cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w77skw
title: Occurrence Download

description: A dataset listing the 38915 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset's 38915 records were derived from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030010-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5283/epub.59241
title: Data archive of "Microscopic study of the Josephson supercurrent diode effect in Josephson junctions based on two-dimensional electron gas"
DOI: 10.15468/dl.8278cx
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exerodonta bivocata (Duellman & Hoyt, 1961)"
 ]
}

 The dataset includes 87 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030019-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5283/epub.59236
title: Data archive of "Sign reversal of the Josephson inductance magnetochiral anisotropy and 0–π-like transitions in supercurrent diodes"
DOI: 10.5522/04/27100954
title: Datasets from article entitled: Understanding Defect Generation on CeO2 and its Utilization for Enhanced Metal-Support Interactions in Ni/CeO2 Catalysts for Improved CO2 Methanation Performance

description: Processed analytical and performance testing data provided thorough characterisation of the catalysts to understand the effect of structure on low temperature catalytic performance. These include XRD data, IR, X-Ray Absorption Fine Structure, CO2 hydrogenation data, chemisorption data and TPR. The data are arranged and labelled in the same order they appear in the paper.
DOI: 10.5522/04/27100954.v1
title: Datasets from article entitled: Understanding Defect Generation on CeO2 and its Utilization for Enhanced Metal-Support Interactions in Ni/CeO2 Catalysts for Improved CO2 Methanation Performance

description: Processed analytical and performance testing data provided thorough characterisation of the catalysts to understand the effect of structure on low temperature catalytic performance. These include XRD data, IR, X-Ray Absorption Fine Structure, CO2 hydrogenation data, chemisorption data and TPR. The data are arranged and labelled in the same order they appear in the paper.
DOI: 10.4121/90d13261-b0fe-444a-b408-c5a63db3d887
title: Dataset of trash and water segmentations in riverine environments

description: <br>***General Introduction***This dataset contains images of trash patches in riverine environments and corresponding segmentation of the trash, possible barriers and water.It is being made public both to act as supplementary data for publications of M. Don in her conference paper 'Foundation Model or Finetune? Evaluation offew-shot semantic segmentation for river pollution' and in order for other researchers to use this data in their own work.The data in this dataset was collected as part of the operations of The Ocean Cleanup between 2020 and 2023 and comes from multiple locations around the world and contains 300 images together with annotations of trash.<br>***Purpose of the data***The data was collected and annotated to research if estimations of trash loads can be made based on segmentation of that trash locations around riverswith the goal of assessing debris loads and debris loads dynamics in these rivers as well as assessing efficacy of the barriers and extraction operations.<br>***Description of the data in this data set***The data in the dataset has been organized in three folders:<br>-images. This contains 6 subfolders of the 6 locations from which the images are collected. each of these folders contains roughly 50 images in jpg format. There are mixed 5MP and 12MP camera images in different resolution from a range of timestamps per location.   - the name of the folder identifies the location, using identifiers 1-6   - the name of the image is set as: &lt;unix timestamp&gt;_&lt;iso timestamp&gt;_&lt;device serial&gt;.jpg-annotations. This folder contains the annotations in COCO format. It contains two files:   - annotation.json: all annotations in coco format.   - split_mapping.json: a file denoting how the dataset is split amongst the different train/test splits used in the paper by M. Don. The GitHub repository corresponding to the paper contains instructions on generating these splits.-pretrained_yolo_models. with the resulting yolo ultralytics models used in the conference paper.   - different_train_sizes: this contains all models trained with the different training/validation splits. naming train_training%.pt. so train10.pt means 10% of the dataset is used for training.   - generalization_loc6: models trained on loc1-loc5 and finetuned to location 6 according to train&lt;nr_images&gt;_epochs&lt;nr_epochs&gt;.pt   - trained_one_location: the models trained on only data from their respective locations in 80/20 split.
DOI: 10.4121/90d13261-b0fe-444a-b408-c5a63db3d887.v1
title: Dataset of trash and water segmentations in riverine environments

description: <br>***General Introduction***This dataset contains images of trash patches in riverine environments and corresponding segmentation of the trash, possible barriers and water.It is being made public both to act as supplementary data for publications of M. Don in her conference paper 'Foundation Model or Finetune? Evaluation offew-shot semantic segmentation for river pollution' and in order for other researchers to use this data in their own work.The data in this dataset was collected as part of the operations of The Ocean Cleanup between 2020 and 2023 and comes from multiple locations around the world and contains 300 images together with annotations of trash.<br>***Purpose of the data***The data was collected and annotated to research if estimations of trash loads can be made based on segmentation of that trash locations around riverswith the goal of assessing debris loads and debris loads dynamics in these rivers as well as assessing efficacy of the barriers and extraction operations.<br>***Description of the data in this data set***The data in the dataset has been organized in three folders:<br>-images. This contains 6 subfolders of the 6 locations from which the images are collected. each of these folders contains roughly 50 images in jpg format. There are mixed 5MP and 12MP camera images in different resolution from a range of timestamps per location.   - the name of the folder identifies the location, using identifiers 1-6   - the name of the image is set as: &lt;unix timestamp&gt;_&lt;iso timestamp&gt;_&lt;device serial&gt;.jpg-annotations. This folder contains the annotations in COCO format. It contains two files:   - annotation.json: all annotations in coco format.   - split_mapping.json: a file denoting how the dataset is split amongst the different train/test splits used in the paper by M. Don. The GitHub repository corresponding to the paper contains instructions on generating these splits.-pretrained_yolo_models. with the resulting yolo ultralytics models used in the conference paper.   - different_train_sizes: this contains all models trained with the different training/validation splits. naming train_training%.pt. so train10.pt means 10% of the dataset is used for training.   - generalization_loc6: models trained on loc1-loc5 and finetuned to location 6 according to train&lt;nr_images&gt;_epochs&lt;nr_epochs&gt;.pt   - trained_one_location: the models trained on only data from their respective locations in 80/20 split.
DOI: 10.5281/zenodo.10625957
title: Aligned DNA sequence matrix for phylogenetic analyses in the article "Two new species of Caecilia (Gymnophiona: Caeciliidae) from the Ecuadorian humid Chocó"

description: Aligned DNA sequence matrix for phylogenetic analyses of the article "Two new species of Caecilia (Gymnophiona: Caeciliidae) from the Ecuadorian humid Chocó"

The matrix is in NEXUS format and has 3259 bp and 24 terminals.

Partitions are as follows:

charset 12S_tRNA_Val = 1-582;

charset 16S_tRNA = 583-2289;

 

charset ND1_codonPos1 =  2291-3257\3;

charset ND1_codonPos2 =  2292-3258\3;

charset ND1_codonPos3 =  2290-3259\3;
DOI: 10.15468/dl.fban5d
title: Occurrence Download

description: A dataset containing 283115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "Year 2024-2024"
 ]
}

 The dataset includes 283115 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030016-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/ea47df39-c6b0-4d43-9db7-f82454f3383f
title: Gridded dataset of Winter Hardiness maps Europe

description: This dataset consists of 3 files with gridded data of the winterhardiness for the period 1991-2020.EU_WHZ.nc: contains winter hardiness classes gridded over Europe at a 0.1x0.1 degree gridNL_WHZ.nc: contains winter hardiness classes gridded over The Netherlands at a 0.1x0.1 degree grid, excluding local climate zone informationNL_WHZ_100m.nc: contains winter hardiness classes gridded over The Netherlands at a 0.1x0.1 degree grid, including local climate zone information
DOI: 10.4121/ea47df39-c6b0-4d43-9db7-f82454f3383f.v1
title: Gridded dataset of Winter Hardiness maps Europe

description: This dataset consists of 3 files with gridded data of the winterhardiness for the period 1991-2020.EU_WHZ.nc: contains winter hardiness classes gridded over Europe at a 0.1x0.1 degree gridNL_WHZ.nc: contains winter hardiness classes gridded over The Netherlands at a 0.1x0.1 degree grid, excluding local climate zone informationNL_WHZ_100m.nc: contains winter hardiness classes gridded over The Netherlands at a 0.1x0.1 degree grid, including local climate zone information
DOI: 10.15468/dl.hxag8f
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exerodonta melanomma (Taylor, 1940)"
 ]
}

 The dataset includes 561 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030020-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbkwvj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MWI",
 "TaxonKey is Disa engleriana Kraenzl."
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030021-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ukxnn
title: Occurrence Download

description: A dataset containing 3146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera leo (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 3146 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030022-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k2k8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Labeobarbus nelspruitensis (Gilchrist & Thompson, 1911)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023860-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15387655
title: Comparing LLM-based and MDE-based Code Generation for Agile MDE

description: # OCL to Kotlin & JavaScript Datasets for Code Generation Research


## Overview


This dataset supports research on **automated code generation from OCL (Object Constraint Language)** to two different programming languages: **Kotlin** and **JavaScript**. It was created and used as part of a publication named “Comparing LLM-based and MDE-based Code Generation for Agile MDE” on and is intended for continued research.

It includes:

- Parallel datasets of OCL and target-language code.

- Multiple training subsets for fine-tuning (ranging from ~165 to 1000+ cases), and the displayed datasets are part of the original datasets.

- Predictive metrics of the final fine-tuned models.

- Model behavior demonstration videos after training by using a same test dataset.


---

## Repository Structure


The uploaded files

├── README.md

├── OCLtoKotlinFine-tune/

  ├── 189case/

  ├── 487case/

  └── 1000+case/

└── OCLtoJavascriptFine-tune/

  ├── 165/

  ├── 500+/

  └── 1000+/


---


## Contents


### 1. OCLtoKotlin


- **PartofTrainingDataset/**: Contains aligned OCL and Kotlin code pairs.

- **predictmetrics/**: Files containing accuracy, BLEU score, and other evaluation results.

- **TestModelVideos/**: Recordings demonstrating model performance post-training.


Three different dataset sizes (189, 487, 1000+ cases) were used for iterative training.


---


### 2. OCLtoJavascript


Same structure as above, but targeting JavaScript as the output language.

- Dataset size grows from 165 to 500+ and 1000+ samples.

- Some subsets include **FirstTime** and **SecondTime** training sessions for comparative evaluation by changing the fine-tune parameters using same training dataset.


---


## Usage


This dataset is intended for:

- Training and evaluating code generation models.

- Comparative analysis of model behavior on increasing dataset sizes.

- Display the experiment dataset and results in the associated workshop paper.


---
DOI: 10.5281/zenodo.15387656
title: Comparing LLM-based and MDE-based Code Generation for Agile MDE

description: # OCL to Kotlin & JavaScript Datasets for Code Generation Research


## Overview


This dataset supports research on **automated code generation from OCL (Object Constraint Language)** to two different programming languages: **Kotlin** and **JavaScript**. It was created and used as part of a publication named “Comparing LLM-based and MDE-based Code Generation for Agile MDE” on and is intended for continued research.

It includes:

- Parallel datasets of OCL and target-language code.

- Multiple training subsets for fine-tuning (ranging from ~165 to 1000+ cases), and the displayed datasets are part of the original datasets.

- Predictive metrics of the final fine-tuned models.

- Model behavior demonstration videos after training by using a same test dataset.


---

## Repository Structure


The uploaded files

├── README.md

├── OCLtoKotlinFine-tune/

  ├── 189case/

  ├── 487case/

  └── 1000+case/

└── OCLtoJavascriptFine-tune/

  ├── 165/

  ├── 500+/

  └── 1000+/


---


## Contents


### 1. OCLtoKotlin


- **PartofTrainingDataset/**: Contains aligned OCL and Kotlin code pairs.

- **predictmetrics/**: Files containing accuracy, BLEU score, and other evaluation results.

- **TestModelVideos/**: Recordings demonstrating model performance post-training.


Three different dataset sizes (189, 487, 1000+ cases) were used for iterative training.


---


### 2. OCLtoJavascript


Same structure as above, but targeting JavaScript as the output language.

- Dataset size grows from 165 to 500+ and 1000+ samples.

- Some subsets include **FirstTime** and **SecondTime** training sessions for comparative evaluation by changing the fine-tune parameters using same training dataset.


---


## Usage


This dataset is intended for:

- Training and evaluating code generation models.

- Comparative analysis of model behavior on increasing dataset sizes.

- Display the experiment dataset and results in the associated workshop paper.


---
DOI: 10.15468/dl.mn89td
title: Occurrence Download

description: A dataset containing 128936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudotsuga menziesii (Mirb.) Franco"
 ]
}

 The dataset includes 128936 records from 1077 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023855-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wsbkq
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guettarda heterosepala Guillaumin"
 ]
}

 The dataset includes 51 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015855-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tlbu7j
title: Occurrence Download

description: A dataset containing 9618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dactyloctenium aegyptium (L.) Willd.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9618 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023326-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6edg6v
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Delphinium dictyocarpum DC."
 ]
}

 The dataset includes 85 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vmeek
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Argentina",
 "Country is Peru",
 "Country is Brazil",
 "Country is Colombia",
 "Country is Ecuador",
 "Country is Venezuela (Bolivarian Republic of)"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Epicrates cenchria (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023327-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uft4s
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sperosoma grimaldii Koehler, 1897",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 111 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075058-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbwgpb
title: Occurrence Download

description: A dataset containing 14541771 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Southern African Bird Atlas Project 2"
 ]
}

 The dataset includes 14541771 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0151095-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt7rov
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Canada",
 "Country is United States of America",
 "Country is Argentina",
 "Country is Chile"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Vahlodea Fr.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 343 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023327-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wudhxn
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zygogynum baillonii Tiegh."
 ]
}

 The dataset includes 189 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142320-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv3jzm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia itingae E.L.Jacques"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142324-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsdgu9
title: Occurrence Download

description: A dataset containing 1001 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halosaurus ovenii Johnson, 1864"
 ]
}

 The dataset includes 1001 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142322-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chf4d2
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthurium albispadix (Croat & J.Rodr.) Croat & O.Ortiz"
 ]
}

 The dataset includes 104 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142321-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9cx86
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Lampropeltis micropholis Cope, 1860"
 ]
}

 The dataset includes 300 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075148-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.