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

description: A dataset containing 3355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus aridicola L.A.S.Johnson)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3355 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088750-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rfpbk
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nepeta tenuifolia Benth.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 213 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088751-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12207949
title: HFCs Feedstock Data and Code for PNAS

description: This is the data and code used for my Bayesian work on CFC emissions from HFC production, submitted to PNAS on June 21, 2024. To complete the analysis, place all code in a directory and run the CFCs_113_114_115_HCFC_133_BPE.m file.

 

Please reach me at sjbourguet12@gmail.com with questions.
DOI: 10.5281/zenodo.12207950
title: HFCs Feedstock Data and Code for PNAS

description: This is the data and code used for my Bayesian work on CFC emissions from HFC production, submitted to PNAS on June 21, 2024. To complete the analysis, place all code in a directory and run the CFCs_113_114_115_HCFC_133_BPE.m file.

 

Please reach me at sjbourguet12@gmail.com with questions.
DOI: 10.15468/dl.whyb86
title: Occurrence Download

description: A dataset containing 7729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus kraussii Hochst.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7729 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088752-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkgfdh
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutellaria dumetorum Schltdl.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 818 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088754-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apvejd
title: Occurrence Download

description: A dataset containing 314710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is June",
 "Year 2000-2024"
 ]
}

 The dataset includes 314710 records from 724 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088733-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwkqdz
title: Occurrence Download

description: A dataset containing 2737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutellaria columnae All.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2737 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088756-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2fmkf2
title: CCDC 2253124: Experimental Crystal Structure Determination

description: Related Article: Ishfaq Ahmad Rather, Manzoor Ahmad, Pinaki Talukdar, Rashid Ali|2023|CSD Communication|||
description: Related Article: Ishfaq Ahmad Rather, Manzoor Ahmad, Pinaki Talukdar, Rashid Ali|2024|J.Mater.Chem.B|12|5950|doi:10.1039/D3TB02880A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.jx3tt4
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutellaria barbata D.Don)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 756 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088757-240506114902167/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.26085571
title: Image Fusion/Detection Raw Data

description: These data are raw image data related to the qualitative results of fusion, detection, and ablation experiments in our manuscript "<b>A Novel Infrared and Harsh Light Visible Image Fusion Network Base on Ambient Light Intensity Perception</b>"
DOI: 10.15468/dl.ebge6v
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nepeta laevigata (D.Don) Hand.-Mazz.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 383 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088758-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghbkg2
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nepeta annua Pall.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 183 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088759-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vs5zby
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088760-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pbx5w
title: Occurrence Download

description: A dataset containing 762455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2023-2024"
 ]
}

 The dataset includes 762455 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088744-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cph2e
title: Occurrence Download

description: A dataset containing 4222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "GadmGid is THA.70_1",
 "Geometry POLYGON((97.27867 7.07208,104.35276 7.07208,104.35276 9.90051,97.27867 9.90051,97.27867 7.07208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4222 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088761-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwz5r4
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jacksonia reclinata Chappill)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 177 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088762-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwshug
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jacksonia remota Chappill)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088764-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8764547
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.yvwsb2
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Robinia margarettae Ashe)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088765-240506114902167/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.20987830.v1
title: Dysphagia terminology for texture modified fluid and food: a national survey of speech-language pathologists’ practice

description: Texture modified consistencies (TMC) is a common compensatory strategy in dysphagia management. Lack of consensus regarding TMC terminology places a person at risk of poor oral intake, malnutrition, dehydration, and aspiration. To investigate: (a) Swedish Speech-Language Pathologists (SLPs) dysphagia management with TMC, including terminology, inter-professional collaboration, and knowledge of standard TMC guides; and (b) the current TMC terminology/guides used within university hospitals, in Sweden. Part One surveyed SLPs from 19/21 regions. Recruitment occurred via regional SLP/department managers, the national SLP association and email lists. Non-parametric statistics were employed. Part Two explored TMC guides within the seven university hospitals. The initial survey identified 78 Swedish TMC terms. Overlap of both TMC <i>terms</i> and <i>descriptions</i> occurred. Different terms to describe same/similar textures were used by 70% of the SLPs. Knowledge of established guides was high (&gt;90%), though TMC was often (60%) based on locally developed documents. Collaboration with other professions was reported by 97% of SLPs, however almost half perceived collaboration to be inadequate, citing difficulties with transfer of TMC recommendations. Variance in TMC terms/guides within/across the university hospitals occurred. Variable TMC terminology is used in Sweden, impacting optimal dysphagia management. Future research should focus upon implementation of standardised TMC terminology.
DOI: 10.15468/dl.hzy8et
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abrus precatorius subsp. africanus Verdc.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 673 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088766-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12209370
title: Investigating User Feedback from a Crowd in Requirements Management in Software Ecosystems
DOI: 10.5281/zenodo.12209371
title: Investigating User Feedback from a Crowd in Requirements Management in Software Ecosystems
DOI: 10.5281/zenodo.12209149
title: Academic Research at UNTRM: Bibliometric Analysis in Economic and Administrative Sciences

description: Bibliometric analysis is crucial to assess research trends in disciplines such as economics and administrative sciences. This study aims to detail trends and developments in these areas at the Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), highlighting emerging themes and influential actors. A systematic bibliometric methodology was used to understand the scientific focus of the publications of the thesis students of the Faculty of Economics and Administrative Sciences of the UNTRM. Scopus documents were thoroughly reviewed, using specific inclusion and exclusion criteria. The research followed a qualitative descriptive approach with non-experimental and longitudinal design. A total of 379 faculty theses were analyzed through December 31, 2023, using keywords such as "bibliometric analysis," "economic sciences," "management," "digital transformation," "business sustainability," and "energy efficiency." The initial search identified 786 papers, which were refined for quality assurance. Bibliometric analysis was performed with VOSviewer and Bibliometrix R, facilitating the creation of scientific maps and exploration of citation patterns. Results showed that the most researched topics include digital transformation, sustainability, energy efficiency and business innovation. Influential authors and institutions within UNTRM were identified and major research trends were mapped, highlighting emerging areas and gaps in the current literature. These findings are significant for future research as they provide a basis for exploring new directions in economics and management sciences. This bibliometric analysis not only maps research streams and scholarly collaborations at UNTRM, but also promotes a deeper understanding of the dynamics in these key areas of study.
DOI: 10.5281/zenodo.12209150
title: Academic Research at UNTRM: Bibliometric Analysis in Economic and Administrative Sciences

description: Bibliometric analysis is crucial to assess research trends in disciplines such as economics and administrative sciences. This study aims to detail trends and developments in these areas at the Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), highlighting emerging themes and influential actors. A systematic bibliometric methodology was used to understand the scientific focus of the publications of the thesis students of the Faculty of Economics and Administrative Sciences of the UNTRM. Scopus documents were thoroughly reviewed, using specific inclusion and exclusion criteria. The research followed a qualitative descriptive approach with non-experimental and longitudinal design. A total of 379 faculty theses were analyzed through December 31, 2023, using keywords such as "bibliometric analysis," "economic sciences," "management," "digital transformation," "business sustainability," and "energy efficiency." The initial search identified 786 papers, which were refined for quality assurance. Bibliometric analysis was performed with VOSviewer and Bibliometrix R, facilitating the creation of scientific maps and exploration of citation patterns. Results showed that the most researched topics include digital transformation, sustainability, energy efficiency and business innovation. Influential authors and institutions within UNTRM were identified and major research trends were mapped, highlighting emerging areas and gaps in the current literature. These findings are significant for future research as they provide a basis for exploring new directions in economics and management sciences. This bibliometric analysis not only maps research streams and scholarly collaborations at UNTRM, but also promotes a deeper understanding of the dynamics in these key areas of study.
DOI: 10.15468/dl.w9s7ec
title: Occurrence Download

description: A dataset containing 1193468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2022-2024"
 ]
}

 The dataset includes 1193468 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088753-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kxbhk
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jacksonia quinkanensis Chappill)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088767-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fg94hr
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jacksonia pendens Chappill)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 158 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088768-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft5tpr
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sulla carnosa (Desf.) B.H.Choi & H.Ohashi)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088769-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zts8zs
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marsilea crenata C.Presl)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 363 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088770-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12207475
title: Jacobaea vulgaris and meadow image classification dataset (binary)

description: General Information

Instances in the Jacobaea vulgaris class: 895Instances in the Meadow class: 9141Image sizes from 77x77 to 817x817 pixels on three color channels (RGB)

 

Data Generation and Source

The images in this dataset were taken as part of the project “UAV-basiertes Grünlandmonitoring auf Bestands- und Einzelpflanzenebene” (engl. “UAV-based Grassland Monitoring at Population and Individual Plant Level”), financed by the Authority for Economy, Transport, and Innovation of Hamburg. In September 2018, flights with an octocopter were conducted over two extensively used grassland areas in the urban area of Hamburg. The multicopter flew in a height of circa 11 meters and took pictures with a ground resolution of approximately 3,18 mm/pixel. Additional information about the process of image generation for this dataset are to be found in the relevant papers written by P. Zacharias: 1) UAV-basiertes Grünland-Monitoring und Schadpflanzenkartierung mit offenen Geodaten [p. 45–53] and 2)  UAV-basiertes Grünlandmonitoring auf Bestands- und Einzelpflanzenebene.

Additionally, to the images of Jacobaea vulgaris taken by the UAV, the dataset includes images of Jacobaea vulgaris plants from the internet (included in the total 895 images; e.g. images 'jkk0523.jpg', 'jkk0527.jpg'). Furthermore, some of the images of the Jacobaea vulgaris plants have been rotated, further cropped or a filter has been applied. The exact number of augmentations made is unknown. As there are augmented images included in the datasets -which makes the dataset useful for training and validation- a use of the dataset for testing purposes is not recommended due to the risk of data leakage.

Data License

The dataset is licensed under the license CC BY 4.0. The attributor of the data is the Chair of Geodesy and Geoinformatics at the University of Rostock. The data was created within the scope of the project 'UAV-based Grassland Monitoring at Population and Individual Plant Level', financed by the Authority for Economy, Transport, and Innovation of Hamburg.
DOI: 10.5281/zenodo.12207476
title: Jacobaea vulgaris and meadow image classification dataset (binary)

description: General Information

Instances in the Jacobaea vulgaris class: 895Instances in the Meadow class: 9141Image sizes from 77x77 to 817x817 pixels on three color channels (RGB)

 

Data Generation and Source

The images in this dataset were taken as part of the project “UAV-basiertes Grünlandmonitoring auf Bestands- und Einzelpflanzenebene” (engl. “UAV-based Grassland Monitoring at Population and Individual Plant Level”), financed by the Authority for Economy, Transport, and Innovation of Hamburg. In September 2018, flights with an octocopter were conducted over two extensively used grassland areas in the urban area of Hamburg. The multicopter flew in a height of circa 11 meters and took pictures with a ground resolution of approximately 3,18 mm/pixel. Additional information about the process of image generation for this dataset are to be found in the relevant papers written by P. Zacharias: 1) UAV-basiertes Grünland-Monitoring und Schadpflanzenkartierung mit offenen Geodaten [p. 45–53] and 2)  UAV-basiertes Grünlandmonitoring auf Bestands- und Einzelpflanzenebene.

Additionally, to the images of Jacobaea vulgaris taken by the UAV, the dataset includes images of Jacobaea vulgaris plants from the internet (included in the total 895 images; e.g. images 'jkk0523.jpg', 'jkk0527.jpg'). Furthermore, some of the images of the Jacobaea vulgaris plants have been rotated, further cropped or a filter has been applied. The exact number of augmentations made is unknown. As there are augmented images included in the datasets -which makes the dataset useful for training and validation- a use of the dataset for testing purposes is not recommended due to the risk of data leakage.

Data License

The dataset is licensed under the license CC BY 4.0. The attributor of the data is the Chair of Geodesy and Geoinformatics at the University of Rostock. The data was created within the scope of the project 'UAV-based Grassland Monitoring at Population and Individual Plant Level', financed by the Authority for Economy, Transport, and Innovation of Hamburg.
DOI: 10.15468/dl.zzy4zy
title: Occurrence Download

description: A dataset containing 283886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juncus conglomeratus L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 283886 records from 1691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088755-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.