cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/w5dr-jz19
title: Videos for Three-dimensional Object Tracking in Panoramic Video and LiDAR for Radiological Source-Object Attribution and Improved Source Detection

description: Networked detector systems can be deployed in urban environments to aid in the detection and localization of radiological and/or nuclear material. However, effectively responding to and interpreting a radiological alarm using spec- troscopic data alone may be hampered by a lack of situational awareness, particularly in complex environments. This study investigates the use of LiDAR and streaming video to enable real-time object detection and tracking, and the fusion of this tracking information with radiological data for the purposes of enhanced situational awareness and increased detection sensitiv- ity. This work presents an object detection, tracking, and novel source-object attribution analysis that is capable of operating in real-time. By implementing this analysis pipeline on a custom developed system that comprises a static 2 × 4 × 16 inch NaI(Tl) detector co-located with a 64-beam LiDAR and 4 monocular cameras, we demonstrate the ability to accurately correlate trajectories from tracked objects to spectroscopic gamma-ray data in real time, and use physics-based models to reliably discriminate between source-carrying and non-source-carrying objects. In this work, we describe our approach in detail and present a quantitative performance assessment that characterizes the source-object attribution capabilities of both video and Li- DAR. Additionally, we demonstrate the ability to simultaneously track pedestrians and vehicles in a mock urban environment, and use this tracking information to improve both detection sensitivity and situational awareness using our contextual-radiological data fusion methodology.
DOI: 10.34740/kaggle/dsv/1772537
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.4386987
title: MRI2FEM data set

description: DICOM data and FreeSurfer recon-all generated files for Mathematical modeling of the human brain: from magnetic resonance images to finite element simulation (MRI2FEM)
DOI: 10.15468/9ybhp8
title: Phialolunulospora vermispora (Chaetosphaeriaceae, Sordariomycetes), a novel asexual genus and species from freshwater in southern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zheng, Hua, Wan *, Yake, Li, Jie, Castaneda-Ruiz, Rafael F., Yu, Zefen (2020): Phialolunulospora vermispora (Chaetosphaeriaceae, Sordariomycetes), a novel asexual genus and species from freshwater in southern China. MycoKeys 76: 17-30, DOI: http://dx.doi.org/10.3897/mycokeys.76.57410, URL: http://dx.doi.org/10.3897/mycokeys.76.57410
DOI: 10.15468/exw65p
title: New Cantharellus species from South Korea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Buyck, Bart, Hofstetter, Valerie, Ryoo, Rhim, Ka, Kang-Hyeon, Antonin, Vladimir (2020): New Cantharellus species from South Korea. MycoKeys 76: 31-47, DOI: http://dx.doi.org/10.3897/mycokeys.76.58179, URL: http://dx.doi.org/10.3897/mycokeys.76.58179
DOI: 10.6084/m9.figshare.13480317
title: Protein composition of circulating extracellular vesicles immediately changed by particular short time of high intensity interval training exercise

description: The changes in circulating proteomic profile of EVs to assess the effect of High intensity interval training @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:"ＭＳ Ｐゴシック"; panose-1:2 11 6 0 7 2 5 8 2 4; mso-font-charset:128; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536870145 1791491579 134217746 0 131231 0;}@font-face {font-family:"\@ＭＳ Ｐゴシック"; mso-font-charset:128; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536870145 1791491579 134217746 0 131231 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0mm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"ＭＳ Ｐゴシック",sans-serif; mso-bidi-font-family:"ＭＳ Ｐゴシック";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"游明朝",serif; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}div.WordSection1 {page:WordSection1;} @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face {font-family:"ＭＳ Ｐゴシック"; panose-1:2 11 6 0 7 2 5 8 2 4; mso-font-charset:128; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536870145 1791491579 134217746 0 131231 0;}@font-face {font-family:"\@ＭＳ Ｐゴシック"; mso-font-charset:128; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-536870145 1791491579 134217746 0 131231 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0mm; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"ＭＳ Ｐゴシック",sans-serif; mso-bidi-font-family:"ＭＳ Ｐゴシック";}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"游明朝",serif; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}div.WordSection1 {page:WordSection1;}
DOI: 10.25345/c5879t
title: MassIVE MSV000086632 - B cells support the repair of injured tissues by adopting a MyD88-dependent regulatory phenotype
title: This study examines the mechanisms through which exogenous mature naive B cells respond to and modulate the cellular microenvironment of injured tissues and shows, in skin and brain injury, an essential role for MyD88-dependent TLR signaling through TLR2/6 and TLR4. Samples were combined and analyzed in four sets of TMT10 pools (Sirbulescu_TMT1 to Sirbulescu_TMT4). Sets 3-4 were analyzed in a combined manner by adjusting protein levels identified in each set based on the average intensity across all samples in each set. Data were acquired on an Orbitrap Fusion using the SPS-MS3 method. TMT labeling of all samples was done as listed below: Control B cells: BC1 (TMT2, 129n), BC2 (TMT3, 129n) Control intact skin: C1 (TMT2, 126), C2 (TMT3, 126), C3 (TMT4, 126), C4 (TMT4, 127n) B cells - 0 days: B1-0 (TMT2, 129c), B2-0 (TMT4, 129c), B3-0 (TMT3, 129c), B4-0 (TMT4, 130n) Saline - 0 days: P1-0 (TMT3,127n), P2-0 (TMT2, 127n), P3-0 (TMT4, 127c), P4-0 (TMT4, 128n) B cells - 1 day: B1-1 (TMT1, 128c), B2-1 (TMT1, 129c), B3-1 (TMT2, 130n), B4-1 (TMT3, 130n) Saline - 1 day: P1-1 (TMT1, 126), P2-1 (TMT1, 127c), P3-1 (TMT2, 127c), P4-1 (TMT3, 127c) B cells - 4 days: B1-4d (TMT1, 129n), B2-4d (TMT1, 130n), B3-4d (TMT4, 130c), B4-4d (TMT2, 130c), B5-4d (TMT3, 130c) Saline - 4 days: P1-4d (TMT1, 127n), P2-4d (TMT1, 128n), P3-4d (TMT2, 128n), P4-4d (TMT4, 128c), P5-4d (TMT3, 128n) B cells - 10 days: B1-10d (TMT2, 131), B2-10d (TMT3, 131), B3-10d (TMT4, 131) Saline - 10 days: P1-10d (TMT4, 129n), P2-10d (TMT2, 128c), P3-10d (TMT3, 128c)
DOI: 10.5281/zenodo.4387002
title: Long read proteogenomics codeathon

description: Datasets for the CSHL LRP Codeathon team
DOI: 10.6084/m9.figshare.13038257
title: Electrochemical Metrics for Corrosion Resistant Alloys

description: A dataset with multiple sections using different measured corrosion resistance metrics. The six sections include data on various metal alloys with measurements of 1) pitting potential, 2) repassivation potential, 3) crevice corrosion potential, 4) pitting temperature, 5) crevice corrosion temperature, and 6) corrosion potential, corrosion current density, passivation current density, and corrosion rate. The experimental data were collected from 81 publications and include Al- and Fe-based alloys, high entropy alloys (HEAs), and NiCrMo alloys.
DOI: 10.6084/m9.figshare.13038257.v1
title: Electrochemical Metrics for Corrosion Resistant Alloys

description: A dataset with multiple sections using different measured corrosion resistance metrics. The six sections include data on various metal alloys with measurements of 1) pitting potential, 2) repassivation potential, 3) crevice corrosion potential, 4) pitting temperature, 5) crevice corrosion temperature, and 6) corrosion potential, corrosion current density, passivation current density, and corrosion rate. The experimental data were collected from 81 publications and include Al- and Fe-based alloys, high entropy alloys (HEAs), and NiCrMo alloys.
DOI: 10.6084/m9.figshare.13172510
title: Drivers for asynchronous patterns of dust accumulation in central and eastern Asia and in Greenland during the Last Glacial Maximum

description: Sheet 1: The 143 statistic OSL ages are collected from 22 loess sections from Central Asia.<br> Sheet 2: The OSL ages result with corresponding De values of all samples from Courtobe loess sections located in Tacheng Basin, China . OSL ages measured in the Institute of Earth environment, Chinese Academy of Sciences. A fine-grained (4-11μm) quartz single-aliquot regenerative-dose (SAR) protocol was used to measure them.<br>Sheet 3: The sedimentation rate of Courtobe and Xiaoerbulake loess section, obliquity, precession, the predictand of regression analysis, dust concentration from NGRIP ice core using GICC05 age scale, 30% LOWESS detrended of NGRIP dust concentration.
DOI: 10.3886/e118584v1-72800
title: Japanese citizen’s behavioral changes

description: Cross sectional data from an online survey to Japanese citizen aged 20 to 64 years old, cunducted between 26 and 28 March 2020. The number of respondents is 11,342. Questions of the survey include the behavioral changes of Japanese people toward COVID-19.
description: Quota sampling was conducted so that the sample distributions among gender (male or female), age group (20s, 30s, 40s, 50s or 60s), and employment status (regular employee, non-regular employee, self-employed or not working) become equal to those of the representative Japanese population, based on the statistics of the Labor Force Survey (Ministry of Internal Affairs and Communications).<br>
DOI: 10.3886/e129643
title: Page Gehlbach AERA Open 2017

description: Deep reinforcement learning using convolutional neural networks is the technology behind autonomous vehicles. Could this same technology facilitate the road to college? During the summer between high school and college, college-related tasks that students must navigate can hinder successful matriculation. We employ conversational artificial intelligence (AI) to efficiently support thousands of would-be college freshmen by providing personalized, text message–based outreach and guidance for each task where they needed support. We implemented and tested this system through a field experiment with Georgia State University (GSU). GSU-committed students assigned to treatment exhibited greater success with pre-enrollment requirements and were 3.3 percentage points more likely to enroll on time. Enrollment impacts are comparable to those in prior interventions but with substantially reduced burden on university staff. Given the capacity for AI to learn over time, this intervention has promise for scaling personalized college transition guidance. <br>
DOI: 10.3886/e129643v1
title: Page Gehlbach AERA Open 2017

description: Deep reinforcement learning using convolutional neural networks is the technology behind autonomous vehicles. Could this same technology facilitate the road to college? During the summer between high school and college, college-related tasks that students must navigate can hinder successful matriculation. We employ conversational artificial intelligence (AI) to efficiently support thousands of would-be college freshmen by providing personalized, text message–based outreach and guidance for each task where they needed support. We implemented and tested this system through a field experiment with Georgia State University (GSU). GSU-committed students assigned to treatment exhibited greater success with pre-enrollment requirements and were 3.3 percentage points more likely to enroll on time. Enrollment impacts are comparable to those in prior interventions but with substantially reduced burden on university staff. Given the capacity for AI to learn over time, this intervention has promise for scaling personalized college transition guidance. <br>
DOI: 10.3886/e129224
title: US Scientific Literacy Study 2016

description: The 2016 US Scientific Literacy Study is a national probability sample of US adult age 18 and older conducted by AmeriSpeak at the National Opinion Research Center at the University of Chicago. The first was was conducted in February and March of 2016 and the second wave was conducted in November and December of 2016. This study measures civic scientific literacy, attitudes toward science and technology, and a wide range of information acquisition behaviors.
description: Separate weights are computed for the first wave of the survey and for the combination of the two waves and are included in the data set.
description: Response Rates: The weighted cumulative response rate for both waves is 14%.
description: Presence of Common Scales: Numerous scales are used and are included in the data set.
description: computer-assisted self interview (CASI); telephone interview;
description: Probability sample of US adults age 18 and older.. Smallest Geographic Unit: US adults age 18 and older.
description: The sample was selected by the NORC using a national listing of occupied residences compiled by the US Post Office. Respondents were selected on a probability basis to reflect the US adult population.
DOI: 10.3886/e129224v1
title: US Scientific Literacy Study 2016

description: The 2016 US Scientific Literacy Study is a national probability sample of US adult age 18 and older conducted by AmeriSpeak at the National Opinion Research Center at the University of Chicago. The first was was conducted in February and March of 2016 and the second wave was conducted in November and December of 2016. This study measures civic scientific literacy, attitudes toward science and technology, and a wide range of information acquisition behaviors.
description: Separate weights are computed for the first wave of the survey and for the combination of the two waves and are included in the data set.
description: Response Rates: The weighted cumulative response rate for both waves is 14%.
description: Presence of Common Scales: Numerous scales are used and are included in the data set.
description: computer-assisted self interview (CASI); telephone interview;
description: Probability sample of US adults age 18 and older.. Smallest Geographic Unit: US adults age 18 and older.
description: The sample was selected by the NORC using a national listing of occupied residences compiled by the US Post Office. Respondents were selected on a probability basis to reflect the US adult population.
DOI: 10.3886/e129661
title: The Rural-Nonrural Divide?: Data and Analysis Files

description: This project includes replication files for the AERA Open manuscript "The Rural-Nonrural Divide? K-12 District Spending and Implications of Equity-Based School Funding"<br>The abstract of the paper is included below:<br>In the 2013-14 school year, the state of California implemented a new equity-minded funding system, the Local Control Funding Formula (LCFF). LCFF increased minimum per-pupil funding for educationally underserved students and provided greater autonomy in allocating resources. We use the implementation of LCFF to enrich our understanding of rural school finance and explore the implications of equity-based school finance reform across urbanicity (i.e., between rural, town, suburban, and urban districts), and between rural areas of different remoteness. Drawing on 15 years of financial data from California school districts, we find variation in the funding levels of rural districts but few differences in the ways resources are allocated and only modest evidence of constrained spending in rural areas. Our results suggest that spending progressivity (i.e., spending advantage of higher-poverty districts) has increased since LCFF, although progressivity is lowest in rural districts by the end of the data panel. <br>
description: Local education agencies in California<br>. Smallest Geographic Unit: Local education agency
DOI: 10.3886/e129661v1
title: The Rural-Nonrural Divide?: Data and Analysis Files

description: This project includes replication files for the AERA Open manuscript "The Rural-Nonrural Divide? K-12 District Spending and Implications of Equity-Based School Funding"<br>The abstract of the paper is included below:<br>In the 2013-14 school year, the state of California implemented a new equity-minded funding system, the Local Control Funding Formula (LCFF). LCFF increased minimum per-pupil funding for educationally underserved students and provided greater autonomy in allocating resources. We use the implementation of LCFF to enrich our understanding of rural school finance and explore the implications of equity-based school finance reform across urbanicity (i.e., between rural, town, suburban, and urban districts), and between rural areas of different remoteness. Drawing on 15 years of financial data from California school districts, we find variation in the funding levels of rural districts but few differences in the ways resources are allocated and only modest evidence of constrained spending in rural areas. Our results suggest that spending progressivity (i.e., spending advantage of higher-poverty districts) has increased since LCFF, although progressivity is lowest in rural districts by the end of the data panel. <br>
description: Local education agencies in California<br>. Smallest Geographic Unit: Local education agency
DOI: 10.17632/yzm3hb5kr9.2
title: Data for: Identification of timing of scallop deformity and mortality from shell oxygen isotope records

description: The dataset shows the oxygen isotopic values of scallop shells.
DOI: 10.5281/zenodo.4384166
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4384165
title: Wikidata Dump

description: RDF dump of wikidata produced with wdumps. <br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.4387015
title: LA-ICP-MS data of the Chongce ice core

description: LA-ICP-MS data of the Chongce ice core
DOI: 10.5281/zenodo.4387022
title: LA-ICP-MS data of the Chongce ice core

description: LA-ICP-MS data of the Chongce ice core
DOI: 10.5281/zenodo.4387014
title: LA-ICP-MS data of the Chongce ice core

description: LA-ICP-MS data of the Chongce ice core
DOI: 10.5281/zenodo.3978754
title: Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours"

description: Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours". This file includes the tilt record at the coastal tiltmeter SAMH during the 2010 Chile earthquake. The dataset was uploaded to Zenodo during the review process, but now can be available at the institutional repository of the National Research Institute for Earth Science and Disaster Resilience (NIED-IR, https://nied-ir.bosai.go.jp). To access the dataset, please visit http://doi.org/10.17598/NIED.0018.
description: {"references": ["Tatsuya, Kubota et al. (2020). Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours. Earth and Space Science, 7, e2020EA001197. https://doi.org/10.1029/2020EA001197"]}
DOI: 10.5281/zenodo.3978753
title: Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours"

description: Supplementary dataset for "Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours". This file includes the tilt record at the coastal tiltmeter SAMH during the 2010 Chile earthquake. The dataset was uploaded to Zenodo during the review process, but now can be available at the institutional repository of the National Research Institute for Earth Science and Disaster Resilience (NIED-IR, https://nied-ir.bosai.go.jp). To access the dataset, please visit http://doi.org/10.17598/NIED.0018.
description: {"references": ["Tatsuya, Kubota et al. (2020). Ultra-broadband seismic and tsunami wave observation of high-sampling ocean-bottom pressure gauge covering periods from seconds to hours. Earth and Space Science, 7, e2020EA001197. https://doi.org/10.1029/2020EA001197"]}
DOI: 10.18112/openneuro.ds003451.v1.0.1
title: multimid_IDOR
DOI: 10.5281/zenodo.4386495
title: SARdB: A Dataset for Audio Scene Source Counting and Analysis

description: This dataset contains audio and textual data for audio source counting. A balanced audio dataset is contained under 'SAR' containing speech and environmental audio mixtures. The corresponding speech transcripts are contained in 'transcript' as .txt files. More information can be found here
DOI: 10.5281/zenodo.4386494
title: SARdB: A Dataset for Audio Scene Source Counting and Analysis

description: This dataset contains audio and textual data for audio source counting. A balanced audio dataset is contained under 'SAR' containing speech and environmental audio mixtures. The corresponding speech transcripts are contained in 'transcript' as .txt files. More information can be found here
DOI: 10.15472/vsnmar
title: Lista de especies de flora del Escudo Guayanés en Inírida (Guainía, Colombia)

description: El nororiente de la Amazonia colombiana, en particular el Departamento del Guainía, constituye una zona de especial interés puesto que en ella se encuentran ecosistemas característicos del Escudo Guayanés, que solo se encuentran en esta zona del país y que presentan marcadas diferencias con otros; esta región que geológicamente se encuentra entre las más antiguas del mundo y que presenta particularidades como los afloramientos rocosos, los bosques y sabanas sobre arenas blancas que han sido poco estudiados en nuestro país y muchos se encuentran por fuera del sistema nacional de áreas protegidas, lo cual hace indispensable enfocar esfuerzos para conocer su base natural. Por este motivo la presente publicación constituye uno de los primeros esfuerzos en la generación y divulgación de conocimiento sobre la flora de la Guayana colombiana; y será un punto de referencia obligado para futuras investigaciones en la región. La publicación es fruto del trabajo realizado por los investigadores del Programa de Flora del Instituto SINCHI entre los años 2004 y 2007, durante los cuales se realizó un muestreo intensivo en desarrollo del proyecto “Inventario Florístico en Áreas Estratégicas de la Amazonia Colombiana” y de diferentes proyectos adelantados conjuntamente con la Corporación para el Desarrollo Sostenible del Norte y Oriente Amazónico (CDA).
description: La publicación Flora del Escudo Guayanés en Inírida (Guainía, Colombia), incluye una lista anotada de las especies de plantas que crecen en el municipio de Inírida y sus áreas adyacentes, en la que se registran 974 especies, de las cuales 105 constituyen primeros registros para la flora colombiana. Se destaca la presencia de dos de las cuatro familias consideradas endémicas de la región biogeográfica de la Guyana, como lo son Tepuianthaceae y Euphroniaceae (Huber et al. 1998), esta ultima incluida en el presente trabajo en la familia Vochysiaceae.