cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26z7r6
title: CCDC 2054858: Experimental Crystal Structure Determination

description: Related Article: Qiang Chen, Shikai Xian, Xinglong Dong, Yanyao Liu, Hao Wang, David H. Olson, Lawrence J. Williams, Yu Han, Xian-He Bu, Jing Li|2021|Angew.Chem.,Int.Ed.|60|10593|doi:10.1002/anie.202100707
DOI: 10.5517/ccdc.csd.cc27077r
title: CCDC 2055803: Experimental Crystal Structure Determination

description: Related Article: Xiufen Bi, Jia Feng, Xiaoping Xue, Zhenhua Gu|2021|Org.Lett.|23|3201|doi:10.1021/acs.orglett.1c00935
DOI: 10.5517/ccdc.csd.cc27079t
title: CCDC 2055805: Experimental Crystal Structure Determination

description: Related Article: Xiufen Bi, Jia Feng, Xiaoping Xue, Zhenhua Gu|2021|Org.Lett.|23|3201|doi:10.1021/acs.orglett.1c00935
DOI: 10.5517/ccdc.csd.cc277cjd
title: CCDC 2062663: Experimental Crystal Structure Determination

description: Related Article: Chan Shu, Maren Pink, Tobias Junghoefer, Elke Nadler, Suchada Rajca, Maria Benedetta Casu, Andrzej Rajca|2021|J.Am.Chem.Soc.|143|5508|doi:10.1021/jacs.1c01305
DOI: 10.5517/ccdc.csd.cc277ckf
title: CCDC 2062664: Experimental Crystal Structure Determination

description: Related Article: Chan Shu, Maren Pink, Tobias Junghoefer, Elke Nadler, Suchada Rajca, Maria Benedetta Casu, Andrzej Rajca|2021|J.Am.Chem.Soc.|143|5508|doi:10.1021/jacs.1c01305
DOI: 10.5517/ccdc.csd.cc277pw2
title: CCDC 2062984: Experimental Crystal Structure Determination

description: Related Article: Matteo Faltracco, Said Ortega-Rosales, Elwin Janssen, Răzvan C. Cioc, Christophe M. L. Vande Velde, Eelco Ruijter|2021|Org.Lett.|23|3100|doi:10.1021/acs.orglett.1c00785
DOI: 10.21227/qjnr-re50
title: Activity Detection

description: Wearable sensors can efficiently detect human body movements with the ability to be extended to an Internet-ofThings (IoT) platform. In this platform, integration of wearable sensors, smartphones, and activity recognition takes place on a web-based application. A SensorTile kit from STMicroelectronics [85] is an IoT module that packs powerful processing capabilities and is mostly used for activity detection. It consists of a 3-axis accelerometer, 3-axis gyroscope, 3-axis Magnetometer and Pressure, Temperature, and Humidity sensors.
DOI: 10.6084/m9.figshare.12251468
title: The Diorisis Ancient Greek Corpus (JSON)

description: An updated JSON version of the Diorisis Ancient Greek Corpus optimised for use with the Diorisis Search desktop application (https://www.crs.rm.it/diorisissearch/).Current version: 1.5
DOI: 10.6084/m9.figshare.12251468.v5
title: The Diorisis Ancient Greek Corpus (JSON)

description: An updated JSON version of the Diorisis Ancient Greek Corpus optimised for use with the Diorisis Search desktop application (https://www.crs.rm.it/diorisissearch/).Current version: 1.5
DOI: 10.5517/ccdc.csd.cc27df14
title: CCDC 2067515: Experimental Crystal Structure Determination

description: Related Article: Long Hu, Martin C. Dietl, Chunyu Han, Matthias Rudolph, Frank Rominger, A. Stephen K. Hashmi|2021|Angew.Chem.,Int.Ed.|60|10637|doi:10.1002/anie.202016595
DOI: 10.21227/74te-8667
title: TNDA-HAR

description: This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 23 subjects were involved in the experiments.
DOI: 10.21227/4epb-pg26
title: TNDA-HAR

description: This dataset is proposed for human activity recognition tasks. The static activities including sitting, standing, and laying, as well as walking, running, cycling, and walking upstairs/downstairs. Each activity lasts for 2 minutes, 23 subjects were involved in the experiments.
DOI: 10.6084/m9.figshare.14522778.v1
title: Assessing Preoperative Hope and Expectations Related to Functional Neurosurgery: A New Questionnaire.

description: Included files: 1. Dataset:<br>1. File “<b>Exploratory Factor Analysis Data</b>” contains data for items selection (based on abstract vs. concrete features) and for reliability analyses, using the JASP Software (Version 0.12.1.0); (CSV).<br>2. File “<b>Psychometric properties & Group comparisons</b>” contains data for conducting regression analyses (aimed at examining independent correlations between PHEQ measures and the other variables of interest) and group comparisons, using the Statistica Software (Version 13.5); (XLSX).<br>3. <b>Syntax file</b>: Contains the detailed procedure using the JASP (Version 0.12.1.0) and the Statistica (Version 13.5) softwares; (PDF).<br>4. <b>Explanatory memo</b>: explanations of the content of enclosed files and help with regard to the analysis; (PDF).<br>5. <b>Log file</b>: output with results from the software that has been used for the analysis; (PDF).<br>
DOI: 10.6084/m9.figshare.14524980
title: Questionnaire-pesticide and obesity

description: Questionnaires used for data collection in the study of pesticide exposure and obesity in Thailand<br>
DOI: 10.5519/qd.xpx4slld
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (285 records)
DOI: 10.5281/zenodo.4731480
title: Database of Last Interglacial (MIS 5e) sea-level proxies on tropical Pacific islands

description: A standardized database of Marine Isotopic Stage 5e sea-level proxies on tropical Pacific islands
DOI: 10.5519/qd.qja5bnx4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (285 records)
DOI: 10.25345/c5j239
title: MassIVE MSV000087346 - Integrated non-targeted lipidomics and metabolomics analyses for fluctuations of neonicotinoids imidacloprid and acetamiprid on Neuro-2a cells
title: These data and results are supplementary material for the manuscript: Integrated non-targeted lipidomics and metabolomics analyses for fluctuations of neonicotinoids imidacloprid and acetamiprid on Neuro-2a cells
DOI: 10.6084/m9.figshare.14525187
title: Dataset

description: Datasets consisting of input spike times, random noise (spike times), synaptic weights (gaussian, log-normal, binary) and convoluted signals.
DOI: 10.6084/m9.figshare.14525187.v1
title: Dataset

description: Datasets consisting of input spike times, random noise (spike times), synaptic weights (gaussian, log-normal, binary) and convoluted signals.
DOI: 10.15161/oar.it/73755
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4731606
title: Azotea Dataset

description: Latest monthly AZOTEA reduced CSV files
DOI: 10.25505/fiz.icsd.cc2111gm
title: CSD 1877839: Experimental Crystal Structure Determination

description: Related Article: M. Conrad, T. Schleid|2019|Z.Krist. - Supplement issues|39|85|
DOI: 10.25505/fiz.icsd.cc21w4tx
title: CSD 1902929: Experimental Crystal Structure Determination

description: Related Article: S. Greiner, T. Schleid|2019|Z.Krist. - Supplement issues|39|94|
DOI: 10.25505/fiz.icsd.cc21pt7t
title: CSD 1897796: Experimental Crystal Structure Determination

description: Related Article: Maurice Conrad,  T. Schleid|2021|Z.Krist. - Supplement issues|41|71|
DOI: 10.25838/d5p-19
title: TopDomain dataset v2.0

description: This is the TopDomain dataset v2.0 as described in: "TopDomain: Exhaustive Protein Domain Boundary Meta-Prediction Combining Multi-Source Information and Deep Learning" by Daniel Mulnaes, Pegah Golchin, Filip Koenig, and Holger Gohlke. This dataset contains three folder: dataset : Contains the full dataset and the TopDomain and TopDomainSeq predictions for the dataset training_set : Contains the fasta files of the TopDomain training set test_set : Contains the fasta files of the TopDomain test set Each fasta file has a header with three fields, in the following format: &gt;system_name|domain_type|boundary_list Where: system_name contains the PDB ID and chain ID of the target protein domain_type contains target type, either single-domain or multi-domain boundary_list contains a list of residues annotated as domain boundaries separated by spaces, this field is empty for single-domain proteins as they have no domain boundaries The sequence is the fasta-sequence of the protein each line contains at most 100 residues of the protein sequence No protein in the test set shares more than 20% sequence identity to any protein in the training set.
DOI: 10.6084/m9.figshare.14480769.v1
title: phenotype_to_genes.txt

description: Sebastian Köhler, Michael Gargano, Nicolas Matentzoglu, Leigh C Carmody, David Lewis-Smith, Nicole A Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M Brower, Tiffany J Callahan, Christopher G Chute, Johanna L Est, Peter D Galer, Shiva Ganesan, Matthias Griese, Matthias Haimel, Julia Pazmandi, Marc Hanauer, Nomi L Harris, Michael J Hartnett, Maximilian Hastreiter, Fabian Hauck, Yongqun He, Tim Jeske, Hugh Kearney, Gerhard Kindle, Christoph Klein, Katrin Knoflach, Roland Krause, David Lagorce, Julie A McMurry, Jillian A Miller, Monica C Munoz-Torres, Rebecca L Peters, Christina K Rapp, Ana M Rath, Shahmir A Rind, Avi Z Rosenberg, Michael M Segal, Markus G Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A Wiafe, Julie Xian, Zafer Yüksel, Ingo Helbig, Christopher J Mungall, Melissa A Haendel, Peter N Robinson, The Human Phenotype Ontology in 2021, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D1207–D1217, https://doi.org/10.1093/nar/gkaa1043
DOI: 10.6084/m9.figshare.14480769
title: phenotype_to_genes.txt

description: Sebastian Köhler, Michael Gargano, Nicolas Matentzoglu, Leigh C Carmody, David Lewis-Smith, Nicole A Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M Brower, Tiffany J Callahan, Christopher G Chute, Johanna L Est, Peter D Galer, Shiva Ganesan, Matthias Griese, Matthias Haimel, Julia Pazmandi, Marc Hanauer, Nomi L Harris, Michael J Hartnett, Maximilian Hastreiter, Fabian Hauck, Yongqun He, Tim Jeske, Hugh Kearney, Gerhard Kindle, Christoph Klein, Katrin Knoflach, Roland Krause, David Lagorce, Julie A McMurry, Jillian A Miller, Monica C Munoz-Torres, Rebecca L Peters, Christina K Rapp, Ana M Rath, Shahmir A Rind, Avi Z Rosenberg, Michael M Segal, Markus G Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A Wiafe, Julie Xian, Zafer Yüksel, Ingo Helbig, Christopher J Mungall, Melissa A Haendel, Peter N Robinson, The Human Phenotype Ontology in 2021, Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D1207–D1217, https://doi.org/10.1093/nar/gkaa1043
DOI: 10.5281/zenodo.4731923
title: Learning Assistance through Adaptive Assessment

description: This dataset is used to predict the proficiency of candidate in an assessment.
DOI: 10.5281/zenodo.4731922
title: Learning Assistance through Adaptive Assessment

description: This dataset is used to predict the proficiency of candidate in an assessment.
DOI: 10.25646/8433
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.7776896.v1
title: Phytochemistry and antiplasmodial activity of <i>Xylopia sericea</i> leaves

description: Aiming to investigate the antiplasmodial activity and the phytochemical composition of <i>Xylopia sericea</i> leaves, the essential oil and dichloromethane extract were analyzed by gas and liquid chromatography, respectively, both of them coupled to mass spectrometry, and were evaluated against the chloroquine-resistant <i>Plasmodium falciparum</i> strain (W2) and for cytotoxicity to HepG2 cells. Low growth inhibition of <i>P. falciparum</i> as well as low cytotoxicity to HepG2 cells were observed for the essential oil. The leaves dichloromethane extract showed moderate growth inhibition of <i>P. falciparum</i> and low cytotoxicity to HepG2 cells. Bioguided chromatographic fractionation of this extract led to fractions with increased antiplasmodial activity from which liriodenine (IC<sub>50</sub> 6.1 ± 0.1 μg/mL, CC<sub>50</sub> &gt; 1000.0 μg/mL, SI &gt; 164), an aporphine alkaloid, and an acetogenin-rich fraction containing mainly isomers of annomontacin and 4-deoxy-annomontacin (IC<sub>50</sub> 22.7 ± 1.9 µg/mL, CC<sub>50</sub> 336.1 ± 15.5 µg/mL, SI = 15) might be highlighted for their antiplasmodial activity.
DOI: 10.6084/m9.figshare.7776896
title: Phytochemistry and antiplasmodial activity of <i>Xylopia sericea</i> leaves

description: Aiming to investigate the antiplasmodial activity and the phytochemical composition of <i>Xylopia sericea</i> leaves, the essential oil and dichloromethane extract were analyzed by gas and liquid chromatography, respectively, both of them coupled to mass spectrometry, and were evaluated against the chloroquine-resistant <i>Plasmodium falciparum</i> strain (W2) and for cytotoxicity to HepG2 cells. Low growth inhibition of <i>P. falciparum</i> as well as low cytotoxicity to HepG2 cells were observed for the essential oil. The leaves dichloromethane extract showed moderate growth inhibition of <i>P. falciparum</i> and low cytotoxicity to HepG2 cells. Bioguided chromatographic fractionation of this extract led to fractions with increased antiplasmodial activity from which liriodenine (IC<sub>50</sub> 6.1 ± 0.1 μg/mL, CC<sub>50</sub> &gt; 1000.0 μg/mL, SI &gt; 164), an aporphine alkaloid, and an acetogenin-rich fraction containing mainly isomers of annomontacin and 4-deoxy-annomontacin (IC<sub>50</sub> 22.7 ± 1.9 µg/mL, CC<sub>50</sub> 336.1 ± 15.5 µg/mL, SI = 15) might be highlighted for their antiplasmodial activity.
DOI: 10.5519/qd.a3jjjhhs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3678 records)
DOI: 10.5517/ccdc.csd.cc26xf1m
title: CCDC 2053100: Experimental Crystal Structure Determination

description: Related Article: Jakob Blahusch, Douglas H. Fabini, Alberto Jiménez‐Solano, Bettina V. Lotsch|2021|Z.Anorg.Allg.Chem.|647|857|doi:10.1002/zaac.202000484
DOI: 10.5517/ccdc.csd.cc26xf0l
title: CCDC 2053099: Experimental Crystal Structure Determination

description: Related Article: Jakob Blahusch, Douglas H. Fabini, Alberto Jiménez‐Solano, Bettina V. Lotsch|2021|Z.Anorg.Allg.Chem.|647|857|doi:10.1002/zaac.202000484
DOI: 10.5517/ccdc.csd.cc26xf2n
title: CCDC 2053101: Experimental Crystal Structure Determination

description: Related Article: Jakob Blahusch, Douglas H. Fabini, Alberto Jiménez‐Solano, Bettina V. Lotsch|2021|Z.Anorg.Allg.Chem.|647|857|doi:10.1002/zaac.202000484
DOI: 10.25505/fiz.icsd.cc26x2w3
title: CSD 2052785: Experimental Crystal Structure Determination

description: Related Article: Alexandra Friedly, P. L. Lange, B. M. Schulz, T. Schleid|2021|Z.Krist. - Supplement issues|41|76|
DOI: 10.25505/fiz.icsd.cc26y4gs
title: CSD 2053795: Experimental Crystal Structure Determination

description: Related Article: Patrik Djendjur, Björn Blaschkowski, Thomas Schleid|2021|Z.Krist. - Supplement issues|41|72|
DOI: 10.6084/m9.figshare.14525442
title: Pan-genome-of-9-Gh-cultivars-based-on-TM-1.gff3

description: Pan-genome of nine upland cotton cultivars based on TM-1
DOI: 10.6084/m9.figshare.14525442.v1
title: Pan-genome-of-9-Gh-cultivars-based-on-TM-1.gff3

description: Pan-genome of nine upland cotton cultivars based on TM-1
DOI: 10.6084/m9.figshare.12743687.v8
title: Balancing selection maintains ancient polymorphisms at conserved enhancers for the olfactory receptor genes of a Chinese marine fish

description: These files consist of -a) Supplementary figs. S1, S2, S3, S11 and S12 <br>b) Supplementary tables S1-S30, S3, S5, S12, S19 and S20.<br>
DOI: 10.5281/zenodo.4732268
title: Interfacial Ferroelectricity by van der Waals Sliding

description: SI and Figures
DOI: 10.5281/zenodo.4732267
title: Interfacial Ferroelectricity by van der Waals Sliding

description: SI and Figures
DOI: 10.25345/c5dc01
title: MassIVE MSV000087347 - Fungus_Q0371-CE_20200501_NRPs_GNPS
title: Fungal highly reducing polyketide synthases (HRPKSs) are highly programmed multidomain enzymes that synthesize reduced polyketide structures. Recent reports indicated salicylaldehydes are synthesized by HRPKS biosynthetic gene clusters.
DOI: 10.25345/c58j8j
title: MassIVE MSV000087348 - GNPS Trichoderma secondary metabolites positive mode
title: Endophytic Trichoderma sp. Secondary metabolites. Ethyl acetate extract. LC-MS/MS positive mode
DOI: 10.6084/m9.figshare.14525439
title: Pan-genome-of-9-Gh-cultivars-based-on-TM-1.fa.gz

description: Pan-genome of nine upland cotton cultivars based on TM-1.
DOI: 10.6084/m9.figshare.14525439.v1
title: Pan-genome-of-9-Gh-cultivars-based-on-TM-1.fa.gz

description: Pan-genome of nine upland cotton cultivars based on TM-1.
DOI: 10.6084/m9.figshare.14525457
title: Distribution of cpSSR of Syringa reticulata subsp. amurensis.docx

description: Distribution of cpSSR of Syringa reticulata subsp. amurensis
DOI: 10.6084/m9.figshare.14525457.v2
title: Distribution of cpSSR of Syringa reticulata subsp. amurensis.docx

description: Distribution of cpSSR of Syringa reticulata subsp. amurensis
DOI: 10.6084/m9.figshare.14525457.v1
title: 表 1 暴马丁香叶绿体微卫星分布特征.docx

description: Distribution of cpSSR Characteristics of Syringa reticulata subsp. amurensis
DOI: 10.34740/kaggle/dsv/2180600
title: Nepal ICU and Ventilators Occupancy for COVID
DOI: 10.25345/c54v58
title: MassIVE MSV000087349 - Long-term ethanol exposure project
title: Proteomic analyssis of hiPSC-CMs treated with long-term ethanol
DOI: 10.6084/m9.figshare.14525466
title: NEUROLOGY 2021 170855 Supplemental References.docx

description: Supplemental references
DOI: 10.6084/m9.figshare.14525466.v1
title: NEUROLOGY 2021 170855 Supplemental References.docx

description: Supplemental references
DOI: 10.21227/y1sh-w048
title: Geometrically Shaped Constellations (2D) for a Low Complexity Partially-Coherent AWGN Demapper

description: 2D geometrically shaped constellations that are simultaneously robust to both residual phase noise (RPN) and AWGN (named as LCM-RPN, where LC is the low-complexity receiver metric from [1]) for 8 to 64-ary PCAWGN reception using a mismatched PCAWGN model. We added AWGN-only shaped constellations (LCM-AWGN) to serve as a reference; the term M is the modulation cardinality.Note: This is a supplementary dataset for journal submission. The uploaded constellations are optimised for a low-complexity PCAWGN demapper from [1], although they may also work well with the exact channel model and other PCAWGN approximations. Each of the constellations comes with linewidth symbol time product, SNR (i.e. signal to noise ratio) and RPN variance. [1] M. Sales-Llopis and S. J. Savory, "Approximating the Partially Coherent Additive White Gaussian Noise Channel in Polar Coordinates," in IEEE Photonics Technology Letters, vol. 31, no. 11, pp. 833-836, 1 June 1, 2019, DOI: 10.1109/LPT.2019.2909803.
DOI: 10.25345/c5123n
title: MassIVE MSV000087350 - Molecular and Functional Alterations of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Post Carfilzomib Treatmen
title: Proteomic investigation of hiPSC-CMs post-Cfz treatment
DOI: 10.6084/m9.figshare.14131655.v2
title: Adolescent Thyroid Disorders and Risk for Type 2 Diabetes in Young Adults - Supplementary Material

description: Supplementary Material:Tables S1-S2Figures S1-S4
DOI: 10.25345/c5wc1r
title: MassIVE MSV000087351 - Investigating hiPSC-CMs_DongLi
title: Proteomic analysis of hiPSC-CMs with drug treatment
DOI: 10.6084/m9.figshare.13275323
title: Short Term Mortality Fluctuations series at the Human Mortality Database

description: The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the newly emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.Version date: 01.05.2021
DOI: 10.6084/m9.figshare.13275323.v3
title: Short Term Mortality Fluctuations series at the Human Mortality Database

description: The COVID-19 pandemic has revealed substantial coverage and quality gaps in existing international and national statistical monitoring systems. It is striking that obtaining timely, accurate, and comparable across countries data in order to adequately respond to unexpected epidemiological threats is very challenging. The most robust and reliable approach to quantify the mortality burden due to short-term risk factors is based on estimating weekly excess deaths. This approach is more reliable than monitoring deaths with COVID-19 diagnosis or calculating incidence or fatality rates affected by numerous problems such as testing coverage and comparability of diagnostic approaches. In response to the newly emerging data challenges, a new data resource on weekly mortality has been established. The Short-term Mortality Fluctuations (STMF, available at www.mortality.org) data series is the first international database providing open-access harmonized, uniform, and fully documented data on weekly all-cause mortality. The STMF online vizualisation tool provides an opportunity to perform a quick assessment of the excess weekly mortality in one or several countries by means of an interactive graphical interface.Version date: 01.05.2021