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390 results for “LiDAR data”
SUCCESS Utah Polarization Diversity LIDAR data set
The SUCCESS_UTAH_PDL data set contains ground-based measurements made by the University of Utah Polarization Diversity LIDAR at the CART site during the April-May 1996 SUCCESS Mission.SUbsonic aircraft: Contrail & Clouds Effects Special Study (SUCCESS) is a NASA field program using scientifically instrumented aircraft and ground based measurements to investigate the effects of subsonic aircraft on contrails, cirrus clouds and atmospheric chemistry. The experiment is cosponsored by NASA's Subsonic Assessment Program and the Radiation Sciences Program which are part of the overall Aeronautics and Mission to Planet Earth Programs, respectively. SUCCESS has well over a hundred direct participants from several NASA Centers, other agencies, universities and private research companies.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (CIRRUS 2) NASA ER-2 Cloud Lidar System Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. Operations Plan (1992). The Cloud Lidar System (CLS) instrument was flown aboard the NASA ER-2 airplane. This instrument was used to determine cloud altitudes. Information pertaining to the number of cloud layers detected; the heights of the boundaries for up to 5 cloud layers; geo-physical location information; and time were recorded. Four channels of data were recorded. The first channel recorded wavelengths at 532 nanometers in the parallel plane. The second channel recorded wavelengths of 532 nanometers in the perpendicular plane. The third channel recorded wavelengths of 1064 nanometers total. The forth channel was a linear amplifier which received the digitized signal from one of the three previously mentioned CLS detectors. The data are organized so that there is a single header record for the file. This header record is followed by a series of pairs of records.The first record of each pair contains the CLS calibrated data and the second record of the pair contains the CLS analyzed data.
CALIPSO Lidar Level 0 PIVB data
CAL_LID_L0_PIVB-Standard-V1-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 0 PayloadInstrument Verification and Block (PIVB), Version 1-00 data product. These data were collected intermittently between August 2016 and June 2023 using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). The CALIPSO payload flight software, when commanded, creates Lidar Level 0 PIVB data packets for each of the three channels: 532 nm parallel, 532 nm perpendicular, and 1064 nm. These packets contain the altitude-dependent profiles (15 m resolution) of the raw backscatter signals acquired in the high and low gain channels over 15 consecutive laser pulses prior to being processed by CALIOP’s on-board profile averaging algorithm. Also included in the product are time and position information for each laser pulse, associated instrument engineering data, and an array containing the on-board measurement altitudes. No post-processing is done for the PIVB data, so the backscatter profiles have not been altitude-registered, geolocated, range-corrected, or calibrated. The PIVB data is not part of routine science data capture and is acquired only episodically throughout the latter portion of the CALIPSO mission. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth’s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the “C-Train”. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the ImagingInfrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-20
CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.Description of the Four Sky Conditions (Day, Night)1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence2) Cloud-Free: Only cloud-free level 2 columns are averaged3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averagedCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D’Etudes Spatiales).
CALIPSO Lidar Level 1B profile data, V4-51
CAL_LID_L1-Standard-V4-51 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 1B profile data, Version 4-51 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIOP Level 1B data product contains a half orbit (day or night) of calibrated and geolocated single-shot (highest resolution) lidar profiles, including 532 nm and 1064 nm attenuated backscatter and depolarization ratio at 532 nm. The product released contains data from nominal science mode measurements.
LiDAR Data, DEM, and Maximum Vegetation Height Product from Southern Idaho, 2014
This dataset provides the point cloud data derived from small footprint waveform LiDAR data collected in August 2014 over Reynolds Creek Experimental Watershed and Hollister in southern Idaho. The LiDAR data have been georeferenced, noise-filtered, and corrected for misalignment for overlapping flight lines and are provided in 1 km tiles. High resolution digital elevation models and maps of maximum vegetation height derived from the LiDAR data are provided for each site.
LiDAR and DTM Data from Tapajos National Forest in Para, Brazil, 2008
This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil during late June and early July 2008. The surveys encompass the K67 and K83 eddy flux towers and a deforestation chronosequence managed through the Large-Scale Biosphere-Atmosphere Experiment in Amazonia providing long-term flux measurements of carbon dioxide. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.
First ISCCP Regional Experiment (FIRE) Cirrus 2 Volume Imaging Lidar (VIL) Altitude vs. Time (RTI) Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.This data set contains altitude vs. time images (RTIs) of cirrus clouds collected during FIRE Cirrus 2 at Coffeyville, Kansas. The images were sampled at 5 km intervals in the cross wind scans.
First ISCCP Regional Experiment (FIRE) Cirrus 1 NASA ER-2 Cloud Lidar System Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. This data set contains cloud top height and ground height calculations from the NASA ER-2 Cloud LIDAR System (CLS) during the Wisconsin FIRE experiment in October, 1986.
DC3 Remotely Sensed DC-8 Differential Absorption Lidar (DIAL) Data
DC3_AircraftRemoteSensing_DIAL_DC8_Data are remotely sensed data collected by the Differential Absorption Lidar (DIAL) onboard the DC-8 aircraft during the Deep Convective Clouds and Chemistry (DC3) field campaign. Data collection for this product is complete.The Deep Convective Clouds and Chemistry (DC3) field campaign sought to understand the dynamical, physical, and lightning processes of deep, mid-latitude continental convective clouds and to define the impact of these clouds on upper tropospheric composition and chemistry. DC3 was conducted from May to June 2012 with a base location of Salina, Kansas. Observations were conducted in northeastern Colorado, west Texas to central Oklahoma, and northern Alabama in order to provide a wide geographic sample of storm types and boundary layer compositions, as well as to sample convection.DC3 had two primary science objectives. The first was to investigate storm dynamics and physics, lightning and its production of nitrogen oxides, cloud hydrometeor effects on wet deposition of species, surface emission variability, and chemistry in anvil clouds. Observations related to this objective focused on the early stages of active convection. The second objective was to investigate changes in upper tropospheric chemistry and composition after active convection. Observations related to this objective focused on the 12-48 hours following convection. This objective also served to explore seasonal change of upper tropospheric chemistry.In addition to using the NSF/NCAR Gulfstream-V (GV) aircraft, the NASA DC-8 was used during DC3 to provide in-situ measurements of the convective storm inflow and remotely-sensed measurements used for flight planning and column characterization. DC3 utilized ground-based radar networks spread across its observation area to measure the physical and kinematic characteristics of storms. Additional sampling strategies relied on lightning mapping arrays, radiosondes, and precipitation collection. Lastly, DC3 used data collected from various satellite instruments to achieve its goals, focusing on measurements from CALIOP onboard CALIPSO and CPL onboard CloudSat. In addition to providing an extensive set of data related to deep, mid-latitude continental convective clouds and analyzing their impacts on upper tropospheric composition and chemistry, DC3 improved models used to predict convective transport. DC3 improved knowledge of convection and chemistry, and provided information necessary to understanding the processes relating to ozone in the upper troposphere.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-20
CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data before averaging.Description of the Four Sky Conditions (Day, Night):1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence2) Cloud-Free: Only cloud-free level 2 columns are averaged3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averagedCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D’Etudes Spatiales).
Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the Southern Great Plains (SGP97) Field Experiment
The LASE Southern Great Plains (SGP97) field experiment was conducted in Oklahoma during June-July 1997. SGP97 was a NASA EOS Interdisciplinary Science Investigation to validate soil moisture retrieval algorithms at satellite temporal and spatial scales using remote sensing moisture measurements from aircraft and in situ soil measurements. One of the major objectives of SGP97 was the study of the impact of soil moisture on the atmospheric boundary layer (ABL) development. To aid convective boundary layer (CBL) studies, LASE was deployed on the NASA P-3B aircraft along with other instruments. LASE (Lidar Atmospheric Sensing Experiment) airborne lidar produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. Such profiles show the vertical context in which the SGP97 in situ and radiometric measurements are made, thus supporting the vertical extension of the in situ measurements and detecting any unsampled layers or inhomogeneities, which would impact the surface and airborne measurements.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-21
CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is ongoing.The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.Description of the Four Sky Conditions (Day, Night):1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence2) Cloud-Free: Only cloud-free level 2 columns are averaged3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averagedCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).
LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008
This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.
CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard V4-21
CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard Version 4-20 data product. Data collection, which is ongoing, is collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, there are four different types of level 3 files produced, depending on the sky condition and the temporal coverage of the data before averaging: Description of the Four Sky Conditions (Day, Night)1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,2) Cloud-Free: Only cloud-free level 2 columns are averaged,3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averagedCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation with five other satellites in the international "A-Train" (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).
China Brazil Joint Na-K LIDAR data
<p>These data are photon counting of Na-K Dual-beam LIDAR operation from 2017 to 2019 in São José dos Campos under the Cooperative Agreement between the National Space Science Center-CAS, China, and the National Institute for Space Research - MCTI, Brazil. That agreement was signed in São José dos Campos on August 6th, 2014. </p> <p>More information about the system and data acquisition can be found at Adrioli et al. (2020) (https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JA027164)</p>
High resolution lidar data of the Khumbu glacier
<p>This Dryad repository contains an airborne lidar dataset of the Khumbu Glacier from the base of the Lhotse Face in the Western Cwm to the trekking village of Dugla at the toe of the glacier. The data were collected by helicopter borne lidar on 27 May 2019 to 28 May 2019. The data were collected as part of the National Geographic and Rolex Perpetual Planet Everest Expedition.</p> <p>This research was conducted in partnership with National Geographic Society, Rolex, Tribhuvan University, and the Nepal Survey Department, with approval from all relevant agencies of the Government of Nepal.</p>
Joint Mitnor Cave T-LiDAR Scan data
<p>Here we present the first detailed, modern survey of Joint Mitnor Cave, Buckfastleigh, Devon, UK. The cave is an extremely important Last Interglacial palaeontological site because it is the type site for the hippopotamus-dominated British Pleistocene mammal assemblage of that period, "<i>The Joint Mitnor Cave Mammal Assemblage Zone</i>"; and because it is the least damaged Last Interglacial cave bone bed still remaining in Britain.</p> <p>The survey, meticulously drawn from terrestrial LIDAR scans, offers a precise (± <3mm 3D 1 δ) view of the cave, and can act as the base map for future conservation projects and other studies.</p>
Data from: Mapping and exploring variation in post-fire vegetation recovery following mixed severity wildfire using airborne LiDAR
There is a public perception that large high severity wildfires decrease biodiversity and increase fire hazard by homogenising vegetation composition and increasing the cover of mid-story vegetation. But a growing literature suggests that vegetation responses are nuanced. LiDAR technology provides a promising remote sensing tool to test hypotheses about post-fire vegetation regrowth because vegetation cover can be quantified within different height strata at fine-scales over large areas. We assess the usefulness of airborne LiDAR data for measuring post-fire mid-story vegetation regrowth over a range of spatial resolutions (10x10m, 30x30m, 50x50m, 100x100m cell size) and investigate the effect of fire severity on regrowth amount and spatial pattern following a mixed severity wildfire in Warrumbungle National Park, Australia. We predicted that recovery would be more vigorous in areas of high fire severity, because park managers observed dense post-fire regrowth in these areas. Moderate to strong positive associations were observed between LiDAR and field surveys of mid-story vegetation cover between 0.5–3m. Thus our LiDAR survey was an apt representation of on-ground vegetation cover. LiDAR-derived mid-story vegetation cover was 22–40% higher in areas of low and moderate than high fire severity. Linear mixed-effects models showed that fire severity was among the strongest biophysical predictors of mid-story vegetation cover irrespective of spatial resolution. However much of the variance associated with these models was unexplained, presumably because soil seedbanks varied at finer-scales than our LiDAR maps. Dense patches of mid-story vegetation regrowth were small (median size 0.01ha) and evenly distributed between areas of low, moderate and high fire severity, demonstrating that high severity fires do not homogenise vegetation cover. Our results are relevant for ecosystem conservation and fire management because they: indicate that native vegetation are responsive and resilient to high severity fire, and show the usefulness of remote sensing tools such as LiDAR to monitor post-fire vegetation recovery over large area in situ.
Data for "Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought"
<p>This dataset contains data described in '<em>Multi-scale lidar measurements suggest miombo woodlands contain substantially more carbon than thought</em>' (<a href="doi.org/10.1038/s43247-024-01448-x">publication link</a>). These data are a subset of those collected across the 50,000 ha region of interest (designation: GIL) across and beyond Gilé National Park, Mozambique. In particular, these data concern a ~350 ha subsection (designation: GIL04). See the Materials and Methods section of the paper for a description of how these data were collected. Additionally, data used for creating the graphs and charts of the manuscript are included. This dataset comprises:</p> <ul> <li><strong>Conventional inventory measurements:</strong> <ul> <li>Digitised forest inventory of plot GIL04-01, including automatic correction of taxonomic information, and attribution of basic wood density (.csv)</li> </ul> </li> <li><strong>Terrestrial laser scanning measurements and derived products:</strong> <ul> <li>0007MZ_GIL04-01_4587*_81616*.laz: 4 x 10 m tiled TLS point clouds</li> <li>0007MZ_GIL04-01_t974.laz: point cloud of an individual tree segmented from the above tiles</li> <li>0007MZ_GIL04-01_t974.mat: quantitative structural model constructed from the above individual tree point cloud</li> <li>0007MZ_GIL04-01_L4_AGB_10m.tiff: gridded estimate (10 m resolution) of TLS-derived aboveground biomass across GIL04-01</li> </ul> </li> <li><strong>Unoccupied aerial vehicle laser scanning measurements and derived products:</strong> <ul> <li>0007MZ_GIL04_4587*_81616*.laz: 4 x 50 m tiled UAV-LS point clouds overlapping the above TLS point clouds</li> <li>0007MZ_GIL04_L3*.tiff: UAV-LS-derived metrics of forest structure across GIL04 (10 m resolution unless stated otherwise)</li> <li>CHM: canopy height and digital elevation model (1 m resolution)</li> <li>RH: 100 relative height metrics in 1% intervals</li> <li>structure_metrics: 14 structural metrics (see paper for details)</li> <li>voxelvolumes: 3D voxel occupancy rates in 1 m bands from 0 to 50 m above terrain</li> <li>0007MZ_GIL04_L4_AGB.tiff: gridded estimate (10 m resolution) of predicted above-ground biomass across GIL04 (10 m resolution)</li> </ul> </li> <li><strong>Aerial laser scanning measurements and derived products:</strong> <ul> <li>0007MZ_GIL_458700_8161600.laz: 1 x 100m tiled ALS point cloud coincident with above UAV-LS point clouds</li> <li>0007MZ_GIL_L3*_clipped.tif: ALS-derived metrics of forest structure across GIL04, in the same format as above UAV-LS metrics</li> <li>0007MZ_GIL_L4_AGB_clipped.tif: gridded estimate (10 m resolution) of predicted above-ground biomass across GIL04 (10 m resolution)</li> </ul> </li> <li><strong>Data for manuscript graphs:</strong> <ul> <li>.csv files containing the data to reproduce Fig.3-5</li> </ul> </li> </ul>
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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.
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.