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No Man's Sky Patch Keywords for the article "Adapting the Harris Matrix for Software Stratigraphy"
<p>Full list of <em>No Man's Sky</em> patch keywords for the article "Adapting the Harris Matrix for Software Stratigraphy" published in <em>Advances in Archaeological Practice.</em></p>
No Man's Sky Patch Notes and Links for the article "Adapting the Harris Matrix for Software Stratigraphy"
<p>This file contains the HTML of all of the <em>No Man's Sky</em> patch notes, plus links, as supplemental online material for "Adapting the Harris Matrix for Software Stratigraphy" as published in <em>Advances in Archaeological Practice</em> 2018.</p>
No Man's Sky Patch Types and Subtypes for the article "Adapting the Harris Matrix for Software Stratigraphy"
<p>Full data set of <em>No Man's Sky</em> patch types and subtypes used in the article "Adapting the Harris Matrix for Software Stratigraphy" published in <em>Advances in Archaeological Practice</em>.</p>
Datasets to Transient Attracting Profiles in the Great Pacific Garbage Patch
<h1>Summary</h1> <p>This repository contains supplementary datasets to the publication Transient Attracting Profiles in the Great Pacific Garbage Patch (<a href="https://doi.org/10.5194/egusphere-2024-1215" target="_blank" rel="noopener">Kunz et al., 2024, preprint</a>). TRansient Attracting Profiles (TRAPs, <a href="http://doi.org/10.1038/s41467-020-16281-x" target="_blank" rel="noopener">Serra et al. (2020)</a>, <a href="https://doi.org/10.1063/1.4951720" target="_blank" rel="noopener">Serra and Haller (2016)</a>) have been computed using the TRAPs detection software by <a href="https://github.com/MattiaSerra/TRAPs" target="_blank" rel="noopener">Mattia Serra (2020)</a>. Raw TRAPs were further post-processed, tracked and analysed using software by <a href="https://github.com/kunzluca/trapsgpgp" target="_blank" rel="noopener">Luca Kunz (2024)</a>. Here we provide two comprehensive datasets:</p> <ol> <li> <p>the <strong>TRAPS GPGP</strong> dataset: This dataset contains 20 years of TRAP detections with various attributes like e.g. TRAP lifetimes, propagation speeds and pattern detections in the surrounding vorticity field. It comes in 20 yearly files named <code>MULTIOBS_24HI_e025_TRAPS_GPGP_20XX.pkl</code>.</p> </li> <li> <p>the <strong>TRAPS DRIFTERS HPS</strong> dataset: This dataset contains 20 years of drifter-TRAP pair detections with attributes like e.g. drifter-TRAP distances, drifter retention times and TRAP attraction strengths. It comes in one file named <code>MULTIOBS_24HI_e025_GDP_24HI_TRAPS_DRIFTERS_HPS_0019_r075.pkl</code>.</p> </li> </ol> <p> </p> <p>You can use these scripts to open the datasets and follow the analysis in Kunz et al. (2024):</p> <p><code>aa_define_classes.ipynb</code><br><code>rxa_read_TRAPS_GPGP.ipynb</code><br><code>rxb_read_TRAPS_DRIFTERS_HPS.ipynb</code><br><code>rxc_ANALYSIS_EXAMPLES.ipynb</code></p> <p>Make sure you adopt the directory structure that is provided here. You can use the .yml file to set up the working environment via <code>conda env create -f trapsgpgp_condaenvexport.yml</code> or <code>conda create -n trapsgpgp -f trapsgpgp_condaenvexport.yml</code>.</p> <p>For supplementary videos, see: <a href="https://doi.org/10.5281/zenodo.10943728">https://doi.org/10.5281/zenodo.10943728</a></p> <h1>Source data</h1> <p>Raw TRAPs and relative vorticity are derived from daily snapshots of near-surface geostrophic + Ekman currents from the product Global Total Surface and 15m Current (COPERNICUS-GLOBCURRENT) from Altimetric Geostrophic Current and Modeled Ekman Current Reprocessing that is provided by the E.U. Copernicus Marine Service (<a href="https://doi.org/10.48670/moi-00050" target="_blank" rel="noopener">CMEMS, 2022a</a>). Surface drifter positions have been consulted from the Global Drifter Program (<a href="https://doi.org/10.25921/7ntx-z961" target="_blank" rel="noopener">Lumpkin and Centurioni, 2019</a>). This repository does not include raw TRAP detections, raw drifter data or relative vorticity fields but they can be shared upon request.</p> <h1>Acknowledgements</h1> <p>This work is a contribution to the project <a href="https://www.trr-energytransfers.de/research/area-l/l3" target="_blank" rel="noopener">L3 Meso- to submesoscale turbulence in the ocean</a> of the Collaborative Research Centre TRR 181 Energy Transfer in Atmosphere and Ocean funded by the German Research Foundation (DFG) and has been conducted in collaboration with <a href="https://theoceancleanup.com/" target="_blank" rel="noopener">The Ocean Cleanup</a>.</p> <h1>Please cite</h1> <p>When using the data, please cite</p> <p>Kunz, L., Griesel, A., Eden, C., Duran, R., and Sainte-Rose, B.: Transient Attracting Profiles in the Great Pacific Garbage Patch, Ocean Sci., 20, 1611–1630, <a href="https://doi.org/10.5194/os-20-1611-2024">https://doi.org/10.5194/os-20-1611-2024</a>, 2024. </p> <p>and provide a link to the repository.</p>
Figure 2 in Polychaete assemblages associated with the invasive green alga Avrainvillea amadelpha and surrounding bare sediment patches in Hawaii
Figure 2. nMDS ordinations of polychaete assemblages: A, using data of all taxa; B, bubbles indicating abundance in number of individuals; C, bubbles indicating values of Shannon–Wiener diversity; D, bubbles indicating values of Pielou's Evenness.
Figure 1 in Polychaete assemblages associated with the invasive green alga Avrainvillea amadelpha and surrounding bare sediment patches in Hawaii
Figure 1. Map of the study area showing the algae ('A' stations; circles) and sediment stations ('S' stations; squares).
Research data for: On the persistent shape and coherence of pulsating auroral patches
<p>Data for the research article: On the persistent shape and coherence of pulsating auroral patches in Journal of Geophysical Research: Space physics. For example all-sky imager movies of 557.7 nm pulsating/fluctuating aurora on 1 March 2012. </p>
Grazing-related nitrous oxide emissions: from patch scale to field scale - Dataset
<p>Dataset presented and referenced in the corresponding Biogeosciences publication by Voglmeier et al. (2019) [see Related identifiers]. The dataset results from a field experiment in Posieux, Switzerland. During that experiment N2O emissions of two pasture systems were measured over an entire grazing season in 2016. Field scale emissions were quantified using the eddy covariance method while small scale emissions from excreta and background patches were measured with the fast-box technique. The spreadsheet file contains half-hourly values of measured soil and meteo data. A second sheet contains information about the processed fast-box fluxes. Detailed information on the measurement methods and the data evaluation is presented in Voglmeier et al. (2019).</p>
Text-fig. 8. Mytoconula vonkai sp. n. Specimen NM L 38914, internal mould with patches of shell. A – apical view, ×......; B – oblique posterior view showing radial ribs on internal mould, ×......; C – anteri- or part with a large patch of shell with irregular incremental structures, ×......; D – left lateral view, ×......;. Dobrotivá F., Malé Přílepy. in Patelliconus Horný, 1961 And Mytoconula Gen. N. (Mollusca, Tergomya) From The Ordovician Of Perunica
Text-fig. 8. Mytoconula vonkai sp. n. Specimen NM L 38914, internal mould with patches of shell. A – apical view, ×......; B – oblique posterior view showing radial ribs on internal mould, ×......; C – anteri- or part with a large patch of shell with irregular incremental structures, ×......; D – left lateral view, ×......;. Dobrotivá F., Malé Přílepy.
Figure 2 in Food patch particularity and forging strategy of reintroduced Przewalski's horse in North Xinjiang, China
Figure 2. Feed patches area and the corresponding feeding time unit area. Black bars represent each feed patch area in km2 while white bars represent the corresponding feeding time per unit area in min/km2.
Figure 2 in Effect of patch size of the exotic host plant Calotropis procera (Apocynaceae) on herbivory
Figure 2 Boxplots of the percentage of herbivory between patches ofC. procera of different sizes (number of individuals) in the Caatinga, Pernambuco, Brazil. Each circle represents the average percentage of herbivory of the branches of each individual sampled. The horizontal thick grey band represents the median value, the boxplot margins indicate first and third quartiles, the whiskers represent the maximum/minimum value within one and a half times the interquartile range.
Figure 1 in Effect of patch size of the exotic host plant Calotropis procera (Apocynaceae) on herbivory
Figure 1 (A) Adult individual of Calotropis procera in a pasture area in the Caatinga, Pernambuco, Brazil; (B) early and (C) late instars of Danaus erippus.
EOL Dynamic Hierarchy Patch: EOL Dynamic Hierarchy Patch 2.2
<p>A taxonomic patch for the <a href="https://eol.org/docs/eol-dynamic-hierarchy">EOL dynamic hierarchy</a>.</p>
EOL Trilobites Patch: EOL Trilobites Patch
<p>Trilobite species from the Paleobiology database.</p>
Figure 49 in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 49. Shell size ranges of Amplirhagada species described herein. Box plot diagrams showing the median (line in box), the 25% (box) and 75% percentile (lines outside box) and extremes (asterisks) of shell height (above) and shell width (below) of species sorted by their height. Species numbers refer to the manuscript names of the described species as used by Solem (1991): 27, A. coffea. 29, A. lindsayae. 22, A. vialae. 26, A. inusitata. 19, A. alicunda. 31, A. bendraytoni. 28, A. gardneriana. 35, A. epiphallica. 21, A. davidsoniana. 24, A. discoidea. 17, A. atlantis. 33, A. angustocauda. 25, A. forrestiana. 20, A. moraniana. 36, A. carinata. 18, A. carsoniana.
Figure 48 in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 48. Penial anatomy of Amplirhagada carinata Solem, 1981. (A) Interior anatomy of the penial wall (WAM S34759). (B) Interior anatomy of the penial wall (WAM S34763). For labelling of structures see Fig. 4. Scale bars = 3 mm.
Figure 46. Amplirhagada carinata Solem, 1981 in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 46. Amplirhagada carinata Solem, 1981 SEM of shell, radula and jaw (WAM S34759). (A) Protoconch and first teleoconch whorls viewed from above. (B) Detail of first teleoconch whorls viewed from above. (C) Close-up of sculpture on last whorl, lateral view. (D) Jaw. (E) Central and inner lateral teeth viewed from above. (F) Marginal teeth viewed from above. Scale bars: A–C, 200 µm; D, 100 µm; E–F, 10 µm.
Figure 45 in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 45. Penial anatomy of Amplirhagada epiphallica n.sp. (WAM S34746). For labelling of structures see Fig. 4. (A) Interior anatomy of the penial wall. (B) Schematic view of the penis with the penial sheath being removed. Scale bars = 5 mm.
Figure 43. Amplirhagada epiphallica n in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 43. Amplirhagada epiphallica n.sp. SEM of shell, radula and jaw (WAM S34746). (A) Protoconch and first teleoconch whorls viewed from above. (B) Detail of first teleoconch whorls viewed from above. (C) Close-up of sculpture on last whorl, lateral view. (D) Jaw. (E) Central and inner lateral teeth viewed from above. (F) Marginal teeth viewed from above. Scale bars: A–C, 1 mm; D, 100 µm; E–F, 10 µm.
Figure 39 in Descriptions of New Species of the Diverse and Endemic Land Snail Amplirhagada Iredale, 1933 from Rainforest Patches across the Kimberley, Western Australia (Pulmonata: Camaenidae)
Figure 39. Penial anatomy of Amplirhagada bendraytoni n.sp. (WAM S34741). For labelling of structures see Fig. 4. (A) Schematic view of the penis with the penial sheath being removed. Scale bar = 5 mm. (B) Interior anatomy of the penial wall. Scale bar = 5 mm. (C) Schematic cross-section of the main pilaster (not to scale).
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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.