cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12618915
title: Linked collectors and determiners for: Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data.

description: Natural history specimen data linked to collectors and determiners held within, "Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10505887
title: Linked collectors and determiners for: Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data.

description: Natural history specimen data linked to collectors and determiners held within, "Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10505888
title: Linked collectors and determiners for: Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data.

description: Natural history specimen data linked to collectors and determiners held within, "Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10595214
title: Linked collectors and determiners for: Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data.

description: Natural history specimen data linked to collectors and determiners held within, "Revision of the genus Miridiba Reitter, 1902 (Coleoptera, Scarabaeidae, Melolonthinae): genital morphotypes and new taxonomic data". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/83109e54-596a-4be0-ac2c-c4e1702cfb8a. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.83wycm
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phytolacca americana L."
 ]
}

 The dataset's 6 records were derived from 1231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072152-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7w286c
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Pteridophyte Collection",
 "Geometry POLYGON((-157.32755 21.04421,-156.74933 21.00349,-156.66518 21.13108,-156.67604 21.27767,-157.29769 21.25595,-157.32755 21.04421))"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072158-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkxze9
title: Occurrence Download

description: A dataset containing 751 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus pinceana Gordon"
 ]
}

 The dataset includes 751 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072159-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/1163352
title: NGEE Arctic Webcam Photographs, Barrow Environmental Observatory, Utqiagvik (Barrow), Alaska, 2012 - 2015

description: The NGEE-Arctic Webcam (PTZ Camera) captures two views of seasonal transitions from its generally south-facing position on a tower located at the Barrow Environmental Observatory near Utqiagvik (Barrow), Alaska. Images are captured every 30 minutes and available as *.jpeg files. The camera is operated by the U.S. DOE sponsored Next Generation Ecosystem Experiments - Arctic (NGEE-Arctic) project and credit also to Larry Hinzman. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.nzqpcf
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Pteridophyte Collection",
 "Geometry POLYGON((-157.8829 21.20642,-157.59444 21.25129,-157.74508 21.62309,-157.74508 21.74809,-157.99829 21.74809,-158.38291 21.55258,-158.20022 21.24167,-157.8829 21.20642))"
 ]
}

 The dataset includes 197 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072160-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cg8c2q
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Pteridophyte Collection",
 "Geometry POLYGON((-159.84302 21.8377,-159.22643 21.8377,-159.22643 22.28649,-159.84302 22.28649,-159.84302 21.8377))"
 ]
}

 The dataset includes 131 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072161-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2475418
title: Large emissions of CO2 and CH4 due to active-layer warming in Arctic tundra: Supporting Data

description: Climate warming may accelerate decomposition of Arctic soil carbon, but few controlled experiments have manipulated the entire active layer. To determine surface-atmosphere fluxes of carbon dioxide and methane under anticipated end-of-century warming, we used heating rods to warm soil (by 3.8 °C) to the depth of permafrost in polygonal tundra over two growing seasons at the Barrow Environmental Observatory in Utqiaġvik (formerly Barrow), Alaska. This data product includes supporting data for the companion paper entitled "Large emissions of CO2 and CH4 due to active-layer warming in Arctic tundra", published in Nature Communications by Torn et al. This data package contains seven data files in csv format with corresponding data dictionaries and file-level metadata, describing vegetation biomass dry weight ("Utqiagvik_Vegetation_Biomass_2014.csv"), radiocarbon measurements of respired carbon dioxide ("Utqiagvik_Radiocarbon_2015_2016.csv"), surface-atmosphere fluxes of carbon dioxide and methane and associated soil temperature ("Utqiagvik_Fluxes_Temperature_2015_2016.csv"), and soil temperature measurements averaged every 15-min and 1-hr for 2015 and 2016 ("Utqiagvik_Temperature_15min_2015.csv", "Utqiagvik_Temperature_15min_2016.csv", "Utqiagvik_Temperature_1hr_2015.csv", "Utqiagvik_Temperature_1hr_2016.csv"). There are no specific software requirements to use these data. UIC Science Native Corporation facilitated our scientific research on the Barrow Environmental Observatory, which is Iñupiat land.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.fhgjkp
title: Occurrence Download

description: A dataset containing 1225171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, EX, EW, NE)",
 "Year 2000-2019"
 ]
}

 The dataset includes 1225171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072157-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3007597/2499873
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007599/2499874
title: Data for EMSL Project 51287 from January 2024
DOI: 10.21227/3y9j-7j09
title: Twitter2015-Urdu

description: The Twitter2015-Urdu Dataset is a multimodal resource designed to advance Multimodal Named Entity Recognition (MNER) research in Urdu, a low-resource language. It adapts the widely used Twitter2015 English dataset with culturally grounded annotations tailored to Urdu's unique linguistic complexities. Featuring a balanced split across training, validation, and test sets, this dataset addresses the limitations of existing resources like CRULP, UCREL, and WikiDiverse, making it a critical tool for advancing Urdu-specific MNER research and multimodal applications.
DOI: 10.25582/data.2024-01.3007605/2499876
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007606/2499877
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007607/2499878
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007608/2499879
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007609/2499880
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007610/2499881
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007611/2499882
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007612/2499883
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007613/2499884
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007614/2499885
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007616/2499886
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007617/2499887
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007618/2499888
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007619/2499889
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007620/2499890
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007622/2499891
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007624/2499892
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007625/2499893
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007626/2499894
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007627/2499895
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007628/2499896
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007629/2499897
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007630/2499898
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007631/2499899
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007632/2499900
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007636/2499901
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007638/2499902
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007639/2499903
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007640/2499904
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007643/2499905
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007644/2499906
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007646/2499907
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007647/2499908
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007648/2499909
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007649/2499910
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007651/2499911
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007652/2499912
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007655/2499913
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007656/2499914
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007657/2499915
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007658/2499916
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007659/2499917
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007660/2499918
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007661/2499919
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007664/2499920
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007665/2499921
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007666/2499922
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007671/2499923
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007672/2499924
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007673/2499925
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007675/2499926
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007681/2499927
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007687/2499928
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007688/2499929
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007689/2499930
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007690/2499931
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007691/2499932
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007692/2499933
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007693/2499934
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007694/2499935
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007695/2499936
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007697/2499937
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007701/2499938
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007702/2499939
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007703/2499940
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007706/2499941
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007708/2499942
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007710/2499943
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007711/2499944
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007712/2499945
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007713/2499946
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007715/2499947
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007716/2499948
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007719/2499949
title: Data for EMSL Project 51287 from January 2024
DOI: 10.6084/m9.figshare.28216820
title: <b>Raw data(THE EFFECTIVENESS OF FLOOD COMMUNICATION AMONG OPINION LEADERS ON DOUYIN)</b>

description: The current study aims to explore the efficiency of Douyin as a platform for opinion leaders in communicating flood crisis information by applying media richness and opinion leader theories. A mixed research method, namely quantitative content analysis and qualitative in-depth interviews, was adopted.
DOI: 10.6084/m9.figshare.28216820.v1
title: <b>Raw data(THE EFFECTIVENESS OF FLOOD COMMUNICATION AMONG OPINION LEADERS ON DOUYIN)</b>

description: The current study aims to explore the efficiency of Douyin as a platform for opinion leaders in communicating flood crisis information by applying media richness and opinion leader theories. A mixed research method, namely quantitative content analysis and qualitative in-depth interviews, was adopted.
DOI: 10.25582/data.2024-01.3007720/2499950
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007721/2499951
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007722/2499952
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007724/2499953
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007725/2499954
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007726/2499955
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007727/2499956
title: Data for EMSL Project 51287 from January 2024
DOI: 10.25582/data.2024-01.3007728/2499957
title: Data for EMSL Project 51287 from January 2024
DOI: 10.5281/zenodo.15141267
title: TABLE 3 in Karyotype comparison of five African Vespertilionini species with comments on phylogenetic relationships and proposal of a new subtribe

description: TABLE 3. Chromosomal arm combinations. Sources: Volleth et al., (2001), Kearney et al. (2002), and this report. ‘x’ indicates that combination is present; ‘X’ in bold lettering marks synapomorphies. Abbreviations: R — rearranged; inv — inversion; ANA — Afronycteris nana; LCA — Laephotis capensis; LKI — L. kirinyaga; NGU — Neoromicia guineensis; NZU — N. zuluensis; NCR — Nycticeinops crassulus; NHA — N. happoldorum; NMA — N. macrocephalus; NSC — N. schlieffenii; PBR — Pseudoromicia brunnea; PRE — P. rendalli
CombinationLKILCANGUNZUANASpecies PBRPRENHANCRNSCNMA1/2xxxxxxxxx1/13XX2/7x2/24inv3/4xxxxxinvxxx3/6x3/11x4/9x5/6xxxxxxxxx5/12x7/11XXXXXXXx7/22x8/9XXXXXXX8/10x8/12x8/20x9/12x9/13x10/12XXXXXXx10/14x10/23inv11/23x11/25-24x13/18XXXX13/14x14/18xx14/19x14/20XX14/21XX15/18x15/19XX15/21XX15/25x16/17xxxxxRxxxinv19/21x20/22XX20-22/23x21/16-17x21/22x23/24RX25/Xx
description: Published as part of Volleth, Marianne, Mayer, Frieder, Heller, Klaus-Gerhard, Müller, Stefan & Fahr, Jakob, 2023, Karyotype comparison of five African Vespertilionini species with comments on phylogenetic relationships and proposal of a new subtribe, pp. 47 in Acta Chiropterologica 25 (1) on page 47, DOI: 10.3161/15081109ACC2023.25.1.002, http://zenodo.org/record/10265140
DOI: 10.5281/zenodo.15141268
title: TABLE 3 in Karyotype comparison of five African Vespertilionini species with comments on phylogenetic relationships and proposal of a new subtribe

description: TABLE 3. Chromosomal arm combinations. Sources: Volleth et al., (2001), Kearney et al. (2002), and this report. ‘x’ indicates that combination is present; ‘X’ in bold lettering marks synapomorphies. Abbreviations: R — rearranged; inv — inversion; ANA — Afronycteris nana; LCA — Laephotis capensis; LKI — L. kirinyaga; NGU — Neoromicia guineensis; NZU — N. zuluensis; NCR — Nycticeinops crassulus; NHA — N. happoldorum; NMA — N. macrocephalus; NSC — N. schlieffenii; PBR — Pseudoromicia brunnea; PRE — P. rendalli
CombinationLKILCANGUNZUANASpecies PBRPRENHANCRNSCNMA1/2xxxxxxxxx1/13XX2/7x2/24inv3/4xxxxxinvxxx3/6x3/11x4/9x5/6xxxxxxxxx5/12x7/11XXXXXXXx7/22x8/9XXXXXXX8/10x8/12x8/20x9/12x9/13x10/12XXXXXXx10/14x10/23inv11/23x11/25-24x13/18XXXX13/14x14/18xx14/19x14/20XX14/21XX15/18x15/19XX15/21XX15/25x16/17xxxxxRxxxinv19/21x20/22XX20-22/23x21/16-17x21/22x23/24RX25/Xx
description: Published as part of Volleth, Marianne, Mayer, Frieder, Heller, Klaus-Gerhard, Müller, Stefan & Fahr, Jakob, 2023, Karyotype comparison of five African Vespertilionini species with comments on phylogenetic relationships and proposal of a new subtribe, pp. 47 in Acta Chiropterologica 25 (1) on page 47, DOI: 10.3161/15081109ACC2023.25.1.002, http://zenodo.org/record/10265140