cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ap2stn
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Southern African Bird Atlas Project 2, University of Pretoria: Dung Beetles (Coleoptera: Scarabaeidae: Scarabaeinae), EOD – eBird Observation Dataset, SAFRING: Historical Bird Ringing Records (2005-2009))",
 "Geometry POLYGON((27.12941 -25.63933,27.13543 -25.66794,27.14849 -25.67497,27.14748 -25.68903,27.15853 -25.72618,27.16857 -25.73321,27.18915 -25.77638,27.21526 -25.76935,27.24437 -25.78291,27.25693 -25.77939,27.25843 -25.76785,27.24588 -25.71865,27.22028 -25.72116,27.19066 -25.68451,27.14598 -25.63531,27.12941 -25.63933))",
 "IucnRedListCategory is one of (CR, EN, VU, NT, DD)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 21 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009196-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryrg3y
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paris polyphylla var. latifolia F.T.Wang & C.Yu Chang"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008889-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/rwvgj7
title: Three new and notes on two other jumping spider species of the genus Stenaelurillus Simon, 1886 (Salticidae: Aelurillina) from the Deccan Plateau, India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Marathe, Kiran, Sanap, Rajesh, Joglekar, Anuradha, Caleb, John T. D., Maddison, Wayne P. (2022): Three new and notes on two other jumping spider species of the genus Stenaelurillus Simon, 1886 (Salticidae: Aelurillina) from the Deccan Plateau, India. Zootaxa 5125 (1): 1-19, DOI: 10.11646/zootaxa.5125.1.1AbstractWe describe three new species of Stenaelurillus Simon, 1886 from the Deccan Plateau of India, and report on populations of S. sarojinae Caleb & Mathai, 2014 and S. marusiki Logunov, 2001. One of the new species, S. shwetamukhi Marathe, Sanap, & Maddison, sp. nov., has black-and-white markings, characteristic of several other Indian Stenaelurillus species. The other two new species, S. tamravarni Marathe & Maddison, sp. nov., and S. vyaghri Sanap, Joglekar, & Caleb, sp. nov., are colourful and with fringed male abdomens, like several other Indian species including S. sarojinae. The population of S. sarojinae from Mysuru, Karnataka, shows colours distinct from the population at the type locality. The female of S. marusiki is described for the first time.
DOI: 10.15468/32yj8d
title: On the taxonomy of the jumping spider genus Matinta Ruiz & Maddison, 2019, with a taxonomic revision of the vicana species-group (Araneae: Salticidae: Amycini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Matos, Tainá D. S., Ruiz, Gustavo R. S. (2023): On the taxonomy of the jumping spider genus Matinta Ruiz & Maddison, 2019, with a taxonomic revision of the vicana species-group (Araneae: Salticidae: Amycini). Zootaxa 5343 (2): 126-150, DOI: 10.11646/zootaxa.5343.2.2, URL: http://dx.doi.org/10.11646/zootaxa.5343.2.2AbstractThe male of Matinta opiparis (Simon, 1900) is redescribed based on fresh material, and the female is described for the first time. Matinta tatianae sp. nov. (male) is described from Acre and Pará, Brazil. The vicana species-group of Matinta is revised, as follows: the males of M. silvae (Crane, 1943), M. fonsecai (Soares & Camargo, 1948), and M. vicana (Simon, 1900), and the female of M. silvae are redescribed based on fresh material. Three new species of the group are described: Matinta maddisoni sp. nov. from Morona Santiago, Ecuador (♁ ♀); Matinta pereirae sp. nov. from Amazonas, Brazil (♁); and Matinta aragog sp. nov. from French Guiana (♁). Detailed description of cheliceral dentition is given and commented. We conclude that the complex dentition within Amycini should be revised and more carefully studied.
DOI: 10.15468/dl.xz2c9c
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Claviceps africana"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18297498
title: Polymnia andrei Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18297499
title: Polymnia andrei Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/fyty37
title: Revision of the Pseudepipona herrichii-group of the eumenine wasps (Hymenoptera: Vespidae: Eumeninae) with the description of two new species from China and Russia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fateryga, Alexander V. (2022): Revision of the Pseudepipona herrichii-group of the eumenine wasps (Hymenoptera: Vespidae: Eumeninae) with the description of two new species from China and Russia. Zootaxa 5154 (2): 101-126, DOI: 10.11646/zootaxa.5154.2.1AbstractThe Pseudepipona herrichii -group includes species of the genus Pseudepipona de Saussure, 1856, subgenus Pseudepipona s. str., without long setae on the gena, the scutum, and the propleura, with the transverse carina of the propodeum forming laterally a tooth or at least a blunt angle, and with the preapical tooth of the male mandible of approximately equal width and length. Taxonomic revision of this group revealed the existence of six species: Pseudepipona aldrichi (Fox, 1892), stat. nov. (= P. herrichii mongolica Giordani Soika, 1970, syn. nov.), P. herrichii (de Saussure, 1856) (= P. herrichii afromontana Gusenleitner, 1977, syn. nov.), P. kozhevnikovi (Kostylev, 1927), P. tingjingliae Fateryga, sp. nov., P. tricarinata (Kokujev, 1913), and P. valentinae Fateryga, sp. nov. A complete diagnosis of the males and females of these species is provided, as is an identification key. Maps detailing the geographic distributions of each species are presented. The available data on their bionomics are also summarized.
DOI: 10.5281/zenodo.18297475
title: Hyperautomation Architectures for Financial Workflow Transformation: Integrating Generative Artificial Intelligence, Process Mining, and Socio-Technical Systems Theory

description: The accelerating convergence of hyperautomation, generative artificial intelligence, and process mining is reshaping contemporary financial workflows, redefining how organizations conceptualize efficiency, control, and strategic intelligence in digitally mediated environments. Financial operations, traditionally characterized by high volumes of rule-based transactions, regulatory intensity, and legacy system dependence, now represent a critical frontier for advanced automation paradigms that extend beyond conventional robotic process automation toward self-learning, adaptive, and context-aware systems (Panetta, 2021). This research develops an extensive theoretical and analytical examination of hyperautomation frameworks in financial workflows, grounded explicitly in the generative artificial intelligence and process mining framework articulated by Krishnan and Bhat (2025), while situating their contribution within broader debates spanning Industry 4.0, digital twins, neural analytics, and socio-technical transformation.

The study adopts a qualitative, theory-building research design that synthesizes multidisciplinary literature across information systems, artificial intelligence, operations management, and organizational theory, enabling an interpretive analysis of how hyperautomation reconfigures financial process intelligence, governance mechanisms, and human-machine collaboration (Haleem et al., 2021). Rather than offering empirical measurement or computational modeling, the article emphasizes deep conceptual elaboration, tracing the historical evolution of automation from deterministic systems toward generative, probabilistic architectures capable of autonomous decision support (Park, 2018). The abstracted findings reveal that hyperautomation in financial workflows operates not merely as a technological enhancement but as an institutional re-alignment mechanism that alters accountability structures, knowledge flows, and strategic foresight capabilities (Krishnan & Bhat, 2025).

Results from the interpretive analysis indicate that the integration of generative AI with process mining enables continuous process discovery, anomaly interpretation, and scenario simulation, thereby expanding financial organizations’ capacity for anticipatory governance and adaptive compliance (Jacoby & Usländer, 2020). However, the discussion also highlights persistent challenges, including algorithmic opacity, cognitive displacement of human expertise, and uneven diffusion across organizational clusters and labor markets (Goher et al., 2021). By critically engaging with these tensions, the article contributes an original, publication-ready synthesis that advances hyperautomation theory in financial contexts and delineates future research trajectories at the intersection of intelligent systems, organizational resilience, and digital ethics.
DOI: 10.5281/zenodo.18297474
title: Hyperautomation Architectures for Financial Workflow Transformation: Integrating Generative Artificial Intelligence, Process Mining, and Socio-Technical Systems Theory

description: The accelerating convergence of hyperautomation, generative artificial intelligence, and process mining is reshaping contemporary financial workflows, redefining how organizations conceptualize efficiency, control, and strategic intelligence in digitally mediated environments. Financial operations, traditionally characterized by high volumes of rule-based transactions, regulatory intensity, and legacy system dependence, now represent a critical frontier for advanced automation paradigms that extend beyond conventional robotic process automation toward self-learning, adaptive, and context-aware systems (Panetta, 2021). This research develops an extensive theoretical and analytical examination of hyperautomation frameworks in financial workflows, grounded explicitly in the generative artificial intelligence and process mining framework articulated by Krishnan and Bhat (2025), while situating their contribution within broader debates spanning Industry 4.0, digital twins, neural analytics, and socio-technical transformation.

The study adopts a qualitative, theory-building research design that synthesizes multidisciplinary literature across information systems, artificial intelligence, operations management, and organizational theory, enabling an interpretive analysis of how hyperautomation reconfigures financial process intelligence, governance mechanisms, and human-machine collaboration (Haleem et al., 2021). Rather than offering empirical measurement or computational modeling, the article emphasizes deep conceptual elaboration, tracing the historical evolution of automation from deterministic systems toward generative, probabilistic architectures capable of autonomous decision support (Park, 2018). The abstracted findings reveal that hyperautomation in financial workflows operates not merely as a technological enhancement but as an institutional re-alignment mechanism that alters accountability structures, knowledge flows, and strategic foresight capabilities (Krishnan & Bhat, 2025).

Results from the interpretive analysis indicate that the integration of generative AI with process mining enables continuous process discovery, anomaly interpretation, and scenario simulation, thereby expanding financial organizations’ capacity for anticipatory governance and adaptive compliance (Jacoby & Usländer, 2020). However, the discussion also highlights persistent challenges, including algorithmic opacity, cognitive displacement of human expertise, and uneven diffusion across organizational clusters and labor markets (Goher et al., 2021). By critically engaging with these tensions, the article contributes an original, publication-ready synthesis that advances hyperautomation theory in financial contexts and delineates future research trajectories at the intersection of intelligent systems, organizational resilience, and digital ethics.
DOI: 10.4121/85738a14-6652-4e0c-8552-d6fc729141b3
title: Glacier surface elevation change rate dataset accompanying the article "Monthly surface elevation data of arctic mountain glaciers"

description: Most glaciers currently decline because of the rapid climate change. This dataset provides the glacier surface elevation change rates from radar altimetry presented in the accompanied article. The dataset includes all glaciers in the Arctic that are index in the Randolph Glacier Inventory (RGI) version 7.0. The data are derived from the European Space Agency's (ESA) mission CryoSat-2, which is best suited for glaciers covering several square kilometers. Where no observations were available we interpolated using statistical methods. The present dataset allows insights into dynamics of single glaciers, as well as into regional or Arctic-wide trends.<br>The source data were provided by the European Space Agency (ESA).The dataset was produced with cryoswath equivalent to version 0.2.2.
DOI: 10.4121/85738a14-6652-4e0c-8552-d6fc729141b3.v2
title: Glacier surface elevation change rate dataset accompanying the article "Monthly surface elevation data of arctic mountain glaciers"

description: Most glaciers currently decline because of the rapid climate change. This dataset provides the glacier surface elevation change rates from radar altimetry presented in the accompanied article. The dataset includes all glaciers in the Arctic that are index in the Randolph Glacier Inventory (RGI) version 7.0. The data are derived from the European Space Agency's (ESA) mission CryoSat-2, which is best suited for glaciers covering several square kilometers. Where no observations were available we interpolated using statistical methods. The present dataset allows insights into dynamics of single glaciers, as well as into regional or Arctic-wide trends.<br>The source data were provided by the European Space Agency (ESA).The dataset was produced with cryoswath equivalent to version 0.2.2.
DOI: 10.15468/dl.kg4xuf
title: Occurrence Download

description: A dataset containing 60359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander vitreus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 60359 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019644-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa8g46
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strobilanthes cusia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 591 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019670-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m54tkj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus zeongogensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019669-260108223611665/datasets/export for details.
DOI: 10.4121/30a3ee0f-3e3e-463d-b0b7-9990103f843c
title: Data underlying the research on development of a feline coronavirus spike protein-expressing mRNA vaccine and immune response in mice and cats

description: No effective vaccine exists against feline coronavirus infection. Coronavirus spike (S) protein is rich in antigen epitopes and can mediate the production of antibodies that infect the host. Therefore, we developed an S protein for the development of a messenger ribonucleic acid (mRNA) vaccine. In this study, we constructed in vitro transcription (IVT)-mRNAs with different untranslated regions (UTRs) (i.e., IVT-mRNA-n1, IVT-mRNA-n2, and IVT-mRNA-n3) and introduced enhanced green fluorescent protein into the S protein separately. The best IVT was selected. The lipid nanoparticle (LNP)-mRNA vaccine was assembled with cationic LNPs to evaluate the expression of the target gene in vitro and the immune response in mice and cats. The results revealed that the 5’ and 3’ UTRs patterns derived from human α-globulin were the best. The developed mRNA vaccine could induce cats to produce S protein-specific antibodies, and increase interferon (IFN)-γ, interleukin (IL)-4, and tumor necrosis factor (TNF)-α expression. The feline coronavirus mRNA vaccine developed in this study provided a basis for subsequent immunization of felines. In addition, the optimization of target genes, incorporation of UTR, and selection of delivery vectors in this study provided a basis for optimizing the FCoV mRNA vaccine platform.<br><br>目前尚无针对猫冠状病毒感染的有效疫苗。冠状病毒刺突蛋白（S）富含抗原表位，能够介导感染宿主的抗体产生。因此，我们开发了一种S蛋白，用于开发信使核糖核酸（mRNA）疫苗。本研究构建了具有不同非翻译区（UTR）（即IVT-mRNA-n1、IVT-mRNA-n2和IVT-mRNA-n3）的体外转录（IVT）-mRNA，并将增强绿色荧光蛋白分别引入S蛋白。最终选出了最佳IVT。脂质纳米颗粒（LNP）-mRNA疫苗与阳离子LNP组装，用于体外评估靶基因的表达及小鼠和猫的免疫反应。结果显示，来自人类α球蛋白的5'和3' UTRs模式是最佳的。开发的mRNA疫苗可诱导猫产生S蛋白特异性抗体，并增加干扰素（IFN）-γ、白介素（IL）-4和肿瘤坏死因子（TNF）-α表达。本研究开发的猫冠状病毒mRNA疫苗为后续猫咪免疫提供了基础。此外，本研究中靶基因的优化、UTR的加入以及递送载体的选择为优化FCoV mRNA疫苗平台奠定了基础。
DOI: 10.4121/30a3ee0f-3e3e-463d-b0b7-9990103f843c.v1
title: Data underlying the research on development of a feline coronavirus spike protein-expressing mRNA vaccine and immune response in mice and cats

description: No effective vaccine exists against feline coronavirus infection. Coronavirus spike (S) protein is rich in antigen epitopes and can mediate the production of antibodies that infect the host. Therefore, we developed an S protein for the development of a messenger ribonucleic acid (mRNA) vaccine. In this study, we constructed in vitro transcription (IVT)-mRNAs with different untranslated regions (UTRs) (i.e., IVT-mRNA-n1, IVT-mRNA-n2, and IVT-mRNA-n3) and introduced enhanced green fluorescent protein into the S protein separately. The best IVT was selected. The lipid nanoparticle (LNP)-mRNA vaccine was assembled with cationic LNPs to evaluate the expression of the target gene in vitro and the immune response in mice and cats. The results revealed that the 5’ and 3’ UTRs patterns derived from human α-globulin were the best. The developed mRNA vaccine could induce cats to produce S protein-specific antibodies, and increase interferon (IFN)-γ, interleukin (IL)-4, and tumor necrosis factor (TNF)-α expression. The feline coronavirus mRNA vaccine developed in this study provided a basis for subsequent immunization of felines. In addition, the optimization of target genes, incorporation of UTR, and selection of delivery vectors in this study provided a basis for optimizing the FCoV mRNA vaccine platform.<br><br>目前尚无针对猫冠状病毒感染的有效疫苗。冠状病毒刺突蛋白（S）富含抗原表位，能够介导感染宿主的抗体产生。因此，我们开发了一种S蛋白，用于开发信使核糖核酸（mRNA）疫苗。本研究构建了具有不同非翻译区（UTR）（即IVT-mRNA-n1、IVT-mRNA-n2和IVT-mRNA-n3）的体外转录（IVT）-mRNA，并将增强绿色荧光蛋白分别引入S蛋白。最终选出了最佳IVT。脂质纳米颗粒（LNP）-mRNA疫苗与阳离子LNP组装，用于体外评估靶基因的表达及小鼠和猫的免疫反应。结果显示，来自人类α球蛋白的5'和3' UTRs模式是最佳的。开发的mRNA疫苗可诱导猫产生S蛋白特异性抗体，并增加干扰素（IFN）-γ、白介素（IL）-4和肿瘤坏死因子（TNF）-α表达。本研究开发的猫冠状病毒mRNA疫苗为后续猫咪免疫提供了基础。此外，本研究中靶基因的优化、UTR的加入以及递送载体的选择为优化FCoV mRNA疫苗平台奠定了基础。
DOI: 10.15468/dl.57gp8j
title: Occurrence Download

description: A dataset containing 1254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus"
 ]
}

 The dataset includes 1254 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019672-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayt99n
title: Occurrence Download

description: A dataset containing 618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((108.47 24.38,114.15 24.38,114.15 30.08,108.47 30.08,108.47 24.38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gardenia jasminoides",
 "Year 1950-2026"
 ]
}

 The dataset includes 618 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019673-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbhvcm
title: Occurrence Download

description: A dataset containing 790 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthus ebracteatus"
 ]
}

 The dataset includes 790 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019674-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb5e84
title: Occurrence Download

description: A dataset containing 2238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Handroanthus impetiginosum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2238 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019675-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv6kad
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gammarus nipponensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019677-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzjqs2
title: Occurrence Download

description: A dataset containing 39192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sargassum horneri",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39192 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019676-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.