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.
907
datasets available to search
ShareScore release 0.9.0
Dataset results
907 results for “Pine”
Forest survey data of a landscape in Pine Mountain
<p>This dataset provides the planar coordinates, height and the diameter at breast height (DBH) of trees with DBH >= 1 cm within a landscape of 400 m by 1000 m (made up of one-thousand 20 m by 20 m plots) in the Beijing Pine Mountain National Nature Reserve (40°30'50'' N, 115°49'12'' E), which was carried out in 2014.</p>
Fig. 4 in Big Cypress fox squirrel (Sciurus niger avicennia) ecology and habitat use in a cypress dome swamp-pine forest mosaic
Fig. 4.—Mean (± SD) length (km) of linear features (roads, random lines) and area (ha) of rectangular features (oilpads, random rectangles) overlapped by Big Cypress fox squirrel male and female 95% home range kernels from 2007 to 2011, within the Raccoon Point area of Big Cypress National Preserve, Florida.
Fig. 2 in Big Cypress fox squirrel (Sciurus niger avicennia) ecology and habitat use in a cypress dome swamp-pine forest mosaic
Fig. 2.—Mean (± SD) percent overlap of individual Big Cypress fox squirrel 95% home range kernels by dyad (MF = males overlapping females, MM = males overlapping males, FF = females overlapping females) within the Raccoon Point area of Big Cypress National Preserve, Florida. Overlaps are summarized for animals that actually overlapped in time and space from 2007 to 2011 (i.e., telemetry data were collected contemporaneously) and animals that potentially overlapped spatially (i.e., home ranges were calculated across years and seasons and overlaps calculated among all home ranges independent of year and season). Means were calculated from overlapping kernels only.
Fig. 1 in Big Cypress fox squirrel (Sciurus niger avicennia) ecology and habitat use in a cypress dome swamp-pine forest mosaic
Fig. 1.—Color phases of Big Cypress fox squirrels captured from 2007 to 2011 within the Raccoon Point area of Big Cypress National Preserve, Florida. A) Orange phase BCFS (n = 17); B) Black phase BCFS (n = 6); C) Tan phase BCFS (n = 1). Photos copyright Ralph Arwood. BCFS = Big Cypress fox squirrels.
Fig. 3 in Big Cypress fox squirrel (Sciurus niger avicennia) ecology and habitat use in a cypress dome swamp-pine forest mosaic
Fig. 3.—Comparison of use versus availability for 7 vegetation types used by Big Cypress fox squirrels from 2007 to 2011, in the Raccoon Point area of Big Cypress National Preserve, Florida. Bars represent the mean percentage of each vegetation community type used minus the mean percentage of vegetation community type available at 3 orders of selection.
Fig. 5 in Big Cypress fox squirrel (Sciurus niger avicennia) ecology and habitat use in a cypress dome swamp-pine forest mosaic
Fig. 5.—Total male (n = 10) and female (n = 10) Big Cypress fox squirrel food item use (n = 702) percentage per month within the Raccoon Point area of Big Cypress National Preserve, Florida, from 2007 to 2011.
FIG. 3 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 3. Characteristics of Gopher Tortoise burrows at two sites in Miami-Dade County, Florida, USA. (A) Polar plots for Gopher Tortoise burrow orientations. There was no trend in direction of burrow opening at either site. (B) Burrow openings were wider at Zoo Miami than at the Deering Estate, and in both sites active burrows were wider than inactive burrows. (C) Burrows were far longer at the Deering Estate than at Zoo Miami, and active burrows were far longer than inactive burrows at both sites.
FIG. 2 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 2. The two pine rockland sites included in this study are Zoo Miami (A) and the Deering Estate (B). The locations of tortoise burrows sampled in this study and random sampling points are indicated on each map. Zoo Miami is surrounded by adjacent pineland preserves and by extensive urban development. The Deering Estate is bounded by Biscayne Bay to the east and extensive urban development to the north and west. Representative habitats are shown from Zoo Miami (C) and the Deering Estate (D).
FIG. 4 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 4. Non-metric multidimensional scaling (nMDS) plots illustrating differences among sampling point types. (A) Differences in habitat features between burrows and random points. (B) Differences in habitat features between two sites—Deering or Zoo Miami. While there is considerable overlap among point types, there are significant differences in habitat variables measured between point types (burrows and random points) and between sites (Zoo Miami and the Deering Estate).
FIG. 1 in Burrow Characteristics and Habitat Associations of Gopher Tortoises in Urban Pine Rockland Reserves (Miami, Florida, USA)
FIG. 1. Locations of two study sites (A, Zoo Miami and B, Deering Estate) in this study within the context of the larger global extent of the Miami pine rocklands and the range of the Gopher Tortoise. The inset at upper left indicates the geographic range of the Gopher Tortoise in the southeastern United States, and the red box in the inset indicates the extent of the main map. The larger map illustrates Miami-Dade County, and the historic and current distribution of the pine rocklands. Inset boxes show the two study sites.
Supplementary material 2 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Statistics for Table 2. Statistical tests of proportions out of all species among feeding types for impacts, establishments and interceptions.
Supplementary material 3 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Numbers (and percentages) of species by impact class, and whether or not they have been intercepted (based on the international interceptions dataset covering the period 1995–2021) or established in a region outside their native range.
Supplementary material 4 from: Brockerhoff EG, Gresham BA, Meurisse N, Nahrung HF, Perret-Gentil A, Pugh AR, Sopow SL, Turner RM (2023) Pining away and at home: global utilisation of Pinus radiata by native and non-native insects. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 137-167. https://doi.org/10.3897/neobiota.84.95864
Percentages of species native to a region in each feeding guild, regardless of impact. Those in the "Native country: other" category are species native to other regions but not to Australia or New Zealand.
Survival of Salmonella enterica serovar Heidelberg in pine shavings used as broiler litter
<p>Wood shavings is the most common bedding material used around the world to raise broiler. Therefore, wood shavings can be a vehicle for the transmission of pathogens to live birds. In this study, we performed an in-depth genomic characterization of three <em>Salmonella enterica </em>serovar Heidelberg (<em>S</em>. Heidelberg) strains recovered after their inoculation into fresh pine shaving. The three strains used for the microcosm study were previously isolated from broiler feces (SH-AAFC), broiler carcass (SH-ARS) and chicken thigh (SH-FSIS) and differed one from another by 46 - 94 single nucleotide variants. The SH-AAFC strain harbored an antimicrobial resistant gene (ARG) (<em>bla</em><sub>CMY-2</sub>) on an IncI1 plasmid while the SH-FSIS strain harbored multiple ARGs (<em>floR, cmlA1, tet(A), bla</em><sub>TEM-1B</sub><em>, ant(2'')-Ia, aph(6)-Id, aph(3'')-Ib </em>and<em> sul2</em>) on an IncC plasmid. The SH-ARS isolate was pan susceptible to several antibiotics evaluated. We determined the abundance of <em>Salmonella </em>at days 0, 1, 7, 14 and 21 and performed antibiotic susceptibility testing and whole genome sequencing (on 77 randomly selected <em>S</em>. Heidelberg isolates. After 21 days of incubation, <em>Salmonella </em>abundance decreased by 4.4 logs. <em>Salmonella</em> with high minimum inhibitory concentrations (MICs) against ampicillin showed a significantly higher abundance and survival rate compared to <em>Salmonella</em> with high MIC against gentamicin (<em>P</em>< 0.05). Clonal SH-AAFC was the most prevalent strain in the microcosms (48/77), followed by the strain SH-ARS (25/77). Only 4/77 isolates were determined to be clones of SH-FSIS. We identified recombination events and plasmid copy number changes that were associated with the fitness of <em>S</em>. Heidelberg strain carrying IncI1 and Col plasmids. Lastly, we found that litter physicochemical variables including water activity could explain up to 85% of the variability in our data.</p>
Figure 1 in Observations on the diet and behaviour of captive Monodelphis (Mygalodelphys) kunsi Pine, 1975 (Didelphimorphia: Didelphidae) from Paraguay
Figure 1. Capture sites of Monodelphis kunsi specimens Aand Bat Rancho Laguna Blanca (depicted by the star).
Phenological time lapse images from crown camera MC120 in Värriö Pine stand
<p>This record contains phenological time lapse images from camera Värriö Pine stand. Camera was mounted at crown view level at location 67.75488;29.60989(N;E, WGS84).</p> <p>First set of images were taken between 13.04.2015--31.12.2016 (Version 1). Subsequent Versions extend the record with newer images, and the version number indicates the years covered by the record.<br> Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br> More details on the camera installations and operation history can be found at doi 10.5281/zenodo.777952<br> The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br> For further information contact Pasi Kolari (pasi.kolari@helsinki.fi)</p>
Phenological time lapse images from canopy camera MC119 in Värriö Pine stand
<p>This record contains phenological time lapse images from camera Värriö Pine stand. Camera was mounted at canopy view level at location 67.75488;29.61000(N;E, WGS84).</p> <p>First set of images were taken between 13.04.2015--31.12.2016 (Version 1). Subsequent Versions extend the record with newer images, and the version number indicates the years covered by the record.<br> Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br> More details on the camera installations and operation history can be found at doi 10.5281/zenodo.777952<br> The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br> For further information contact Pasi Kolari (pasi.kolari@helsinki.fi)</p>
Phenological time lapse images from crown camera MC106 in Hyytiälä Pine stand
<p>This record contains phenological time lapse images from camera Hyytiälä Pine stand. Camera was mounted at crown view level at location 61.84740;24.29529(N;E, WGS84).</p> <p>First set of images were taken between 13.03.2014--31.12.2016 (Version 1). Subsequent Versions extend the record with newer images, and the version number indicates the years covered by the record.<br> Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br> More details on the camera installations and operation history can be found at doi 10.5281/zenodo.777952<br> The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br> For further information contact Pasi Kolari (pasi.kolari@helsinki.fi)</p>
Phenological time lapse images from crown camera MC109 in Sodankylä Pine stand
<p>This record contains phenological time lapse images from camera Sodankylä Pine stand. Camera was mounted at crown view level at location 67.3618;26.638167(N;E, WGS84).</p> <p>First set of images were taken between 22.05.2014--31.12.2016 (Version 1). Subsequent Versions extend the record with newer images, and the version number indicates the years covered by the record.<br> Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br> More details on the camera installations and operation history can be found at doi 10.5281/zenodo.777952<br> The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br> For further information contact mika.aurela@fmi.fi </p>
Phenological time lapse images from canopy camera MC108 in Sodankylä Pine stand
<p>This record contains phenological time lapse images from camera Sodankylä Pine stand. Camera was mounted at canopy view level at location 67.3618;26.638167(N;E, WGS84).</p> <p>First set of images were taken between 22.05.2014--31.12.2016 (Version 1). Subsequent Versions extend the record with newer images, and the version number indicates the years covered by the record.<br> Cameras were set to fix white balance, brightness automatically adjusted by camera.Image have equal resolution throughout the time series, time indicated in UTC+2. Images are taken half-hourly during fixed day-time period over the year. Gaps in time series and dark images possibly exist.<br> More details on the camera installations and operation history can be found at DOI 10.5281/zenodo.777952</p> <p>The cameras were set up and images collected under EU Life+ (LIFE ENV/FI/000409) Monimet project, http://monimet.fmi.fi.<br> For further information contact mika.aurela@fmi.fi and ali.nadir.arslan@fmi.fi</p>
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.