Comprehensive Conifer Sampling In North America by Kaggle | Other

About this Dataset

Comprehensive Conifer Sampling In North America

Comprehensive Conifer Sampling in North America

Evaluating Geographic and Niche-Based Sampling Strategies

About this dataset

Our comprehensive dataset enables us to evaluate optimal sampling strategies for conifer species in North America. This dataset contains two .csv files; the conifer_database_climoccs.csv and the itrdb_occs.csv which include geographical coordinates as well as bioclimatic data, such as minimum and maximum temperature, available energy (AET) and potential energy (PET), their associated ratios, and precipitation of warmest/coldest quarters. These provide detailed information to understand how accurately and completely different study designs capture a species' climatic niche both geographically or in a niche-based framework. So dive into our extensive collection of data today to see if your study design stands up!

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How to use the dataset

This dataset can be used to compare different sampling strategies to accurately capture the climatic niche of conifers in North America. In order to make the most use of this data, we recommend following these steps:

Download and open both .csv files (conifer_database_climoccs.csv and itrdb_occs.csv).

Explore the contents of each file by looking for columns related to geographical coordinates (latitude and longitude) along with bioclimatic information such as minimum and maximum temperatures, available energy (AET) / potential energy(PET), their ratio etc.

Create visualizations using the data by plotting species occurrences on a map or creating histograms that show distribution by geographic region/(s).

Compare different study designs using both geographic-based schemes as well as niche-based frameworks which measure how accurately & how completely various designs sample a species' climatic niche/s).

Generate more meaningful insights by exploring relationships between variables like maximum temperature with precipitation seasonality, potential evapotranspiration with available energy etc through correlation analysis or regression modeling techniques etc..

Using this guide should help you gain a better understanding of the data contained in these two .csv files, so you can extract useful information from them in order to draw meaningful conclusions about optimal sampling strategies for conifers in North America!

Research Ideas

Identifying the geographic range of each species, and mapping their distributions to inform conservation efforts.

Comparing different study designs in both geographic and niche-based frameworks, and measuring how accurately and how completely these designs sample a species' climatic niche

Analyzing patterns of climate change over time by comparing current climatic conditions against the historical records from ITRDB to identify areas of potential vulnerability or areas that may require further study for resilience planning

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: conifer_database_climoccs.csv

Column name	Description
genus	The genus of the conifer species. (String)
country	The country in which the conifer species is found. (String)
x	The longitude of the conifer species. (Float)
bio1	The annual mean temperature of the conifer species. (Float)
bio2	The mean diurnal range of the conifer species. (Float)
bio3	The isothermality of the conifer species. (Float)
bio4	The temperature seasonality of the conifer species. (Float)
bio5	The maximum temperature of the warmest month of the conifer species. (Float)
bio6	The minimum temperature of the coldest month of the conifer species. (Float)
bio7	The temperature annual range of the conifer species. (Float)
bio8	The mean temperature of the wettest quarter of the conifer species. (Float)
bio9	The mean temperature of the driest quarter of the conifer species. (Float)
bio10	The mean temperature of the warmest quarter of the conifer species. (Float)
bio11	The mean temperature of the coldest quarter of the conifer species. (Float)
bio12	The annual precipitation of the conifer species. (Float)
bio13	The precipitation of the wettest month of the conifer species. (Float)
bio14	The precipitation of the driest month of the conifer species. (Float)
bio15	The precipitation seasonality of the conifer species. (Float)
bio16	The potential evapotranspiration of the conifer species. (Float)
bio17	The precipitation of the warmest quarter of the conifer species. (Float)
bio18	The precipitation of the coldest quarter of the conifer species. (Float)
bio19	The potential evapotranspiration ratio of the conifer species. (Float)
bio20	The mean annual potential
min.minT	The minimum temperature of the conifer species. (Float)
max.maxT	The maximum temperature of the conifer species. (Float)
aet	The available energy of the conifer species. (Float)
pet	The potential energy of the conifer species. (Float)
aet.pet.ratio	The ratio of available energy to potential energy of the conifer species. (Float)
not.hot.precip	The precipitation of the conifer species. (Float)

File: itrdb_occs.csv

Column name	Description
x	The longitude of the conifer species. (Float)
country	The country in which the conifer species is found. (String)
genus	The genus of the conifer species. (String)
bio1	The annual mean temperature of the conifer species. (Float)
bio2	The mean diurnal range of the conifer species. (Float)
bio3	The isothermality of the conifer species. (Float)
bio4	The temperature seasonality of the conifer species. (Float)
bio5	The maximum temperature of the warmest month of the conifer species. (Float)
bio6	The minimum temperature of the coldest month of the conifer species. (Float)
bio7	The temperature annual range of the conifer species. (Float)
bio8	The mean temperature of the wettest quarter of the conifer species. (Float)
bio9	The mean temperature of the driest quarter of the conifer species. (Float)
bio10	The mean temperature of the warmest quarter of the conifer species. (Float)
bio11	The mean temperature of the coldest quarter of the conifer species. (Float)
bio12	The annual precipitation of the conifer species. (Float)
bio13	The precipitation of the wettest month of the conifer species. (Float)
bio14	The precipitation of the driest month of the conifer species. (Float)
bio15	The precipitation seasonality of the conifer species. (Float)
bio16	The potential evapotranspiration of the conifer species. (Float)
bio17	The precipitation of the warmest quarter of the conifer species. (Float)
bio18	The precipitation of the coldest quarter of the conifer species. (Float)
bio19	The potential evapotranspiration ratio of the conifer species. (Float)
bio20	The mean annual potential
min.minT	The minimum temperature of the conifer species. (Float)
max.maxT	The maximum temperature of the conifer species. (Float)
aet	The available energy of the conifer species. (Float)
pet	The potential energy of the conifer species. (Float)
aet.pet.ratio	The ratio of available energy to potential energy of the conifer species. (Float)
not.hot.precip	The precipitation of the conifer species. (Float)
species_code	The code for the species of conifer. (String)
site_code	The code for the site of the conifer species. (String)
bio21	The minimum temperature of the conifer species. (Float)
bio22	The maximum temperature of the conifer species. (Float)
bio23	The available energy of the conifer species. (Float)
bio24	The potential energy of the conifer species. (Float)
bio25	The ratio of available energy to potential energy of the conifer species. (Float)
bio26	The precipitation of the conifer species. (Float)
bio27	The mean annual potential evapotranspiration of the conifer species. (Float)
bio28	The mean temperature of the wettest quarter of the conifer species. (Float)
bio29	The mean temperature of the driest quarter of the conifer species. (Float)
bio30	The mean temperature of the warmest quarter of the conifer species. (Float)
bio31	The mean temperature of the coldest quarter of the conifer species. (Float)
bio32	The precipitation of the wettest month of the conifer species. (Float)
bio33	The precipitation of the driest month of the conifer species. (Float)
bio34	The precipitation of the warmest quarter of the conifer species. (Float)
bio35	The precipitation of the coldest quarter of the conifer species. (Float)

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

Conifer Database Climoccs

@kaggle.thedevastator_comprehensive_conifer_sampling_in_north_america.conifer_database_climoccs

5.13 MB
22834 rows
46 columns


CREATE TABLE conifer_database_climoccs (
  "genus" VARCHAR,
  "species" VARCHAR,
  "country" VARCHAR,
  "x" DOUBLE,
  "y" DOUBLE,
  "bio1" DOUBLE,
  "bio2" DOUBLE,
  "bio3" DOUBLE,
  "bio4" DOUBLE,
  "bio5" DOUBLE,
  "bio6" DOUBLE,
  "bio7" DOUBLE,
  "bio8" DOUBLE,
  "bio9" DOUBLE,
  "bio10" DOUBLE,
  "bio11" DOUBLE,
  "bio12" DOUBLE,
  "bio13" DOUBLE,
  "bio14" DOUBLE,
  "bio15" DOUBLE,
  "bio16" DOUBLE,
  "bio17" DOUBLE,
  "bio18" DOUBLE,
  "bio19" DOUBLE,
  "bio20" DOUBLE,
  "bio21" DOUBLE,
  "bio22" DOUBLE,
  "bio23" DOUBLE,
  "bio24" DOUBLE,
  "bio25" DOUBLE,
  "bio26" DOUBLE,
  "bio27" DOUBLE,
  "bio28" DOUBLE,
  "bio29" DOUBLE,
  "bio30" DOUBLE,
  "bio31" DOUBLE,
  "bio32" DOUBLE,
  "bio33" DOUBLE,
  "bio34" DOUBLE,
  "bio35" DOUBLE,
  "min_mint" DOUBLE,
  "max_maxt" DOUBLE,
  "aet" DOUBLE,
  "pet" DOUBLE,
  "aet_pet_ratio" DOUBLE,
  "not_hot_precip" DOUBLE
);

Itrdb Occs

@kaggle.thedevastator_comprehensive_conifer_sampling_in_north_america.itrdb_occs

1.07 MB
4141 rows
48 columns


CREATE TABLE itrdb_occs (
  "species_code" VARCHAR,
  "site_code" VARCHAR,
  "id" BIGINT,
  "x" DOUBLE,
  "y" DOUBLE,
  "genus" VARCHAR,
  "species" VARCHAR,
  "bio1" DOUBLE,
  "bio2" DOUBLE,
  "bio3" DOUBLE,
  "bio4" DOUBLE,
  "bio5" DOUBLE,
  "bio6" DOUBLE,
  "bio7" DOUBLE,
  "bio8" DOUBLE,
  "bio9" DOUBLE,
  "bio10" DOUBLE,
  "bio11" DOUBLE,
  "bio12" DOUBLE,
  "bio13" DOUBLE,
  "bio14" DOUBLE,
  "bio15" DOUBLE,
  "bio16" DOUBLE,
  "bio17" DOUBLE,
  "bio18" DOUBLE,
  "bio19" DOUBLE,
  "bio20" DOUBLE,
  "bio21" DOUBLE,
  "bio22" DOUBLE,
  "bio23" DOUBLE,
  "bio24" DOUBLE,
  "bio25" DOUBLE,
  "bio26" DOUBLE,
  "bio27" DOUBLE,
  "bio28" DOUBLE,
  "bio29" DOUBLE,
  "bio30" DOUBLE,
  "bio31" DOUBLE,
  "bio32" DOUBLE,
  "bio33" DOUBLE,
  "bio34" DOUBLE,
  "bio35" DOUBLE,
  "min_mint" BIGINT,
  "max_maxt" BIGINT,
  "aet" DOUBLE,
  "pet" BIGINT,
  "aet_pet_ratio" DOUBLE,
  "not_hot_precip" DOUBLE
);