cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6608428
title: Linked Open Data for the maritime domain

description: Linked Data in this data set have been compiled from diverse data sources providing information about Trade and Transport locations, protected areas, surveillance data of vessels and vessel characteristics. Data have been transformed into triples according to the vesselAI ontology, using RDF-Gen . All geometries are provided using OGC terms. The vesselAI ontology documentation is available here . In a nutshell, this data set comprises data from the following sources: 1. AIS messages of moving objects retrieved from Norwegian Coastal Administration's SafeSeaNet solution, combined with data provided by the Danish Maritime Authority. Each record contains the coordinates of the vessel, a timestamp, an identifier for the vessel, its speed and heading. Typically, each vessel reports this information by sending an AIS message every few seconds. Each reported position is also annotated with the corresponding weather conditions according to Copernicus Climate Change Service (C3S) (files: reconstructed_traj.7z, ais202101_part1.7z, ais202101_part2.7z) <br> . The weather variables currently considered as relative to the movement of vessels are: '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_dewpoint_temperature', '2m_temperature', 'mean_sea_level_pressure', 'mean_wave_direction', 'mean_wave_period', 'precipitation_type', 'sea_surface_temperature', 'total_precipitation' 2. Vessel characteristics retrieved from online sources, combined with information about departure and destination seaports. United Nations Code for Trade and Transport Locations (UN/LOCODE), has been also used, to annotate the seaports with their longitude, latitude and Well Known Text (WKT) information, as well as features and facilities available according to online sources (files: vesselsCharacteristics.7z, worldPorts.7z ). 3. Regions of interest in the maritime domain include fishing areas, endangered species habitat areas, exclusive economic zones (EEZ), Natura2000 protected areas. In this snapshot we provide Natura2000 regions (file: natura2000.7z). Updates and additional data sets can be found here . The surveillance and weather data in this data set, are for January 2021 and within the region defined by the degrees: #west: 2.53<br> #south: 51.50<br> #north: 60.50<br> #east: 17.50
DOI: 10.5281/zenodo.6608427
title: Linked Open Data for the maritime domain

description: Linked Data in this data set have been compiled from diverse data sources providing information about Trade and Transport locations, protected areas, surveillance data of vessels and vessel characteristics. Data have been transformed into triples according to the vesselAI ontology, using RDF-Gen . All geometries are provided using OGC terms. The vesselAI ontology documentation is available here . In a nutshell, this data set comprises data from the following sources: 1. AIS messages of moving objects retrieved from Norwegian Coastal Administration's SafeSeaNet solution, combined with data provided by the Danish Maritime Authority. Each record contains the coordinates of the vessel, a timestamp, an identifier for the vessel, its speed and heading. Typically, each vessel reports this information by sending an AIS message every few seconds. Each reported position is also annotated with the corresponding weather conditions according to Copernicus Climate Change Service (C3S) (files: reconstructed_traj.7z, ais202101_part1.7z, ais202101_part2.7z) <br> . The weather variables currently considered as relative to the movement of vessels are: '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_dewpoint_temperature', '2m_temperature', 'mean_sea_level_pressure', 'mean_wave_direction', 'mean_wave_period', 'precipitation_type', 'sea_surface_temperature', 'total_precipitation' 2. Vessel characteristics retrieved from online sources, combined with information about departure and destination seaports. United Nations Code for Trade and Transport Locations (UN/LOCODE), has been also used, to annotate the seaports with their longitude, latitude and Well Known Text (WKT) information, as well as features and facilities available according to online sources (files: vesselsCharacteristics.7z, worldPorts.7z ). 3. Regions of interest in the maritime domain include fishing areas, endangered species habitat areas, exclusive economic zones (EEZ), Natura2000 protected areas. In this snapshot we provide Natura2000 regions (file: natura2000.7z) as well as World Protected Areas data set (file: wdpa2022.ttl.7z ) Updates and additional data sets can be found here . The surveillance and weather data in this data set, are for January 2021 and within the region defined by the degrees: #west: 2.53<br> #south: 51.50<br> #north: 60.50<br> #east: 17.50
DOI: 10.5281/zenodo.7097482
title: Linked Open Data for the maritime domain

description: Linked Data in this data set have been compiled from diverse data sources providing information about Trade and Transport locations, protected areas, surveillance data of vessels and vessel characteristics. Data have been transformed into triples according to the vesselAI ontology, using RDF-Gen . All geometries are provided using OGC terms. The vesselAI ontology documentation is available here . In a nutshell, this data set comprises data from the following sources: 1. AIS messages of moving objects retrieved from Norwegian Coastal Administration's SafeSeaNet solution, combined with data provided by the Danish Maritime Authority. Each record contains the coordinates of the vessel, a timestamp, an identifier for the vessel, its speed and heading. Typically, each vessel reports this information by sending an AIS message every few seconds. Each reported position is also annotated with the corresponding weather conditions according to Copernicus Climate Change Service (C3S) (files: reconstructed_traj.7z, ais202101_part1.7z, ais202101_part2.7z) <br> . The weather variables currently considered as relative to the movement of vessels are: '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_dewpoint_temperature', '2m_temperature', 'mean_sea_level_pressure', 'mean_wave_direction', 'mean_wave_period', 'precipitation_type', 'sea_surface_temperature', 'total_precipitation' 2. Vessel characteristics retrieved from online sources, combined with information about departure and destination seaports. United Nations Code for Trade and Transport Locations (UN/LOCODE), has been also used, to annotate the seaports with their longitude, latitude and Well Known Text (WKT) information, as well as features and facilities available according to online sources (files: vesselsCharacteristics.7z, worldPorts.7z ). 3. Regions of interest in the maritime domain include fishing areas, endangered species habitat areas, exclusive economic zones (EEZ), Natura2000 protected areas. In this snapshot we provide Natura2000 regions (file: natura2000.7z) as well as World Protected Areas data set (file: wdpa2022.ttl.7z ) Updates and additional data sets can be found here . The surveillance and weather data in this data set, are for January 2021 and within the region defined by the degrees: #west: 2.53<br> #south: 51.50<br> #north: 60.50<br> #east: 17.50
DOI: 10.5281/zenodo.7102043
title: Linked Open Data for the maritime domain

description: Linked Data in this data set have been compiled from diverse data sources providing information about Trade and Transport locations, protected areas, surveillance data of vessels and vessel characteristics. Data have been transformed into triples according to the vesselAI ontology, using RDF-Gen . All geometries are provided using OGC terms. The vesselAI ontology documentation is available here . In a nutshell, this data set comprises data from the following sources: 1. AIS messages of moving objects retrieved from Norwegian Coastal Administration's SafeSeaNet solution, combined with data provided by the Danish Maritime Authority. Each record contains the coordinates of the vessel, a timestamp, an identifier for the vessel, its speed and heading. Typically, each vessel reports this information by sending an AIS message every few seconds. Each reported position is also annotated with the corresponding weather conditions according to Copernicus Climate Change Service (C3S) (files: reconstructed_traj.7z, ais202101_part1.7z, ais202101_part2.7z) <br> . The weather variables currently considered as relative to the movement of vessels are: '10m_u_component_of_wind', '10m_v_component_of_wind', '2m_dewpoint_temperature', '2m_temperature', 'mean_sea_level_pressure', 'mean_wave_direction', 'mean_wave_period', 'precipitation_type', 'sea_surface_temperature', 'total_precipitation' 2. Vessel characteristics retrieved from online sources, combined with information about departure and destination seaports. United Nations Code for Trade and Transport Locations (UN/LOCODE), has been also used, to annotate the seaports with their longitude, latitude and Well Known Text (WKT) information, as well as features and facilities available according to online sources (files: vesselsCharacteristics.7z, worldPorts.7z ). 3. Regions of interest in the maritime domain include fishing areas, endangered species habitat areas, exclusive economic zones (EEZ), Natura2000 protected areas. In this snapshot we provide Natura2000 regions (file: natura2000.7z) as well as World Protected Areas data set (file: wdpa2022.ttl.7z ) Updates and additional data sets can be found here . The surveillance and weather data in this data set, are for January 2021 and within the region defined by the degrees: #west: 2.53<br> #south: 51.50<br> #north: 60.50<br> #east: 17.50
DOI: 10.5517/ccdc.csd.cc21z9x8
title: CCDC 1905970: Experimental Crystal Structure Determination

description: Related Article: Ling Ma, Xiaofei Chen, Siyu Zhu, Wei Chen, Qin Ma, Wenxi Fan, Jie Zhang, Liang Guo|2022|RSC Med. Chem.|13|1064|doi:10.1039/D2MD00065B
description: Related Article: Liang Guo|2022|CSD Communication|||
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: 10.6084/m9.figshare.21183934.v1
title: DSS

description: regular data point
DOI: 10.6084/m9.figshare.21183934.v2
title: DSS

description: regular data point
DOI: 10.21233/hqgk-wh71
title: Wezepe pollen dataset

description: Raw data for the Wezepe pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x5bc-x413
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tp5m-p208
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3gtw-ps38
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jnqb-rp22
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xmhv-2z51
title: Wezepe pollen dataset

description: Raw data for the Wezepe pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dg7k-9f62
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/c8mv-mz54
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6zdb-ms90
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6wpe-f796
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1hkg-ae43
title: La Botica plant macrofossil dataset

description: Raw data for the La Botica plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.3886/e113539v1-127720
title: Replication data for: Does Forest Loss Increase Human Disease? Evidence from Nigeria

description: We examine the impact of forest loss on three infectious diseases attributed to modifiable environmental factors in the last decade in Nigeria. Geolinking a new high-resolution dataset of global forest change to child-level health data from the Nigeria Demographic and Health Surveys from 2008 and 2013, we find that forest loss significantly increases the incidence of malaria, though it does not affect the incidence of diarrhea and respiratory diseases. The impact of forest loss on malaria is large and the dynamic pattern of the impact suggests a temporary ecological disturbance consistent with findings in the tropical medicine literature.
description: Children born to women between 15 and 49 years of age and interviewed in 2008 and 2013 as part of a nationally representative Demographic Heath and Health Survey.
DOI: 10.6084/m9.figshare.16416775
title: Acceptability of constraint induced movement therapy: influence of perceived difficulty and expected treatment outcome

description: Constraint-Induced Movement (CI) Therapy has evidence of efficaciously rehabilitating upper-extremity hemiparesis after stroke. Yet, it is not widely used in the United States. One barrier appears to be the perception of its difficulty among stroke care consumers, as reported by two published studies in which the participants had little or no apparent direct exposure to CI Therapy. Assess the perception of difficulty of CI Therapy by individuals with chronic stroke who have actually undergone CI Therapy. A secondary analysis was conducted of data from two randomized controlled trials of CI Therapy. Participants had chronic, mild-to-moderate upper-extremity hemiparesis after stroke. The Motor Activity Log and Wolf Motor Function Test were used to measure motor function of the more-affected arm. A Patient Opinion Survey assessed participants’ perception of difficulty and satisfaction with treatment. The participants (N = 40) showed large improvements in motor function of their more-affected arm after treatment, p’s &lt;001. CI Therapy was perceived to be of only moderate difficulty by participants before treatment (mean = 4.4 out of 7). Perception of its difficulty decreased afterward (mean = 3.7, <i>p</i> = .002). Moreover, participants were highly satisfied with their outcomes (mean = 6.3 out of 7). Satisfaction was positively related to the improvements in more-affected arm use in everyday life, Δ<i>R<sup>2</sup></i> = .3, <i>p</i> &lt; .001. Chronic stroke survivors who have actually had CI Therapy perceive it to be of only moderate difficulty and are highly satisfied. Negative views about its acceptability warrant reconsideration.
DOI: 10.25921/bzvg-wt71
title: EK60 Water Column Sonar Data Collected During RL1810
DOI: 10.6084/m9.figshare.21171916.v1
title: P101SC17100357-01-B1-3_result.tar.gz

description: Raw sequence data for 16S rRNA were deposited under NCBI BioProject Accession PRJNA797861 (not released yet).
DOI: 10.6084/m9.figshare.21171916
title: P101SC17100357-01-B1-3_result.tar.gz

description: Raw sequence data for 16S rRNA were deposited under NCBI BioProject Accession PRJNA797861 (not released yet).
DOI: 10.5517/ccdc.csd.cc2cm1gj
title: CCDC 2193047: Experimental Crystal Structure Determination

description: Related Article: Eliott Le Du, Julien Borrel, Jerome Waser|2022|Org.Lett.|24|6614|doi:10.1021/acs.orglett.2c02625
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: 10.25493/nxry-0w6
title: Two-photon calcium imaging of layer 2/3 somas and layer 5 dendrites in mouse visual cortex during visual occlusion (v1)

description: It is thought that cortical feedback is crucial for accurate sensory perception and awareness. However, it remains unclear whether feedforward and feedback information is integrated at the level of individual neurons or whether separate neuronal populations can encode the different information streams. We present a dataset containing recorded calcium signals in layer 2/3 and layer 5 pyramidal neurons of mouse visual cortex. The used behavioral paradigm was aimed at separately inducing sensory and contextual responses in the mouse primary visual cortex while tracking neuronal activity using two-photon calcium imaging for testing if feedforward inputs are modulated by feedback inputs providing contextual information. We further trained mice to detect natural scenes to test how perceptual learning induced stimulus-specific plasticity. Our dataset comprises the raw calcium images and extracted neuronal activity of pre-selected regions-of-interest for layer 2/3 and layer 5 pyramidal neurons. In addition, we provide log files, trial events and behavioral data of the mouse such as pupil size, pupil location and locomotor activity. This dataset will be useful for analyzing and modeling plasticity and integration of feedforward and contextual information streams in mouse visual cortex.
DOI: 10.6084/m9.figshare.21183994
title: T2.sav

description: T2 contains mean scores of their two latest exams to measure their current foreign language achievement. The same students filled in the same scale afterward to measure their current FLE.
DOI: 10.6084/m9.figshare.21183994.v1
title: T2.sav

description: T2 contains mean scores of their two latest exams to measure their current foreign language achievement. The same students filled in the same scale afterward to measure their current FLE.
DOI: 10.6084/m9.figshare.21183997
title: data

description: T1 contains Chinese version of the Foreign Language Enjoyment Scale (CFLES) to measure their past foreign language enjoyment (FLE) before their first college English class (T1), and their National College Entrance Examination scores two months before were a measurement of their past language achievement. T2 contains mean scores of their two latest exams to measure their current foreign language achievement. The same students filled in the same scale afterward to measure their current FLE.
DOI: 10.6084/m9.figshare.21183997.v1
title: T1.sav

description: T1 contains Chinese version of the Foreign Language Enjoyment Scale (CFLES) to measure their past foreign language enjoyment (FLE) before their first college English class (T1), and their National College Entrance Examination scores two months before were a measurement of their past language achievement.
DOI: 10.5281/zenodo.7101602
title: Coherent enhancement of optical remission in diffusive media

description: Experimental data sets associated with "Coherent enhancement of optical remission in diffusive media" (https://doi.org/10.1073/pnas.2207089119).
description: {"references": ["Bender, Nicholas, et al. \"Coherent enhancement of optical remission in diffusive media.\" PNAS (2022).", "Bender, Nicholas, et al. \"Coherent enhancement of optical remission in diffusive media.\" arXiv:2205.00351 (2022)."]}
DOI: 10.5281/zenodo.7101601
title: Coherent enhancement of optical remission in diffusive media

description: Experimental data sets associated with "Coherent enhancement of optical remission in diffusive media" (https://doi.org/10.1073/pnas.2207089119).
description: {"references": ["Bender, Nicholas, et al. \"Coherent enhancement of optical remission in diffusive media.\" PNAS (2022).", "Bender, Nicholas, et al. \"Coherent enhancement of optical remission in diffusive media.\" arXiv:2205.00351 (2022)."]}
DOI: 10.34820/fk2/rjkowg/dqan96
title: Artikel Terbit.pdf

description: :unav
DOI: 10.34820/fk2/rjkowg
title: Review Pergeseran Fotografi Dari Sistem Konvensional ke Digital (Virtual Photoshoot) Pada Masa Pandemi COVID-19

description: Virtual photoshoot is a new method in the development era of modern contemporary photography that was born due to the impact of COVID-19. This study finally tries to analyze the trend of virtual photoshoots as the use of photography technology during the Covid-19 pandemic. Virtual photoshoot is a development of photography. The method used in this research is a phenomenological approach regarding the use of online video call software in the process of shooting the object. The sample of this research is the photographic works of virtual photoshoot by Michael Fabians Cools when taking pictures using the sophisticated video call application. The results showed three main results, namely media, technical and aesthetic. In terms of media, research has found that the existence of social media such as Instagram can support the existence of a virtual photoshoot trend. Technically research, this virtual photoshoot implementation method is something new and has never happened before. The virtual photoshoot implementation method is applied in in-game screenshots and Google Street View, where virtual photoshoots offer a shooting process by taking pictures through an LCD monitor using video call software such as Zoom, Facetime, and Google Meet to bring up photo objects. Aesthetically, this study found that the results of photos from virtual photoshoots led to photography techniques that were not widely used before in conventional shooting, namely displaying the blur effect on photos using glasses or bottles. The blur effect that is usually produced through lens settings can also be produced with a glass or bottle.
DOI: 10.34740/kaggle/dsv/4234733
title: BBC News
DOI: 10.34740/kaggle/dsv/4234750
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.19947332
title: Deep listening the animal other: trash-foraging gulls at Ämmässuo waste treatment centre

description: For centuries, seeing has dominated other senses in Western thought. To a certain extent, this has also been the case in animal philosophy. In this article, animal otherness is examined through listening. We explore otherness in animals that share urban environments and utilise material surplus discarded by humans: gulls. Our fieldwork takes place at Ämmässuo, a waste treatment centre located in Espoo, Southern Finland. The method of listening is Deep Listening, a composer’s sound practice developed by American composer Pauline Oliveros. In Deep Listening, listeners are connected with their environment and all its inhabitants through listening. What is heard is always changed by listening, and in turn, listening changes the listener. The article utilises the concept of <i>sonosphere</i> also created by Oliveros, as well as the concept of <i>atmosphere</i> as it has been described by Andrew Whitehouse. It proposes a method of <i>listening-with gulls</i> which acknowledges the diverse differences and similarities between species while also taking into account the agencies of infrastructures and machines affecting both human and nonhuman lives.