cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14837844
title: CmaxVideoAnalysis_2018_continuous_MW.xlsx

description: Towed cameras were programmed to record video data at 1080p resolution at 50 frames per second until either the memory or power were exhausted. Video recording was continuous in 2018, but a duty cycle of 30 seconds of recording every 5 minutes was used in 2019 to extend the recording duration. The 2018 continuous video data were therefore sub-sampled to 30-second video sequences every 5 minutes to match the duty cycling used in 2019. We also compared habitat use and behaviours revealed using the duty-cycled video with the continuous video data (collected in 2018), to understand what may have been missed in the duty-cycled data.<br>All video data were observed in VLC Media Player (Version 3.0.8). Initial assessment of all data was undertaken by viewing each 30-second video file at twice the native speed to ascertain information on the following: (i) ambient lighting conditions (more than 50% of video data gathered in dark conditions, termed ‘blackout’, separated into day and night) and (ii) seabed presence and habitat type (whether seabed was visible in more than 50% of data and dominant habitat type). Seabed habitats were classified following the European Nature Information System (EUNIS; https://eunis.eea.europa.eu) habitat classification system, and also included surface and mid-water swimming where neither the seabed nor surface were visible. The frequency and extent of other behaviours, including feeding behaviour (when the shark’s mouths was open for more than 50% of the video duration, i.e. &gt;15 seconds), presence of conspecifics and other species were recorded, and species were identified to the finest possible taxonomic level. Where necessary, video data were watched at native or slowed to half speed to ascertain behaviour changes or other events.<br><br>To investigate the initial responses of basking sharks to tagging, Tail Beat Frequency (TBF) was calculated as the number of lateral undulatory movements visible in the video data. Using data collected in 2018, where video recording was continuous, TBF was estimated every minute (using 30 second of data), and every five minutes for the 2019 duty cycled data for the first 30 minutes following tagging. TBF was also estimated for each 30-second video sequence of surface feeding behaviour
DOI: 10.6084/m9.figshare.14837844.v1
title: CmaxVideoAnalysis_2018_continuous_MW.xlsx

description: Towed cameras were programmed to record video data at 1080p resolution at 50 frames per second until either the memory or power were exhausted. Video recording was continuous in 2018, but a duty cycle of 30 seconds of recording every 5 minutes was used in 2019 to extend the recording duration. The 2018 continuous video data were therefore sub-sampled to 30-second video sequences every 5 minutes to match the duty cycling used in 2019. We also compared habitat use and behaviours revealed using the duty-cycled video with the continuous video data (collected in 2018), to understand what may have been missed in the duty-cycled data.<br>All video data were observed in VLC Media Player (Version 3.0.8). Initial assessment of all data was undertaken by viewing each 30-second video file at twice the native speed to ascertain information on the following: (i) ambient lighting conditions (more than 50% of video data gathered in dark conditions, termed ‘blackout’, separated into day and night) and (ii) seabed presence and habitat type (whether seabed was visible in more than 50% of data and dominant habitat type). Seabed habitats were classified following the European Nature Information System (EUNIS; https://eunis.eea.europa.eu) habitat classification system, and also included surface and mid-water swimming where neither the seabed nor surface were visible. The frequency and extent of other behaviours, including feeding behaviour (when the shark’s mouths was open for more than 50% of the video duration, i.e. &gt;15 seconds), presence of conspecifics and other species were recorded, and species were identified to the finest possible taxonomic level. Where necessary, video data were watched at native or slowed to half speed to ascertain behaviour changes or other events.<br><br>To investigate the initial responses of basking sharks to tagging, Tail Beat Frequency (TBF) was calculated as the number of lateral undulatory movements visible in the video data. Using data collected in 2018, where video recording was continuous, TBF was estimated every minute (using 30 second of data), and every five minutes for the 2019 duty cycled data for the first 30 minutes following tagging. TBF was also estimated for each 30-second video sequence of surface feeding behaviour
DOI: 10.5255/ukda-sn-854332
title: Education in Emergencies: Evidence for Action: Niger Year 2, 2017-2019

description: Children in crisis-affected countries (CACs) experience profound constraints on their academic learning and socioemotional well-being. The 3EA initiative (Education in Emergencies: Evidence for Action) leveraged research-practice partnership between Global TIES for Children at New York University (NYU-TIES) and International Rescue Committee (IRC) and aimed to build both scientific and practical knowledge about how to lift these constraints on children in three CACs: Lebanon, Niger, and Sierra Leone. The present dataset is part of the 3EA initiative and contains data from a large cluster-randomized controlled trial (CRCT) conducted in 2017-2018 school year, evaluating the impacts of a social-emotional learning program (Brain Games) embedded within an after-school remedial education programming on students’ academic and social-emotional outcomes. This dataset includes the data collected from Nigerien local and Nigerian refugee children attending the 28 public schools located in Diffa region, Niger.
DOI: 10.6084/m9.figshare.14899002
title: BET of Navicula australoshetlandica sp .XLS

description: The pore size and specific area
DOI: 10.6084/m9.figshare.14898774.v1
title: The Screening Test for Aphasia and Dysarthria (STAD) for patients with neurological communicative disorders: a large-scale, multicenter validation study in Japan

description: STAD was specifically designed for Speech-Language Pathologist’s (SLP’s) clinical practice and can be useful in specific contexts, such as in early bedside investigations, obtaining a quick summary of communicative function prior to the administration of other tests, and in cases where more in-depth testing is not feasible.
DOI: 10.6084/m9.figshare.14898774.v2
title: The Screening Test for Aphasia and Dysarthria (STAD): dataset consecutively selected from 20 medical centers in Japan

description: STAD was specifically designed for Speech-Language Pathologist’s (SLP’s) clinical practice and can be useful in specific contexts, such as in early bedside investigations, obtaining a quick summary of communicative function prior to the administration of other tests, and in cases where more in-depth testing is not feasible.
DOI: 10.25345/c5cc13
title: MassIVE MSV000087744 - GNPS Salinispora Arenicola Culture Solide 14 jours Acetate
title: Culture de Salinispora arenicola sur milieu solide A1 pendant 14 jours avec une extraction a l'Acetate d'ethyle
DOI: 10.5281/zenodo.5006332
title: Areas of global importance for conserving terrestrial biodiversity, carbon, and water

description: <strong>Content:</strong><br> This data repository contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water. <strong>Usage notes:</strong><br> Maps are supplied at both 10km and 50km resolution unless specified differently in the manuscript.<br> All maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets.<br> The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting.<br> For example:<br> To obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers. For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell.<br> These are labelled " globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps. <strong>Spatial resolution:</strong> 10 and 50 km <strong>Geographic projection:</strong><br> World Mollweide Equal Area projection<br> PROJ4 ( +proj=moll +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs ) <strong>Filename suffix description:</strong> <em>'minshort_speciestargets'</em><br> =- Problem formulation where targets were achieved by minimzing a shortfall <em>'repruns10'</em><br> =- The number of representative that were used to create the ranked layer <em>'biome.id'</em><br> =- Species distribution were split by biome, thus creating separate targets for subpopulation <em>'withPA'</em><br> =- Fractions of current protected areas (Date: WDPA 2019) were locked in as baseline and starting budget. Approximately 15% of the globe. Note that not entire grid cells, but fractions were locked in and build opon! <em>'carbon'</em><br> =- Carbon was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript) <em>'water'</em><br> =- Water was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript) <strong>License:</strong><br> CC-BY-SA 4.0 <strong>Citation:</strong><br> Jung, Martin, Andy Arnell, Xavier De Lamo, Shaenandhoa Garcia-Rangel, Matthew Lewis, Jennifer Mark, Cory Merow et al. (2021) "Areas of global importance for terrestrial biodiversity, carbon, and water." Nature Ecology & Evolution
DOI: 10.5281/zenodo.5006331
title: Areas of global importance for conserving terrestrial biodiversity, carbon, and water

description: <strong>Content:</strong><br> This data repository contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water. <strong>Usage notes:</strong><br> Maps are supplied at both 10km and 50km resolution unless specified differently in the manuscript.<br> All maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets.<br> The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting.<br> For example:<br> To obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers. For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell.<br> These are labelled " globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps. <strong>Spatial resolution:</strong> 10 and 50 km <strong>Geographic projection:</strong><br> World Mollweide Equal Area projection<br> PROJ4 ( +proj=moll +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs ) <strong>Filename suffix description:</strong> <em>'minshort_speciestargets'</em><br> =- Problem formulation where targets were achieved by minimzing a shortfall <em>'repruns10'</em><br> =- The number of representative that were used to create the ranked layer <em>'biome.id'</em><br> =- Species distribution were split by biome, thus creating separate targets for subpopulation <em>'withPA'</em><br> =- Fractions of current protected areas (Date: WDPA 2019) were locked in as baseline and starting budget. Approximately 15% of the globe. Note that not entire grid cells, but fractions were locked in and build opon! <em>'carbon'</em><br> =- Carbon was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript) <em>'water'</em><br> =- Water was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript) <strong>License:</strong><br> CC-BY-SA 4.0 <strong>Citation:</strong><br> Jung, Martin, Andy Arnell, Xavier De Lamo, Shaenandhoa Garcia-Rangel, Matthew Lewis, Jennifer Mark, Cory Merow et al. (2021) "Areas of global importance for terrestrial biodiversity, carbon, and water." Nature Ecology & Evolution
DOI: 10.5281/zenodo.5058619
title: Daily precipitation and temperature for 2021–2050 over China: multiple RCMs and emission scenarios corrected by a trend-preserving method

description: The datasets with spatial resolution of 0.5˚×0.5˚ were corrected from CORDEX-EA regional climate models based on a trend–preserving bias correction method, including daily daily maximum and minimum temperature, and precipitation (Tmax, Tmin and Pre). The datasets cover the main land area of China and two periods, the historical period (from 1980 to 2005 ) and future period (from 2021 to 2050). The observations used in the correction were obtained from China Meteorological Administration (http://cdc.cma.gov.cn), and were derived from 2472 weather stations over China. The evaluation indicated that the corrected datasets are reliable for the investigations related to climate change across China.
DOI: 10.5519/qd.206rx3he
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5519/qd.b0lzdmyf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.5281/zenodo.5059918
title: Scripts and Dataset of "On the Adoption of a TODO Bot on GITHUB: A Preliminary Study"

description: This package contains the scripts and dataset of the paper "On the Adoption of a TODO Bot on GITHUB: A Preliminary Study"
DOI: 10.5281/zenodo.5059917
title: Scripts and Dataset of "On the Adoption of a TODO Bot on GITHUB: A Preliminary Study"

description: This package contains the scripts and dataset of the paper "On the Adoption of a TODO Bot on GITHUB: A Preliminary Study"
DOI: 10.5281/zenodo.5055046
title: An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021

description: The dataset is part of a new open EEG database designed to answer a need for more publicly available EEG-based dataset to design and benchmark passive brain-computer interface pipelines (as detailed in [Hinss2021]). This database is currently being created and will be fully released before the end of the year. It will include data acquired over 30 participant, 4 tasks and 3 sessions. For this competition, hosted by the Neuroergonomics Conference 2021, only one task and half the participants will be analyzed. Hence, this competition focuses on a renowned task that elicits various levels of mental/cognitive workload: the Multi-Atribute Task Battery-II (MATB-II) developed by NASA (https://matb.larc.nasa.gov/). It is composed of 4 sub-tasks: system monitoring, tracking, resource management and communications. By varying the number and complexity of the sub-tasks, 3 levels of workload were elicited (verified through statistical analyzes of both subjective and objective -behavioral and cardiac- data). Each difficulty level was performed by 15 subjects (6 female; 9 average 25 y.o.) during 5 minutes per session, in a pseudo-randomized order. Each session was separated by 7 days. We used a 62 actiChamp EEG channels device (BrainProducts; electrode placement 10-20 system). <strong>For the competition, your goal is to predict the mental workload for a given subject (intra-subject estimation) using the EEG data from another session (inter-session adaptation). More information on the conference website and in the documentation file.</strong>
description: The project was validated by the local ethical committee of the University of Toulouse (CER number 2021-342).
DOI: 10.5281/zenodo.4917217
title: An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021

description: The dataset is part of a new open EEG database designed to answer a need for more publicly available EEG-based dataset to design and benchmark passive brain-computer interface pipelines (as detailed in [Hinss2021]). This database is currently being created and will be fully released before the end of the year. It will include data acquired over 30 participant, 4 tasks and 3 sessions. For this competition, hosted by the Neuroergonomics Conference 2021, only one task and half the participants will be analyzed. Hence, this competition focuses on a renowned task that elicits various levels of mental/cognitive workload: the Multi-Atribute Task Battery-II (MATB-II) developed by NASA (https://matb.larc.nasa.gov/). It is composed of 4 sub-tasks: system monitoring, tracking, resource management and communications. By varying the number and complexity of the sub-tasks, 3 levels of workload were elicited (verified through statistical analyzes of both subjective and objective -behavioral and cardiac- data). Each difficulty level was performed by 15 subjects (6 female; 9 average 25 y.o.) during 5 minutes per session, in a pseudo-randomized order. Each session was separated by 7 days. We used a 62 actiChamp EEG channels device (BrainProducts; electrode placement 10-20 system). <strong>For the competition, your goal is to predict the mental workload for a given subject (intra-subject estimation) using the EEG data from another session (inter-session adaptation). More information on the conference website and in the documentation file.</strong>
description: The project was validated by the local ethical committee of the University of Toulouse (CER number 2021-342).
DOI: 10.6084/m9.figshare.14899038
title: Match between individual and group behavior matters in shoaling sticklebacks

description: 1. growth and sociability data2. survival data3. feeding behavior data4. metabolic rate and Ucrit data
DOI: 10.6084/m9.figshare.14899038.v2
title: Match between individual and group behavior matters in shoaling sticklebacks

description: 1. growth and sociability data2. survival data3. feeding behavior data4. metabolic rate and Ucrit data
DOI: 10.6084/m9.figshare.14899038.v1
title: Match between individual and group behavior matters in shoaling sticklebacks

description: 1. growth and sociability data2. survival data3. feeding behavior data4. metabolic rate and Ucrit data
DOI: 10.6084/m9.figshare.14899062.v1
title: The mitochondrial genome of Nemalecium lighti (Hydrozoa, Leptothecata)-Mitogenome+annotation

description: The mitochondrial genome of Nemalecium lighti (Hydrozoa, Leptothecata)-Mitogenome+annotation
DOI: 10.6084/m9.figshare.14899062
title: The mitochondrial genome of Nemalecium lighti (Hydrozoa, Leptothecata)-Mitogenome+annotation

description: The mitochondrial genome of Nemalecium lighti (Hydrozoa, Leptothecata)-Mitogenome+annotation
DOI: 10.6084/m9.figshare.14899092
title: all data in article Study on the Hemostasis Characteristics of Biomaterial

description: The origin data in the article Study on the Hemostasis Characteristics of Biomaterial
DOI: 10.6084/m9.figshare.14899092.v1
title: all data in article Study on the Hemostasis Characteristics of Biomaterial

description: The origin data in the article Study on the Hemostasis Characteristics of Biomaterial
DOI: 10.5517/ccdc.csd.cc26wrgb
title: CCDC 2052462: Experimental Crystal Structure Determination

description: Related Article: Nilüfer Bayrak, Halil I. Ciftci, Mahmut Yıldız, Hatice Yıldırım, Belgin Sever, Hiroshi Tateishi, Masami Otsuka, Mikako Fujita, Amaç Fatih Tuyun|2021|Chem.Biol.Interact.|345|109555|doi:10.1016/j.cbi.2021.109555
DOI: 10.5517/ccdc.csd.cc26wrhc
title: CCDC 2052463: Experimental Crystal Structure Determination

description: Related Article: Nilüfer Bayrak, Halil I. Ciftci, Mahmut Yıldız, Hatice Yıldırım, Belgin Sever, Hiroshi Tateishi, Masami Otsuka, Mikako Fujita, Amaç Fatih Tuyun|2021|Chem.Biol.Interact.|345|109555|doi:10.1016/j.cbi.2021.109555
DOI: 10.5517/ccdc.csd.cc26wrjd
title: CCDC 2052464: Experimental Crystal Structure Determination

description: Related Article: Nilüfer Bayrak, Halil I. Ciftci, Mahmut Yıldız, Hatice Yıldırım, Belgin Sever, Hiroshi Tateishi, Masami Otsuka, Mikako Fujita, Amaç Fatih Tuyun|2021|Chem.Biol.Interact.|345|109555|doi:10.1016/j.cbi.2021.109555
DOI: 10.5517/ccdc.csd.cc26xld4
title: CCDC 2053266: Experimental Crystal Structure Determination

description: Related Article: Li Qiao, Ke Zhang, Zhichao Wang, Hanjie Li, Ping Lu, Yanguang Wang|2021|J.Org.Chem.|86|7955|doi:10.1021/acs.joc.1c00186
DOI: 10.5517/ccdc.csd.cc26xlf5
title: CCDC 2053267: Experimental Crystal Structure Determination

description: Related Article: Li Qiao, Ke Zhang, Zhichao Wang, Hanjie Li, Ping Lu, Yanguang Wang|2021|J.Org.Chem.|86|7955|doi:10.1021/acs.joc.1c00186
DOI: 10.5517/ccdc.csd.cc26xqc7
title: CCDC 2053389: Experimental Crystal Structure Determination

description: Related Article: Li Qiao, Ke Zhang, Zhichao Wang, Hanjie Li, Ping Lu, Yanguang Wang|2021|J.Org.Chem.|86|7955|doi:10.1021/acs.joc.1c00186
DOI: 10.5517/ccdc.csd.cc2724dw
title: CCDC 2057637: Experimental Crystal Structure Determination

description: Related Article: Jun Liu, Baihua Chen, Yunnu Liu, Jun Ma, Xingliang Li, Yanqiu Yang|2021|Sep.Purif.Technol.|274|119119|doi:10.1016/j.seppur.2021.119119
DOI: 10.5517/ccdc.csd.cc2724fx
title: CCDC 2057638: Experimental Crystal Structure Determination

description: Related Article: Jun Liu, Baihua Chen, Yunnu Liu, Jun Ma, Xingliang Li, Yanqiu Yang|2021|Sep.Purif.Technol.|274|119119|doi:10.1016/j.seppur.2021.119119
DOI: 10.5517/ccdc.csd.cc2724gy
title: CCDC 2057639: Experimental Crystal Structure Determination

description: Related Article: Jun Liu, Baihua Chen, Yunnu Liu, Jun Ma, Xingliang Li, Yanqiu Yang|2021|Sep.Purif.Technol.|274|119119|doi:10.1016/j.seppur.2021.119119
DOI: 10.5517/ccdc.csd.cc27510h
title: CCDC 2060415: Experimental Crystal Structure Determination

description: Related Article: Chandini KM, Fares Hezam Al-Ostoot, Eman E. Shehata, Nuha Y. Elamin, Hela Ferjani, Sridhar MA, Lokanath NK|2021|J.Mol.Struct.|1244|130910|doi:10.1016/j.molstruc.2021.130910
DOI: 10.5517/ccdc.csd.cc2775sg
title: CCDC 2062485: Experimental Crystal Structure Determination

description: Related Article: Dominic Campeau, Alice Pommainville, Fabien Gagosz|2021|J.Am.Chem.Soc.|143|9601|doi:10.1021/jacs.1c04051
DOI: 10.5517/ccdc.csd.cc277h66
title: CCDC 2062777: Experimental Crystal Structure Determination

description: Related Article: Arup Jyoti Das, Raju Chouhan, Sajal Kumar Das|2021|J.Org.Chem.|86|8274|doi:10.1021/acs.joc.1c00721
DOI: 10.5517/ccdc.csd.cc278jy0
title: CCDC 2063792: Experimental Crystal Structure Determination

description: Related Article: Bora Kim, Junho Park, Chang-Woo Cho|2021|Org.Lett.|23|4603|doi:10.1021/acs.orglett.1c01338
DOI: 10.5517/ccdc.csd.cc278jz1
title: CCDC 2063793: Experimental Crystal Structure Determination

description: Related Article: Bora Kim, Junho Park, Chang-Woo Cho|2021|Org.Lett.|23|4603|doi:10.1021/acs.orglett.1c01338
DOI: 10.5517/ccdc.csd.cc2615t8
title: CCDC 2026929: Experimental Crystal Structure Determination

description: Related Article: Reike Clauss, Aleksandr Kazimir, Axel Straube, Evamarie Hey-Hawkins|2021|Inorg.Chem.|60|8722|doi:10.1021/acs.inorgchem.1c00694
DOI: 10.24378/exe.3264
title: The role of verbal working memory in rapid procedural acquisition of a choice response task (dataset)

description: Dataset associated with the article: The role of verbal working memory in rapid procedural acquisition of a choice response task published in Cognition.
description: Raw data files, data coding file, data tables, stimuli and E-prime 2 scripts, and explanatory "readme" document.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/126275