cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.2j5uhfz0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7637 records)
DOI: 10.5281/zenodo.3823887
title: cldf-datasets/apics: The "Atlas of Pidgin and Creole Language Structures Online" as CLDF dataset

description: Cite as Michaelis, Susanne Maria & Maurer, Philippe & Haspelmath, Martin & Huber, Magnus (eds.) 2013. Atlas of Pidgin and Creole Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://apics-online.info)
DOI: 10.5281/zenodo.3823888
title: cldf-datasets/apics: The "Atlas of Pidgin and Creole Language Structures Online" as CLDF dataset

description: Cite as Michaelis, Susanne Maria & Maurer, Philippe & Haspelmath, Martin & Huber, Magnus (eds.) 2013. Atlas of Pidgin and Creole Language Structures Online. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://apics-online.info)
DOI: 10.5281/zenodo.3627522
title: Deep learning models to detect microsatellite instability in colorectal cancer from histological images

description: This repository contains trained deep learning models (based on shufflenet) for detecting microsatellite instability (MSI) in histological images of colorectal cancer. Expected input is 512x512x3, output is categorical (MSI vs. not MSI). The models are provided as MAT (Matlab R2019a) files. All models are described in detail in the publication "Clinical-grade detection of microsatellite instability in colorectal cancer by deep learning: an international multicenter study" More information on the original model: https://www.mathworks.com/help/deeplearning/ref/shufflenet.html
DOI: 10.5281/zenodo.3627523
title: Deep learning models to detect microsatellite instability in colorectal cancer from histological images

description: This repository contains trained deep learning models (based on shufflenet) for detecting microsatellite instability (MSI) in histological images of colorectal cancer. Expected input is 512x512x3, output is categorical (MSI vs. not MSI). The models are provided as MAT (Matlab R2019a) files. All models are described in detail in the publication "Clinical-grade detection of microsatellite instability in colorectal cancer by deep learning: an international multicenter study" More information on the original model: https://www.mathworks.com/help/deeplearning/ref/shufflenet.html
DOI: 10.5281/zenodo.3824438
title: Table S1. Supplement of https://doi.org/10.5194/gmd-2019-286

description: Model parameter values and composite parameter sensitivities related to the simulated tracer breakthrough curves of Fig. 5 in the article <em>Bodin, J.: MFIT 1.0.0: Multiflow inversion of tracer breakthrough curves in fractured and karst aquifers, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-286, in review, 2020</em><em>.</em> Since no parameters were fixed prior to the inversion process, a degree of freedom remains in the optimized parameter pairs (<em>Q</em>, <em>m<sub>j</sub></em>) and (<em>C</em><sub>0</sub>, <em>Q<sub>j</sub></em>/<em>Q</em>). The values of these parameters were rescaled using the recovered tracer mass, which were calculated independently from the experimental data.
DOI: 10.5281/zenodo.3824439
title: Table S1. Supplement of https://doi.org/10.5194/gmd-2019-286

description: Model parameter values and composite parameter sensitivities related to the simulated tracer breakthrough curves of Fig. 5 in the article <em>Bodin, J.: MFIT 1.0.0: Multiflow inversion of tracer breakthrough curves in fractured and karst aquifers, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-286, in review, 2020</em><em>.</em> Since no parameters were fixed prior to the inversion process, a degree of freedom remains in the optimized parameter pairs (<em>Q</em>, <em>m<sub>j</sub></em>) and (<em>C</em><sub>0</sub>, <em>Q<sub>j</sub></em>/<em>Q</em>). The values of these parameters were rescaled using the recovered tracer mass, which were calculated independently from the experimental data.
DOI: 10.15468/95k2sy
title: Monitoreo de Comunidades de Flebotomineos en Costa Caribe

description: Los recursos pertenecen a capturas de dípteros realizadas en varios municipios de los departamentos de Sucre y Bolívar, con el fin de monitorear la riqueza de vectores de Leishmaniasis en la costa Caribe.
DOI: 10.5281/zenodo.3824383
title: Test

description: Test
DOI: 10.17632/3pxjb8knp7.1
title: Combined COVID-19 Dataset

description: This dataset is a combination of both X-ray and CT images. In addition, the involved datasets are augmented to generate 6130 Images.
DOI: 10.17632/pd35n5xgvj.2
title: Supplemental Data - topical steroids in mycosis fungoides

description: Supplemental Figure 1: Patient characteristics based on changes in mSWAT Left top. 73% (27/37) of patients had an improvement in mSWAT, while 27% (10/37) flared or did not respond to topical corticosteroid monotherapy. Left bottom: From the improved group, 45% had a complete response (mSWAT of 0), and 33% had a partial response (≥50% decrease in mSWAT) with prolonged topical corticosteroid use. Right top. Gender, MF stage, and age distribution in patients with reduced mSWAT. Right bottom. Gender, MF stage, and age distribution in patients with increased or unchanged mSWAT. Supplemental Figure 2: Changes in mSWAT based on Gender, Stage and Age. 37 patients were included in the Waterfall plot analysis and arranged in order from the greatest increase in mSWAT to the greatest decrease in mSWAT. Patients were stratified based on gender, stage and age.
DOI: 10.17632/pd35n5xgvj.1
title: Supplemental Data - topical steroids in mycosis fungoides

description: Supplemental Figure 1: Patient characteristics based on changes in mSWAT Left top. 73% (27/37) of patients had an improvement in mSWAT, while 27% (10/37) flared or did not respond to topical corticosteroid monotherapy. Left bottom: From the improved group, 45% had a complete response (mSWAT of 0), and 33% had a partial response (≥50% decrease in mSWAT) with prolonged topical corticosteroid use. Right top. Gender, MF stage, and age distribution in patients with reduced mSWAT. Right bottom. Gender, MF stage, and age distribution in patients with increased or unchanged mSWAT. Supplemental Figure 2: Changes in mSWAT based on Gender, Stage and Age. 37 patients were included in the Waterfall plot analysis and arranged in order from the greatest increase in mSWAT to the greatest decrease in mSWAT. Patients were stratified based on gender, stage and age.
DOI: 10.5281/zenodo.3824491
title: AWASH Water Stress Metrics

description: This data repository contains county-level water stress results from the analysis performed in "The importance of infrastructure and national demand to represent constraints on water supply in the United States". The largemaps.pdf file contains the figures from the paper in a larger format. summary.csv shows for each county the median water stress (across years) as well as the range of water stress, for each of the four scenarios (local runoff, river network only, with canals, and with canals and reservoirs).
DOI: 10.5281/zenodo.3824151
title: East Caucasian villages dataset

description: This dataset contains a list of villages in the eastern Caucasus, their coordinates and the language spoken there.
DOI: 10.5281/zenodo.3824501
title: Comuni Italiani 2018 - Coordinate geografiche

description: Table of Italian municipalities geographical coordinates as of 01/01/2018
description: {"references": ["https://github.com/MatteoHenryChinaski/Comuni-Italiani-2018-Sql-Json-excel"]}
DOI: 10.5281/zenodo.3824502
title: Comuni Italiani 2018 - Coordinate geografiche

description: Table of Italian municipalities geographical coordinates as of 01/01/2018
description: {"references": ["https://github.com/MatteoHenryChinaski/Comuni-Italiani-2018-Sql-Json-excel"]}
DOI: 10.5281/zenodo.3824131
title: SK inventory [dataset] version 1.0 10/2018

description: SK inventory [dataset] version 1.0 10/2018
DOI: 10.5281/zenodo.3824130
title: SK inventory [dataset] version 1.0 10/2018

description: SK inventory [dataset] version 1.0 10/2018
DOI: 10.15468/sbpk7g
title: The Sepsidae of the Mitaraka expedition, French Guiana (Diptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Silva, Vera C., Pollet, Marc (2020): The Sepsidae of the Mitaraka expedition, French Guiana (Diptera). Zoosystema 42 (14): 195-205, DOI: 10.5252/zoosystema2020v42a14
DOI: 10.5281/zenodo.3824312
title: Decessi del 2020. Dati anticipatori sulla base di un sottoinsieme di comuni del sistema ANPR

description: Numero di decessi maschili, femminili e totali per giorno di evento, classe di età e comune di residenza (classificazione Istat al 01/01/2020 disponibile qui= https://www.istat.it/it/archivio/6789) al momento del decesso.<br> Periodi di riferimento: 01/01-30/04, Anni 2015-2019 e 01/01 – 04/04 Anno 2020. Dati raccolti attraverso la rilevazione Istat sui Cancellati dall’Anagrafe per Decesso che rileva le principali caratteristiche individuali dei deceduti ed elaborazioni su dati di fonte ANPR per i decessi riferiti al 2020.<br> NOTA 1: se nella tabella è assente un giorno di decesso per un determinato Comune e classe di età significa che, nel giorno mancante, dal 2015 al 2020 non è deceduto né un maschio né una femmina con quelle caratteristiche.<br> NOTA 2: il valore 9999 indica che il valore nel 2020 non è ancora disponibile. I comuni con dati presenti nell’anno 2020 sono 1.689.
description: {"references": ["https://www.istat.it/it/archivio/240401"]}
DOI: 10.5258/soton/d1364
title: Dataset for: A Control Flow for Transiently-Powered Energy Harvesting Sensor Systems

description: Dataset supporting the paper: Domenico Balsamo, Oktay Cetinkaya, Alberto Rodriguez Arreola, Samuel C. B. Wong, Geoff V. Merrett, Alex S. Weddell "A Control Flow for Transienttly-Powered Energy Harvesting Sensor Systems". IEEE Sensors Journal Transient computing enables application execution to be performed despite power outages. Although it handles the non-deterministic nature of energy harvesting (EH), sensor systems envisioned by the IoT seek more cost- and volume-effective solutions, which are better tailored to application requirements. Additionally, a major drawback of transient computing, keeping track of time, hinders its widespread adoption in the IoT. To overcome these challenges, this paper proposes a control flow for sensor systems by combining two state-of-the-art transient computing schemes in an energy-aware manner, underpinned by a strategy for timekeeping. It enables application execution to be reliably performed even under the most severe EH conditions, with an improved cost and volume efficiency, i.e., smaller energy storage. Benefiting from the combination of the two schemes, dynamic adjustment of system performance is achieved, while the time is accurately tracked. To illustrate the applicability of this flow to actual sensor systems, two case studies: a bicycle trip computer and a step counter, are presented. Empirical results reveal that, even with a tiny amount of energy harvested ('tens of uJ), our proposed approach can meet application requirements with smaller storage, i.e., 40% and 66% reduction in required capacitance for the presented case studies.
DOI: 10.5281/zenodo.3824311
title: Decessi del 2020. Dati anticipatori sulla base di un sottoinsieme di comuni del sistema ANPR

description: Numero di decessi maschili, femminili e totali per giorno di evento, classe di età e comune di residenza (classificazione Istat al 01/01/2020 disponibile qui= https://www.istat.it/it/archivio/6789) al momento del decesso.<br> Periodi di riferimento: 01/01-30/04, Anni 2015-2019 e 01/01–15/04 Anno 2020. La base dati sul quale si basano le elaborazioni è il risultato dell’integrazione a livello di micro-dato delle seguenti fonti di dati: rilevazione Istat P.5 sui Cancellati dall’Anagrafe per Decesso, Anagrafe Nazionale Popolazione Residente (ANPR) e Anagrafe Tributaria.<br> NOTA 1: se nella tabella è assente un giorno di decesso per un determinato Comune e classe di età significa che, nel giorno mancante, dal 2015 al 2020 non è deceduto né un maschio né una femmina con quelle caratteristiche. In particolare, nel dataset non sono presenti 4 comuni (Balmuccia, Rassa e Malvicino in Piemonte e Pedesina in Lombardia) che, nei periodi considerati, dal 2015 al 2020 hanno zero decessi.<br> NOTA 2: il valore “n.d.” nelle variabili M_20, F_20 e T_20 indica che l’informazione, relativamente all’anno 2020, non è ancora disponibile. I comuni con dati attendibili fino al 31 marzo 2020 sono 6.866 (inclusi Balmuccia, Rassa, Malvicino e Pedesina). Per 4.433 (inclusi Balmuccia, Rassa, Malvicino e Pedesina) di questi, i dati diffusi arrivano al 15 aprile 2020.
description: {"references": ["https://www.istat.it/it/archivio/240401"]}
DOI: 10.5281/zenodo.3824512
title: Test dataset

description: This is a test dataset for crawling purposes
DOI: 10.5281/zenodo.3824513
title: PERFORM Dataset; one control subject [TEST Dataset]

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.5281/zenodo.3824514
title: PERFORM Dataset; one control subject [TEST Dataset]

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.
DOI: 10.25387/g3.12290333
title: Supplemental Material for Cole and Dennis, 2020

description: <b>Figure S</b><b>1</b><b>. Specific enrichment of MNase-seq fragments at promoters using </b><b>mTSS-Seq, related to all figures.</b>(A) Average plots of sequence-captured GM12878 MNase-seq replicates across the TSS +/- 1000bp, all fragments.(B) Histogram of fragment sizes for GM12878 heavy and light MNase digests(C) Schematic demonstrating targeted enrichment with hg19 SeqCap oligos (mTSS-seq). GM12878 Untreated data for chromosome 20 shown in the UCSC genome browser (genome.ucsc.edu), with multiple magnifications down to a single TSS, CD40, compared to a previously published nucleosome mapping data set from Gaffney et al., 2012. <b>Figure S2. Total nucleosome occupancy of replicate untreated GM12878 cells, related to all Figures.</b>Total nucleosome occupancy was determined for all human promoters centered on the TSS (+/-1kb). Rep 1 and Rep 2 untreated control samples were sorted into quartiles based on maximum signal. <b>Figure S3. Sort of nucleosome occupancy changes dependent on gene expression in GM12878 cells, related to Figure 2.</b>The log<sub>2</sub>ratio of the total nucleosome occupancy of 20 minute HKST-treated cells/untreated control cells was sorted into quartiles based on total gene expression (GSM2344230).<b> </b><b>Figure S4. Independent sorts of MNase-sensitivity of untreated and 20 minute HKST GM12878 cells, related to Figure 2.</b>(A) The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for the untreated control cells was sorted with k-means clustering (k=7) and the MNase-sensitivity data for 20 minute post-HKST treatment was sorted independently with k-means clustering (k=7). Average sensitivity profiles per cluster are shown below the heatmaps for each time point.(B) Venn diagram representing the unique and shared promoters that are present in the independent sorts of the untreated and 20 minute post-HKST samples. <b>Figure S5. Independent sorts of maximum MNase-sensitivity of untreated, 20 minute, 40 minute, and 60 minute HKST GM12878 cells, related to Figure 3.</b>The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for all experimental conditions was sorted into quartiles independently based on maximum sensitivity. Average sensitivity profiles per cluster are shown below the heatmaps for each time point. <b>Table S1. Results of the gene ontology analysis and gene lists for the 20 minute post-HKST -1 sensitive nucleosome cluster, related to Figure S4.</b> <b>Table S2. Results of the gene ontology analysis and gene lists for the untreated control -1 sensitive nucleosome cluster, related to Figure S4</b>
DOI: 10.25387/g3.12290333.v1
title: Supplemental Material for Cole and Dennis, 2020 (post accept)

description: <b>Figure S</b><b>1</b><b>. Specific enrichment of MNase-seq fragments at promoters using </b><b>mTSS-Seq, related to all figures.</b>(A) Average plots of sequence-captured GM12878 MNase-seq replicates across the TSS +/- 1000bp, all fragments.(B) Histogram of fragment sizes for GM12878 heavy and light MNase digests(C) Schematic demonstrating targeted enrichment with hg19 SeqCap oligos (mTSS-seq). GM12878 Untreated data for chromosome 20 shown in the UCSC genome browser (genome.ucsc.edu), with multiple magnifications down to a single TSS, CD40, compared to a previously published nucleosome mapping data set from Gaffney et al., 2012. <b>Figure S2. Total nucleosome occupancy of replicate untreated GM12878 cells, related to all Figures.</b>Total nucleosome occupancy was determined for all human promoters centered on the TSS (+/-1kb). Rep 1 and Rep 2 untreated control samples were sorted into quartiles based on maximum signal. <b>Figure S3. Sort of nucleosome occupancy changes dependent on gene expression in GM12878 cells, related to Figure 2.</b>The log<sub>2</sub>ratio of the total nucleosome occupancy of 20 minute HKST-treated cells/untreated control cells was sorted into quartiles based on total gene expression (GSM2344230).<b> </b><b>Figure S4. Independent sorts of MNase-sensitivity of untreated and 20 minute HKST GM12878 cells, related to Figure 2.</b>(A) The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for the untreated control cells was sorted with k-means clustering (k=7) and the MNase-sensitivity data for 20 minute post-HKST treatment was sorted independently with k-means clustering (k=7). Average sensitivity profiles per cluster are shown below the heatmaps for each time point.(B) Venn diagram representing the unique and shared promoters that are present in the independent sorts of the untreated and 20 minute post-HKST samples. <b>Figure S5. Independent sorts of maximum MNase-sensitivity of untreated, 20 minute, 40 minute, and 60 minute HKST GM12878 cells, related to Figure 3.</b>The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for all experimental conditions was sorted into quartiles independently based on maximum sensitivity. Average sensitivity profiles per cluster are shown below the heatmaps for each time point. <b>Table S1. Results of the gene ontology analysis and gene lists for the 20 minute post-HKST -1 sensitive nucleosome cluster, related to Figure S4.</b> <b>Table S2. Results of the gene ontology analysis and gene lists for the untreated control -1 sensitive nucleosome cluster, related to Figure S4</b>
DOI: 10.5281/zenodo.3824403
title: Elenco dei codici e delle denominazioni delle unità territoriali al 01/01/2020 (2018-2020)

description: Il file contiene la lista dei comuni esistenti alla data riportata nel nome del file. Ciascun comune è identificato, nel file, da un codice statistico (il codice del comune a sei cifre) e dalla denominazione ufficiale. Inoltre sono riportati i seguenti dati: la ripartizione geografica, i codici statistici di provincia e regione e le rispettive denominazioni; il progressivo del comune all’interno della circoscrizione provinciale; il codice e la denominazione della Città Metropolitana, ove istituita; la popolazione legale all’ultimo censimento; la sigla automobilistica della provincia; i codici NUTS (Nomenclature delle Unità Territoriali) attuali e quelli del regolamento Eurostat precedente. Tutti i campi sono descritti con maggior dettaglio nella legenda del file.
description: {"references": ["https://www.istat.it/it/archivio/6789"]}
DOI: 10.5281/zenodo.3824404
title: Elenco dei codici e delle denominazioni delle unità territoriali al 01/01/2020 (2018-2020)

description: Il file contiene la lista dei comuni esistenti alla data riportata nel nome del file. Ciascun comune è identificato, nel file, da un codice statistico (il codice del comune a sei cifre) e dalla denominazione ufficiale. Inoltre sono riportati i seguenti dati: la ripartizione geografica, i codici statistici di provincia e regione e le rispettive denominazioni; il progressivo del comune all’interno della circoscrizione provinciale; il codice e la denominazione della Città Metropolitana, ove istituita; la popolazione legale all’ultimo censimento; la sigla automobilistica della provincia; i codici NUTS (Nomenclature delle Unità Territoriali) attuali e quelli del regolamento Eurostat precedente. Tutti i campi sono descritti con maggior dettaglio nella legenda del file.
description: {"references": ["https://www.istat.it/it/archivio/6789"]}
DOI: 10.25387/g3.12290333.v2
title: Supplemental Material for Cole and Dennis, 2020

description: <b>Figure S</b><b>1</b><b>. Specific enrichment of MNase-seq fragments at promoters using </b><b>mTSS-Seq, related to all figures.</b>(A) Average plots of sequence-captured GM12878 MNase-seq replicates across the TSS +/- 1000bp, all fragments.(B) Histogram of fragment sizes for GM12878 heavy and light MNase digests(C) Schematic demonstrating targeted enrichment with hg19 SeqCap oligos (mTSS-seq). GM12878 Untreated data for chromosome 20 shown in the UCSC genome browser (genome.ucsc.edu), with multiple magnifications down to a single TSS, CD40, compared to a previously published nucleosome mapping data set from Gaffney et al., 2012. <b>Figure S2. Total nucleosome occupancy of replicate untreated GM12878 cells, related to all Figures.</b>Total nucleosome occupancy was determined for all human promoters centered on the TSS (+/-1kb). Rep 1 and Rep 2 untreated control samples were sorted into quartiles based on maximum signal. <b>Figure S3. Sort of nucleosome occupancy changes dependent on gene expression in GM12878 cells, related to Figure 2.</b>The log<sub>2</sub>ratio of the total nucleosome occupancy of 20 minute HKST-treated cells/untreated control cells was sorted into quartiles based on total gene expression (GSM2344230).<b> </b><b>Figure S4. Independent sorts of MNase-sensitivity of untreated and 20 minute HKST GM12878 cells, related to Figure 2.</b>(A) The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for the untreated control cells was sorted with k-means clustering (k=7) and the MNase-sensitivity data for 20 minute post-HKST treatment was sorted independently with k-means clustering (k=7). Average sensitivity profiles per cluster are shown below the heatmaps for each time point.(B) Venn diagram representing the unique and shared promoters that are present in the independent sorts of the untreated and 20 minute post-HKST samples. <b>Figure S5. Independent sorts of maximum MNase-sensitivity of untreated, 20 minute, 40 minute, and 60 minute HKST GM12878 cells, related to Figure 3.</b>The log<sub>2</sub>ratio of light/heavy MNase digest (MNase sensitivity) was determined for all human promoters centered on the TSS (+/-1kb). The MNase sensitivity for all experimental conditions was sorted into quartiles independently based on maximum sensitivity. Average sensitivity profiles per cluster are shown below the heatmaps for each time point. <b>Table S1. Results of the gene ontology analysis and gene lists for the 20 minute post-HKST -1 sensitive nucleosome cluster, related to Figure S4.</b> <b>Table S2. Results of the gene ontology analysis and gene lists for the untreated control -1 sensitive nucleosome cluster, related to Figure S4</b>