS layer will be updated as new Wildlands are brought to our attention or created and will be available at https://wildlandsandwoodlands.org/ for researchers.
Historical GIS Data for Prospect Hill Tract at Harvard Forest 1733-1986
This dataset contains elevation, 1986 forest type, land-use history, and soils maps for the Prospect Hill Tract, digitized from paper maps in the Harvard Forest Archives. File format = Idrisi 4.1 binary. Resolution = 10m x 10m. Coordinates = UTM zone 18. Datum = 1927 North American. This dataset has been replaced with a new vector series for the entire Harvard Forest (see HF110).
Academics for Land Protection in New England (ALPINE) GIS Data 2015-2018
Academics for Land Protection in New England (ALPINE) is a network of academic institutions committed to increasing the pace of land protection in New England to address the region’s environmental challenges and to support nature and people. ALPINE seeks to expand the role that academic institutions play in conserving the New England landscape by sharing experiences and resources among faculty and staff, students, administrations, and alumni. This dataset contains point locations of colleges that are participants in ALPINE and parcels of natural land owned by participating schools who submitted data to the ALPINE coordinator.
Historical Plat Maps of Dane County Digitized and Converted to GIS (1962-2005)
We constructed a time-series spatial dataset of parcel boundaries for the period 1962-2005, in roughly 4-year intervals, by digitizing historical plat maps for Dane County and combining them with the 2005 GIS digital parcel dataset. The resulting datasets enable the consistent tracking of subdivision and development for all parcels over a given time frame. The process involved 1) dissolving and merging the 2005 digital Dane County parcel dataset based on contiguity and name, 2) further merging 2005 parcels based on the hard copy 2005 Plat book, and then 3) the reverse chronological merging of parcels to reconstruct previous years, at 4-year intervals, based on historical plat books. Additional land use information such as 1) whether a structure was actually constructed (using the companion digitized aerial photo dataset), 2) cover crop, and 3) permeable surface area, can be added to these datasets at a later date.
GIS Dataset of Colour and Materials at Het Loo Palace in the Apartments of William III of Orange-Nassau (1713 Inventory)
<p><strong>Abstract</strong></p> <p>The presented datasets concerning the colour choices documented in the 1713 inventory within the two apartments of William III of Orange-Nassau (1652-1702) at Het Loo palace (Apeldoorn) for historical mapping correspond to the article:</p> <p>Bernert, Sara. 'Interior Colour Practices in the Apartments of William III of Orange-Nassau at Het Loo Palace. A New Methodology for Digital Reconstruction through the Use of GIS'. In New Digital Approaches, edited by Krista De Jonge and Sanne Maekelberg, 71–88. PALATIUM, 2023.</p> <p>This methodology deals with the captivating world of interior colour practices in stately apartments within courtly contexts, using the power of digital humanities. The aim is to bridge historical sources, such as palace inventories, with their corresponding spaces with a Geographic Information System (GIS).</p> <p><em>Please see the PDF for further description.</em></p> <p> </p> <p><strong>Dataset Contents</strong></p> <p>The separate CSV sheets and the equivalent Excel workbook<a href="#_ftn2">[2]</a> include:</p> <ul> <li>The datasets of colour carriers, their quantities and described colours by room as noted in the inventory: <ul> <li>Overall colour distribution across both apartments: <ul> <li>In short form for the macro layer of the palace for an over-regional comparison.<a href="#_ftn3">[3]</a></li> <li>And a detailed version of the microlayer of the palace.<a href="#_ftn4">[4]</a></li> </ul> </li> </ul> </li> <li>A separate dataset of the first apartment of William III as it was around 1686, still in his function as Prince of Orange and Stadtholder of Holland, Zeeland, Utrecht, Guelders, and Overijssel.<a href="#_ftn5">[5]</a></li> <li>A separate dataset of the second apartment of William III in the state around 1694, as he had already become King of England.<a href="#_ftn6">[6]</a></li> <li>Precise data on the polygons of the ground plan from 1695.<a href="#_ftn7">[7]</a></li> <li>Furthermore, the key to colour factoring by the space the colour carriers take up within the room, as described in the associated article pp.73-74.<a href="#_ftn8">[8]</a></li> </ul> <p>_______________________________________________________________________________</p> <p><a href="#_ftnref1">[1]</a> The inventory was amongst other inventories of the Orange-Nassau dynasty published in the 1970s and is accessible online: Sophie Wilhelmina Albertine Drossaers and Theodoor Herman Lunsingh Scheurleer, eds., ‘Inventaris van de Inboedel van Het Huis Het Loo, Het Oude Loo En Het Huis Merwel 1713’, in <em>Inventarissen van de Inboedels in de Verblijven van de Oranjes En Daarmee Gelijk Te Stellen Stukken 1567-1795</em>, vol. 1, 3 vols, Rijks Geschiedkundige Publicatiën, GS 147 (Den Haag: Rijks Geschiedkundige Publicatiën, 1974), 647–94, https://resources.huygens.knaw.nl/retroboeken/inboedelsoranje/#source=1&page=686&accessor=toc&view=imagePane&size=877.</p> <p><a href="#_ftnref2">[2]</a> Cf. 2023_HetLoo_1713_WilliamIII_Data_Color_Material_Apartments©Bernert2023</p> <p><a href="#_ftnref3">[3]</a> Cf. 2023_HetLoo_1713_WilliamIII_ColourShort_Both_Apartments_©Bernert2023</p> <p><a href="#_ftnref4">[4]</a> Cf. 2023_HetLoo_1713_WilliamIII_Inventory_Long_Both_Apartments_©Bernert2023</p> <p><a href="#_ftnref5">[5]</a> Cf. 2023_HetLoo_1713_WilliamIII_First_Apartment_©Bernert2023</p> <p><a href="#_ftnref6">[6]</a> Cf. 2023_HetLoo_1713_WilliamIII_Second_Apartment_©Bernert2023</p> <p><a href="#_ftnref7">[7]</a> Cf. 2023_HetLoo_1695_GIS_PolygonData_Spaces_©Bernert2023. The map referred to: Anonymous, <em>Het Loo Palace. Goundplan of the First Floor</em>, around 1695, RL-7596, Het Loo Palace Collection.</p> <p><a href="#_ftnref8">[8]</a> Cf. 2023_GIS_Colour_Counting_Sheet_©Bernert2023 and Sara Bernert, ‘Interior Colour Practices in the Apartments of William III of Orange-Nassau at Het Loo Palace. A New Methodology for Digital Reconstruction through the Use of GIS’, in <em>New Digital Approaches</em>, ed. Krista De Jonge and Sanne Maekelberg, PALATIUM, 2023, 73–74.</p>
Hubbard Brook Experimental Forest Buildings: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The building on and nearby the Hubbard Brook Experimental Forest were manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N
Hubbard Brook Experimental Forest Weirs: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. Also shown were the rain gages, stream weirs and watershed boundaries. The stream weirs were manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
Hubbard Brook Experimental Forest Roads: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The roads and trails locations were manually digitized. In 2014, roads data layer was updated to reflect road locations as indicated in lidar data. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
Hubbard Brook Experimental Forest Peaks: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The two peaks (Mt. Cushman - elev. 3205ft; Mt. Kineo - elev. 3330-ft) were manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
Hubbard Brook Experimental Forest Boundary: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The experimental forest boundary was manually digitized. The eastern boundary was truncated by a new boundary delineated on a paper diazo copy of the Hubbard Brook Watershed Map supplied by Wayne Martin of the USFS. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.
Hubbard Brook Experimental Forest 10ft contours: GIS Shapefile
Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The contour lines were manually digitized from the map. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N
GIS68 GIS Coverages of Konza Prairie Research Experiments in 2020
These data show locations for some experiments at Konza Prairie including: Chronic Addition of Nitrogen Gradient Experiment (ChANGE), Ghost Fire, Shrub Rainfall Manipulation Plots (ShRaMPs), sampling locations for ingrowth cores collected as part of the ShRaMPs experiment, Climate Extremes Experiment, Drought-Net, the Experimental Streams Experiment, the Nutrient Network Experiment, Phosphorous Plots experiment, the Vert-Invert experiment, and restoration areas.GIS680 defines the locations where the ChANGE experiment occurs on Konza Prairie. These data are to be used in conjunction with the NGE01 dataset.GIS681 defines the locations where the Ghost Fire experiment occurs on Konza Prairie. These data are to be used in conjunction with the GFE01.GIS682 defines locations where the ShRaMPs shelters occur on Konza Prairie.GIS683 defines locations where ingrowth cores were installed as part of the ShRaMPs experiment.GIS684 defines the locations where the Climate Extremes experiment occurs on Konza Prairie. These data are to be used in conjunction with the CEE01 dataset.GIS685 defines the locations where the Drought-Net experiment occurs on Konza Prairie.GIS686 defines the site where the Experimental Streams experiments occur on Konza Prairie.GIS687 defines the locations where the Nutrient Network experiment occurs on Konza Prairie. These data are to be used in conjunction with the NUT01 dataset.GIS688 defines the locations where the Phosphorous Plots experiment occurs on Konza Prairie. These data are to be used in conjunction with the PPL01 dataset.GIS689 defines the locations where the Vert-Invert experiment occurs on Konza Prairie. These data are to be used in conjunction with the VIR01 dataset.GIS690 contains locations of restoration areas. These data are to be used in conjunction with the HRE01, SPR01, and PRP01 datasets. These data are available to download as zipped shapefiles (.zip), and compressed Google Earth KML layers (.kmz).
GIS00 GIS Coverages Defining the Site Boundary of Konza Prairie (1977-present)
This dataset contains the boundary polygon of the Konza Prairie Biological Station (KPBS). Data type one (GIS000) defines the original KPBS boundary used from 1977 until 1982, type two contains the extended boundary from 1982 (GIS001) to 1997, and type three (GIS002) contains the boundary since 1997. These data are available as zipped (.zip) shapefiles (.shp).
GIS01 GIS Coverages Defining Internal Boundaries of Konza Prairie (1977-present)
This dataset defines the internal boundaries of the Konza Prairie Biological Station (KPBS). Data type one (GIS010) is a record of all fenced areas on KPBS with GIS011 providing locations for all gates and type of gate (exterior, bison, and cattle). Data type three (GIS012) represents various large-scale research areas on Konza including bison grazed, cattle grazed, fire reversal, etc. These data are available as zipped (.zip) shapefiles (.shp).
GIS02 GIS Coverages Defining the Konza Prairie Experimental Watershed Treatments
This dataset defines the experimental watershed treatments for the Konza Prairie Biological Station (KPBS). These treatments have changed over time to represent changes in both physical boundaries as well as changes in watershed treatments. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
GIS05 GIS Coverages Defining Konza Prairie Burn History (1977-present)
This dataset contains a comprehensive record of burn histories for the Konza Prairie Biological Station (KPBS) dating from 1972. Burn history data contains date burned, area burned and type of treatment (prescribed burns, complete and partial burns, and wildfires). These data are available as zipped (.zip) shapefiles (.shp).
GIS10 GIS Coverage Defining Roads in and around Konza Prairie (1977-present)
This dataset defines the roads in and around the Konza Prairie Biological Station (KPBS). The road data shows locations of Konza maintained and county/state/federal access roads as well as defining gravel or paved. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
GIS11 A GIS Coverage Defining Nature Trails on Konza Prairie (1982-present)
This dataset defines the nature trails found at Konza Prairie Biological Station (KPBS). The trails data shows locations of the different Konza maintained walking trails including leg distances and loop names. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
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.