cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rpgjm2
title: Occurrence Download

description: A dataset containing 144290 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Draba stenocarpa, Draba tibetica, Draba winterbottomii, Dracaena angustifolia, Dracaena petiolata, Dracaena spicata, Dracocephalum bipinnatum, Dracocephalum breviflorum, Dracocephalum heterophyllum, Dracocephalum heterophyllum, Dracocephalum nutans, Dracocephalum stamineum, Dracocephalum tanguticum, Dracocephalum wallichii, Dracocephalum wallichii platyanthum, Dracontomelon dao, Dregea volubilis, Dregea yunnanensis, Drepanostachyum ampullare, Drepanostachyum annulatum, Drepanostachyum falcatum, Drepanostachyum intermedium, Drepanostachyum khasianum, Drepanostachyum polystachyum, Drepanostachyum semiorbiculatum, Drimia indica, Drimycarpus racemosus, Drosera burmanni, Drosera peltata, Drymaria cordata, Drymaria villosa, Drypetes assamica, Drypetes indica, Drypetes subsessilis, Drypetes venusta, Duabanga grandiflora, Dubyaea cymiformis, Dubyaea gombalana, Dubyaea hispida, Dubyaea oligocephala, Dubyaea stebbinsii, Duchesnea chrysantha, Duchesnea indica, Duchesnea indica microphylla, Duhaldea cappa, Duhaldea eupatorioides, Duhaldea nervosa, Duhaldea simonsii, Dumasia forrestii, Dumasia villosa, Dunbaria circinalis, Dunbaria debilis, Dunbaria punctata, Duthiea brachypodium, Duthiea brachypodium, Duthiea bromoides, Dysolobium grande, Dysolobium lucens, Dysolobium pilosum, Dysolobium pilosum, Dysophylla stellata, Dysosma aurantiocaulis, Dysosma tsayuensis, Dysoxylum excelsum, Dysoxylum gotadhora, Dysoxylum grande, Dysoxylum mollissimum, Dysoxylum pallens, Dysphania botrys, Dysphania schraderiana, Ecbolium ligustrinum, Echinacanthus attenuatus, Echinochloa crus-galli crus-galli, Echinochloa crus-pavonis, Echinochloa frumentacea, Echinochloa glabrescens, Echinochloa picta, Echinochloa stagnina, Echinops cornigerus, Echinops echinatus, Echinops niveus, Edgaria darjeelingensis, Edgeworthia gardneri, Ehretia acuminata, Ehretia dicksonii, Ehretia laevis, Ehretia macrophylla, Ehretia microphylla, Ehretia psilosiphon, Ehretia wallichiana, Elaeagnus caudata, Elaeagnus conferta, Elaeagnus henryi, Elaeagnus infundibularis, Elaeagnus kanaii, Elaeagnus lanceolata, Elaeagnus lanpingensis, Elaeagnus latifolia, Elaeagnus parvifolia, Elaeagnus pyriformis)"
 ]
}

 The dataset includes 144290 records from 1422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011043-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78uznb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Fish Collection",
 "TaxonKey is Cottus confusus Bailey & Bond, 1963"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014388-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/6681
title: SSL4EO-S12-v1.1
DOI: 10.15468/dl.rerf3f
title: Occurrence Download

description: A dataset containing 20549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Colias phicomone"
 ]
}

 The dataset includes 20549 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022027-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kcb3d
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eriochloa sericea"
 ]
}

 The dataset includes 652 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022029-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcx89z
title: Occurrence Download

description: A dataset containing 40315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Year 2020-2020"
 ]
}

 The dataset includes 40315 records from 418 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022028-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-dc-2345154341
title: Post-Processed Data: Revealing 3D Strain and Carbide Architectures in Additively Manufactured Ni Superalloys

description: This deposit supports an article currently in preparation: Revealing 3D Strain and Carbide Architectures in Additively Manufactured Ni Superalloys

This deposit contains the following:

- Processed S3DXRD data, individual layers
- Per-layer data reduction notebooks

This deposit does not contain:

- Raw S3DXRD data
- Code (Jupyter notebooks) required to merge individual Scanning 3D X-Ray Diffraction (S3DXRD) layers into a complete volume
- The final merged S3DXRD data volume
- Code (Jupyter notebooks and MATLAB [MTEX]) required to perform complete-volume analysis of S3DXRD data
- Associated orientation analysis data generated by the above
- Code (Jupyter notebooks) required to generate the figures for the article.

Raw S3DXRD data can be found in the external reference URLs - the ESRF Data Portal DOIs.
The aforementioned post-processing code can be found in the Zenodo DOI.
DOI: 10.5281/zenodo.18660738
title: ChatGPT CLONE MANAGEMENT SYSTEM.

description: In recent years, natural language processing (NLP) and artificial intelligence (AI) have made remarkable advancements in enabling machines to understand and generate human-like text. Chatbots and conversational agents have become integral parts of various applications, from customer support to virtual assistants. This project focuses on the development of a ChatGPT clone, an AI-based conversational agent, with the aim of exploring its capabilities, customization, and potential applications. The ChatGPT Clone project is motivated by the growing demand for intelligent conversational agents that can understand and generate human-like text. ChatGPT, the original model, has set a benchmark in the field of AI-based chatbots. This project aims to create a similar system with customization and scalability in mind, allowing developers to adapt it for various domains and applications.
DOI: 10.5281/zenodo.18660737
title: ChatGPT CLONE MANAGEMENT SYSTEM.

description: In recent years, natural language processing (NLP) and artificial intelligence (AI) have made remarkable advancements in enabling machines to understand and generate human-like text. Chatbots and conversational agents have become integral parts of various applications, from customer support to virtual assistants. This project focuses on the development of a ChatGPT clone, an AI-based conversational agent, with the aim of exploring its capabilities, customization, and potential applications. The ChatGPT Clone project is motivated by the growing demand for intelligent conversational agents that can understand and generate human-like text. ChatGPT, the original model, has set a benchmark in the field of AI-based chatbots. This project aims to create a similar system with customization and scalability in mind, allowing developers to adapt it for various domains and applications.
DOI: 10.15468/dl.xydjve
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lecanora varia",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 235 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022031-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jjs7w
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rock ptarmigan (Lagopus muta) radio telemetry in Lierne, Norway"
 ]
}

 The dataset includes 378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022030-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/wqxlxx
title: Data Management and Sharing Plan for: The National Dementia Workforce Study

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.34740/kaggle/dsv/14858337
title: ChatGPT CLONE MANAGEMENT SYSTEM.
DOI: 10.5281/zenodo.18660766
title: DEVELOPING COMMUNICATIVE COMPETENCIES IN LANGUAGE LEARNING

description: This article discusses methods for developing communicative competencies in language learning, improving learners' communicative skills, and enhancing their speech abilities while studying languages. The article examines strategies to foster vocabulary, speech accuracy, and effective interaction in both oral and written communication. It also highlights the significance of interactive and contextual approaches in language teaching to prepare learners for real-life communication.
DOI: 10.5281/zenodo.18660765
title: DEVELOPING COMMUNICATIVE COMPETENCIES IN LANGUAGE LEARNING

description: This article discusses methods for developing communicative competencies in language learning, improving learners' communicative skills, and enhancing their speech abilities while studying languages. The article examines strategies to foster vocabulary, speech accuracy, and effective interaction in both oral and written communication. It also highlights the significance of interactive and contextual approaches in language teaching to prepare learners for real-life communication.
DOI: 10.5281/zenodo.18659760
title: 2025_1210_1212_exometabolomics_infestans_prodigiosin_timecourse_adaptative
DOI: 10.5281/zenodo.18659759
title: 2025_1210_1212_exometabolomics_infestans_prodigiosin_timecourse_adaptative
DOI: 10.15468/dl.kwmnje
title: Occurrence Download

description: A dataset containing 2557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eriochloa villosa"
 ]
}

 The dataset includes 2557 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022033-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18659985
title: City-scale flood hazard datasets modelled with FASTFLOOD

description: This data repository contains the modelled outputs produced from FastFlood hazard app for six cities. Here you can find six csv files, one for each city, containing the following information:

Each row specifies the cell’s central coordinates (longitude and latitude) along with its bounding box (lon_min, lon_max, lat_min, lat_max). The flood_hazard field reports the modelled hazard category for that location, in terms of flood depth.

The metadata description and the documentation of the FastFlood model settings and input data can be also be found in this repository. Details of the modelling processes can be found here: https://www.researchsquare.com/article/rs-6956238/v1 (Preprint).

A few observations: 1) TAHMO precipitation data were throughtly analysed, based on data completeness, DFO and media reports to decide upon the flood event to be selected. The data can be shared upon request; 2) For Harare, the global Fastflood option was used, without any local input; 3) the resolution of each dataset is 100x100m to follow the practices and the platform requirement of the Ideamaps Data Ecosystem. All datasets can be visualized in the platform, where local stakeholder have been using to validate the results.
DOI: 10.5281/zenodo.18659986
title: City-scale flood hazard datasets modelled with FASTFLOOD

description: This data repository contains the modelled outputs produced from FastFlood hazard app for six cities. Here you can find six csv files, one for each city, containing the following information:

Each row specifies the cell’s central coordinates (longitude and latitude) along with its bounding box (lon_min, lon_max, lat_min, lat_max). The flood_hazard field reports the modelled hazard category for that location, in terms of flood depth.

The metadata description and the documentation of the FastFlood model settings and input data can be also be found in this repository. Details of the modelling processes can be found here: https://www.researchsquare.com/article/rs-6956238/v1 (Preprint).

A few observations: 1) TAHMO precipitation data were throughtly analysed, based on data completeness, DFO and media reports to decide upon the flood event to be selected. The data can be shared upon request; 2) For Harare, the global Fastflood option was used, without any local input; 3) the resolution of each dataset is 100x100m to follow the practices and the platform requirement of the Ideamaps Data Ecosystem. All datasets can be visualized in the platform, where local stakeholder have been using to validate the results.
DOI: 10.15468/dl.4z2nb6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lecanora lojkaeana",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022036-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vztk66
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Souroubea loczyi"
 ]
}

 The dataset includes 495 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022034-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndk9am
title: Occurrence Download

description: A dataset containing 2239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Helosciadium repens"
 ]
}

 The dataset includes 2239 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022035-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18660600
title: Fungarium Sequencing Project Consortium - Phase 1 Members - 2024-2026

description: This dataset provides a comprehensive directory of participants involved in Phase 1 of the Fungarium Sequencing Project (FSP), conducted between 2024 and 2026. It details the specific roles and contributions of individuals from the three primary partner institutions: 








Royal Botanic Gardens, Kew 










Natural History Museum, London 










Royal Botanic Garden Edinburgh 









 

Authorship and Attribution 




The contributor list includes both current and former members of the FSP. In accordance with project governance, the authorship is structured as follows: 








Lead Authors: The Principal Investigator (PI) and co-Investigators are listed as first authors. 










Contributing Authors: All other participants are listed in alphabetical order. 










Senior Author: The Chief Scientific Officer (CSO) is listed as the final author. 






For further context regarding the project's scope and scientific objectives, please visit the official FSP project page.
DOI: 10.5281/zenodo.18622849
title: Fungarium Sequencing Project Consortium - Phase 1 Members - 2024-2026

description: This dataset provides a comprehensive directory of participants involved in Phase 1 of the Fungarium Sequencing Project (FSP), conducted between 2024 and 2026. It details the specific roles and contributions of individuals from the three primary partner institutions: 








Royal Botanic Gardens, Kew 










Natural History Museum, London 










Royal Botanic Garden Edinburgh 









 

Authorship and Attribution 




The contributor list includes both current and former members of the FSP. In accordance with project governance, the authorship is structured as follows: 








Lead Authors: The Principal Investigator (PI) and co-Investigators are listed as first authors. 










Contributing Authors: All other participants are listed in alphabetical order. 










Senior Author: The Chief Scientific Officer (CSO) is listed as the final author. 






For further context regarding the project's scope and scientific objectives, please visit the official FSP project page.
DOI: 10.25835/nu70ehxy
title: Detection Framework and Listening-Test Platform for the Identification of Wind Turbine Noise in Long-Term Field Measurements

description: The reliable identification of acoustically dominant wind turbine noise (WTN) in long-term field measurements is a key prerequisite for analysing source-specific noise characteristics and sound propagation under real atmospheric conditions. To address this requirement, a two-stage framework for identifying WTN-dominated time periods and specific WTN-components was developed.

In Stage 1, time intervals dominated by wind turbine noise are identified by combining statistical preselection criteria, turbine operating data, and a physics-based signal analysis that relates detected modulation frequencies to blade-passing harmonics. In Stage 2, the selected intervals are further analysed to identify specific WTN components, including rotor-induced amplitude modulation, tonal components, and high-frequency whistling noise. For validation, a structured listening test was designed in which WTN components and relevant competing noise sources can be classified. Based on the listening-test results, a perceptual, consensus-based reference dataset can be derived and used for comparison with identification methods. 

To support further research, the two-stage framework and the listening-test platform are provided in accordance with the FAIR data principles (Findable, Accessible, Interoperable, Reusable). Due to legal restrictions, the authors are not permitted to publish the original measured sound pressure levels or unmodified audio recordings. However, anonymized and level-modified audio signals are provided for demonstration purposes. It is explicitly emphasized that these signals do not represent the original measured sound pressure levels. To conduct a comprehensive listening test, users must provide their own audio recordings and adapt them to the listening test framework.

For further information, it is referred to "Könecke, S., Jonscher, C., Bohne, T. and Rolfes, R. (2026): A Two-Stage Framework for Identifying and Characterising Wind Turbine Noise Data and Its Validation by Listening Tests. Submitted to Wind Energy Science." 

The project WEA-Akzeptanz (FKZ 0324134A) and WEA-Akzeptanz-Data (FKZ 03EE3062) was funded by the German Federal Ministry for Economic Affairs and Energy (BMWi).
DOI: 10.15468/dl.an42vj
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lecanora farinaria",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 152 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022037-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74xu25
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Euclasta condylotricha"
 ]
}

 The dataset includes 920 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022038-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2byhe
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buteo buteo buteo",
 "Year 2021-2021"
 ]
}

 The dataset includes 373 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022039-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18629298
title: PUU: an Excel macro

description: Tree ring data provide detailed information on arboreal growth variability and reactions to management and environmental changes. Such dendrochronological datasets may be quite large containing timeseries from tens to hundreds or thousands of trees and require software or programmed script to be processed and analyzed. This paper presents an Excel macro designed for production of age-standardized (i.e. detrended) tree-ring data from ‘raw’ measurement series. The macro is globally applicable to cross-dated tree-ring data. The modules included in the macro focus on methods retaining the long-timescale growth variability and the original scale of raw growth measurements, which may both be lost when the traditional tree-ring standardization methods are applied to dendrochronological datasets. The macro allows to combine the methods transforming the raw data into dimensionless indices (including the family of regional-curve-standardization, power-transformation or signal-free methods) with age-standardization and back-transformation methods resulting in processed tree-ring datasets with original growth units. These methods are anticipated to be beneficial for forest research where estimation of absolute rather than relative change in growth is commonly demanded. Familiarity of Excel by the researchers and students is expected to allow wide accessibility to the macro.