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.
260
datasets available to search
ShareScore release 0.9.0
Dataset results
260 results for “interception”
Grassland Vegetation Line-Intercept Transects at the Sevilleta National Wildlife Refuge, New Mexico
In 1989, line-intercept transects were installed to evaluate temporal and spatial dynamics across vegetation transition zones. Currently, a 400m transect is sampled at a grassland site (Deep Well) which is dominated by Bouteloua eriopoda (black grama) and, near the southern end of the transect, B. gracilis (blue grama). A second grassland site (Five Points), dominated by B. eriopoda and, to the south, Larrea tridentata (creosote), is also sampled. Both sites are sampled twice a year, in May/June and September/October, and measurements are taken at a one-centimeter resolution. The biannual sampling protocol detects potential responses in both cool and warm season plants as well as pre- and post-monsoon dynamics. Several transects have been discontinued and data archived within SEV200.
Percent cover of vegetation measured by the line-intercept method at multiple locations on long-term ecosystem transects (including nitrogen fertilization treatments) at Jornada Basin LTER, 1982-2014
This data package contains data on the average percent cover of plant species on three permanent LTER-I transects at the Chihuahuan Desert Rangeland Research Center (CDRRC) in southern New Mexico. Prior to becoming a livestock exclosure, the study site was moderately to heavily grazed for the past 100 years. The purpose of this study was to document the vegetation changes associated with the addition of nitrogen fertilizer following nearly a century of grazing. Three permanent, parallel transects (2.7 km in length) run from the middle of the College Playa up to the foot of Mt. Summerford. The Treatment transect was treated annually with ammonium nitrate fertilizer (NH4NO3 at 10g N/m2/yr) until 1987. Along each transect, 91 stations, each with a plant intercept line, are spaced at 30 meter intervals. Each plant intercept line is perpendicular to a 2.7 km transect and is 30 meters in length broken into 5 meter segments. The included dataset gives calculated average percent cover of each plant species for each of these plant intercept lines on all three LTER-I permanent transects (91 lines each). Measurements were made biannually from 1982 - 1988. After this, they are measured every 5 years. Data consists of the date, week number, transect, station number, JRN species code, USDA Plants code, species binomial, photosynthetic pathway, habit, form, and average percent cover. This study is ongoing.
Snow Spotter Canopy-Snow Interception Dataset #1
<p>This dataset was used in a manuscript titled "<em>Evaluating multiple canopy-snow unloading parameterizations in SUMMA with time-lapse photography characterized by citizen scientists</em>" submitted to AGU WRR by the corresponding first-author, Cassie A. Lumbrazo (lumbraca@uw.edu). <br> An excerpt from the manuscript is provided below. Please see the published manuscript for the full dataset summary and the dataset ReadMe file for information on the dataset structure. </p> <p>Time-lapse images from high-resolution digital cameras were collected from the PhenoCam Network (Milliman et al., 2018), the 2017 NASA SnowEx Field Campaign (Currier et al., 2019; Kim et al., 2017), and the Olympic Mountain Experiment (OLYMPEX) ground validation campaign (Currier et al., 2017; Houze et al., 2017; Lundquist et al., 2018). These images were then uploaded to a citizen science platform called Zooniverse (<a href="https://www.zooniverse.org/"><em>Zooniverse.org</em></a>) and classified by thousands of volunteers as part of the <em>Snow Spotter</em> project. </p> <p>The goal of Snow Spotter was to mobilize citizen scientists to collect information about canopy interception. A total of 6,700 volunteer citizen scientists responded to questions about 13,600 images from sites across the United States to create this first canopy-snow interception Snow Spotter dataset. </p>
Raw data supporting Identifying invertebrates from pitfall, flight interception traps and hand collecting
<p>Raw data supporting identifying invertebrates from pitfall, flight interception traps and hand collecting: comparing metabarcoding with traditional methods.</p> <p>Two step PCRs were performed on each sample replicate using modified primers mICOIintF and jgHCO2198 followed by the Nextera XT index kit v2 Set A (Illumina).</p> <p>The pool was loaded onto an illumina MiSeq using a MiSeq Reagent Kit v2 500 cycle kit (Illumina), with 10% Phi-X to generate 250-bp paired-end reads.</p>
Vegetation cover data from line-intercept transects in the long-term Small Mammal Exclusion Study (SMES) at Jornada Basin LTER, 1995-2005
This package contains perennial vegetation cover data measured using the line-intercept method from plots with various levels of herbivore exclusion on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Study sites were established in 1995; one in black grama grassland and the other in creosotebush shrubland to compare the impact of herbivores on ecosystem processes between these vegetation types. Parallel studies were established at the Sevilleta LTER site (New Mexico, USA) and Mapimi Biosphere Reserve (Durango, Mexico). Each study site is 1 km by 0.5 km in area. Four replicate experimental blocks were randomly located at the grassland study site to measure vegetation responses using exclusion treatments including a) all mammalian herbivores, including cattle, lagomorphs, and rodents, b) lagomorphs and cattle only, c) cattle only, and d) control accessible to all herbivores. Because grazing cattle are excluded from the entire creosote site, only three replicate experimental blocks were randomly located there including a) all mammalian herbivores, including lagomorphs, and rodents, b) lagomorphs only, and c) control accessible to all herbivores. Thirty-six sampling points were positioned at 5.8-meter intervals on a systematically located 6 by 6 point grid within each plot. A permanent one-meter by one-meter vegetation measurement quadrat is located at each of the 36 points. The vegetation line-intercept measurements in this data package were made in fall 1995 and fall 2005 to coincide with low-level aerial photography campaigns. Three 29-meter lines were measured along three out of six rows of permanent vegetation quadrats. Intercept locations for live, perennial plant cover and bare ground were measured along each line at 10cm resolution, which is comparable to the resolution of the aerial photos. Plants were identified to species level where possible. The resulting cover data can used to ground-truth cover estimates fro
Annual measurements of vegetation canopy and basal gap intercepts from the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016
This data package contains annual measurements of vegetation canopy and basal gap sizes from transects at the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, vegetation canopy and basal gap sizes were collected annually in all plots using the gap intercept method. These data were collected in 2008-2010, 2012 and 2016. At each plot, four parallel 24-meter transects crossing the upwind buffer, the plot, and the downwind buffer were measured. These parallel transects were spaced at 0.8, 2.8, 4.3, and 7.2 meter intervals across the plot and buffer areas. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.
Annual measurements of vegetation cover on line-point intercept transects from the three Conmod Pilot study locations at Jornada Basin LTER, 2008-2016
This data package contains annual measurements of vegetation cover, species, and height from transects at the Connectivity Modifier (Conmod) Pilot study on the Jornada Experimental Range from 2008-2016. There were 3 sites for this study: Gravelly Ridges, Aeolian, and Dona Ana. Within each site, there were 8 study plots, 4 of which were treatment plots where connectivity modules (conmods) were installed to decrease gap sizes between perennial vegetation. The plots were 8 x 8 meters and had an 8 x 8 meter buffer zone on both sides of the plot (upwind and downwind). Beginning in 2008, vegetation cover by species, and vegetation heights were collected annually in all plots using the line-point intercept method. These data were collected in 2008-2010, 2012 and 2016. At each plot, four parallel 24-meter transects crossing the upwind buffer, the plot, and the downwind buffer were measured. These parallel transects were spaced at 0.8, 2.8, 4.3, and 7.2 meter intervals across the plot and buffer areas. Vegetation cover and height were read at points arranged at 25 centimeter increments along each transect. This study is complete (finished in 2016) and was the pilot study to the newer Cross Scale Interactions Study.
Vegetation cover from line intercept transects in lagomorph exclosure and shrub removal plots at the Jornada Experimental Range, southern New Mexico, USA, 1938-2001
This package contains data from a study to quantify vegetation dynamics in response to lagomorph and shrub exclusion on the Jornada Experimental Range from 1938-2001. Data consist of vertical line intercept measures of the perennial grasses, suffretescents and shrubs. Sixteen plots at each of 3 sites (Gravelly Ridges, Dona Ana exclosure, and Parker Tank) were established in 1938-39. Plots were 21.3 x 21.3 m with a 7.6 m buffer zone between each. Plots were divided into east and west halves and 14 randomly located 10.65 m transects were located in each half plot. Vegetation was measured using vertical line intercepts in 1938, 1947, 1956, 1960, 1967, 1989, 1995, and 2001 for the Gravelly Ridges site, and in 1938/9, 1947, 1960, 1967, and 2001 for the Parker Tank and Dona Ana sites. The treatments include lagomorph exclusion (using wire fencing), shrub removal (hand grubbing at the ground surface), furrowing (shallow, hand raked furrows to trap surface water), and seeding (broadcast applications of seeds of native perennials). Seeding and furrowing treatments were only applied in 1939. Lagomorph exclusion has persisted since establishment, and shrub removal treatments have been reapplied immediately following all years of vegetation sampling. The dataset contains information on the site, year of data collection, plot number, line number, vegetation, and number of vegetation present on each line. This study is complete. For more information, refer to: Havstad, K.M., R.P. Gibbens, C.A. Knorr, and L.W. Murray. 1999. Long-term influences of shrub removal and lagomorph exclusion on Chihuahuan Desert vegetation dynamics. Journal of Arid Environments 42: 155-166. https://doi.org/10.1006/jare.1999.0516
Figs. 46 and 47 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 46 and 47. Vespa tropica color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 40 and 41 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 40 and 41. Vespa color forms, (a) Lateral view. (b) Dorsal view. (c) Front view of face. Fig. 40. V. orientalis. Fig. 41. V. philippinensis.
Figs. 36 and 37 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 36 and 37. Vespa mocsaryana color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 38 and 39 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 38 and 39. Vespa multimaculata color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 29 and 30 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 29 and 30. Vespa color forms, (a) Lateral view. (b) Dorsal view. (c) Front view of face. Fig. 29. V. dybowskii. Fig. 30. V. fervida.
Figs. 27 and 28 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 27 and 28. Vespa ducalis color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 33–35 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 33–35. Vespa mandarina color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 25 and 26 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 25 and 26. Vespa crabro color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 21 and 22 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 21 and 22. Vespa color forms, (a) Lateral view. (b) Dorsal view. (c) Front view of face. Fig. 21. Vespa binghami. Fig. 22. Vespa crabro.
Figs. 17 and 18 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 17 and 18. Vespa color forms. (a) Lateral view. (b) Dorsal view. (c) Front view of face. Fig. 17. V. basalis. Fig. 18. V. bellicosa.
Figs. 13 and 14 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 13 and 14. Vespa morphology. (a, b) Dorsal view of scutum. (c, d) Lateral view of pronotal lobe. (e, f) Lateral view of anterior pronotal carina. (a) V. basalis. (b) V. ducalis. (c) V. vivax. (d) V. velutina. Fig. 14. V. affinis coloration. (a) Lateral view. (b) Dorsal view. (c) Front view of face.
Figs. 5–8. Vespa morphology. Fig. 5 in The Diversity of Hornets in the Genus Vespa (Hymenoptera: Vespidae; Vespinae), Their Importance and Interceptions in the United States
Figs. 5–8. Vespa morphology. Fig. 5. Lateral view of metasomal tergum 2. Fig. 6. (a, b) Lateral view of pretegular pronotal carina. (c, d) Front view of clypeus. Fig. 7. (a, b) Front view of clypeus. (c, d). Dorsal view of vertex. Fig. 8. (a, c) Lateral view of metasoma. (b, d, e) Dorsal view of metasoma. Fig. 5a, V. fervida. Fig. 5b, V. luctuosa. Figs. 6a, 6c, 7a, 8a, 8c, V. philippinensis. Figs. 6b, 6d, V. velutina. Figs. 7b, 7e, 7f V. tropica. Figs. 7c, 7d, 8d, V. ducalis. Fig. 8b, V. bicolor.
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.