cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/v5p4-5q64
title: 0000-0003-0119-2326

description: Improving performance and safety conditions on industrial sites remains a key element of the company's strategy. The major challenges require, the ability to dynamically locate people and goods on the site. Security and regulation of access to areas with different characteristics (types of tasks, level of risk or confidentiality...) are often ensured by doors or badge barriers. These means have several weaknesses when faced with inappropriate movements of people, but also an inappropriate use of objects or tools. In addition, there is a growing use of technological devices requiring precise location in the industrial environment, such as mobile robots or drones. It is therefore becoming essential to have the tools to dynamically manage these flows of people or goods associated with precise location technologies. Ultra-wideband and motion capture system solutions will be used to quickly and efficiently identify people who may be in unauthorized areas or perform tasks for which they have not been instructed. In addition to the dynamic tracking of people, this solution overcomes the problems of moving objects and tools around the production floor. We offer a new set of data to provide information on worker movement and to evaluate worker performance and safety.
DOI: 10.21227/wpxw-6v26
title: 0000-0003-0119-2326

description: Improving performance and safety conditions on industrial sites remains a key element of the company's strategy. The major challenges require, the ability to dynamically locate people and goods on the site. Security and regulation of access to areas with different characteristics (types of tasks, level of risk or confidentiality...) are often ensured by doors or badge barriers. These means have several weaknesses when faced with inappropriate movements of people, but also an inappropriate use of objects or tools. In addition, there is a growing use of technological devices requiring precise location in the industrial environment, such as mobile robots or drones. It is therefore becoming essential to have the tools to dynamically manage these flows of people or goods associated with precise location technologies. Ultra-wideband and motion capture system solutions will be used to quickly and efficiently identify people who may be in unauthorized areas or perform tasks for which they have not been instructed. In addition to the dynamic tracking of people, this solution overcomes the problems of moving objects and tools around the production floor. We offer a new set of data to provide information on worker movement and to evaluate worker performance and safety.
DOI: 10.25345/c5471j
title: MassIVE MSV000085488 - GNPS Test for Nudibranch Works from Okinawan 2020-3
title: GNPS Test for Nudibranch Works from Okinawan 2020-3 New
DOI: 10.25345/c5wq5q
title: MassIVE MSV000085482 - Test for Nudibranch Works from Okinawan 2020
title: Test of Molecular Networking for Nudibranch Works from Okinawan 2020
DOI: 10.5281/zenodo.1406190
title: Duhumbi Discussions - Transcribed, parsed, glossed, translated text files

description: This dataset contains the .wav sound files, .trs Transcriber files, .txt Toolbox-compatible Notepad files and .pdf files with the completely transcribed, glossed, parsed and translated examples of the following recordings that belong to the following publication: Bodt, Timotheus Adrianus. 2020. Grammar of Duhumbi. Leiden: Brill. ISBN 978-90-04-40947-7. https://brill.com/view/title/55767 [CHUKxxxx13A6] / LEL / Local elections (not included on speaker's request) [CHUK300412J2] / LGT / Planning a trip to Lagam [CHUK260413A2A] / NNK / Nicknames The explanation of all the grammatical features that occur in these sound files can be found in the Grammar of Duhumbi. The main Toolbox files can be found in the zip file “Settings”, this includes the IPA keys for Duhumbi, the entire setup of the Toolbox database, and the Duhumbi dictionary and Parsing dictionary. The .wav, .txt and .trs files combined in the same folder will enable to open Toolbox and work with the recordings, e.g. play them sentence for sentence and see the transcriptions and translations. Transcriber version 1.5.1: http://trans.sourceforge.net/en/presentation.php or https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/ Toolbox version 1.6.1: https://software.sil.org/toolbox/download/ For the metadata of the sound files in this data set, I refer to Chapter 13 Texts in the Grammar of Duhumbi. This Chapter has a complete listing of the texts, their topics, the speakers and their background etc. This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions. This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on https://creativecommons.org/licenses/by-nc-sa/4.0/. Legal Code on https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. Tim Bodt: monpasang (at) gmail (dot) com
DOI: 10.5281/zenodo.1406191
title: Duhumbi Discussions - Transcribed, parsed, glossed, translated text files

description: This dataset contains the .wav sound files, .trs Transcriber files, .txt Toolbox-compatible Notepad files and .pdf files with the completely transcribed, glossed, parsed and translated examples of the following recordings that belong to the following publication: Bodt, Timotheus Adrianus. 2020. Grammar of Duhumbi. Leiden: Brill. ISBN 978-90-04-40947-7. https://brill.com/view/title/55767 [CHUKxxxx13A6] / LEL / Local elections (not included on speaker's request) [CHUK300412J2] / LGT / Planning a trip to Lagam [CHUK260413A2A] / NNK / Nicknames The explanation of all the grammatical features that occur in these sound files can be found in the Grammar of Duhumbi. The main Toolbox files can be found in the zip file “Settings”, this includes the IPA keys for Duhumbi, the entire setup of the Toolbox database, and the Duhumbi dictionary and Parsing dictionary. The .wav, .txt and .trs files combined in the same folder will enable to open Toolbox and work with the recordings, e.g. play them sentence for sentence and see the transcriptions and translations. Transcriber version 1.5.1: http://trans.sourceforge.net/en/presentation.php or https://osdn.net/projects/sfnet_trans/downloads/transcriber/1.5.1/Transcriber-1.5.1-Windows.exe/ Toolbox version 1.6.1: https://software.sil.org/toolbox/download/ For the metadata of the sound files in this data set, I refer to Chapter 13 Texts in the Grammar of Duhumbi. This Chapter has a complete listing of the texts, their topics, the speakers and their background etc. This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions. This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on https://creativecommons.org/licenses/by-nc-sa/4.0/. Legal Code on https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. Tim Bodt: monpasang (at) gmail (dot) com
DOI: 10.25345/c5rx3s
title: MassIVE MSV000085483 - Membrane-Based Affinity Purification to Identify Target Proteins of a Small Molecule Drug
title: This work employs carbonic anhydrase II (CAII) binding to immobilized 4-(2-aminoethyl)benzenesulfonamide (AEBSA) to examine the efficiency and selectivity of affinity capture in modified membranes. We utilize MaxLFQ (MaxQuant label-free quantification) to relatively quantify the intensity changes of proteins in the sample and control experiments.
DOI: 10.25345/c5n716
title: MassIVE MSV000085484 - Alkali Metal Cationization of Tumor-associated Antigens for Improved Dissociation and Measurement by Differential Ion Mobility-Mass Spectrometry
title: Dataset contains tandem mass spectra of tumor specific antigens detected as both protonated and alkali metal cationized species.
DOI: 10.25430/researchdata.cab.unipd.it.00000353
title: hCRH test in Padova 2010-2019

description: We performed ACTH and cortisol levels during hCRHtest in 200 patients (86 CD, 15 EAS, 18 adrenal CS, 25 subclinical adrenal autonomous cortisol secretion, 31 pseudo-CS, 25 suspected AI). We collected the peaks value (peakACTH and peakcortisol) and calculated the percentage increases (∆%ACTH and ∆%cortisol) after an i.v. bolus of 100 μg hCRH.
DOI: 10.5281/zenodo.3839593
title: Simulation data for "Evidence for nonlinear interactions between magnetospheric electron cyclotron harmonic waves"

description: Growth rate data of ECH waves calculate by the WHAMP code.
DOI: 10.5281/zenodo.3839594
title: Simulation data for "Evidence for nonlinear interactions between magnetospheric electron cyclotron harmonic waves"

description: Growth rate data of ECH waves calculate by the WHAMP code.
DOI: 10.5281/zenodo.3862131
title: Martin2019 GSE134809 Ileal Crohn's dataset for besca

description: The gene expression matrix was downloaded from GEO (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE134809), originally published by Martin JC, Chang C, Boschetti G, et al. Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy. <em>Cell</em>. 2019;178(6):1493‐1508.e20. doi:10.1016/j.cell.2019.08.008. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
description: {"references": ["Martin JC, Chang C, Boschetti G, et al. Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy. Cell. 2019;178(6):1493\u20101508.e20. doi:10.1016/j.cell.2019.08.008"]}
DOI: 10.5281/zenodo.3862132
title: Martin2019 GSE134809 Ileal Crohn's dataset for besca

description: The gene expression matrix was downloaded from GEO (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE134809), originally published by Martin JC, Chang C, Boschetti G, et al. Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy. <em>Cell</em>. 2019;178(6):1493‐1508.e20. doi:10.1016/j.cell.2019.08.008. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
description: {"references": ["Martin JC, Chang C, Boschetti G, et al. Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy. Cell. 2019;178(6):1493\u20101508.e20. doi:10.1016/j.cell.2019.08.008"]}
DOI: 10.15468/aekze7
title: The cicadas (Hemiptera: Cicadidae) of Peru including the description of twenty-four new species, three new synonymies, and thirty-seven new records

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sanborn, Allen F. (2020): The cicadas (Hemiptera: Cicadidae) of Peru including the description of twenty-four new species, three new synonymies, and thirty-seven new records. Zootaxa 4785 (1): 1-129, DOI: https://doi.org/10.11646/zootaxa.4785.1.1
DOI: 10.18112/openneuro.ds002790.v1.0.1
title: Put the name of your experiment here
DOI: 10.5281/zenodo.3862075
title: Data and code for the analysis in "Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland"

description: Data and code used for the analysis in <em>Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland</em> (Lemaitre et al., Swiss Medial Weekly 2020).
DOI: 10.5281/zenodo.3862076
title: Data and code for the analysis in "Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland"

description: Data and code used for the analysis in <em>Assessing the impact of non-pharmaceutical interventions on SARS-CoV-2 transmission in Switzerland</em> (Lemaitre et al., Swiss Medial Weekly 2020).
DOI: 10.5281/zenodo.3862317
title: bhermann/artifact-survey: v1 - Blinded version

description: This version was available to the reviewers during the paper review. Results of the card sorting and the figures were added with the rebuttal in order to provide more information to the reviewers.
DOI: 10.18112/openneuro.ds002785.v1.0.1
title: AOMIC-PIOP1
DOI: 10.5281/zenodo.3862150
title: MGB hydrological model for Paraná Basin

description: This dataset contains model code, input and output data for the MGB hydrological model applied to the Upper Paraná Basin. Output files (QTUDO_XXX.QBI) are binary ones (single format) containing daily discharges for all model unit-catchments for each simulation scenario. Simulation scenarios are a combination of storage representation and operation rule types. Storage representation types: L=Lumped reservoir E=Equally distributed reservoir V=Variably distributed reservoir Operation rules: T=Three points rule Tg=rule T with global-based configuration R=regression-based rule Rg=rule R with global-based configuration S=inflow-based rule (based on Shin et al. 2019 WRR) Sg=rule S with global-based configuration Additionally, simulation scenarios with pristine conditions (i.e., without reservoirs) and without floodplains are also provided. For further details please contact Ayan Fleischmann at 'ayan.fleischmann at gmail.com'.
DOI: 10.5281/zenodo.3862151
title: MGB hydrological model for Paraná Basin

description: This dataset contains model code, input and output data for the MGB hydrological model applied to the Upper Paraná Basin. Output files (QTUDO_XXX.QBI) are binary ones (single format) containing daily discharges for all model unit-catchments for each simulation scenario. Simulation scenarios are a combination of storage representation and operation rule types. Storage representation types: L=Lumped reservoir E=Equally distributed reservoir V=Variably distributed reservoir Operation rules: T=Three points rule Tg=rule T with global-based configuration R=regression-based rule Rg=rule R with global-based configuration S=inflow-based rule (based on Shin et al. 2019 WRR) Sg=rule S with global-based configuration Additionally, simulation scenarios with pristine conditions (i.e., without reservoirs) and without floodplains are also provided. For further details please contact Ayan Fleischmann at 'ayan.fleischmann at gmail.com'.
DOI: 10.15468/qxnyz8
title: An annotated distributional checklist of Vespidae (Hymenoptera: Vespoidea) of India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gawas, Sandesh M., Kumar, Girish, Pannure, Arati, Gupta, Ankita, Carpenter, James M. (2020): An annotated distributional checklist of Vespidae (Hymenoptera: Vespoidea) of India. Zootaxa 4784 (1): 1-87, DOI: https://doi.org/10.11646/zootaxa.4784.1.1
DOI: 10.5281/zenodo.3862625
title: SPEC RG Technical Report: A Review of Serverless Use Cases and their Characteristics - Dataset

description: <strong><em>PrettyDataset.xlsx</em></strong> Our data set of 89 serverless use cases and their mapping to 24 characteristics. In form of an Excel file to simplify manual inspection. Columns represent characteristics, rows represent use cases. <em><strong>Dataset.csv</strong></em> Raw version of our data set of 89 serverless use cases and their mapping to 24 characteristics as a CSV file for automated analysis. Columns represent characteristics, rows represent use cases. <em><strong>Initial Characterizations.csv</strong></em> Reviewer characterizations prior to the discussion and consolidation phase. Required for the calculation of the fleiss kappa score. <em><strong>CalculateKappa.py</strong></em> Python script for the calculation of the fleiss kappa score shown in the technical report. Requires Python 3.6. <em><strong>GenerateFigures.py</strong></em> Python script for the generation of all figures shown in the technical report. Requires Python 3.6.
DOI: 10.26302/sshade/experiment_sb_20200430_001
title: Optical constants in the MIR and FIR for oriented hibonite crystals parallel and perpendicular to the c-axis
DOI: 10.5281/zenodo.3862324
title: Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data

description: Extended data for Article published in Wellcome Open Research (Appendices 1,2 & 3). Abstract of Article: <strong>Background:</strong> Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives to diagnose dementia; however, 33% of patients are still not receiving a diagnosis. We explored automating early detection of dementia using data from patients’ electronic health records (EHRs). We investigated: a) how early a machine-learning model could accurately identify dementia before the physician; b) if models could be tuned for dementia subtype; and c) what the best clinical features were for achieving detection. <strong>Methods:</strong> Using EHRs from Clinical Practice Research Datalink in a case-control design, we selected patients aged &gt;65y with a diagnosis of dementia recorded 2000-2012 (cases) and matched them 1:1 to controls; we also identified subsets of Alzheimer’s and vascular dementia patients. Using 77 coded concepts recorded in the 5 years before diagnosis, we trained random forest classifiers, and evaluated models using Area Under the Receiver Operating Characteristic Curve (AUC). We examined models by year prior to diagnosis, subtype, and the most important features contributing to classification. <strong>Results:</strong> 95,202 patients (median age 83y; 64.8% female) were included (50% dementia cases). Classification of dementia cases and controls was poor 2-5 years prior to physician-recorded diagnosis (AUC range 0.55-0.65) but good in the year before (AUC: 0.84). Features indicating increasing cognitive and physical frailty dominated models 2-5 years before diagnosis; in the final year, initiation of the dementia diagnostic pathway (symptoms, screening and referral) explained the sudden increase in accuracy. No substantial differences were seen between all-cause dementia and subtypes. <strong>Conclusions:</strong> Automated detection of dementia earlier than the treating physician may be problematic, if using only primary care data. Future work should investigate more complex modelling, benefits of linking multiple sources of healthcare data and monitoring devices, or contextualising the algorithm to those cases that the GP would need to investigate.
description: Appendices and extended data linked to the main manuscript.
DOI: 10.5281/zenodo.3862325
title: Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data

description: Extended data for Article published in Wellcome Open Research (Appendices 1,2 & 3). Abstract of Article: <strong>Background:</strong> Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives to diagnose dementia; however, 33% of patients are still not receiving a diagnosis. We explored automating early detection of dementia using data from patients’ electronic health records (EHRs). We investigated: a) how early a machine-learning model could accurately identify dementia before the physician; b) if models could be tuned for dementia subtype; and c) what the best clinical features were for achieving detection. <strong>Methods:</strong> Using EHRs from Clinical Practice Research Datalink in a case-control design, we selected patients aged &gt;65y with a diagnosis of dementia recorded 2000-2012 (cases) and matched them 1:1 to controls; we also identified subsets of Alzheimer’s and vascular dementia patients. Using 77 coded concepts recorded in the 5 years before diagnosis, we trained random forest classifiers, and evaluated models using Area Under the Receiver Operating Characteristic Curve (AUC). We examined models by year prior to diagnosis, subtype, and the most important features contributing to classification. <strong>Results:</strong> 95,202 patients (median age 83y; 64.8% female) were included (50% dementia cases). Classification of dementia cases and controls was poor 2-5 years prior to physician-recorded diagnosis (AUC range 0.55-0.65) but good in the year before (AUC: 0.84). Features indicating increasing cognitive and physical frailty dominated models 2-5 years before diagnosis; in the final year, initiation of the dementia diagnostic pathway (symptoms, screening and referral) explained the sudden increase in accuracy. No substantial differences were seen between all-cause dementia and subtypes. <strong>Conclusions:</strong> Automated detection of dementia earlier than the treating physician may be problematic, if using only primary care data. Future work should investigate more complex modelling, benefits of linking multiple sources of healthcare data and monitoring devices, or contextualising the algorithm to those cases that the GP would need to investigate.
description: Appendices and extended data linked to the main manuscript.
DOI: 10.21227/rs3e-bt44
title: MIS NAND/NOR simulations

description: Traditional Static Timing Analysis (STA) assumes only single input switches at a time with the side input held at non-controlling value. This introduces unnecessary pessimism or optimism which may cause degradation of performance or chip failure. Modeling Multi-Input Switching (MIS) requires a good amount of simulations hence we provide adataset comprising of SPICE simulations done on 2 input NAND and NOR gate. The simulations are done in a Multi-Input Switching Scenario, where both the inputs switch simultaneouslysimulations using NANGATE FreePDK 15nm library and models on a parasitics extracted netlist.
DOI: 10.21227/e75c-v931
title: Test

description: Test
DOI: 10.14457/cu.res.1997.1
title: เมืองไทยในความใฝ่ฝันของนักคิดอาวุโส ผู้ใหญ่วิบูลย์ เข็มเฉลิม
DOI: 10.14457/cu.res.2009.136
title: สารที่มีฤทธ์ิในการรักษาโรคมะเร็งจากเปล้าใหญ่
DOI: 10.14457/cu.res.2012.118
title: โครงการวัฒนธรรมการบริโภคในบันเทิงคดีไทยร่วมสมัย
DOI: 10.14457/cu.res.2015.77
title: การบรรเทาปัญหาการกัดเซาะแนวชายฝั่งทะเลบริเวณป่าเลนน้ำเชี่ยว-ท่าตะเภา จังหวัดตราด โดยกระบวนการเรียนรู้ทางวิทยาศาสตร์และภูมิปัญญาท้องถิ่นของชุมชนบ้านเปร็ดใน
DOI: 10.14457/cu.res.2015.78
title: โครงการ การเพิ่มขีดความสามารถขององค์กรปกครองส่วนท้องถิ่นด้านการประเมินผลกระทบต่อสิ่งแวดล้อมและสุขภาพ
DOI: 10.25345/c50h6z
title: MassIVE MSV000085489 - MOLECULAR_NETWORKING_MASSive_FDR_66C_MODpos
title: MOLECULAR NETWORKING OF THE TRICHODERMA SPIRALE FUND
DOI: 10.14457/cu.res.2000.12
title: แรงงานไทย : 35 ปี บนเส้นทางการเติบโตทางเศรษฐกิจของประเทศ
DOI: 10.14457/cu.res.2007.98
title: การจัดสัมมนาเรื่อง ทางออกของปลาปักเป้าจะเป็นอย่างไร?