Baselight
Sign In

Daylight Characteristics Across Locations

Spectral Irradiance Measurements

@kaggle.thedevastator_daylight_characteristics_across_locations

Loading...
Loading...

About this Dataset

Daylight Characteristics Across Locations

Daylight Characteristics Across Locations

Spectral Irradiance Measurements

By [source]

About this dataset

This dataset provides insight into the impact environmental factors have on the reflectance, transmittance, and spectral irradiance of daylight for various locations around the world. By collecting data from a variety of sources in one file, we are able to compare measurements across different locales and gain a deeper understanding of how light varies in different regions. With this information, we can not only discover how people view and interact with daylight in various places but also use this knowledge to potentially design energy-efficient structures that take advantage of natural light. This dataset is invaluable for scientific research related to energy efficiency and climate mapping. Additionally, this data could be used in more creative pursuits such as landscape photography or art installations that incorporate natural lighting schemes from various locations into their designs. Discovering how sunlight shifts among different environments can provide a wealth of opportunity and intriguing insights into the natural phenomenon around us

More Datasets

For more datasets, click here.

Featured Notebooks

  • 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset is a great resource for understanding the different characteristics of daylight across various locations. The data included in this dataset provides information on reflectance, transmittance, and spectral irradiance of daylight at different wavelengths. This allows you to compare and contrast the differences between different locations and study how environmental factors may affect these characteristics.

To make the most out of this dataset, here is what you may want to do:

  • Compare the reflectance across multiple locations - look at how much light from sunlight reflects back from various surfaces at each location
  • Discover how transmittance varies across geographic regions - measure how much energy passes through a given material or surface for each location
  • Examine the spectral radiance values for explicit wavelength ranges - observe which wavelength has a higher energy measurements for particular locations or over an entire geographic region
  • Investigate scientific names associated with certain locations - gain insights into habitat types or environments where daylights’ effects are evident
  • Utilize column data to understand which wavelength has larger effect – compare intensity of light at certain wavelengths measuring effects on surface temperature, visibility etc., in order to have better understanding of impact area when it comes to its ecology

Research Ideas

  • Analyzing the seasonal variation of daylight’s reflectance levels to study the effects of changing temperatures and humidity over different timescales.
  • Investigating how physical obstructions such as buildings, vegetation, or cloud cover affect the transmittance rates of light in a certain area.
  • Comparing the amount of energy received from daylight at different locations and climates to determine overall energy efficiency throughout the year using spectral radiance measurements

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Daylight_TimeLapse_v1-2.csv

Column name Description
Info. Information about the location and environmental factors that could impact the results. (Text)
Data Date when the measurements were taken. (Date)
Spectral radiance [W sr-1m-2nm-1] Measurement of the amount of energy emitted from a given area in a given wavelength range. (Numeric)

File: Transmittance_FrontSideUp.csv

Column name Description
Scientific name The scientific name of the species observed. (String)
Date The date the measurements were taken. (Date)
380 [nm] The reflectance, transmittance and spectral irradiance of daylight at 380 nanometers. (Float)
**385 ** The reflectance, transmittance and spectral irradiance of daylight at 385 nanometers. (Float)
**390 ** The reflectance, transmittance and spectral irradiance of daylight at 390 nanometers. (Float)
**395 ** The reflectance, transmittance and spectral irradiance of daylight at 395 nanometers. (Float)
**400 ** The reflectance, transmittance and spectral irradiance of daylight at 400 nanometers. (Float)
**405 ** The reflectance, transmittance and spectral irradiance of daylight at 405 nanometers. (Float)
**410 ** The reflectance, transmittance and spectral irradiance of daylight at 410 nanometers. (Float)
**415 ** The reflectance, transmittance and spectral irradiance of daylight at 415 nanometers. (Float)
**420 ** The reflectance, transmittance and spectral irradiance of daylight at 420 nanometers. (Float)
**425 ** The reflectance, transmittance and spectral irradiance of daylight at 425 nanometers. (Float)
**430 ** The reflectance, transmittance and spectral irradiance of daylight at 430 nanometers. (Float)
**435 ** The reflectance, transmittance and spectral irradiance of daylight at 435 nanometers. (Float)
**440 ** The reflectance, transmittance and spectral irradiance of daylight at 440 nanometers. (Float)
**445 ** The reflectance, transmittance and spectral irradiance of daylight at 445 nanometers. (Float)
**450 ** The reflectance, transmittance and spectral irradiance of daylight at 450 nanometers. (Float)
**455 ** The reflectance, transmittance and spectral irradiance of daylight at 455 nanometers. (Float)
**460 ** The reflectance, transmittance and spectral irradiance of daylight at 460 nanometers. (Float)
**465 ** The reflectance, transmittance and spectral irradiance

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Daylight Differentlocations V1–2

@kaggle.thedevastator_daylight_characteristics_across_locations.daylight_differentlocations_v1_2
  • 630.36 KB
  • 119 rows
  • 412 columns
Loading... 

CREATE TABLE daylight_differentlocations_v1_2 (
  "unnamed_0" VARCHAR,
  "info" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR,
  "unnamed_8" VARCHAR,
  "data" VARCHAR,
  "unnamed_10" VARCHAR,
  "spectral_irradiance_w_m_2nm_1" VARCHAR,
  "unnamed_12" DOUBLE,
  "unnamed_13" DOUBLE,
  "unnamed_14" DOUBLE,
  "unnamed_15" DOUBLE,
  "unnamed_16" DOUBLE,
  "unnamed_17" DOUBLE,
  "unnamed_18" DOUBLE,
  "unnamed_19" DOUBLE,
  "unnamed_20" DOUBLE,
  "unnamed_21" DOUBLE,
  "unnamed_22" DOUBLE,
  "unnamed_23" DOUBLE,
  "unnamed_24" DOUBLE,
  "unnamed_25" DOUBLE,
  "unnamed_26" DOUBLE,
  "unnamed_27" DOUBLE,
  "unnamed_28" DOUBLE,
  "unnamed_29" DOUBLE,
  "unnamed_30" DOUBLE,
  "unnamed_31" DOUBLE,
  "unnamed_32" DOUBLE,
  "unnamed_33" DOUBLE,
  "unnamed_34" DOUBLE,
  "unnamed_35" DOUBLE,
  "unnamed_36" DOUBLE,
  "unnamed_37" DOUBLE,
  "unnamed_38" DOUBLE,
  "unnamed_39" DOUBLE,
  "unnamed_40" DOUBLE,
  "unnamed_41" DOUBLE,
  "unnamed_42" DOUBLE,
  "unnamed_43" DOUBLE,
  "unnamed_44" DOUBLE,
  "unnamed_45" DOUBLE,
  "unnamed_46" DOUBLE,
  "unnamed_47" DOUBLE,
  "unnamed_48" DOUBLE,
  "unnamed_49" DOUBLE,
  "unnamed_50" DOUBLE,
  "unnamed_51" DOUBLE,
  "unnamed_52" DOUBLE,
  "unnamed_53" DOUBLE,
  "unnamed_54" DOUBLE,
  "unnamed_55" DOUBLE,
  "unnamed_56" DOUBLE,
  "unnamed_57" DOUBLE,
  "unnamed_58" DOUBLE,
  "unnamed_59" DOUBLE,
  "unnamed_60" DOUBLE,
  "unnamed_61" DOUBLE,
  "unnamed_62" DOUBLE,
  "unnamed_63" DOUBLE,
  "unnamed_64" DOUBLE,
  "unnamed_65" DOUBLE,
  "unnamed_66" DOUBLE,
  "unnamed_67" DOUBLE,
  "unnamed_68" DOUBLE,
  "unnamed_69" DOUBLE,
  "unnamed_70" DOUBLE,
  "unnamed_71" DOUBLE,
  "unnamed_72" DOUBLE,
  "unnamed_73" DOUBLE,
  "unnamed_74" DOUBLE,
  "unnamed_75" DOUBLE,
  "unnamed_76" DOUBLE,
  "unnamed_77" DOUBLE,
  "unnamed_78" DOUBLE,
  "unnamed_79" DOUBLE,
  "unnamed_80" DOUBLE,
  "unnamed_81" DOUBLE,
  "unnamed_82" DOUBLE,
  "unnamed_83" DOUBLE,
  "unnamed_84" DOUBLE,
  "unnamed_85" DOUBLE,
  "unnamed_86" DOUBLE,
  "unnamed_87" DOUBLE,
  "unnamed_88" DOUBLE,
  "unnamed_89" DOUBLE,
  "unnamed_90" DOUBLE,
  "unnamed_91" DOUBLE,
  "unnamed_92" DOUBLE,
  "unnamed_93" DOUBLE,
  "unnamed_94" DOUBLE,
  "unnamed_95" DOUBLE,
  "unnamed_96" DOUBLE,
  "unnamed_97" DOUBLE,
  "unnamed_98" DOUBLE,
  "unnamed_99" DOUBLE
);

Daylight Timelapse V1–2

@kaggle.thedevastator_daylight_characteristics_across_locations.daylight_timelapse_v1_2
  • 1.41 MB
  • 360 rows
  • 411 columns
Loading... 

CREATE TABLE daylight_timelapse_v1_2 (
  "unnamed_0" VARCHAR,
  "info" VARCHAR,
  "unnamed_2" VARCHAR,
  "unnamed_3" VARCHAR,
  "unnamed_4" VARCHAR,
  "unnamed_5" VARCHAR,
  "unnamed_6" VARCHAR,
  "unnamed_7" VARCHAR,
  "data" VARCHAR,
  "unnamed_9" VARCHAR,
  "spectral_radiance_w_sr_1m_2nm_1" VARCHAR,
  "unnamed_11" DOUBLE,
  "unnamed_12" DOUBLE,
  "unnamed_13" DOUBLE,
  "unnamed_14" DOUBLE,
  "unnamed_15" DOUBLE,
  "unnamed_16" DOUBLE,
  "unnamed_17" DOUBLE,
  "unnamed_18" DOUBLE,
  "unnamed_19" DOUBLE,
  "unnamed_20" DOUBLE,
  "unnamed_21" DOUBLE,
  "unnamed_22" DOUBLE,
  "unnamed_23" DOUBLE,
  "unnamed_24" DOUBLE,
  "unnamed_25" DOUBLE,
  "unnamed_26" DOUBLE,
  "unnamed_27" DOUBLE,
  "unnamed_28" DOUBLE,
  "unnamed_29" DOUBLE,
  "unnamed_30" DOUBLE,
  "unnamed_31" DOUBLE,
  "unnamed_32" DOUBLE,
  "unnamed_33" DOUBLE,
  "unnamed_34" DOUBLE,
  "unnamed_35" DOUBLE,
  "unnamed_36" DOUBLE,
  "unnamed_37" DOUBLE,
  "unnamed_38" DOUBLE,
  "unnamed_39" DOUBLE,
  "unnamed_40" DOUBLE,
  "unnamed_41" DOUBLE,
  "unnamed_42" DOUBLE,
  "unnamed_43" DOUBLE,
  "unnamed_44" DOUBLE,
  "unnamed_45" DOUBLE,
  "unnamed_46" DOUBLE,
  "unnamed_47" DOUBLE,
  "unnamed_48" DOUBLE,
  "unnamed_49" DOUBLE,
  "unnamed_50" DOUBLE,
  "unnamed_51" DOUBLE,
  "unnamed_52" DOUBLE,
  "unnamed_53" DOUBLE,
  "unnamed_54" DOUBLE,
  "unnamed_55" DOUBLE,
  "unnamed_56" DOUBLE,
  "unnamed_57" DOUBLE,
  "unnamed_58" DOUBLE,
  "unnamed_59" DOUBLE,
  "unnamed_60" DOUBLE,
  "unnamed_61" DOUBLE,
  "unnamed_62" DOUBLE,
  "unnamed_63" DOUBLE,
  "unnamed_64" DOUBLE,
  "unnamed_65" DOUBLE,
  "unnamed_66" DOUBLE,
  "unnamed_67" DOUBLE,
  "unnamed_68" DOUBLE,
  "unnamed_69" DOUBLE,
  "unnamed_70" DOUBLE,
  "unnamed_71" DOUBLE,
  "unnamed_72" DOUBLE,
  "unnamed_73" DOUBLE,
  "unnamed_74" DOUBLE,
  "unnamed_75" DOUBLE,
  "unnamed_76" DOUBLE,
  "unnamed_77" DOUBLE,
  "unnamed_78" DOUBLE,
  "unnamed_79" DOUBLE,
  "unnamed_80" DOUBLE,
  "unnamed_81" DOUBLE,
  "unnamed_82" DOUBLE,
  "unnamed_83" DOUBLE,
  "unnamed_84" DOUBLE,
  "unnamed_85" DOUBLE,
  "unnamed_86" DOUBLE,
  "unnamed_87" DOUBLE,
  "unnamed_88" DOUBLE,
  "unnamed_89" DOUBLE,
  "unnamed_90" DOUBLE,
  "unnamed_91" DOUBLE,
  "unnamed_92" DOUBLE,
  "unnamed_93" DOUBLE,
  "unnamed_94" DOUBLE,
  "unnamed_95" DOUBLE,
  "unnamed_96" DOUBLE,
  "unnamed_97" DOUBLE,
  "unnamed_98" DOUBLE,
  "unnamed_99" DOUBLE
);

Reflectance V1–1

@kaggle.thedevastator_daylight_characteristics_across_locations.reflectance_v1_1
  • 315.02 KB
  • 399 rows
  • 85 columns
Loading... 

CREATE TABLE reflectance_v1_1 (
  "category" VARCHAR,
  "scientific_name" VARCHAR,
  "used_in_analysis" VARCHAR,
  "date" TIMESTAMP,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Reflectance V1–2

@kaggle.thedevastator_daylight_characteristics_across_locations.reflectance_v1_2
  • 315.02 KB
  • 399 rows
  • 85 columns
Loading... 

CREATE TABLE reflectance_v1_2 (
  "category" VARCHAR,
  "scientific_name" VARCHAR,
  "used_in_analysis" VARCHAR,
  "date" TIMESTAMP,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Backsideup

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_backsideup
  • 84.07 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_backsideup (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Backsideup V1–1

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_backsideup_v1_1
  • 84.07 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_backsideup_v1_1 (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Backsideup V1–2

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_backsideup_v1_2
  • 84.07 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_backsideup_v1_2 (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Frontsideup

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_frontsideup
  • 84.34 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_frontsideup (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Frontsideup V1–1

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_frontsideup_v1_1
  • 84.34 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_frontsideup_v1_1 (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Transmittance Frontsideup V1–2

@kaggle.thedevastator_daylight_characteristics_across_locations.transmittance_frontsideup_v1_2
  • 84.34 KB
  • 93 rows
  • 83 columns
Loading... 

CREATE TABLE transmittance_frontsideup_v1_2 (
  "scientific_name" VARCHAR,
  "date" VARCHAR,
  "n_380_nm" DOUBLE,
  "n_385" DOUBLE,
  "n_390" DOUBLE,
  "n_395" DOUBLE,
  "n_400" DOUBLE,
  "n_405" DOUBLE,
  "n_410" DOUBLE,
  "n_415" DOUBLE,
  "n_420" DOUBLE,
  "n_425" DOUBLE,
  "n_430" DOUBLE,
  "n_435" DOUBLE,
  "n_440" DOUBLE,
  "n_445" DOUBLE,
  "n_450" DOUBLE,
  "n_455" DOUBLE,
  "n_460" DOUBLE,
  "n_465" DOUBLE,
  "n_470" DOUBLE,
  "n_475" DOUBLE,
  "n_480" DOUBLE,
  "n_485" DOUBLE,
  "n_490" DOUBLE,
  "n_495" DOUBLE,
  "n_500" DOUBLE,
  "n_505" DOUBLE,
  "n_510" DOUBLE,
  "n_515" DOUBLE,
  "n_520" DOUBLE,
  "n_525" DOUBLE,
  "n_530" DOUBLE,
  "n_535" DOUBLE,
  "n_540" DOUBLE,
  "n_545" DOUBLE,
  "n_550" DOUBLE,
  "n_555" DOUBLE,
  "n_560" DOUBLE,
  "n_565" DOUBLE,
  "n_570" DOUBLE,
  "n_575" DOUBLE,
  "n_580" DOUBLE,
  "n_585" DOUBLE,
  "n_590" DOUBLE,
  "n_595" DOUBLE,
  "n_600" DOUBLE,
  "n_605" DOUBLE,
  "n_610" DOUBLE,
  "n_615" DOUBLE,
  "n_620" DOUBLE,
  "n_625" DOUBLE,
  "n_630" DOUBLE,
  "n_635" DOUBLE,
  "n_640" DOUBLE,
  "n_645" DOUBLE,
  "n_650" DOUBLE,
  "n_655" DOUBLE,
  "n_660" DOUBLE,
  "n_665" DOUBLE,
  "n_670" DOUBLE,
  "n_675" DOUBLE,
  "n_680" DOUBLE,
  "n_685" DOUBLE,
  "n_690" DOUBLE,
  "n_695" DOUBLE,
  "n_700" DOUBLE,
  "n_705" DOUBLE,
  "n_710" DOUBLE,
  "n_715" DOUBLE,
  "n_720" DOUBLE,
  "n_725" DOUBLE,
  "n_730" DOUBLE,
  "n_735" DOUBLE,
  "n_740" DOUBLE,
  "n_745" DOUBLE,
  "n_750" DOUBLE,
  "n_755" DOUBLE,
  "n_760" DOUBLE,
  "n_765" DOUBLE,
  "n_770" DOUBLE,
  "n_775" DOUBLE,
  "n_780" DOUBLE
);

Share link

Anyone who has the link will be able to view this.