cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/nng4-8s92
title: Locally Linear Embedding and fMRI feature selection in psychiatric classification

description: This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.The datasets in the tar file contain all of the preprocessing intermediates for the fMRI input to the LLE algorithm.
DOI: 10.21227/tt4h-vp22
title: Guide2Treat: Software

description: Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface. The gold standard for evaluation is determined using a human abstraction of 86 rectal cancer and 89 colon cancer patients. In order to represent the position of a patient on a clinical algorithm, the evidence-based knowledge from the guidelines must be linked to the patient-related data and visualized at the point of care. The goal is to automatically position a patient on a clinical path in order to derive a guideline-based therapy decision. Using this approach for therapy recommendation, the algorithm achieves a precision value of 90.56% for colon cancer and 82.76% for rectal cancer, with recall values of 91.11% and 86.58%. The identification of guideline-based recommendations from clinical notes has the potential to be used as a clinical decision support tool.
DOI: 10.17632/4tmr224hz7.1
title: Data for: Expanded cardboard waste sorting and occupational exposure to microbial species
DOI: 10.17632/mfrbkgmdyr.1
title: Data for: Applications of Portland cement blended with fly ash and acid mine drainage treatment sludge to control acid mine drainage generation from waste rocks

description: leachate data for large and small columns oxygen consumption datasets xrd results from cemented large columns
DOI: 10.21227/2924-v987
title: Guide2Treat: Software

description: Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface. In order to represent the position of a patient on a clinical algorithm, the evidence-based knowledge from the guidelines must be linked to the patient-related data and visualized at the point of care. The goal is to automatically position a patient on a clinical path in order to derive a guideline-based therapy decision.
DOI: 10.21227/s45a-na78
title: Guide2Treat: Software

description: Evidence-based guidelines have been proved to exhibit a positive impact on the quality of the treatment process. However, their influence on patient care remains limited. For the success and effectiveness of clinical guidelines, a fast and clear provision of knowledge at the point of care for all treating physicians is essential. A uniform formal representation is developed so that the knowledge extracted from the patient data is consistently presented at the human-machine interface. The gold standard for evaluation is determined using a human abstraction of 86 rectal cancer and 89 colon cancer patients. In order to represent the position of a patient on a clinical algorithm, the evidence-based knowledge from the guidelines must be linked to the patient-related data and visualized at the point of care. The goal is to automatically position a patient on a clinical path in order to derive a guideline-based therapy decision. Using this approach for therapy recommendation, the algorithm achieves a precision value of 90.56% for colon cancer and 82.76% for rectal cancer, with recall values of 91.11% and 86.58%. The identification of guideline-based recommendations from clinical notes has the potential to be used as a clinical decision support tool.
DOI: 10.14457/mu.res.1989.1
title: การประเมินโครงการจัดหอผู้ป่วย เพื่อพัฒนาคุณภาพการพยาบาล : ระยะสิ้นสุดโครงการ
DOI: 10.5257/iea/ri/2018-09
title: Renewables Information (September 2018 Edition)

description: Renewables Information provides a comprehensive review of historical and current market trends in OECD countries, including provisional data. It provides an overview of the development of renewables and waste in the world from 1990 onwards. A greater focus is given to the OECD countries with a review of electricity generation and capacity from renewable and waste energy sources, including detailed tables. However, an overview of developments in the world and OECD renewable and waste market is also presented. The publication encompasses energy indicators, generating capacity, electricity and heat production from renewable and waste sources, as well as production and consumption of renewables and waste.
DOI: 10.5281/zenodo.2564864
title: InVID FIVR-200K

description: The InVID FIVR-200K dataset has been developed in the context of the InVID project with the aim of simulating the problem of Fine-grained Incident Video Retrieval (FIVR). FIVR is the problem where: given a query video, the objective is to retrieve all associated videos, considering several types of associations that range from duplicate videos to videos from the same incident. To address the benchmarking needs of such problem, the large-scale video dataset FIVR-200K has been constructed. It comprises 225,960 YouTube videos collected based on 4,687 major news events crawled from Wikipedia, and 100 video queries selected based on an automatic selection process. For the annotation of the dataset, an annotation protocol has been devised with respect to four types of video associations, i.e., Near-Duplicate Videos (ND), Duplicate Scene Videos (DS), Complementary Scene Videos (CS), and Incident Scene Videos (IS). To this end, FIVR-200K dataset contains the list of the collected Youtube ids, the crawled events from Wikipedia and the video annotations, which include the set of videos for each associations type for each query in the dataset.
DOI: 10.14469/hpc/5039
title: Haloamidines, NN cyclisation , Na(H2O)3OH IRC

description: Gaussian Calculation
DOI: 10.5281/zenodo.2564863
title: InVID FIVR-200K

description: The InVID FIVR-200K dataset has been developed in the context of the InVID project with the aim of simulating the problem of Fine-grained Incident Video Retrieval (FIVR). FIVR is the problem where: given a query video, the objective is to retrieve all associated videos, considering several types of associations that range from duplicate videos to videos from the same incident. To address the benchmarking needs of such problem, the large-scale video dataset FIVR-200K has been constructed. It comprises 225,960 YouTube videos collected based on 4,687 major news events crawled from Wikipedia, and 100 video queries selected based on an automatic selection process. For the annotation of the dataset, an annotation protocol has been devised with respect to four types of video associations, i.e., Near-Duplicate Videos (ND), Duplicate Scene Videos (DS), Complementary Scene Videos (CS), and Incident Scene Videos (IS). To this end, FIVR-200K dataset contains the list of the collected Youtube ids, the crawled events from Wikipedia and the video annotations, which include the set of videos for each associations type for each query in the dataset.
DOI: 10.5066/f79s1q0d
title: Data for Assessing the Lead Solubility Potential of Untreated Groundwater of the United States

description: Groundwater chemistry data used for assessing the lead (Pb) solubility potential of untreated groundwater of the United States were compiled from the USGS National Water Information System (NWIS) database for groundwater sites sampled between January 1, 2000 and January 1, 2016. Two datasets were compiled: one dataset having 13,324 groundwater sites was used to assess Pb occurrence in untreated groundwater from different well types and a second dataset having 8,313 groundwater sites was used for geochemical modeling (Tables S1 and S2). In both datasets, only the most recent sample was used when multiple water-quality samples were available for a site. Samples were collected in accordance with protocols established by the USGS National Field Manual and the USGS National Water Quality Assessment (NAWQA) project. Samples for Pb, major ions, and nutrients were filtered with 0.45 micrometers capsule filters prior to analysis. Pb was screened to a common reporting level of 1 mcg/L. Non-detections and detected Pb concentrations that were at or below 1 mcg/L were recoded to 0.5 mcg/L. Non-detections of Pb above 1 mcg/L were removed from the dataset. The censoring of reporting levels mainly affected older samples that used analytical methods with higher detection levels. Table 1 includes groundwater samples from sites used for public-supply (PS), domestic (DOM), monitoring, and for other purposes, such as irrigation, stock, or industrial supply. Groundwater sites are mainly wells, but include some springs. From heretofore drinking water supply (DW) sites will be used to refer to DOM and PS sites as a group. The geochemical modeling dataset was compiled to obtain DW samples with a complete set of measured values of pH, calcium, magnesium, sodium, chloride, and sulfate. Alkalinity, fluoride (F), orthophosphate (OP), and bromide were included when available. DW sites were the primary source of data used to evaluate the solubility of Pb in untreated groundwater. Pb that was measured on the same date as the sample used for geochemical modeling was retained for statistical analysis of model output but was not included as input to the geochemical model. In addition, samples with missing alkalinity values were included when pH was at or below 5.5 and cation-anion balances were within 5%, indicating alkalinity was not a major component of the ion chemistry.
DOI: 10.5281/zenodo.2564917
title: RAGE - Data Evaluation HATCH pilot 2

description: <strong>General description: </strong>Data from the second Evaluation of the HATCH game - pilot round 2

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2018

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong>target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: HATCH - The Creative Entrepreneur game<br>
Methodology/design: Pre-post test design<br>
Evaluation variables: entrepreneurial skills, usability, enjoyment, usefulness, flow

<strong>Instruments:</strong>  Entrepreneurial Skills Questionnaire - ESQ; Game User Experience Satisfaction Scale - GUESS (Phan, Keebler, & Chaparro, 2016), subscales Usability/Playability and Enjoyment; Intrinsic Motivation Inventory - IMI (Ryan, 1982), subscale Value/Usefulness; Flow Short Scale - FSS (Rheinberg et al., 2003)

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: cognitive skills - understanding, remembering, applying, creating<br>
ESCO skills: entrepreneurship (http://data.europa.eu/esco/skill/658605f2-1c95-49f0-bd98-0af7b15ad0b0); show entrepreneurial spirit (http://data.europa.eu/esco/skill/bdcf429c-5ccf-4c3d-bb61-4c987573a35e); business processes (http://data.europa.eu/esco/skill/9e84a506-df06-4be3-874a-fa01293e3dd5)<br>
<br>
<strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2577143
description: further explanation on the data:
- s01-s05: GUESS - subscale Enjoyment;
- s06-s12: Intrinsic Motivation Inventory - subscale Value/Usefulness;
- s13-s22: Flow Short Scale (Flow Items);
- s23-s33: GUESS - subscale Usability/Playability
DOI: 10.5281/zenodo.2564918
title: RAGE - Data Evaluation HATCH pilot 2

description: <strong>General description: </strong>Data from the second Evaluation of the HATCH game - pilot round 2

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies<br>
PsycINFO Classification: 3530 Curriculum & Programs & Teaching Methods

<strong>Name entitites</strong><br>
Organizational information: Hull College of Further Education, supported by Graz University of Technology<br>
Geographical information: United Kingdom<br>
Time information: 2018

<strong>Types</strong>: Excel

<strong>RAGCS target group:</strong>target groups - demand side - end users - adults - college

<strong>Evaluation dimensions</strong><br>
Evaluation object: HATCH - The Creative Entrepreneur game<br>
Methodology/design: Pre-post test design<br>
Evaluation variables: entrepreneurial skills, usability, enjoyment, usefulness, flow

<strong>Instruments:</strong>  Entrepreneurial Skills Questionnaire - ESQ; Game User Experience Satisfaction Scale - GUESS (Phan, Keebler, & Chaparro, 2016), subscales Usability/Playability and Enjoyment; Intrinsic Motivation Inventory - IMI (Ryan, 1982), subscale Value/Usefulness; Flow Short Scale - FSS (Rheinberg et al., 2003)

<strong>Knowledge/skill elements</strong><br>
RAGCS skills: cognitive skills - understanding, remembering, applying, creating<br>
ESCO skills: entrepreneurship (http://data.europa.eu/esco/skill/658605f2-1c95-49f0-bd98-0af7b15ad0b0); show entrepreneurial spirit (http://data.europa.eu/esco/skill/bdcf429c-5ccf-4c3d-bb61-4c987573a35e); business processes (http://data.europa.eu/esco/skill/9e84a506-df06-4be3-874a-fa01293e3dd5)<br>
<br>
<strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br>
Related dataset: 10.5281/zenodo.2577143
description: further explanation on the data:
- s01-s05: GUESS - subscale Enjoyment;
- s06-s12: Intrinsic Motivation Inventory - subscale Value/Usefulness;
- s13-s22: Flow Short Scale (Flow Items);
- s23-s33: GUESS - subscale Usability/Playability
DOI: 10.5281/zenodo.2565068
title: Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes: an ATC-like and a PDTC-like

description: Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes: an ATC-like and a PDTC-like
DOI: 10.5281/zenodo.2565067
title: Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes: an ATC-like and a PDTC-like

description: Supplemental Material from: Immune Profiling of Thyroid Carcinomas Suggests the Existence of Two Major Phenotypes: an ATC-like and a PDTC-like
DOI: 10.5281/zenodo.2565308
title: Joint sound scene and event dataset

description: A dataset of synthentic sound scenes created in scaper [1]using real-world recordings. Synthesized scenes are split into train and test such that no original recordings are in both splits. Dataset created for the task of performing both acoustic scene classification jointly with sound event detection. Time stamped annotations and jams files included. 10 acoustic scene classes, 32 sound event classes. filename syntax is [sceneLabel_recordingID_polyphonylevel] Full credits / citation details are below, please contact Yogi at h.bear@qmul.ac.uk with any queries. Citation: Helen L Bear, Ines Nolasco, and Emmanouil Benetos, <em>Towards joint sound scene and polyphonic sound event detection.</em> Interspeech 2019. Graz. References Salamon, Justin, et al. "Scaper: A library for soundscape synthesis and augmentation." <em>Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017 IEEE Workshop on</em>. IEEE, 2017.
DOI: 10.5281/zenodo.2565309
title: Joint sound scene and event dataset

description: A dataset of synthentic sound scenes created in scaper [1]using real-world recordings. Synthesized scenes are split into train and test such that no original recordings are in both splits. Dataset created for the task of performing both acoustic scene classification jointly with sound event detection. Time stamped annotations and jams files included. 10 acoustic scene classes, 32 sound event classes. filename syntax is [sceneLabel_recordingID_polyphonylevel] Full credits / citation details are below, please contact Yogi at h.bear@qmul.ac.uk with any queries. Citation: Helen L Bear, Ines Nolasco, and Emmanouil Benetos, <em>Towards joint sound scene and polyphonic sound event detection.</em> Interspeech 2019. Graz. References Salamon, Justin, et al. "Scaper: A library for soundscape synthesis and augmentation." <em>Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017 IEEE Workshop on</em>. IEEE, 2017.
DOI: 10.5066/f7513xhj
title: Vegetation Community Data within a Proposed Wetland Area on the NM Boys and Girls Ranch near Bernardo, New Mexico

description: The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.
DOI: 10.5281/zenodo.2565716
title: Evaluation of Materials for Asphalt Mixture Performance, Semi-Circular Bend Laboratory Tests

description: A study was conducted to evaluate the repeatability of the Flexibility Index of asphalt mixtures obtained according to AASHTO TP-124-16.  Three asphalt concrete samples were mixed and compacted using the Superpave Gyratory Compactor in one laboratory.  The samples were then cut to specific dimensions for semi-circular bend testing based on the AASHTO Specifications at a single laboratory using a dedicated cutting equipment.  The samples were randomized and distributed equally among three different testing labs.

The process was repeated three times and in some instances the rate of loading was varied.

This experiment allowed to study the repeatability of the the Flexibility Index
description: This work was funded by the Utah Department of Transportation
DOI: 10.5281/zenodo.2565705
title: Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data

description: Figure Data for DOI:10.1101/393082.
DOI: 10.5517/ccdc.csd.cc20r655
title: CCDC 1869336: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peel, Noriyuki Tezuka, James M. D'Rozario, Masanobu Uchiyama, Andrew E. H. Wheatley|2019|Chemical Science|10|3385|doi:10.1039/C8SC04325F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20r677
title: CCDC 1869338: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peel, Noriyuki Tezuka, James M. D'Rozario, Masanobu Uchiyama, Andrew E. H. Wheatley|2019|Chemical Science|10|3385|doi:10.1039/C8SC04325F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20rwk7
title: CCDC 1869999: Experimental Crystal Structure Determination

description: Related Article: Kai Sun, Shi-Jun Li, Xiao-Lan Chen, Yan Liu, Xian-Qiang Huang, Dong-Hui Wei, Ling-Bo Qu, Yu-Fen Zhao, Bing Yu|2019|Chem.Commun.|55|2861|doi:10.1039/C8CC10243K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20s6cd
title: CCDC 1870303: Experimental Crystal Structure Determination

description: Related Article: Bianca L. Ramirez, Prachi Sharma, Reed J. Eisenhart, Laura Gagliardi, Connie C. Lu|2019|Chemical Science|10|3375|doi:10.1039/C8SC04712J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20s6df
title: CCDC 1870304: Experimental Crystal Structure Determination

description: Related Article: Bianca L. Ramirez, Prachi Sharma, Reed J. Eisenhart, Laura Gagliardi, Connie C. Lu|2019|Chemical Science|10|3375|doi:10.1039/C8SC04712J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.