cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14870197
title: DataSet Saltin et al 2025 A parametric finite element model of leg campaniform sensilla in Drosophila to study CS location and arrangement

description: ReadMe .7z (ZIP) archive by Dr. Brian D. Saltin for  "A parametric finite element model of leg campaniform sensilla in Drosophila to study CS location and arrangement" in J. R. Soc. Interface  by Brian D. Saltin, Clarus Goldsmith, Moritz Haustein, Ansgar Büschges, Nicholas S. Szczecinski, Alexander Blanke.

If no other/further restrictions apply (eg. COMSOL  licence link below, MathWorks license - both license agreements provided as copy) all is CC-BY 4.0

https://cdn.comsol.com/doc/6.0.0.405/COMSOL_SoftwareLicenseAgreement.pdf

MathWorks, COMSOL, and their licensors shall be explicitly excluded from liability for damages or remedies; there is no warranty for any program/file; Removal of any copyright, trademark, logo, proprietary rights, disclaimer or warningnotice included on or embedded in any part is prohibited.

This dataset consists of two folders one holding the COMSOL 5.6 model files and 3 CAD files of the geometry (Supplemetery3D), 

the other the matlab code and raw data as exported from COMSOL to csv files (RawData_AND_Code).

The rationale behind the duplication of COMSOl fiels and dat.csv's in conjuntion with CAD files is to make it as accessible as possible without a COMSOL license.

A dedicated ReadMe for the matlab code and raw data can be found inside the code folder,which in principle contains the interdependet matlab files and their respective raw data. 

The code as provide constituted the full analysis minus aesthetic changes more easilydone in layout soft wear.

Supplemetary3D contains:

Supplementary 1: CAD files of an individual CS 

Supplementary 2: CAD files of full femoral field 

Supplementary 3: CAD files of  the completely assembled model. 

Supplementary 4: ZIP of COMSOL files of the parametrized model as used in the present study.
DOI: 10.5281/zenodo.14870367
title: Zeitzeugeninterview zur Aktualisierung des Gedenksteins für Käthe Kollwitz

description: Die Künstler Andreas Paeslack und Jens Herrmann ergänzten im Jahr 2000 den Moritzburger Gedenkstein für Käthe Kollwitz um einen Findlingstein mit der Inschrift "Versteinerte Humanität". Die Aktualisierung des Denkmals löste Kontroversen aus, die schließlich zur Entfernung der Ergänzung führten. Das Zeitzeugeninterview rekonstruiert die damaligen Ereignisse und untersucht die Motivationen der beteiligten Autoren. Es dient als Grundlage für einen Text im Sammelband Identität und. Konstruktionen, Konflikte, Kontexte (Schwabe Verlag, erscheint 2025).
description: In 2000, the artists Andreas Paeslack and Jens Herrmann added an erratic boulder with the inscription ‘Petrified Humanity’ to the Moritzburg memorial stone to the memory of Käthe Kollwitz. The updating of the memorial sparked controversy, which ultimately led to the removal of the addition. The interview with contemporary witnesses reconstructs the events of the time and examines the motivations of the authors involved. It serves as the basis for a text in the anthology Identität und. Constructions, Conflicts, Contexts (Schwabe Verlag, to be published in 2025).
DOI: 10.5281/zenodo.14870368
title: Zeitzeugeninterview zur Aktualisierung des Gedenksteins für Käthe Kollwitz

description: Die Künstler Andreas Paeslack und Jens Herrmann ergänzten im Jahr 2000 den Moritzburger Gedenkstein für Käthe Kollwitz um einen Findlingstein mit der Inschrift "Versteinerte Humanität". Die Aktualisierung des Denkmals löste Kontroversen aus, die schließlich zur Entfernung der Ergänzung führten. Das Zeitzeugeninterview rekonstruiert die damaligen Ereignisse und untersucht die Motivationen der beteiligten Autoren. Es dient als Grundlage für einen Text im Sammelband Identität und. Konstruktionen, Konflikte, Kontexte (Schwabe Verlag, erscheint 2025).
description: In 2000, the artists Andreas Paeslack and Jens Herrmann added an erratic boulder with the inscription ‘Petrified Humanity’ to the Moritzburg memorial stone to the memory of Käthe Kollwitz. The updating of the memorial sparked controversy, which ultimately led to the removal of the addition. The interview with contemporary witnesses reconstructs the events of the time and examines the motivations of the authors involved. It serves as the basis for a text in the anthology Identität und. Constructions, Conflicts, Contexts (Schwabe Verlag, to be published in 2025).
DOI: 10.5281/zenodo.14870504
title: Zeitzeugeninterview zur Aktualisierung des Gedenksteins für Käthe Kollwitz

description: Die Künstler Andreas Paeslack und Jens Herrmann ergänzten im Jahr 2000 den Moritzburger Gedenkstein für Käthe Kollwitz um einen Findlingstein mit der Inschrift "Versteinerte Humanität". Die Aktualisierung des Denkmals löste Kontroversen aus, die schließlich zur Entfernung der Ergänzung führten. Das Zeitzeugeninterview rekonstruiert die damaligen Ereignisse und untersucht die Motivationen der beteiligten Autoren. Es dient als Grundlage für einen Text im Sammelband Identität und. Konstruktionen, Konflikte, Kontexte (Schwabe Verlag, erscheint 2025).
description: In 2000, the artists Andreas Paeslack and Jens Herrmann added an erratic boulder with the inscription ‘Petrified Humanity’ to the Moritzburg memorial stone to the memory of Käthe Kollwitz. The updating of the memorial sparked controversy, which ultimately led to the removal of the addition. The interview with contemporary witnesses reconstructs the events of the time and examines the motivations of the authors involved. It serves as the basis for a text in the anthology Identität und. Constructions, Conflicts, Contexts (Schwabe Verlag, to be published in 2025).
DOI: 10.13135/ela-434
title: Decree
DOI: 10.5281/zenodo.13833380
title: Boreal Owl Offspring Sex Ratio

description: The dataset is associated with the paper titled “Fledgling Sex Ratio Is Determined by Egg Loss, Hatching Order, Nestling Mortality, and Inter‐Annual Food Fluctuations for Boreal Owls, Aegolius funereus”, published in Ecology and Evolution (2025). The XLS file contains three sheets, each corresponding to one of the models described in the paper, along with an additional sheet providing information about the data.
DOI: 10.5281/zenodo.13833381
title: Boreal Owl Offspring Sex Ratio

description: The data are related to the paper titled "Fledgling sex ratio is determined at laying and varies within seasons but not with inter-annual food fluctuations for Boreal Owl, Aegolius funereus". It includes four sheets, each corresponding to one of the models described in the paper. Use of this data is permitted only with the author's consent.
DOI: 10.5281/zenodo.14558638
title: Boreal Owl Offspring Sex Ratio

description: The dataset is associated with the paper titled “Fledgling sex ratio is determined by egg loss, hatching order, nestling mortality, and inter-annual food fluctuations for Boreal Owls, Aegolius funereus”. It contains three sheets, each corresponding to one of the models described in the paper. Use of this data is permitted only with the author's consent.
DOI: 10.5281/zenodo.14604903
title: Boreal Owl Offspring Sex Ratio

description: The dataset is associated with the paper titled “Fledgling sex ratio is determined by egg loss, hatching order, nestling mortality, and inter-annual food fluctuations for Boreal Owls, Aegolius funereus”. It contains three sheets, each corresponding to one of the models described in the paper. Use of this data is permitted only with the author's consent.
DOI: 10.5281/zenodo.14870612
title: Boreal Owl Offspring Sex Ratio

description: The dataset is associated with the paper titled “Fledgling Sex Ratio Is Determined by Egg Loss, Hatching Order, Nestling Mortality, and Inter‐Annual Food Fluctuations for Boreal Owls, Aegolius funereus”, published in Ecology and Evolution (2025). The XLS file contains three sheets, each corresponding to one of the models described in the paper, along with an additional sheet providing information about the data.
DOI: 10.15468/dl.sh5tup
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pseudogymnoascus destructans (Blehert & Gargas) Minnis & D.L.Lindner"
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000062-250214102907787/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.28417283
title: Referral data system

description: The data was extracted from the National Referral Coordinator’s database consisting of secondary, de-identified, individual patients and hospital bed occupancy data collected daily at government secondary and tertiary hospitals. <br>
DOI: 10.17632/5r9kkgbwhw.1
title: Ceruloplasmin administration in the preclinical mouse model of aceruloplasminemia reveals a sex-related variation in biodistribution

description: raw data and images for the genertion of the figures in the manuscript "Ceruloplasmin administration in the preclinical mouse model of aceruloplasminemia reveals a sex-related variation in biodistribution" by Belloli S, Monterisi C, Rainone P, Coliva A, Zanardi A, Conti A, Caricasole A, Moresco RM, Alessio M. (Published in Communications Biology, 2025)
DOI: 10.15468/dl.tnk3mh
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna phoenix Brummitt"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000063-250214102907787/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.25914637
title: Datafile 5. Assembly Accession

description: <b>Comparative genomics of microalgae</b>
DOI: 10.6084/m9.figshare.25914637.v3
title: Datafile 5. Assembly Accession

description: <b>Comparative genomics of microalgae</b>
DOI: 10.6084/m9.figshare.25914637.v2
title: Microalga Datafile 5. Assembly Accession

description: <b>Comparative genomics of microalgae</b>
DOI: 10.6084/m9.figshare.27930891.v2
title: Microalgae Dataset 1. Specie of interest

description: Specie of interest Microalgae
DOI: 10.6084/m9.figshare.27930894.v2
title: Microalgae Dataset 2. Microalgae species with accession and annotated/not annotaded

description: Microalgae species with accession and annotated/not annotaded
DOI: 10.5281/zenodo.11237139
title: Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.1)

description: Overview:

The  Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).

The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.

Usage:

The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.

Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.

The subset of the data with the name Madrid_subset_data.zip has been added which contains a small portion of train and test images for purpose of inspecting the dataset without downloading the entire dataset.

The training images for both training data and testing data are structured as follows.

Train/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...Test/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...
DOI: 10.5281/zenodo.11237140
title: Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.0)

description: Overview:

The  Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).

The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.

Usage:

The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.

Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.

The training images for both training data and testing data are structured as follows.

Train/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...Test/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...
DOI: 10.5281/zenodo.14870721
title: Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.0)

description: Overview:

The  Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).

The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.

Usage:

The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.

Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.

The subset of the data with the name Madrid_subset_data.zip has been added which contains a small portion of train and test images for purpose of inspecting the dataset without downloading the entire dataset.

The training images for both training data and testing data are structured as follows.

Train/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...Test/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...
DOI: 10.5281/zenodo.14870761
title: Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.1)

description: Overview:

The  Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).

The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.

Usage:

The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.

Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.

The subset of the data with the name Madrid_subset_data.zip has been added which contains a small portion of train and test images for purpose of inspecting the dataset without downloading the entire dataset.

The training images for both training data and testing data are structured as follows.

Train/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...Test/
└── images/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG
    └── ...└── masks/
    └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG
    └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG
    └── ...
DOI: 10.6084/m9.figshare.27930906
title: Datafile 3. BUSCO output

description: BUSCO output: 49 species annotated with multiple accession
DOI: 10.6084/m9.figshare.27930906.v2
title: Microalgae Datafile 3. BUSCO output

description: BUSCO output of 49 species annotated with multiple accession
DOI: 10.15468/dl.6cpgxg
title: Occurrence Download

description: A dataset containing 75575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hibiscus syriacus L."
 ]
}

 The dataset includes 75575 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000064-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.27761.20326
title: Convenient: Conservazione e valorizzazione di razze autoctone in via di estinzione
DOI: 10.13140/rg.2.2.19005.59368
title: Table SI 1-6
DOI: 10.5281/zenodo.17398449
title: Database for analysing the motivations and barriers to carpooling in Spain

description: The content of this reference includes the dataset generated through an online survey of a sample of carpooling users in Spain (N=600). It contains 97 variables that allow to measure motivations, barriers, sociodemographic characteristics, situational factors, and behavioural variables. The dataset also contains factor scores derived from three confirmatory factor analyses (for motivations, barriers, and intentions of use and recommendation, respectively), as well as variables derived from the 8-cluster solution of a latent class cluster analysis. The dataset is in *.sav format and includes all labels for the different variables.
DOI: 10.13140/rg.2.2.18710.68168
title: Habitats in transect 20210209_038_TZ
DOI: 10.13140/rg.2.2.33548.03208
title: Multi-path ultrasonic flow meter with multi-layer piezoelectric transducer (Clip)
DOI: 10.15468/dl.3k4edj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viscum austriacum)",
 "Country is Ukraine"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042867-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.24320.56329
title: ANTIBODIES IN COVID 19 AND VACCINATION PROFESSOR Tareq alasadi
DOI: 10.13140/rg.2.2.14988.23687
title: IS IT POSSIBLE THAT CHINESE VACCINES SAFEST AS CHINESE STATE INVENTED AND CRAFTED THIS VIRUS AS BIOLOGICAL WARFARE ATTACK ?
DOI: 10.13140/rg.2.2.20414.61765
title: metformin and macular degeneration JAMA text comments.txt
DOI: 10.13140/rg.2.2.28541.08161
title: Habitats in transect 20210210_004_TZ
DOI: 10.13140/rg.2.2.36772.40322
title: Habitats in transect 20210210_001_TZ
DOI: 10.15468/dl.wetcqf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.828264 -34.558887, 147.828264 -34.565624, 147.832756 -34.565624, 147.832756 -34.558887, 147.828264 -34.558887))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071979-240626123714530/datasets/export for details.