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3,709 results for “urbanization.”
Data from MECO(n) model simulations on "Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018"
<p>This tar-files contain the results of the MECO(n) model, which are published in</p> <p>T. Klausner, M. Mertens, H. Huntrieser, M. Galkowski, G. Kuhlmann, R. Baumann, A. Fiehn, P. Jöckel, M. Pühl, and A. Roiger: Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO<sub>2</sub> and CH<sub>4</sub> in situ observations in summer 2018, Elementa: Science of the Anthropocene (Ref.: Ms. No. ELEMENTA-D-19-00074R1), 2019.</p>
Urbane Feldforschung: Urban Fieldwork: Quba-Lezgi
<p>The recordings enclosed were conducted by William-Philip Hesse with Lezgian native speaker and informant Elvin Ahmadov from Azerbaijan in partial fulfillment of the requirements of the course "Urbane Feldforschung" at the University of Cologne, which was under the instruction of Dr. Frank Seifart, at the Institute of Linguistics during the Winter term 2019/2020.</p> <p>This repository contains:</p> <ol> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_40_words_of_Swadesh_list_in_Kuba_Lezgic</strong><strong>:</strong><strong> </strong>40 ASJP words, as a shortened excerpt of the Swadesh-list providing an exemplary basic vocabulary of the language <ul> <li>.eaf</li> <li>_final_cut.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_children_poem_in_Kuba_Lezgic</strong><strong>:</strong> short, traditional children poem about the relation between apricots and friendship with morphological segmentation and glossing <ul> <li>.eaf</li> <li>.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_20.11.2019_song_in_Kuba_Lezgic</strong><strong>:</strong> traditional folk song with transliteration and translation <ul> <li>.eaf</li> <li>.wav</li> <li>Metadaten - .pdf (metadata and background information)</li> </ul> </li> <li><strong>Documentation: </strong>elaboration and metadata<strong> </strong>about this elicitation project as well as the informant <ul> <li><strong>William-Philip_Hesse_Feldforschung_Uni_Köln_2019_Ethno-Soziolinguistische_Beschreibung_von_Quba_Lesgisch_und_dessen_Sprechern.pdf</strong>: An introductory PDF document with identification of the language and sociolinguistic information. </li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_Feldforschung_Uni_Köln_2019_separate_Beschreibung_der_Ergebnisse_der_Ellizitationssession.pdf</strong>: separate description and evaluation of theellicitation sessions’s results, together with the informant</li> <li><strong>Personenmetadaten - Elvin Ahmadov - W.P.Hesse_und_E.Ahmadov_Quba_Lezgi.txt</strong>: Information about the informant (filled out by him)</li> <li><strong>Projektmetadaten - W.P.Hesse_und_E.Ahmadov_Quba_Lezgi.txt</strong>: Information abot the project and its’ purpose</li> <li><strong>William-Philip_Hesse_mit_Elvin_Ahmadov_Projektinformationsblatt und Einverständniserklärung signiert.jpg</strong>: Informant's signed declaration of consent and the project information providedto him prior to the conduction </li> </ul> </li> </ol> <p> </p>
Urban Fieldwork in Cologne 2019
<p>Dieses Teilprojekt des Projekts „Urbane Feldforschung in Köln 2019“ befasst sich mit der koreanischen Sprache in Köln, beziehungsweise mit einem koreanischen Sprecher in Köln. Die Audiodateien enthalten eine annotierte Wortliste, sowie eine Elizitation zu den Sprechstufen des Koreanischen.</p>
Datasets and codes for "Urbanization and agricultural intensification destabilize animal communities differently than diversity loss"
<p>Datasets and R codes of the manuscript entitled "Urbanization and agricultural intensification destabilize animal communities differently than diversity loss" by Théophile Olivier, Elisa Thébault, Marianne Elias, Benoit Fontaine and Colin Fontaine.</p>
Increase of High Molecular Weight Organosulfate with Intensifying Urban Air Pollution in the Megacity Beijing
<p>Organosulfates (OSs), a key component of secondary organic aerosols (SOA), account for up to one third of organic matter in the atmosphere. However, high-molecular-weight (HMW, 500–800 Da) OSs in ambient aerosolsare poorly characterized at a molecular level, due to experimental difficulties. With Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICRMS),we are able to identify more than eight thousand OSsin wintertime aerosols in Beijing. We found that both the number and signal magnitudesof HMW OSs with low H/C and O/C ratios and degrees of unsaturation were greatly enhanced during hazy days, indicating that most HMW OSs were freshly formed during stagnant air-pollution episodes. They are most likely to be the oxidation products of semi- to low-volatility precursors (e.g., polycyclic aromatic hydrocarbons and fatty acids) and have showed a strong influence of anthropogenic emissions.The molecular corridor analysissuggests that the high abundance of HMWaromatic-like and aliphatic OSsconsiderably decreases the volatility of organic aerosols in the urban atmosphere.</p>
Wealth, water and wildlife: landscape aridity intensifies the urban Luxury Effect - data used in meta-analysis
<p>The available Excel file contains all data used in the meta-analysis to analyse the Luxury Effect (i.e. the relationship between urban biodiversity and socioeconomic status) and its moderators (wealth status, species provenance and precipitation). Each column in the data set (tab ‘Data’) is defined as follows:</p> <p><strong>Location</strong>: Location (e.g. city) where a given study took place. If more than one geographical location was considered, they are detailed in the column 'Sample'</p> <p><strong>Sample: </strong>Any separate samples based either on location or temporal sampling period (e.g. geographical location, habitat types, different years) considered in a given paper. If the column is blank, only one location or period was considered.</p> <p><strong>Biodiversity measure: </strong>Defined into either diversity or abundance measures as defined in the text.</p> <p><strong>Response variable: </strong>The precise response variable analysed in the paper.</p> <p><strong>Socioeconomic variable: </strong>The socioeconomic variable analysed in the paper.</p> <p><strong>Provenance: </strong>Native or exotic species, where specified. 'All' refers both to papers where it was explicitly stated that both native and exotic species were considered, and those where no information was given, but we assumed that native and exotic species had been considered.</p> <p><strong>Development status: </strong>Countries with developed economies ('Rich') and countries with developing economies 'Poor') as defined in the text.</p> <p><strong>Gradient length: </strong>Studies including only urbanized areas ('Short') and those also including rural sampling locations ('Long').</p> <p><strong>Precipitation: </strong>in mm.</p> <p><strong>Pearson's r: </strong>Standardized values used in the meta-analysis.</p> <p> </p> <p>Note the above information is also available in the Excel file in the ‘Notes’ tab. </p> <p> </p>
Supplementary material 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Landsat Products Used
Figure 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 3 Mental health prescriptions vs winter-greenness at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Supplementary material 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
ESRI Shape file of SIMD DataZones
Figure 2 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 2 Sampling of a single data point, postcode EH8 9AJ (orange dot) within Data Zone S01008671 (black outline). The 100, 250 and 500 metre buffer zones are shown in orange. Blue dots are other sampling points. Green shading represents greenness (NDVI).
Figure 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 4 Mental health prescriptions vs seasonal difference at 250 m from home for pure-urban Data Zones beanplot (Kampstra 2008). Horizontal lines are individual values. Curves are density of data points at values. Thicker horizontal line is average for group.
Figure 1 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Figure 1 An area of south central Edinburgh illustrating distribution of sample points within Data Zones. Background is OpenStreetMap. Black outlines are DataZone boundaries. Blue dots are small user postcode locations that are used for sampling. Green shading represents summer-greenness (NDVI).
Supplementary material 4 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Results Data Tables
Supplementary material 3 from: Hyam R (2020) Greenness, mortality and mental health prescription rates in urban Scotland - a population level, observational study. Research Ideas and Outcomes 6: e53542. https://doi.org/10.3897/rio.6.e53542
Small User Postcodes
FIGURE 2 in Description of larva and pupa of Phylloicus cressae Prather 2003 (Trichoptera Calamoceratidae) from a montane forest stream in the peri-urban area of Caracas Venezuela
FIGURE 2: Phylloicus cressae, larva, mandibles. 2A, lateral view; 2B, ventral view.
FIGURE 6 in Description of larva and pupa of Phylloicus cressae Prather 2003 (Trichoptera Calamoceratidae) from a montane forest stream in the peri-urban area of Caracas Venezuela
FIGURE 6: Phylloicus cressae, pupa. 6A, mandibles, ventral; 6B, pupa body, dorsal.
Figs. 39–41 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 39–41. Psectrosciara gonzalezae sp.nov. 39. Male terminalia, ventral view, holotype. 40. Male terminalia, dorsal view, holotype. 41. Female terminalia, ventral view, paratype.
Figs. 21–23. Abdomen. 21. Swammerdamella marginata Cook, male. 22. Swammerdamella marginata Cook, female. 23 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 21–23. Abdomen. 21. Swammerdamella marginata Cook, male. 22. Swammerdamella marginata Cook, female. 23. Quateiella quatei (Cook), male. 24. Quateiella quatei (Cook), female.
Figs. 1–6. Habitus. 1 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 1–6. Habitus. 1. Ectaetia betzi sp.nov., male holotype. 2. Psectrosciara gonzalezae sp.nov., female paratype. 3. Scatopse notata (Linnaeus), female. 4. Aztecatopse huertai sp.nov., female paratype. 5. Swammerdamella marginata Cook, male. 6. Swammerdamella marginata Cook, female.
Figs. 25–27. Abdomen. 25 in Urban Scatopsidae (Diptera) of Los Angeles, California, United States
Figs. 25–27. Abdomen. 25. Akorhexosa grossa (Cook), male. 26. Akorhexosa grossa (Cook), female. 27. Cooka melanderi (Cook), male.
ScienceDex guides
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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.