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3,018 results for “aire”
Air quality data from the article "Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine-learning-based prediction and assessment"
<p>This dataset consists of 26 files. The descriptions of the files are as follows:</p> <ul> <li>aqi_TY.csv, pm25_TY.csv, pm10_TY.csv, so2_TY.csv, no2_TY.csv and o3_TY.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> of 36 monitoring stations used in model establish stage on TY days. The time range is June 2014 to December 2020.</li> <li>aqi_NTY.csv, pm25_NTY.csv, pm10_NTY.csv, so2_NTY.csv, no2_NTY.csv and o3_NTY.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> of 36 monitoring stations used in model establish stage on NTY days. The time range is June 2014 to December 2020.</li> <li>station_info.csv is the detailed information of the 36 monitoring stations used in model establish stage, including station number, city, longitude and latitude.</li> <li>aqi_TY_testing.csv, pm25_TY_testing.csv, pm10_TY_testing.csv, so2_TY_testing.csv, no2_TY_testing.csv and o3_TY_testing.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> of 3 monitoring stations used for testing the model on TY days. The time range is June 2014 to December 2020.</li> <li>aqi_NTY_testing.csv, pm25_NTY_testing.csv, pm10_NTY_testing.csv, so2_NTY_testing.csv, no2_NTY_testing.csv and o3_NTY_testing.csv are the observed values of AQI and concentrations of PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, NO<sub>2</sub> and O<sub>3</sub> of 3 monitoring stations used for testing the model on NTY days. The time range is June 2014 to December 2020.</li> <li>sta_testing.csv is the detailed information of the 3 monitoring stations used for testing the model, including station number, city, longitude and latitude.</li> </ul>
RGB-LWIR Labeled Dataset for Air-based platforms
<p>Most object detection models deployed on unmanned aerial systems (UAS) focus on identifying objects in the visible spectrum, also known as Red-Green-Blue (RGB) imagery, due to availability and cost. Fusing long wave infrared (LWIR) images with RGB imagery can increase the resiliency and overall performance of a machine learning (ML) object detection model in changing environments. Because LWIR based ML models are not commonly utilized or studied there exists a gap in the literature that discusses performance metrics between LWIR, RGB and LWIR-RGB fused ML object detection models from various ground and air collection platforms. Understanding multispectral ML object detection performance from UAS is highly meaningful because of the increasing convergence of ML and UAS technologies. Therefore, the need to establish baseline performance metrics for how certain ML models perform on various ground and air platforms is necessary for effective implementation and deployment of these two technologies. Using object detection results from both ground and air platforms, this research provided a baseline RGB ML model mean average precision (mAP) of 95.1%, a LWIR ML model mAP of 94.5%, and a blended RGB-LWIR ML model mAP of 92.6%. This research contributes to the literature a labelled training dataset of 12,600 images for ground-based and air-based RGB, LWIR, and RGB-LWIR fused imagery, to encourage further multispectral machine-driven object detection research from both air and ground platforms. </p>
Moisture Flux/Evaporation from the Southern Ocean using AIRS version 6 data
<p>Moisture flux from the southern ocean using AIRS data, daily for 2003-2016. this is using AIRS version 6 data (AIRS/AMSU combination). </p> <p> </p> <p>Boisvert, L., Vihma, T., & Shie, C. L. (2020). Evaporation from the Southern Ocean estimated on the basis of AIRS satellite data. <em>Journal of Geophysical Research: Atmospheres</em>, <em>125</em>(1), e2019JD030845.</p> <p>https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JD030845</p>
Military Air Defense System Requirements
<p>This repository contains the military air defense system requirements described in "Automatic requirements extraction, analysis, and graph representation using an approach derived from computational linguistics" by Faisal Mokammel, Eric Coatanéa, Joonas Coatanéa, Vladislav Nenchev, Eric Blanco, and Matti Pietola.</p>
Google Street View vehicle-based mobile air quality observations in Salt Lake City (May 2019-March 2020)
<p>Google Street View (GSV) mobile air quality data collected in Salt Lake City as part of an Environmental Defense Fund-supported project that took place between May 2019 and March 2020. <br> The data collection, resolved at 1-second frequency, was carried out with two GSV vehicles.</p> <p>The data is in a single CSV (comma-separated value) text file. </p>
Eindhoven - Carbon sequestration and air pollutants capture
<p>Results of the i-Tree simulations of carbon sequestration, total amount of carbon stored in vegetation and air pollutants capture in three NBS locations in Eindhoven.</p>
Data used to create figures and tables in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"
<p>This dataset contains all simulation output and observational data of ground-based/satellite-retrieved meteorological and air quality for computing statistical metrics in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows:</p> <p>1. Simulation and observational results of meteorological and air quality including four folders:</p> <p> Day_PBLH: Daily PBLH data</p> <p> Hour_air: Hourly air quality data regarding PM2.5, O3, SO2, NO2 and CO</p> <p> Hour_met: Hourly meteorological data regarding T2, Q2, RH2, WS10 and precipitation</p> <p> Hour_radiation: Hourly surface radiation data</p> <p>2. Simulation and satellite-retrieved results of meteorological and air quality including nine folders:</p> <p> AOD: Yearly and seasonal AOD data</p> <p> CF: Yearly and seasonal CF data</p> <p> CO: Yearly and seasonal CO data</p> <p> LWP: Yearly and seasonal LWP data</p> <p> NO2: Yearly and seasonal NO2 data</p> <p> O3: Yearly and seasonal O3 data</p> <p> Precipitation: Yearly and seasonal precipitation data</p> <p> Radiation: Yearly and seasonal radiation data</p> <p> SO2: Yearly and seasonal SO2 data</p>
A long-term (1981-2020) 1-km daily extreme and mean near surface air temperature product over Yellow River Basin of China
<p>The dataset includes the semless 1-km daily extreme and mean near surface air temperature products over Yellow River Basin of China. The fourth version is from 1 January 2011 to 31 Decmber 2020.</p>
qechairquality: Air Quality Data at Queen Elizabeth Central Hospital (QECH), Blantyre, Malawi.
<p>Air quality data with measurements in 5-minute intervals for particulate matter (PM 2.5 & PM 10) at eight sensor locations over two months at Queen Elizabeth Central Hospital (QECH) in Blantyre, Malawi.</p>
Data used to simulations in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China"
<p>This dataset contains input data of simulations by WRF-CMAQ, WRF-Chem and WRF-CHIMERE in the GMD manuscript "Inter-comparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1) in eastern China", as follows:</p> <p>1. WRF-CMAQ input data including emission, ICs and lateral BCs of meteorology and air quality:</p> <p>YYYYMM.zip represents the input data for each month for simulations. Due to the large size of the compressed file containing input data each month, there may be interruptions when uploading it to Zenodo. Therefore, we will split each compressed file into 50MB. If users want to browse the file, they can download the segmented files, and then merge them into the YYYYMM.zip file using the Linux command line "unzip 'YYYYMM.zip.*' -d combined"</p>
Video instructions for study "Mid-air gestural interaction with large fogscreen"
<p>This is a video instruction that participants viewed when receiving the gesture explanation and is mentioned in the manuscript.</p>
Equilibrium climate sensitivity experiments using EC-Earth3-LR model — Surface Air Temperature data
<p>Three experiments was conducted using a EC-Earth model with the EC-Earth3-LR configuration (REF), which couples atmosphere, land, ocean and sea-ice components. First, we performed a pre-industrial (PI) control simulation (E280) using pre-industrial forcing, holding atmospheric constituents constant at 1850 levels (e.g., CO<sub>2</sub> concentration at 280 ppm). This simulation was initialized by a pre-run steady restart file (from a 500-year pre-industrial control simulation) and ran for 2000 years. We also conducted two sensitivity experiments (E400 and E560) by adjusting the CO<sub>2</sub> concentration to 400 ppm and 560 ppm, respectively, at the start year of the E280 experiment, and continued for over 3000 years (3069 years for E400, and 3013 years for E560). For our statistical analysis, we only considered the integration periods after the spin-up, using the last 2000-year outputs from the three simulations.</p> <p>The dataset contains Earth system model results from EC-Earth3 presented in the study by Cao et al. (2023).</p> <p>Cao, N., Zhang, Q., Wang, Z., Power, K.E., & Liu, C. (2023). The non-negligible impact of internal multi-centennial climate variability on estimating equilibrium climate change. Submitted to <em>Geophysical Research Letters</em>.</p> <p> </p> <p><strong>Model configuration</strong><br> Time periods: 2000-year time slice for all three experiments<br> ESM configuration: EC-Earth3-LR<br> Horizontal resolution: ~1.125° (~125 km)</p> <p><strong>Available data</strong><br> Annual mean data for Surface Air Temperature data.</p>
Data for "biochar-composting substantially reduces methane and air pollutant emissions from dairy manure"
<p>Dataset showing:</p> <p>1) Weekly compost NH4 concentrations</p> <p>2) Weekly compost NO3 concentrations</p> <p>3) Weekly compost C, N, O, H</p> <p>4) Weekly compost pH and EC</p> <p>5) Daily compost temperature</p> <p>6) Weekly compost moisture</p> <p>7) Weekly compost porosity</p> <p>8) Final compost CEC</p> <p>9) Final compost germination indexes</p> <p>10) AP3 integrated assessment model results</p> <p>11) Daily compost gas fluxes</p>
WOMBAT v2.0 estimates of global GPP, respiration, and air-sea fluxes
These files contain estimates of global CO2 fluxes, split into GPP, respiration, and air-sea components produced by the WOMBAT v2.0 flux-inversion system (see https://arxiv.org/abs/2210.10479). These fluxes are further decomposed into trend and seasonality. The file WOMBAT_v2_CO2_gridded_climatology_samples.nc4 contains the estimated spatial fields for each beta in the paper that define the trend/seasonality of the fluxes. The bottom-up estimates are provided for each beta, as well as samples from the posterior distribution. A second file, WOMBAT_v2_CO2_gridded_flux_samples.nc4, contains bottom-up estimates and posterior samples for the flux component fields. These are split into components and the parts of the decomposition, so for example the linear component of GPP is in gpp_linear_bottom_up/gpp_linear_posterior for the bottom-up/posterior. The different fields can be summed to get meaningful quantities, such as the NEE (sum of all GPP and respiration parts), or the net flux (sum of all parts). The final file, samples-LNLGIS.rds, contains samples from the posterior distribution of the model parameters. This file format may be read using the readRDS function in the R programming language.
Data and code for the manuscript "An estimate of excess mortality resulting from air pollution caused by wildfires in the eastern and central Mediterranean basin in 2021"
<p>Data and R code used for generating the manuscript "An estimate of excess mortality resulting from air pollution caused by wildfires in the eastern and central Mediterranean basin in 2021".</p>
3. Identificación de escuelas nacionales instaladas en la provincia de Buenos Aires, 1908-1948
<p>Esta colección surge con la intención de cumplir con el objetivo general de la investigación “Las escuelas primarias de gestión nacional creadas por la Ley N°4874 de 1905 en La Matanza: proceso de instalación y desarrollo institucional hasta su cierre y/o transferencia al ámbito provincial bonaerense”, codirigida por las autoras, radicada en el Departamento de Humanidades y Ciencias Sociales de la Universidad Nacional de La Matanza dentro del Programa de acreditación CyTMA2 y presentada como Proyecto Institucional de Dependencia Compartida entre la Secretaría de Extensión Universitaria y la Escuela de Formación Continua.</p> <p>El relevamiento de datos que se presenta en este número atiende a las posibilidades de poner en relación los datos del partido de La Matanza con la estadística provincial (provincia de Buenos Aires) y nacional; y con este fin fueron utilizados, destacándose los resultados presentados en el artículo de investigación: “<em>La transferencia de las escuelas primarias nacionales situadas en La Matanza a la órbita provincial (1968-1970): Un análisis multiescalar desde dimensiones historiográficas, contextuales sociohistóricas y discursivas”</em>. (Artola y Bertune Fatgala, 2023). </p>
4. Identificación de escuelas de gestión provincial en Buenos aires y en Argentina, 1908-1942
<p>Esta colección surge con la intención de cumplir con el objetivo general de la investigación “Las escuelas primarias de gestión nacional creadas por la Ley N°4874 de 1905 en La Matanza: proceso de instalación y desarrollo institucional hasta su cierre y/o transferencia al ámbito provincial bonaerense”, codirigida por las autoras, radicada en el Departamento de Humanidades y Ciencias Sociales de la Universidad Nacional de La Matanza dentro del Programa de acreditación CyTMA2 y presentada como Proyecto Institucional de Dependencia Compartida entre la Secretaría de Extensión Universitaria y la Escuela de Formación Continua.</p> <p>El relevamiento de datos que se presenta en este número atiende a las posibilidades de poner en relación los datos del partido de La Matanza con la estadística provincial (provincia de Buenos Aires) y nacional; y con este fin fueron utilizados, destacándose los resultados presentados en el artículo de investigación: “<em>La transferencia de las escuelas primarias nacionales situadas en La Matanza a la órbita provincial (1968-1970): Un análisis multiescalar desde dimensiones historiográficas, contextuales sociohistóricas y discursivas”</em>. (Artola y Bertune Fatgala, 2023).</p> <p>Se han reconocido como dimensiones de recolección: el total de escuelas primarias creadas en el territorio de la provincia de Buenos Aires bajo su gestión, el total de escuelas primarias de gestión provincial en Argentina, y el porcentaje que representan las escuelas primarias de la provincia de Buenos Aires sobre la cantidad total de las escuelas primarias dependientes de las provincias en Argentina. El marco temporal del relevamiento seleccionado corresponde a la primera mitad del siglo XX (1908-1942), desagregándose anualmente. </p>
5. Escuelas primarias de gestión nacional y provincial en comparación, provincia de Buenos Aires,1908-1942
<p>Esta colección surge con la intención de cumplir con el objetivo general de la investigación “Las escuelas primarias de gestión nacional creadas por la Ley N°4874 de 1905 en La Matanza: proceso de instalación y desarrollo institucional hasta su cierre y/o transferencia al ámbito provincial bonaerense”, codirigida por las autoras, radicada en el Departamento de Humanidades y Ciencias Sociales de la Universidad Nacional de La Matanza dentro del Programa de acreditación CyTMA2 y presentada como Proyecto Institucional de Dependencia Compartida entre la Secretaría de Extensión Universitaria y la Escuela de Formación Continua.</p> <p>Se han reconocido como dimensiones de recolección: el total de escuelas primarias creadas en el territorio de la provincia de Buenos Aires bajo su gestión y bajo órbita nacional y el porcentaje que representan, y la cantidad total de escuelas primaria en la provincia, el porcentaje. El marco temporal del relevamiento seleccionado corresponde a la primera mitad del siglo XX (1908-1942), desagregándose anualmente. </p>
RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes)
<p>Transcription of key military and biographical data from eleven bound Volumes of Royal New Zealand Air Force Biographies of Deceased Personnel from 1939 to 1945. Auckland War Memorial Museum Tāmaki Paenga Hira and Te Rua Mahara o te Kāwanatanga Archives New Zealand have worked in collaboration to transcribe these biographies for loading into individual <a href="https://www.aucklandmuseum.com/war-memorial/online-cenotaph/custom-search?k=RNZAF+%5bRoyal+New+Zealand+Air+Force%5d+Biographies+of&srt=lna&pp=100">Online Cenotaph</a> records.</p> <ul> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ab - B. Archives New Zealand (R17845607). <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845607">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845607</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Bo - Cl. Archives New Zealand (R17845608) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845608">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845608</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Co - Dy. Archives New Zealand (R17845609) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845609">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845609</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ea - Gw. ARchives New Zealand (R17845610) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845610">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845610</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ha - Hy. Archives New Zealand (R17845611) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845611">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845611</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ib - Ly. Archives New Zealand (R17845612) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845612">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845612</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ma - McW. Archives New Zealand (R17845613) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845613">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845613</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Na - Py. Archives New Zealand (R17845614) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845614">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845614</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Qu - Sl. Archives New Zealand (R17845615) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845615">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845615</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Sm- Ty. Archives New Zealand (R17845616) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845616">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845616</a></li> <li>RNZAF [Royal New Zealand Air Force] Biographies of Deceased Personnel 1939 - 1945 (Bound Volumes) - Ue - Z. Archives New Zealand (R17845617) <a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845617">https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/R17845617</a></li> </ul> <p>These volumes are part of the Air Historical Branch series. </p> <p><a href="https://collections.archives.govt.nz/web/arena/search#/entity/aims-archive/17263/air-historical-branch?q=R17845607&source=aims-archive">Air Historical Branch</a></p> <p>Code: 17263</p> <p>Holdings years: 1921 - 1968</p> <p>Summary: This series consists of various types of file created by the Air Historical Branch. It includes unregistered files, narratives of Royal New Zealand Air Force history, especially from the Second World War, biographies, photographs, personnel lists, wartime documents, published material, and translations of German Air Force documents.</p> <p>Location: Wellington repository</p> <p><strong>Please note that the transcription was completed by Auckland Museum staff and volunteers and will likely have some errors but we have done our best to provide an accurate representation of the documents.</strong></p>
Incorporating real-time traffic data into air quality mapping uncovers more severe exposure disparities at the community level
<p>Data and codes for the XGBoost model training in our manuscript titled "Incorporating real-time traffic data into air quality mapping uncovers more severe exposure disparities at the community level"</p>
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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.