cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26rdhw
title: CCDC 2048278: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Hu, Xin Xie, Yi Gan, Gaonan Wang, Yuanhong Liu|2021|Org.Lett.|23|1296|doi:10.1021/acs.orglett.0c04278
DOI: 10.5517/ccdc.csd.cc26s539
title: CCDC 2049010: Experimental Crystal Structure Determination

description: Related Article: Yuan-Yuan Gao, Chun-Lin Zhang, Lei Dai, You-Feng Han, Song Ye|2021|Org.Lett.|23|1361|doi:10.1021/acs.orglett.1c00024
DOI: 10.5517/ccdc.csd.cc26sk2n
title: CCDC 2049381: Experimental Crystal Structure Determination

description: Related Article: Zhong-Qiu Li, Jian-Hong Tang, Yan-Qin He, Zhong-Liang Gong, Jiang-Yang Shao, Yu-Wu Zhong|2021|Cryst.Growth Des.|21|1854|doi:10.1021/acs.cgd.0c01737
DOI: 10.5517/ccdc.csd.cc26skwg
title: CCDC 2049406: Experimental Crystal Structure Determination

description: Related Article: Zhi-Jie Niu, Lian-Hua Li, Xue-Song Li, Hong-Chao Liu, Wei-Yu Shi, Yong-Min Liang|2021|Org.Lett.|23|1315|doi:10.1021/acs.orglett.0c04300
DOI: 10.5517/ccdc.csd.cc26skxh
title: CCDC 2049407: Experimental Crystal Structure Determination

description: Related Article: Zhi-Jie Niu, Lian-Hua Li, Xue-Song Li, Hong-Chao Liu, Wei-Yu Shi, Yong-Min Liang|2021|Org.Lett.|23|1315|doi:10.1021/acs.orglett.0c04300
DOI: 10.5517/ccdc.csd.cc26sjyh
title: CCDC 2049377: Experimental Crystal Structure Determination

description: Related Article: Zhong-Qiu Li, Jian-Hong Tang, Yan-Qin He, Zhong-Liang Gong, Jiang-Yang Shao, Yu-Wu Zhong|2021|Cryst.Growth Des.|21|1854|doi:10.1021/acs.cgd.0c01737
DOI: 10.5517/ccdc.csd.cc26sk1m
title: CCDC 2049380: Experimental Crystal Structure Determination

description: Related Article: Zhong-Qiu Li, Jian-Hong Tang, Yan-Qin He, Zhong-Liang Gong, Jiang-Yang Shao, Yu-Wu Zhong|2021|Cryst.Growth Des.|21|1854|doi:10.1021/acs.cgd.0c01737
DOI: 10.5517/ccdc.csd.cc26sk3p
title: CCDC 2049382: Experimental Crystal Structure Determination

description: Related Article: Zhong-Qiu Li, Jian-Hong Tang, Yan-Qin He, Zhong-Liang Gong, Jiang-Yang Shao, Yu-Wu Zhong|2021|Cryst.Growth Des.|21|1854|doi:10.1021/acs.cgd.0c01737
DOI: 10.5517/ccdc.csd.cc26tkby
title: CCDC 2050350: Experimental Crystal Structure Determination

description: Related Article: Ming Xia, Miriding Mutailipu, Fuming Li, Zhihua Yang, Shilie Pan|2021|Cryst.Growth Des.|21|1869|doi:10.1021/acs.cgd.1c00024
DOI: 10.5517/ccdc.csd.cc26tkf1
title: CCDC 2050353: Experimental Crystal Structure Determination

description: Related Article: Ming Xia, Miriding Mutailipu, Fuming Li, Zhihua Yang, Shilie Pan|2021|Cryst.Growth Des.|21|1869|doi:10.1021/acs.cgd.1c00024
DOI: 10.5517/ccdc.csd.cc26tkh3
title: CCDC 2050355: Experimental Crystal Structure Determination

description: Related Article: Ming Xia, Miriding Mutailipu, Fuming Li, Zhihua Yang, Shilie Pan|2021|Cryst.Growth Des.|21|1869|doi:10.1021/acs.cgd.1c00024
DOI: 10.5517/ccdc.csd.cc26tkj4
title: CCDC 2050356: Experimental Crystal Structure Determination

description: Related Article: Ming Xia, Miriding Mutailipu, Fuming Li, Zhihua Yang, Shilie Pan|2021|Cryst.Growth Des.|21|1869|doi:10.1021/acs.cgd.1c00024
DOI: 10.5517/ccdc.csd.cc26w9xb
title: CCDC 2052042: Experimental Crystal Structure Determination

description: Related Article: Tsuyoshi A. Kohlgruber, Ganna A. Senchyk, Virginia G. Rodriguez, Stephanie A. Mackley, Fabrice Dal Bo, Sergey M. Aksenov, Jennifer E. S. Szymanowski, Ginger E. Sigmon, Allen G. Oliver, Peter C. Burns|2021|Inorg.Chem.|60|3355|doi:10.1021/acs.inorgchem.0c03765
DOI: 10.5517/ccdc.csd.cc26w9yc
title: CCDC 2052043: Experimental Crystal Structure Determination

description: Related Article: Tsuyoshi A. Kohlgruber, Ganna A. Senchyk, Virginia G. Rodriguez, Stephanie A. Mackley, Fabrice Dal Bo, Sergey M. Aksenov, Jennifer E. S. Szymanowski, Ginger E. Sigmon, Allen G. Oliver, Peter C. Burns|2021|Inorg.Chem.|60|3355|doi:10.1021/acs.inorgchem.0c03765
DOI: 10.5517/ccdc.csd.cc26w9zd
title: CCDC 2052044: Experimental Crystal Structure Determination

description: Related Article: Tsuyoshi A. Kohlgruber, Ganna A. Senchyk, Virginia G. Rodriguez, Stephanie A. Mackley, Fabrice Dal Bo, Sergey M. Aksenov, Jennifer E. S. Szymanowski, Ginger E. Sigmon, Allen G. Oliver, Peter C. Burns|2021|Inorg.Chem.|60|3355|doi:10.1021/acs.inorgchem.0c03765
DOI: 10.5517/ccdc.csd.cc26xs86
title: CCDC 2053448: Experimental Crystal Structure Determination

description: Related Article: Ming Xia, Miriding Mutailipu, Fuming Li, Zhihua Yang, Shilie Pan|2021|Cryst.Growth Des.|21|1869|doi:10.1021/acs.cgd.1c00024
DOI: 10.5517/ccdc.csd.cc27185r
title: CCDC 2056793: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Hu, Xin Xie, Yi Gan, Gaonan Wang, Yuanhong Liu|2021|Org.Lett.|23|1296|doi:10.1021/acs.orglett.0c04278
DOI: 10.5517/ccdc.csd.cc271xks
title: CCDC 2057425: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Hu, Xin Xie, Yi Gan, Gaonan Wang, Yuanhong Liu|2021|Org.Lett.|23|1296|doi:10.1021/acs.orglett.0c04278
DOI: 10.5517/ccdc.csd.cc271xlt
title: CCDC 2057426: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Hu, Xin Xie, Yi Gan, Gaonan Wang, Yuanhong Liu|2021|Org.Lett.|23|1296|doi:10.1021/acs.orglett.0c04278
DOI: 10.21227/a7ar-sx17
title: Feature tables and source code for Camargo et al. A Machine Learning Strategy for Locomotion Classification and Parameter Estimation using Fusion of Wearable Sensors. Transactions on Biomedical Engineering. 2021

description: Feature tables and source code for Camargo et al. A Machine Learning Strategy for Locomotion Classification and Parameter Estimation using Fusion of Wearable Sensors. Transactions on Biomedical Engineering. 2021
DOI: 10.25919/tyc9-tt16
title: Parkes observations for project P1061 semester 2020OCTS_17

description: Fast Radio Bursts (FRBs) have extremely high brightness temperature, owing to their short-duration and prominent flux from the distant universe. The studies on emission mechanism of FRBs have met bottleneck for a long time unless a complete spectrum is measured. We propose to observe a new repeating FRB source, FRB 180301, using the Parkes ultra-wide-bandwidth receiver (UWL). This source was initially found by Parkes multibeam receivers and confirmed repetition by the FAST telescope. The source is still active until Jun 2020 from FAST follow-ups. It’s an ideal opportunity to capture comprehensive spectral information using the Parkes UWL. We demonstrate that the beam coverage is feasible and 30-hr observations are required for at least one detection.
DOI: 10.6084/m9.figshare.14174150
title: Suda Seamount

description: This file include dataset of water depth and backscatter of Suda Seamount, as well as near-bottom seabed images
DOI: 10.6084/m9.figshare.14174150.v2
title: Suda Seamount

description: This file include dataset of water depth and backscatter of Suda Seamount, as well as near-bottom seabed images
DOI: 10.6084/m9.figshare.14174150.v1
title: Suda Seamount

description: This file include dataset of water depth and backscatter of Suda Seamount, as well as near-bottom seabed images
DOI: 10.15161/oar.it/73565
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: 10.5281/zenodo.4562488
title: Dublin 2016 Small Area Boundaries

description: This dataset contains the CSO Dublin 2016 Small Area boundaries
DOI: 10.5281/zenodo.4326955
title: Dublin 2016 Small Area Boundaries

description: This dataset contains the CSO Dublin 2016 Small Area boundaries
DOI: 10.5519/qd.2vjf9aco
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (751703 records)
DOI: 10.5281/zenodo.4587186
title: Chemical and Behavioral data for Tetramorium ant species from Cordonnier et al. 2021 Insect Science

description: <strong>This README accompanies data_cordonnier-et-al.xlsx</strong> <strong><em>Associate publication : </em></strong> Discrimination of conspecifics from heterospecifics in a hybrid zone: behavioural and chemical cues in ants <em>Insect Science</em> M. Cordonnier, B. Kaufmann, L. Simon, G. Escarguel, N. Mondy ****************************** CONTENTS ******************************* The data are in 3 sheets and can be readily imported in any statistical package or spreadsheet program. Please, contact me if you need the file formatted in other ways. This file including a description of the variables. *********************************************************************** Variable names and descriptions <strong><em>Colonies </em></strong> Colony type: Identification of the colony (based on mtDNA cytochrome oxidase I sequencing + nuclear DNA clustering) Colony name: Location and ID of the nest Symp: Nest collected in sympatric (S) or allopatric (A) areas between species X, Y: coordinates of the sampling site PI500: percentage of impervious areas in a 500 m buffer around the sampled nest CLC12: Classes in Corine Land Cover 2012 (CLC 2012©, Copernicus). <strong><em>Aggression tests </em></strong> Matrix of the results of aggression tests between all colonies. - 1: no change in direction or speed of movement, no initiation of new behaviour; - 2: non-aggressive touching, usually with the antennae; - 3: avoidance behaviour, such as a change in walking direction or an increase in speed after contact; - 4: temporary aggressive behaviour, such as biting, pulling, mounting, or rearing; - 5: prolonged fighting. <strong><em>Chemical cues </em></strong> List of colonies used for chemical analyses, with name, and quantity (µg per 5 ants) of each chemical compound identified in the samples. The first line indicates the retention time. Bold columns correspond to the main compounds. n.d.: Compounds not detected. ****************************** CONTACTING ***************************** Contact me at: Marion Cordonnier e-mail: marion.cordonnier@hotmail.com ***********************************************************************
DOI: 10.5281/zenodo.4587185
title: Chemical and Behavioral data for Tetramorium ant species from Cordonnier et al. 2021 Insect Science

description: <strong>This README accompanies data_cordonnier-et-al.xlsx</strong> <strong><em>Associate publication : </em></strong> Discrimination of conspecifics from heterospecifics in a hybrid zone: behavioural and chemical cues in ants <em>Insect Science</em> M. Cordonnier, B. Kaufmann, L. Simon, G. Escarguel, N. Mondy ****************************** CONTENTS ******************************* The data are in 3 sheets and can be readily imported in any statistical package or spreadsheet program. Please, contact me if you need the file formatted in other ways. This file including a description of the variables. *********************************************************************** Variable names and descriptions <strong><em>Colonies </em></strong> Colony type: Identification of the colony (based on mtDNA cytochrome oxidase I sequencing + nuclear DNA clustering) Colony name: Location and ID of the nest Symp: Nest collected in sympatric (S) or allopatric (A) areas between species X, Y: coordinates of the sampling site PI500: percentage of impervious areas in a 500 m buffer around the sampled nest CLC12: Classes in Corine Land Cover 2012 (CLC 2012©, Copernicus). <strong><em>Aggression tests </em></strong> Matrix of the results of aggression tests between all colonies. - 1: no change in direction or speed of movement, no initiation of new behaviour; - 2: non-aggressive touching, usually with the antennae; - 3: avoidance behaviour, such as a change in walking direction or an increase in speed after contact; - 4: temporary aggressive behaviour, such as biting, pulling, mounting, or rearing; - 5: prolonged fighting. <strong><em>Chemical cues </em></strong> List of colonies used for chemical analyses, with name, and quantity (µg per 5 ants) of each chemical compound identified in the samples. The first line indicates the retention time. Bold columns correspond to the main compounds. n.d.: Compounds not detected. ****************************** CONTACTING ***************************** Contact me at: Marion Cordonnier e-mail: marion.cordonnier@hotmail.com ***********************************************************************
DOI: 10.6084/m9.figshare.7246985.v17
title: pretrained networks for deep learning applications

description: Pretrained networks for a variety of problems.<br>WBIR networks are named wbir* <br>put them all in a folder called "models" then see create_wbir_models.R for how to load them<br>wbir_random_vgg_3d --- 3dvgg initialized with random weights<br>wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations<br>wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations<br>wbir_brain_age_weights -- weights for brain age<br>wbir_pseudo_vgg_ -- 2d vgg transferred to 3d
DOI: 10.6084/m9.figshare.7246985
title: pretrained networks for deep learning applications

description: Pretrained networks for a variety of problems.<br>WBIR networks are named wbir* <br>put them all in a folder called "models" then see create_wbir_models.R for how to load them<br>wbir_random_vgg_3d --- 3dvgg initialized with random weights<br>wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations<br>wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations<br>wbir_brain_age_weights -- weights for brain age<br>wbir_pseudo_vgg_ -- 2d vgg transferred to 3d<br>qc networks
DOI: 10.6084/m9.figshare.7246985.v18
title: pretrained networks for deep learning applications

description: Pretrained networks for a variety of problems.<br>WBIR networks are named wbir* <br>put them all in a folder called "models" then see create_wbir_models.R for how to load them<br>wbir_random_vgg_3d --- 3dvgg initialized with random weights<br>wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations<br>wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations<br>wbir_brain_age_weights -- weights for brain age<br>wbir_pseudo_vgg_ -- 2d vgg transferred to 3d<br>qc networks
DOI: 10.5281/zenodo.4481565
title: Replication Package for the Paper: Understanding Architecture Erosion: The Practitioners' Perceptive

description: This is the replication package for the paper: "Understanding Architecture Erosion: The Practitioners' Perceptive". It contains the source code for collecting data from Stack Overflow and our dataset of this study. In the meanwhile, we provide a brief description of the files. <strong>1. Count Results & Search Terms.xlsx</strong><br> includes the search results, count results of Table 1, and 28 search terms. <strong>2. Dataset from online developer communities.docx</strong><br> comprises of 80 posts and blogs that discuss architecture erosion (178 pages in MS Word organized by their sources), and their URL links that were collected from several popular online developer communities. <strong>3. Questionnaire of and dataset from surveys.docx</strong><br> includes an example of the customized emails and 10 formal surveys from the participants. <strong>4. Dataset from Interviews.docx</strong><br> comprises of 4 interviewees from the participants. <strong>5. Data Labelling & Encoding.mx20</strong><br> is the results of data labelling and encoding that were analyzed by the MAXQDA tool. We extracted data from the posts, labelled them according to RQs, and encoded the extracted data using Constant Comparison. The file can be opened by MAXQDA 20 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download. <strong>6. SO_Spider.zip</strong><br> includes the code for data collection and filtering from Stack Overflow.
DOI: 10.5281/zenodo.4481564
title: Replication Package for the Paper: Understanding Architecture Erosion: The Practitioners' Perceptive

description: This is the replication package for the paper: "Understanding Architecture Erosion: The Practitioners' Perceptive". It contains the source code for collecting data from Stack Overflow and our dataset of this study. In the meanwhile, we provide a brief description of the files. <strong>1. Count Results & Search Terms.xlsx</strong><br> includes the search results, count results of Table 1, and 28 search terms. <strong>2. Dataset from online developer communities.docx</strong><br> comprises of 80 posts and blogs that discuss architecture erosion (178 pages in MS Word organized by their sources), and their URL links that were collected from several popular online developer communities. <strong>3. Questionnaire of and dataset from surveys.docx</strong><br> includes an example of the customized emails and 10 formal surveys from the participants. <strong>4. Dataset from Interviews.docx</strong><br> comprises of 4 interviewees from the participants. <strong>5. Data Labelling & Encoding.mx20</strong><br> is the results of data labelling and encoding that were analyzed by the MAXQDA tool. We extracted data from the posts, labelled them according to RQs, and encoded the extracted data using Constant Comparison. The file can be opened by MAXQDA 20 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2020, which is available at https://www.maxqda.com/trial for download. <strong>6. SO_Spider.zip</strong><br> includes the code for data collection and filtering from Stack Overflow.
DOI: 10.25919/s84r-d131
title: Parkes observations for project P1076 semester 2020OCTS_01

description: We propose observations with the newly commissioned ultra-wide-band low-frequency receiver (UWL) installed on the Parkes telescope to carry out the first pilot simultaneous search of gas and pulsars in three globular clusters: 47 Tuc, NGC 362 and w Cen. These sources are chosen for their being the most promising targets for potential new detection of intracluster gas by Parkes UWL. Given the lack of gas detection in previous studies, any clear detection of any type of gas would be a discovery. The same data would also be processed for pulsar search, with a reasonable chance of discovery according to our calculation based on stellar encounter rate. The proposed program will be the first simultaneous search of gas and pulsars toward globular clusters and could potentially shed significant lights into their star formation history.
DOI: 10.6084/m9.figshare.14171180
title: BAAE 12 sites.csv

description: Dataset for Basic and Applied Ecology paper<br>
DOI: 10.6084/m9.figshare.14171180.v1
title: BAAE 12 sites.csv

description: Dataset for Basic and Applied Ecology paper<br>
DOI: 10.6084/m9.figshare.14174351
title: Silicon suppresses a ubiquitous mite herbivore and promotes natural enemy attraction by altering plant volatile blends

description: Dataset generated from our project investigating the effects of silicon supplementation on French bean direct and indirect defences against the key economic pest, <i>Tetranychus uticae</i>.
DOI: 10.6084/m9.figshare.14174351.v2
title: Silicon suppresses a ubiquitous mite herbivore and promotes natural enemy attraction by altering plant volatile blends

description: Dataset generated from our project investigating the effects of silicon supplementation on French bean direct and indirect defences against the key economic pest, <i>Tetranychus uticae</i>.
DOI: 10.6084/m9.figshare.14174351.v1
title: Silicon suppresses a ubiquitous mite herbivore and promotes natural enemy attraction by altering plant volatile blends

description: Dataset generated from our project investigating the effects of silicon supplementation on French bean direct and indirect defences against the key economic pest, <i>Tetranychus uticae</i>.
DOI: 10.25934/00004970.0
title: Available IPD datapackage for study 'Comparative Efficacy of Duloxetine vs Escitalopram in Patients With Fibromyalgia'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25646/8118
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.21227/pda3-zy88
title: Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications

description: Datasets as described in the research paper "Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications".There are two main dataset provided here, firstly is the data relating to the initial training of the machine learning module for both normal and malicious traffic, these are in binary visulisation format, compresed into the document traffic-dataset.zip.The remainin data is provided by this repository in attackScenario.zip and attackSenarioImages.zip, thee are the images generated from each of the five attack scenario packet captures, as well as their associated PCAP files.
DOI: 10.6084/m9.figshare.14174435
title: Database

description: <pre>Research database entitled: Perceptions about the work of community health workers in Santa Cruz do Sul</pre>
DOI: 10.6084/m9.figshare.14174435.v1
title: Database

description: <pre>Research database entitled: Perceptions about the work of community health workers in Santa Cruz do Sul</pre>
DOI: 10.5519/qd.60ltn8jg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (63 records)
DOI: 10.5281/zenodo.4587233
title: Data for: Gorter et al.,2021. Experimental evolution of interference competition. Frontiers in microbiology.

description: The importance of interference competition, where individuals compete through antagonistic traits such as the production of toxins, has long been recognized by ecologists, yet understanding how these types of interactions evolve remains limited. Toxin production is thought to be beneficial when competing with a competitor. Here, we explore if antagonism can evolve by long-term selection of the toxin (pyocin) producing strain <em>Pseudomonas aeruginosa </em>PAO1 in the presence (or absence) of one of three clinical isolates of the same species (<em>Recipient</em>) over ten serial transfers. We find that inhibition decreases in the absence of a recipient<em>. </em>In the presence of a recipient<em>, </em>antagonism evolved to be different depending on the recipient used. Our study shows that the evolution of interference competition by toxins can decrease or increase, experimentally demonstrating the importance of this type of interaction for the evolution of species interactions. These files contain the data and scripts used for statistical analyses.