cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/d3wh2df2w
title: Figures from Functional analysis of the acetic acid resistance (aar) gene cluster in Acetobacter aceti strain 1023

description: &lt;p&gt;Vinegar production requires acetic acid bacteria that produce, tolerate, and conserve high levels of acetic acid. When ethanol is depleted, aerobic acetate &ldquo;overoxidation&rdquo; to carbon dioxide ensues. The resulting diauxic growth pattern has two logarithmic growth phases, the first associated with ethanol oxidation and the second associated with acetate overoxidation. The vinegar factory isolate &#39;&#39;Acetobacter aceti&#39;&#39; strain 1023 has a long intermediate stationary phase that persists at elevated acetic acid levels. Strain 1023 conserves acetic acid despite possessing a complete set of citric acid cycle (CAC) enzymes, including succinyl-!CoA:acetate !CoA-transferase (SCACT), the product of the acetic acid resistance (&#39;&#39;aar) gene aarC&#39;&#39;. In this study, cell growth and acid production were correlated with the functional expression of aar genes using RT-PCR, Western blotting, and enzyme activity assays. Citrate synthase (!AarA) and SCACT (!AarC) were abundant in &#39;&#39;A. aceti&#39;&#39; strain 1023 during both log phases, suggesting the transition to acetate overoxidation was not a simple consequence of CAC enzyme induction. A mutagenized derivative of strain 1023 lacking functional !AarC readily oxidized ethanol but was unable to overoxidize acetate, indicating that the CAC is required for acetate overoxidation but not ethanol oxidation. The primary role of the &#39;&#39;aar&#39;&#39; genes in the metabolically streamlined industrial strain &#39;&#39;A. aceti &#39;&#39;1023 appears to be to harvest energy via acetate overoxidation in otherwise depleted medium.&lt;/p&gt;
description: Supplementary to Mullins E.A. and Kappock T.J. (2013) "Functional analysis of the acetic acid resistance (aar) gene cluster in Acetobacter aceti strain 1023." Acetic Acid Bacteria 2: e3. (DOI: 10.4081/aab.2013.s1.e3).
DOI: 10.4231/r71z4290
title: 32-digit values of the first 100 recurrence coefficients relative to the Theodorus weight function w(x)=x^{1/2}/(e^x-1) on R_{+} computed by the routine sr_theodorus(100,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for orthogonal polynomials relative to the Theodorus weight function w(x)=x^(1/2)/(e^x-1) on R_{+} are obtained from the first 200 moments mu_k=Gamma(k+3/2) * zeta(k+3/2), k=0,1,2,...,199, by using Chebyshev&#39;s algorithm in sufficiently high precision. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Theodorus weight function w(x)=x^{1/2}/(e^x-1) on R_{+} computed by the routine sr_theodorus(100,32)
DOI: 10.4231/r7jw8bs2
title: 28-digit values of the recursion coefficients relative to the Bessel weight function w(x)=frac{sqrt{3}}{pi}K_{1/3}(x) on [0,infty]

description: &lt;p&gt;The first 40 recursion coefficients for the Bessel weight function are obtained to 28 decimal digits by a discretization procedure described in Sec. 4.1 of Walter Gautschi, "Computation of Bessel and Airy functions and of related Gaussian quadrature formulae", BIT 42 (2002), 110-118.&lt;/p&gt;
description: 28-digit values of the recursion coefficients for orthogonal polynomials relative to the Bessel weight function w(x)=frac{sqrt{3}}{pi}K_{1/3}(x) on [0,infty]
DOI: 10.4231/r7qn64n5
title: 28-digit values of the recursion coefficients relative to the Airy weight function w(x)= frac{2^{2/3}pi}{3^{5/6}Gamma(2/3)} *x^{-2/3}exp(-x)Ai((3x/2)^{2/3}) on [0,infty]

description: &lt;p&gt;{{{ The first 40 recursion coefficients for the Airy weight function are obtained to 28 decimal digits by a discretization procedure described in Sec. 4.2 of Walter Gautschi, &quot;Computation of Bessel and Airy functions and of related Gaussian quadrature formulae&quot;, BIT 42 (2002), 110-118. }}}&lt;/p&gt;
description: 28-digit values of the recursion coefficients for orthogonal polynomials relative to the Airy weight function w(x)= frac{2^{2/3}pi}{3^{5/6}Gamma(2/3)} *x^{-2/3}exp(-x)Ai((3x/2)^{2/3}) on [0,infty]
DOI: 10.4231/r7h12zx3
title: 32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=x/(e^x-1) computed by the SOPQ routine sr_boseeinstein(100,1,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Bose-Einstein weight function w(x)=x/(e^x-1) on R_{+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 4 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=x/(e^x-1) computed by the SOPQ routine sr_boseeinstein(100,1,32)
DOI: 10.4231/r77h1ggf
title: 32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 on R_{+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 4 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^2 computed by the SOPQ routine sr_boseeinstein(100,2,32)
DOI: 10.4231/r73r0qrq
title: 32-digit values of the first 100 recurrence coefficients relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the SOPQ routine sr_boseeinstein(100,3,32)

description: &lt;p&gt;The first 100 recurrence coefficients for the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 on R_{+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 4 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418.&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Bose-Einstein weight function w(x)=[x/(e^x-1)]^3 computed by the routine sr_boseeinstein(100,3,32)
DOI: 10.4231/r7000013
title: 32-digit values of the first 100 recurrence coefficients using the Bose-Einstein weight function: w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)

description: &lt;p&gt;The first 100 recurrence coefficients for the Bose-Einstein weight function w(x)=[x/(e^x-1)]^4 on R_{+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 4 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418.&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials using the Bose-Einstein weight function: 
w(x)=[x/(e^x-1)]^4 computed by the SOPQ routine sr_boseeinstein(100,4,32)
DOI: 10.5281/zenodo.17980979
title: Protein and genomic language models uncover the unexplored diversity of bacterial immunity (Supplementary Materials)
DOI: 10.4231/r7c82765
title: 32-digit values of the first 100 recurrence coefficients relative to the Fermi-Dirac weight function w(x)=1/(e^x+1) computed by the SOPQ routine sr_fermidirac(100,1,32)

description: &lt;p&gt;32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the Fermi-Dirac weight function w(x)=1/(e^x+1) computed by the routine sr_fermidirac(100,1,32). See W. Gautschi. Repeated modifications of orthogonal polynomials by linear divisors, Numerical Algorithms 63 (2013), 369-388. doi:10.1007/s11075-012-9627-1.&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients relative to the Fermi-Dirac weight function w(x)=1/(e^x+1) computed by the SOPQ routine sr_fermidirac(100,1,32)
DOI: 10.4231/r7f769gc
title: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^{10}) computed on R by the SOPQ routine sr_freud(100,0,10,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^{10}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 3 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^{10}) computed on R by the SOPQ routine sr_freud(100,0,10,32)
DOI: 10.5281/zenodo.17980912
title: Impact of ice mélange thickness on mélange melt rate in Greenland's glacial fjords: datasets and code

description: Datasets and code assosciated with "Impact of ice mélange thickness on mélange melt rate in Greenland's glacial fjords".

This archive contains:



code.zip: the code directory needed to recreate the numerical simulations

input_m100_q300_t0_s0.zip: the input directory needed to create the m100_q300_t0_s0 simulation

melange_profiles.zip: all five of the mélange profiles used in the simulations as well as the script used to generate the mélange profiles

output_m100_q300_t0_s0.zip: the output of the m100_q300_t0_s0 simulation

temperature_salinity_profiles.zip: the temperature and salinity profiles used in the simulations  


To create the numerical simulations within MITgcm, only the "code" and "input" directories are needed. The desired temperature profile, subglacial discharge flux and mélange profile can be selected in the "gendata.m" script within the input directory. Running this gendata.m script then generates the input binary files needed to run the simulation.
DOI: 10.5281/zenodo.17980913
title: Impact of ice mélange thickness on mélange melt rate in Greenland's glacial fjords: datasets and code

description: Datasets and code assosciated with "Impact of ice mélange thickness on mélange melt rate in Greenland's glacial fjords".

This archive contains:



code.zip: the code directory needed to recreate the numerical simulations

input_m100_q300_t0_s0.zip: the input directory needed to create the m100_q300_t0_s0 simulation

melange_profiles.zip: all five of the mélange profiles used in the simulations as well as the script used to generate the mélange profiles

output_m100_q300_t0_s0.zip: the output of the m100_q300_t0_s0 simulation

temperature_salinity_profiles.zip: the temperature and salinity profiles used in the simulations  


To create the numerical simulations within MITgcm, only the "code" and "input" directories are needed. The desired temperature profile, subglacial discharge flux and mélange profile can be selected in the "gendata.m" script within the input directory. Running this gendata.m script then generates the input binary files needed to run the simulation.
DOI: 10.4231/r7pn93hs
title: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^4) computed on R by the SOPQ routine sr_freud(100,0,4,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^{4}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 3 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^4) computed on R by the SOPQ routine sr_freud(100,0,4,32)
DOI: 10.4231/r7td9v74
title: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^8) computed on R by the SOPQ routine sr_freud(100,0,8,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^{8}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 3 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^8) computed on R by the SOPQ routine sr_freud(100,0,8,32)
DOI: 10.4231/r7z60kz0
title: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^6) computed on R by the SOPQ routine sr_freud(100,0,6,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the Freud weight function w(x)=exp(-x^{6}) on R are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec. 3 of "Variable-precision recurrence coefficients for nonstandard orthogonal polynomials", Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 beta coefficients relative to the Freud weight function w(x)=exp(-x^6) computed on R by the SOPQ routine sr_freud(100,0,6,32)
DOI: 10.4231/r7x63jtm
title: 32-digit values of the first 100 recurrence coefficients relative to the half-range Hermite weight function w(x)=exp(-x^2) on R_{+} computed by the SOPQ routine sr_halfrangehermite(100,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the half-range Hermite weight function w(x)=exp(-x^2) on R_{+} are obtained to 32 decimal digits from the first 200 moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec.3 of &quot;Variable-precision recurrence coefficients for nonstandard orthogonal polynomials&quot;, Numerical Algorithms 52 (2009), 409-418. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients relative to the half-range Hermite weight function w(x)=exp(-x^2) on R_{+} computed by the SOPQ routine sr_halfrangehermite(100,32)
DOI: 10.4231/r70z715m
title: 32-digit values of the first 100 recurrence coefficients relative to the weight function w(x)=x^{-1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,-1/2,-1/2,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the weight function w(x)=x^{-1/2}(1-x)^{-1/2}log(1/x) on (0,1) are obtained to 32 decimal digits from the first 200 modified moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec.3 of &quot;Gauss quadrature routines for two classes of logarithmic weight functions&quot;, Numerical Algorithms 55 (2010), 265-277. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients relative to the weight function w(x)=x^{-1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,-1/2,-1/2,32)
DOI: 10.4231/r79g5jrn
title: 32-digit values of the first 100 recurrence coefficients relative to the weight function w(x)=x^{-1/2}(1-x)^{1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,-1/2,1/2,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the weight function w(x)=x^{-1/2}(1-x)^{1/2}log(1/x) on (0,1) are obtained to 32 decimal digits from the first 200 modified moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec.3 of &quot;Gauss quadrature routines for two classes of logarithmic weight functions&quot;, Numerical Algorithms 55 (2010), 265-277. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=x^{-1/2}(1-x)^{1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,-1/2,1/2,32)
DOI: 10.4231/r7sf2t39
title: 32-digit values of the first 100 recurrence coefficients relative to the weight function w(x)=x^{1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,1/2,-1/2,32)

description: &lt;p&gt;{{{ The first 100 recurrence coefficients for the weight function w(x)=x^{1/2}(1-x)^{-1/2}log(1/x) on (0,1) are obtained to 32 decimal digits from the first 200 modified moments by using Chebyshev&#39;s algorithm in sufficiently high precision; cf. Sec.3 of &quot;Gauss quadrature routines for two classes of logarithmic weight functions&quot;, Numerical Algorithms 55 (2010), 265-277. }}}&lt;/p&gt;
description: 32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=x^{1/2}(1-x)^{-1/2}log(1/x) on (0,1) computed by the SOPQ routine sr_jacobilog1(100,1/2,-1/2,32)
DOI: 10.15468/dl.ds3r7q
title: Occurrence Download

description: A dataset containing 185633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arbutus"
 ]
}

 The dataset includes 185633 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059228-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10872821
title: Linked collectors and determiners for: New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam.

description: Natural history specimen data linked to collectors and determiners held within, "New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a0916c-6214-4222-807c-f776a7ab49c1 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a0916c-6214-4222-807c-f776a7ab49c1. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.11224028
title: Linked collectors and determiners for: New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam.

description: Natural history specimen data linked to collectors and determiners held within, "New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a0916c-6214-4222-807c-f776a7ab49c1 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a0916c-6214-4222-807c-f776a7ab49c1. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.12611206
title: Linked collectors and determiners for: New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam.

description: Natural history specimen data linked to collectors and determiners held within, "New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a0916c-6214-4222-807c-f776a7ab49c1 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a0916c-6214-4222-807c-f776a7ab49c1. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13386472
title: Linked collectors and determiners for: New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam.

description: Natural history specimen data linked to collectors and determiners held within, "New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a0916c-6214-4222-807c-f776a7ab49c1 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a0916c-6214-4222-807c-f776a7ab49c1. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13972853
title: Linked collectors and determiners for: New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam.

description: Natural history specimen data linked to collectors and determiners held within, "New taxa and notes of katydids from the tribe Meconematini (Orthoptera: Meconematinae) from Brunei Darussalam". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a0916c-6214-4222-807c-f776a7ab49c1 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a0916c-6214-4222-807c-f776a7ab49c1. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.ykbjt2
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bryophryne bakersfield Chaparro, Padial, Gutiérrez & De la Riva, 2015"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030286-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10584962
title: Linked collectors and determiners for: Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species.

description: Natural history specimen data linked to collectors and determiners held within, "Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10705116
title: Linked collectors and determiners for: Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species.

description: Natural history specimen data linked to collectors and determiners held within, "Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.12611207
title: Linked collectors and determiners for: Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species.

description: Natural history specimen data linked to collectors and determiners held within, "Review of the leafhopper genus Penthimia Germar (Hemiptera: Cicadellidae: Deltocephalinae) from the Indian subcontinent with description of seven new species". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/61a421fd-4e5e-435a-a1c7-5686dbba694a. Formatted as a Frictionless Data package.