cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14165915
title: Greg Kolodziejzyk's 13-year associative remote viewing experiment results

description: The research that created this data is described in:



Kolodziejzyk, G. (2012). Greg Kolodziejzyk's 13-year associative remote viewing experiment results. The Journal of Parapsychology, 76(2), 349.


Five files are included:



GregsARVdata2.txt - This is the raw data provided by Greg Kolodziejzyk

Code book_0.txt - Code book (raw data)

GregsARVdata2-dates-fixed.csv - Cleaned data (date formats standardised)

Code book (cleaned data).pdf - Code book (cleaned data)

Cleaning procedure_0.zip - Procedure for transforming from raw data to cleaned data.
DOI: 10.5281/zenodo.14165916
title: Greg Kolodziejzyk's 13-year associative remote viewing experiment results

description: The research that created this data is described in:



Kolodziejzyk, G. (2012). Greg Kolodziejzyk's 13-year associative remote viewing experiment results. The Journal of Parapsychology, 76(2), 349.


Five files are included:



GregsARVdata2.txt - This is the raw data provided by Greg Kolodziejzyk

Code book_0.txt - Code book (raw data)

GregsARVdata2-dates-fixed.csv - Cleaned data (date formats standardised)

Code book (cleaned data).pdf - Code book (cleaned data)

Cleaning procedure_0.zip - Procedure for transforming from raw data to cleaned data.
DOI: 10.5281/zenodo.14165837
title: Greg Kolodziejzyk's 13-year associative remote viewing experiment results (session-level data)

description: This dataset is a transformation of Greg Kolodziejzyk's remote viewing data (see Related datasets below). Greg used a "rapid-fire" technique whereby several short free-response remote viewing trials were completed in a single session. The trial-level data was transformed by Adrian Ryan into session-level Z-scores by exact binomial, in order that the data could be combined with those from other experiments, for the analyses reported here:



Ryan, A., & Spottiswoode, J. (2015). Variation of ESP by Season, Local Sidereal Time, and Geomagnetic Activity. Extrasensory Perception, 377-394.


Three files are included:



Data file

Code book

Transform Procedure: The R script used to transform the original trial-level data into session-level data.
DOI: 10.5281/zenodo.14165838
title: Greg Kolodziejzyk's 13-year associative remote viewing experiment results (session-level data)

description: This dataset is a transformation of Greg Kolodziejzyk's remote viewing data (see Related datasets below). Greg used a "rapid-fire" technique whereby several short free-response remote viewing trials were completed in a single session. The trial-level data was transformed by Adrian Ryan into session-level Z-scores by exact binomial, in order that the data could be combined with those from other experiments, for the analyses reported here:



Ryan, A., & Spottiswoode, J. (2015). Variation of ESP by Season, Local Sidereal Time, and Geomagnetic Activity. Extrasensory Perception, 377-394.


Three files are included:



Data file

Code book

Transform Procedure: The R script used to transform the original trial-level data into session-level data.
DOI: 10.15468/dl.z95tzz
title: Occurrence Download

description: A dataset containing 1604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.23.37_2",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1604 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015386-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdyafb
title: Occurrence Download

description: A dataset containing 16862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasypus novemcinctus Linnaeus, 1758"
 ]
}

 The dataset includes 16862 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015388-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxfnbq
title: Occurrence Download

description: A dataset containing 113429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oncorhynchus nerka (Walbaum, 1792))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 113429 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015323-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8bvkk
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Selaginella pilifera A.Braun"
 ]
}

 The dataset includes 316 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015392-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mkxqa
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.14_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cicadellidae"
 ]
}

 The dataset includes 1585 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015393-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs6euk
title: Occurrence Download

description: A dataset containing 7976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Camellia japonica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7976 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015394-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aevn6f
title: Occurrence Download

description: A dataset containing 1018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Portugal",
 "DatasetKey is one of (iNaturalist Research-grade Observations, EOD – eBird Observation Dataset, Forestry Inventory 2005, Forestry Inventory 1995, Forestry Inventory 2015, Forestry Inventory 2010, Pl@ntNet automatically identified occurrences, Biodiversity4all Research-Grade Observations)",
 "Geometry POLYGON((-8.64484 41.01591,-8.64589 41.01541,-8.64797 41.00972,-8.64524 41.00829,-8.64687 41.00012,-8.63449 40.9827,-8.6151 40.98876,-8.6134 41.00737,-8.62289 41.02601,-8.644 41.02234,-8.64556 41.01698,-8.64484 41.01591))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, NT, VU, LC, DD, NE)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, e2e717bf-551a-4917-bdc9-4fa0f342c530, 53f347a7-99ce-4528-a085-5c76eb1301a0, da86174a-a605-43a4-a5e8-53d484152cd3, e3aa237e-53c8-4c46-93ef-77a18bb9c80e)"
 ]
}

 The dataset includes 1018 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015395-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs6du2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erithalis orbiculata (Proctor) A.R.Franck, P.A.Lewis & Oberli"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015396-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p73wv
title: Occurrence Download

description: A dataset containing 7675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poecilia reticulata Peters, 1859)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7675 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015398-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nuc5d
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Helianthus anomalus S.F.Blake)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 137 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015399-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8387732
title: Great Lakes Coordinated Monthly Precipitation Data

description: This dataset consists of the coordinated amount of monthly precipitation that has fallen over the basin areas of the different Great Lakes.  The data are presented in both mm and inches.  Most of the processing is done by the US Army Corps of Engineers Detroit Office using models developed by that agency and the Great Lakes Environmental Research Lab (GLERL) of NOAA.  The data is then verified by Environment and Climate Change Canada.


Different methods used to calculate monthly precipitation for certain periods in record period. For more information on data sources reference this paper: *https://www.glerl.noaa.gov/pubs/fulltext/2015/20150006.pdf


An advancement made in most recent period, beginning in 1948. Data from 1948 to present calculated through AHPS model with GLERL DTP method. GLERL DTP method uses a group of meteorological stations surrounding the Great Lakes basin to calculate precipitation. In a recent study, it was found that some of the stations in the group were reporting erroneous data in recent years. Therefore, station list updated.


Also, AHPS model replaced with GLSHFS model. GLSHFS uses same method for calculating precipitation. With the model change to GLSHFS and the method's (GLERL DTP) improved station list, precipitation data updated back to 1948. 


Period  Current Method**  Previous Method** 


1900-1930  USACE-AWD  USACE-AWD


1931-1947  GLERL-MTP  GLERL-MTP


1948-2017  GLERL-DTP (GLSHFS)  GLERL-DTP (AHPS)


2018-YYYY  GLERL-DTP (GLSHFS) 


*Citation:


Hunter, T. S., Clites, A. H., Campbell, K. B., & Gronewold, A. D. (2015). Development and application of a North American Great Lakes hydrometeorological database—Part I: Precipitation, evaporation, runoff, and air temperature. Journal of Great Lakes Research, 41(1), 65-77.


**Acronyms


AHPS: Advanced Hydrologic Prediction System


AWD: Areally Weighted District


DTP: Daily Thiessen Program


GLERL: Great Lakes Environmental Research Laboratory


GLSHFS: Great Lakes Seasonal Hydrological Forecasting System


MTP: Monthly Thiessen Polygon


USACE: United States Army Corps of Engineers
DOI: 10.5281/zenodo.14165917
title: Great Lakes Coordinated Monthly Precipitation Data

description: Coordinated Monthly Precipitation Data Information (1900-2022)

This dataset consists of the coordinated amount of monthly precipitation that has fallen over the basin areas of the different Great Lakes.  The data are presented in both mm and inches.  Most of the processing is done by the US Army Corps of Engineers Detroit Office using models developed by that agency and the Great Lakes Environmental Research Lab (GLERL) of NOAA.  The data is then verified by Environment and Climate Change Canada.

Different methods used to calculate monthly precipitation for certain periods in record period. For more information on data sources reference this paper: *https://www.glerl.noaa.gov/pubs/fulltext/2015/20150006.pdf

An advancement made in most recent period, beginning in 1948. Data from 1948 to present calculated through AHPS model with GLERL DTP method. GLERL DTP method uses a group of meteorological stations surrounding the Great Lakes basin to calculate precipitation. In a recent study, it was found that some of the stations in the group were reporting erroneous data in recent years. Therefore, station list updated.

Also, AHPS model replaced with GLSHFS model. GLSHFS uses same method for calculating precipitation. With the model change to GLSHFS and the method's (GLERL DTP) improved station list, precipitation data updated back to 1948. 

Period  Current Method**  Previous Method** 

1900-1930  USACE-AWD  USACE-AWD

1931-1947  GLERL-MTP  GLERL-MTP

1948-2017  GLERL-DTP (GLSHFS)  GLERL-DTP (AHPS)

2018-YYYY  GLERL-DTP (GLSHFS) 

*Citation:

Hunter, T. S., Clites, A. H., Campbell, K. B., & Gronewold, A. D. (2015). Development and application of a North American Great Lakes hydrometeorological database—Part I: Precipitation, evaporation, runoff, and air temperature. Journal of Great Lakes Research, 41(1), 65-77.

**Acronyms

AHPS: Advanced Hydrologic Prediction System

AWD: Areally Weighted District

DTP: Daily Thiessen Program

GLERL: Great Lakes Environmental Research Laboratory

GLSHFS: Great Lakes Seasonal Hydrological Forecasting System

MTP: Monthly Thiessen Polygon

USACE: United States Army Corps of Engineers
DOI: 10.5281/zenodo.10479324
title: Great Lakes Coordinated Monthly Precipitation Data

description: Coordinated Monthly Precipitation Data Information (1900-2021)

This dataset consists of the coordinated amount of monthly precipitation that has fallen over the basin areas of the different Great Lakes.  The data are presented in both mm and inches.  Most of the processing is done by the US Army Corps of Engineers Detroit Office using models developed by that agency and the Great Lakes Environmental Research Lab (GLERL) of NOAA.  The data is then verified by Environment and Climate Change Canada.

Different methods used to calculate monthly precipitation for certain periods in record period. For more information on data sources reference this paper: *https://www.glerl.noaa.gov/pubs/fulltext/2015/20150006.pdf

An advancement made in most recent period, beginning in 1948. Data from 1948 to present calculated through AHPS model with GLERL DTP method. GLERL DTP method uses a group of meteorological stations surrounding the Great Lakes basin to calculate precipitation. In a recent study, it was found that some of the stations in the group were reporting erroneous data in recent years. Therefore, station list updated.

Also, AHPS model replaced with GLSHFS model. GLSHFS uses same method for calculating precipitation. With the model change to GLSHFS and the method's (GLERL DTP) improved station list, precipitation data updated back to 1948. 

Period  Current Method**  Previous Method** 

1900-1930  USACE-AWD  USACE-AWD

1931-1947  GLERL-MTP  GLERL-MTP

1948-2017  GLERL-DTP (GLSHFS)  GLERL-DTP (AHPS)

2018-YYYY  GLERL-DTP (GLSHFS) 

*Citation:

Hunter, T. S., Clites, A. H., Campbell, K. B., & Gronewold, A. D. (2015). Development and application of a North American Great Lakes hydrometeorological database—Part I: Precipitation, evaporation, runoff, and air temperature. Journal of Great Lakes Research, 41(1), 65-77.

**Acronyms

AHPS: Advanced Hydrologic Prediction System

AWD: Areally Weighted District

DTP: Daily Thiessen Program

GLERL: Great Lakes Environmental Research Laboratory

GLSHFS: Great Lakes Seasonal Hydrological Forecasting System

MTP: Monthly Thiessen Polygon

USACE: United States Army Corps of Engineers
DOI: 10.15468/dl.c7a8sz
title: Occurrence Download

description: A dataset containing 23731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chamaecrista fasciculata (Michx.) Greene)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23731 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015401-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qwaf5
title: Occurrence Download

description: A dataset containing 142482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.14_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 142482 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015330-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu37sd
title: Occurrence Download

description: A dataset containing 15259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morinda citrifolia L."
 ]
}

 The dataset includes 15259 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020934-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f57na
title: Occurrence Download

description: A dataset containing 17498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is April",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 17498 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020935-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqnebe
title: Occurrence Download

description: A dataset containing 17498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is April",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 17498 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020936-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd39b7
title: Occurrence Download

description: A dataset containing 18079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is May",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 18079 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020937-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xg4vn8
title: Occurrence Download

description: A dataset containing 12132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is June",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 12132 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020938-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4rjwv
title: Occurrence Download

description: A dataset containing 12132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is June",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 12132 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020939-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub2qsz
title: Occurrence Download

description: A dataset containing 18079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is May",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 18079 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020940-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvj5n7
title: Occurrence Download

description: A dataset containing 1273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.9.3_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 1273 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020941-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnyyjg
title: Occurrence Download

description: A dataset containing 10256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is July",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 10256 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020942-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v25qyu
title: Occurrence Download

description: A dataset containing 10256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is July",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 10256 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020943-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10698156
title: IFA LKW W50 4x4 LA/A/C Expedition
DOI: 10.5281/zenodo.13316767
title: National Checklists 2019: Norway Species List

description: Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See https://github.com/diatomsRcool/checklists for details.
A list of species from Norway collected using effechecka and geonames polygons
DOI: 10.15468/dl.krzp8d
title: Occurrence Download

description: A dataset containing 9060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Russian Federation",
 "Month is August",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758"
 ]
}

 The dataset includes 9060 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020944-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.