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367 results for “pass”

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edi56/100

Phoenix Area Social Survey (PASS): 2017

The Phoenix Area Social Survey (PASS) was established in 2001 as part of the Central Arizona–Phoenix Long-Term Ecological Research (CAP LTER) project's long-term monitoring program. Every five years, the PASS team surveys households in select neighborhoods in metropolitan Phoenix in order to better understand people's perceptions, attitudes, and behaviors on environmental issues such heat stress and climate change, water scarcity and policy, landscape choices and management, and urban wildlife and biodiversity. In 2001, the first PASS was piloted in 8 neighborhoods (n= 302) in the City of Phoenix, Arizona. Aiming for about 20 respondents per neighborhood, the 2006 (n= 808) and 2011 (n= 806) samples were expanded to cover a broader range of neighborhoods (40-45) that better represent the geography of the greater metropolitan area, both in terms of location and demographics. In order to characterize and examine residents' views and practices in particular Phoenix-area neighborhoods, the 2017 survey was redesigned to target a larger number of people (~65) in fewer (12) neighborhoods across the region. The new sampling design allows for intensive neighborhood analyses that link residents' perceptions, attitudes, and decisions to the local ecology (e.g., urban infrastructure, landscape attributes, species composition). The 2017 PASS neighborhoods were distributed across CAP LTER ecological monitoring sites at green/blue infrastructure such as the Salt River, Tempe Town Lake, and Indian Bend Wash, in addition to desert preserves such as South Mountain Park and McDowell Sonoran Preserve. Ecological data also collected at these sites included climate and temperature data, nutrient fluxes, and wildlife community measurements. In each neighborhood, for example, the local bird community was measured at three point-count stations so that we can link biodiversity metrics to people's views and actions that affect them. Overall, the 2017 PASS survey explores major themes integral

openCC0Jul 2020View details →

edi56/100

Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)

This dataset includes human-biometeorological observations from 2.5 km walking traverses with a mobile weather station. The traverses occurred in two 2017 Phoenix Area Social Survey neighborhoods (U18: South Phoenix/Salt River (Audubon) and W15: Camelback Mountain) on one day in June and October, at 12pm and 4pm on each day. Specifically, air temperature, humidity, wind speed, and radiant energy (infrared and solar radiation) in 3-dimensions were measured at 2-second intervals. Additionally, mean radiant temperature was calculated from the radiation measurements. The meteorological observations are spatially referenced with latitude and longitude coordinates. The paths through the neighborhoods were chosen to maximize proximity to PASS 2017 participants’ homes.

openCC0Feb 2022View details →

zenodo48/100

Anthropomorphic Mechanisms for User Acceptance in Human-Robot Interaction - PRISMA pass data

This is the data produced in the course of selecting relevant literature for the "User Acceptance in Human-Robot Interaction" literature review article. Contents: <ul> <li>Initial pass records: prisma0_wos.xlsx + prisma0_scopus.xlsx</li> <li>Initial pass eligibility assessment: prisma0_eval.xlsx</li> <li>Second pass records, filtering and coarse assessment: prisma1.xlsx</li> <li>Third pass records, filtering and coarse assessment: prisma2.xlsx</li> <li>Fine eligibility assessment of 2nd and 3rd pass: prisma_avalanche_1_and_2_report_update_04_26.pdf</li> </ul>

opencc-by-4.0Jul 2024View details →

zenodo48/100

Soil and meteorological data, and finite element simulation framework for heat transfer through shrubs in winter near Lautaret pass, French Alps

The data allow the calculation using finite element modeling of heat transfer through shrub branches and snow between the atmosphere and the soil. The shrubs are green alders (Alnus viridis). The site where they are found is called Alnus-Nivus (45.034750°N, 6.413630°E, 2034 m asl) near Col du Lautaret, French Alps. The soil data consist in temperature and volumetric liquid water content at 5 and 15 cm depths. One spot is near the alder collar (ALNUS), the other spot is 6 m away, under grass (GRASS). The meteorological data were obtained from the FR-Clt station, 750 m away (45.041278°N, 6.410611°E, 2046 m asl). See (Gupta et al., 2023) for details. Only the data relevant for heat transfer simulations are given. The simulation framework gives the alder mesh used in the heat transfer simulations. Typical simulations use a wood thermal conductivity of 1 W m-1 K-1 and a snow thermal conductivity of 0.1 W m-1 K-1. Based on observations, the snow height at Alnus-Nivus is likely to be at least twice the value at FR-Clt.  Forcing uses the snow surface temperature, derived from upwelling longwave radiation using an emissivity of 1.  The data allow testing thermal bridging through shrub branches. These data are used in a publication in preparation: Domine, Fourteau, Choler, Exploration of Thermal Bridging Through Shrub Branches in Alpine Snow. Reference Gupta, A., Reverdy, A., Cohard, J. M., Hector, B., Descloitres, M., Vandervaere, J. P., Coulaud, C., Biron, R., Liger, L., Maxwell, R., Valay, J. G., and Voisin, D.: Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment, Hydrol. Earth Syst. Sci., 27, 191-212, 2023.

opencc-by-4.0Jun 2023View details →

edi48/100

Phoenix Area Social Survey (PASS): 2006

The first Phoenix Area Social Survey (PASS) was conducted as a pilot study in 2001. Our main objective was to examine the reciprocal relationships, or the interplay, between the social and natural environments in an urban ecosystem. In order to begin to understand this complex process, social scientists affiliated with the Central Arizona-Phoenix LTER conducted a pilot survey of 302 residents in 8 neighborhoods in the city of Phoenix. Our central research questions asked how neighborhood social ties, values, and behaviors are connected with one another in ways that reflect willingness to act socially and politically with respect to the environment, and how changing environmental conditions, in turn, affect the quality of human life. The survey measured the social ties of individuals to their communities, values and sentiments regarding communities, behaviors that affect the natural environment, and satisfaction with the quality of life in the area. The second wave of PASS was conducted in 2006 with an expanded sample size in 40 neighborhoods across the metropolitan region. Many of the questions about community were repeated from the pilot study and the new survey added items for perceptions, values, and behavior concerning water supply and conservation; land use, preservation and growth management; air quality and transportation; and climate change and the urban heat island. This data package previously contained data relating to a 2001 iteration of the Phoenix Area Social Survey. Those data are now available at the following location: "Harlan, Sharon; Kirby, Andrew; Nelson, Amy; Hope, Diane; Pijawka, K. David; Bolin, Robert; Rex, Tom R; Larsen, Larissa; Wolf, Shaphard; Hackett, Edward (2016-07-05): Phoenix Area Social Survey (PASS): 2001. Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/6849e6e3ecc196de0f3c8491eb375cc3." Datasets in the Phoenix Area Social Survey (PASS) series of long-term studies are discoverable in the LTER data system with

openOpenJun 2017View details →

edi48/100

Numerical summaries of vegetation indices and land surface temperature derived from remotely sensed imagery in Phoenix Area Social Survey (PASS) neighborhoods of central Arizona

This project calculates two vegetation indices: Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI), and land surface temperature (LST) from remotely sensed imagery. NDVI and SAVI are calculated from the 2010, 2013, 2015, and 2017 NAIP imagery (1m resolution). LST is calculated from Landsat 5 and 8 imagery (30m resolution) from summer months in 1985, 1990, 1995, 2000, 2005, 2010, and 2015. Summary values are calculated for each of the aforementioned data resources for 2011 and 2017 Phoenix Area Social Survey (PASS) study area boundaries. Tabular summaries of the mean, median, minimum, maximum, and standard deviation of the NDVI, SAVI, and LST values for the 2011 and 2017 Phoenix Area Social Survey boundaries (45 and 12 neighborhoods, respectively) are provided. Javascript code used to process NDVI, SAVI, and LST imagery, and R code used to calculate numerical summaries of NDVI, SAVI, and LST in PASS neighborhoods are included with this dataset. Locations and areas of PASS study neighborhood boundaries and source imagery used to calculate these summaries are available through the Environmental Data Initiative - see resouce listing in the methods of this data set.

openCustomNov 2019View details →

zenodo44/100

Imputation panel for low-pass whole genome sequencing (GLIMPSE2 format)

This dataset includes autosomal genotypes from the 1000 Genomes +HGDP project (<a href="https://doi.org/10.1101/2023.01.23.525248" target="_blank" rel="noopener">10.1101/2023.01.23.525248 </a>)  as well as X chromosome genotypes from the NY Genome Center (as of yet, a comparable dataset that includes HGDP is not available for the X; see 10.1016/j.cell.2022.08.004). The genotypes were down-sampled so as to be appropriate for low-pass imputation; uncertain phase calls were removed (any PP tags), and individuals deemed to be outliers or relatives (based on autosomal data, as per the first citation) were also removed. Similarly, singleton polymorphisms were also excluded. Hemizygous genotypes on the X were converted into (quasi) diploid genotypes. These data were then converted into a binary imputation panel format using glimpse v2 (https://odelaneau.github.io/GLIMPSE/; using the static binaries provided). The "chunk" size was doubled from the defaults (which considers a minimum number of snps, genetic length and physical length) so as to be more performant.

opencc-by-4.0Nov 2024View details →

zenodo44/100

study of second harmonic generation in periodically poled fiber in double pass configuration

This dataset includes the experimental measurements and the numerical simulations of the power of second harmonic generated inside a periodically poled fiber traversed in single and double pass by a fundamental signal whose wavelength is included in a certain range of values. This measurements are the preliminary study for situation where the PPSF can be exploited in multiple pass configuration, such as in a cavity.

opencc-by-4.0Sep 2022View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_23

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_23 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 291 Median height: 40 meters Survey area: 34485.25 hectares Survey from: 2022:10:24 08:50:06 to: 2022:10:24 09:11:28 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_13

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_13 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 274 Median height: 70 meters Survey area: 13.87 hectares Survey from: 2022:10:22 09:22:29 to: 2022:10:22 09:33:17 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe arm01, Seychelles - 20221024 - 02_28

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe arm01, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-arm01_UAV-02_28 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 241 Median height: 70 meters Survey area: 84339.72 hectares Survey from: 2022:10:24 13:18:01 to: 2022:10:24 13:34:24 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_24

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_24 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 333 Median height: 40 meters Survey area: 13.82 hectares Survey from: 2022:10:24 09:20:28 to: 2022:10:24 09:36:13 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_25

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_25 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 315 Median height: 40 meters Survey area: 15.38 hectares Survey from: 2022:10:24 09:41:15 to: 2022:10:24 09:56:12 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_11

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_11 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 293 Median height: 70 meters Survey area: 16.93 hectares Survey from: 2022:10:22 08:41:17 to: 2022:10:22 08:52:52 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_14

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_14 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 275 Median height: 70 meters Survey area: 17.62 hectares Survey from: 2022:10:22 09:39:50 to: 2022:10:22 09:53:52 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois 40m, Seychelles - 20221024 - 02_26

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois 40m, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-40m_UAV-02_26 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -90.00 - Survey informations: No Images: 407 Median height: 70 meters Survey area: 9.97 hectares Survey from: 2022:10:24 10:06:15 to: 2022:10:24 10:23:20 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois, Seychelles - 20221022 - 02_12

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois, Seychelles, on 20221022 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221022_SYC-aldabra-passe-dubois_UAV-02_12 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 303 Median height: 70 meters Survey area: 16.11 hectares Survey from: 2022:10:22 09:02:54 to: 2022:10:22 09:14:43 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

Orthophoto & DEM from drone images, UAV, Aldabra passe dubois msp, Seychelles - 20221024 - 02_27

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe dubois msp, Seychelles, on 20221024 The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] The depot consists of the following elements: - 00_: Image preview panel - DCIM.zip: RAW images from UAV - GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. - METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), - PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... Original tree structure: │ └─ 20221024_SYC-aldabra-passe-dubois-MSP_UAV-02_27 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │-------- └─ PROCESSED_DATA Flight survey information: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -75.00 - Survey informations: No Images: 245 Median height: 70 meters Survey area: 14.72 hectares Survey from: 2022:10:24 10:40:53 to: 2022:10:24 10:52:48 "

opencc-by-4.0Jun 2024View details →

zenodo44/100

From the hot carrier solar cell to the intermediate band solar cell, passing through the multiple-exciton generation solar cell and then back to the hot carrier solar cell: the Dance of the Electro-chemical Potentials

Presentation titled "From the hot carrier solar cell to the intermediate band solar cell, passing through the multiple-exciton generation solar cell and then back to the hot carrier solar cell:  the Dance of the Electro-chemical Potentials" given by Antonio Marti at the 36th European PV Solar Energy Conference and Exhibition in Marseille, in September 2019.

opencc-by-4.0Oct 2019View details →

edi44/100

Phoenix Area Social Survey (PASS): 2011

The Phoenix Area Social Survey (PASS) parallels the Ecological Survey of Central Arizona (formerly, Survey 200) as a long-term monitoring program of the CAP LTER. Every five years, the PASS research team surveys households in selected neighborhoods in the metropolitan Phoenix area to better understand perceptions, values, and behaviors on several key environmental issues, including water conservation, urban growth, air pollution, land conservation, biodiversity and urban climate change, as well as perceptions about their neighborhoods. The survey was piloted in 2001-2002 in eight neighborhoods in Phoenix with 302 respondents and grew to 40 neighborhoods and 800 households in 2005. The PASS research team added five new neighborhoods to the survey design in 2011 to incorporate areas co-located with other CAP research endeavors and to expand the sample of low-income neighborhoods and included additional questions relevant to the housing crisis and recession and access to healthy food in the city.

openOpenOct 2018View details →

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record