cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jsfgz3
title: Occurrence Download

description: A dataset containing 10139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spatula puna (Tschudi, 1844)"
 ]
}

 The dataset includes 10139 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017011-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75awuq
title: Occurrence Download

description: A dataset containing 2036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Thraupis sayaca (Linnaeus, 1766)"
 ]
}

 The dataset includes 2036 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017012-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25hvdx
title: Occurrence Download

description: A dataset containing 11455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linepithema humile (Mayr, 1868)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 11455 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017014-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11623641
title: Storage and Transit Time Data and Code

description: Author: Andrew J. FeltonDate: 5/5/2024

This R project contains the primary code and data (following pre-processing in python) used for data production, manipulation, visualization, and analysis and figure production for the study entitled:

"Global estimates of the storage and transit time of water through vegetation"

Please note that 'turnover' and 'transit' are used interchangeably in this project.

Data information:

The data folder contains key data sets used for analysis. In particular:

"data/turnover_from_python/updated/annual/multi_year_average/average_annual_turnover.nc" contains a global array summarizing five year (2016-2020) averages of annual transit, storage, canopy transpiration, and number of months of data. This is the core dataset for the analysis; however, each folder has much more data, including a dataset for each year of the analysis. Data are also available is separate .csv files for each land cover type. Oterh data can be found for the minimum, monthly, and seasonal transit time found in their respective folders. These data were produced using the python code found in the "supporting_code" folder given the ease of working with .nc and EASE grid in the xarray python module. R was used  primarily for data visualization purposes. The remaining files in the "data" and "data/supporting_data"" folder primarily contain ground-based estimates of storage and transit found in public databases or through a literature search, but have been extensively processed and filtered here. 

#Code information

Python scripts can be found in the "supporting_code" folder.

Each R script in this project has a particular function:

01_start.R: This script loads the R packages used in the analysis, sets thedirectory, and imports custom functions for the project. You can also load in the main transit time (turnover) datasets here using the `source()` function.

02_functions.R: This script contains the custom function for this analysis, primarily to work with importing the seasonal transit data. Load this using the  `source()` function in the 01_start.R script. 

03_generate_data.R: This script is not necessary to run and is primarilyfor documentation. The main role of this code was to import and wranglethe data needed to calculate ground-based estimates of aboveground water storage.

04_annual_turnover_storage_import.R: This script imports the annual turnover andstorage data for each landcover type. You load in these data from the 01_start.R scriptusing the `source()` function.

05_minimum_turnover_storage_import.R: This script imports the minimum turnover andstorage data for each landcover type. Minimum is defined as the lowest monthlyestimate.You load in these data from the 01_start.R scriptusing the `source()` function.

06_figures_tables.R: This is the main workhouse for figure/table production and supporting analyses. This script generates the key figures and summary statistics used in the study that then get saved in the  manuscript_figures folder. Note that allmaps were produced using Python code found in the "supporting_code"" folder.
DOI: 10.5281/zenodo.13760361
title: Storage and Transit Time Data and Code

description: Author: Andrew J. FeltonDate: 5/5/2024

This R project contains the primary code and data (following pre-processing in python) used for data production, manipulation, visualization, and analysis and figure production for the study entitled:

"Global estimates of the storage and transit time of water through vegetation"

Please note that 'turnover' and 'transit' are used interchangeably in this project.

Data information:

The data folder contains key data sets used for analysis. In particular:

"data/turnover_from_python/updated/annual/multi_year_average/average_annual_turnover.nc" contains a global array summarizing five year (2016-2020) averages of annual transit, storage, canopy transpiration, and number of months of data. This is the core dataset for the analysis; however, each folder has much more data, including a dataset for each year of the analysis. Data are also available is separate .csv files for each land cover type. Oterh data can be found for the minimum, monthly, and seasonal transit time found in their respective folders. These data were produced using the python code found in the "supporting_code" folder given the ease of working with .nc and EASE grid in the xarray python module. R was used  primarily for data visualization purposes. The remaining files in the "data" and "data/supporting_data"" folder primarily contain ground-based estimates of storage and transit found in public databases or through a literature search, but have been extensively processed and filtered here. 

#Code information

Python scripts can be found in the "supporting_code" folder.

Each R script in this project has a particular function:

01_start.R: This script loads the R packages used in the analysis, sets thedirectory, and imports custom functions for the project. You can also load in the main transit time (turnover) datasets here using the `source()` function.

02_functions.R: This script contains the custom function for this analysis, primarily to work with importing the seasonal transit data. Load this using the  `source()` function in the 01_start.R script. 

03_generate_data.R: This script is not necessary to run and is primarilyfor documentation. The main role of this code was to import and wranglethe data needed to calculate ground-based estimates of aboveground water storage.

04_annual_turnover_storage_import.R: This script imports the annual turnover andstorage data for each landcover type. You load in these data from the 01_start.R scriptusing the `source()` function.

05_minimum_turnover_storage_import.R: This script imports the minimum turnover andstorage data for each landcover type. Minimum is defined as the lowest monthlyestimate.You load in these data from the 01_start.R scriptusing the `source()` function.

06_figures_tables.R: This is the main workhouse for figure/table production and supporting analyses. This script generates the key figures and summary statistics used in the study that then get saved in the  manuscript_figures folder. Note that allmaps were produced using Python code found in the "supporting_code"" folder.
DOI: 10.15468/dl.54ftwb
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia coahuilensis Fernald"
 ]
}

 The dataset includes 118 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017015-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6drdgg
title: Occurrence Download

description: A dataset containing 39096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrocephalus rubinus (Boddaert, 1783)"
 ]
}

 The dataset includes 39096 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017016-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14171590
title: Deep learning predictions of Atlantic Niños index
DOI: 10.5281/zenodo.14171591
title: Deep learning predictions of Atlantic Niños index
DOI: 10.15468/dl.9fkvca
title: Occurrence Download

description: A dataset containing 3878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-100.25962 -20.89949,-50.74038 -20.89949,-50.74038 -1.10051,-100.25962 -1.10051,-100.25962 -20.89949))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Colaptes atricollis (Malherbe, 1850)"
 ]
}

 The dataset includes 3878 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017017-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nd4t3
title: Occurrence Download

description: A dataset containing 26885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spinus magellanicus (Vieillot, 1805)"
 ]
}

 The dataset includes 26885 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017019-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7suzh8
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.54187 -57.60439,-66.52941 -57.60439,-66.52941 -16.01885,-77.54187 -16.01885,-77.54187 -57.60439))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Loxosceles laeta (Nicolet, 1849)",
 "Year 2003-2024"
 ]
}

 The dataset includes 200 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017021-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6085/aa/pisco_kelpforest.1.9
title: PISCO Kelp Forest Community Surveys

description: In 1998, the Partnership for Interdisciplinary Studies of Coastal
 Oceans (PISCO) designed and initiated a large scale, long-term
 monitoring study of kelp forest ecosystems along portions of the
 southern, central and northern coast of California and southern
 Oregon, USA. The program is administered out of the University of
 California campuses in Santa Cruz and Santa Barbara and funded
 primarily by the David and Lucile Packard Foundation. The purpose of
 the study has been to characterize the regional and temporal patterns
 of kelp forest ecosystem structure and evaluate the relative
 contributions of biological and environmental variables in explaining
 observed spatial and temporal patterns. For this purpose, the
 ecological community and physical structure of kelp forest ecosystems
 have been surveyed using trained SCUBA divers. The biological
 structure includes the more conspicuous fishes, invertebrates, and
 macroalgae. The physical structure includes geomorphological
 attributes (substratum type and vertical relief). Among other
 applications, these surveys have informed the design and evaluation of
 the state-wide network of marine protected areas (MPAs) established by
 California’s Marine Life Protection Act. Over time, the role of the
 monitoring program for evaluating the ecological responses to the
 establishment of the MPAs greatly influenced both the spatial and
 temporal design of the monitoring program.
DOI: 10.5281/zenodo.14171619
title: ADF&G Hoonah, Sitka, Kake, and surrounding areas stream survey data

description: Survey data collected by ADF&G Habitat Section staff throughout 2021-2023 in Southeast Alaska. Data focused on identification of anadromous fish habitat and barriers to fish migration.
DOI: 10.5281/zenodo.14171620
title: ADF&G Hoonah, Sitka, Kake, and surrounding areas stream survey data

description: Survey data collected by ADF&G Habitat Section staff throughout 2021-2023 in Southeast Alaska. Data focused on identification of anadromous fish habitat and barriers to fish migration.
DOI: 10.15139/s3/yefbbb
title: UESI website source data

description: This is the test data for UESI website
DOI: 10.15468/dl.bru7xn
title: Occurrence Download

description: A dataset containing 1370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos horribilis Ord, 1815"
 ]
}

 The dataset includes 1370 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017022-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36uagw
title: Occurrence Download

description: A dataset listing the 4362 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dutch Vegetation Database"
 ]
}

 The dataset's 4362 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017008-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu2wg3
title: Occurrence Download

description: A dataset containing 6168 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invasive species observations"
 ]
}

 The dataset includes 6168 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017023-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ec9fm
title: Occurrence Download

description: A dataset containing 64757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Chile, Colombia, Falkland Islands (Malvinas), Suriname, Paraguay, Peru, Uruguay, Venezuela (Bolivarian Republic of))",
 "DatasetKey is one of (iNaturalist Research-grade Observations, The First Breeding Bird Atlas of Vermont (1976-1981), EOD – eBird Observation Dataset, Xeno-canto - Bird sounds from around the world, Birda - Global Observation Dataset)",
 "GadmGid is one of (ARG, BOL, BRA, CHL, COL, ECU, FLK, SGS, SUR, GUY, GUF, PRY, PER, URY, VEN)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Continent derived from coordinates)",
 "IucnRedListCategory is LC",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sturnus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 64757 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017024-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhxzuh
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus arctos horribilis Ord, 1815"
 ]
}

 The dataset's 1 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017018-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqrp5h
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus palaichthus Kluge, 1969"
 ]
}

 The dataset includes 511 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017027-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwnpks
title: Occurrence Download

description: A dataset containing 15918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Anas bahamensis Linnaeus, 1758"
 ]
}

 The dataset includes 15918 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017029-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st5vwq
title: Occurrence Download

description: A dataset containing 1042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Puno, AYACUCHO?, Moquega, APURIMAC.)",
 "TaxonKey is Geositta cunicularia (Vieillot, 1816)"
 ]
}

 The dataset includes 1042 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017031-241107131044228/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/9918798
title: Data Breaches
DOI: 10.15468/dl.m65qmx
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus palaichthus Kluge, 1969"
 ]
}

 The dataset includes 511 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017033-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpbfsc
title: Occurrence Download

description: A dataset listing the 766 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdLife Australia, Birdata"
 ]
}

 The dataset's 766 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017026-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us2hjm
title: Occurrence Download

description: A dataset containing 11049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Tachuris rubrigastra (Vieillot, 1817)"
 ]
}

 The dataset includes 11049 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017034-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.upnmsd
title: Occurrence Download

description: A dataset containing 3167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus baileyi Nelson & Goldman, 1929"
 ]
}

 The dataset includes 3167 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017035-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgpdn4
title: Occurrence Download

description: A dataset containing 8064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Chloroceryle americana (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 8064 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017036-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwwyqv
title: Occurrence Download

description: A dataset listing the 2526 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
 },
 {
 "and" : [
 "Geometry POLYGON((-124.40038 42.17578,-125.80663 41.91211,-124.31249 36.19922,-117.98437 32.06836,-114.55663 31.98047,-113.15038 34.35352,-119.30273 39.1875,-119.65429 42.61524,-124.40038 42.17578))",
 "BasisOfRecord is one of (Specimen)",
 "Year 1990-2024",
 "CollectionKey is one of (516319c9-5638-4cdc-ab80-2d00b6a4635a)"
 ]
 }
 ]
}

 The dataset's 2526 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017028-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mah959
title: Occurrence Download

description: A dataset containing 24101128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is one of (Aves, Testudines, Squamata, Crocodylia, Amphibia, Mammalia)",
 "BasisOfRecord is one of (Specimen, Material sample)"
 ]
}

 The dataset includes 24101128 records from 1799 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017030-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28379054
title: Supplementary Materials for<b> "</b><b>KCMF1-mediated PB1 ubiquitination of influenza A virus at K653 regulates viral replication"</b>

description: Supplementary Materials for<br><b>KCMF1-mediated PB1 ubiquitination of influenza A virus at K653 regulates viral replication</b>
DOI: 10.15468/dl.yaeqfx
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2240 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022000-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839669
title: unimpeded: nrunlcdm planck_2018_CamSpec

description: cosmological model:nrunlcdm, dataset:planck_2018_CamSpec
DOI: 10.5281/zenodo.14839670
title: unimpeded: nrunlcdm planck_2018_CamSpec

description: cosmological model:nrunlcdm, dataset:planck_2018_CamSpec
DOI: 10.15468/dl.enk4dw
title: Occurrence Download

description: A dataset containing 3901 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetramorium bicarinatum (Nylander, 1846)"
 ]
}

 The dataset includes 3901 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022002-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.