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23 results for “site boundaries”

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zenodo48/100

Atomistic Structures discussed in "Segregation-enhanced grain boundary embrittlement of recrystallised tungsten evidenced by site-specific microcantilever fracture"

<p>The tar file Sigma7_GB.tar contains all data to reproduce the results shown and discussed in the Publication "Segregation-enhanced grain boundary embrittlement of recrystallised tungsten evidenced by site-specific microcantilever fracture", DOI: <a href="https://doi.org/10.1016/j.actamat.2023.119256">10.1016/j.actamat.2023.119256</a></p><p>It contains three folders for the grain boundary creation, decoration with P atoms, and fracture simulations.<br>The naming conventions and additional information are provided in README.txt files in the directories.</p>

opencc-by-4.0Oct 2023View details →
edi48/100

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).

openCC0Jan 2023View details →
edi44/100

Long Term Ecological Research (LTER) Network Site Boundaries

This is a set of Long Term Ecological Research (LTER) site boundaries preserved as a shapefile. Note that for some sites “real” boundaries are included while others–particularly marine sites–use a simpler bounding box method. Each site is listed both with its three-letter abbreviation and its unabbreviated name. World Geodetic System 1984 (WGS84) is the coordinate reference system used (EPSG:4326). More information about any of the sites can be found on the LTER Site Profiles page on the LTER Network website (https://lternet.edu/site). This data product was made possible by the contributions of the Information Managers for the LTER sites, each of whom contributed their sites' boundaries. This version of the data includes the following changes from the prior version: - Arctic (ARC) updated - Cedar Creek (CDR) updated - Florida Coastal Everglades (FCE) updated - Harvard Forest (HFR) updated - Konza Prairie (KNZ) updated - McMurdo Dry Valleys (MCM) updated - Moorea Coral Reef (MCR) updated

openCC (other)Sep 2024View details →
zenodo40/100

LTER Site Oberes Stubachtal (Austria) - Boundary (polygon, shp)

<p>LTER Site Oberes Stubachtal - Boundary (polygon, shp)</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Text-fig. 1. Palaeogeographical scheme (distribution of land and sea basins) in part of Eurasia at the beginning of the Late Cretaceous (modified from Spicer et al. 2008). The green leaf symbol indicates the site of the Arman Flora. Asterisks indicate the Okhotsk-Chukotka volcanogenic belt. Dashdotted line indicates the boundary between the Siberian- Canadian and Euro-Sinian palaeofloristic regions (modified from Vakhrameev 1991). in On The Likely Palaeoelevation Of The Turonian - Coniacian Arman Flora Site (North-Eastern Asia)

Text-fig. 1. Palaeogeographical scheme (distribution of land and sea basins) in part of Eurasia at the beginning of the Late Cretaceous (modified from Spicer et al. 2008). The green leaf symbol indicates the site of the Arman Flora. Asterisks indicate the Okhotsk-Chukotka volcanogenic belt. Dashdotted line indicates the boundary between the Siberian- Canadian and Euro-Sinian palaeofloristic regions (modified from Vakhrameev 1991).

opencc-by-4.0Aug 2018View details →
zenodo36/100

Mounded Site Boundaries

<p>The dataset contains multi-period mounded site boundaries, mainly from the Khabur Basin. Please note the dataset is solely based on a desktop survey of CORONA imagery (https://corona.cast.uark.edu/). Therefore, no accuracy test was performed on the ground. Some polygons may be connected to each other if sites were considerably close together.&nbsp;</p> <p>Projection: WGS 84 / UTM zone 37N (EPSG: 32637)</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Planetary Boundary Layer Height Retrievals from Micropulse-lidar at four Multiple ARM Sites Around the World

<p><span>Planetary Boundary Layer Height Retrievals from Micropulse-lidar at the following ARM campaigns: GOAMAZON (MAO), COPS (FKB), CACTI (COR), and BAECC (TMP).</span><span>&nbsp;These retrievals&nbsp;</span><span>were computed</span><span>&nbsp;using the Different Thermo-Dynamic Stabilities (DTDS) algorithm &nbsp;</span><span>(Su et al., 2020; Su et al., 2022)</span><span>. &nbsp;The&nbsp;quality-control flag&nbsp;is provided&nbsp;in&nbsp;the&nbsp;dataset file, where zero (0) indicates a high-quality flag.&nbsp;</span></p> <p>Su, T., Zheng, Y. and Li, Z., 2022. Methodology to determine the coupling of continental clouds with surface and boundary layer height under cloudy conditions from lidar and meteorological data. Atmospheric Chemistry and Physics, 22(2), pp.1453-1466.</p> <p>Su, T., Li, Z. and Kahn, R., 2020. A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions. Remote Sensing of Environment, 237, p.111519.</p> <p><span>Rold&aacute;n-Henao, N., Su, T., and Li, Z. (2024, under review). Refining Planetary Boundary Layer Height Retrievals from Micropulse-lidar at Multiple ARM Sites Around the World. Submitted to <em><span>Journal of Geophysical Research: Atmospheres.&nbsp;</span></em></span></p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Eastern DRC boundaries and ASM sites

<p>Initial input dataset</p>

opencc-by-4.0Sep 2023View details →
dryad32/100

Atmospheric boundary layer intensive sounding data at Cangzhou site

Open the record for dataset details and reuse information.

publicApr 2021View details →
nasa28/100

LBA-ECO LC-09 Natural, Infrastructure, and Boundary Features, Amazonian Sites, Brazil

This data set includes 16 zipped archives of shapefiles of cities, rivers and streams, roads, and study area boundaries of several Amazonian study sites: Altamira, Santarem, Bragantina, and Ponta de Pedras, in the state of Para, and 1 site at Machadinho D'Oeste, in the state of Rondonia. Data from Brazil were digitized from Instituto Nacional de Colonizacao e Reforma Agraria (INCRA) maps and other data from Instituto Brasileiro de Geografia e Estatistica (IBGE). These products were prepared in the 2000-2004 time period. The data of creation for the source material is unknown.

restrictednotspecifiedApr 2025View details →
geo24/100

The essential role of CTCF binding site at TAD boundaries in modulating Ifng locus chromatin interactions and transcriptional regulation [RNA-seq]

GEO Series GSE300740. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo24/100

CTCF is required to form regulatory and physical boundaries at limited sites in the Drosophila nervous system [Hi-C]

GEO Series GSE146750. Drosophila melanogaster. 8 samples. Type: Other.

openGEO-OpenJan 2021View details →
geo24/100

CTCF is required to form regulatory and physical boundaries at limited sites in the Drosophila nervous system [RNA-seq]

GEO Series GSE146751. Drosophila melanogaster. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2021View details →
geo24/100

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [4C]

GEO Series GSE211024. Mus musculus. 16 samples. Type: Other.

openGEO-OpenOct 2023View details →
geo24/100

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [ChIP-seq]

GEO Series GSE210815. Mus musculus; Homo sapiens. 147 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
geo24/100

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [RNA-seq]

GEO Series GSE225162. Homo sapiens; Mus musculus. 156 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
geo24/100

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [ATAC-seq]

GEO Series GSE210816. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
geo24/100

CTCF is required to form regulatory and physical boundaries at limited sites in the Drosophila nervous system

GEO Series GSE146752. Drosophila melanogaster. 33 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Other.

openGEO-OpenJan 2021View details →
geo24/100

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [4C-seq]

GEO Series GSE225257. Homo sapiens; Mus musculus. 248 samples. Type: Other.

openGEO-OpenOct 2023View details →
geo20/100

The essential role of CTCF binding site at TAD boundaries in modulating Ifng locus chromatin interactions and transcriptional regulation [Hi-C]

GEO Series GSE300741. Mus musculus. 3 samples. Type: Other.

openGEO-OpenAug 2025View details →

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Allen Brain Atlas

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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.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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OpenNeuro

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openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record