OSE/ISC maintains a network of stream, acequia, ditch and well monitoring sites that electronically transmits data values via radio and satellite telemetry and stores the data in a database. This real-time water measurement data is available for each active gage/well shown on select basin maps.

Group averaged intersubject correlation (ISC) during collaboration phase

Collection description

The collaborative 3-person Pictionary task is a multi-player version of the Pictionary game [1]. The goal of the task is to draw a verb independently and collectively for others to guess. Nine verbs were drawn over three runs. The drawing of each verb can be split into three phases: independent phase (two blocks), evaluation phase (one block), and the collaboration phase (three blocks). Each block lasted for 30s, and was separated by a fixation period jittering around 7-8s.
Ref[1]: Xie, Hua, et al. "Finding the neural correlates of collaboration using a three-person fMRI hyperscanning paradigm." bioRxiv (2019): 782870.

Subject species

homo sapiens

Modality

fMRI-BOLD

Analysis level

group

Cognitive paradigm (task)

drawing

Map type

Other

The ISC_BANKFULL_WIDTH_S table is the Statistical Summary table for the Bankfull Width metric at the 100m Section level.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

ISCtoolbox

Collection description

Statistical maps from testing the proper sample size in ISC analysis with ISCtoolbox for Matlab.

CorrMap_XXSubj maps define the average paired correlation from 1000 tests for subject groups of 10 to 65 subjects
MaeMap_XXSubj maps define the average paired MAE from 1000 tests for subject groups of 10 to 65 subjects
VarMap_XXSubj maps define the average paired Variance from 1000 tests for subject groups of 10 to 65 subjects

ISCcorrmapBand0Session1.nii has the statistical map of basic ISC analysis for the full data set of 130 subjects with Verbal Generation task from Functional Reference Battery of ICBM.

Subject species

homo sapiens

Map type

Other

The ISC2010_TOE_OF_BANK line features represent the left and right stream bed lines of the river channel for each River Reach.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC2010_RIVER_CENTRELINE_S line features represent the set of river reaches that are assessed in the 2010 ISC. This data set is a version of the ISC2010_RIVER_CENTRELINE_R data set where each Reach is divided into 100m Sections. Each 100m Section has Metric Statistics assessed and recorded in Section Summary (_S) Tabes.

The ISC2010_RIVER_CENTRELINE_S is designed to JOIN to all ISC2010_

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC2010_BANKFULL_WIDTH_R polygon features represent the width between the top of the lowest bank and the corresponding height on the opposite bank for each River Reach.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC2010_TOP_OF_BANK line features represent the leveled left and right banks of the river channel. The bank lines have been leveled to the height of lower bank. This data set represents full River Reaches.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC2010_FULL_METRICS_PACKAGE represents the full set of available ISC2010 data sets. This includes all spatial (vector) features and all a-spatial statistical summary tables. The individual ISC2010 metric data sets can also be accessed separately. The Product Description "ISC2010 Remote Sensing Metrics" describes the remote sensing and mapping approach used to create all ISC2010 Metic data sets. Go to http://ics.water.vic.gov.au/ics/ River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources. The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

The ISC2010_WATER_BODIES polygon features represent the areas of the stream bed that contained water at the time of the survey. Water body features less than 5m2 have been removed so that data volume is manageable.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

H1H2 t

Collection description

Subject species

homo sapiens

Map type

Other

Credit report of Isc Gmbh contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

This dataset contains depth maps recorded by an ESPROS epc635 Time-of-Flight camera and RGB images from a Raspberry Pi camera module V2, for use in the fusion of these sensors to increase the resolution of the ToF camera.

The dataset contains three scenes, one of a paper dodecahedron, a wooden grid with holes of various sizes, and a set of wooden bars with different distances between them. All scenes have a black background with low reflectivity at the 3D ToF camera’s illumination wavelength to reduce multi-path interference. An HDR image is created by combining two 3D ToF depth maps with different integration times based on the recorded amplitude of each pixel. The depth map is then transformed to the perspective of the RGB camera and the resulting holes are filled with the mean of their neighboring pixels.

The content of the included files are:

• Recorded HDR ToF camera depth maps (160x60), containing the depth values in millimeters, stored as 16-bit PNG files.
• Recorded RGB images (2560x960)

10 Active Global Yellow Isc buyers list and Global Yellow Isc importers directory compiled from actual Global import shipments of Yellow Isc.

Credit report of Isc Konstanz Ev contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Credit report of Isc, Inc. contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

Credit report of Isc Elevator Products contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

* = rostral/anterior part.† = posterior part.N refers to the number of voxels in each cluster. Anatomical labeling is based on the group data, and was performed with the Automated Anatomical Labeling (AAL) tool. Labels are listed if an ISC map cluster extended ≥10 voxels into the AAL defined area.

48 Global exporters importers export import shipment records of Yellow isc with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The ISC2010_LARGE_TREES_S table is the Statistical Summary table for the Large Trees Metric at the 100m Section level.

The ISC2010_LARGE_TREES_S table is designed to JOIN to the ISC2010_RIVER_CENTRELINES_S feature class.

River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography.

A State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.

The Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics.

Remote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics. The Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.