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1,140 results for “Colony”
Georeferenced and cropped "Half Inch" (1:126,720) maps of Burma (colonial period)
<p>Georeferenced (to WGS1984) and cropped set of about 555 historic maps of Burma at a scale of 1 inch per two miles (1:126,720) covering most of the country. Those topographic maps, originally produced and published by the Great Trigonometrical Survey of India between 1878 and 1949, have been scanned and shared with the public as "Old Survey Of India Maps” Community under a CC BY 4.0 International Licence.</p> <p>Each of the map sheet scans was georeferenced using the Latitude-Longitude corner coordinates in Everest 1830 projection. Those map sheets were cropped, keeping only the map area - to allow a seamless mosaic without the mapframe overlapping adjacent map sheets when several map sheets are put together in a GIS. Those cropped map sheets were projected from Everest 1830 to WGS1984 (EPSG:4326) - standard GPS - projection to make them easier to use and combine with other GIS data.</p> <p>Many grid cells in this dataset are covered by 2 versions of map sheets - those with hill shade and only lat-lon grid and those without hill shade and featuring a LCC map grid. </p> <p>Those map sheets can be loaded directly in any GIS such as QGIS or ESRI ArcGIS.</p> <ul> <li>The mm_HI_JBv2024_epsg4326 folder contains the cropped end georeferenced map sheets in jpg-format as well as accompagning georeference and metadata incl.<br> <ul> <li>The mm_HI_JBv2024_epsg4326_kmlLinks contains a KML file for each map sheet facilitating their easy use in Google Earth byt linking them the georeferenced map sheet file located in the mm_HI_JBv2024_epsg4326 folder. </li> <li>The mm_historicHI_EPSG4326.gdb contains three ESRI mosaic datasets to easily load all mapsheets, only mapheets with hillshading and lat-lon grid and only "regular" mapsheets without hillshading and LCC grid into ArcGIS</li> </ul> </li> <li>The mm_HI_JBv2024_scanMaps folder contains the uncropped original map scans (renamed though) in jpg-format.</li> <li>The mm_historicTopoHI_JBv2024 is a masterlist cataloguing all map sheets for easier use and matching them with the original source files as shared via the "Old Survey Of India Maps” Community (e.g. to identify new mapsheets should new maps be released)</li> </ul> <p>All georeferenced map scans are based on maps shared as part of the "Old Survey Of India Maps” via Zenodo. Links to each file can be found in the above mentined excel file and most can be also accessed through the zenodo repository below.</p> <ul> <li><a href="../records/7894128">https://zenodo.org/records/8040798</a> (128k Maps of South Asia, version 4, Published May 3, 2023)</li> </ul> <p>The file naming convention is to first give the <strong><em>number</em></strong> of the 4 degree x 4 degree block followed by the <strong><em>letter (A to P)</em></strong> of the sixteen 1 degree x 1 degree blocks in each 4 degree block eg. 38 D, and this is followed by the <strong>cardinal direction letters</strong> (NE, NW, SE, SW) to indicate the 30x30 minutes sized map position in the 1 degree block. </p> <p>This <strong><em>Number - Letter - Cardinal direction letter </em></strong>designation is followed by the <strong>year of the edition, </strong>followed by the <strong>map series type</strong> either HI-hs (hillshaded) or HI-reg (regular), followed by the <strong><em>map sheet title/name</em></strong>.</p> <p>The original files as shared as part of the "<a href="https://zenodo.org/records/11661876">Old Survey Of India Maps</a>” have been renamed to further standardize the file naming, sometimes correcting them and to make them unique in the case several editions of the same map sheet were available.</p> <p>Lineage: This version (1.01, Upload 2024-08-20) has some file attributes fixed.</p>
Fig.4. Osthimosiaglomerata. A in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.4. Osthimosiaglomerata. A.NHM BZ4972.A 1.Surface of colony showing frontally budded autozooids in various stages of development.A 2.Detail of surface with complete suboral avicularium in left central zooid, incomplete chamber of suboral avicularium in right central and lower zooids, and incomplete brood chambers distal to left central and right central zooids. B.Lateral view of lower edge of colony, with frontally budded zooids extending to base of colony, which is visible at lower edge of photograph; NHM BZ4967. C.Fractured surface through colony showing chaotic stacking of frontally budded zooids; NHM BZ4973. Scale bar in A2 200 µm; all others 1000 µm.
Fig.3. Parasmittina collum. A in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.3. Parasmittina collum. A.Distribution of colony diameters. B. Regression of colony height on colony diameter; Y = 0.408X + 0.632 mm. C.Distribu − tion of substratum diameters. D.Proportion of types of substrata on which colonies were established. E.Frequency distribution of encrusting organisms on lower surface. F.Frequency distribution of encrusting organisms on upper surface, with same identifying.Abbreviations: An, annelids (serpulids); Ar, Arca sp.; Bi, other bivalves; Br, bryozoan fragments; Ca, Cardium sp.; Ch, cheilostomes; Cy, cyclostomes; Ec, echinoid fragments; Fo, foraminiferans; Lu, Lunulites sp.; Mi, miscellaneous; Oy, oysters; Pe, pectinid bivalves, probably all Chlamys spp.; Po, poriferans.
Fig.1.Domal bryozoans from the Castle Hayne Formation. A–D in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.1.Domal bryozoans from the Castle Hayne Formation. A–D. Parasmittina collum (Canu and Bassler). A.Upper surface with multiple subcolonies vis − ible; NHM BZ4963. B.Undersurface of colony established on Chlamys; NHM BZ4964. C.NHM BZ4965.C 1.Lateral view.C 2.Undersurface, established on bivalve fragment. D.Lateral view of colony with renewed growth indicated by second lateral flange; NHM BZ4966. E, F. Osthimosia glomerata (Gabb and Horn). E.NHM BZ4967.E 1.Upper surface.E 2.Undersurface, established on Lunulites sp.E 3.Lateral view. F.Lateral view of colony with renewed growth indicated by broader flange developed above short basal portion with a curved surface consisting of frontal surfaces of zooids; NHM BZ4968. G. Multispecies dome; NHM BZ4969. G1. Upper surface. G2. Undersurface showing Chlamys substratum. G3. Lateral view. Scale bars 1 cm.
Fig.2. Parasmittina collum. A in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.2. Parasmittina collum. A.NHM BZ4963.A 1.Autozooids radiating from center of subcolony.A 2.Junction between two subcolonies, indicated by line of convergence of zooids that extends from top left to right end of scale bar. B.NHM BZ4970.B 1.Edge of colony growing across Chlamys sp.B 2.Fertile zooids, each with inflated ovicell distal to zooidal orifice. C.Underside of colony extending free beyond Chlamys substratum, with wrinkles suggestive of growth lines and larger−scale arc−shaped overlapped edges of successive subcolonies; NHM BZ4964. D.Fractured surface through colony showing moderately well defined layers of zooids that develop from a combination of local eruptive budding and lateral budding; NHM BZ4971.Scale bar in B 2 500 µm; all others 1000 µm.
Fig.7.Multispecies domes. A in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.7.Multispecies domes. A.Distribution of dome diameters. B.Regression of colony height on colony diameter; Y = 0.512X +0.927 mm. C.Distribution of substratum diameters. D.Proportion of types of substrata on which colonies were established; see Fig.3D for identifying abbreviations. E.Frequency distribution of encrusting organisms on lower surface. F.Frequency distribution of non−bryozoan encrusting organisms on upper surface.Abbreviations: An, annelids (serpulids); Ar, Arca sp.; Bi, other bivalves; Br, bryozoan fragments; Ca, Cardium sp.; Ch, cheilostomes; Cy, cyclostomes; Ec, echinoid fragments; Fo, foraminiferans; Lu, Lunulites sp.; Mi, miscellaneous; Oy, oysters; Pe, pectinid bivalves, probably all Chlamys spp.; Po, poriferans. Ą
Fig.5. Osthimosia glomerata. A in Palaeoecology of free-lying domal bryozoan colonies from the Upper Eocene of southeastern USA
Fig.5. Osthimosia glomerata. A.Distribution of colony diameters. B.Regression of colony height on colony diameter; Y = 0.715X – 1.579 mm. C.Distri − bution of substratum diameters. D.Proportion of types of substrata on which colonies were established. E.Frequency distribution of encrusting organisms on lower surface. F.Frequency distribution of encrusting organisms on upper surface.Abbreviations: An, annelids (serpulids); Ar, Arca sp.; Bi, other bivalves; Br, bryozoan fragments; Ca, Cardium sp.; Ch, cheilostomes; Cy, cyclostomes; Ec, echinoid fragments; Fo, foraminiferans; Lu, Lunulites sp.; Mi, miscellaneous; Oy, oysters; Pe, pectinid bivalves, probably all Chlamys spp.; Po, poriferans.
Fig. 1 in Seasonal prevalence of queens and males in colonies of tawny crazy ants (Hymenoptera: Formicidae) in Florida
Fig. 1. Mean ± SE (n = 3–11) number of queens (including female dealates), volume of brood (mL), and number of male alates per colony, collected monthly in Gainesville (Alachua County), Florida, USA, to show monthly fluctuations within seasons designated as winter (Dec–Feb), spring (Mar–May), summer (Jun–Aug), and fall (Sep–Nov).
Fig. 4 in Methods for collecting large numbers of exuviae from Coptotermes (Blattodea: Rhinotermitidae) termite colonies
Fig. 4. (A) Coptotermes gestroi workers under observation on a filter paper with a 0.05% Nile Blue A and deionized water solution in a Petri dish; (B) media pad with deionized water taped to the cover of the Petri dish; (C) plastic Petri dish used to hold recently molted termites and termites that acquired dye; (D) vial used to hold exuviae; and (E) plastic container lined with a paper towel moistened with deionized water.
Fig. 3 in Methods for collecting large numbers of exuviae from Coptotermes (Blattodea: Rhinotermitidae) termite colonies
Fig. 3. Coptotermes gestroi workers (n = 1,000) on a media pad saturated with a 0.05% Nile Blue A and deionized water solution in a Petri dish wrapped with Parafilm.
Fig. 2 in Methods for collecting large numbers of exuviae from Coptotermes (Blattodea: Rhinotermitidae) termite colonies
Fig. 2. Overview of the methods. Coptotermes gestroi workers (n = 1,000) were placed on a Nile Blue A-dyed media pad for 2 d in a Petri dish. Dyed and non-dyed workers were separated. Non-dyed workers, potentially under pre-molt fast, were placed on a Nile Blue A-dyed filter paper and observed for 7 d in a Petri dish. Exuviae, newly molted workers, dyed workers (that acquired dye from the filter paper during the 7 d observation), and cadavers were collected.
Fig. 1 in Methods for collecting large numbers of exuviae from Coptotermes (Blattodea: Rhinotermitidae) termite colonies
Fig. 1. Laboratory colony rearing units. (A) Plastic cylindrical vial containing moistened organic soil, wood blocks, and agar used to house termite colonies from 0 to 1-yr-old; (B) larger cylindrical vial the colony was transferred to for colonies 1 to 2-yr-old; (C) plastic container in which the uncapped cylindrical vial (pictured in B) was placed into for colonies 2 to 4-yr-old; (D) plastic container in which the uncovered container (from C) was placed into for colonies aged 4+ yr. Red line points to vial within the box that usually contains the central nest (location of reproductives and brood).
Fig. 6 in Methods for collecting large numbers of exuviae from Coptotermes (Blattodea: Rhinotermitidae) termite colonies
Fig. 6. Mean ± standard error of (A) exuviae collected; (B) newly molted individuals observed; (C) workers that acquired Nile Blue A dye during the 7 d observation; and (D) cadavers collected during observation of 163.0 ± 48.2 Coptotermes gestroi workers (n = 3) that were potentially in pre-molt fast.
Colony forming unit (CFU) data accompanying publication: Bacterial microbiome dynamics in commercial integrated aquaculture systems growing Ulva in abalone effluent water.
<p>Excel sheet with colony forming unit (CFU) data from an abalone farm growing the green seaweed <em>Ulva </em>in abalone effluent water. This dataset characterises the bacterial communities isolated from abalone effluent water entering and leaving the <em>Ulva </em>raceways, as well as from <em>Ulva </em>itself. Dataset is accompanied by two SigmaPlot files showing statistical analyses (statistical outcomes also available in publication).</p>
Colonial trade linkages: Trade policy and imports in South and Southeast Asia colonial markets (1874-1913).
Open the record for dataset details and reuse information.
2D trajectories of human pluripotent stem cell colonies
<p>This dataset is a part of the following manuscript submitted for publication in Life (MDPI):</p> <p>"Human Pluripotent Stem Cell Colony Migration is Related to Culture Environment and Morphological Phenotype"<br>by Vitaly V. Gursky, Alina S. Chabina, Olga A. Krasnova, Anastasiya A. Kovaleva, Daria V. Kriger, Michail S. Zadorsky, Konstantin N. Kozlov, and Irina E. Neganova</p> <p>A trajectory in the csv file is an array of the 2D coordinates {{x1,y1}, {x2,y2}, ...} (in µm; centered at {x,y}={0,0}), which represent the migration history of the center of one cell colony. Trajectories were obtained from the time-lapse bright-field images, using the Manual Tracking tool in ImageJ (Fiji). The data were collected for colonies from three human pluripotent stem cell lines (human induced pluripotent stem cell line AD3, patient specific human induced pluripotent stem cell line HPCASRi002-A (CaSR), and human embryonic stem cell line H9), grown under two culture conditions (media/matrix = mTESR1/MG or E8/GT). The colonies were phenotyped according to their morphological characteristics associated with the pluripotency status ("good" and "bad" phenotype); cells with the "bad" phenotype showed signs of incipient differentiation. The time interval between adjacent coordinates is 15 min.</p> <p>The data were obtained under the financial supprot of the Russian Science Foundation, grant number 21-75-20132.</p>
Data from: When the "selfish herd" becomes the "frozen herd": spatial dynamics and population persistence in a colonial seabird
Aggregations are common in ecological systems at a range of scales and may be driven by exogenous constraints such as environmental heterogeneity and resource availability or by 'self-organizing' interactions among individuals. One mechanism leading to self-organized animal aggregations is captured by Hamilton's 'selfish herd' hypothesis, which suggests that aggregations may be driven by an individual's effort to minimize their risk of predation by surrounding themselves with conspecifics. We demonstrate that aggregations observed in Adélie penguin (Pygoscelis adeliae) colonies are a convolution of both self-organized dynamics and external forcing arising from landscape terrain. In fluid, highly mobile aggregations, individuals are constantly moving in response to changing environmental conditions, the locations of predators, or the movements of conspecifics. However, when the ability to rearrange is limited and spatial reconfiguration occurs on slower time scales than changes in population size, systems may become trapped in sub-optimal arrangements. We use simulated annealing to demonstrate that Adélie penguin colonies are frozen in sub-optimal spatial arrangements, and employ an individual-based modelling approach to demonstrate that this sub-optimal spatial configuration is driven by a convolution of nest site fidelity and stochastic events at the level of individual nests. The resulting spatial dynamics are responsible for a hysteretic response to long-term changes in abundance. We find that declining abundance leads to fragmentation even in a homogeneous environment, which has population-level consequences for reproductive success because predation is biased towards colony edges. Strong edge effects from heterogeneous predation coupled with fragmentation in response to population declines creates a positive feedback cycle that can accelerate population decline. This work provides a mechanistic understanding of complex spatial structuring in penguin colonies, provides a link between current spatial patterning and past dynamics, and suggests the possibility of critical collapse in seabird populations.
Research project on field data collection for honey bee colony model evaluation - datasets
<p><strong>Description of the datasets</strong></p> <p>The file 00_MUSTB_field_data_model.docx contains the data model according to which the data collected in the context of the MUSTB field data collection were reported to EFSA. The current data model description includes some modifications with respect to the specifications published before the beginning of the project (EFSA, 2017, https://doi.org/10.2903/sp.efsa.2017.EN-1234). All the tables included in the data model are published here in csv format. The underlying schemas are also published in xsd format.</p> <p>Sites: General information about the sites where the data collection took place;</p> <p>Polygons: General information about the polygons where the botanical survey took place.</p> <p>Table I: Pesticide application, reporting data on experimental spraying events;</p> <p>Table II: Resource providing unit and landscape fitness, reporting data on abundance of flowering plants in polygons mostly within 1.5 km, but in some cases up to 3 km of the experimental colony;</p> <p>Table III: Master list of all hives included in the study;</p> <p>Table IV: Colony management, reporting the log of the beekeeper regarding input (if material was added to the hive: e.g. empty frames, chemicals for varroa treatment, sugar), output (if material was removed from the hive, e.g. honey combs, supers), queen loss, swarming, or clinical signs observed in the experimental hives;</p> <p>Table V: Hive inspection, reporting data on in-hive measurements in the experimental colonies. This table contained several types of data, including:</p> <ul> <li>Data on brood development and food provision (“cell utilization”) obtained from image analysis of combs;</li> <li>Data on forager activity obtained from automatic video recordings and image analysis by a bee counter;</li> <li>Data on hive weight obtained from automatic logging by a hive scale;</li> <li>Data on adult bee strength, obtained by weight assessment of combs with and without adult bees (“bees per comb data”);</li> </ul> <p>Table VI: SSD2, reporting data on results of laboratory analyses of pollen, pesticide residues and parasites/pathogens. These four types of laboratory analyses involved different methods, and were reported according to different standards. Therefore, a number of the fields in the technical specifications for the SSD2 table (EFSA, 2017) were not applicable for records reporting results of some analyses, in particular palynological, parasite and pathogen analyses. These fields were left empty;</p> <p>Table VII: Colony observation, reporting observations of honey bee waggle dances from observation hives. Orientation denotes the angle of the waggling phase relative to the vertical axis on the comb. Direction denotes the actual direction in the landscape, as calculated from the orientation of the waggle dance.</p> <p>In all the csv files, columns with the suffix "_desc" have been included, where relevant, to include the name corresponding to the EFSA controlled terminology used in the previous column (e.g. resUnit contains EFSA term codes while resUnit_desc contains the term names).</p> <p><strong>Data storage</strong></p> <p>All data collected during the project was stored in a relational database. The database was developed in .NET Entity Framework Core, ran on a PostgreSQL, and was hosted by Amazon Web Service during the whole duration of the project development. Data could be imported or entered manually in the database through a web form. Administrators could create new users and administrators, new sites, and new colonies, i.e., administrators were allowed to enter or change data of all tables. Users were allowed to enter data, and could view, retrieve, and modify their own data of all tables, except for Table III (description of experimental colonies). Administrators could view and retrieve all data. Data was retrieved in CSV and XML formats, and were structured to secure a smooth transmission of data to the Data Collection Framework of EFSA. Furthermore, data flow from the field data collection to the development of ApisRAM was secured by direct communication between the field and modelling teams.</p> <p> </p> <p><strong>Version 2</strong> contains the UTM coordinates in tables Sites, Polygons and Resource providing unit.</p>
Figure 1 in Colony site choice of blue-tailed bee-eaters: influences of soil, vegetation, and water quality
Figure 1. Distribution of blue-tailed bee-eater colony and soil sampling sites on Kinmen Island 2000–2002. Population estimates are given in parentheses for colonies active in 2002.
Figure 2 in Colony site choice of blue-tailed bee-eaters: influences of soil, vegetation, and water quality
Figure 2. Vegetation height profile comparisons between used (solid lines) and abandoned (dashed lines) bluetailed bee-eater nest cavities within colony (X) and between colonies (L and M).
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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.