cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5tjtk7
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Singapore",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Alcedo meninting",
 "Year 2007-2022"
 ]
}

 The dataset includes 947 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060839-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tx748
title: Occurrence Download

description: A dataset containing 32322 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium onopteris"
 ]
}

 The dataset includes 32322 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060840-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v42c97
title: Occurrence Download

description: A dataset containing 3271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium cuneifolium"
 ]
}

 The dataset includes 3271 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060843-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7675744
title: The Index of Relative Rurality (IRR): US County Data for 2020

description: The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality.

 

The original version of the IRR was proposed by Waldorf (2006, http://ageconsearch.umn.edu/handle/21383) as an alternative to the traditional discrete threshold-based classifications, such as the Rural-urban Continuum Code and the Urban Influence Code. Waldorf and Kim (2015) re-designed measuring the index and applied it to publish improved county-level IRR for 2000 and 2010. IRR 2020 was measured by the same method suggested in 2015 except for the network data (North American Roads*) due to the data availability. (* Bureau of Transportation Statistics (BTS), https://geodata.bts.gov/datasets/usdot::north-american-roads/about). 

 

The IRR has three significant advantages over typology-based rurality measures. (1) It is spatially flexible in that it can be designed for any spatial units; (2) it is a relative measure and thus embeds rurality in the broader system of settlements; (3) it is analytically more easily handled than threshold-based typologies.  

 

The IRR ranges between 0 (low level of rurality, i.e., urban) and 1 (most rural). Four steps are involved in its design:

1. Identifying the dimensions of rurality: population size, density, remoteness, and built-up area.2. Selecting measurable variables to adequately represent each dimension:     a. Size: logarithm of population size     b. Density:  logarithm of population density.     c. Remoteness: network distance.     d. Built-up area: urban area (as defined by the US Census Bureau) as a percentage of total land area.3. Re-scaling the variables onto bounded scales that range from 0 to 1.4. Selecting a link function: unweighted average of the four re-scaled variables.

 

IRR 2020 - County-level Map

 

Please cite this work:

DOI: 10.5281/zenodo.7675745

 

For more information:Waldorf, Brigitte, and Ayoung Kim. 2015. "Defining and Measuring Rurality in the US: From Typologies to Continuous Indices." Commissioned paper prepared for the National Academies of Sciences Workshop on Rationalizing Rural Classifications, April 2015, Washington, DC. http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf 

Acknowledgment:

** This project was supported by the Agricultural and Food Research Initiative Competitive Program of the USDA National Institute of Food and Agriculture (NIFA), grant number 2020-67019-30772.

 

Contact:

Ayoung Kim | a.kim@msstate.edu | Dept. of Agricultural Economics | Mississippi State University

Brigitte Waldorf | bwaldorf@purdue.edu
DOI: 10.5281/zenodo.7675745
title: The Index of Relative Rurality (IRR): US County Data for 2020

description: The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality.

 

The original version of the IRR was proposed by Waldorf (2006, http://ageconsearch.umn.edu/handle/21383) as an alternative to the traditional discrete threshold-based classifications, such as the Rural-urban Continuum Code and the Urban Influence Code. Waldorf and Kim (2015) re-designed measuring the index and applied it to publish improved county-level IRR for 2000 and 2010. IRR 2020 was measured by the same method suggested in 2015 except for the network data (North American Roads*) due to the data availability. (* Bureau of Transportation Statistics (BTS), https://geodata.bts.gov/datasets/usdot::north-american-roads/about). 

 

The IRR has three significant advantages over typology-based rurality measures. (1) It is spatially flexible in that it can be designed for any spatial units; (2) it is a relative measure and thus embeds rurality in the broader system of settlements; (3) it is analytically more easily handled than threshold-based typologies.  

 

The IRR ranges between 0 (low level of rurality, i.e., urban) and 1 (most rural). Four steps are involved in its design:

1. Identifying the dimensions of rurality: population size, density, remoteness, and built-up area.2. Selecting measurable variables to adequately represent each dimension:     a. Size: logarithm of population size     b. Density:  logarithm of population density.     c. Remoteness: network distance.     d. Built-up area: urban area (as defined by the US Census Bureau) as a percentage of total land area.3. Re-scaling the variables onto bounded scales that range from 0 to 1.4. Selecting a link function: unweighted average of the four re-scaled variables.

 

IRR 2020 - County-level Map

 

Please cite this work:

DOI: 10.5281/zenodo.7675745

 

For more information:Waldorf, Brigitte, and Ayoung Kim. 2015. "Defining and Measuring Rurality in the US: From Typologies to Continuous Indices." Commissioned paper prepared for the National Academies of Sciences Workshop on Rationalizing Rural Classifications, April 2015, Washington, DC. http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf 

Acknowledgment:

** This project was supported by the Agricultural and Food Research Initiative Competitive Program of the USDA National Institute of Food and Agriculture (NIFA), grant number 2020-67019-30772.

 

Contact:

Ayoung Kim | a.kim@msstate.edu | Dept. of Agricultural Economics | Mississippi State University

Brigitte Waldorf | bwaldorf@purdue.edu
DOI: 10.5281/zenodo.17115057
title: The Role of Central Banks of Nigeria in Fostering Sustainable Energy Investments.
DOI: 10.5281/zenodo.17115058
title: The Role of Central Banks of Nigeria in Fostering Sustainable Energy Investments.
DOI: 10.15468/dl.ct4xc2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Continent derived from country, Continent derived from coordinates)",
 "TaxonKey is Leontopithecus chrysopygus"
 ]
}

 The dataset's 1 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060831-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxgypm
title: Occurrence Download

description: A dataset containing 42613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex maritimus"
 ]
}

 The dataset includes 42613 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060845-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2w3ge
title: Occurrence Download

description: A dataset containing 36723 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium platyneuron"
 ]
}

 The dataset includes 36723 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060847-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16883331
title: Datasets of Real-Time Data Readout for DNA Storage

description: Supplementary dataset description for “Approaching Single-Molecule Assembly-Free Readout from Medium-Length Encoded DNA”

Source data for all figures are provided with this paper. Raw sequencing data from nanopore platforms are available in the NCBI Sequence Read Archive under accession number PRJNA1235219. 

Here, we publicly provide the original data files, encoded codewords, encoded sequences, plasmid sequences, and pseudo-noise sequences. We also provide the raw electrical signals (in POD5 format) collected from the nanopore sequencer.

 

Table 1. Description of the source data








Original files



Size



Code rate



Encoded codewords



Watermark sequences



Encoded sequences





File 1.txt



945 bytes



1/3



22,680 bits



22,680 bits



22,680 bp





File 2.txt



945 bytes



1/3



22,680 bits



22,680 bits



22,680 bp





File 3.txt



4,032 bytes



1/2



64512 bits



64512 bits



64,512 bp





File 4.txt



3,716 bytes



0.93



32,000 bits



32,000 bits



32,000 bp
DOI: 10.5281/zenodo.16883332
title: Datasets of Real-Time Data Readout for DNA Storage

description: Supplementary dataset description for “Approaching Single-Molecule Assembly-Free Readout from Medium-Length Encoded DNA”

Source data for all figures are provided with this paper. Raw sequencing data from nanopore platforms are available in the NCBI Sequence Read Archive under accession number PRJNA1235219. 

Here, we publicly provide the original data files, encoded codewords, encoded sequences, plasmid sequences, and pseudo-noise sequences. We also provide the raw electrical signals (in POD5 format) collected from the nanopore sequencer.

 

Table 1. Description of the source data








Original files



Size



Code rate



Encoded codewords



Watermark sequences



Encoded sequences





File 1.txt



945 bytes



1/3



22,680 bits



22,680 bits



22,680 bp





File 2.txt



945 bytes



1/3



22,680 bits



22,680 bits



22,680 bp





File 3.txt



4,032 bytes



1/2



64512 bits



64512 bits



64,512 bp





File 4.txt



3,716 bytes



0.93



32,000 bits



32,000 bits



32,000 bp
DOI: 10.5281/zenodo.17115067
title: Code for Analysis of Chinese History Collection in the Library of Congress Catalog

description: This folder contains the code and dataset for our analysis on the book collection on Chinese history from the Library of Congress. The paper has been submitted to iConference 2026.
DOI: 10.5281/zenodo.17110093
title: Code for Analysis of Chinese History Collection in the Library of Congress Catalog

description: This folder contains the code and dataset for our analysis on the book collection on Chinese history from the Library of Congress. The paper has been submitted to iConference 2026.
DOI: 10.15468/dl.zqj883
title: Occurrence Download

description: A dataset containing 1237 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium bradleyi"
 ]
}

 The dataset includes 1237 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060848-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpeq3u
title: Occurrence Download

description: A dataset containing 18541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex palustris"
 ]
}

 The dataset includes 18541 records from 321 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060849-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqueq3
title: Occurrence Download

description: A dataset containing 971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubo bubo (Linnaeus, 1758)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Country is one of (Germany, France, Spain, Portugal, Denmark, Austria, Italy, Switzerland, Greece, Poland, Hungary, Slovenia, Sweden, Norway, Slovakia, Montenegro, Croatia, North Macedonia, Serbia, Iceland, Ireland, United Kingdom of Great Britain and Northern Ireland, Albania, Bosnia and Herzegovina, Bulgaria)"
 ]
}

 The dataset includes 971 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154252-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkga8m
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium georgei (W.E.Evans) Sealy"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048406-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thqex5
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mithraculus forceps A.Milne-Edwards, 1875",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 1980",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 74 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6erbcc
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylobium elatum Rolfe"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005963-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxddgv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ornithogalum nurdaniae Bagci & Savran"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054860-230530130749713/datasets/export for details.
DOI: 10.15468/dl.ebgxg4
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum pignattii Peccenini & Polatschek"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154272-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxbrdr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((12.715345 37.612095,12.716139 37.614203,12.716797 37.615842,12.716558 37.615878,12.716038 37.615917,12.716618 37.61968,12.717087 37.619643,12.717479 37.619542,12.717634 37.619591,12.71804 37.619677,12.718296 37.619589,12.718535 37.619423,12.718864 37.619491,12.719924 37.619233,12.720896 37.619267,12.72197 37.619179,12.723537 37.6189,12.723747 37.619059,12.72414 37.618942,12.72445 37.618979,12.72512 37.618729,12.727286 37.617965,12.726715 37.6169,12.728117 37.616261,12.728267 37.616465,12.730788 37.615538,12.730662 37.614575,12.730051 37.61289,12.721959 37.613183,12.71833 37.612618,12.717647 37.612444,12.717272 37.612314,12.716691 37.612213,12.715345 37.612095)),((12.715331 37.612094,12.715345 37.612095,12.715335 37.612069,12.715318 37.612111,12.715331 37.612094)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030221-230530130749713/datasets/export for details.
DOI: 10.15468/dl.ormjod
title: Occurrence Download

description: A dataset containing 3226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3226 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cudhk
title: Occurrence Download

description: A dataset containing 2196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus ardens Smith, 1879",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2196 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158685-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i8v8cy
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protozoa",
 "DecimalLatitude is greater than 35.5788684205061",
 "DecimalLatitude is less than 36.1618215535279",
 "DecimalLongitude is greater than -86.7744893053699",
 "DecimalLongitude is less than -86.0782022212747"
 ]
}

 The dataset includes 62 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqc62s
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bubo scandiacus (Linnaeus, 1758)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Country is one of (Germany, France, Spain, Portugal, Denmark, Austria, Italy, Switzerland, Greece, Poland, Hungary, Slovenia, Sweden, Norway, Slovakia, Montenegro, Croatia, North Macedonia, Serbia, Iceland, Ireland, United Kingdom of Great Britain and Northern Ireland, Albania, Bosnia and Herzegovina, Bulgaria)"
 ]
}

 The dataset includes 118 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154241-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huarsr
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((16.46164 29.19750,40.06114 29.19750,40.06114 38.64218,16.46164 38.64218,16.46164 29.19750))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saurida undosquamis (Richardson, 1848)"
 ]
}

 The dataset includes 13 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158658-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzk82d
title: Occurrence Download

description: A dataset containing 28480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Bonnemaisoniaceae)"
 ]
}

 The dataset includes 28480 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154243-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqyj5n
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.6_1, CHN.HKG, CHN.MAC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Paguma larvata (C.E.H.Smith, 1827)"
 ]
}

 The dataset includes 59 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022407-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b53ax
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragnatha praedonia L.Koch, 1878",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158643-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unwyx7
title: Occurrence Download

description: A dataset containing 3974 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Zooplankton abundance and population structures assessed during April-September of 2001-2, Southern Ocean, GLOBEC"
 ]
}

 The dataset includes 3974 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khq7er
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Verbena rugosa Mill."
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005964-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erravs
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Acanthiza cinerea",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 353 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057472-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqnbyy
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drosera prostratoscaposa Lowrie & Carlquist"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007428-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.