cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7268387.v2
title: R datasets to replicate 'Global Learning, Local Flow' 2018 preprint analyses

description: For the preprint https://psyarxiv.com/8ryue/<br>---------------------------------------------------------Data-frame 'p-value_adjustment' has p-values from all analyses included in paper (named by test), plus their adjusted values after Bonferroni-Holm.<br>Data-frame 'flow_LC_sEBR1-9' has participant-wise values for mean Flow, learning curve slope, spontaneous blink rate, to replicate analyses for RQ3.<br>
DOI: 10.17632/zbyctscmbn.1
title: Data for "Comprehensive mapping of local and diaspora scientists for evaluation, planning and policy purposes: a database and analysis of 63951 Greek scientists"

description: Research policy and planning for a given country may benefit from reliable data on both its scientific workforce as well as the diaspora of scientists for countries with substantial brain drain. Here we use a systematic approach using Scopus to generate a comprehensive country-level database of all scientists in Greece. Moreover, we expand that database to include also Greek diaspora scientists. The database that we have compiled includes 63951 scientists who have published at least 5 papers indexed in Scopus. Of those, 35116 have an affiliation in Greece. We validate the sensitivity and specificity of the database against different control sets of scientists. We also analyze the scientific disciplines of these scientists according to the Science Metrix classification (174 subfield disciplines) and provide detailed data on each of the 63951 scientists using multiple citation indicators and a composite thereof. These analyses demonstrate differential concentrations in specific subfields for the local versus the diaspora cohorts, as well as an advantage of the diaspora cohort in terms of citation indicators especially among top-impact researchers. The approach that we have taken can be applied to map also the scientific workforce of other countries and nations for evaluation, planning and policy purposes.
DOI: 10.5519/qd.opt6mn66
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4700479 records)
DOI: 10.17632/dz283xnfp3.2
title: AA Tofacitinib Supplementary Table 1

description: Alopecia areata recurrence patterns in children and young adults while on systemic tofacitinib therapy
DOI: 10.17632/gdj2tnyz42.1
title: Supplementary Figure 1

description: Alopecia Areata. Alternative view of patient no. 3 after 4, 7, and 12 months of dupilumab therapy.
DOI: 10.17632/wswm2nv4dx.3
title: Patient Characteristics Summary_Supplementary Table 1

description: This table provides a summary of the characteristics of 16 pediatric patients with alopecia areata and concomitant atopic dermatitis who have been prescribed dupilumab.
DOI: 10.17632/mrg4443z7m.1
title: Junhong Guan et.al Cancer Cell 2020 Source Data

description: original data for "MLH1 Deficiency-Triggered DNA Hyper-Excision by Exonuclease 1 Activates the cGAS-STING Pathway"
DOI: 10.5281/zenodo.4436043
title: Constrained Application Protocol (CoAP) Internet of Things Protocol Dataset

description: <strong>Implementation of Constrained Application Protocol on IoT using Constrained RESTful Environments Constrained Device.</strong><br> <em>status : on repository</em> This study discusses the implementation of the Constrained Application Protocol (CoAP) using Constrained RESTful Environments (CoRE) on RFC 7252 which is used as a research parameter. The implementation of this Limited Application Protocol uses Internet of Things (IoT) technology. The testing technique is carried out offline and the device used is based on the constrained device. Network performance testing parameters in this study are UDP throughput, UDP delay, UDP packet loss and UDP packet delivery ratio. Testing network performance with LED and Buzzer output produces the largest average UDP throughput, namely 4.5737 Kbps while the smallest average throughput is 1.2293 Kbps, the largest average UDP delay result is 2 seconds and the smallest average is 0.6 seconds, then the average UDP packet loss yield is 0% while the average successful packet delivery ratio is 100%. From the results of this test, the Constrained Application Protocol (CoAP) has smaller network performance results than the HyperText Transfer Protocol (HTTP) to be implemented in Internet of Things (IoT) technology.
DOI: 10.5281/zenodo.4436042
title: Constrained Application Protocol (CoAP) Internet of Things Protocol Dataset

description: <strong>Implementation of Constrained Application Protocol on IoT using Constrained RESTful Environments Constrained Device.</strong><br> <em>status : on repository</em> This study discusses the implementation of the Constrained Application Protocol (CoAP) using Constrained RESTful Environments (CoRE) on RFC 7252 which is used as a research parameter. The implementation of this Limited Application Protocol uses Internet of Things (IoT) technology. The testing technique is carried out offline and the device used is based on the constrained device. Network performance testing parameters in this study are UDP throughput, UDP delay, UDP packet loss and UDP packet delivery ratio. Testing network performance with LED and Buzzer output produces the largest average UDP throughput, namely 4.5737 Kbps while the smallest average throughput is 1.2293 Kbps, the largest average UDP delay result is 2 seconds and the smallest average is 0.6 seconds, then the average UDP packet loss yield is 0% while the average successful packet delivery ratio is 100%. From the results of this test, the Constrained Application Protocol (CoAP) has smaller network performance results than the HyperText Transfer Protocol (HTTP) to be implemented in Internet of Things (IoT) technology.
DOI: 10.5281/zenodo.4266325
title: Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation

description: I provide the stata files that allow to reproduce the results presented in the paper <br> "Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation" by Antoine Leblois. The replication folder contains two files:<br> 1- *.dta file: database<br> 2- *.do file: do-file containing the codes to replicate the results Stata 14 was used for this work.
DOI: 10.5281/zenodo.4266324
title: Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation

description: I provide the stata files that allow to reproduce the results presented in the paper <br> "Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation" by Antoine Leblois. The replication folder contains two files:<br> 1- *.dta file: database<br> 2- *.do file: do-file containing the codes to replicate the results Stata 14 was used for this work.
DOI: 10.21227/r0hr-1183
title: WIDAR3.0: WiFi-based Activity Recognition Dataset

description: To stimulate the development of wireless sensing, we produce this wifi-based activity recognition dataset to the community. This dataset includes the Channel State Information (CSI) collected from commodity Wi-Fi devices for gestures and Body-coordinate Velocity Profile (BVP) calculated by the algorithms descried in the Widar3.0 paper. The hand gesture dataset consists of 258K instances of data samples with a duration of 8,620 minutes and from 75 domains. Also included in this repository is the gait recognition dataset related to the GaitID paper. The gait recognition dataset consists of 22K instances of data samples from 11 participates. Please stay tuned for further updates.References:Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang, "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019. DOI:https://doi.org/10.1145/3307334.3326081Yi Zhang, Yue Zheng, Guidong Zhang, Kun Qian, Chen Qian, Zheng Yang, "GaitID: Robust Wi-Fi Based Gait Recognition", Springer WASA, 2020. DOI:https://doi.org/10.1007/978-3-030-59016-1_60
DOI: 10.21227/sexx-f856
title: WIDAR3.0: WiFi-based Activity Recognition Dataset

description: To stimulate the development of wireless sensing, we produce this wifi-based activity recognition dataset to the community. This dataset includes the Channel State Information (CSI) collected from commodity Wi-Fi devices for gestures and Body-coordinate Velocity Profile (BVP) calculated by the algorithms descried in the Widar3.0 paper. The hand gesture dataset consists of 258K instances of data samples with a duration of 8,620 minutes and from 75 domains. Also included in this repository is the gait recognition dataset related to the GaitID paper. The gait recognition dataset consists of 22K instances of data samples from 11 participates. Please stay tuned for further updates.References:Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang, "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019. DOI:https://doi.org/10.1145/3307334.3326081Yi Zhang, Yue Zheng, Guidong Zhang, Kun Qian, Chen Qian, Zheng Yang, "GaitID: Robust Wi-Fi Based Gait Recognition", Springer WASA, 2020. DOI:https://doi.org/10.1007/978-3-030-59016-1_60
DOI: 10.21227/2cwy-fe11
title: WIDAR3.0: WiFi-based Activity Recognition Dataset

description: To stimulate the development of wireless sensing, we produce this wifi-based activity recognition dataset to the community. This dataset includes the Channel State Information (CSI) collected from commodity Wi-Fi devices for gestures and Body-coordinate Velocity Profile (BVP) calculated by the algorithms descried in the Widar3.0 paper. The hand gesture dataset consists of 258K instances of data samples with a duration of 8,620 minutes and from 75 domains. Also included in this repository is the gait recognition dataset related to the GaitID paper. The gait recognition dataset consists of 22K instances of data samples from 11 participates. Please stay tuned for further updates.References:Yue Zheng, Yi Zhang, Kun Qian, Guidong Zhang, Yunhao Liu, Chenshu Wu, Zheng Yang, "Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi", ACM MobiSys, 2019. DOI:https://doi.org/10.1145/3307334.3326081Yi Zhang, Yue Zheng, Guidong Zhang, Kun Qian, Chen Qian, Zheng Yang, "GaitID: Robust Wi-Fi Based Gait Recognition", Springer WASA, 2020. DOI:https://doi.org/10.1007/978-3-030-59016-1_60
DOI: 10.5281/zenodo.4436163
title: Manually annotated video frames of bumblebees in flying arena

description: Bounding boxes of Blue flowers Yellow flowers Bumblebees Bumblebees on flowers Annotated using CVAT.
DOI: 10.5281/zenodo.4436162
title: Manually annotated video frames of bumblebees in flying arena

description: Bounding boxes of Blue flowers Yellow flowers Bumblebees Bumblebees on flowers Annotated using CVAT.
DOI: 10.6084/m9.figshare.13515419.v1
title: Summary of litter data produced in fertility trials

description: Raw data compiled from mating experiments conducted using wildtype (WT), heterozygous KO, and homozygous KO for each candidate gene, where accessible. From these data, broad comparisons of mean litter size between each genotype were subsequently statistically evaluated using Student’s or Welch’s t-tests, depending on the level of variance within each genotype group.<br>
DOI: 10.6084/m9.figshare.13567322
title: Simulated data for: Evolutionary and demographic consequences of temperature-induced masculinization under climate warming: the effects of mate choice

description: Data saved from six computer simulations of populations with temperature-induced sex reversal, where females may prefer sex-reversed or concordant males. Initial sex-determination system was either XX/XY or ZW/ZZ. A detailed description on the content of the csv files is provided in the csv_info.pdf file.<br>
DOI: 10.6084/m9.figshare.13567322.v1
title: Simulated data for: Evolutionary and demographic consequences of temperature-induced masculinization under climate warming: the effects of mate choice

description: Data saved from six computer simulations of populations with temperature-induced sex reversal, where females may prefer sex-reversed or concordant males. Initial sex-determination system was either XX/XY or ZW/ZZ. A detailed description on the content of the csv files is provided in the csv_info.pdf file.<br>
DOI: 10.5281/zenodo.4436172
title: Message Queue Telemetry Transport (MQTT) Protocol on Internet of Thing Dataset

description: <strong>Performance Analysis of Message Queue Telemetry Transport (MQTT) Protocol on Internet of Thing (IoT) </strong><br> <em>status : on review</em> Internet of Things (IoT) is a system where devices are connected and allows information exchange among them. It also allows devices/objects to interact directly with other objects or commonly refers to Machine-to-Machine (M2M) communication. Message Queue Telemetry Transport (MQTT) is machine-to-machine connectivity protocol, which is designed as messages delivery service that gives different level of Quality of Service (QoS) i.e.: level 0, 1 and 2 for variety of use cases, provides architecture of publish/subscribe and supports multicasting message. The importance feature of MQTT is low overhead for efficient communication between devices. This work implements MQTT using Mosquito Broker, which has a function to regulate the delivery of messages between Publisher and Subscriber using poll system call to handle multiple network socket in one thread. With a scenario of increasing number of nodes at each experiment, MQTT Protocol has an average overall delay of 0.0029 seconds, an average throughput of 218 Kbps, average of packet loss of 0.2% and average of packet delivery ratio of 99.7%. Of experiment results obtained, the MQTT Protocol has potential to be able to meet the needs of the use of a limited bandwidth network, which can be adjusted with the level of service provided by the MQTT and low packet loss rate.
DOI: 10.5281/zenodo.4436171
title: Message Queue Telemetry Transport (MQTT) Protocol on Internet of Thing Dataset

description: <strong>Performance Analysis of Message Queue Telemetry Transport (MQTT) Protocol on Internet of Thing (IoT) </strong><br> <em>status : on review</em> Internet of Things (IoT) is a system where devices are connected and allows information exchange among them. It also allows devices/objects to interact directly with other objects or commonly refers to Machine-to-Machine (M2M) communication. Message Queue Telemetry Transport (MQTT) is machine-to-machine connectivity protocol, which is designed as messages delivery service that gives different level of Quality of Service (QoS) i.e.: level 0, 1 and 2 for variety of use cases, provides architecture of publish/subscribe and supports multicasting message. The importance feature of MQTT is low overhead for efficient communication between devices. This work implements MQTT using Mosquito Broker, which has a function to regulate the delivery of messages between Publisher and Subscriber using poll system call to handle multiple network socket in one thread. With a scenario of increasing number of nodes at each experiment, MQTT Protocol has an average overall delay of 0.0029 seconds, an average throughput of 218 Kbps, average of packet loss of 0.2% and average of packet delivery ratio of 99.7%. Of experiment results obtained, the MQTT Protocol has potential to be able to meet the needs of the use of a limited bandwidth network, which can be adjusted with the level of service provided by the MQTT and low packet loss rate.
DOI: 10.6084/m9.figshare.13567433
title: RNA-bw2

description: a simple work on RNA-seq
DOI: 10.6084/m9.figshare.13567433.v1
title: RNA-bw2

description: a simple work on RNA-seq
DOI: 10.5281/zenodo.4436170
title: SLC12A4/SLC12A6; A Target Enabling Package

description: KCC1 (SLC12A4) and KCC3 (SLC12A6) are co-transporters of potassium and chloride, and members of cation-chloride co-transporter (CCC; or Solute Carrier 12) family. They regulate chloride level and cell volume via export of potassium and chloride ions. KCC1 plays an important role in sickle cell diseases, where its activity leads to sickling of red blood cells, a key pathological feature of the disease. Hence, symptoms of this common genetic disorder can be significantly reduced by inactivation of KCC1. KCC3 is highly expressed in neurones, where its inherited defect can lead to a rare form of peripheral neuropathy, Andermann Syndrome. This TEP presents the structures of KCC1 and KCC3 in both wild-type and inactivated states, revealing structural mechanisms for their regulation. From these structures, we have identified ligands ATP and magnesium ion, and have subsequently used biophysical assay and mass spectrometry to characterise them. These can be exploited to develop small molecule modulators to treat sickle cell diseases, one of the most common genetic disorders with unmet needs, as well as neurological disorders.
description: Future versions of this TEP will contain experimental data on the SLC12A4/SLC12A6 TEP.
DOI: 10.6084/m9.figshare.12014514.v2
title: Tell Iztabba (Beth Shean) magnetic data

description: This data was collected during the 2019 campaign of the German-Israeli Tell Iztabba Project (Universities of Münster and Tel Aviv)<br>Data is provided for UTM WGS 84 Zone 36N (EPSG: 32636) and Israeli Grid (EPSG: 2039)<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><br>Geophysical prospections were undertaken by Eastern Atlas, Berlin
DOI: 10.6084/m9.figshare.12014514
title: Tell Iztabba (Beth Shean) magnetic data

description: This data was collected during the 2019 campaign of the German-Israeli Tell Iztabba Project (Universities of Münster and Tel Aviv)<br>Data is provided for UTM WGS 84 Zone 36N (EPSG: 32636) and Israeli Grid (EPSG: 2039)<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><br>Geophysical prospections were undertaken by Eastern Atlas, Berlin
DOI: 10.5281/zenodo.4436192
title: SLC12A4/SLC12A6; A Target Enabling Package

description: KCC1 (SLC12A4) and KCC3 (SLC12A6) are co-transporters of potassium and chloride, and members of cation-chloride co-transporter (CCC; or Solute Carrier 12) family. They regulate chloride level and cell volume via export of potassium and chloride ions. KCC1 plays an important role in sickle cell diseases, where its activity leads to sickling of red blood cells, a key pathological feature of the disease. Hence, symptoms of this common genetic disorder can be significantly reduced by inactivation of KCC1. KCC3 is highly expressed in neurones, where its inherited defect can lead to a rare form of peripheral neuropathy, Andermann Syndrome. This TEP presents the structures of KCC1 and KCC3 in both wild-type and inactivated states, revealing structural mechanisms for their regulation. From these structures, we have identified ligands ATP and magnesium ion, and have subsequently used biophysical assay and mass spectrometry to characterise them. These can be exploited to develop small molecule modulators to treat sickle cell diseases, one of the most common genetic disorders with unmet needs, as well as neurological disorders.
description: This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.5281/zenodo.4436169
title: SLC12A4/SLC12A6; A Target Enabling Package

description: KCC1 (SLC12A4) and KCC3 (SLC12A6) are co-transporters of potassium and chloride, and members of cation-chloride co-transporter (CCC; or Solute Carrier 12) family. They regulate chloride level and cell volume via export of potassium and chloride ions. KCC1 plays an important role in sickle cell diseases, where its activity leads to sickling of red blood cells, a key pathological feature of the disease. Hence, symptoms of this common genetic disorder can be significantly reduced by inactivation of KCC1. KCC3 is highly expressed in neurones, where its inherited defect can lead to a rare form of peripheral neuropathy, Andermann Syndrome. This TEP presents the structures of KCC1 and KCC3 in both wild-type and inactivated states, revealing structural mechanisms for their regulation. From these structures, we have identified ligands ATP and magnesium ion, and have subsequently used biophysical assay and mass spectrometry to characterise them. These can be exploited to develop small molecule modulators to treat sickle cell diseases, one of the most common genetic disorders with unmet needs, as well as neurological disorders.
description: This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.24414/j0dx-9n36
title: The Gravity Database for Belgium

description: This dataset contains Belgian relative gravity measurements.
DOI: 10.5281/zenodo.4436127
title: UDP Flood Attack Pattern on Internet of Things Network Dataset

description: <strong>Investigating UDP Flood Attack Pattern on Internet of Things Network</strong> <em>status: on review</em> Abstract: UDP does not have mechanism for retransmission when a transmitting error happens, it makes this protocol to be used as a DDoS attack tool against Internet of Things (IoTs) networks. This research work attempts to analyze the UDP Flood attacks packets dataset captured from an Io|T testbed network by Wireshark. A feature extraction process on generated CSV file was performed and then the feature extraction result are examined to find patterns of UDP flood attack packet. Lastly, the patterns are visualized to provide easy pattern recognition.
DOI: 10.5281/zenodo.4436126
title: UDP Flood Attack Pattern on Internet of Things Network Dataset

description: <strong>Investigating UDP Flood Attack Pattern on Internet of Things Network</strong> <em>status: on review</em> Abstract: UDP does not have mechanism for retransmission when a transmitting error happens, it makes this protocol to be used as a DDoS attack tool against Internet of Things (IoTs) networks. This research work attempts to analyze the UDP Flood attacks packets dataset captured from an Io|T testbed network by Wireshark. A feature extraction process on generated CSV file was performed and then the feature extraction result are examined to find patterns of UDP flood attack packet. Lastly, the patterns are visualized to provide easy pattern recognition.
DOI: 10.5517/ccdc.csd.cc25572p
title: CCDC 2001021: Experimental Crystal Structure Determination

description: Related Article: R. V. Linko, M. A. Ryabov, P. V. Strashnov, N. A. Polyanskaya, V. V. Davydov, P. V. Dorovatovskii, V. N. Khrustalev|2020|Zh.Obshch.Khim.|90|1869|doi:10.1134/S1070363220100096
DOI: 10.5517/ccdc.csd.cc25fb98
title: CCDC 2008809: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710
DOI: 10.5517/ccdc.csd.cc25fbb9
title: CCDC 2008810: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710
DOI: 10.5517/ccdc.csd.cc25fbcb
title: CCDC 2008811: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710
DOI: 10.5517/ccdc.csd.cc25fbdc
title: CCDC 2008812: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710
DOI: 10.5517/ccdc.csd.cc25fbfd
title: CCDC 2008813: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710