SLKs or Straight Line Kilometers are a location reference system used by Main Roads Western Australia to define the location of features or events along a road. This layer shows SLK points (every 100m) along the left and single carriageways for all State and Local Roads, Main Roads controlled paths contained within the road centreline of Main Roads road asset database. The purpose of this layer is to identify and label the measure of SLK along a particular route and is provided for information only. The SLK points are based on geometric measure and include points of equation. This means that you may notice “jumps” in the SLK between two points that are not equal to 100m. This is as a result of network changes that have been incorporated into the spatial road centr eline.A point of equation is a business term used to describe a point on the road network, which has two SLK references, one for the section leading up to it, and one for the section leaving from it. A Point of Equation is either: •A gap, which occurs when the new deviation/realignment is built shorter than the existing road. An SLK range is missing. •An overlap, which occurs when the new deviation/realignment is built longer than the existing road. An SLK range is duplicatedNote that you are accessing this data pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Creative Commons CC BY 4.0Data Dictionary

Field Name Type Description

ObjectID OID System generated unique number, overridden on data update

Shape Point M System generated identifier for shape type

RoadCway Text,255 Concatenation of Main Roads Road Number and Carriageway columns. Used to generate unique routes per road carriageway combination.

SLKMin Double The maximum SLK (measure) of the RoadCway

SLKMax Double The maximum SLK (measure) of the RoadCway

SLKGen Double The SLK measure generated at 100m intervals (0.1, 0.2 etc..)

POINT_X Double The Longitude of the SLK point

POINT_Y Double The latitude of the SLK point

StreetviewURL Text.100 A Google Maps Streeview URL link to the SLK point on the road

RoadSLK Text,50 A concatenation of the RoadCway and SLKGen columns

Road_Name Text, 80 The Main Roads route name of the road

Common_Usage_Name Text, 80 The name of the road

RN_SLK Text, 100 A concatenation of the Road_Name and SLKGen columns

CN_SLK Text, 100 A concatenation of the Common Usage Name and SLKGen columns

SLKs or Straight Line Kilometers are a location reference system used by Main Roads Western Australia to define the location of features or events along a road. This layer shows SLK points (every 100m) along the left and single carriageways for all State and Local Roads, Main Roads controlled paths contained within the road centreline of Main Roads road asset database. The purpose of this layer is to identify and label the measure of SLK along a particular route and is provided for information only. The SLK points are based on geometric measure and include points of equation. This means that you may notice “jumps” in the SLK between two points that are not equal to 100m. This is as a result of network changes that have been incorporated into the spatial road centr eline.A point of equation is a business term used to describe a point on the road network, which has two SLK references, one for the section leading up to it, and one for the section leaving from it. A Point of Equation is either: • A gap, which occurs when the new deviation/realignment is built shorter than the existing road. An SLK range is missing. • An overlap, which occurs when the new deviation/realignment is built longer than the existing road. An SLK range is duplicatedNote that you are accessing this data pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Creative Commons CC BY 4.0Data Dictionary

Field Name
Type
Description


ObjectID
OID
System generated unique number, overridden on data update


Shape
Point M
System generated identifier for shape type


RoadCway
Text,255
Concatenation of Main Roads Road Number and Carriageway columns. Used to generate unique routes per road carriageway combination.


SLKMin
Double
The maximum SLK (measure) of the RoadCway


SLKMax
Double
The maximum SLK (measure) of the RoadCway


SLKGen
Double
The SLK measure generated at 100m intervals (0.1, 0.2 etc..)


POINT_X
Double
The Longitude of the SLK point


POINT_Y
Double
The latitude of the SLK point


StreetviewURL
Text.100
A Google Maps Streeview URL link to the SLK point on the road


RoadSLK
Text,50
A concatenation of the RoadCway and SLKGen columns


Road_Name
Text, 80
The Main Roads route name of the road


Common_Usage_Name
Text, 80
The name of the road


RN_SLK
Text, 100
A concatenation of the Road_Name and SLKGen columns


CN_SLK
Text, 100
A concatenation of the Common Usage Name and SLKGen columns

Note: Download the File Geodatabase for the m-aware network. The m-aware shapefile can be downloaded from here.

The purpose of this layer is to identify and label the measure of SLK along a particular route, at a particular scale, and is provided for information only. Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Creative Commons CC BY 4.0

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45 Global import shipment records of Mercedes Slk with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Due to relatively high costs and labor required for experimental profiling of the full target space of chemical compounds, various machine learning models have been proposed as cost-effective means to advance this process in terms of predicting the most potent compound-target interactions for subsequent verification. However, most of the model predictions lack direct experimental validation in the laboratory, making their practical benefits for drug discovery or repurposing applications largely unknown. Here, we therefore introduce and carefully test a systematic computational-experimental framework for the prediction and pre-clinical verification of drug-target interactions using a well-established kernel-based regression algorithm as the prediction model. To evaluate its performance, we first predicted unmeasured binding affinities in a large-scale kinase inhibitor profiling study, and then experimentally tested 100 compound-kinase pairs. The relatively high correlation of 0.77 (p < 0.0001) between the predicted and measured bioactivities supports the potential of the model for filling the experimental gaps in existing compound-target interaction maps. Further, we subjected the model to a more challenging task of predicting target interactions for such a new candidate drug compound that lacks prior binding profile information. As a specific case study, we used tivozanib, an investigational VEGF receptor inhibitor with currently unknown off-target profile. Among 7 kinases with high predicted affinity, we experimentally validated 4 new off-targets of tivozanib, namely the Src-family kinases FRK and FYN A, the non-receptor tyrosine kinase ABL1, and the serine/threonine kinase SLK. Our sub-sequent experimental validation protocol effectively avoids any possible information leakage between the training and validation data, and therefore enables rigorous model validation for practical applications. These results demonstrate that the kernel-based modeling approach offers practical benefits for probing novel insights into the mode of action of investigational compounds, and for the identification of new target selectivities for drug repurposing applications.

Special Use roads are public roads administered by Local Governments, which have a separate use in addition to their typical Road Hierarchy function. Categories of Special Use roads include Aboriginal Access Roads, Industrial Roads and Laneways. Aboriginal Access Roads typically are the main access roads to Aboriginal communities; Industrial Roads are found in designated industrial areas, and Laneways are typically short narrow roads providing access to residential areas. Data DictionarySUSE - Special Use Table Special Use name type alias sqlType length Description

ABORIGINAL ACCESS

Aboriginal Access Road

A Local Government road that is the main access road to a remote Aboriginal community.

INDUSTRIAL

Industrial Road

A Local Government road that carries a greater proportion of heavy vehicles, typically connecting to or located within a designated industrial area

LANEWAY

Laneway

A Local Government road or carriageway that typically accesses the rear or side of lots for residents or service vehicles. Laneways are narrower and carry less traffic than the surrounding road network.

name type alias sqlType length Description

OBJECTID esriFieldTypeOID OBJECTID sqlTypeOther 4 Unique record identifier. Default ESRI field.

ROAD esriFieldTypeString Road sqlTypeOther 30 Main Roads Road Number

ROAD_NAME esriFieldTypeString Road Name sqlTypeOther 240 Name given to road by Main Roads

COMMON_USAGE_NAME esriFieldTypeString Common Usage Name sqlTypeOther 240 Name of the road (approved by Landgate)

START_SLK esriFieldTypeDouble Start SLK sqlTypeDouble 8 Minimum SLK (chainage/measure) of the road

END_SLK esriFieldTypeDouble End SLK sqlTypeDouble 8 Maximum SLK (chainage/measure) of the road

CWY esriFieldTypeString CWY sqlTypeOther 6 Carriageway (L - Left, R - Right, S - Single)

START_TRUE_DIST esriFieldTypeDouble Start True Dist sqlTypeDouble 8 Minimum geometric measure of the road

END_TRUE_DIST esriFieldTypeDouble End True Dist sqlTypeDouble 8 Maximum geometric measure of the road

NETWORK_TYPE esriFieldTypeString Network Type sqlTypeOther 30 Type of network (examples include State Road, Local Road etc)

RA_NO esriFieldTypeString Main Roads Responsibility Area No. sqlTypeOther 2 Main Roads responsibility area (or region) number

RA_NAME esriFieldTypeString Main Roads Responsibility Area Name sqlTypeOther 30 Main Roads responsibility area (or region) name

LG_NO esriFieldTypeString Local Government No. sqlTypeOther 3 Local government area number

LG_NAME esriFieldTypeString Local Government Name sqlTypeOther 30 Local government area name

SPECIAL_USE esriFieldTypeString Special Use sqlTypeOther 20 Special use in addition to the Road Hierarchy of Local Government roads (examples Aboriginal Access, Industrial, Laneway)

ROUTE_NE_ID esriFieldTypeInteger Route ID sqlTypeInteger 4 Route identifier

GEOLOC.STLength esriFieldTypeDouble GEOLOC.STLength() sqlTypeDouble

Geometry Location

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Applied nested cross-validation strategies.

This publication set is a soil survey of the Burdekin River Irrigation Area, Selkirk section, North Queensland. The study area covers part of the Giru (8358-4) 1:50,000 map sheet. Approximately 5,600 hectares of land were mapped at a scale of 1:25,000 and land suitability for a range of crops was evaluated. Approximately 1050 sites were assessed using the free survey method and 88 soils were identified. This project is part of a series conducted across the Burdekin River Irrigation Area. View more on soil and land management.

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