cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ch8kra
title: Occurrence Download

description: A dataset containing 34114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Tyto alba",
 "Year 2020-2025"
 ]
}

 The dataset includes 34114 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013747-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm5qr7
title: Occurrence Download

description: A dataset containing 65724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pulsatilla alpina"
 ]
}

 The dataset includes 65724 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013667-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eb8am
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zygogynum crassifolium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 128 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013749-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px7zky
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.51618 -38.71588,67.9 -38.71588,67.9 32.27347,22.51618 32.27347,22.51618 -38.71588))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carcharhinus melanopterus"
 ]
}

 The dataset includes 409 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013748-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60534/gmjby-sgw35
title: Live-cell imaging enables reporter-free monitoring of the circadian rhythm in individual Synechocystis cells

description: In vivo monitoring of circadian rhythms depends on reliable and non-invasive detection methods. This is often achieved by expressing reporter genes heterologously under the control of a circadian promoter. The activity or fluorescence of the gene product is then used as a readout. To avoid the need for generation of such reporter strains, we recently established a reporter-free detection method for cyanobacterial batch cultures. To determine whether these rhythms are driven at the level of individual cells or result from population-based effects, such as gating of cell division, we analyzed individual Synechocystis sp. PCC 6803 cells by combining a microfluidic cultivation technique with multipoint time-lapse microscopy imaging at the single-cell resolution. Hundreds of time-lapse image sequences, acquired over a period of up to ten days, were processed using our deep learning cell segmentation workflow. Although the cells had been entrained by a 12-hour light-dark cycle, neither cell size nor cell division displayed circadian rhythms. This indicates the absence of circadian gating of cell division in Synechocystis. Instead, we observed circadian oscillation in the average brightness of the phase contrast of individual Synechocystis cells. To demonstrate how phase-contrast analysis of single cells can be complemented by backscatter analysis of batch cultures, we investigated the wildtype, a deletion mutant known to affect circadian rhythms (∆kaiC3) and complementation strains at both, the single-cell and batch levels. We concluded that phase contrast and backscatter likely measured the same rhythmic changes in the refractive index of the cells. The method presented here will advance circadian research by enabling the analysis of circadian rhythms in individual cells without the need for expression of reporter molecules.
DOI: 10.60534/w3pyw-ds524
title: Live-cell imaging enables reporter-free monitoring of the circadian rhythm in individual Synechocystis cells

description: In vivo monitoring of circadian rhythms depends on reliable and non-invasive detection methods. This is often achieved by expressing reporter genes heterologously under the control of a circadian promoter. The activity or fluorescence of the gene product is then used as a readout. To avoid the need for generation of such reporter strains, we recently established a reporter-free detection method for cyanobacterial batch cultures. To determine whether these rhythms are driven at the level of individual cells or result from population-based effects, such as gating of cell division, we analyzed individual Synechocystis sp. PCC 6803 cells by combining a microfluidic cultivation technique with multipoint time-lapse microscopy imaging at the single-cell resolution. Hundreds of time-lapse image sequences, acquired over a period of up to ten days, were processed using our deep learning cell segmentation workflow. Although the cells had been entrained by a 12-hour light-dark cycle, neither cell size nor cell division displayed circadian rhythms. This indicates the absence of circadian gating of cell division in Synechocystis. Instead, we observed circadian oscillation in the average brightness of the phase contrast of individual Synechocystis cells. To demonstrate how phase-contrast analysis of single cells can be complemented by backscatter analysis of batch cultures, we investigated the wildtype, a deletion mutant known to affect circadian rhythms (∆kaiC3) and complementation strains at both, the single-cell and batch levels. We concluded that phase contrast and backscatter likely measured the same rhythmic changes in the refractive index of the cells. The method presented here will advance circadian research by enabling the analysis of circadian rhythms in individual cells without the need for expression of reporter molecules.
DOI: 10.15468/dl.a9cabv
title: Occurrence Download

description: A dataset containing 297812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is China",
 "Month is one of (January, February, March, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2020-2021"
 ]
}

 The dataset includes 297812 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013702-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18482763
title: AttackMate Robotdog Log Dataset

description: This repository hosts a dataset of log files collected during a simulated, combined physical and cyber attack. The target setup comprises a robot dog, a webcam connected to a central network, and all devices communicating over Wi-Fi. The goal of the attack is to temporarily blind both the robot and the webcam, enabling a physical intruder to install sabotage hardware while a cyber attacker seizes control of the robot unit.

The attack scenario was implemented with AttackMate, employing several ATT&CK techniques. The dataset contains logs generated by the robot dog unit during both attack scenarios and normal operation, thus offering nominal and anomalous data suitable for assessing log-based anomaly detection approaches.

Further information about the dataset will be made available in an upcoming publication that is currently under review.

The dataset available in this repository is organized as follows:



attack_audit.log: A file containing the audit log data recorded on the robot dog during the attack.

clean_audit.log: A file containing the audit log data recorded on the robot dog in the absence of an attack.
DOI: 10.5281/zenodo.18482762
title: AttackMate Robotdog Log Dataset

description: This repository hosts a dataset of log files collected during a simulated, combined physical and cyber attack. The target setup comprises a robot dog, a webcam connected to a central network, and all devices communicating over Wi-Fi. The goal of the attack is to temporarily blind both the robot and the webcam, enabling a physical intruder to install sabotage hardware while a cyber attacker seizes control of the robot unit.

The attack scenario was implemented with AttackMate, employing several ATT&CK techniques. The dataset contains logs generated by the robot dog unit during both attack scenarios and normal operation, thus offering nominal and anomalous data suitable for assessing log-based anomaly detection approaches.

Further information about the dataset will be made available in an upcoming publication that is currently under review.

The dataset available in this repository is organized as follows:



attack_audit.log: A file containing the audit log data recorded on the robot dog during the attack.

clean_audit.log: A file containing the audit log data recorded on the robot dog in the absence of an attack.
DOI: 10.15468/dl.h9jqdf
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Occurrence evidence)",
 "Country is one of (China, Viet Nam)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus wangii"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013752-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfm3tq
title: Occurrence Download

description: A dataset containing 8003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taxus brevifolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8003 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013751-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6684m
title: Occurrence Download

description: A dataset containing 2157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Meles meles",
 "Year 2012-2012"
 ]
}

 The dataset includes 2157 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013750-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18493526
title: SuperDARN data in netCDF format (2013-Nov)

description: 2013-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6480533
title: SuperDARN data in netCDF format (2013-Nov)

description: 2013-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.6d236v
title: Occurrence Download

description: A dataset containing 16588 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Manatee Synoptic Aerial Survey 1991-2019"
 ]
}

 The dataset includes 16588 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013753-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzghny
title: Occurrence Download

description: A dataset containing 13351 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Florida Manatee Mortality 1974-2020"
 ]
}

 The dataset includes 13351 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013754-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18432441
title: Edaphic filters, foliar ionome, and mycorrhizal responsiveness in Canary Island Artemisia: an open, curated dataset spanning field and nursery experiments

description: This Zenodo record provides curated raw and processed datasets integrating (i) field arbuscular mycorrhizal (AM) colonization, soil physicochemical properties, and foliar ionome for Canary Island *Artemisia* across contrasting volcanic island sites, and (ii) nursery (greenhouse) AM inoculation responses including plant growth traits, foliar ionome, substrate properties, and AM colonization for *Artemisia thuscula* and *Artemisia annua*.  

The repository includes standardized “raw” tables, analysis-ready “processed” tables (with domain prefixes: `soil_*`, `foliar_*`, `am_*`, `substrate_*`, `growth_*`), a detailed `CODEBOOK.csv`, and R scripts to validate inputs and regenerate processed datasets for reproducible reuse.  

Related peer-reviewed article (subset of analyses): Applied Soil Ecology (2026), https://doi.org/10.1016/j.apsoil.2026.106832.  

License: CC BY 4.0.
DOI: 10.5281/zenodo.18494680
title: Edaphic filters, foliar ionome, and mycorrhizal responsiveness in Canary Island Artemisia: an open, curated dataset spanning field and nursery experiments

description: This Zenodo record provides curated raw and processed datasets integrating (i) field arbuscular mycorrhizal (AM) colonization, soil physicochemical properties, and foliar ionome for Canary Island *Artemisia* across contrasting volcanic island sites, and (ii) nursery (greenhouse) AM inoculation responses including plant growth traits, foliar ionome, substrate properties, and AM colonization for *Artemisia thuscula* and *Artemisia annua*.  

The repository includes standardized “raw” tables, analysis-ready “processed” tables (with domain prefixes: `soil_*`, `foliar_*`, `am_*`, `substrate_*`, `growth_*`), a detailed `CODEBOOK.csv`, and R scripts to validate inputs and regenerate processed datasets for reproducible reuse.  

Related peer-reviewed article (subset of analyses): Applied Soil Ecology (2026), https://doi.org/10.1016/j.apsoil.2026.106832.  

License: CC BY 4.0.
DOI: 10.5281/zenodo.18492749
title: Spatial predictions and uncertainty maps of global fallout radionuclides (137Cs and 239+240Pu) for the Southern Hemisphere

description: Overview

This repository contains high-resolution (1 km) spatial datasets for global fallout radionuclides across the Southern Hemisphere (extending to 20°N). The data includes spatial predictions, uncertainty estimates, and model applicability assessments for Cesium-137 ($^{137}Cs$) and Plutonium-239+240 ($^{239+240}Pu$) inventories in soil.

Associated Publication

These datasets support the research presented in the following study:



"Radioactive fallout legacy of nuclear tests in soils of the Southern Hemisphere"

Submitted to: Science Advances


Technical Specifications





Spatial Resolution: 1 km (30 arc-seconds)




Coordinate Reference System (CRS): [WGS 84]




Units: [Bq/m²] and [% for CV]



Data Content

For both $^{137}Cs$ and $^{239+240}Pu$, the repository provides:





Prediction Maps (.tif): Spatial distribution of radionuclide inventories.




Uncertainty & CV Maps (.tif): Standard deviation and Coefficient of Variation for reliability assessment.




Area of Applicability (.shp): Vector masks identifying the reliable model domain (Gridcode 1 = Applicable).



 

 To cite the database, please use:

Avcıoğlu, A., Dicen, G., Gupta, S., Alewell, C., Evrard, O., Sabatier, P., Angot, H., Vandromme, R., Cerdan, O., & Meusburger, K. (2026). Radioactive fallout legacy of nuclear tests in soils of the Southern Hemisphere. Science Advances. (Submitted).

Documentation

Please refer to the README.txt (or README.md) file included in this repository for detailed metadata, file structures, and usage instructions.
DOI: 10.5281/zenodo.18492750
title: Spatial predictions and uncertainty maps of global fallout radionuclides (137Cs and 239+240Pu) for the Southern Hemisphere

description: Overview

This repository contains high-resolution (1 km) spatial datasets for global fallout radionuclides across the Southern Hemisphere (extending to 20°N). The data includes spatial predictions, uncertainty estimates, and model applicability assessments for Cesium-137 ($^{137}Cs$) and Plutonium-239+240 ($^{239+240}Pu$) inventories in soil.

Associated Publication

These datasets support the research presented in the following study:



"Radioactive fallout legacy of nuclear tests in soils of the Southern Hemisphere"

Submitted to: Science Advances


Technical Specifications





Spatial Resolution: 1 km (30 arc-seconds)




Coordinate Reference System (CRS): [WGS 84]




Units: [Bq/m²] and [% for CV]



Data Content

For both $^{137}Cs$ and $^{239+240}Pu$, the repository provides:





Prediction Maps (.tif): Spatial distribution of radionuclide inventories.




Uncertainty & CV Maps (.tif): Standard deviation and Coefficient of Variation for reliability assessment.




Area of Applicability (.shp): Vector masks identifying the reliable model domain (Gridcode 1 = Applicable).



 

 To cite the database, please use:

Avcıoğlu, A., Dicen, G., Gupta, S., Alewell, C., Evrard, O., Sabatier, P., Angot, H., Vandromme, R., Cerdan, O., & Meusburger, K. (2026). Radioactive fallout legacy of nuclear tests in soils of the Southern Hemisphere. Science Advances. (Submitted).

Documentation

Please refer to the README.txt (or README.md) file included in this repository for detailed metadata, file structures, and usage instructions.
DOI: 10.15468/dl.kju7te
title: Occurrence Download

description: A dataset containing 901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Perccottus glenii",
 "Year 2010-2025"
 ]
}

 The dataset includes 901 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013758-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su5b9q
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithophyllum kotschyanum"
 ]
}

 The dataset includes 219 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013759-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmhs5t
title: Occurrence Download

description: A dataset containing 5780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia)",
 "TaxonKey is Pongo pygmaeus"
 ]
}

 The dataset includes 5780 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013755-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm79mw
title: Occurrence Download

description: A dataset containing 475190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 1989",
 "Geometry POLYGON((-25.0 39.0, 45.0 39.0, 45.0 44.0, -25.0 44.0, -25.0 39.0))"
 ]
}

 The dataset includes 475190 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013701-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jau2e6
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascarina rubricaulis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 114 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013761-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.6984887a03f98
title: Knabenkopf nach rechts geneigt, https://d-nb.info/gnd/1192354494
DOI: 10.15468/dl.trqyyw
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potanthus confucius"
 ]
}

 The dataset includes 923 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013763-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.