cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13199942
title: Full dataset_Maternity cards in The Gambia.xlsx

description: This dataset comprises data collected on women-held documents in The Gambia in 2018. Documents were assessed for content and quality and a questionnaire was administered to all women.
DOI: 10.5281/zenodo.4248826
title: S32 | REACH2017 | &gt;68,600 REACH Chemicals

description: This is the collection associated with list S32 REACH2017 on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ S32 | REACH2017 | <strong>&gt;68,600 REACH Chemicals</strong> A list of &gt;68,600 REACH chemicals including InChIKeys and spectral information, provided by N. Alygizakis and J. Slobodnik, EI. Update 14 Nov 2019: added CSV. Feb 6th, 2020: edited SMILES in CSV to remove \\ (fixed_SMILES column); edited more SMILES. Nov 6, 2020: fixed entry for (2H5)benzoic acid based on feedback from PubChem.
description: This dataset is currently in an uncurated state ...
DOI: 10.34740/kaggle/dsv/1623354
title: Twitter Bots Accounts
DOI: 10.21227/szps-ky55
title: Model19

description: Data preparation – We started with the aggregation of the energy consumption data at a daily level (originally given at a half-hourly interval). Missing values were observed in consumption and temperature metadata, which we imputed using daily level linear interpolation.Next was feature engineering which was essential to bring out the best accuracy in the model.There are mainly three features we have tried to work with:a) Average weather data, Three lag variable for average weather data (day1, day2, day3 lag)b) Time-Series features created using date1. Month (1,2,3,…..12) and2. Weekday (Mon, Tue,……Sun)3. WeekofYear(1,2,…52)c) Cyclic encoding of periodic features for the month and weekday1. Month gets mapped to Month_x = sin(2*pi*month/12) and Month_y=cos(2*pi*month/12)2. Weekday gets mapped to weekday_x = sin(2*pi*weekday/6) and weekday_y=cos(2*pi*weekday /6).Post multiple iterations, we settled with the XGBoost model since it performed the best among all. We trained the model on individual meter_ID and forecasted energy consumption at a daily level. The outcome was then rolled-up, to a monthly level to get our final submission.Update- we identified those customers where our model was not performing well and used the Moving average to forecast for these customers.
DOI: 10.5281/zenodo.4085043
title: VarroaDataset

description: The purpose of this dataset is to provide high resolution images (160x280px) of honeybees and the parasite Varroa destructor.<br> It was recorded in a controlled and constant environment.<br> The dataset consists of images of healthy bees (not infected with Varroa destructor) and infected bees (show Varroa destructor). We further provide: ~13,500 manual annotations of honeybees infected with the parasite Varroa destructor. Predefined dataset splits into: train, test and validation subsets <strong>Dataset Statistics:</strong> # of samples: 13,509 # pos (infected): 3,947 # neg (healthy): 9,562 ratio [pos:neg]: 1 : 2.4 resolution [w x h] : 160 x 280px More details and usage information can be found on the respective github page
description: {"references": ["Schurischuster, S., Zambanini, S., Kampel, M. and Lamp, B., 2016, December. Sensor study for monitoring varroa mites on honey bees (apis mellifera). In Visual Observation and Analysis of Vertebrate and Insect Behavior Workshop."]}
DOI: 10.6084/m9.figshare.12715490.v2
title: Reconstruction of ancient homeobox gene linkages inferred from a new high-quality assembly of the Hong Kong oyster (Magallana hongkongensis) genome

description: <b>Abstract</b><b><br></b> <b>Background</b> Homeobox-containing genes encode crucial transcription factors in animal and plant development, and changes to these genes have been linked to the evolution of body plans and morphologies. In animals some homeobox genes are clustered in the genome, due to either coordinated gene regulation or as remnants from ancestral genomic arrangements. Analyses of homeobox gene organization across a range of species thus helps to better understand the evolution of genome organization and developmental gene control, and the possible interactions between the two. However, homeobox gene organization in several key animal ancestors, including those of molluscs, lophotrochozoans and bilaterians, remains to be fully elucidated.<br> <b>Results</b> Here, we present a high-quality chromosome-level genome assembly of <i>Magallana hongkongensis</i> (2n = 20), for which 93.2% of the genomic sequences are contained on 10 pseudomolecules (~758Mb, scaffold N50 = 72.3Mb). A total of 46,963 predicted gene models (45,308 protein coding genes) were incorporated for this genome, and genome completeness estimated by BUSCO was 94.6%. Homeobox gene linkages were analysed in detail relative to available data in other mollusc species. Our chromosome-level assembly allows the inference of ancient gene linkages (synteny) for the homeobox-containing genes, even though a number of the homeobox gene clusters, like the Hox/ParaHox clusters, are undergoing dispersal in molluscs such as this oyster. <br> <b>Conclusions</b> The analyses performed in this study and the accompanying genome sequence provide important genetic resources for this economically and culturally valuable oyster species, and offer a platform to improve understanding of animal biology and evolution more generally.<b></b><br>
DOI: 10.34740/kaggle/dsv/1623389
title: Twitter Bots Accounts
DOI: 10.6084/m9.figshare.12644975
title: TIVAD: 7 year follow up

description: A total of 204 adult cancer patients who underwent TIVAD placement via subclavian vein catheter insertion using the Seldinger technique between January 2010 and December 2011 at a tertiary care center with available follow-up data were included in this dataset<br>
DOI: 10.6084/m9.figshare.13200014
title: isupplemental Table S1

description: supplemental Table S1 for AJP<br>
DOI: 10.6084/m9.figshare.13200014.v1
title: isupplemental Table S1

description: supplemental Table S1 for AJP<br>
DOI: 10.21227/bkyw-4g63
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.21227/5n2k-9h36
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.21227/1n7z-wk97
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 244.
DOI: 10.21227/x72g-s112
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.21227/3sep-4645
title: Heart Disease Dataset (Comprehensive)

description: This heart disease dataset is curated by combining 5 popular heart disease datasets already available independently but not combined before. In this dataset, 5 heart datasets are combined over 11 common features which makes it the largest heart disease dataset available so far for research purposes. The five datasets used for its curation are:ClevelandHungarianSwitzerlandLong Beach VAStatlog (Heart) Data Set.This dataset consists of 1190 instances with 11 features. These datasets were collected and combined at one place to help advance research on CAD-related machine learning and data mining algorithms, and hopefully to ultimately advance clinical diagnosis and early treatment.
DOI: 10.21227/0xe3-7920
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.6084/m9.figshare.13198475
title: PPC data - time-shuffled - retrieval

description: This dataset belongs to the Collection:<br>ter Wal, Marije; Linde Domingo, Juan; Lifanov, Julia; Roux, Frederic; Kolibius, Luca; Gollwitzer, Stephanie; et al. (2020): Data for: Theta rhythmicity governs the timing of behavioural and hippocampal responses in humans specifically during memory-dependent tasks. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5192567<br><br><br>The dataset contains the following data:<br>Time-shuffled PPC data (100 repetitions) from hippocampal microwire recordings from 10 iEEG patients while they performed the retrieval phase of a memory task.<br>The PPC data have been fully anonymized to protect the identity of the patients: information that could reveal the implantation scheme of specific patients has been removed. To this end, the original channel labels have been removed and replaced by bundle IDs.<br>For more details about the data please see the Collection.<br><br>
DOI: 10.21227/rcck-xx60
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 244.
DOI: 10.21227/88jf-0969
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.21227/5ztw-ec05
title: Signal Segmentation for Milling Process

description: This dataset is used to develop an algorithm for automatic segmenting the collected signals. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To segment the recorded signals, a moving window (0.5 sec) is applied to sample the vibration signals and manually labeled the corresponding modes, i.e. dry run or milling, of each window. To verify the algorithm, 3 types of operations are provided and recorded in csv format.
DOI: 10.21227/tssf-b966
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 244.
DOI: 10.21227/z2b2-k246
title: MRLA search results and source code

description: The dataset includes both the software and the results for the calculation of large Minimum Redundancy Linear Arrays (MRLA, also known as sparse rulers).The software uses an exhausive search to find perfect and optimal sparse rulers. The results include all rulers up to 213 and the combination of length and marks of the rulers up to a length of 244.
DOI: 10.14457/tu.the.2019.670
title: การเตรียมความพร้อมการประกันคุณภาพการศึกษาภายในรอบใหม่ (พ.ศ. 2557-2561) ระดับหลักสูตรและระดับคณะ: กรณีศึกษา หน่วยงาน/คณะ ที่จัดการเรียนการสอน ณ มหาวิทยาลัยธรรมศาสตร์ ศูนย์ลำปาง

description: การศึกษาเรื่อง “การเตรียมความพร้อมการประกันคุณภาพการศึกษาภายในรอบใหม่ (พ.ศ. 2557-2561) ระดับหลักสูตรและระดับคณะ กรณีศึกษา หน่วยงาน/ คณะที่จัดการเรียนการสอน ณ มหาวิทยาลัยธรรมศาสตร์ ศูนย์ลำปาง” มีวัตถุประสงค์เพื่อศึกษาการเตรียมความพร้อมการประกันคุณภาพการศึกษาภายในรอบใหม่ (พ.ศ. 2557-2561) ระดับหลักสูตรและระดับคณะ และเพื่อศึกษาทัศนะของบุคลากรที่มีต่อกระบวนการเตรียมความพร้อมประกันคุณภาพการศึกษาภายในรอบใหม่ (พ.ศ. 2557-2561) เก็บข้อมูลจากบุคลากร คือ ผู้บริหาร อาจารย์ และเจ้าหน้าที่ ของคณะนิติศาสตร์ คณะสังคมสงเคราะห์ศาสตร์ วิทยาลัยสหวิทยาการ คณะสาธารณสุขศาสตร์ และคณะศิลปกรรมศาสตร์ จำนวน 80 คน โดยเก็บข้อมูลจากการสัมภาษณ์ผู้บริหารระดับคณะหรือผู้แทนผู้บริหาร และใช้แบบสอบถามเป็นเครื่องมือในการเก็บรวมรวมข้อมูลสถิติที่ใช้ในการวิเคราะห์ข้อมูล คือ การหาค่าความถี่ ร้อยละ ค่าเฉลี่ย ค่าส่วนเบี่ยงเบนมาตรฐาน การทดสอบ ค่า t-test และ ค่า F-test การเปรียบเทียบความแตกต่างรายคู่จากผลการศึกษา พบว่า หน่วยงานที่จัดการเรียนการสอน ณ มหาวิทยาลัยธรรมศาสตร์ศูนย์ลำปาง มีการเตรียมความพร้อมตามหลักการประกันคุณภาพ 3 หลักการ และ 4 ขั้นตอนการบริหารสำหรับทัศนะของบุคลากรต่อกระบวนการเตรียมความพร้อม ระดับมากที่สุด คือ การประเมินและปรับปรุง (Act) และในภาพรวมระดับมาก คือ การวางแผน (Plan) การดำเนินงาน (Do) และการติดตามและตรวจสอบ (Check) ตามลำดับ ปัญหาและข้อเสนอแนะ คือ อาจารย์ผู้ประเมินหลักสูตรมีจำนวนน้อยควรส่งเสริมให้อาจารย์ประจำเข้าร่วมอบรมผู้ประเมิน ระบบการส่งต่องานประกันคุณภาพการศึกษายังไม่เป็นระบบ หน่วยงานควรสนับสนุนการจัดทำคู่มือการปฏิบัติงาน และปัญหาเอกสารประเมินที่มีจำนวนมาก หน่วยงานควรวางแผนและจัดเก็บเอกสารให้มีระบบมากขึ้น
DOI: 10.6084/m9.figshare.13200023
title: Supplementary Material for: Gastric Cancer in <b><i>BRCA1</i></b> Germline Mutation Carriers: Results of Endoscopic Screening and Molecular Analysis of Tumor Tissues

description: <b><i>Introduction:</i></b> There is some evidence suggesting a link between <i>BRCA1/2</i> germline mutations and increased risk of gastric cancer. <b><i>Methods:</i></b> Endoscopic screening for stomach malignancies was performed in 120 <i>BRCA1</i> mutation carriers in order to evaluate the probability of detecting the tumor disease. <b><i>Results:</i></b> No instances of gastric cancer were revealed at the first visit. The analysis of atrophic changes performed by OLGA (Operative Link for Gastritis Assessment) criteria revealed that OLGA stages I–IV alterations were observed in 26 of 41 (63%) subjects aged &gt;50 years as compared to 29 of 79 (37%) in younger subjects (<i>p</i> = 0.007, χ<sup>2</sup> test). One <i>BRCA1</i> mutation carrier developed gastric cancer 4 years after the first visit for endoscopic examination. We performed next-generation sequencing analysis for this tumor and additional 4 archival gastric cancers obtained from <i>BRCA1/2</i> mutation carriers. Somatic loss of the remaining <i>BRCA1/2</i> allele was observed in 3 out of 5 tumors analyzed; all of these carcinomas, but none of the malignancies with the retained <i>BRCA1/2</i> copy, showed chromosomal instability. <b><i>Conclusion:</i></b> Taken together, these data justify further studies on the relationships between the <i>BRCA1/2</i> and gastric cancer.
DOI: 10.6084/m9.figshare.13200023.v1
title: Supplementary Material for: Gastric Cancer in <b><i>BRCA1</i></b> Germline Mutation Carriers: Results of Endoscopic Screening and Molecular Analysis of Tumor Tissues

description: <b><i>Introduction:</i></b> There is some evidence suggesting a link between <i>BRCA1/2</i> germline mutations and increased risk of gastric cancer. <b><i>Methods:</i></b> Endoscopic screening for stomach malignancies was performed in 120 <i>BRCA1</i> mutation carriers in order to evaluate the probability of detecting the tumor disease. <b><i>Results:</i></b> No instances of gastric cancer were revealed at the first visit. The analysis of atrophic changes performed by OLGA (Operative Link for Gastritis Assessment) criteria revealed that OLGA stages I–IV alterations were observed in 26 of 41 (63%) subjects aged &gt;50 years as compared to 29 of 79 (37%) in younger subjects (<i>p</i> = 0.007, χ<sup>2</sup> test). One <i>BRCA1</i> mutation carrier developed gastric cancer 4 years after the first visit for endoscopic examination. We performed next-generation sequencing analysis for this tumor and additional 4 archival gastric cancers obtained from <i>BRCA1/2</i> mutation carriers. Somatic loss of the remaining <i>BRCA1/2</i> allele was observed in 3 out of 5 tumors analyzed; all of these carcinomas, but none of the malignancies with the retained <i>BRCA1/2</i> copy, showed chromosomal instability. <b><i>Conclusion:</i></b> Taken together, these data justify further studies on the relationships between the <i>BRCA1/2</i> and gastric cancer.
DOI: 10.5281/zenodo.4245731
title: MAR-Clogging _ IS-effect

description: The dataset of ionic strenght effects on clogging in MAR
DOI: 10.5281/zenodo.4245730
title: MAR-Clogging _ IS-effect

description: The dataset of ionic strenght effects on clogging in MAR
DOI: 10.5517/ccdc.csd.cc25wftb
title: CCDC 2022372: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wfvc
title: CCDC 2022373: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wfwd
title: CCDC 2022374: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wfxf
title: CCDC 2022375: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wfyg
title: CCDC 2022376: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wfzh
title: CCDC 2022377: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.5517/ccdc.csd.cc25wg0k
title: CCDC 2022378: Experimental Crystal Structure Determination

description: Related Article: Koji Koide, Jun Yi, Masaharu Kuboki, Seiji Yamazoe, Naoki Nakatani, Kotohiro Nomura|2020|Organometallics|39|3742|doi:10.1021/acs.organomet.0c00567
DOI: 10.21227/stqa-v108
title: Model 1.6

description: Model 1.6 Linear Boosting (XGBoost GBLinear) + Clustered-meter average monthly ratios Monthly (kWh) consumption clustering: 1. Twelve clustering models (one per month of signup): Spectral Clustering2. Clustering using (daily kWh) consumption extracted features. Cluster count set to 4 (empirically better than the 5 or 6 suggested by the elbow distortion method). Forecasting for a meter: Using the mean monthly consumption linear prediction + in-cluster month-to-month ratios. Clustering Features (170) from weekend/weekday and full series:- Statistical: median, variance, quantiles, ...- Time-series: autocorrelations, trends, seasonalities, ... Month-to-month ratios:- Robust STL LOESS trend was used to calculate the month-to-month percentage ratios. All monthly averages are replaced with the new computed ratios. Preprocessing:- Time-series: Converted 0 to Nans and dropped them. Regression Forecasting:- Using Linear Booster (GBLinear) on the calculated 2018 month ratios + Nested Cross-validation. Dual Annealing used for hyper-parameter optimization.
DOI: 10.6084/m9.figshare.13200128
title: Weiss_2020_NatComm_data_behavior.zip

description: This file contains the behavioral data from the article by Weiss et al. accepted in <i>Nature Communications</i> in November 2020 and entitled <b>Interacting with volatile environments stabilizes hidden-state inference and its brain signatures</b>.<br>The file includes two datasets: 1. the behavioral data from the main MEG experiment comparing cue-based and and outcome-based inference conditions, and 2. the behavioral data from the control experiment comparing retrospective and prospective cue-based inference conditions.
DOI: 10.7479/wcst-nn56
title: Lung development in the eastern quoll (<i>Dasyurus viverrinus</i>)

description: The development of the lungs of the eastern quoll Dasyurus viverrinus, a marsupial species with extremely small newborns, was investigated by light microscopic morphometry in the early postnatal period (1-25 days). Body weight, lung volume, surface density and surface area of the lung, volume proportions of the parenchyma and non-parenchyma and the components of the later two were determined and part of this data publication. Macrographes of the external morphology of a neonate (0-12 hours old) and by 7, 14, 19 and 25 dpn (days post natum) were documented. Light micrographes of wholemount transversal and longitudinal sections of newborn eastern quolls and light micrographes of the developing eastern quoll lung were provided.
DOI: 10.15161/oar.it/73235
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: 10.18112/openneuro.ds003355.v1.0.0
title: Brain Dynamics During Flow Experiences
DOI: 10.5281/zenodo.4135053
title: Amazon Smartphones

description: Data set con datos falsos simulando información de teléfonos en la web de amazon.
DOI: 10.5281/zenodo.4135052
title: Amazon Smartphones

description: Data set con datos falsos simulando información de teléfonos en la web de amazon.
DOI: 10.6084/m9.figshare.1141971
title: GHE

description: contains R-code used for the figures and analysis presented in 'The greenhouse effect seen in old physics and new data'