cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5tw9b
title: MassIVE MSV000084618 - Mass spectrometry data for WASHC5/KIAA0196
title: Tandem affinity purification and LC/MS/MS were performed using hTERT-RPE1 cells stably expressing ZZ-TEV-FLAG-WASHC5
DOI: 10.5281/zenodo.3551975
title: Metabolic fingerprints for suboptimal mycorrhizal colonization in wild-type and the jasmonic acid deficient spr2 tomato mutant

description: Raw data for metabolic fingerprinting of tomato roots by DLI-ESI-MS to examine the effect of mycorrhizal colonization on the global metabolic profile of WT and <em>spr2</em> mutant plants.
DOI: 10.21227/0qhk-bs79
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE dataport online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/4tnc-5692
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found athttps://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/5ydf-7486
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE dataport online community.Research experiments for this dataset can be found at:https://github.com/epicprojects/blockchain-anomaly-detectiona rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" //abr /This data is licensed under a a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"Creative Commons Attribution-ShareAlike 4.0 International License/a.
DOI: 10.21227/66ps-9b50
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE dataport online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.25505/fiz.icsd.cc25s8t2
title: CSD 2019334: Experimental Crystal Structure Determination

description: Related Article: Qingguo feng|2020|ICSD Communication|||
DOI: 10.21227/mxx3-np52
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found athttps://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.25505/fiz.icsd.cc25s8v3
title: CSD 2019335: Experimental Crystal Structure Determination

description: Related Article: Qingguo feng|2020|ICSD Communication|||
DOI: 10.21227/mgez-3j75
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found athttps://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/ved8-8780
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found athttps://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/e35c-w907
title: Bitcoin Transaction Network Metadata

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/kj7x-dq71
title: Bitcoin Transaction Network Metadata

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/zwfe-hf40
title: Bitcoin Transaction Network Metadata (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.5281/zenodo.3551788
title: Data for submitted paper "Plume dynamics of a lateral river tributary influenced by river discharge from the estuary head"

description: Uploaded data include the png-format figures and the original data for all figures.
DOI: 10.5281/zenodo.3551789
title: Data for submitted paper "Plume dynamics of a lateral river tributary influenced by river discharge from the estuary head"

description: Uploaded data include the png-format figures and the original data for all figures.
DOI: 10.5519/qd.4r18hqa2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/kwn3tu/7ayjpm
title: Supple 3. Learning circumstances based on learning results.pdf

description: :unav
DOI: 10.7910/dvn/kwn3tu/biz4tq
title: Supple 1. Gender and expertise of panelists.pdf

description: :unav
DOI: 10.7910/dvn/kwn3tu/rrftiu
title: Supple 2. Adaptation of Gagne’s instruction theory with the narrative medicine model.pdf

description: :unav
DOI: 10.7910/dvn/kwn3tu/umvi4y
title: Dataset 1. Raw data-EXPERT PANEL STUDY.tab

description: :unav
DOI: 10.7910/dvn/kwn3tu/vgpz6m
title: Supple 4. Teaching and assessing in reflective training based on the 9 training activities in Gagne’s theory.pdf

description: :unav
DOI: 10.21227/47nv-x277
title: Bitcoin Transaction Network Metadata (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/zn21-kh14
title: Bitcoin Transactions Data 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found athttps://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/zyk0-gg59
title: Bitcoin Transaction Network Metadata (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/8d5t-n162
title: Bitcoin Transaction Network Metadata (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.15468/gfdied
title: A new species of Seira Lubbock (Collembola: Entomobryidae) from Brazil with sexually dimorphic legs

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bellini, Bruno Cavalcante, Pais, Alexandra Peregrino, Zeppelini, Douglas (2009): A new species of Seira Lubbock (Collembola: Entomobryidae) from Brazil with sexually dimorphic legs. Zootaxa 2080: 38-46, DOI: 10.5281/zenodo.187336
DOI: 10.21227/66fs-4b55
title: None

description: None
DOI: 10.21227/jhex-ga18
title: None

description: None
DOI: 10.21227/d6dx-m651
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/yn6p-t469
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/0hqb-b427
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: Information:This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/3cy9-0h11
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/f4a8-ew66
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/k42q-3h63
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: Info: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/z79q-0z26
title: BITCOIN TRANSACTION NETWORK METADATA (2011-2013)

description: Information:This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.17632/5h8cd3ff9k.3
title: Data for: Short-Term Effects of Particulate Matter and Desert Dust Episodes on Daily Mortality during in Iran

description: Daily PM10 and PM2.5 concentrations in µg/m3 used in this study for Ahvaz and Tehran, mortality data can not be supplied because there is a confidentiality agreement for the use
DOI: 10.21227/evtk-2v77
title: None

description: None
DOI: 10.7910/dvn/h9rqd6/bjdsey
title: IPIPitemLists.rdata

description: This file provides lists of the items (by item label) in the IPIP Big Five Factor Markers. See the Database of Individual Differences for a listing of the item content.
DOI: 10.7910/dvn/h9rqd6/njhqly
title: sapaTempData04apr2006thru18aug2010.tab

description: This is the full data file in csv format.
DOI: 10.7910/dvn/h9rqd6/smf3og
title: codebook.txt

description: A description of the data set and accompanying files.
DOI: 10.7910/dvn/h9rqd6/unk83t
title: sapaTempData04apr2006thru18aug2010.rdata

description: This is the full data file in R data format.
DOI: 10.7910/dvn/h9rqd6/yirbou
title: IPIPkeysList.txt

description: This file provides a scoring key for the items.
DOI: 10.21227/8dfs-0261
title: BITCOIN TRANSACTIONS DATA 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/bw33-mz39
title: BITCOIN TRANSACTIONS DATA 2011-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/vt86-m630
title: BITCOIN TRANSACTIONS DATA 2011-2013

description: Information: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/vy24-x567
title: BITCOIN TRANSACTIONS DATA 2011-2013

description: Information: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/25d4-nb62
title: Bitcoin Transactions Data 2011-2013

description: Information: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.Research experiments for this dataset can be found at https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/3bwa-rc89
title: Bitcoin Hacked Transactions 2010-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/7f0c-df28
title: Bitcoin Hacked Transactions 2010-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/c2k4-cy46
title: Bitcoin Transaction Network Metadata (2011-2013)

description: Information:This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection
DOI: 10.21227/dbxx-fk05
title: Bitcoin Hacked Transactions 2010-2013

description: This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community.https://github.com/epicprojects/blockchain-anomaly-detection Files: bitcoin_hacks_2010_2013.csv: Contains known hashes of bitcoin theft/malicious transactions from 2010-2013malicious_tx_in.csv: Contains hashes of input transactions flowing into malicious transactions.malicious_tx_out.csv Contains hashes of output transactions flowing out of malicious transactions. anomalies_theft_tx.csv: Known bitcoin thefts transaction hashes.anomalies_loss_tx.csv: Known bitcoin losses transaction hashes.anomalies_misc_tx.csv: Known bitcoin hacks transaction hashes.anomalies_seizure1_tx.csv: Known bitcoin transaction hashes involved in 1st FBI silk road sizure. (https://en.wikipedia.org/wiki/Silk_Road_(marketplace))anomalies_seizure2_tx.csv: Known bitcoin transaction hashes involved in 2nd FBI silk road sizure. (https://en.wikipedia.org/wiki/Silk_Road_(marketplace))
DOI: 10.21227/r9d7-en84
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####status/latest addition: Nov 10, 2019####Tweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/wmzz-8e16
title: Twitter Sentiment Analysis Data

description: Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project's documentation part is finished.####status/latest addition: Nov 24, 2019####Tweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################A new database will be added here every week. Please bookmark this page for the updates.References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.25345/c5bw90
title: MassIVE MSV000084614 - p57Kip2 alterations in adult CFU-E contribute to steroid resistance in Diamond Blackfan anemia
title: Ashley R, Yan H, Wang N, Hale J, Dulmovits BM, Papoin J, Olive ME, Udeshi ND, Carr SA, Vlachosa A, Lipton JM, Da Costa L, Hillyer C, Kinet S, Taylor N, Mohandas N, Narla A, Blanc L. 2019. Despite the effective clinical use of steroids for the treatment of Diamond Blackfan anemia (DBA), the mechanistic bases via which glucocorticoids regulate human erythropoiesis remain poorly understood. Here, we report that the sensitivity of erythroid differentiation to dexamethasone (Dex) is dependent on the developmental origin of human CD34+ progenitor cells, specifically increasing the expansion of CD34+ progenitors from peripheral blood (PB) but not cord blood (CB). Dexamethasone treatment of erythroid-differentiated PB, but not CB, CD34+ progenitors resulted in the expansion of a novel CD34+CD36+CD71hiCD105med immature colony-forming unit-erythroid (CFU-E) population. Furthermore, proteomics analyses revealed the induction of distinct proteins in dexamethasone-treated PB and CB erythroid progenitors. Dexamethasone treatment of PB progenitors resulted in the specific upregulation of p57Kip2, a Cip/Kip cyclin-dependent kinase inhibitor, and we identified this induction as critical; shRNA-mediated downregulation of p57Kip2, but not the related p27Kip1, significantly attenuated the impact of dexamethasone on erythroid differentiation and inhibited the expansion of the immature CFU-E subset. Notably, in the context of DBA, we found that steroid resistance was associated with a dysregulated p57Kip2 expression. Altogether, these data identify a novel glucocorticoid-responsive human erythroid progenitor and provide new insights into glucocorticoid-based therapeutic strategies for the treatment of patients with DBA.
DOI: 10.21227/0s6v-p761
title: SDN-NF-TJ

description: using NetFlow protocol for gathering information and generating dataset in software-defined networking (SDN) for DDoS attacks
DOI: 10.21227/qgyh-pn34
title: SDN-NF-TJ

description: using NetFlow protocol for gathering information and generating dataset in software-defined networking (SDN) for DDoS attacks
DOI: 10.17632/dm6pgs47cp.1
title: Data for: What's in a Shape? Evidence of Gender Category Associations With Basic Forms

description: Data for Stroessner, S.J., Benitez, J., Perez, M.A., Wyman, A.B., Carpinella, C.M., & Johnson, K.L. (Under review). What's In a shape? Evidence of gender category associations with basic forms.
DOI: 10.21227/mgg8-6p20
title: SDN-NF-TJ

description: using NetFlow protocol for gathering information and generating dataset in software-defined networking (SDN) for DDoS attacks
DOI: 10.18716/nmrshiftdb2/10343
title: NMR data for 4-ethylpyridine
DOI: 10.5281/zenodo.3551849
title: Homology model based on 1JXX

description: Homology model based on 1JXX starting sequence: SVCCPSLVARTNYNVCRLPGTEAALCATFTGCIIIPGATCGGDYAN Swiss Model online 24-11-2019
DOI: 10.5281/zenodo.3551850
title: Homology model based on 1JXX

description: Homology model based on 1JXX starting sequence: SVCCPSLVARTNYNVCRLPGTEAALCATFTGCIIIPGATCGGDYAN Swiss Model online 24-11-2019
DOI: 10.17632/d6rc49dj9p.1
title: Data for: Latent HCMV is Associated with Specific Proinflammatory Immune Phenotype in Women with Implantation Failure

description: Latent HCMV infection specifically influences immune system and results in pro-inflammatory phenotype formation in part of infected population. It was found that accentuations in immune phenotype of HCMV-seropositive women are very similar to previously described in association with reproductive failures but without HCMV-serostatus taken into account. Study population Infertile women (n=470) who were eligible for IVF/ET were selected for this study. Patients included in the study had at least 1 case of idiopathic IVF failure (average 2.32) or at least 1 case of idiopathic first trimester pregnancy failure (average 2.04). Patients had no supplemental treatment with immunoglobulins or corticosteroids during last 3 months. None of the patients had active autoimmune disease or history of autoimmune diseases. None of the patients had active infection within 6 previous months. Methods ELISA Anti-HCMV IgG and IgG avidity were measured in patient’s serum by VitoTest ELISA system (Ukraine) according to instructions. Presence of low avidity IgG of more than 50% was considered as active HCMV infection. 2.3 Flow Cytometry of Lymphocyte Subsets Lymphocyte subsets were identified by three-color flow cytometry using erythrocyte-lysing whole blood method of lymphocyte staining by FITC-, PE- or PE-Cy5-conjugated monoclonal antibodies (BD Bioscience, San Jose, USA). Stained samples were lysed, washed and analyzed by FACScan flow cytometer using CellQuest software (BD Bioscience, San Jose, USA). 2.4 NK cytotoxicity assays Flow cytometry NK cytotoxicity assay (FCA) was described previously [15]. We used Calcein-AM (Sigma) labeling K562 as target cells. Dead cells after 4h incubation were labeled by propidium iodide.
DOI: 10.18716/nmrshiftdb2/10340
title: NMR data for Salicin
DOI: 10.21227/rwz4-v888
title: Supplementary data of Participatory trial platform for assessing effectiveness of digital healthcare apps

description: Supplementary data of Participatory trial platform for assessing effectiveness of digital healthcare apps.
DOI: 10.21227/wexd-em10
title: Supplementary data of Participatory trial platform for assessing effectiveness of digital healthcare apps

description: Supplementary data of Participatory trial platform for assessing effectiveness of digital healthcare apps.
DOI: 10.5281/zenodo.3551469
title: Vitis genome

description: genome sequence
DOI: 10.5281/zenodo.3551470
title: Vitis genome

description: genome sequence
DOI: 10.18716/nmrshiftdb2/10339
title: NMR data for 3-O-(-L-Rhamnopyranosyl-(1-2)--D-glucopyranosyl-(1-2)--D-glucopyranosyl)spergulagenic acid
DOI: 10.26302/sshade/experiment_sh_20050103_001
title: Cd K edge XAS transmission of Cd metallic foil reference at ambient conditions
DOI: 10.18716/nmrshiftdb2/10337
title: NMR data for trans-Communic acid
DOI: 10.18716/nmrshiftdb2/10338
title: NMR data for 2-(1,3-Benzodioxol-5-yl)-7-methoxy-5-benzofuranpropanol; 5-(3''-Hydroxypropyl)-7-methoxy-2-(3',4'-methylenedioxyphenyl)benzofuran
DOI: 10.5281/zenodo.3551864
title: data_for_fmri_workshop_LLN

description: data_for_fmri_workshop_LLN
description: update content of README in raw folder remove task json files from subjects' folders remove DS* folders from Mac add normalized structurals from other subjects
DOI: 10.18716/nmrshiftdb2/10341
title: NMR data for thiophene
DOI: 10.18716/nmrshiftdb2/10258
title: NMR data for N-methylfurfurylamine
DOI: 10.25345/c5768s
title: MassIVE MSV000084615 - Proteomic Analysis in Scar-Free Skin Regeneration in Acomys cahirinus
title: Comparative Proteomic Analysis in Scar-Free Skin Regeneration in Acomys cahirinus and Scarring Mus musculus