cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.10042412.v3
title: Barro Colorado Island, AVA tower_Solar Radiation, PAR

description: Barro Colorado Island, AVA tower.Two Sensors: North and South<br>Photosynthetically Active Radiation (PAR), Interval max/min/avg<br><br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.25573/data.10042520.v3
title: Bocas del Toro, Platform Tower_Precipitation

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Precipitation, Interval Total<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorlogical tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042466.v3
title: Barro Colorado Island, AVA tower_Precipitation

description: Barro Colorado Island, AVA tower.<br>Precipitation, electronic tipping bucket<br><br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.25573/data.10042553.v3
title: Bocas del Toro, Platform Tower_Wind Direction

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Wind direction, Interval Mean Vector and Standard Deviation<br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorlogical tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.17632/gzp5xh3wxn.1
title: Data for: Ytterbium – doped prussian blue: fabrication, photothermal performance and antibacterial activity

description: Chemiscal measurements including:UV,XRD,XPS,FT-IR,heating performance Biological measurements including:antibacterial performance
DOI: 10.25573/data.10042541.v3
title: Bocas del Toro, Platform Tower_Wind Speed

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Wind Speed, Interval max/min/avg<br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042445.v3
title: Barro Colorado Island, AVA tower_Wind speed

description: Barro Colorado Island, AVA tower.Wind speed, electronic sensor, interval max/min/avg<br>Established in Mar, 2011 as part of the ForestGEO Tropical Ecology, Assessment and Monitoring (TEAM) project.<br>The original tower was Located near the center of the island at the north west corner of the 50ha plot (9.1568°, -79.8486°).<br>In 2018 this tower was struck by a tree fall and rendered unusable.<br>In Feb. 2019 a new 45m tower was build close by (9.1568°, -79.8486°). <br>
DOI: 10.25573/data.10042556.v3
title: Bocas del Toro, Platform Tower_Relative Humidity

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Relative Humidity, Interval max/min/avg<br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorlogical tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042574.v3
title: Bocas del Toro, Platform Tower_Water Temperature

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Temperature, Interval average<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042601.v3
title: Agua Salud, Celestino Tower_Wind Direction

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Wind Direction, interval mean vector and standard deviation<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.6073/pasta/5789c467b36679c0611bb922e6b65d85
title: McMurdo Dry Valleys LTER: Dissolved oxygen measurements in supraglacial streams on Canada Glacier, Antarctica, January 2019

description: We installed dissolved oxygen sensors in three locations on a supraglacial stream network on Canada Glacier in Taylor Valley, Antarctica in conjunction with a series of nutrient tracer injection experiments. This data collection was intended to provide context for respiration and primary productivity via dissolved oxygen dynamics during our nutrient tracer injections. Sensors were deployed a day before the start of the tracer series and collected on the last day of experiments. Over the course of their deployment, two of the three locations had issues with freezing around the sensor and produced large artifacts (swings) in the data.Â
DOI: 10.25573/data.10042523.v3
title: Bocas del Toro, Platform Tower_Solar Radiation, Pyranometer

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Solar Radiation, Pyranometer, Interval max/min/avg<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorlogical tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042592.v3
title: Agua Salud, Celestino Tower_Clear Sky Solar Radiation

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Interval, calculated Clear Sky Solar Radiation<br>Defined as the amount of solar radiation that would be received at the weather measurement site under conditions of clear sky (i.e., cloud-free)<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042559.v3
title: Bocas del Toro, Platform Tower_Air Temperature

description: Bocas del Toro Research Station, TowerLocation: 9.351553°, -82.256565°<br>Air Temperature, Interval max/min/avg<br><br>Sensors located on a platform located approximately 60m from the end of the station’s dock. Platform includes meteorological tower, Sea Surface Temperature probe and several sea level sensors. The current platform was built in 2012 to replace the original platform.<br>
DOI: 10.25573/data.10042580.v3
title: Agua Salud, Celestino Tower_Solar Radiation, PAR

description: Agua Salud Celestino Tower. Two sensors, North and South<br>Location 9.21142N, 79.72656W<br>Photosynthetically Active Radiation (PAR), interval average<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042727.v3
title: Agua Salud, Celestino Tower_Net Radiation 3 of 3

description: Agua Salud Celestino Tower, Net Radiation<br>Location 9.21142N, 79.72656W<br>Parameters: <br> albedo (soil albedo), 0-1 (statistics calculated only for data between 7am and 5pm)<br> dnwlwr (down-welling long wave radiation), W/m2<br> dnwsr (down-welling short wave radiation), W/m2<br> netlwr (net long wave radiation), W/m2<br> netswr (net short wave radiation), W/m2<br> netrad (net radiation), W/m2<br> radt (radiometer temperature), C<br> rdnwlwr (raw down-welling long wave radiation), W/m2<br> rupwlwr (raw upwelling long wave radiation), W/m2<br> upwlwr (upwelling long wave radiation), W/m2<br> upwswr (upwelling short wave radiation), W/m2<br> soilt (soil temperature), C<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.6073/pasta/4f07e42d04632411e9a27fdff54d462d
title: Repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River, GA

description: We established a transect of 42 stations for repeat photography of tidal fresh forest trees along the salinity gradient of the Altamaha River estuary. Target trees are located approximately every km on both the north and south banks, beginning at km 20 (with 0 at the mouth of the estuary) up to km 41, for a total of 21 km. We used a small boat to travel to each station and take digital photographs of target trees facing the river in Nov 2017, Feb, May, Aug of 2018. In Oct 2018 we extended the transect an additional 5 km downstream so that it now starts at km 16, with 5 more stations on the north bank and 5 on the south bank. All 52 stations were photographed in Oct 2018 and Oct 2019. These photos will be used to distinguish healthy, stressed and dead trees in each image and how they change over time.
DOI: 10.25573/data.10042565.v3
title: Agua Salud, Celestino Tower_Precipitation

description: Agua Salud Celestino Tower. <br>Two sensors: north and south<br>Location 9.21142N, 79.72656W<br>Precipitation, interval total<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042562.v3
title: Agua Salud, Celestino Tower_Evapotranspiration Index

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Calculated Evapotranspiration Index, interval total<br>Based on the short reference ASCE Standardized Reference Evapotranspiration equation using a tall reference calculation based on alfalfa.<br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042577.v3
title: Agua Salud, Celestino Tower_Net Radiation 2 of 3

description: Agua Salud Celestino Tower, Net RadiationLocation 9.21142N, 79.72656W<br>Parameters: <br> albedo (soil albedo), 0-1 (statistics calculated only for data between 7am and 5pm)<br> dnwlwr (down-welling long wave radiation), W/m2<br> dnwsr (down-welling short wave radiation), W/m2<br> netlwr (net long wave radiation), W/m2<br> netswr (net short wave radiation), W/m2<br> netrad (net radiation), W/m2<br> radt (radiometer temperature), C<br> rdnwlwr (raw down-welling long wave radiation), W/m2<br> rupwlwr (raw upwelling long wave radiation), W/m2<br> upwlwr (upwelling long wave radiation), W/m2<br> upwswr (upwelling short wave radiation), W/m2<br> soilt (soil temperature), C<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3665656
title: IO Islamic 3246. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 3246. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665657
title: IO Islamic 3246. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 3246. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.17632/jtdz62t7by.1
title: Predicting Infections using Computational Intelligence – ASystematic Review

description: Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care to minimize the damage produced by the disease, or to isolate them to avoid the risk of spread. In this context, computational intelligence can be very useful to predict the risk of infection in patients, raising early alarms that can aid medical teams to respond as quick as possible. In this paper, we survey the state of the art on infection prediction using computer science by means of a systematic literature review. The objective is to find papers where computational intelligence is used to predict infections in patients using physiological data as features. We have posed one major research question along with nine more specific subquestions. The whole review process is thoroughly described, and eight databases are considered which index most of the literature published in different scholarly formats. A total of 101 relevant documents have been found in the period comprised between 2003 and 2019, and a detailed study of these documents is carried out to classify the works and be able to answer the research questions posed, resulting to the best of our knowledge in the most comprehensive study of its kind. We conclude that the most widely addressed infection is by far sepsis, followed by Clostridium difficile infection and surgical site infections. Most works use machine learning techniques, from which logistic regression, support vector machines, random forest and naive Bayes are the most common. Some machine learning works provide some ideas on the problems of small data and class imbalance, which can be of interest for researchers. The current systematic literature review shows that automatic diagnosis of infectious diseases using computational intelligence is well documented in the medical literature.
DOI: 10.17632/jtdz62t7by.2
title: Predicting Infections using Computational Intelligence – A Systematic Review

description: Infections encompass a set of medical conditions of very diverse kinds that can pose a significant risk to health, and even death. As with many other diseases, early diagnosis can help to provide patients with proper care to minimize the damage produced by the disease, or to isolate them to avoid the risk of spread. In this context, computational intelligence can be very useful to predict the risk of infection in patients, raising early alarms that can aid medical teams to respond as quick as possible. In this paper, we survey the state of the art on infection prediction using computer science by means of a systematic literature review. The objective is to find papers where computational intelligence is used to predict infections in patients using physiological data as features. We have posed one major research question along with nine more specific subquestions. The whole review process is thoroughly described, and eight databases are considered which index most of the literature published in different scholarly formats. A total of 101 relevant documents have been found in the period comprised between 2003 and 2019, and a detailed study of these documents is carried out to classify the works and be able to answer the research questions posed, resulting to the best of our knowledge in the most comprehensive study of its kind. We conclude that the most widely addressed infection is by far sepsis, followed by Clostridium difficile infection and surgical site infections. Most works use machine learning techniques, from which logistic regression, support vector machines, random forest and naive Bayes are the most common. Some machine learning works provide some ideas on the problems of small data and class imbalance, which can be of interest for researchers. The current systematic literature review shows that automatic diagnosis of infectious diseases using computational intelligence is well documented in the medical literature.
DOI: 10.25573/data.10042583.v3
title: Agua Salud, Celestino Tower_Solar Radiation, Pyranometer

description: Agua Salud Celestino Tower. <br>Two sensors: North and South<br>Location 9.21142N, 79.72656W<br>Solar Radiation, Pyranometer, Interval average<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042547.v3
title: Agua Salud, Celestino Tower_Air Pressure

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Air Pressure, Interval average<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3665648
title: IO Islamic 323. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 323. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665649
title: IO Islamic 323. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 323. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.25573/data.10042571.v3
title: Agua Salud, Celestino Tower_Wind Speed

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Wind Speed, Interval max/min/avg<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.25573/data.10042568.v3
title: Agua Salud, Celestino Tower_Air Temperature

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Air Temperature, interval max/min/avg<br><br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3665670
title: IO Islamic 2530. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 2530. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665671
title: IO Islamic 2530. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 2530. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.25573/data.10042589.v3
title: Agua Salud, Celestino Tower_Relative Humidity

description: Agua Salud Celestino Tower. <br>Location 9.21142N, 79.72656W<br>Relative Humidity, interval max/min/avg<br>Established in 2015 and is located at the eastern edge of the Soberania Nation Park, in an area of pastures and forest patches. The tower is 40ft (12.2m) tall
DOI: 10.5281/zenodo.3665664
title: IO Islamic 3256. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 3256. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665665
title: IO Islamic 3256. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 3256. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665652
title: IO Islamic 2402. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 2402. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665653
title: IO Islamic 2402. Muntakhab-i-Lubâb, History of the Tîmûrides in India

description: IO Islamic 2402. Muntakhab-i-Lubâb, History of the Tîmûrides in India
DOI: 10.5281/zenodo.3665641
title: IO Islamic 3151. Tadhkirat-alsalâṭîn-i- Ć'aghatâ, General History of Indian Branch of Tîmûrides

description: IO Islamic 3151. Tadhkirat-alsalâṭîn-i- Ć’aghatâ, General History of Indian Branch of Tîmûrides
DOI: 10.5281/zenodo.3665640
title: IO Islamic 3151. Tadhkirat-alsalâṭîn-i- Ć'aghatâ, General History of Indian Branch of Tîmûrides

description: IO Islamic 3151. Tadhkirat-alsalâṭîn-i- Ć’aghatâ, General History of Indian Branch of Tîmûrides
DOI: 10.5281/zenodo.3665662
title: Cyber Troll dataset

description: Cyber Troll Dataset
DOI: 10.5281/zenodo.3514721
title: Dataset and codes for "BaHSYM: parsimonious Bayesian Hierarchical Model to predict river Sediment Yield"

description: This folder contains: R project file R code for Best Fit model R code for temporal cross-validation R code for spatial cross-validation R code for cluster analysis dataset containing all input variables for the river gauges (and catchments) used for the development and testing of the BaHSYM model in Austria It also contains the same codes and datasets adapted to reproduce the model by de Vente et al. (2011), i.e. with the same structure but with the variables used in such model.
DOI: 10.5281/zenodo.3514720
title: Dataset and codes for "BaHSYM: parsimonious Bayesian Hierarchical Model to predict river Sediment Yield"

description: This folder contains: R project file R code for Best Fit model R code for temporal cross-validation R code for spatial cross-validation R code for cluster analysis dataset containing all input variables for the river gauges (and catchments) used for the development and testing of the BaHSYM model in Austria It also contains the same codes and datasets adapted to reproduce the model by de Vente et al. (2011), i.e. with the same structure but with the variables used in such model.
DOI: 10.25919/5e44616fc103d
title: Parkes observations for project P1022 semester 2019OCTS_18

description: We propose observations with the ultra-wide-bandwidth, low frequency receiver (UWL) installed at the Parkes telescope to carry out the first well-calibrated coherent de-dispersed search for pulsars in 47 Tucanae. The proposed observation could result in new pulsars and also provide the firstly detailed study of the calibration and polarisation properties for previously known pulsars.
DOI: 10.25345/c51m5x
title: MassIVE MSV000084952 - Absolute quantification of transcription factors reveals principles of gene regulation in erythropoiesis
title: Relative quantification of transcription factors during human ex vivo erythropoiesis by iTRAQ
DOI: 10.18430/m36l46
title: X-ray diffraction data for the high-resolution neutron and X-ray joint refined structure of copper-containing nitrite reductase from Geobacillus thermodenitrificans (6L46)
DOI: 10.18430/m36o4a
title: X-ray diffraction data for the cRYSTAL STRUCTURE OF SMT FUSION PEPTIDYL-PROLYL CIS-TRANS ISOMERASE FROM BURKHOLDERIA PSEUDOMALLEI COMPLEXED WITH SF355 (6O4A)
DOI: 10.18430/m36o49
title: X-ray diffraction data for the cRYSTAL STRUCTURE OF SMT FUSION PEPTIDYL-PROLYL CIS-TRANS ISOMERASE FROM BURKHOLDERIA PSEUDOMALLEI COMPLEXED WITH SF339 (6O49)
DOI: 10.21227/k2cq-7888
title: COMPREHENSIVE WATERSHED MANAGEMENT WATER USE TRACKING PROJECT

description: These datasets are for requirement specification of the real projects in the software engineering scope.
DOI: 10.21227/b6qr-sv70
title: COMPREHENSIVE WATERSHED MANAGEMENT WATER USE TRACKING PROJECT

description: These datasets are for requirement specification of the real projects in the software engineering scope.
DOI: 10.25345/c5wx18
title: MassIVE MSV000084953 - Potent neutralization of human H3N2 viruses by GNL lectin targeting conserved oligomannose N-linked glycans
title: Hemagglutinins (HAs) from human influenza viruses adapt to specifically bind alpha 2-6-linked sialosides, overcoming a receptor-defined species barrier that is distinct from the alpha 2-3 specificity of avian virus progenitors. Additionally, human-adapted HAs incrementally gain glycosylation sites over time, although the nature and biological consequences of the additional glycans remain poorly defined. Using quantitative glycomic analysis, we show that HAs from human pandemic viruses exhibit significant proportions of high-mannose type N-linked glycans throughout the head domain, whereas poorly adapted avian-origin HAs have predominately complex-type glycans. Even at low frequencies, oligomannose sites present in all tested recombinant HAs and whole-viruses can be specifically labelled for universal detection. Using molecular modelling, we find that the positions of high-mannose glycosites on the HA of human H1N1 and H3N2 strains are conserved. Inhibition studies show that high-mannose-binding lectins possess broad capacity to inhibit contemporary H3N2 strains and highlight potential for therapeutic development.