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

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parathesis rufa Lundell)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017429-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asbd2m
title: Occurrence Download

description: A dataset listing the 1101556 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plantae"
 ]
}

 The dataset's 1101556 records were derived from 17062 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017416-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1592
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Illizi, Algeria

description: Qualitative dataset of the Site 'Illizi' collected by Mohamed Djamel Miara in Algeria. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.fm5ntn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chilades pandava",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019632-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmf49u
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Grapholita funebrana"
 ]
}

 The dataset includes 62 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019633-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1593
title: Surveys dataset of Local Indicators of Climate Change Impacts in Illizi, Algeria

description: Quantitative dataset of the Site 'Illizi' collected by Mohamed Djamel Miara in Algeria. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.5281/zenodo.15520639
title: Functional stability despite structural changes in freshwater biofilm communities exposed to an antibiotic and an herbicide – the role of nutrient conditions

description: This dataset features data of the associated study published in FEMS Microbiology Ecology (https://doi.org/10.1093/femsec/fiaf094). 

To reproducibly run the code you should download the entire .zip archive and open the *.RProj file ideally with the same R version (4.3.2). To achieve maximum reproducibility of the code you should run renv::restore() to restore the packages recorded in renv.lock.
DOI: 10.34810/data1594
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Kenya, South Coast, Kenya

description: Qualitative dataset of the Site 'Kenya, South Coast' collected by Mouna Chambon in Kenya. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.sjusz4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019635-250920141307145/datasets/export for details.
DOI: 10.15468/dl.tfvng5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019634-250920141307145/datasets/export for details.
DOI: 10.15468/dl.8b9r4c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019636-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17209053
title: Results
DOI: 10.5281/zenodo.17209054
title: Results
DOI: 10.5281/zenodo.17208969
title: Datasets and results presented in the paper:"A semi-supervised approach to multi-label classification of NOTAMs using BERT"

description: Data:

labelled_dataset.xlsx: NOTAMs labelled with the multi-label system presented in "A semi-supervised approach to multi-label classification of NOTAMs using BERT"

unlabelled_dataset.xlsx: remaining non labelled NOTAMs

test_dataset.xlsx: NOTAMs used for testing the model (a subset of the labelled dataset).

test_dataset_zeroshot: the test_dataset including an additional column based on the outputs of LLaMa 3.1-7B when asked to assign labels to the NOTAMs. 

Csvs:

train.csv: labelled NOTAMs used for training in the needed format for the model.

test_predictions_bert_model2MERGED.csv: predictions of the BERT model on the test_dataset.

test_predictions_mixmatch_bert_model2MERGED (2).csv : predictions of the retrained BERT model on the test_dataset.
DOI: 10.5281/zenodo.17208970
title: Datasets and results presented in the paper:"A semi-supervised approach to multi-label classification of NOTAMs using BERT"

description: Data:

labelled_dataset.xlsx: NOTAMs labelled with the multi-label system presented in "A semi-supervised approach to multi-label classification of NOTAMs using BERT"

unlabelled_dataset.xlsx: remaining non labelled NOTAMs

test_dataset.xlsx: NOTAMs used for testing the model (a subset of the labelled dataset).

test_dataset_zeroshot: the test_dataset including an additional column based on the outputs of LLaMa 3.1-7B when asked to assign labels to the NOTAMs. 

Csvs:

train.csv: labelled NOTAMs used for training in the needed format for the model.

test_predictions_bert_model2MERGED.csv: predictions of the BERT model on the test_dataset.

test_predictions_mixmatch_bert_model2MERGED (2).csv : predictions of the retrained BERT model on the test_dataset.
DOI: 10.34810/data1595
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Cabrales, Spain

description: Qualitative dataset of the Site 'Cabrales' collected by Petra Benyei in Spain. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.6gx6cy
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curetis acuta",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 294 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019637-250920141307145/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.29614709
title: Error mitigation with stabilized noise in superconducting quantum processors

description: data to reproduce main figure of the manuscript titled: "Error mitigation with stabilized noise in superconducting quantum processors"
DOI: 10.6084/m9.figshare.29614709.v1
title: Error mitigation with stabilized noise in superconducting quantum processors

description: data to reproduce main figure of the manuscript titled: "Error mitigation with stabilized noise in superconducting quantum processors"
DOI: 10.5281/zenodo.17208997
title: Advancing Emotional Intelligence

description: This is a compilation of years of experiments and research
DOI: 10.5281/zenodo.17208998
title: Advancing Emotional Intelligence

description: This is a compilation of years of experiments and research
DOI: 10.5281/zenodo.14073311
title: Dataset (active) - The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution

description: %%%% 26/09/2025 - NOTE: This entry only includes the active measurements conducted in the following work. 

The passive measurements can be found in https://doi.org/10.5281/zenodo.17208870

 

The present dataset is open-sourced with the paper "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution".

The paper is authored by Giuseppe Caso, Mohammad Rajiullah, Konstantinos Kousias, Usman Ali, Nadir Bouzar, Luca De Nardis, Anna Brunstrom, Ozgu Alay, Marco Neri, and Maria-Gabriella Di Benedetto

If you use the dataset for your own research activities and publications, please consider citing the paper as follows: 

G. Caso et al., "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution,"  IEEE Open Journal of the Communications Society(IEEE OJ-COMS), pp. 1-21, 2024.

@article{caso2024chronicles, title={{The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution}}, author={Caso, G. and Rajiullah, M. and Kousias, K. and Ali, U. and Bouzar, N. and De Nardis, L. and Brunstrom, A. and Alay, O. and Neri, M. and Di Benedetto, M.-G.}, journal={IEEE Open Journal of the Communications Society},pages={1--21}, year={2024}, publisher={IEEE}}

A detailed description of the dataset is provided in the paper, and the README file provides additional details.

In the paper, an in-depth performance analysis of 5G performance is carried out, also exploiting a dataset previously collected and open-sourced at https://zenodo.org/records/8224890, and fully described in the following publication:

@article{kousias2023large, title={{A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements}}, author={Kousias, K. and Rajiullah, M. and Caso, G. and Ali, U. and Alay, O. and Brunstrom, A. and De Nardis, L. and Neri, M. and Di Benedetto, M.-G.},journal={IEEE Communications Magazine},volume = {62},number = {5},pages={44--49},year={2024},publisher={IEEE}}

Contact Giuseppe Caso (giuseppe.caso@kau.se) for more information on the dataset(s) and potential access to additional data.
DOI: 10.5281/zenodo.14073310
title: Dataset (active) - The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution

description: %%%% 26/09/2025 - NOTE: This entry only includes the active measurements conducted in the following work. 

The passive measurements can be found in https://doi.org/10.5281/zenodo.17208870

 

The present dataset is open-sourced with the paper "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution".

The paper is authored by Giuseppe Caso, Mohammad Rajiullah, Konstantinos Kousias, Usman Ali, Nadir Bouzar, Luca De Nardis, Anna Brunstrom, Ozgu Alay, Marco Neri, and Maria-Gabriella Di Benedetto

If you use the dataset for your own research activities and publications, please consider citing the paper as follows: 

G. Caso et al., "The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution,"  IEEE Open Journal of the Communications Society(IEEE OJ-COMS), pp. 1-21, 2024.

@article{caso2024chronicles, title={{The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution}}, author={Caso, G. and Rajiullah, M. and Kousias, K. and Ali, U. and Bouzar, N. and De Nardis, L. and Brunstrom, A. and Alay, O. and Neri, M. and Di Benedetto, M.-G.}, journal={IEEE Open Journal of the Communications Society},pages={1--21}, year={2024}, publisher={IEEE}}

A detailed description of the dataset is provided in the paper, and the README file provides additional details.

In the paper, an in-depth performance analysis of 5G performance is carried out, also exploiting a dataset previously collected and open-sourced at https://zenodo.org/records/8224890, and fully described in the following publication:

@article{kousias2023large, title={{A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements}}, author={Kousias, K. and Rajiullah, M. and Caso, G. and Ali, U. and Alay, O. and Brunstrom, A. and De Nardis, L. and Neri, M. and Di Benedetto, M.-G.},journal={IEEE Communications Magazine},volume = {62},number = {5},pages={44--49},year={2024},publisher={IEEE}}

Contact Giuseppe Caso (giuseppe.caso@kau.se) for more information on the dataset(s) and potential access to additional data.
DOI: 10.15468/dl.9t4z5v
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 738 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019638-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwwfcd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus lanatus",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019639-250920141307145/datasets/export for details.
DOI: 10.34810/data1596
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Ba, Fiji, Fiji

description: Qualitative dataset of the Site 'Ba, Fiji' collected by Priyatma Singh in Fiji. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.dxgtv7
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Deudorix epijarbas",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 623 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17206406
title: Dataset from "Disentangling the Effects of Curvature and Misorientation on the Shrinkage Behavior of Loop-Shaped Grain Boundaries"

description: Dataset from simulations and experiments of the article "Disentangling the Effects of Curvature and Misorientation on the Shrinkage Behavior of Loop-Shaped Grain Boundaries".  DOI: 10.1103/krvx-hbt3
DOI: 10.5281/zenodo.17206407
title: Dataset from "Disentangling the Effects of Curvature and Misorientation on the Shrinkage Behavior of Loop-Shaped Grain Boundaries"

description: Dataset from simulations and experiments of the article "Disentangling the Effects of Curvature and Misorientation on the Shrinkage Behavior of Loop-Shaped Grain Boundaries".  DOI: 10.1103/krvx-hbt3
DOI: 10.34810/data1597
title: Surveys dataset of Local Indicators of Climate Change Impacts in Ba, Fiji, Fiji

description: Quantitative dataset of the Site 'Ba, Fiji' collected by Priyatma Singh in Fiji. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 2st - quantitative part of a 2 part dataset. Quantitative data collection includes household-level surveys with up to 125 randomly selected households and individual-level surveys of up to 175 individuals chosen by convenience sampling. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)
DOI: 10.15468/dl.c6z38v
title: Occurrence Download

description: A dataset containing 10925809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 2019"
 ]
}

 The dataset includes 10925809 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019551-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aufvxw
title: Occurrence Download

description: A dataset containing 28003 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tsuga heterophylla"
 ]
}

 The dataset includes 28003 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019642-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/shvwwa
title: Holwierde Bansumerweg 31-33

description: &lt;p&gt;Aanleiding tot de hier beschreven opgraving, variant begeleiding was de sloop en herbouw van een twee-onder-een-kapwoning met schuren aan de Bansumerweg 31 en 33. Bij aanvang van het archeologische opgraving waren de bestaande woningen met schuren reeds gesloopt. De nieuwe woningen en schuren zijn inmiddels herbouwd op dezelfde kavels. De sporen en vondsten die tijdens het hier beschreven archeologische onderzoek zijn aangetroffen, kunnen gerelateerd worden aan de bewoning op de wierde Bansum. Bansum is n van de drie wierden die samen het dorp Holwierde vormen. Holwierde maakt deel uit van een kwelderwal waarop een rij van wierden ligt, namelijk Zeerijp, Godlinze, Spijk en Bierum. Tijdens het onderzoek zijn perceelsloten, PAALGATen, kuilen en een pakket ophoog- en wierdelagen aangetroffen. Er zijn archeologische resten in de vorm van aardewerk, bouwkeramiek, glas, metaal en dierlijk botmateriaal gevonden. Het onderzoeksgebied wordt doorsneden door twee perceelsloten die zichtbaar zijn op de Kadastrale Minuut van 1811-1832. In de sloot is vondstmateriaal uit de late middeleeuwen en nieuwe tijd aangetroffen, die doen vermoeden dat de sloten een oorsprong in de late middeleeuwen hebben. De sloten zijn dwars door het wierdepakket heen gegraven, waarin resten uit de Romeinse tijd tot en met de nieuwe tijd zijn gevonden. Verder zijn er PAALGATen, waarvan n mogelijk in de late middeleeuwen dateert en behoort tot een structuur uit die periode. De overige PAALGATen zijn waarschijnlijk recenter van datum. De kuilen dateren waarschijnlijk allen uit de recente nieuwe tijd, met uitzondering van een kuil die onder een wierdelaag met kogelpotaardewerk uit de late middeleeuwen lag. In totaal zijn 278 vondsten verzameld, waarvan er 230 zijn geselecteerd voor uitwerking. Het gaat om handgevormd en gedraaid aardewerk uit de Romeinse tijd, middeleeuwen en nieuwe tijd. De glasvondsten dateren zonder uitzondering in de nieuwe tijd. De metaalvondsten dateren van de vroege middeleeuwen tot en met de recente nieuwe tijd (Tweede Wereldoorlog). Het dierlijk botmateriaal kon alleen in samenhang met andere vondsten gedateerd worden en dateert in de late middeleeuwen en nieuwe tijd.&lt;/p&gt;
DOI: 10.15468/dl.untbap
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Antirrhinum majus",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019643-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1600
title: Qualitative dataset of Local Indicators of Climate Change Impacts in Inner Mongolia, China

description: Qualitative dataset of the Site 'Inner Mongolia' collected by Rihan Wu in China. This dataset was collected in the context of the ERC funded project: LICCI - Local Indicators of Climate Change Impacts (The contribution of local knowledge to climate change research). It includes the 1st - qualitative part of a 2 part dataset Qualitative data collection involves first conducting semi-structured interviews to gather community insights, followed by using focus group discussions to validate and identify new observations. More information on the project at https://licci.eu
description: LICCI Data Collection application / https://gitlab.com/licci/opentek_fe, v0.6.18 (partner)