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297 results for “Settlements”
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2013
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only Chthamalus fragilis settled on the poles.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2014
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2015
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2016
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2017
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2018
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species are occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp. This year Geukensia and Oysters that settled on the poles were counted and recorded.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2019
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Four species settled on poles and were counted and recorded: Chthamalus fragilis, Balanus spp., Geukensia demissa, and Oysters (Crassostrea virginica).
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2020
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Four species settled on poles and were counted and recorded: Chthamalus fragilis, Balanus spp., Geukensia demissa, and Oysters (Crassostrea virginica).
Long-term Barnacle Settlement Near Creekbank Plots from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean. PVC poles were deployed to passively sample barnacle settlement. Eight poles were deployed between 4-5 meters apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp. Beginning in 2018, Geukensia dimissa and Oysters (Crassostrea virginica) that settled on the poles were also counted and recorded. This data set includes observations from 2013 to 2023 and will be updated annually to include the prior year observations.
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2021
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Four species settled on poles and were counted and recorded: Chthamalus fragilis, Balanus spp., Geukensia demissa, and Oysters (Crassostrea virginica).
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2022
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Four species settled on poles and were counted and recorded: Chthamalus fragilis, Balanus spp., Geukensia demissa, and Oysters (Crassostrea virginica).
Yearly survey of barnacle settlement near creekbank plots at GCE LTER study sites in October 2023
To characterize spatial variation in barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean, we deployed PVC poles to passive sample barnacle settlement. Eight poles were deployed between 4-5m apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Four species settled on poles and were counted and recorded: Chthamalus fragilis, Balanus spp., Geukensia demissa, and Oysters (Crassostrea virginica).
Pan‐Arctic Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea‐Level Rise, and Permafrost Thaw
<p>The datasets are issued from the combination of records of the ESA EO4PAC and Permafrost_cci and HORIZON 2020 Nunataryuk projects. The EO4PAC project aimed to develop a new generation of geospatial products for the observation of permafrost and associated changes from space with a special focus on the coastal Arctic. Four components were considered in the creation of the datasets:</p> <p>(1) Landsat-7/8 for the detection of coastline changes over the 2000-2020 period (Tanguy et al., 2024).</p> <p>(2) Sentinel-1/2 for the detection and mapping of coastal infrastructures (Bartsch et al. 2024), updating Wang et al. (2021).</p> <p>(3) Permafrost_cci timeseries for retrieval of trends of ground temperature and active layer thickness for the 2000-2020 period (Obu et al. 2021a,b), evaluated based on Martin et al (2023) and CALM et al. (2024).</p> <p>(4) Sea level rise by 2100 (Garner et al. 2022).</p> <p>The respective output provides a consistent mapping of settlements along arctic and permafrost-dominated coasts (2), and associated coastline and permafrost conditions changes during the last 20 years (1, 3). Combined together, an assessment of Arctic infrastructures at risk due to permafrost change (GT, ALT) and coastline erosion was possible, the latter with projections for the years 2030, 2050 and 2100.<a name="_heading=h.jkogrw14ymt"></a></p> <p>References</p> <p>Bartsch, Annett, Pointner, Georg, & Nitze, Ingmar. (2023). Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI) (Version 2) [Data set]. Zenodo. https://zenodo.org/records/10160636.</p> <p>CALM, GTN-P, Wieczorek, M., Heim, B., Streletskiy, D., Bartsch, A., 2024, GTN-P CALM: 34 years of Active Layer Thickness (ALT) across latitudinal and elevational gradients in the Northern Hemisphere [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.972777</p> <p>Garner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., et al. (2022). IPCC AR6 sea level projections [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.6382554">https://doi.org/10.5281/zenodo.6382554</a></p> <p>Martin, Julia; Boike, Julia; Chadburn, Sarah; Zwieback, Simon; Anselm, Norbert; Goldau, Maybrit; Hammar, Jennika; Abramova, Ekatarina N; Lisovski, Simeon; Coulombe, Stéphanie; Dakin, Brampton; Wilcox, Evan James; Giamberini, Mariasilvia; Rader, Fieke; Suominen, Otso; Rudd, Daniel Alexander; Mastepanov, Mikhail; Young, Amanda (2023): T-MOSAiC 2021 myThaw data set [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.956039, In: Boike, Julia; Hammar, Jennika; Goldau, Maybrit; Miesner, Frederieke; Anselm, Norbert (2024): Circumarctic seasonal measurements of permafrost parameters (thaw depth, snow depth, vegetation and tree height, water level and soil properties) [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.971787</p> <p>Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G., Irrgang, A., Kääb, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M., Strozzi, T., Wegmüller, U., Wieczorek, M., and Wiesmann, A.: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0, CEDA, 2021. <a href="https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85">https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85</a></p> <p>Obu, J., Westermann, S., Barboux, C., Bartsch, A., Delaloye, R., Grosse, G., Heim, B., Hugelius, G., Irrgang, A., Kääb, A. M., Kroisleitner, C., Matthes, H., Nitze, I., Pellet, C., Seifert, F. M., Strozzi, T., Wegmüller, U., Wieczorek, M., and Wiesmann, A.: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0, CEDA, 2021. <a href="https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85">https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85</a></p> <p>Tanguy, R., Bartsch, A., Nitze, I., Irrgang, A., Petzold, P., Widhalm, B., von Baeckmann, C., Boike, J., Martin, J., Efimova, A., Vieira, G., Whalen, D., Heim, B., Wieszorek, M., Grosse, G.: Pan‐Arctic Assessment of Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea‐Level Rise, and Permafrost Thaw, Earth’s Future, 10.1029/2024EF005013.</p> <p>Wang, S., Ramage, J., Bartsch, A., & Efimova, A. (2021). Population in the Arctic Circumpolar Permafrost Region at settlement level (Version 2) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.4529610" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.4529610</a></p>
Permafrost Thaw Settlement Dataset
<p>The Permafrost Thaw Settlement Dataset comprises four data files containing measurements, properties and derived parameters related to permafrost thaw settlement tests. This dataset is intended to support research on mechanical properties of permafrost, particularly in understanding the relationship between soil properties and thaw settlement behavior.</p> <h3><strong>Data Paper Reference</strong></h3> <p>A detailed description of the dataset, including methodology, data sources, and analysis, is provided in the accompanying data paper submitted to <em>Earth System Science Data</em>:</p> <div> <div>Mohammadi, Z., Hayley, J.L., 2025. Compilation and Analysis of Thaw Settlement Test Results: Implications for Prediction Tools and Stress-Strain Characterization in Permafrost. <a href="https://doi.org/10.5194/essd-2024-514">https://doi.org/10.5194/essd-2024-514</a></div> </div> <p>An <strong>updated GitHub repository</strong> containing fully reproducible R code and figures: → <a href="https://github.com/Zucchii/ThawSettlement_DataPaper/releases/tag/essd-pts-final">https://github.com/Zucchii/ThawSettlement_DataPaper/releases/tag/essd-pts-final</a></p> <p> </p> <p>The GitHub repository includes:</p> <ul> <li> <p>R scripts for data processing, analysis, and figure generation</p> </li> <li> <p>Pre-generated figures and processed datasets for convenience</p> </li> <li> <p>Detailed instructions for reproducing all results</p> </li> </ul>
Land transformation on multi-decadal timescales reveals expanding croplands and settlements at the expense of tree-covered areas and mangroves in Nigeria
<p>A comparative assessment of the change patterns was conducted for seven categories using multi-decadal timescales in seven agroecological zones during three time-intervals (i.e., 1986 – 2000, 2000 – 2013, and 2013 – 2022). These selected periods cover important epochs in Nigeria’s recent history. To examine how much humans have appropriated natural cover (HANLC) in Nigeria over the last four decades, we differentiated natural covers (e.g., tree-covered areas, grasslands, wetlands, and waterbodies) from human activity-related uses (e.g., cropland, artificial surfaces and otherland). To identify trajectories of changes signifying human appropriation of land cover, we evaluated the drivers and processes underlying these major transitions, 1) Natural regeneration and afforestation, 2) Cropland expansion, and 3) Settlement and infrastructure development. Cropland expansion is Nigeria’s most widespread change process with much loss of croplands related to natural regeneration and settlement expansion. The transition matrix is provided showing the extent of land-cover changes in Nigeria over almost four decades (1986 - 2022). Major land cover transitions in each agroecological zone is presented. Analysis of land cover change in each agroecological zone is over 100% when areas of persistence (i.e., areas of no change) are not considered in the analysis.</p>
SBC LTER: Settlement of urchins and other invertebrates, ongoing since 1990
The dataset comprises weekly to biweekly data on invertebrate settlement on artificial substrates at six sites in Southern California, and one site in Northern California. The study began in early 1990 and is ongoing. The study’s main focus is on urchins (Strongylocentrotus purpuratus and Mesocentrotus franciscanus), but was expanded to include selected bivalves, gastropods and crabs during the period 1994-1997. The purpose of the study is to compare and contrast patterns of settlement supply across a large geographical gradient to explore the possible influence of oceanographic features on these patterns. Both of these goals are facilitated by the long duration of the dataset, its large geographical range and the high temporal frequency of collection. See Methods for more information.
Coptic Monastic Heritage Archive (CMHA): Photographic Dataset of Monastic Settlement in Wadi Naqqat, Egypt
<p>This dataset was created as part of the Coptic Monastic Heritage Archive (CMHA) at the University of Ljubljana. It includes data and photographs of 14 monastic heritage sites in Wadi Naqqat (Eastern Desert, Egypt). Wadi Naqqat is located approximately 35 miles (55 km) west of the Red Sea town of Hurghada, in the broader region of ancient Mons Porphyrites, and dates to between the 4th and 6th centuries AD.</p> <p>The data was gathered through ground assessments conducted between 2018 and 2019 as part of the project “Endangered Hermitages: Documenting Coptic Monastic Heritage in Middle Egypt and the Eastern Desert”, led by Dr. Jan Ciglenečki (University of Ljubljana) and funded by the Antiquities Endowment Fund (AEF) of the American Research Center in Egypt (ARCE). Photographic documentation of the site was carried out by photographer Matjaž Kačičnik, using a 36-megapixel Nikon D810 digital camera, and by Dr. Jan Ciglenečki, using a 21-megapixel Canon EOS 5D Mark II digital camera. In 2024, this documentation was systematically integrated into the CMHA at the University of Ljubljana.</p> <p><span>The photographs include EXIF (GPS location, technical specs) and IPTC-IIM (e.g., Credits, Caption) and XMP metadata.</span></p>
Dataset for "The Gobolitide (Al-Jibal) microregion: geography and settlement network evolution from Nabataean to Byzantine times"
<p>Dataset for: Kopij, K. and Bała, S. (2021). The Gobolitide (Al-Jibal) microregion: geography and settlement network evolution from Nabataean to Byzantine times. Polish Archaeology in the Mediterranean 30/2) (pp. 181–201). https://doi.org/10.31338/uw.2083-537X.pam30.2.28</p>
Global Human Settlement Layer per zoom-level 18 Quadtree tile for selected countries as Spatialite database with OpenStreetMap building completeness assessment
<p>This Spatialite database contains the built-up area of the Global Human Settlement Layer (GHSL) per zoom-level 18 Quadtree tile. Additionally, it provides a comparison of the GHSL with buildings in OpenStreetMap: For each tile the built-up ratio between the building footprints and the GHSL is given and a binary completeness assessment (buildings complete, not complete) is provided for easy use. This dataset was created using the obmgapanalysis tool: https://git.gfz-potsdam.de/dynamicexposure/openbuildingmap/obmgapanalysis</p>
Animal bones from Iron Age settlements in Scania, Southern Sweden
<p>This data is a compilation of the zooarchaeological record from Iron Age settlements in Scania, southern Sweden. It consists of data from various technical reports produced between 1961 to 2019, by different analysts. Published reports and unpublished but archived communications are included. This data may be of interest to anyone interested in archaeological themes involving animals in any kind, such as economy, animal husbandry, animal production, hunting, fishing, and so on. It may also be of paleozoological interest, as it contains valuable fauna historical information such as presence of wild species of different kinds. </p> <p>The database is the basis for the published catalogue included in the book "Animal husbandry in Iron Age Scania, with a catalogue" published 2022. The book is open acess and you can download it via this link: https://www.ht.lu.se/en/series/9128370/</p> <p>The data can bee accessed through a one .csv-file, which is an export of the data set which was originally recorded in a MS Access-database. Both files are published in this version. The dataset consists of data on 130 animal bone assemblages from 101 Scanian settlement sites.</p> <p>The original Access-database, with two levels, one (Site) with descriptive information on the archaeological site (totally 12 variables), and one (zooarch-overview) with quantitative data on number of specimens, in general and per recorded taxa (totally 35 variables). Presence of bird, fish, amphibian and wild mammalian taxa is also included. </p> <p>Included is a READ ME (.csv) describing the data set in more detail.</p> <p>ERRATA (READ ME-file): No of observations is 130, not 131.</p>
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