cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/82jrwq
title: Replication Data for: COVID-19 Direct Relief Payments and Political and Economic Attitudes among Tertiary Students: A Quasi-experimental Study

description: This dataset provides the survey data on how COVID-19-related relief payments affect economic and political attitudes of tertiary students in Hong Kong.
DOI: 10.7910/dvn/tmyyfu
title: Replication data for Bakaki, Z., and Bernauer, T. (2018). Do economic conditions affect public support for environmental policy?. Journal of Cleaner Production, 195, 66-​78. DOI: 10.1016/j.jclepro.2018.05.162

description: Survey data (2016) from Brazil on public opinion about environmental policy.
DOI: 10.7910/dvn/v1tkio
title: Replication Data and additional supporting files for Sharing Individual Patient and Parasite-level Data through the WorldWide Antimalarial Resistance Network Platform: a Qualitative Case Study

description: These data relate to the paper: Sharing Individual Patient and Parasite-level Data through the WorldWide Antimalarial Resistance Network Platform: a Qualitative Case Study, by Elizabeth Pisani and Stella Botchway, submitted to Wellcome Open Research, July 2017. We provide the study outline, the coding tree, the completed COREQ reporting form, and an .xslx format set of data relating to papers published in relation to the WWARN platform until June 30, 2016
DOI: 10.7910/dvn/nqedjp
title: 2018-01-09: DIP/WT Images (x5 magnification) - Analysis Results

description: first run IMAGEANALYSIS-20180109-X5
description: pipeline IDs: 3873756-3873760
DOI: 10.7910/dvn/85pj1d
title: Global National Total Amounts of Urban Land, SSP-Consistent Projections and Base Year, v1 (2000 - 2100)

description: &lt;p&gt;National total area of urban land for countries across the world, including the base year (2000) and projections (2010-2100) consistent with the Shared Socioeconomic Pathways (SSPs). Downloadable as CSV files. Data Unit: km&lt;sup&gt;2&lt;/sup&gt;.&lt;/p&gt;
&lt;h3&gt;Cite as...&lt;/h3&gt;
&lt;p&gt;Gao, J., & O'Neill, B.C. (2020). Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways. &lt;i&gt;Nature Communications&lt;/i&gt;. &lt;a href="https://doi.org/10.1038/s41467-020-15788-7"&gt;DOI: 10.1038/s41467-020-15788-7&lt;/a&gt;&lt;/p&gt;
DOI: 10.7910/dvn/nugajb
title: Replication Data for: Engagement under Authoritarian Rule: Political Participation of Muslim Minorities in China

description: While Chinese ethnic minorities are commonly viewed as possessing different political attitudes and patterns of political behavior from the Han majority, how exactly they engage in political participation and why has not been well studied. This investigation attempts to unpack ethnic political participation in China both theoretically and empirically. By analyzing the political behavior of Muslim minorities, as represented mainly by the Uyghur and the Hui, and comparing their behavior with that of the Han, I argue that risk perception plays a crucial role in shaping individuals’ attitudes toward political participation, their actual level of political activism, and their preference for modes of participation. Specifically, I exploit a large-scale survey and two survey experiments to show that the Uyghurs are embedded in a risk- minimization equilibrium in which political participation is perceived as a highly risky act rather than an effective tool to articulate political interests. As a result, they engage in political participation less often than the Han or the Hui, and when they do participate, they prefer indirect, individual, and formal modes. The Han and the Hui, on the other hand, perceive political participation as a low-cost, high-benefit means of meeting their political and social demands. As such, they are more willing to engage in politics and when they engage, they tend to prefer direct, collective, and informal channels as they are generally more effective in stimulating government response and policy changes. Finally, I identify a channel that alters the Uyghurs’ cost-benefit calculation for political participation. Once they are exposed to materials of national propaganda, they develop a salient national identity and a strong sense of duty both for the Chinese nation and the community in which they live, leading to more active political participation and bolder pursuit of their interest.
DOI: 10.7910/dvn/84nlsq
title: Basil suitability dataset for Valle del Cauca, Colombia

description: We present a 100-meter resolution layer for evaluating basil crop suitability in Valle del Cauca, southwest Colombia, accompanied by pertinent modeling layers. Our model employs seven biophysical criteria, namely Altitude, Temperature, Solar Brightness, Relative Humidity, Drainage, Precipitation, and Slope, were employed, alongside four exclusion criteria: Erosion, Protected Areas, Water Bodies, and Urban Areas. We explore primary and secondary scenarios, assessing suitable areas under average and 75% rainfall exceedance conditions using an additional precipitation layer. An additional precipitation layer was incorporated for this purpose. The data for the layers were sourced from various government entities and private organizations. The 12 normalized criteria layers, reflecting aptitude for the studied crop, are included, along with layers for the Suitable Crop Location Index (SCLI) for both pre-and post-classification into categories. Supplementary layers that may be relevant but were not included in the model, such as the road network and airport locations, are also provided.&lt;br&gt;&lt;br&gt; Methodology:The layers were obtained through a methodology that integrates AHP-GIS techniques. Based on the hierarchy and weighted values of each biophysical criterion obtained through the Analytic Hierarchy Process (AHP), each layer was integrated through a weighted sum to derive the Suitable Crop Location Index (SCLI).
DOI: 10.15468/dl.9akr7n
title: Occurrence Download

description: A dataset containing 1830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalorhynchus commersonii (Lacépède, 1804)"
 ]
}

 The dataset includes 1830 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017997-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/aehcy
title: Senate Unpassed Legislation 1794, Docket 1885, SC1/series 231, Petition of Cotton Brook

description: &lt;p&gt;Petition subject: Captives in Algiers &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11148833"&gt;http://nrs.harvard.edu/urn-3:FHCL:11148833&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1794-06-04 &lt;/p&gt; &lt;p&gt;Petition location: Haverhill &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Committee, both Houses on the petition of Moses Brown and others on a similar subject &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Cotton Brook&lt;/li&gt;&lt;li&gt;Benjamin Willis&lt;/li&gt;&lt;li&gt;James Brickett&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1794-06-10,1794-06-11 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on June 10, 1794 and committed to the committee of both Houses on the petition of Moses Brown and others on a similar subject and sent for concurrence and received in the Senate on June 11, 1794 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 57 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, committed, sent, received, concurred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 57 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: Memorialists &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Additional archivist notes: captivity, Algerines, liberty &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Senate Unpassed 1794, Docket 1885 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.15468/dl.674qg5
title: Occurrence Download

description: A dataset containing 4925958 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 (Troglodytes troglodytes (Linnaeus, 1758))",
 "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 4925958 records from 5322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017958-250525065834625/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.28216796
title: VPS13D-related disorders: a severe case, review, and genotype–phenotype correlation

description: <i>VPS13D</i>-related disorders are autosomal recessive genetic disorders characterized by movement disorders primarily including ataxia and spasticity, mainly accompanying developmental delay, seizures, and neuroimaging abnormalities. <i>VPS13D</i>-related spectrum disorder (VSD) may better reflect the characteristics of the disease. So far, the relationship of <i>VPS13D</i> genotype and phenotype of VSD has not been established. We analyzed clinical data and collected DNA samples from a severe patient and his healthy parents. Whole exome sequencing was performed by next-generation sequencing. We presented a review of all cases with VSD to establish genotype–phenotype correlation. The patient had compound heterozygous mutations (c.9785T&gt;C, p.L3262P; c.8687C&gt;T, p.T2896M) in <i>VPS13D</i> gene, maternally and paternally inherited, respectively. The p.L3262P is a novel mutation. The individual presented with ataxia, dystonia, developmental delay, epilepsy and neuroimaging abnormalities, including bilateral caudate and putamen, cerebellum, and right temporal lobe, which are the first detailed imaging study reported in VSD to date. We first report that the patient has achieved significant improvement through active treatment. We first summarize genotype–phenotype correlation of VSD, highlighting that the severity of the phenotype is mainly due to the mutations affecting important domains of VPS13D protein or special severe missense mutations. Neuroimaging analysis is helpful to the etiology study of VSD. Active treatment of VSD is still meaningful. Important VPS13D regions correlated with severe phenotype need to be further studied.
DOI: 10.6084/m9.figshare.28216796.v2
title: VPS13D-related disorders: a severe case, review, and genotype–phenotype correlation

description: <i>VPS13D</i>-related disorders are autosomal recessive genetic disorders characterized by movement disorders primarily including ataxia and spasticity, mainly accompanying developmental delay, seizures, and neuroimaging abnormalities. <i>VPS13D</i>-related spectrum disorder (VSD) may better reflect the characteristics of the disease. So far, the relationship of <i>VPS13D</i> genotype and phenotype of VSD has not been established. We analyzed clinical data and collected DNA samples from a severe patient and his healthy parents. Whole exome sequencing was performed by next-generation sequencing. We presented a review of all cases with VSD to establish genotype–phenotype correlation. The patient had compound heterozygous mutations (c.9785T&gt;C, p.L3262P; c.8687C&gt;T, p.T2896M) in <i>VPS13D</i> gene, maternally and paternally inherited, respectively. The p.L3262P is a novel mutation. The individual presented with ataxia, dystonia, developmental delay, epilepsy and neuroimaging abnormalities, including bilateral caudate and putamen, cerebellum, and right temporal lobe, which are the first detailed imaging study reported in VSD to date. We first report that the patient has achieved significant improvement through active treatment. We first summarize genotype–phenotype correlation of VSD, highlighting that the severity of the phenotype is mainly due to the mutations affecting important domains of VPS13D protein or special severe missense mutations. Neuroimaging analysis is helpful to the etiology study of VSD. Active treatment of VSD is still meaningful. Important VPS13D regions correlated with severe phenotype need to be further studied.
DOI: 10.6084/m9.figshare.28216796.v1
title: VPS13D-related disorders: a severe case, review, and genotype–phenotype correlation

description: <i>VPS13D</i>-related disorders are autosomal recessive genetic disorders characterized by movement disorders primarily including ataxia and spasticity, mainly accompanying developmental delay, seizures, and neuroimaging abnormalities. <i>VPS13D</i>-related spectrum disorder (VSD) may better reflect the characteristics of the disease. So far, the relationship of <i>VPS13D</i> genotype and phenotype of VSD has not been established. We analyzed clinical data and collected DNA samples from a severe patient and his healthy parents. Whole exome sequencing was performed by next-generation sequencing. We presented a review of all cases with VSD to establish genotype–phenotype correlation. The patient had compound heterozygous mutations (c.9785T&gt;C, p.L3262P; c.8687C&gt;T, p.T2896M) in <i>VPS13D</i> gene, maternally and paternally inherited, respectively. The p.L3262P is a novel mutation. The individual presented with ataxia, dystonia, developmental delay, epilepsy and neuroimaging abnormalities, including bilateral caudate and putamen, cerebellum, and right temporal lobe, which are the first detailed imaging study reported in VSD to date. We first report that the patient has achieved significant improvement through active treatment. We first summarize genotype–phenotype correlation of VSD, highlighting that the severity of the phenotype is mainly due to the mutations affecting important domains of VPS13D protein or special severe missense mutations. Neuroimaging analysis is helpful to the etiology study of VSD. Active treatment of VSD is still meaningful. Important VPS13D regions correlated with severe phenotype need to be further studied.
DOI: 10.15468/dl.fs832y
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.6.4_1, CHN.6.15_1, CHN.6.21_1, CHN.6.3_1, CHN.6.6_1, CHN.6.2_1, CHN.6.20_1, CHN.6.7_1, CHN.6.19_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanellus vanellus",
 "Year 2020-2025"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025598-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23756
title: Chandra X-ray Observatory ObsId 23756

description: An X-ray view of the most powerful galactic-wide outflows
DOI: 10.25574/23785
title: Chandra X-ray Observatory ObsId 23785

description: Microlensing a Quasar's Accretion Disk
DOI: 10.25574/25811
title: Chandra X-ray Observatory ObsId 25811

description: Identification of Two X-ray Jets in High-Redshift Quasars
DOI: 10.17611/dp/21041475
title: Global ShakeMovie synthetic for March 22, 2023 MW 5.3 KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21041479
title: Global ShakeMovie synthetic for March 22, 2023 MW 6.5 JUJUY PROVINCE, ARGENTINA
DOI: 10.17611/dp/21041483
title: Global ShakeMovie synthetic for March 22, 2023 MW 5.9 TAJIKISTAN
DOI: 10.17611/dp/21042957
title: Global ShakeMovie synthetic for March 22, 2023 MW 5.7 PHILIPPINE ISLANDS REGION
DOI: 10.17611/dp/21042961
title: Global ShakeMovie synthetic for March 23, 2023 MW 5.7 NEAR N COAST OF NEW GUINEA, PNG.
DOI: 10.17611/dp/21048903
title: Global ShakeMovie synthetic for March 24, 2023 MW 5.6 TURKEY-IRAN BORDER REGION
DOI: 10.17611/dp/21048907
title: Global ShakeMovie synthetic for March 24, 2023 MW 5.7 FIJI ISLANDS REGION
DOI: 10.17611/dp/21050556
title: Global ShakeMovie synthetic for March 27, 2023 MW 5.6 FIJI ISLANDS REGION
DOI: 10.17611/dp/21052482
title: Global ShakeMovie synthetic for March 27, 2023 MW 6.1 SOLOMON ISLANDS
DOI: 10.17611/dp/21052486
title: Global ShakeMovie synthetic for March 28, 2023 MW 6.1 HOKKAIDO, JAPAN REGION
DOI: 10.17611/dp/21054773
title: Global ShakeMovie synthetic for March 30, 2023 MW 6.3 OFF COAST OF CENTRAL CHILE
DOI: 10.17611/dp/21054777
title: Global ShakeMovie synthetic for March 31, 2023 MW 5.6 WESTERN INDIAN-ANTARCTIC RIDGE
DOI: 10.17611/dp/21066841
title: Global ShakeMovie synthetic for April 02, 2023 MW 5.5 FLORES SEA
DOI: 10.17611/dp/21066845
title: Global ShakeMovie synthetic for April 02, 2023 MW 7.1 NEW GUINEA, PAPUA NEW GUINEA
DOI: 10.17611/dp/21068153
title: Global ShakeMovie synthetic for April 03, 2023 MW 6.6 NEAR EAST COAST OF KAMCHATKA
DOI: 10.17611/dp/21068157
title: Global ShakeMovie synthetic for April 03, 2023 MW 6.2 NORTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21068161
title: Global ShakeMovie synthetic for April 03, 2023 MW 5.5 OWEN FRACTURE ZONE REGION
DOI: 10.17611/dp/21068165
title: Global ShakeMovie synthetic for April 03, 2023 MW 5.5 OWEN FRACTURE ZONE REGION
DOI: 10.17611/dp/21070384
title: Global ShakeMovie synthetic for April 04, 2023 MW 5.5 OAXACA, MEXICO
DOI: 10.17611/dp/21070388
title: Global ShakeMovie synthetic for April 04, 2023 MW 6.2 PHILIPPINE ISLANDS REGION
DOI: 10.17611/dp/21070392
title: Global ShakeMovie synthetic for April 04, 2023 MW 5.9 NEAR COAST OF NORTHERN CHILE
DOI: 10.17611/dp/21070396
title: Global ShakeMovie synthetic for April 04, 2023 MW 6.4 SOUTH OF PANAMA
DOI: 10.17611/dp/21077910
title: Global ShakeMovie synthetic for April 07, 2023 MW 5.9 KURIL ISLANDS
DOI: 10.17611/dp/21082921
title: Global ShakeMovie synthetic for April 09, 2023 MW 5.5 NICOBAR ISLANDS, INDIA REGION
DOI: 10.17611/dp/21082925
title: Global ShakeMovie synthetic for April 09, 2023 MW 5.7 NICOBAR ISLANDS, INDIA REGION
DOI: 10.17611/dp/21082929
title: Global ShakeMovie synthetic for April 09, 2023 MW 5.6 SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21082933
title: Global ShakeMovie synthetic for April 09, 2023 MW 5.8 BISMARCK SEA
DOI: 10.17611/dp/21088291
title: Global ShakeMovie synthetic for April 11, 2023 MW 5.6 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/21111385
title: Global ShakeMovie synthetic for April 15, 2023 MW 5.9 SOUTHWEST INDIAN RIDGE
DOI: 10.17611/dp/21111389
title: Global ShakeMovie synthetic for April 15, 2023 MW 5.7 SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21111393
title: Global ShakeMovie synthetic for April 17, 2023 MW 5.1 SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21114017
title: Global ShakeMovie synthetic for April 13, 2023 MW 6.1 VANCOUVER ISLAND, CANADA REGION
DOI: 10.17611/dp/21114021
title: Global ShakeMovie synthetic for April 18, 2023 MW 5.7 NEAR EAST COAST OF KAMCHATKA
DOI: 10.17611/dp/21114025
title: Global ShakeMovie synthetic for April 18, 2023 MW 6.6 SOUTH OF FIJI ISLANDS
DOI: 10.17611/dp/21114029
title: Global ShakeMovie synthetic for April 19, 2023 MW 6.3 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/21116651
title: Global ShakeMovie synthetic for April 20, 2023 MW 5.4 OFF COAST OF CENTRAL AMERICA
DOI: 10.17611/dp/21132955
title: Global ShakeMovie synthetic for April 21, 2023 MW 5.7 MID-INDIAN RIDGE
DOI: 10.17611/dp/21132959
title: Global ShakeMovie synthetic for April 21, 2023 MW 6.0 NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/21132963
title: Global ShakeMovie synthetic for April 21, 2023 MW 5.4 CENTRAL MEDITERRANEAN SEA
DOI: 10.17611/dp/21132967
title: Global ShakeMovie synthetic for April 22, 2023 MW 6.3 BANDA SEA
DOI: 10.17611/dp/21132971
title: Global ShakeMovie synthetic for April 22, 2023 MW 5.5 SOUTHEAST OF EASTER ISLAND
DOI: 10.17611/dp/21132975
title: Global ShakeMovie synthetic for April 22, 2023 MW 5.9 SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21132979
title: Global ShakeMovie synthetic for April 22, 2023 MW 6.0 SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21132983
title: Global ShakeMovie synthetic for April 24, 2023 MW 7.1 KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/21132987
title: Global ShakeMovie synthetic for April 24, 2023 MW 7.1 SOUTHERN SUMATRA, INDONESIA
DOI: 10.34740/kaggle/dsv/12817602
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15572007
title: LeafMachine2 Data: Urticaceae Leaf Outlines and ECT

description: Urticaceae - 224,532 leaves - 31.3 GB: This repository contains HDF5 (.h5) files with leaf morphological data for species in the Urticaceae family. Each file represents a single leaf specimen and contains leaf shape outlines, the 128x128 ECT matrix, and associated metadata.

File Contents

This dataset contains 224,532 leaves from taxa in the family Urticaceae. Some leaves may be partial, predated, broken, or incomplete. 

Each .h5 file contains the following datasets:



ECT_matrices/ - Euler Characteristic Transform (ECT) matrices capturing topological features of leaf shapes

shapes/shape_0 - Coordinate array (x,y) defining the leaf outline boundary. 

component_names - Original filename identifier (without extension)

group_labels - Taxonomic classification dictionary containing:



family: Taxonomic family name

genus: Genus classification

genus_species: Binomial species name

fullname: Complete taxonomic identifier




Data Format

Files are organized with standardized naming: [Herbarium]_[ID]_[Family]_[Genus]_[Species]__[LeafID].h5

Shape coordinates are normalized to a unit circle centered at the origin (-0.5 to 0.5 range), vertically oriented.

Uncompressed Size:

31.3 GB

Usage

Code for reading, processing, and analyzing these files is available at: https://github.com/Gene-Weaver/LM2-Data-Tools

The repository includes functions for extracting data and generating visualizations.

Citation: Please cite the LeafMachine2 paper and this dataset.



Weaver, W. N., & Smith, S. A. (2023). From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2. Applications in Plant Sciences, 11(5), e11548. https://doi.org/10.1002/aps3.11548