cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15059441
title: Postmodernisma izaicinājumi Baznīcai

description: After massive evidence of atrocities performed by Communist regimes, Marxism lost its moral stand but did not cease to exist. It merged with Postmodernism, becoming a hybrid ideology – postmodern neo-Marxism. This ideology extends the concept of oppression from economic and political power gained through class struggle to any identity-based social group relationship, claiming that it is dominated by power. On the one hand, postmodernists deny objective truth and any metanarrative. On the other hand, they posit as a reality-shaping factor the defining force of social identity, which is formed by the power to redefine the previous meanings of words. Identity politics has become the guiding principle of postmodern neo-Marxism, which is a serious challenge for both the Christian church and Western civilization.
DOI: 10.5281/zenodo.15064032
title: RMSD values mGL and scmGL

description: RMSD values calculated to the most relaxed structure out of a population of 1000.

The values (in text) can be plotted as a boxplot for the Figure 1C at the associated work associated to this dataset (ACS Nano 2023, 17, 21, 21206–21215).
DOI: 10.5281/zenodo.15064033
title: RMSD values mGL and scmGL

description: RMSD values calculated to the most relaxed structure out of a population of 1000.

The values (in text) can be plotted as a boxplot for the Figure 1C at the associated work associated to this dataset (ACS Nano 2023, 17, 21, 21206–21215).
DOI: 10.5281/zenodo.13760107
title: Engelbert - Session S001

description: The detailed description is in the file: "M4-Optical setup for entangled photon selected.pdf"
DOI: 10.5281/zenodo.13760106
title: Engelbert - Session S001

description: The detailed description is in the file: "M4-Optical setup for entangled photon selected.pdf"

 

 
description: Acknowledgements

The authors would like to acknowledge that this dataset has been generated based on the results achieved within the OptiQ project. This Project has received funding from the European Union’s Horizon Europe programme under the grant agreement No 101080374-OptiQ. Supplementarily, the Project is co-financed from the resources of the Polish Ministry of Science and Higher Education in a frame of programme International Co-financed Projects. Disclaimer Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA–granting authority). Neither the European Union nor the granting authority can beheld responsible for them.
DOI: 10.5281/zenodo.15064062
title: Engelbert - Session S001

description: The detailed description is in the file: "M4-Optical setup for entangled photon selected.pdf"

 

 
description: Acknowledgements

The authors would like to acknowledge that this dataset has been generated based on the results achieved within the OptiQ project. This Project has received funding from the European Union’s Horizon Europe programme under the grant agreement No 101080374-OptiQ. Supplementarily, the Project is co-financed from the resources of the Polish Ministry of Science and Higher Education in a frame of programme International Co-financed Projects. Disclaimer Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA–granting authority). Neither the European Union nor the granting authority can beheld responsible for them.
DOI: 10.5281/zenodo.13786210
title: ENGELBERT S003

description: Two recordings of the covered SiMP photo detectors to obtain the noise alone. It will be used in further research for distinguishing noise from real detections. 

There may appear some false detections: dark current and eventually some other detection of photons achieving the sensor despite of cover
DOI: 10.5281/zenodo.1167595
title: Heterogeneous Integrated Dataset for Maritime Intelligence, Surveillance, and Reconnaissance

description: Facing an increasing amount of movements at sea and daily impacts on ships, crew and our global ecosystem, many research centers, international organizations, industrials have favored and developed sensors, detection techniques for the monitoring, analysis and visualization of sea movements. Automatic Identification System (AIS) is one of these electronic systems that enable ships to broadcast their dynamic (position, speed, destination...) and static (name, type, international identifier…) information via radio communications. Having spatially and temporally aligned maritime dataset relying not only on ships' positions but also on a variety of complementary data sources is of great interest for the understanding of maritime activities and their impact on the environment. This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset.
DOI: 10.5281/zenodo.2557289
title: Composite Maritime Events

description: The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ship-to-ship transfer, etc.), recognised by RTEC on semantically annotated AIS position signals, over a period of six months, from approx. 5K vessels sailing around the port of Brest, France.


The dataset of AIS position signals is available here. The semantic annotation of the AIS signals is available here. 


Information on the specification of the composite maritime events is available here:


Pitsikalis M., Artikis A., Dreo R., Ray C., Camossi E., and Jousselme A. Composite Event Recognition for Maritime Monitoring. International Conference on Distributed and Event-Based Systems (DEBS), 2019
DOI: 10.5281/zenodo.2557290
title: Composite Maritime Events

description: The dataset includes approximately 4M composite maritime events (e.g., anchored vessels, loitering, ship-to-ship transfer, etc.), recognised by RTEC on semantically annotated AIS position signals, over a period of six months, from approx. 5K vessels sailing around the port of Brest, France.


The dataset of AIS position signals is available here. The semantic annotation of the AIS signals is available here. 


Information on the specification of the composite maritime events is available here:


Pitsikalis M., Artikis A., Dreo R., Ray C., Camossi E., and Jousselme A. Composite Event Recognition for Maritime Monitoring. International Conference on Distributed and Event-Based Systems (DEBS), 2019
DOI: 10.5281/zenodo.2563255
title: Final dataset of Trajectory Synopses over AIS kinematic messages in Brest area (ver. 0.8)

description: Data provided by NARI (Institut de Recherche de l'�cole Navale) contains AIS kinematic messages from vessels sailing in the Atlantic Ocean around the port of Brest, Brittany, France and span a period from 1 October 2015 to 31 March 2016.

Raw AIS messages - file: nari_dynamic.csv, 19,035,630 records.

After deduplication of original AIS messages, this dataset yielded 18,495,677 point locations (kinematic AIS messages only), which was used as input for creating trajectory synopses.

Attribute "MMSI" in the original data is used in processing as the identifier of each vessel (e.g., "244670495").
description: Patroumpas K., Alevizos E., Artikis A., Vodas M., Pelekis N. and Theodoridis Y. Online Event Recognition from Moving Vessel Trajectories. GeoInformatica 21(2): 389-427, 2017.
DOI: 10.15468/dl.setsdz
title: Occurrence Download

description: A dataset containing 2498 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 Oenothera macrocarpa Nutt."
 ]
}

 The dataset includes 2498 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020300-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4v3t6
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamna nasus (Bonnaterre, 1788)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 137 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020301-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hegyj9
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicladocerus westwoodii Westwood, 1832",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 121 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020302-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c4qxq
title: Occurrence Download

description: A dataset containing 93 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 Meconopsis betonicifolia Franch."
 ]
}

 The dataset includes 93 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020303-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urf5ur
title: Occurrence Download

description: A dataset containing 1963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionace glauca (Linnaeus, 1758)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1963 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020305-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15063698
title: FakeMusicCaps
title: A Dataset for Detection and Attribution of Synthetic Music Generated via TTMs

description: The FakeMusicCaps dataset contains total of 27605 10 seconds music tracks corresponding to almost 77 hours, generated using 5 different Text-To-Music (TTM) models. It is designed to be used as a starting dataset for the training and/or evaluation of models for the detection and attribution of synthetic music generated via TTM models.

If you use this dataset, please cite our paper:

Comanducci, L., Bestagini, P., and Tubaro, S., “FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models”, Art. no. arXiv:2409.10684, 2024. doi:10.48550/arXiv.2409.10684.
DOI: 10.15468/dl.vv99t8
title: Occurrence Download

description: A dataset containing 51689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chrysoperla Steinmann, 1964"
 ]
}

 The dataset includes 51689 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020278-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn6akg
title: Occurrence Download

description: A dataset containing 34346 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strix occidentalis (Xántus de Vésey, 1860)"
 ]
}

 The dataset includes 34346 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007393-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9fzpt
title: Occurrence Download

description: A dataset containing 441601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lysimachia arvensis (L.) U.Manns & Anderb., Lysimachia minima (L.) U.Manns & Anderb., Lysimachia arvensis var. arvensis, Lysimachia ovalis (Ruiz & Pav.) U.Manns & Anderb., Lysimachia tenella L., Ananas comosus (L.) Merr., Anaphalis margaritacea (L.) Benth., Agrostophyllum javanicum Blume, Anchusa arvensis Tausch, 1824, Anchusa azurea Mill.)"
 ]
}

 The dataset includes 441601 records from 2612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007465-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2xt47pcfwb
title: p16High senescence restricts cellular plasticity during somatic cell reprogramming

description: Despite advances in four factor (4F)-induced reprogramming (4FR) in vitro and in vivo, how it interconnects with senescence remains largely under-investigated. Using genetic and chemical approaches to manipulate senescent cells, we found that removal of p16High cells resulted in 4FR of somatic cells into totipotent-like stem cells. These cells expressed markers of both pluripotency and the 2-cell (2C) embryonic state, readily formed implantation-competent blastocyst-like structures, blastoids, and following morula aggregation, contributed to embryonic and extraembryonic lineages in E12.5 embryos. We identified senescence-dependent regulation of nicotinamide N-methyltransferase (NNMT) as a key mechanism controlling the S-adenosyl-L-methionine (SAM) levels during 4FR that was required for expression of the 2C genes and acquisition of an extraembryonic potential. Importantly, a partial 4F epigenetic reprogramming in old mice was able to significant reverse several markers of liver aging only in conjunction with depletion of p16High cells. Our results show that the presence of p16High senescent cells limit cell plasticity, while their depletion can promote totipotent-like state and histopathological tissue rejuvenation during 4F-reprogramming.
DOI: 10.17632/2xt47pcfwb.1
title: p16High senescence restricts cellular plasticity during somatic cell reprogramming

description: Despite advances in four factor (4F)-induced reprogramming (4FR) in vitro and in vivo, how it interconnects with senescence remains largely under-investigated. Using genetic and chemical approaches to manipulate senescent cells, we found that removal of p16High cells resulted in 4FR of somatic cells into totipotent-like stem cells. These cells expressed markers of both pluripotency and the 2-cell (2C) embryonic state, readily formed implantation-competent blastocyst-like structures, blastoids, and following morula aggregation, contributed to embryonic and extraembryonic lineages in E12.5 embryos. We identified senescence-dependent regulation of nicotinamide N-methyltransferase (NNMT) as a key mechanism controlling the S-adenosyl-L-methionine (SAM) levels during 4FR that was required for expression of the 2C genes and acquisition of an extraembryonic potential. Importantly, a partial 4F epigenetic reprogramming in old mice was able to significant reverse several markers of liver aging only in conjunction with depletion of p16High cells.  Our results show that the presence of p16High senescent cells limit cell plasticity, while their depletion can promote totipotent-like state and histopathological tissue rejuvenation during 4F-reprogramming.
DOI: 10.17632/2xt47pcfwb.2
title: p16High senescence restricts cellular plasticity during somatic cell reprogramming

description: Despite advances in four factor (4F)-induced reprogramming (4FR) in vitro and in vivo, how it interconnects with senescence remains largely under-investigated. Using genetic and chemical approaches to manipulate senescent cells, we found that removal of p16High cells resulted in 4FR of somatic cells into totipotent-like stem cells. These cells expressed markers of both pluripotency and the 2-cell (2C) embryonic state, readily formed implantation-competent blastocyst-like structures, blastoids, and following morula aggregation, contributed to embryonic and extraembryonic lineages in E12.5 embryos. We identified senescence-dependent regulation of nicotinamide N-methyltransferase (NNMT) as a key mechanism controlling the S-adenosyl-L-methionine (SAM) levels during 4FR that was required for expression of the 2C genes and acquisition of an extraembryonic potential. Importantly, a partial 4F epigenetic reprogramming in old mice was able to significant reverse several markers of liver aging only in conjunction with depletion of p16High cells. Our results show that the presence of p16High senescent cells limit cell plasticity, while their depletion can promote totipotent-like state and histopathological tissue rejuvenation during 4F-reprogramming.
DOI: 10.17632/2xt47pcfwb.3
title: p16High senescence restricts cellular plasticity during somatic cell reprogramming

description: Despite advances in four factor (4F)-induced reprogramming (4FR) in vitro and in vivo, how it interconnects with senescence remains largely under-investigated. Using genetic and chemical approaches to manipulate senescent cells, we found that removal of p16High cells resulted in 4FR of somatic cells into totipotent-like stem cells. These cells expressed markers of both pluripotency and the 2-cell (2C) embryonic state, readily formed implantation-competent blastocyst-like structures, blastoids, and following morula aggregation, contributed to embryonic and extraembryonic lineages in E12.5 embryos. We identified senescence-dependent regulation of nicotinamide N-methyltransferase (NNMT) as a key mechanism controlling the S-adenosyl-L-methionine (SAM) levels during 4FR that was required for expression of the 2C genes and acquisition of an extraembryonic potential. Importantly, a partial 4F epigenetic reprogramming in old mice was able to significant reverse several markers of liver aging only in conjunction with depletion of p16High cells.  Our results show that the presence of p16High senescent cells limit cell plasticity, while their depletion can promote totipotent-like state and histopathological tissue rejuvenation during 4F-reprogramming.
DOI: 10.17632/352hc4rjhf.1
title: Computed geometrical descriptors of drug-linker moieties

description: The particle size of the drug-linker moieties in currently approved antibody-drug conjugates is not available in the literature at the time of writing. I had expected it to be in the nanoscale, on the basis of known structures and average bond lengths. To confirm this hypothesis, I carried out a computational study in MarvinSketch. This dataset contains structure (.mrv) and image (.png) files. The .mrv files represent the final structures of the drug-linker moieties. The .png files are screenshots of the results obtained using the Geometrical Descriptors plugin in MarvinSketch. The computed geometrical descriptors are the Dreiding energy, MMFF94 energy, minimal projection area, maximal projection area, minimal projection radius, maximal projection radius, maximal distance perpendicular to the maximal area, maximal distance perpendicular to the minimal area, van der Waals volume. Information on how to interpret these parameters is available at https://docs.chemaxon.com/display/docs/calculators_geometrical-descriptors-plugin.md. Among these parameters, two from which the diameter of a drug-linker can be estimated are the maximal distance perpendicular to the minimal area and the maximal distance perpendicular to the minimal area; these distances are in the nanoscale for all drug-linker moieties, confirming the original hypothesis. 
These files can be used in future theoretical and computational studies.
The .png files can be opened with a picture display software.
The .mrv files can be opened in MarvinSketch, but other chemical editors may recognize them as well.
DOI: 10.17632/85gktc3r78.1
title: Fatal Phenol Peel by an Unlicensed Social Media Practitioner: A Forensic Medical Analysis. JAAD. 2025.

description: Supplemental figures.
DOI: 10.5281/zenodo.13730369
title: Amsterdam Dataset for Floating Litter Detection

description: Dataset

This dataset contains the data used for the publication:



Jia, T., de Vries, R., Kapelan, Z., van Emmerik, T. H., & Taormina, R. (2024). Detecting floating litter in freshwater bodies with semi-supervised deep learning. Water Research, 266, 122405. https://doi.org/10.1016/j.watres.2024.122405


The Amsterdam dataset is for detecting floating litter with computer vision. We created the Amsterdam dataset from one experiment conducted on 1st March 2023, in canals and ponds at Amsterdam, the Netherlands. We recorded images using an action camera (GoPro Hero 10). All images used in this publication are captured by the device positioned at a distance of maximum 2 m from the water surface. The image resolution is 5568*4176. This dataset consists of 9 RGB images. We manually labeled the litter items in these images with bounding boxes.

The 9 images are stored in the images.zip file, the annotations are stored in the labels_txt.zip file, and the class of the annotation (i.e., litter) is stored in the classes.txt file.

Cite this dataset

If you use this dataset for a publication, please cite the paper. Here is a BibTeX entry:



@article{jia2024detecting,
  title={Detecting floating litter in freshwater bodies with semi-supervised deep learning},
  author={Jia, Tianlong and de Vries, Rinze and Kapelan, Zoran and van Emmerik, Tim HM and Taormina, Riccardo},
  journal={Water Research},
  volume={266},
  pages={122405},
  year={2024},
  publisher={Elsevier}
}