cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/2nz-sbq-gkf
title: Muscardinus Kaup, 1829

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4lc-gfl-rfb
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/731-awj-h1v
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jyp-890-6m3
title: Apodemus sylvaticus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zj2-b4x-tm8
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jw7-z2n-h5t
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wlm-z54-7at
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4hb-7mq-rpe
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x5r-gb2-s6g
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3lt-q44-r7x
title: Goniopora de Blainville, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8xz-tyk-7j4
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bp3-y9r-he1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4v1-kwg-q8l
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6t3-2n6-764
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78z-fcz-zql
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vrj-9er-9w0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.kr6x28
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phellodendron amurense"
 ]
}

 The dataset includes 226 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018404-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dg1-tvx-26b
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3bh-ptp-ar7
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ttf-1nm-y01
title: Trivia J. E. Gray, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xg4-7z8-qdl
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5x5-25f-vze
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jsx-6gg-j2e
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/70r-epr-2bf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tly-lyt-dzz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1mm-tn4-txv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k1t-62f-ss0
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h01-246-cpn
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k9c-dnx-c9r
title: Flustra Linnaeus, 1761

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bv3-hr0-l0v
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.9ht2xm
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morus alba",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018405-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7s3-t8m-ggp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k51-y80-qmn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/he0-pwc-gct
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sz7-n5j-wrh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/txt-kwr-e8g
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/36t-88q-6qp
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h4w-5h4-m4r
title: Insecta

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/plc-5f9-6t1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/twl-ffs-0rd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aty-g54-yhp
title: Cladangia Milne Edwards & Haime, 1851

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yf8-kjm-j7m
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/04b-86n-0er
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xkx-x68-scs
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.c9mk5m
title: Occurrence Download

description: A dataset containing 3518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Sorex palustris Richardson, 1828, Sorex navigator (Baird, 1858))"
 ]
}

 The dataset includes 3518 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003026-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.annsse
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dionychastrum schliebenii A.Fern. & R.Fern."
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046067-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhsvbd
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dissotis splendens A.Chev. & Jacq.-Fél."
 ]
}

 The dataset includes 35 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046059-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15525186
title: Data of the sediment core CJ04-57 from the Ninetyeast Ridge
DOI: 10.5281/zenodo.15525187
title: Data of the sediment core CJ04-57 from the Ninetyeast Ridge
DOI: 10.15468/dl.nyr9qc
title: Occurrence Download

description: A dataset containing 2147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Germany, Switzerland, Austria, Luxembourg, Liechtenstein, Belgium)",
 "Month is one of (June, July, August, September, October, November, December)",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier",
 "Year 2023-2023"
 ]
}

 The dataset includes 2147 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003029-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j82up8
title: Occurrence Download

description: A dataset containing 13529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arthrobacter Conn & Dimmick, 1947"
 ]
}

 The dataset includes 13529 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003027-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010703
title: A validation study of a machine learning model for predicting clinical benefit in patients with hepatocellular carcinoma treated with atezolizumab and bevacizumab. 

description: Hepatocellular carcinoma (HCC) is a type of cancer that originates in the main liver cells, called hepatocytes. It is the third leading cause of cancer-related death globally, and is the most common primary liver cancer, constituting approximately 80% of cases. Many patients are diagnosed at advanced stages, and systemic therapy (a treatment that uses drugs to target the entire body, reaching cells through the bloodstream) is the mainstay of advanced HCC treatment. 

The IMBrave150 clinical trial used a combination of systemic drugs – atezolizumab and bevacizumab. Atezolizumab works by binding to a protein called programmed death-ligand 1 (PD-L1) on the surface of cancer cells. This allows the immune system to recognize and attack cancer cells, which can help slow tumor growth. Bevacizumab works by blocking a protein called vascular endothelial growth factor (VEGF), which prevents the formation of new blood vessels, which reduces the blood supply to tumors and limits their growth.

The IMBrave150 trial demonstrated significantly improved overall survival (OS) (the length of time from either the date of diagnosis or the start of treatment that patients are still alive) and progression-free survival (PFS) (the length of time during and after treatment that a patient lives with the disease but it does not get worse) compared with another drug called sorafenib which works by blocking cancer cell growth. Accordingly, the combination therapy of atezolizumab and bevacizumab (ate/bev) has been approved as the new standard of care (recommended treatment) for patients with unresectable (cannot be removed through surgery) HCC who have not received previous systemic therapy.

However, identification of patients who could clinically benefit from ate/bev therapy is less clear. To predict clinical response of this treatment, real-world studies have used various scoring systems and blood tests. In this study, to predict clinical response of ate/bev therapy better than previous methods, we have developed a model based on 313 patients with HCC at CHA Bundang Medical Center and this model outperformed previous clinical factors or methods. The model developed and proposed for validation was based on machine-learning techniques. Machine learning is the process of using computers to detect patterns in large datasets and then make predictions based on what the computer learns from those patterns.

We plan to use the patient cohort from the IMbrave150 study as an external validation set for the model developed in our study.
DOI: 10.6084/m9.figshare.26242142
title: Genetic heterogeneity induces non-additive behavioral changes in <i>Drosophila</i>

description: Dataset of behavioral phenotypes in homogenous and heterogeneous groups in <i>Drosophila</i>.
DOI: 10.15468/dl.rnt97v
title: Occurrence Download

description: A dataset containing 1175 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of North Carolina at Greensboro Mammal Collection (Arctos)"
 ]
}

 The dataset includes 1175 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003032-250525065834625/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.29118509
title: Diels-Alder reaction space for self-healing polymer

description: This dataset and checkpoint support the research presented in the paper *"Screening Thermally Reversible Diels-Alder Reactions for Self-Healing Polymers via Integrated Machine Learning and Reaction Profile Calculations"*, and includes high-throughput data related to the generation and analysis of Diels-Alder (DA) reactions. The reactions cover both synthetic diene-dienophile pairs and combinations derived from natural products, facilitating the study of key properties such as thermal responsiveness, reactivity, and reversibility. This dataset can support various research directions, including the design of self-healing polymers, modeling of reaction reversibility, exploration of reaction mechanisms, and development of machine learning models.
DOI: 10.15468/dl.nsn2gw
title: Occurrence Download

description: A dataset containing 609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aesculus chinensis Bunge"
 ]
}

 The dataset includes 609 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003031-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15525157
title: PMB-VID

description: This is the dataset of annotated German verbal PIEs (potentially idiomatic expressions) in the Parallel Meaning Bank accompanying Ehren et al. (2024).
DOI: 10.5281/zenodo.15525158
title: PMB-VID

description: This is the dataset of annotated German verbal PIEs (potentially idiomatic expressions) in the Parallel Meaning Bank accompanying Ehren et al. (2024).
DOI: 10.5281/zenodo.7603203
title: Datafile for HERMES code

description: This repository includes the data files for the code HERMES. The code is described in Dundovic et al., 2021, A&A, 653, A18, arXiv:2105.13165
description: {"references": ["Dundovic et al., 2021, Astronomy & Astrophysics, Volume 653, id. A18, 16 pp., arXiv:2105.13165"]}
DOI: 10.5281/zenodo.15525185
title: Datafile for HERMES code

description: This repository includes the data files for the code HERMES.


The code is described in Dundovic et al., 2021, A&A, 653, A18, arXiv:2105.13165
DOI: 10.5281/zenodo.7603202
title: Datafile for HERMES code

description: This repository includes the data files for the code HERMES.


The code is described in Dundovic et al., 2021, A&A, 653, A18, arXiv:2105.13165
DOI: 10.15468/dl.png4zy
title: Occurrence Download

description: A dataset containing 20688 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Sanicula crassicaulis Poepp. ex DC., Sanicula liberta Cham. & Schltdl., Sanicula graveolens Poepp. ex DC.)"
 ]
}

 The dataset includes 20688 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003028-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/7525366
title: Water levels of rivers in Vietnam
DOI: 10.5281/zenodo.10565522
title: error-Data of the sediment core CJ04-50 from the Ninetyeast Ridge

description: The relevant data on environmental magnetism, major and trace elements in the article.
DOI: 10.5281/zenodo.8196339
title: error-Data of the sediment core CJ04-50 from the Ninetyeast Ridge

description: The relevant data on environmental magnetism, major and trace elements in the article.
DOI: 10.5281/zenodo.8196340
title: Magnetic properties of marine sediments in the Bay of Bengal: Response to the environmental changes of South Asia since 150 ka

description: The relevant data on environmental magnetism, major and trace elements in the article.
DOI: 10.5281/zenodo.15161491
title: Data of the sediment core CJ04‐57 from the Ninetyeast Ridge
DOI: 10.5281/zenodo.15161492
title: Data of the sediment core CJ04‐57 from the Ninetyeast Ridge
DOI: 10.5285/d5675759-de19-4d47-ba5d-f8fb323bdc24
title: Surface and meteorological data of protodune dynamics at Helga's interdune area (north), Gobabeb, Namib Desert, Namibia from September to December 2023

description: This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for measuring early-stage protodunes developing, migrating and eroding on a gravel surface in the Helga's Interdune Area (north), Gobabeb, Namib Desert, Namibia. As well as the TLS data, additional measurements include wind speed with a CSAT 3D sonic anemometer and sediment transport using a Sensit sensor.
DOI: 10.5281/zenodo.15524872
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.15524873
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.18419/darus-4075
title: Replication Data for: Adaptive Preload Control of Cable-Driven Parallel Robots for Handling Task

description: Measurement data and analysis scripts to investigate a novel adaptive preload control (APC) for cable-driven parallel robots.&lt;p&gt;


The measurement data is provided as csv files and consists of two sets:&lt;br&gt;"experiment_std.csv" is the measurement data for the performed motion in STD operation and "experiment_apc.csv" is the data of the APC method.&lt;p&gt;

Additionally, the motion profiles are stored as nc file.&lt;p&gt;

The robot-specific parameters are stored in COPacabana.xml.&lt;p&gt;

To analyze and plot the data, the "main.py" script must be executed using python and the installed packages in "requirements.txt". Additionally, the WiPy.pyd package must be imported.&lt;p&gt;
DOI: 10.15468/dl.fzyyk9
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspalathus grobleri R.Dahlgren"
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003033-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/ukt3-ff88
title: Measurement of Aerosol light scattering at South Pole

description: Measurement of Aerosol light scattering at South Pole
DOI: 10.6084/m9.figshare.29153597
title: <b>Bangladeshi Education with ChatGPT</b>

description: This dataset presents survey, interview, and focus group data from 191 students in Sherpur, Bangladesh, collected as part of a study on the use and impact of ChatGPT in education. It includes responses from both higher secondary and higher education learners, focusing on awareness, usage, digital access, perceived benefits, and institutional support.
DOI: 10.5285/2d5d7a14-8adb-482e-8434-ed0c42884306
title: Surface and meteorological data of saltation and protodune dynamics at Brancaster Beach, UK in December 2019

description: This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for measuring saltation and moisture dynamics as well as early-stage protodunes developing on a moist beach surface. As well as the TLS data, additional measurements include wind speed with a CSAT 3D sonic anemometer and sediment transport using a Sensit and Wenglor fork sensors. Sediment traps were also used for sediment transport, and grain size of the trapped sand was measured.
DOI: 10.5281/zenodo.10806007
title: EDXRF DATA: An archaeological and archaeometric study of Late Punic-Roman Pottery from the Tas-Silġ Sanctuary and the Żejtun Villa, Malta

description: These datasets comprise Energy Dispersive X-Ray Fluorescence (EDXRF) raw data collected from Late Punic - Early Roman vessel sherds excavated at the Żejtun Villa and the Tas-Silġ Sanctuary archaeological sites in Malta.

These data are used in the following publication: Richard-Trémeau, E. et al. (2024) ‘An archaeological and archaeometric study of Late Punic–Roman Pottery from the Tas-Silġ Sanctuary and the Żejtun Villa, Malta’, Libyan Studies, pp. 1–21. doi:10.1017/lis.2024.7.

The data were analysed and processed by Emma Richard-Trémeau, Joseph Grech and Alexandra Humann as part of the 'Compiling Fabric Identity for Pottery from Maltese Sites' (CoFIPoMS) project under the supervision of Dr. Ing. John Charles Betts at the University of Malta.

These datasets include readings for both pottery sherds and raw materials (local samples of clay). These datasets are compositional.

This Zenodo entry contains:



RAW DATA (Zip file): The raw data generated by the EDXRF for all samples analysed, expressed as oxides in %. Four spreadsheets are available: the data for the clays; the data for the pottery; and repeated readings for one sample of clay (QL.B1) and one sample of pottery (Sample 21). 

ASSESSMENT: This spreadsheet presents the standard deviation and relative standard deviation for the repeated samples QL.B1 and Sample 21. This allows assessment of the repeatability of the reading for each oxide.

TRANSFORMED DATA: This spreadsheet presents the original dataset, the conversion of the trace elements from oxide (%) to trace (ppm), the normalisation of the data without sodium oxide and the scaling to 100%.

FINAL DATASET: This spreadsheet presents the chosen variables and selected samples normalised and then logged to base 10. 


This data was generated using a Bruker S2 Ranger with internal calibration.

Additional information can be accessed at: -https://www.um.edu.mt/library/oar/handle/123456789/109715-https://www.um.edu.mt/projects/cofipoms/ or by contacting the first author: https://www.researchgate.net/profile/Emma-Richard-Tremeau/research. 

These datasets are under Creative Commons Attribution 4.0 International: they can be used and shared as long as they are properly accredited to the authors of this entry.