cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15786/dqvip1
title: The rhizosphere metabolome exhibits diurnal oscillations and spatial stratification in soil-grown plants

description: One RDS file containing sample metadata and chemical feature peak area data generated using MetaboAnalyist software, and one xls file with tentative chemical IDs corresponding to hte chemical features in the RDS file. 

The abstract for the paper generated using this data is as follows:

The rhizosphere metabolome includes compounds exuded in a thin layer from plant root, and may affect the assembly and composition of microbial communities. Characterizing the dynamic nature and composition of the rhizosphere metabolome is a key to furthering our understanding of plant health and fitness, due to the pervasive effects of microbial associates on host plant phenotypes. Untargeted metabolomic sampling of the rhizosphere metabolome in a biologically relevant manner is methodologically challenging, as plant growth in hydroponic systems or in soil followed by immersion for sampling leads to osmotic imbalance that may dramatically alter exudation; in-situ sampling in soil has proven largely intractable to date. In this study, we utilized microdialysis probes to sample in-situ areas of high and low root density of soil-grown plants as well as soils containing no plants to determine spatial and temporal variability in the soil metabolome. We found high temporal and spatial variability, with diel cycling of chemical features occurring both in the rhizosphere of soil-grown plants and in soils containing no plants. Chemical features unique to the plant rhizosphere and unique to plant genomes, such as putative glucosinolates, also exhibited temporal diel cycling. This observation suggests that both compounds in the plant rootzone or arising from free-living microbes may exhibit rhythmic patterns. Our study showed that microdialysis probes are a viable method of rhizosphere metabolome sample collection, with both fine scale and fine temporal sensitivity, able to sample within highly biologically relevant soil systems.
DOI: 10.18738/t8/peapf6
title: Varying Geometry Data Set

description: Data set for the Varying Geometry Problem
DOI: 10.15468/dl.9zwrme
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 574 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001051-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r236v
title: Occurrence Download

description: A dataset containing 26565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 26565 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001049-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm7t6h
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001050-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xc3df
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juglans pyriformis"
 ]
}

 The dataset includes 208 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001052-250711103210423/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.29549666
title: urbanr_data: Annual_NLCD_FctImp_2024

description: Preservation of NLCD Fractional Impervious Surface. From https://www.mrlc.gov/data/type/fractional-impervious-surface:The Annual National Land Cover Database (NLCD) impervious surface product provides the fractional or percent surface area of a 30-meter map pixel that is covered with processed materials or structures (pavement, concrete, rooftops, and other constructed materials) that generate surface runoff. The majority of these materials are impervious to water, but many features that are not impervious like lawns and channelized ditches also contribute to surface runoff and water impairment.The amount of impervious surface is generally less than suggested by the footprint of developed land cover because these classes often include permeable but developed vegetation, such as lawn grasses, that may be the majority surface cover. The impervious surface product provides a value for every land cover pixel mapped as developed and determines which intensity category the pixel will be placed into based on thresholds described in the primary land cover class legend in the Science Product User Guide. The value ranges from 0-100% area.This snapshot is from 2024. https://www.mrlc.gov/downloads/sciweb1/shared/mrlc/data-bundles/Annual_NLCD_FctImp_2024_CU_C1V1.zip
DOI: 10.6084/m9.figshare.29549666.v1
title: urbanr_data: Annual_NLCD_FctImp_2024

description: Preservation of NLCD Fractional Impervious Surface. From https://www.mrlc.gov/data/type/fractional-impervious-surface:The Annual National Land Cover Database (NLCD) impervious surface product provides the fractional or percent surface area of a 30-meter map pixel that is covered with processed materials or structures (pavement, concrete, rooftops, and other constructed materials) that generate surface runoff. The majority of these materials are impervious to water, but many features that are not impervious like lawns and channelized ditches also contribute to surface runoff and water impairment.The amount of impervious surface is generally less than suggested by the footprint of developed land cover because these classes often include permeable but developed vegetation, such as lawn grasses, that may be the majority surface cover. The impervious surface product provides a value for every land cover pixel mapped as developed and determines which intensity category the pixel will be placed into based on thresholds described in the primary land cover class legend in the Science Product User Guide. The value ranges from 0-100% area.This snapshot is from 2024. https://www.mrlc.gov/downloads/sciweb1/shared/mrlc/data-bundles/Annual_NLCD_FctImp_2024_CU_C1V1.zip
DOI: 10.15468/dl.h5kk6y
title: Occurrence Download

description: A dataset containing 23660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panolis flammea"
 ]
}

 The dataset includes 23660 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001053-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14ttsyk
title: Hawaiian Islands High-Resolution Topographical and Ecological Raster Datasets for Conservation Planning 2025

description: This data release comprises a collection of high-resolution environmental raster data for the Hawaiian Islands, developed to support conservation planning and ecological research. The collection includes both 30-meter and 10-meter resolution GeoTIFFs with topographical variables (elevation, aspect, slope, hillshade, and geomorphon landform classification), as well as complementary ecological variables (vegetation height, habitat quality, and mean annual temperature and rainfall). All rasters have been processed to share consistent resolution, extent, and projection (WGS84), making them readily integrated into spatial analyses and tool development. The primary source data for the topographical variables was the USGS National Map. The dataset provides standardized environmental layers that can be used to identify suitable microhabitats for species conservation, restoration site selection, and ecological modeling across the Hawaiian archipelago.

This data release is divided into 3 files:
-a 10m resolution GeoTIFF raster stack containing multiple topographical variables for the Hawaiian Islands (elevation, aspect, slope, hillshade, and geomorphon landform classification).
-a 30m resolution GeoTIFF raster stack containing multiple topographical variables for the Hawaiian Islands (elevation, aspect, slope, hillshade, and geomorphon landform classification).
-a 30m resolution GeoTIFF raster stack containing multiple ecological/climatic variables that describe natural habitats across the Hawaiian Islands (vegetation height, habitat quality, mean annual temperature and rainfall).
DOI: 10.5281/zenodo.15856516
title: The data for "Aquaporins destructure water above the pore"

description: Raw data for 3D-AFM on mica and AqpZ

1.1 and 2.1 datasets were directly acquired from the home-built auto-retract 3D-AFM, which are measured on mica and AqpZ, respectively. They includes system setup information as well as 4 groups of raw data for subsequent calculation of dissipation force, which are amplitude(r), phase(phase), height(auxin1), X-scan signal(auxin2).

1.2 and 2.2 datasets were processed results of 1.1 and 2.1 after MATLAB codes, which include 3D matrix of amplitude, phase, energy, force.

1.3 and 2.3 datasets were the force 3D matrix saved as tiff files, which can be displayed using customized IgorPro scripts or ImageJ.

3D-AFM averaging raw data and results

3.1 dataset is the demo input to test the 3D averaging code from the link below. It is directly taken from dataset 2.2. This file is updated in version v1.1.

3.2 dataset is the processed results of the 3D averaging code, which is plotted in Figure 3 in the main text.

MD simulation results

4.1-4.3 datasets are the MD simulation results of water distribution around an AqpZ embedded in lipids. The detailed information of the MD simulation can be found in the main text of our publication.

 

MATLAB codes to process the data, IgorPro scripts to display the data is uploaded to Github with intructions: https://github.com/mrz104001/3D-AFM-codes.

A link to a paper analyzing the data and describing the findings will be provided after acceptance.
DOI: 10.5281/zenodo.15866205
title: The data for "Aquaporins destructure water above the pore"

description: Raw data for 3D-AFM on mica and AqpZ

1.1 and 2.1 datasets were directly acquired from the home-built auto-retract 3D-AFM, which are measured on mica and AqpZ, respectively. They includes system setup information as well as 4 groups of raw data for subsequent calculation of dissipation force, which are amplitude(r), phase(phase), height(auxin1), X-scan signal(auxin2).

1.2 and 2.2 datasets were processed results of 1.1 and 2.1 after MATLAB codes, which include 3D matrix of amplitude, phase, energy, force.

1.3 and 2.3 datasets were the force 3D matrix saved as tiff files, which can be displayed using customized IgorPro scripts or ImageJ.

3D-AFM averaging raw data and results

3.1 dataset is the demo input to test the 3D averaging code from the link below. It is directly taken from dataset 2.2. This file is updated in version v1.1.

3.2 dataset is the processed results of the 3D averaging code, which is plotted in Figure 3 in the main text.

MD simulation results

4.1-4.3 datasets are the MD simulation results of water distribution around an AqpZ embedded in lipids. The detailed information of the MD simulation can be found in the main text of our publication.

 

MATLAB codes to process the data, IgorPro scripts to display the data is uploaded to Github with intructions: https://github.com/mrz104001/3D-AFM-codes.

A link to a paper analyzing the data and describing the findings will be provided after acceptance.
DOI: 10.15468/dl.2tm44y
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stictocephala bisonia",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001054-250711103210423/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/12443600
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.jej5d3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001055-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/52vcve
title: Aortic Valve Data Set

description: This is the second data set for the Aortic Valve Problem
DOI: 10.15468/dl.7uc5gf
title: Occurrence Download

description: A dataset containing 31931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 31931 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001056-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78ebgw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Emberiza pusilla)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001057-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x9rwa
title: Occurrence Download

description: A dataset containing 9020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.40_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyrannus tyrannus",
 "Year 2015-2025"
 ]
}

 The dataset includes 9020 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001058-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtcjhs
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Guatemala)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Licaria cervantesii"
 ]
}

 The dataset includes 97 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001059-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm59gv
title: Occurrence Download

description: A dataset containing 1676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cameraria ohridella",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1676 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001061-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe6a7f
title: Occurrence Download

description: A dataset containing 1445 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Buteo lagopus)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 1445 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001062-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yg873
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Buteo lagopus)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001064-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqsd32
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelicorophium curvispinum",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001065-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.