cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31229326.v1
title: A publicly available 12-lead electrocardiogram criti-cal value dataset covering 13126 records

description: This project collected 13,126 12-lead electrocardiogram (ECG) records from the First Affiliated Hospital of Zhengzhou University from June 2015 to November 2024, and constructed the ZZU-ZUA ECG critical value database. The ECG records in this database were from 9,785 patients, with recording durations ranging from 7 to 198 seconds, a sampling rate of 500 Hz, and covering 15 types of critical arrhythmias. All samples were labeled and verified by professional physicians. This database can be directly used for research related to arrhythmia detection.
DOI: 10.17861/488cfea0-1215-4886-b7ea-86b4b8ea1392
title: Data accompanying: Enhancing spatial selectivity and depth sensitivity in time-domain diffuse optical tomography with a prior-free weighting scheme

description: Dataset and code to accompany publication
DOI: 10.5281/zenodo.13901166
title: C-COMPASS Example Data

description: Example Proteomics Dataset for C-COMPASS

This dataset is a simulated example of proteomics dataset containing 8 compartments across 16 fractions over 3 replicates for 2 conditions, including relocalizations. The data is simulated to be highly comparable to a real spatial proteomics dataset based on gradient fractionation, and contains controlled random variations and noises that mimic real experimental variation.

The purpose of this dataset is, to test or validate C-COMPASS, or to have a prepared session that helps handling the GUI of C-COMPASS.

 

sim_08_16_FractionationData.txt:Simulated fractionation dataset for the above mentioned dataset. It can be imported to C-COMPASS for spatial proteomics analysis.

sim_08_16_MarkerList.txt:Simulated marker list, fitting to the above mentioned fractionation dataset. It can be imported to C-COMPASS to assign markers for the 8 simulated compartments, and is necessary for spatial predictions.

sim_08_16_TotalProteomeData.txt:Simulated total proteome dataset, fitting to the above mentioned fractionation dataset. This can be imported to C-COMPASS to calculate class-centric changes across conditions.

sim_08_16_CCMPSsession_start.npy:Prepared C-COMPASS session that can be loaded. This session provides a starting point for a C-COMPASS analysis of the simulated data where the gradient samples are pre-defined, but all the following steps are not yet done.

sim_08_16_CCMPSsession_processed.npy:Prepared C-COMPASS session that can be loaded. This session provides a fully analyzed state of the simulated data. Results can be exported and plots can be generated. Each processing step can be re-done via the corresponding 'reset' button.
DOI: 10.5281/zenodo.13901167
title: C-COMPASS Example Data

description: Example Proteomics Dataset for C-COMPASS

This dataset is an example of proteomics data generated from gradient centrifugation. It is provided exclusively to the reviewers of the manuscript titled "C-COMPASS: A User-Friendly Neural Network Tool for Profiling Cell Compartments at Protein and Lipid Levels."

Until the manuscript is accepted, this dataset remains unpublished and is intended solely for testing the functionality of C-COMPASS. Any further use or distribution of the data is strictly prohibited.

 

C-COMPASS_session.npy: Ready-to-use session that can be opened in C-COMPASS. All processing steps were already performed hers.

C-COMPASS_ProteomeInput.tsv: Complete dataset including Fractionation and TotalProteome data. This can be used to reproduce the analysis. The containing data is equal to the dataset that was used for the research article. Samples with “Gradient” in their names correspond to the fractionation data, while samples labeled “TotalProteome” correspond to the total proteome data. This file should be added to both the Fractionation and TotalProteomes tabs, and the non-relevant samples should be removed from each tab accordingly.

C-COMPASS_MarkerList.txt: This list contains a compatible marker list that can be used to analyze the data from C-COMPASS_ProteomeInput.tsv. It is the same marker list that was used for the research article.
DOI: 10.15468/dl.67uu9p
title: Occurrence Download

description: A dataset containing 2521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neea psychotrioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2521 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011219-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjrctt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetranychus cinnabarinus",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011220-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b85gpu
title: Occurrence Download

description: A dataset containing 54251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis capillaris, Agrostis tenuis, Agrostis tenuis, Agrostis tenuis, Agrostis tenuis, Agrostis vulgaris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 54251 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011193-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nch8vz
title: Occurrence Download

description: A dataset containing 121115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fucus vesiculosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 121115 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011187-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16907/e9376ecb-dc28-4cc3-9529-8a0933291e8b
title: Modelling of radiation damage and beam induced crystal heating of room-temperature samples at extremely high flux MX beamlines for time-resolved crystallography applications

description: The upgrade of the 3rd generation synchrotrons to diffraction-limited storage rings will enable a gain of up to two orders of magnitude in brilliance and further enable the creation of multiple macromolecular crystallography (MX) beamlines capable of delivering fluxes in excess of 1x10^15 photons·s−1; here called extremely high flux (EHF) MX beamlines. These beamlines, such as ID29, ESRF-EBS, BioCARS, APS-U, and MicroMAX, MAX IV, have all either been partly or solely geared toward delivering time-resolved MX experiments at room temperature and realising microsecond time resolutions. Given the uncharted territory of using dose rates in excess of 50 GGy·s−1 at many facilities, this article has examined some of the expected consequences suggesting that considerable attention should be paid to beam heating effects for < 20 μm crystals exposed to 1x10^15 photons·s−1. Several strategies have been proposed to mitigate heating effects when high dose rates are required for a time-resolved experiment, including reducing the absorbed dose by increasing the size of the crystal and the beam profile and explicitly exploiting the motion of the crystal in serial crystallography delivery systems. The model presented here is intended to serve as a useful tool to inform experimental design and support users’ decision-making in such cases.
DOI: 10.5281/zenodo.18479385
title: Data and code for the study "The interplay of climate change, urbanization, and species traits shapes European butterfly population trends".

description: Data and code for the study "The interplay of climate change, urbanization, and species traits shapes European butterfly population trends".

Authors: Pau Colom, Ashley Tejeda, Simona Bonelli, Benoit Fontaine, Mikko Kuussaari, Dirk Maes, Xavier Mestdagh, Miguel L Munguira, Martin Musche, Lars B Pettersson, David Roy, Johannes Rudisser, Martina Sasic, Reto Schmucki, Constanti Stefanescu, Nicolas Titeux, Josef Settele, Chris van Swaay, Javier Gordillo, Yolanda Melero.Title: The interplay of climate change, urbanization, and species traits shapes European butterfly population trendsJournal: Global Ecology and Biogeography, accepted (23/1/26). DOI: 10.1111/geb.70204. ; ID: 7169397).Year: 2026IF (2020): 6.9, IF-5 years: 7.1 Q1 ECOLOGY 

The file 'final_df.csv' contains the processed dataset used to run the models and generate the figures found in 'models_plots_fig1.R' and 'models_plots_fig2.R'.

Raw butterfly count data are not included, as they cannot be shared without prior permission and a data-sharing agreement with the European Butterfly Monitoring Scheme (EBMS): https://butterfly-monitoring.net/ebms-database.
DOI: 10.5281/zenodo.16100929
title: Data and code for the study "The interplay of climate change, urbanization, and species traits shapes European butterfly population trends".

description: Data and code for the study "The interplay of climate change, urbanization, and species traits shapes European butterfly population trends".

Authors: Pau Colom, Ashley Tejeda, Simona Bonelli, Benoit Fontaine, Mikko Kuussaari, Dirk Maes, Xavier Mestdagh, Miguel L Munguira, Martin Musche, Lars B Pettersson, David Roy, Johannes Rudisser, Martina Sasic, Reto Schmucki, Constanti Stefanescu, Nicolas Titeux, Josef Settele, Chris van Swaay, Javier Gordillo, Yolanda Melero.Title: The interplay of climate change, urbanization, and species traits shapes European butterfly population trendsJournal: Global Ecology and Biogeography, accepted (23/1/26). DOI: 10.1111/geb.70204. ; ID: 7169397).Year: 2026IF (2020): 6.9, IF-5 years: 7.1 Q1 ECOLOGY 

The file 'final_df.csv' contains the processed dataset used to run the models and generate the figures found in 'models_plots_fig1.R' and 'models_plots_fig2.R'.

Raw butterfly count data are not included, as they cannot be shared without prior permission and a data-sharing agreement with the European Butterfly Monitoring Scheme (EBMS): https://butterfly-monitoring.net/ebms-database.
DOI: 10.48733/ifjpan/jtsy7i
title: Reshaping the tumor lipidome: nanospectroscopic insights into cannabidiol-radiation synergy in MPNST cells - research data

description: Dataset used for construction of all figures and calculations presented in the manuscript “Reshaping the tumor lipidome: nanospectroscopic insights into cannabidiol-radiation synergy in MPNST cells”. 
This dataset includes four (4) Excel files containing raw and processed spectroscopic data used to generate Figures 1-4 in the referenced manuscript. The spectra data were processed to obtain second derivative spectra.
Integration of selected bands was performed on second derivative spectra.
DOI: 10.15468/dl.64y57j
title: Occurrence Download

description: A dataset containing 2734155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elassoma alabamae, Elassoma boehlkei, Elassoma evergladei, Elassoma okatie, Elassoma okefenokee, Elassoma zonatum, Elates ransonnettii, Elattarchus archidium, Electrona antarctica, Electrona carlsbergi, Electrona risso, Electrophorus, Electrophorus electricus, Electrophorus varii, Electrophorus voltai, Eleginops maclovinus, Eleginus gracilis, Eleotris, Eleotris acanthopoma, Eleotris amblyopsis, Eleotris fusca, Eleotris klunzingerii, Eleotris melanosoma, Eleotris oxycephala, Eleotris picta, Eleutherochir mccaddeni, Eleutherochir opercularis, Eleutheronema rhadinum, Eleutheronema tetradactylum, Ellochelon vaigiensis, Ellopostoma mystax, Elopichthys bambusa, Elops affinis, Elops hawaiensis, Elops lacerta, Elops machnata, Elops saurus, Elops senegalensis, Elops smithi, Embassichthys bathybius, Embiotoca jacksoni, Embiotoca lateralis, Emblemaria hypacanthus, Emblemaria pandionis, Emmelichthys karnellai, Emmelichthys nitidus, Emmelichthys, Emmelichthys struhsakeri, Empetrichthys latos, Encheliophis gracilis, Encheliophis vermicularis, Encheliophis vermiops, Enchelycore anatina, Enchelycore bayeri, Enchelycore carychroa, Enchelycore kamara, Enchelycore lichenosa, Enchelycore nigricans, Enchelycore pardalis, Enchelynassa canina, Enchelyopus cimbrius, Enchelyurus ater, Enchelyurus brunneolus, Enchelyurus flavipes, Enchelyurus kraussii, Encrasicholina heteroloba, Encrasicholina pseudoheteroloba, Encrasicholina punctifer, Engraulicypris brevianalis, Engraulis encrasicolus, Engraulis eurystole, Engraulis japonicus, Engraulis mordax, Engraulis ringens, Engraulis tricolor, Engyophrys senta, Engyprosopon grandisquama, Engyprosopon hureaui, Engyprosopon longipelvis, Engyprosopon macrolepis, Engyprosopon maldivense, Engyprosopon multisquama, Enneacampus ansorgii, Enneacanthus chaetodon, Enneacanthus gloriosus, Enneacanthus obesus, Enneacanthus, Enneanectes altivelis, Enneanectes boehlkei, Enneanectes carminalis, Enneanectes glendae, Enneanectes macrops, Enneanectes pectoralis, Enneanectes reticulatus, Enneapterygius)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2734155 records from 788 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011186-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.byprpe
title: Occurrence Download

description: A dataset containing 65278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.190605 39.000016, -87.241613 39.066120, -87.328337 39.066120, -87.277278 39.000016, -87.190605 39.000016))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 65278 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011179-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14728584
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.15468/dl.hzxv3e
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetranychus urticae",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 507 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011221-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4jnea
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctaginia capitata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 327 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011222-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6svyxz
title: Occurrence Download

description: A dataset containing 2577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis rupestris, Agrostis rupestris, Agrostis rupestris, Agrostis rupestris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2577 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011223-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2pqw6j
title: CCDC 2494638: Experimental Crystal Structure Determination

description: Related Article: Honghao Cao|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.18479434
title: physics-informed machine learning for accurate and interpretable prediction of droplet size in flow-focusing microfluidics
DOI: 10.5281/zenodo.18479435
title: physics-informed machine learning for accurate and interpretable prediction of droplet size in flow-focusing microfluidics
DOI: 10.5517/ccdc.csd.cc2q0p9r
title: CCDC 2503104: Experimental Crystal Structure Determination

description: Related Article: Ping Wang, Qiya Huang, Xiaoli Meng, Lehui Liu, Qi Wu, Hongming Liu|2026|Inorg.Chem.Front.|||doi:10.1039/d5qi02396c
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48733/ifjpan/hzwxfj
title: Photothermal infrared imaging of nanoplastics in human cells with nanoscale resolution - research data

description: This dataset contains research data (spectra) obtained using Fourier-transform infrared spectroscopy (FT-IR), Raman spectroscopy (RS), atomic force microscopy coupled with infrared spectroscopy (AFM-IR), optical photothermal infrared spectroscopy (O-PTIR), as well as cell viability testing (MTS assay). The study involved non-cancerous cells (fibroblasts) and cancerous cells (LN-229, glioblastoma), which were treated with various concentrations of fluorescently labeled polystyrene nanoparticles (PS-NPs). The collected data were processed and analyzed, and the results were used to prepare the manuscript entitled “Photothermal infrared imaging of nanoplastics in human cells with nanoscale resolution”, which has been submitted to ACS Applied Materials & Interfaces.
DOI: 10.5517/ccdc.csd.cc2mp0cq
title: CCDC 2433263: Experimental Crystal Structure Determination

description: Related Article: Linkui Wang, Qihui Chen, Xiaopeng Li, Qing‐Fu Sun, Maochun Hong|2026|Angew.Chem.,Int.Ed.|65|e18872|doi:10.1002/anie.202518872
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qpx8m
title: CCDC 2523501: Experimental Crystal Structure Determination

description: Related Article: XIUYAN Qiu|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qvbzx
title: CCDC 2527770: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Manfred Döring|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qvbmk
title: CCDC 2527759: Experimental Crystal Structure Determination

description: Related Article: Aziz Fauzi, I Wayan Dasna, Sutandyo Dwija Laksmana|2026|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.f9yaj3
title: Occurrence Download

description: A dataset containing 20111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.191189 38.951320, -87.242056 39.017359, -87.328679 39.017359, -87.277761 38.951320, -87.191189 38.951320))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 20111 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011226-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssu6z8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trogoderma granarium",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011227-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2u86rn
title: Occurrence Download

description: A dataset containing 23206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrostis gigantea, Agrostis stolonifera, Agrostis stolonifera, Agrostis stolonifera, Agrostis stolonifera, Agrostis alba, Agrostis alba, Agrostis alba)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 23206 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011228-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.