cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cuk9kv
title: Occurrence Download

description: A dataset containing 2507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Saururus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2507 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048600-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-74209
title: Redemption tidings, vol. 53, nos. 1-52, 1 Jan. - 29 Dec. 1977

description: [description english/roman)] Issued weekly. "The vital voice of pentecost today" -- subtitle.
DOI: 10.15468/dl.amutxq
title: Occurrence Download

description: A dataset containing 80040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erysimum cheiranthoides L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 80040 records from 414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101165-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqdmbk
title: Occurrence Download

description: A dataset containing 43624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Cirsium vulgare (Savi) Ten."
 ]
}

 The dataset includes 43624 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024721-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c37p2b
title: Occurrence Download

description: A dataset containing 8667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Aegopodium podagraria L."
 ]
}

 The dataset includes 8667 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024724-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8hbkr
title: Occurrence Download

description: A dataset containing 21803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Chelidonium majus L."
 ]
}

 The dataset includes 21803 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024726-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.psc7ap
title: Occurrence Download

description: A dataset containing 61561 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is JPB - Herbário Lauro Pires Xavier"
 ]
}

 The dataset includes 61561 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024727-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k9x8y
title: Occurrence Download

description: A dataset containing 30652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Leonurus cardiaca L."
 ]
}

 The dataset includes 30652 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024729-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewudtb
title: Occurrence Download

description: A dataset containing 48657 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than 52.197",
 "DecimalLongitude is less than 65.15",
 "DecimalLatitude is greater than -22.686",
 "DecimalLatitude is less than -15.645",
 "Country is Réunion"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 48657 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024730-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhkszn
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is Catálogo de insectos de la colección del Centro de Entomología",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Monarthrum T.Kirsch, 1866"
 ]
}

 The dataset includes 93 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024737-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afpqkx
title: Occurrence Download

description: A dataset containing 1750 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than 52.197",
 "DecimalLongitude is less than 65.15",
 "DecimalLatitude is greater than -22.686",
 "DecimalLatitude is less than -15.645",
 "Country is Mauritius"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1750 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024738-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wrt28p4r3h.1
title: Midwifery care assessment in Greece: MMAYpostpartum questionnaire responses 

description: This files contains the raw data from all the included, completed questionnaires, with regard to midwifery care assessment in Greece, using the MMAYpostpartum questionnaire. Responses with missing answers, which were omitted from our data analysis have not been included in this dataset.
DOI: 10.17632/wrt28p4r3h.2
title: Midwifery care assessment in Greece: MMAYpostpartum questionnaire responses

description: This files contains the raw data from all the included, completed questionnaires, with regard to midwifery care assessment in Greece, using the MMAYpostpartum questionnaire. Responses with missing answers, which were omitted from our data analysis have not been included in this dataset. 

This dataset was utilized in the following published study: 
Kosiva A, Xydias EM, Ziogas AC, Tsakos E, Thanasas I, Lykeridou A. Evaluation of Postpartum Midwifery Care in Greece Based on Patient-Reported Outcomes Using the MMAYpostpartum Questionnaire: A Cross-Sectional Study. Cureus. 2023 Sep 28;15(9):e46129. doi: 10.7759/cureus.46129. PMID: 37779677; PMCID: PMC10537349.
DOI: 10.17632/v4h2rscmwj.1
title: Contextual Question-Answer Dataset for the Ethiopian Family Code

description: This dataset is created to fine tune llama-2 model to create a model that will be able to answer questions related with the revised family code of Ethiopia without utilization of any back-and-forth translation.

The dataset contains collection of question-answer-context that have been collected in two ways. The first method is to manually extract the question-and-answer pair from the revised family code of Ethiopia. The data generation process involves a review of each article of the family code of Ethiopia and generating questions and their answer for those question from the article they were extracted from. The context text from which the answer was generated for the given question is also added in the dataset. After the extraction each question-and-answer pair each of them was reviewed by people with domain knowledge to ensure the accuracy of them. Moreover, there was a second-round review to ensure the meaning accuracy of each pair. 

The second method to generate the question answer pair is to use ChatGPT to generate the pairs. The English version of the Family Code articles was given to ChatGPT as an input, which in turn generated relevant questions and answers based on the content of the family code. These question-answer pairs were then translated from English to the Amharic using Google Translate, the translated dataset was manually reviewed by Amharic speaking team members to validate the quality of the translations and correct mistakes that were made during the translation process. The context for each question-and-answer pair is added manually after a careful review process.
DOI: 10.17632/fr7ynxfdjd.1
title: THE INFLUENCE OF ESG-DRIVEN LENDING ON BANKING SECTOR DYNAMICS IN NIGERIA

description: The data for this study were collected through a cross-sectional survey administered to banking professionals in Nigeria, including senior management, credit risk officers, sustainability managers, and loan officers actively involved in lending practices. The survey gathered information on ESG integration within lending processes, focusing on its impact on financial performance and credit risk management. Key financial metrics, such as Return on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), and credit risk exposure, were measured. The dataset also included external factors influencing ESG adoption, such as regulatory pressures and market demand. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Bayesian Networks to examine the probabilistic relationships between ESG integration, financial outcomes, and credit risk.
DOI: 10.17632/dh94v24vx5.1
title: Data and Algorithms for Detecting Public Perceptions of Different Types of Urban Commercial Centres through Image Classification of the Big Data of Social Media Images on Weibo

description: The datasets and algorithms for Detecting Public Perceptions of Different Types of Urban Commercial Centres through Image Classification of the Big Data of Social Media Images on Weibo.

Datasets are social media images collected from public Weibo posts generated from 1 January to 31 December 2023 with the hashtags "Chengdu Global Centre" and "Chengdu Taikoo Li" (the names of two popular shopping malls in Chengdu City, Sichuan Province, China). The datasets include two parts:
1. Image-based Labelling Dataset: 9,691 images, labelled with Image-based Labelling Strategy, used for model training/evaluating/testing.
2. Research-based Labelling Dataset: 9,691 images, labelled with Research-based Labelling Strategy, used for model training/evaluating/testing.

Algorithms include:
1. Zeroshot CLIP Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
2. Zeroshot LLaVA Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
3. Fine-tuned ResNet Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
DOI: 10.17632/dh94v24vx5.2
title: Data and Algorithms for Detecting public perceptions of different types of urban spaces with computer vision techniques and social media big data

description: The datasets and algorithms for Detecting public perceptions of different types of urban spaces with computer vision techniques and social media big data.

Datasets are social media images collected from public Weibo posts generated from 1 January to 31 December 2023 with the hashtags "Chengdu Global Centre" and "Chengdu Taikoo Li" (the names of two popular shopping malls in Chengdu City, Sichuan Province, China). The datasets include two parts:
1. Image-based Labelling Dataset: 9,691 images, labelled with Image-based Labelling Strategy, used for model training/evaluating/testing.
2. Research-based Labelling Dataset: 9,691 images, labelled with Research-based Labelling Strategy, used for model training/evaluating/testing.

Algorithms include:
1. Zeroshot CLIP Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
2. Zeroshot LLaVA Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
3. Fine-tuned ResNet Model: implemented on both the Image-based Labelling Dataset and the Research-based Labelling Dataset.
DOI: 10.17632/8t6yh9rm26.1
title: Caatinga diaspores

description: Characteristics of dispersal units can provide valuable insights into the ecology of species and implications for the conservation and restoration of ecosystems. The Caatinga is the largest ecosystem of Seasonally Dry Tropical Forest and Woodlands in South America. However, information on dispersal units from the Brazilian semiarid region is still insufficient and scattered in scientific literature or unpublished data. To fill in gaps and provide detailed information on Caatinga dispersal units, we compiled a data set of morphophysiological data for 100 native taxa, including information such as germination, seed water content, 1000 seed weight, fruit shape, and geographic coordinates of 1981 seed lots. These records come from partial results of environmental licensing actions of the Integration Project of the São Francisco River with Watersheds of the Northern Northeast (PISF), the RE-Habitar Ararinha Azul project, and reliable literature. Our data set is the first of its kind for the Caatinga and has potential use for studies on forest dynamics, dispersal, germination, conservation and ecological restoration of the Brazilian semiarid region. Therefore, we hope that this data paper can offer valuable and reliable information on the distribution of local flora, dispersal syndromes, morphological descriptions, and suggest different methods for overcoming seed dormancy in Caatinga. No copyright restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.
DOI: 10.17632/8t6yh9rm26.2
title: Caatinga diaspores

description: Abstract: Characteristics of dispersal units can provide valuable insights into the ecology of species and implications for the conservation and restoration of ecosystems. The Caatinga is the largest ecosystem of Seasonally Dry Tropical Forest and Woodlands in South America. However, information on dispersal units from the Brazilian semiarid region is still insufficient and scattered in scientific literature or unpublished data. To fill in gaps and provide detailed information on Caatinga dispersal units, we compiled a data set of morphophysiological data for 100 native taxa, including information such as germination, seed water content, 1000 seed weight, fruit shape, and geographic coordinates of 1981 seed lots. In total, more than 60 tonnes of dispersal units were collected, covering 91% of the most dominant woody species in this ecosystem. These records come from partial results of environmental licensing actions of the Integration Project of the São Francisco River with Watersheds of the Northern Northeast (PISF), the Projeto Re-Habitar Ararinha Azul (Re-Habitar Ararinha Azul Project), and reliable literature. Our data set is the first of its kind for the Caatinga and has potential use for studies on forest dynamics, dispersal, germination, conservation and ecological restoration of the Brazilian semiarid region. Therefore, we hope that this data paper can offer valuable and reliable information on the distribution of local flora, dispersal syndromes, morphological descriptions, and suggest different methods for overcoming seed dormancy in Caatinga. No copyright restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data.
DOI: 10.17632/f8rfjfnhtz.1
title: The role of social feedback in technology acceptance: A one-week diary study with exoskeleton users at the workplace

description: This is the original SPSS-dataset file (LONG format) that was used to run the statistical analysis presented in the article "The role of social feedback in technology acceptance: A one-week diary study with exoskeleton users at the workplace".
DOI: 10.15468/dl.r6rpr3
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pereskia aureiflora F.Ritter"
 ]
}

 The dataset includes 74 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024743-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2bfcpc6bpj.1
title: Data for: Deep-Learning based StomaDetector for Maize Leaf Imprints

description: We took images of maize leaf imprints with an OLYMPUS BX61 microscope at a magnification of 10x (final image resolution: 2448x1920). The training-validation-test dataset (data.zip) consists of a diverse set of 250 maize leaf imprints at developmental stage V6. All stomata in these images were labelled using bounding box information, resulting in a total of &gt; 10'000 objects. This dataset was used to train a deep-learning based object detection model to automatically detect stomata in such microscopy images (included in models.zip). Finally, we evaluated the correlation between our model and ground truth calculations of stomatal density in 2 different lines of maize. For reference, the predicted stomatal counts are saved in predictions.zip and the ground truth data of the inference set is saved in inference.zip. The Images of these 2 lines (NILs and ZmAbh mutants) are available in their respective zip files.

The accompanying code for this dataset is available under: https://github.com/grimmlab/StomaDet
DOI: 10.17632/k5h9tz6wc7.1
title: Variation in the contents of four flavonoid glycosides in edible Dendrobium officinale leaves during different harvesting periods and optimization of the extraction process

description: Despite being recognized as specialty foods in four Chinese provinces with established safety standards, Dendrobium officinale Kimura et Migo (Orchidaceae) leaf physicochemical indices overlook vital flavonoid glycosides components. Given the inconsistency in flavonoid quality under current norms, we devised a quantitative analysis targeting vicenin 2, vicenin 3, rutin, and isoviolanthin. Our analysis revealed significant seasonal variations, with spring harvests yielding the highest total flavonoid content. This finding provides a scientific basis for optimal collection timing, enhancing quality control and utilization. Furthermore, we optimized extraction conditions (59.63 °C, 22.44 min, 1:37.91 g/mL solid-to-liquid ratio, 43.24% ethanol) to maximize flavonoid glycosides content. This study lays a foundation for refining D. officinale leaf quality standards and advancing related product development in China.
DOI: 10.15468/dl.7fvdwa
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pereskia aureiflora F.Ritter"
 ]
}

 The dataset includes 74 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024742-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7n5xg3v25c.1
title: The absence of statistician involvement and low journal impact factor predict statistical mistakes in dermatology journal articles: A cross-sectional analysis

description: Background: Statistical mistakes can undermine research credibility. Identifying common errors may help researchers avoid them in future studies.
Objective: This study evaluated the frequency and types of statistical mistakes in dermatology journal articles and identified article characteristics that predict these errors.
Methods: A cross-sectional analysis was conducted on articles published in the 2023 volumes of eight dermatology journals. Articles were screened for statistical tests, with a target sample of 200 selected pseudorandomly. Multivariable logistic regressions assessed predictors of statistical mistakes, including journal impact factor, statistician involvement, funding source, first author highest degree, and statistical package.
Results: Of the 189 articles analyzed, 78% contained at least one statistical mistake. Reporting mistakes were found in 67%, and test selection errors in 46%. The absence of statistician involvement (aOR 2.49, p=.03) and low journal impact factor (aOR 3.82, p=.02) predicted the presence of at least one mistake. 
Limitations: This sample from eight journals is not representative of all dermatology literature. Original data was not available for testing of test assumptions, so appropriate test selection was determined using statistical conventions. 
Conclusion: Statistical mistakes are prevalent in dermatology literature. Researchers should review statistical best practices and consider involving a statistician in their work.
DOI: 10.17632/g67yy3t252.1
title: Epithelial aPKC deficiency leads to stem cell loss preceding metaplasia in colorectal cancer initiation

description: The early mechanisms of spontaneous tumor initiation that precede the accumulation of cancer mutations are largely unknown. We show that reduced aPKC levels correlate with stem cell loss and the induction of revival and metaplastic programs in serrated- and conventional-initiated pre-neoplastic lesions, which is perpetuated in colorectal cancers (CRC). Acute inactivation of PKC/ in vivo and in organoids is sufficient to stimulate JNK in non-transformed intestinal epithelial cells (IECs), which promotes cell death and the rapid loss of the intestinal stem cells (ISC), including LGR5+ cells. This is followed by the accumulation of revival stem cells (RSC) at the bottom of the crypt and fetal metaplastic cells (FMC) at the top, creating two spatiotemporally distinct cell populations that depend on JNK-induced AP-1 and YAP. These cell lineage changes are maintained during cancer initiation and progression and determine the aggressive phenotype of human CRC irrespective of their serrated or conventional origin.
DOI: 10.15468/dl.xe49ad
title: Occurrence Download

description: A dataset containing 155820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AMNH Herpetology Collections",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 155820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024711-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d5ram
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Cyperus difformis L."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024747-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.