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

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia novogaliciana T.F.Daniel"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260468-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8fwm3
title: Occurrence Download

description: A dataset containing 1960403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipiter nisus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1960403 records from 1859 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231123-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/q7cse7
title: A remarkable new Iguanura (Arecaceae, Arecoideae, Areceae) from northern Myanmar

description: This dataset contains the digitized treatments in Plazi based on the original journal article Henderson, Andrew, Aung, Mu Mu, Armstrong, Kate (2020): A remarkable new Iguanura (Arecaceae, Arecoideae, Areceae) from northern Myanmar. Phytotaxa 446 (1): 77-80, DOI: 10.11646/phytotaxa.446.1.6, URL: http://dx.doi.org/10.11646/phytotaxa.446.1.6
DOI: 10.15468/qtkmkv
title: Description of Lutziella swatensis sp. n. (Trematoda: Dicrocoelidae) from Rattus rattus in Swat, Pakistan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Khan, N. Un. Nisa W., Khan, A., Das, S. N., Rafiq, N., Anwar, K., Khan, B. T., Ullah, I., Khan, M., Alam, A. (2022): Description of Lutziella swatensis sp. n. (Trematoda: Dicrocoelidae) from Rattus rattus in Swat, Pakistan. Brazilian Journal of Biology (e 225092) 82: 1-3, DOI: 10.1590/1519-6984.225092, URL: http://dx.doi.org/10.1590/1519-6984.225092AbstractA new species of the genus Lutziella (Rohde, 1966) Yamaguti, 1971 is described here and named Lutziella swatensis sp.nov. from the liver of rat (Rattus rattus L.). The new species is characterized by having body flat, smooth, longer than broad with maximum width at the level of the ovary, oral sucker with weak musculature, pharynx small; eosophagus long; caeca of irregular shape which bifurcate on the anterior border of the ovary in to unequal portions, acetabulum weakly muscular, post-testicular, testes lobed,cirrus pouch somewhat median, small in size containing winding seminal vesicle, prostatic complex and short ejaculatory duct. Genital pore median.Ovary post testicular, submedian;seminal receptacle overlapping ovary, laurer’s canal present. Vitellaria follicular extending on each side from almost the level of testes to anterior portion of posterior half of the body. Uterus filled with eggs occupying most of the body, eggs oval rather small, numerous, brownish in colour, excretory vesicle tubular with terminal pore. Lutziella swatensis n. sp. is the second species of the genus known from Pakistan as well as the second species described from murid rodents in the world.
DOI: 10.15468/3rkzuf
title: Genome-wide characterization and expression profiling of GASA gene family in Triticum turgidum ssp. durum (desf.) husn. (Durum wheat) unveils its involvement in environmental stress responses

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bouteraa, Mohamed Taieb, Romdhane, Walid Ben, Hsouna, Anis Ben, Amor, Fatma, Ebel, Chantal, Saad, Rania Ben (2023): Genome-wide characterization and expression profiling of GASA gene family in Triticum turgidum ssp. durum (desf.) husn. (Durum wheat) unveils its involvement in environmental stress responses. Phytochemistry (113544) 206: 1-13, DOI: 10.1016/j.phytochem.2022.113544, URL: http://dx.doi.org/10.1016/j.phytochem.2022.113544
DOI: 10.15468/mwxdhu
title: Paratypes of Brazilian Cosmioconcha helenae (Gastropoda, Columbellidae) actually belong to a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Simone, Luiz Ricardo L., Monsecour, Kevin (2024): Paratypes of Brazilian Cosmioconcha helenae (Gastropoda, Columbellidae) actually belong to a new species. Zootaxa 5406 (3): 492-494, DOI: 10.11646/zootaxa.5406.3.9, URL: http://dx.doi.org/10.11646/zootaxa.5406.3.9
DOI: 10.15468/ud6gdu
title: Distribution and roosting ecology of the lesser mouse-tailed bat, Rhinopoma hardwickii Gray, 1831 (Chiroptera: Rhinopomatidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Elangovan, Vadamalai (2022): Distribution and roosting ecology of the lesser mouse-tailed bat, Rhinopoma hardwickii Gray, 1831 (Chiroptera: Rhinopomatidae). Records of the Zoological Survey of India 122 (1): 17-23, DOI: 10.26515/rzsi/v122/i1/2022/167154AbstractThe mouse-tailed bats belong to family Rhinopomatidae face serious threat due to habitat destruction. A study on distribution, roost selection and reproductive behaviour of the lesser mouse-tailed bat, Rhinopoma hardwickii (Gray, 1831) was carried out in Uttar Pradesh as the state holds good number of historical monuments and natural caves suitable for survival of R. hardwickii. The individuals of R. hardwickii were characterized by long free tail, well developed muzzle like snout of pig, connected ear pinnae and hairless lower abdomen. The distribution of R. hardwickii was observed in dry and rocky regions of Uttar Pradesh. The roosts of R. hardwickii found in historical monuments, abandoned buildings and natural caves. The average temperature (29.8 ± 2.0 °C) and relative humidity (63.6 ± 4.2 %) did not fluctuate among the roosts. The colony size was ranged from 120 to 930 individuals. The bats occupied the surface of wall and attics solitarily during summer and clustered during winter. Rhinopoma hardwickii shared roost with R. microphyllum (Brunnich, 1782), Taphozous nudiventris (Cretzschmar, 1826) and Hipposideros fulvus (Gray, 1838). The individuals of R. hardwickii undergone mating during February-March and the gravid females gave birth during June-July. The study suggests that R. hardwickii preferred arid region wherein monuments, abandoned buildings and natural caves abundant, as they offer suitable conditions and reduced disturbance for their survival. Thus, the monuments which harbour R. hardwickii need to be protected without much renovation and human disturbances.
DOI: 10.5281/zenodo.18045339
title: Tabular Diffusion Models for Soil Data Augmentation: Overcoming Data Scarcity and Privacy Constraints in Precision Agriculture
DOI: 10.5281/zenodo.18045340
title: Tabular Diffusion Models for Soil Data Augmentation: Overcoming Data Scarcity and Privacy Constraints in Precision Agriculture
DOI: 10.15468/aupcj5
title: Debris-carrying psocodean nymph from Lebanese amber

description: This dataset contains the digitized treatments in Plazi based on the original journal article HAKIM, MARINA, HUANG, DI-YING, AZAR, DANY (2022): Debris-carrying psocodean nymph from Lebanese amber. Palaeoentomology 5 (3): 222-225, DOI: 10.11646/palaeoentomology.5.3.3, URL: http://dx.doi.org/10.11646/palaeoentomology.5.3.3
DOI: 10.15468/jv35vx
title: The good, the bad and the boa: An unexpected new species of a true boa revealed by morphological and molecular evidence

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gonzalez, Rodrigo Castellari, Lima, Lorena Corina Bezerra de, Passos, Paulo, Silva, Maria José J. (2024): The good, the bad and the boa: An unexpected new species of a true boa revealed by morphological and molecular evidence. PLoS ONE (e 0298159) 19 (4): 1-29, DOI: 10.1371/journal.pone.0298159
DOI: 10.6084/m9.figshare.30945310
title: Development and validation of an interpretable Random Forest model for predicting recurrence after endoscopic submucosal dissection in superficial oesophageal squamous cell carcinoma

description: Currently, endoscopic submucosal dissection (ESD) has become the preferred treatment for superficial oesophageal squamous cell carcinoma (SESCC). However, due to the residual background mucosa, some patients are still at risk of postoperative recurrence. This study aimed to develop and validate an explainable machine learning model to predict recurrence risk in SESCC patients undergoing ESD. We enrolled SESCC patients treated with ESD between 1 January 2016 and 31 December 2023. Patients from 2016 to 2021 were allocated to the training set, further split into a 7:3 ratio for model training and internal validation. Patients from 2022 to 2023 constituted the temporal validation set. Seven machine learning algorithms – logistic regression, extreme gradient boosting, light gradient boosting machine, random forest (RF), gradient boosting decision tree, Gaussian Naïve Bayes and Multilayer Perceptron – were employed to construct risk models. Shapley Additive exPlanations (SHAP) method was applied to interpret the optimal model’s feature importance. Eight predictors were identified for model construction: platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, low-density lipoprotein level, biological age, mid-oesophageal location, multiple tumour lesions, poor differentiation and infiltration depth (muscularis mucosa or superficial submucosa). Among the seven models, the RF algorithm demonstrated superior performance, achieving an area under the receiver operating characteristic curve of 0.892 in internal validation and 0.761 in temporal validation. An online prediction platform (https://zzhapp.shinyapps.io/shiny/) was developed for clinical application. This study successfully developed and validated an explainable RF-based machine learning model to accurately predict recurrence risk in SESCC patients after ESD.
DOI: 10.6084/m9.figshare.30945310.v1
title: Development and validation of an interpretable Random Forest model for predicting recurrence after endoscopic submucosal dissection in superficial oesophageal squamous cell carcinoma

description: Currently, endoscopic submucosal dissection (ESD) has become the preferred treatment for superficial oesophageal squamous cell carcinoma (SESCC). However, due to the residual background mucosa, some patients are still at risk of postoperative recurrence. This study aimed to develop and validate an explainable machine learning model to predict recurrence risk in SESCC patients undergoing ESD. We enrolled SESCC patients treated with ESD between 1 January 2016 and 31 December 2023. Patients from 2016 to 2021 were allocated to the training set, further split into a 7:3 ratio for model training and internal validation. Patients from 2022 to 2023 constituted the temporal validation set. Seven machine learning algorithms – logistic regression, extreme gradient boosting, light gradient boosting machine, random forest (RF), gradient boosting decision tree, Gaussian Naïve Bayes and Multilayer Perceptron – were employed to construct risk models. Shapley Additive exPlanations (SHAP) method was applied to interpret the optimal model’s feature importance. Eight predictors were identified for model construction: platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, low-density lipoprotein level, biological age, mid-oesophageal location, multiple tumour lesions, poor differentiation and infiltration depth (muscularis mucosa or superficial submucosa). Among the seven models, the RF algorithm demonstrated superior performance, achieving an area under the receiver operating characteristic curve of 0.892 in internal validation and 0.761 in temporal validation. An online prediction platform (https://zzhapp.shinyapps.io/shiny/) was developed for clinical application. This study successfully developed and validated an explainable RF-based machine learning model to accurately predict recurrence risk in SESCC patients after ESD.
DOI: 10.15468/d5zbac
title: Distribution over the Equator; the first record of Yonagunia taiwani-borealis S. - M. Lin, Y. - C. Chuang & De Clerck (Halymeniales, Rhodophyta) in Southern Indonesia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Boo, Ga Hun, Gerung, Grevo Soleman (2025): Distribution over the Equator; the first record of Yonagunia taiwani-borealis S. - M. Lin, Y. - C. Chuang & De Clerck (Halymeniales, Rhodophyta) in Southern Indonesia. Cryptogamie, Algologie 20 (4): 61-66, DOI: 10.5252/cryptogamie-algologie2025v46a4, URL: https://sciencepress.mnhn.fr/sites/default/files/articles/pdf/algologie2025v46a4_0.pdfABSTRACTDisjunct distributions provide an intriguing issue for our understanding of the biogeography of marine algae because of their lack of the active dispersal potential. The present morphological and molecular study reports the unexpected occurrence of a grateloupiacean red alga Yonagunia taiwani-borealis S.-M.Lin, Y.-C.Chuang & De Clerck from Lembongan Island, Southern Indonesia, a species which was considered endemic to northern Taiwan. Indonesian specimens were examined and are in good morpho-anatomical agreement with the Taiwanese type material. Plastid rbc L sequence divergence of both Indonesian and Taiwanese specimens was 0.08%. The disjunct distribution of Y. taiwani-borealis across the Equator likely represents a refugia population in an upwelling area that was isolated from formerly widespread populations. Yonagunia taiwani-borealis was large in height and abundant, likely functioning as foundation species of rocky shore community. This is the first record of Y. taiwani-borealis outside of northern Taiwan. This result raises the likelihood of other disjunct distributions of red algae between these two opposite areas of coastal upwelling in Southeast Asia.
DOI: 10.15468/qe8ye3
title: A new species of solitary Entoprocta, Loxosomella angusta sp. n., from the White Sea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Borisanova, A. O. (2016): A new species of solitary Entoprocta, Loxosomella angusta sp. n., from the White Sea. Invertebrate Zoology 13 (1): 43-50, DOI: 10.15298/invertzool.13.1.03, URL: https://doi.org/10.15298/invertzool.13.1.03
DOI: 10.15468/2pxcmb
title: Reproductive and defensive calls of Hydrolaetare schmidti (Anura: Leptodactylidae) from the Amazonian savanna of Amapá in northern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vilela, Lucas, Costa-Campos, Carlos Eduardo, Sousa, Jackson Cleiton De, Carvalho, Thiago Ribeiro De (2024): Reproductive and defensive calls of Hydrolaetare schmidti (Anura: Leptodactylidae) from the Amazonian savanna of Amapá in northern Brazil. Zootaxa 5538 (5): 497-500, DOI: 10.11646/zootaxa.5538.5.11, URL: http://dx.doi.org/10.11646/zootaxa.5538.5.11
DOI: 10.15468/ktujqw
title: Microchilus dressleri, a new name for Microchilus campanensis Kolan. (Orchidaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kolanowska, Marta (2015): Microchilus dressleri, a new name for Microchilus campanensis Kolan. (Orchidaceae). Phytotaxa 208 (2): 182, DOI: 10.11646/phytotaxa.208.2.8, URL: http://dx.doi.org/10.11646/phytotaxa.208.2.8
DOI: 10.4119/unibi/2999609
title: Labels and classifications of low resolution images of bumblebees

description: Description of Data for the Bee-AI Tools Project

This dataset, derived from the Bee-AI Tools GitLab project (https://gitlab.ub.uni-bielefeld.de/neurobio-public/bee-ai-tools), includes labeled data and model resources used for analyzing bumblebee flight behavior in various environments. The dataset provides annotated images used for the training and application of neuronal network to label images.
Labeled Data:
 - Annotated images classifying them into images containing a bee or not.
 - Annotated images containing head and abdomen position
Model Data: Pre-trained models
DOI: 10.5281/zenodo.14790186
title: GST
DOI: 10.5281/zenodo.14790187
title: GST
DOI: 10.15468/dl.a8wjy6
title: Occurrence Download

description: A dataset containing 3955089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Japan",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3955089 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009727-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mrhwb
title: Occurrence Download

description: A dataset containing 20813929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2021-2023"
 ]
}

 The dataset includes 20813929 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009728-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9snas
title: Occurrence Download

description: A dataset containing 5201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serpentes"
 ]
}

 The dataset includes 5201 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009731-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfgm3b
title: Occurrence Download

description: A dataset containing 106876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salicornia L."
 ]
}

 The dataset includes 106876 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009730-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5912016
title: Finnoscarmorgan/Historical_Fires_Near_Me:

description: Datasets of bushfire locations extracted from 19th century newspaper articles and serialised fiction. 

1. processed_output_bushfire_dataset.csv

This file contains all locations extracted from 42,000 newspaper articles that indicate a historical bushfire pubished between 1850-1900 in Australian newspapers. Ambiguous locations and placenames that could not be geolocated have been removed.

2. complete_output_bushfire_dataset.csv

This file contains all locations extracted from initial 110,000 newspaper articles that indicate a historical bushfire pubished between 1850-1900 in Australian newspapers inclusive of Ambiguous locations and locations that could not be geolocated. 

3. complete_output_bushfire_literature_dataset.csv

This file contains all geographic locations, inclusive of Ambiguous locations and locations that could not be geolocated from serialised fiction featuring the terminology "bushfire" published between 1850-1900 harvested from the "To Be Continued" database. Additional metadata including the narrative signficance of the bushfire is included in the dataset.
DOI: 10.5281/zenodo.6622328
title: Finnoscarmorgan/Historical_Fires_Near_Me:

description: Datasets of bushfire locations extracted from 19th century newspaper articles and serialised fiction. 

1. processed_output_bushfire_dataset.csv

This file contains all locations extracted from 42,000 newspaper articles that indicate a historical bushfire pubished between 1850-1900 in Australian newspapers. Ambiguous locations and placenames that could not be geolocated have been removed.

2. complete_output_bushfire_dataset.csv

This file contains all locations extracted from initial 110,000 newspaper articles that indicate a historical bushfire pubished between 1850-1900 in Australian newspapers inclusive of Ambiguous locations and locations that could not be geolocated. 

3. complete_output_bushfire_literature_dataset.csv

This file contains all geographic locations, inclusive of Ambiguous locations and locations that could not be geolocated from serialised fiction featuring the terminology "bushfire" published between 1850-1900 harvested from the "To Be Continued" database. Additional metadata including the narrative signficance of the bushfire is included in the dataset.
DOI: 10.15468/dl.t6fbds
title: Occurrence Download

description: A dataset containing 5201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serpentes"
 ]
}

 The dataset includes 5201 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009732-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8ez5m
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "TaxonKey is one of (Canavalia ensiformis (L.) DC., Helicoverpa armigera (Hübner, 1808))",
 "Year 2004-2025"
 ]
}

 The dataset includes 142 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009734-250127130748423/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.28332278
title: Supplementary data file

description: The aim of business process compliance (BPC) is to ensure that business processes are executed in accordance with a prescribed set of rules.In practice, the evidence would suggest that achieving this goal is challenging. Penalties and subsequent remediation costs in the Australian banking industry amounted to over A$10bn between 2017 and 2022. The research community has identified many challenges, but the industry perspective is typically missing from that research. The study takes advantage of recent events in the Australian banking industry that saw detailed regulatory reports made public, highlighting the challenges the industry faces trying to maintain compliance. The study supplements these reports with BPC-related insights from practitioners and consultancy groups to develop an industry perspective on the challenges. Consolidating the two perspectives presents a comprehensive view of BPC’s challenges and the differing emphasis that each stakeholder group places on the challenges. Process mining may provide a pathway to reconciling these different perspectives. Both the BPC literature and industry have promoted process mining’s potential to address the challenges. To explore this proposition, the study details the features of representative commercial process mining software and then maps these features to the challenges. The resultant conceptual map is used to analyze known and novel BPC challenges. It outlines the limitations that must be addressed, from both a research and industry perspective, to maintain and improve compliance.