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12,625 results for “LINE”
Caribou Poker Creek Research Watershed GIS Data: Steam Lines
Stream lines generated for 63,360 Digital Line Graphics (DLG) in and near our research areas in the Caribou Poker Creek Research Watershed. Geospatial_Data_Presentation_Form: vector digital data.
Bonanza Creek Experimental Forest GIS Data: Stream Lines
This data package contains the streams lines generated for 63,360 Digital Line Grafics (DLG) in and near our research areas in the Bonanza Creek Experimental forest. Geospatial_Data_Presentation_Form: vector digital data.
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 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
CBS06 Line transects surveys of breeding birds throughout Konza Prairie
Like CPB01 and PBG051, this dataset includes records of bird species based on line transect sampling. These surveys re-initiate most of the original KNZ transects surveyed from 1981-2009 (initiated by Zimmerma), continue the two focal 300-m transects conducted from 2011-2016 by Sandercock on watersheds C3A, C3B, C3C, C1A, and 1D, (but not the peripheral segments which have been dropped), and adds two new 300-m transects to additional watersheds with the goals of (i) replicating all surveyed treatments at the watershed level, (ii) adequately sampling the grassland habitats present on Konza as of 2017, (iii) capturing transitions in bird community in response to woody encroachment and fire reversal treatments. The goals are to document and quantify long-term changes in the population sizes of breeding birds at Konza prairie by obtaining a standardized measure of annual breeding bird abundance at the site level and individual watershed or treatment level.
EVFS incoming power lines KML shapefile and coordinates
The coordinates and shapefile (kml) of the incoming power lines near El Verde Field Station
Terminus lines of the Marr Piedmont Glacier at Palmer Station, Antarctica, from 1963 to 2023.
The Marr Piedmont glacier behind Palmer Station, on Anvers Island, Antarctica, has been in retreat for several decades. Since 1963, the terminus of the glacier has been intermittently mapped, initially with arial imagery, and then with GPS surveys. Annual mappings have occurred from 2017 onwards. This dataset includes both point and line GeoPackage spatial vector files, each of which includes the mapped terminus lines from each available year as individual layers.
Processed data of single cell RNAseq of 8 human cell lines
<p>Cell annotation and UMI count matrix for 8 human cell lines:</p> <ul> <li>HCT116</li> <li>IMR90</li> <li>A549</li> <li>Ramos</li> <li>H1437</li> <li>HEK293</li> <li>K562</li> <li>Jurkat</li> </ul> <p>The data set is part of the publication in https://rdcu.be/bYEsu</p> <p> </p>
Figures 3–5. Sonoma squamishorum. Scale line equals 0.1 in Survey of rove beetles (Coleoptera, Staphylinidae) from Stanley Park, Vancouver, British Columbia, Canada, with new records and description of a new species. Part 2
Figures 3–5. Sonoma squamishorum. Scale line equals 0.1 mm: 3 ventral view male genitalia 4 ventral view male sternite 6 5 ventral view female sternites 6–7.
Prediction of nucleosome dyads for the K562 cell line in the hg19 genome assembly
<p><strong><a href="https://andre-rendeiro.com/2015/05/12/predicting_dyads_from_mnase">Predicting dyads from MNase-seq data</a></strong></p> <p>I needed the location of nucleosomal dyads in the K562 cell line (ENCODE tier 1 line). Surprisingly, although plenty of MNase-seq data for that cell line is available, no nucleosome and dyad prediction exists.</p> <p><strong>Running NuMap</strong></p> <p>I found the <a href="http://www-hsc.usc.edu/~valouev/NuMap/NuMap.html">NuMap</a> software by Anton Valouev to do exactly what I intended.</p> <p>Since it is in a somewhat obscure page and this seemed to be the only place where this software was, I have <a href="https://github.com/afrendeiro/NuMap">uploaded it into a Github repository</a> for the sake of preservation (<a href="https://github.com/orphancode/NuMap">https://github.com/orphancode/NuMap</a>).</p> <p>Predicting dyads from MNase-seq data with NuMap seemed trivial: I downloaded the <a href="http://hgdownload.cse.ucsc.edu/goldenPath/hg19/encodeDCC/wgEncodeSydhNsome/">K562 MNase-seq data set</a> (11 replicates ~85Gb!!), combined all replicates and ran NuMap on the data(instructions on the Github README).</p> <p>From NuMap output there are <a href="https://www.dropbox.com/s/asmp7bi40lrvtjb/K562_dyads.bed?dl=0">dyad positions in bed format</a> and you can also produce several metrics to evaluate how good the prediction was.</p> <p><strong>Distograms & phasograms</strong></p> <p>Valouev describes two measurements of the frequencies of distances between MNase-seq reads. The frequency of distances between reads mapping to opposite strands can be used to build a “distogram”, which ilustrates the expected nucleosome length (147 bp) - this is consistent across most eukaryotic cells. The frequency of distances between reads mapping to the same strand gives a measurement of the distance between nucleosomes, as they’re separated by some linker DNA - (Valouev calls this plot a “phasogram”). This measurement, on the other hand tends to be species and cell-type specific.</p> <p><strong>K562 predictions:</strong></p> <p>The expected 147 bp nucleosome length in K562 cells.</p> <p>The average distance between dyads in K562 cells seems to be 185 bp.</p> <p><strong>References:</strong></p> <p>Valouev, A., Johnson, S. M., Boyd, S. D., Smith, C. L., Fire, A. Z., Sidow, A. (2011). Determinants of nucleosome organization in primary human cells. Nature, 474(7352), 516–520. <a href="http://doi.org/10.1038/nature10002">http://doi.org/10.1038/nature10002</a></p>
Fig. 11. Psammoecus simoni Grouvelle, 1892, lectotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale
Fig. 11. Psammoecus simoni Grouvelle, 1892, lectotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.
Fig. 8. Pammoecus marginicollis Grouvelle, 1908, holotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale
Fig. 8. Pammoecus marginicollis Grouvelle, 1908, holotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.
Fig. 12. Psammoecus spinosus Grouvelle,1882, specimen from Bingerville. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale
Fig. 12. Psammoecus spinosus Grouvelle,1882, specimen from Bingerville. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.
Sealing. Oval sealing in terracotta with a two line inscription in an oval cartouche.
<p>Sealing. Oval sealing in terracotta with a two line inscription in an oval cartouche. British Museum 2005,0814.22.</p> <p> </p> <p> </p> <p> </p>
Sealing. Oval sealing in terracotta with a one line inscription in an oval cartouche on one side, on the other a small trident before a small inscription stamped in a rectangular recess.
<p>Sealing. Oval sealing in terracotta with a one line inscription in an oval cartouche on one side, on the other a small trident before a small inscription stamped in a rectangular recess. British Museum 2005,0814.20.</p>
Sealing. Circular sealing in terracotta with a trident; one line inscription below; ridge at the top.
<p>Sealing. Circular sealing in terracotta with a trident; one line inscription below; ridge at the top. British Museum 2005,0814.21.</p>
Data and scripts for SCLC_CellMiner: Integrated Genomics and Therapeutics Predictors of Small Cell Lung Cancer Cell Lines based on their genomic signatures
<p>This is the repository of data and scripts for the analysis of the CellminerCDB-SCLC manuscript and website (<a href="https://discover.nci.nih.gov/SclcCellMinerCDB/">https://discover.nci.nih.gov/SclcCellMinerCDB/</a>)</p> <p> </p> <p>CellMiner-SCLC (https://discover.nci.nih.gov/SclcCellMinerCDB) integrates 118 patient-derived cell lines with drug sensitivity and genomic datasets, including high resolution methylome and RNAseq data. CellMiner-SCLC provides a new resource for SCLC research for this “recalcitrant cancer”. Of fundamental importance, we demonstrate the reproducibility and stability of the cell line datasets from different institutions (CCLE, GDSC, CTRP, NCI and UTSW). We validate the classification based on four master transcription factors: NEUROD1, ASCL1, POU2F3 and YAP1 and show transcription networks connecting them with the MYC genes (MYC, MYCL1 and MYCN) and the NOTCH and HIPPO pathways. We find that the 4 subsets express specific surface markers for antibody-targeted therapies. The YAP1-driven (SCLC-Y) cell lines differ from the other subsets by expressing the NOTCH pathway, epithelial-mesenchymal-transition (EMT) and antigen-presenting machinery (APM) genes, and by responding to mTOR and AKT inhibitors, suggesting the potential of NOTCH modulators, YAP1 inhibitors and immune checkpoint inhibitors for SCLC-Y tumors.</p>
Figure 2. Summer core area delineation. The straight line with a in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)
Figure 2. Summer core area delineation. The straight line with a slope of –1 represents the random use of space within the population seasonal range. The curve that sags below the line of random use represents the clumped use of space. The summer core area can be defined at the point whose tangent has slope –1, e.g. 85%, that is, whose tangent is parallel to the line of random use. This is also the point of the curve that is furthest from the line of random use.
Architectural Feature Re-Modularization for Software Product Line Evolution
<p>Extensive maintenance leads to the Software Product Line Architecture<br> (PLA) degradation over time. When there is the need of<br> evolving the Software Product Line (SPL) to include new features,<br> or move to a new platform, a degraded PLA requires considerable<br> effort to understand and modify, demanding expensive refactoring<br> activity. In the state of the art, search-based algorithms are used to<br> improve PLA at package level. However, recent studies have shown<br> that the most variability and implementation details of an SPL are<br> described in the level of classes. There is a gap between existing<br> approaches and existing practical needs. In this work, we extend<br> the current state of the art to deal with feature modularization in<br> the level of classes by introducing a new search operator and a set<br> of objective functions to deal with feature modularization in a finer<br> granularity of the architectural elements, namely at class level. We<br> evaluated the proposal in an exploratory study with a PLA widely<br> investigated and a real-world PLA. The results of quantitative and<br> qualitative analysis point out that our proposal provides solutions<br> to properly re-modularize features in a PLA, being preferred by<br> practitioners, in order to support the evolution of SPLs.</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.