cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16811149.v2
title: Supplemental material from "The Land Snails and Slugs of Tennessee, USA: Taxonomic Composition, Distribution, and an Evaluation of State-Wide Spatial and Taxonomic Survey Biases"

description: Data used in Gladstone et al.<br>CSV and Excel formats are provided, but the data is the same between formats.
DOI: 10.6084/m9.figshare.16811149.v1
title: Supplemental material from "The Land Snails and Slugs of Tennessee, USA: Taxonomic Composition, Distribution, and an Evaluation of State-Wide Spatial and Taxonomic Survey Biases"

description: Data used in Gladstone et al.<br>CSV and Excel formats are provided, but the data is the same between formats.
DOI: 10.5281/zenodo.5519208
title: Unified Model Atmospheric Forecast Model Data for Machine Learning Cloud-Base Height

description: Unified Model data, in pp format, for machine learning of cloud-base height based on profiles of temperature, humidity, pressure and cloud fraction. The model configuration is Global Atmosphere 6, running with a resolution of N320 (which is coarser than what was running operationally at the time). Each simulation is run for 24 hours, re-initialising every 24 hours. A separate data file is provided every 6 hours. Data points are on a latitude-longitude grid in the horizontal and on a stretched grid in the vertical. See https://gmd.copernicus.org/articles/10/1487/2017/ for details of the model configuration. Data from January 2016 is for training. Data from July 2017 is for development/validation Data from October 2017 is for final testing.
DOI: 10.21227/r0rk-pa04
title: Facial spa near me

description: Are you in a search to boost your self-esteem and wish to revitalize your overall appearance? If yes then you should consider to check out medical spas that offer safe and tailored solutions to improve your appearances. These days the number of medical spas popping up everywhere. In Boston, you won't be able to walk a mile without seeing at least one. This means you have more options and more options mean more confusion, so it could be harder to find the right one. If you’re also dealing with the same issue then you should consider visiting Evolution MedSpa Boston. At Evolution MedSpa Boston you will be cared for by our team of Harvard trained specialists. We offer a plethora of services such as botox,peel for acne scars, chemical peels, derma planing and some additional too. We are situated at 4 Pleasant Street South Unit 1, Natick, MA 01760. To book your appointment with us either visit our website or call us at 617-915-2055.
DOI: 10.5517/ccdc.csd.cc1lxnjp
title: CCDC 1487303: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Fritz Vögtle, Andre Mohry|2016|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1p15yv
title: CCDC 1550277: Experimental Crystal Structure Determination

description: Related Article: Lara Cala|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1p15zw
title: CCDC 1550278: Experimental Crystal Structure Determination

description: Related Article: Lara Cala|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1p160y
title: CCDC 1550279: Experimental Crystal Structure Determination

description: Related Article: Lara Cala, Pedro Villar, Ángel R. de Lera, Francisco J. Fañanás, Rosana Álvarez, Félix Rodríguez|2020|Chemical Science|11|9181|doi:10.1039/D0SC03342A
description: Related Article: Lara Cala|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1p1675
title: CCDC 1550286: Experimental Crystal Structure Determination

description: Related Article: Lara Cala|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1q1575
title: CCDC 1580046: Experimental Crystal Structure Determination

description: Related Article: Natália Marozsán, Henrietta Horvath, Éva Kováts, Antal Udvardy, Anikó Erdei, Mihály Purgel, Ferenc Joó|2017|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1q7201
title: CCDC 1585712: Experimental Crystal Structure Determination

description: Related Article: Juan Chai|2019|CSD Communication|||
description: Related Article: Juan Chai, Ping Zhang, Xiangxiang Shi, Jing Sun, Li Wang, Yong Fan|2019|CrystEngComm|21|5440|doi:10.1039/C9CE00972H
DOI: 10.5517/ccdc.csd.cc22blwx
title: CCDC 1916819: Experimental Crystal Structure Determination

description: Related Article: Hao Dong|2019|CSD Communication|||
DOI: 10.5281/zenodo.5575780
title: Supplementary Tables [Genes] Manuscript ID: genes-1419926

description: Supplementary data for a manuscript entitled "A non-shedding fruit <em>Elaeis oleifera</em> palm reveals perturbations to hormone signaling, ROS homeostasis, and hemicellulose metabolism" submitted to Genes
DOI: 10.5281/zenodo.5533969
title: Supplementary Tables [Genes] Manuscript ID: genes-1419926

description: Supplementary data for a manuscript entitled "A non-shedding fruit <em>Elaeis oleifera</em> palm reveals perturbations to hormone signaling, ROS homeostasis, and hemicellulose metabolism" submitted to Genes
DOI: 10.5281/zenodo.5575789
title: Code & Data from: Development of a low cost open-source ultrasonic device for plant height measurements

description: We here provide code and data for the study "Development of a low cost open-source ultrasonic device for plant height measurements" Code:<br> - Arduino code (management of the electronic circuit): "Arduino_ultrasonic_sensor.ino"<br> - OpenSCAD code (3D-printing): "3DShells_ultrasonic_sensor.scad"<br> - R code (statistical analysis of field test): "Statistical_analysis.R" Data:<br> - "manual_vs_sensor_controlled.csv": this file contains the comparison between the ultrasonic device and the ruler in standardized laboratory conditions. It has three columns: "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device; "height_range", the interval to which the height value belongs (we worked with 25 cm intervals).<br> - "manual_vs_ruler_field.csv": this file contains the comparison between the ultrasonic device and the ruler in field conditions. Plant height measurements were performed on 26 sorghum genotypes. The file has four columns: "Genotype", the id of the measured genotype; "rep" the replicate (3 plants were measured for each genotype); "manual_value", the height value measured manually; "sensor_value", the height value obtained from the ultrasonic device. When using the ruler, the operator spent 15 min and 23 s to complete all measurements in the field, and 3 min and 27 s to enter all data manually in a digital file. When using the sensor, the operator spent 10 min and 52 s to complete all measurements in the field, and manual transcription was not needed since all measurements are instantaneously saved on an SD card. More details on the experimental data can be found in the article "Development of a low cost open-source ultrasonic device for plant height measurements". We also provide a tutorial to explain how to build the ultrasonic-sensor ("tutorial.docx")
DOI: 10.34740/kaggle/dsv/2717726
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16826131
title: Supplementary Material for: Utility of Gal d 1-Specific IgE Levels in Predicting Reactivity to Boiled Egg in Chinese Children

description: <b><i>Background:</i></b> Many researchers have reported predicting the outcome of oral food challenges (OFCs) on the basis of specific IgE (sIgE) levels. However, the clinical usefulness of the determination of IgE antibodies to egg allergen components in Chinese children with suspected boiled egg allergy is not well studied. <b><i>Objective:</i></b> Our objective was to assess the diagnostic performance of sIgE to egg white and Gal d 1, 2, 3, and 5 based on the open challenge outcome for boiled egg. <b><i>Methods:</i></b> A total of 48 child patients with a suspect of boiled egg allergy were included. Serum egg white and Gal d 1, 2, 3, and 5 sIgE were measured by ImmunoCAP. Diagnostic value was assessed by area under the receiver operating characteristic curves (AUC). <b><i>Results:</i></b> Using the OFC results as the reference parameter, Gal d 1 sIgE had the highest AUC (0.84) compared with egg white (0.77) and other investigated components (ranging from 0.51 to 0.71). The clinical sensitivity and specificity for the sIgE to Gal d 1 at optimal cutoff (6.15 kU<sub>A</sub>/L) were 73.7% and 96.7%, respectively. Sensitization to Gal d 1 with a cutoff value of &gt;7.48 kU<sub>A</sub>/L indicated a 90% probability of positive challenge. <b><i>Conclusion:</i></b> Quantitative measurements of Gal d 1 sIgE antibodies using ImmunoCAP are useful in the management of boiled egg allergy in Chinese children.
DOI: 10.5281/zenodo.5575802
title: Supplementary data repository for publication "Machine hammer peening as a post-processing treatment for powderbed manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709)"

description: Supplemantary data repository for investigation on powderbed 3D printed tesnile specimens in raw and postprocessed conditions. This readme contains a brief description of the chosen materials, parts and testing devices as well as the perfomed testing methods, including tensile testing, hardness testing and microstructural analysis, with references to the respective supplementary data in the repository. An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well. The dataset is compressed as `Dataset.zip` to preserve the folder structure. See README.MD or README.PDF for detailed description of the dataset.
DOI: 10.5281/zenodo.4723323
title: Supplementary data repository for publication "Machine hammer peening as a post-processing treatment for powderbed manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709)"

description: Supplemantary data repository for investigation on powderbed 3D printed tesnile specimens in raw and postprocessed conditions. This readme contains a brief description of the chosen materials, parts and testing devices as well as the perfomed testing methods, including tensile testing, hardness testing and microstructural analysis, with references to the respective supplementary data in the repository. An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well. The dataset is compressed as `Dataset.zip` to preserve the folder structure. See README.MD or README.PDF for detailed description of the dataset.
DOI: 10.21232/8my7cuxr
title: Leaf reflectance spectra and nitrogen concentration of oilseed rape

description: null
DOI: 10.25380/iastate.13557536
title: 2020 Elsevier Journal Title Level Pricing for Five U.S. Research Universities, v2

description: This data includes 2020 Elsevier title level pricing for five universities, including Florida State University; Iowa State University; University of North Carolina, Chapel Hill; West Virginia University; and an anonymous university named “Institution A” in the data set.In addition, the data includes a summary analysis that includes for each university the 2020 Published List Price, Adjustment from List Price, Average Cost per Journal, and number of Subscribed Titles. This data will be of interest to anyone interested in examining title level pricing from a major commercial publisher.<br><b>Change Log: </b>Version 2: After the original publication of this data set and accompanying paper it was discovered that UNC’s original prices were for a partial year (8 months) rather than a full year. Version 2 of the data set includes 12-month estimated costs for UNC based off the 8-month cost. The following files have been updated to reflect these changes: <i>ELS_TitleLevel_Breakdown_ByInsitution.xlsx</i>, <i>UNC_2020_Pricelist.csv</i>, and <i>readme.pdf</i> which has been renamed <i>readme_V2.pdf.</i> Formatting errors in all the CSV files caught by Stephen Eglen have also been corrected.<br>The journal article by Thornton and Brundy, “Elsevier Title Level Pricing: Dissecting the Bowl of Spaghetti”, which utilized this pricing data, is in the process of being updated to reflect the new UNC pricing information.
DOI: 10.25380/iastate.13557536.v2
title: 2020 Elsevier Journal Title Level Pricing for Five U.S. Research Universities, v2

description: This data includes 2020 Elsevier title level pricing for five universities, including Florida State University; Iowa State University; University of North Carolina, Chapel Hill; West Virginia University; and an anonymous university named “Institution A” in the data set.In addition, the data includes a summary analysis that includes for each university the 2020 Published List Price, Adjustment from List Price, Average Cost per Journal, and number of Subscribed Titles. This data will be of interest to anyone interested in examining title level pricing from a major commercial publisher.<br><b>Change Log: </b>Version 2: After the original publication of this data set and accompanying paper it was discovered that UNC’s original prices were for a partial year (8 months) rather than a full year. Version 2 of the data set includes 12-month estimated costs for UNC based off the 8-month cost. The following files have been updated to reflect these changes: <i>ELS_TitleLevel_Breakdown_ByInsitution.xlsx</i>, <i>UNC_2020_Pricelist.csv</i>, and <i>readme.pdf</i> which has been renamed <i>readme_V2.pdf.</i> Formatting errors in all the CSV files caught by Stephen Eglen have also been corrected.<br>The journal article by Thornton and Brundy, “Elsevier Title Level Pricing: Dissecting the Bowl of Spaghetti”, which utilized this pricing data, is in the process of being updated to reflect the new UNC pricing information.
DOI: 10.25380/iastate.13557536.v1
title: 2020 Elsevier Journal Title Level Pricing for Five U.S. Research Universities

description: This data includes 2020 Elsevier title level pricing for five universities, including Florida State University; Iowa State University; University of North Carolina, Chapel Hill; West Virginia University; and an anonymous university named “Institution A” in the data set. In addition, the data includes a summary analysis that includes for each university the 2020 Published List Price, Adjustment from List Price, Average Cost per Journal, and number of Subscribed Titles. This data will be of interest to anyone interested in examining title level pricing from a major commercial publisher.
DOI: 10.6084/m9.figshare.16826239
title: Data for: Functional traits of alpine plant communities show long-term resistance to changing herbivore densities.

description: This dataset includes three files: for Hol, for Setesdal mainland and for Setesdal islands. The files include covariates (Grazing treatment, Elevation, Year) and response variables (Height.gen, Height.veg, SLA, Seed.number.per.plant, Seed.dry.mass, Leaf.dry.mass, Leaf.area, LDMC, Woodiness), produced as described in the publication"Functional traits of alpine plant communities show long-term resistance to changing herbivore densities" by Katariina E. M. Vuorinen, Gunnar Austrheim, Atle Mysterud, Ragnhild Gya, Vigdis Vandvik, John-Arvid Grytnes & James D. M. Speed in Ecosphere 2021.<br>
DOI: 10.6084/m9.figshare.12905960
title: Figure 3 - reproductive data

description: Reproductive traits and environmental variables for 370 Sabellaria alveolata individuals, sampled across ten sites spanning 14.5° latitude, over two sampling periods (summer 2017 and winter 2018)<br>
DOI: 10.6084/m9.figshare.12905960.v2
title: Figure 3 - reproductive data

description: Reproductive traits and environmental variables for 370 Sabellaria alveolata individuals, sampled across ten sites spanning 14.5° latitude, over two sampling periods (summer 2017 and winter 2018)<br>
DOI: 10.6084/m9.figshare.12905960.v1
title: Figures 3 & 5- reproductive data

description: Reproductive traits and environmental variables for 370 Sabellaria alveolata individuals, sampled across ten sites spanning 14.5° latitude, over two sampling periods (summer 2017 and winter 2018)<br>
DOI: 10.5281/zenodo.5570522
title: Dataset of "Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021 IJWF Ref WF21076

description: Remote Sensing data from Servei Meteorològic de Catalunya in relation to the study "Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021 published in the InternationaL Journal of Wildland Fire Ref WF21076 Dataset: Radar: reflectivity, VIL and Echotops 12 and 35, daily QPE (quantitative Precipitation Estimates) Lightning: IC and CG flashes Tracking vectors Daily summary maps
DOI: 10.5281/zenodo.5570521
title: Dataset of "Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021 IJWF Ref WF21076

description: Remote Sensing data from Servei Meteorològic de Catalunya in relation to the study "Characterisation of thunderstorms that caused lightning-ignited wildfires" by Soler et al 2021 published in the InternationaL Journal of Wildland Fire Ref WF21076 Dataset: Radar: reflectivity, VIL and Echotops 12 and 35, daily QPE (quantitative Precipitation Estimates) Lightning: IC and CG flashes Tracking vectors Daily summary maps
DOI: 10.5281/zenodo.5574537
title: Region-based Annotation Data of Fire Images for Intelligent Surveillance System

description: This data presents fire segmentation annotation data on 12 commonly used and publicly available “VisiFire Dataset” videos from http://signal.ee.bilkent.edu.tr/VisiFire/. This annotations dataset was obtained by per-frame, manual hand annotation over the fire region with 2,684 total annotated frames. Since this annotation provides per-frame segmentation data, it offers a new and unique fire motion feature to the existing video, unlike other fire segmentation data that are collected from different still images. The annotations dataset also provides ground truth for segmentation task on videos. With segmentation task, it offers better insight on how well a machine learning model understood, not only detecting whether a fire is present, but also its exact location by calculating metrics such as Intersection over Union (IoU) with this annotations data. This annotations data is a tremendously useful addition to train, develop, and create a much better smart surveillance system for early detection in high-risk fire hotspots area.
DOI: 10.6084/m9.figshare.16826296.v1
title: Sponge data for Ecosphere manuscript.xlsx

description: These data were collected as part of a multiphase ecological restoration project to empirically test whether sponge habitat restoration was feasible in Florida Bay and nearshore waters of the Florida Keys
DOI: 10.6084/m9.figshare.16826296
title: Sponge data for Ecosphere manuscript.xlsx

description: These data were collected as part of a multiphase ecological restoration project to empirically test whether sponge habitat restoration was feasible in Florida Bay and nearshore waters of the Florida Keys
DOI: 10.25721/k7vr-c966
title: Musique de bal
DOI: 10.5281/zenodo.5575982
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo using the following command: <pre><code class="language-bash">cd src/figures && python run_simulation.py</code></pre>
DOI: 10.5281/zenodo.5573042
title: Simulation results

description: This is the result of a very expensive simulation. Here is some text describing the simulation in detail, how it was generated, and how to use the dataset.<br><br>Created using showyourwork from this GitHub repo using the following command: <pre><code class="language-bash">cd src/figures && python run_simulation.py</code></pre>
DOI: 10.25721/y5bv-tr48
title: Musique de bal
DOI: 10.17861/9bbd947d-2bd4-4fc5-b9ca-b01974fdc2bb
title: Database of Thai Seafood and Seafood Waste Composition

description: This database has been compiled as part of a Newton Institutional Links project on seafood biorefining with Kasetsart University, Thailand.
DOI: 10.25919/bnr2-mw15
title: Parkes observations for project P1131 semester 2021OCTS_02

description: Fast Radio Bursts (FRBs) are extragalactic radio transients with the duration time in the range of several microseconds to tens of milliseconds. The origin of them is still unclear. Ultraluminous X-ray Sources (ULXs) are objects that mostly discovered in external galaxies which host black holes or neutron stars, with isotropic luminosities exceeding the usual Eddington value for stellar-mass black holes. The host galaxies of ULXs, and their spatial offsets within their hosts, show broad similarities to those of FRB. Periodicity of days to years of some repeated FRBs could be attributed to the companion effect of ULXs. Moreover, pulsing ULXs (PULXs) which hots neutron stars may be the manifestation of accreting magnetars. Therefore, we propose targeted FRB searches of known PULXs, which have not yet been carried out by other telescopes according to published literature to date. Our observations will play an important role in investigating the FRB progenitors. If FRBs were detected in our selected ULXs, then puzzle of FRBs' origin would be directly resolved. If no FRB is detected, we can still constrain some ULX-related models statistically, e.g. the upper limit of the burst rate, the period of duty cycle, etc. Our observations can also be used to hunt for radio pulsars in PULXs.
DOI: 10.5281/zenodo.5576072
title: Hp(y) of 1-1 measurement line of I-steel column

description: Hp(y) of 1-1 measurement line of I-steel column under different loads.
DOI: 10.5281/zenodo.5576071
title: Hp(y) of 1-1 measurement line of I-steel column

description: Hp(y) of 1-1 measurement line of I-steel column under different loads.
DOI: 10.25721/5f72-3y19
title: Musique de bal
DOI: 10.3886/e114264v1-99160
title: Replication data for: Oil and Conflict: What Does the Cross Country Evidence Really Show?

description: This paper re-examines the effect of oil wealth on political violence. Using a unique historical panel dataset of oil discoveries, we show that simply controlling for country fixed effects removes the statistical association between the value of oil reserves and civil war onset. Other macro-political violence measures, such as coup attempts, are also uncorrelated with oil wealth. To further address endogeneity concerns, we exploit changes in oil reserves due to randomness in the success of oil explorations. We find little robust evidence that oil discoveries increase the likelihood of political violence. Rather, oil discoveries increase military spending in nondemocratic countries. (JEL D74, H56, O17, Q34, Q41)
DOI: 10.3886/e114264v1-99161
title: Replication data for: Oil and Conflict: What Does the Cross Country Evidence Really Show?

description: This paper re-examines the effect of oil wealth on political violence. Using a unique historical panel dataset of oil discoveries, we show that simply controlling for country fixed effects removes the statistical association between the value of oil reserves and civil war onset. Other macro-political violence measures, such as coup attempts, are also uncorrelated with oil wealth. To further address endogeneity concerns, we exploit changes in oil reserves due to randomness in the success of oil explorations. We find little robust evidence that oil discoveries increase the likelihood of political violence. Rather, oil discoveries increase military spending in nondemocratic countries. (JEL D74, H56, O17, Q34, Q41)
DOI: 10.6084/m9.figshare.16823650
title: Presidential Dataset: News articles written about Obama and Trump

description: The Presidential dataset consists of two corpora, a collection of articles written about Trump and Obama.<br><br>
DOI: 10.6084/m9.figshare.16823650.v1
title: Presidential Dataset: News articles written about Obama and Trump

description: The Presidential dataset consists of two corpora, a collection of articles written about Trump and Obama.<br><br>
DOI: 10.5281/zenodo.5575961
title: WILIAM Task 7.4

description: This is the official repository of the Task 7.4 of H2020 Locomotion project. Feel free to use our data and comment about our work, referencing the main authors of it.