cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10686620
title: Data set for "Evolution of Au nanoparticles in c-plane GaN under the heavy ion implantation and their optical properties "

description: The modification of GaN with Au nanoparticles is a promising way for manipulating optical properties in optoelectronics and enhancing the sensitivity of GaN-based substrates used in Surface Enhanced Raman Spectroscopy. Ion implantation is an attractive method for the preparation of high-purity metal nanoparticles on the surface or within the bulk of solids, although this process in crystals is not yet fully understood. Here we study the specific stages of Au nanoparticle formation in c-plane GaN crystals implanted with 1.85 MeV Au ions to the fluence range of 1.5×1016, 3×1016, 5×1016 and 7×1016 cm-2. The implanted samples were annealed at 800 °C in an ammonia atmosphere for 20 minutes. The structural and optical properties of the samples were investigated by a combination of Rutherford backscattering spectroscopy in channeling mode (RBS-C), Transmission Electron Microscopy (TEM), Raman spectroscopy, photoluminescence (PL) and diffuse-reflectance spectroscopy (DRS).

Rutherford backscattering spectrometry was carried out in the channeling regime (RBS-C) using the 2.8 MeV He ion beam and cumulated charge of 1.69 μC. The collected spectra were used also for calculation of displacement depth profiles.

Raman spectra were obtained by the inVia Raman microscope (Renishaw, England) in backscattering geometry with a CCD detector and a DPSS laser (532 nm, 50 mW) with an applied power of 2,5 mW and a 50× magnification objective.

High-resolution transmission electron microscopy (HRTEM) and scanning transmission electron microscopy (STEM)and Brieght Field TEM (BF-TEM) images were captured by Fei Tecnai F20 field emission gun transmission electron microscope operated at 200 kV.

PL spectroscopy measurements were carried out at 10 K by employing a closed-cycle He refrigerator system and using a 325 nm wavelength He–Cd laser as an excitation source (power density ∼10 W cm-2). The PL spectra were recorded by fiber-optic spectrometers (Ocean Optics HR4000/USB4000).

DRS was measured at room temperature (RT) by EVO-600 (Thermo Fisher Scientific, Inc.) UV–Vis spectrophotometer.
DOI: 10.5281/zenodo.10686621
title: Data set for "Evolution of Au nanoparticles in c-plane GaN under the heavy ion implantation and their optical properties "

description: The modification of GaN with Au nanoparticles is a promising way for manipulating optical properties in optoelectronics and enhancing the sensitivity of GaN-based substrates used in Surface Enhanced Raman Spectroscopy. Ion implantation is an attractive method for the preparation of high-purity metal nanoparticles on the surface or within the bulk of solids, although this process in crystals is not yet fully understood. Here we study the specific stages of Au nanoparticle formation in c-plane GaN crystals implanted with 1.85 MeV Au ions to the fluence range of 1.5×1016, 3×1016, 5×1016 and 7×1016 cm-2. The implanted samples were annealed at 800 °C in an ammonia atmosphere for 20 minutes. The structural and optical properties of the samples were investigated by a combination of Rutherford backscattering spectroscopy in channeling mode (RBS-C), Transmission Electron Microscopy (TEM), Raman spectroscopy, photoluminescence (PL) and diffuse-reflectance spectroscopy (DRS).

Rutherford backscattering spectrometry was carried out in the channeling regime (RBS-C) using the 2.8 MeV He ion beam and cumulated charge of 1.69 μC. The collected spectra were used also for calculation of displacement depth profiles.

Raman spectra were obtained by the inVia Raman microscope (Renishaw, England) in backscattering geometry with a CCD detector and a DPSS laser (532 nm, 50 mW) with an applied power of 2,5 mW and a 50× magnification objective.

High-resolution transmission electron microscopy (HRTEM) and scanning transmission electron microscopy (STEM)and Brieght Field TEM (BF-TEM) images were captured by Fei Tecnai F20 field emission gun transmission electron microscope operated at 200 kV.

PL spectroscopy measurements were carried out at 10 K by employing a closed-cycle He refrigerator system and using a 325 nm wavelength He–Cd laser as an excitation source (power density ∼10 W cm-2). The PL spectra were recorded by fiber-optic spectrometers (Ocean Optics HR4000/USB4000).

DRS was measured at room temperature (RT) by EVO-600 (Thermo Fisher Scientific, Inc.) UV–Vis spectrophotometer.
DOI: 10.6084/m9.figshare.24558619
title: <b>DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition</b>

description: We release the DOO-RE dataset which consists of data streams from 11 types of various ambient sensors by collecting data 24/7 from a real-world meeting room. 4 types of ambient sensors, called environment-driven sensors, measure continuous state changes in the environment (e.g. sound), and 4 types of sensors, called user-driven sensors, capture user state changes (e.g. motion). The remaining 3 types of sensors, called actuator-driven sensors, check whether the attached actuators are active (e.g. projector on/off). The values of each sensor are automatically collected by IoT agents which are responsible for each sensor in our IoT system. A part of the collected sensor data stream representing a user activity is extracted as an activity episode in the DOO-RE dataset. Each episode's activity labels are annotated and validated by cross-checking and the consent of multiple annotators. A total of 9 activity types appear in the space: 3 based on single users and 6 based on group (i.e. 2 or more people) users. As a result, DOO-RE is constructed with 696 labeled episodes for single and group activities from the meeting room. DOO-RE is a novel dataset created in a public space that contains the properties of the real-world environment and has the potential to be good uses for developing powerful activity recognition approaches.
DOI: 10.6084/m9.figshare.24558619.v2
title: <b>DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition</b>

description: We release the DOO-RE dataset which consists of data streams from 11 types of various ambient sensors by collecting data 24/7 from a real-world meeting room. 4 types of ambient sensors, called environment-driven sensors, measure continuous state changes in the environment (e.g. sound), and 4 types of sensors, called user-driven sensors, capture user state changes (e.g. motion). The remaining 3 types of sensors, called actuator-driven sensors, check whether the attached actuators are active (e.g. projector on/off). The values of each sensor are automatically collected by IoT agents which are responsible for each sensor in our IoT system. A part of the collected sensor data stream representing a user activity is extracted as an activity episode in the DOO-RE dataset. Each episode's activity labels are annotated and validated by cross-checking and the consent of multiple annotators. A total of 9 activity types appear in the space: 3 based on single users and 6 based on group (i.e. 2 or more people) users. As a result, DOO-RE is constructed with 696 labeled episodes for single and group activities from the meeting room. DOO-RE is a novel dataset created in a public space that contains the properties of the real-world environment and has the potential to be good uses for developing powerful activity recognition approaches.
DOI: 10.5281/zenodo.10680052
title: 5GMETA MASA dataset

description: The Modena Automotive Smart Area (MASA) dataset contains JSON messages with information about road users (vehicles, pedestrians, etc.) detected in Modena, Italy:



road user type

road user position (latitude and longitude)

road user speed

road user heading


The data come from sensors and cameras onboard 5G connected vehicles driving in an urban area and smart cameras deployed in the urban area. The data were transmitted via 5G network or cabled ethernet network.

The data have been anonymized during the collection.

This dataset is based on the data collected during the CLASS European project, grant agreement No 780622.

This dataset can help transport authorities better understand and manage road traffic, identify risk areas and plan infrastructure maintenance operations.
DOI: 10.5281/zenodo.10680053
title: 5GMETA MASA dataset

description: The Modena Automotive Smart Area (MASA) dataset contains JSON messages with information about road users (vehicles, pedestrians, etc.) detected in Modena, Italy:



road user type

road user position (latitude and longitude)

road user speed

road user heading


The data come from sensors and cameras onboard 5G connected vehicles driving in an urban area and smart cameras deployed in the urban area. The data were transmitted via 5G network or cabled ethernet network.

The data have been anonymized during the collection.

This dataset is based on the data collected during the CLASS European project, grant agreement No 780622.

This dataset can help transport authorities better understand and manage road traffic, identify risk areas and plan infrastructure maintenance operations.
DOI: 10.20381/ruor-21057
title: Getting "Beyond the Fence" (ATI reference 36-81-84-85)

description: In 2015, Correctional Service Canada launched a virtual tour promising a 'first-hand' and 'realistic' depiction of life and work inside a federal penitentiary titled Beyond the Fence. Based on an analysis of Access to Information disclosures, we examine the backstage activities that went into the production, marketing, and evaluation of the tour. Drawing on Goffman's (1959) notions of frontstage and backstage, as well as MacCannell's (1973) idea of staged authenticity, we reveal how representations of incarceration and punishment were sanitized to build legitimacy and consent for carceralism. We conclude by reflecting on the need to study the content and form of state representations of penality, and the challenges that representations pose to working toward a future without carceral institutions.
DOI: 10.20381/ruor-21079
title: Getting "Beyond the Fence" (ATI reference 102)

description: In 2015, Correctional Service Canada launched a virtual tour promising a 'first-hand' and 'realistic' depiction of life and work inside a federal penitentiary titled Beyond the Fence. Based on an analysis of Access to Information disclosures, we examine the backstage activities that went into the production, marketing, and evaluation of the tour. Drawing on Goffman's (1959) notions of frontstage and backstage, as well as MacCannell's (1973) idea of staged authenticity, we reveal how representations of incarceration and punishment were sanitized to build legitimacy and consent for carceralism. We conclude by reflecting on the need to study the content and form of state representations of penality, and the challenges that representations pose to working toward a future without carceral institutions.
DOI: 10.6084/m9.figshare.13513695
title: raw data 2020-12-30(1).xls

description: 16S rRNA gene sequencing of nasopharyneal microbiomes of 21 donkeys. Fourteen healthy donkeys and seven <i>S.equi</i> carrier donkeys were included.
DOI: 10.6084/m9.figshare.7222160.v1
title: Additional file 2: of Holo-Seq: single-cell sequencing of holo-transcriptome

description: Table S1. Not1-site-containing transcripts in mouse. Table S2. Not1-site-containing transcripts in human. Table S3. Sequencing statistics of RNA libraries. Table S4. Single cell library cost with different methods. (XLSX 171 kb)
DOI: 10.6084/m9.figshare.7222160
title: Additional file 2: of Holo-Seq: single-cell sequencing of holo-transcriptome

description: Table S1. Not1-site-containing transcripts in mouse. Table S2. Not1-site-containing transcripts in human. Table S3. Sequencing statistics of RNA libraries. Table S4. Single cell library cost with different methods. (XLSX 171 kb)
DOI: 10.6084/m9.figshare.7222172.v1
title: Additional file 3: of Holo-Seq: single-cell sequencing of holo-transcriptome

description: Table S5. Known and novel antisense transcripts identified from 10 mESC single cells. Table S6. Core and housekeeping genes displayed in Fig. 3e. Table S7. miRNAs detected in 13 mESC single cells. Table S8 snoRNAs detected in 13 mESC single cells. Table S9. tsRNAs detected in 13 mESC single cells. Table S10. List of miRNAs and their potential target genes detected in 7 mESC single cells. Table S11. Super-enhancers and their regulated master miRNA(expressed) in 7 mESC single cells. Table S12. Super-enhancers and their regulated mRNAs (expressed) in 7 mESC single cells. Table S13. miRNAs detected in 32 HCC single cells. Table S14. Six featured transcript groups in Fig. 6a. Table S15. GO term analysis of transcripts of groups 1, 3, 4, 5 in Fig. 6a. Table S16. List of miRNAs and their potential target genes detected in 32 HCC single cells. Table S17. List of oncomiRs (miR-155-5p, miR-221-5p) and their target gene pairs. Table S18. miRNAs and their target gene pairs expressed in negative correlation (p &lt; 0.05) among Exp-sub II&III. Table S19. Super-enhancers and their regulated master genes expressed in 32 HCC single cells. Table S20. Super-enhancers and their regulated master miRNAs expressed in 32 HCC single cells. Table S21. The matrix of super-enhancer regulated master miRNAs and genes’ expression correlation (Spearman r) among 32 HCC single cells. Table S22. List of gene sets in the right panel in Fig. 7b. (XLSX 2860 kb)
DOI: 10.6084/m9.figshare.25273006
title: Data.xlsx

description: Here's the data for the paper of <b>The Effect of Team Self-Leadership on Team Digital Creativity</b>
DOI: 10.6084/m9.figshare.25273006.v1
title: Data.xlsx

description: Here's the data for the paper of <b>The Effect of Team Self-Leadership on Team Digital Creativity</b>
DOI: 10.6084/m9.figshare.14562208.v1
title: Age, origin and tectonic implications of Late Carboniferous-Early Permian felsic magmatic rocks from central Inner Mongolia, south-eastern Central Asian Orogenic Belt

description: Permo-Carboniferous felsic magmatic rocks are widely exposed on the northern half of the south-eastern Central Asian Orogenic Belt. However, their origin and spatiotemporal distribution are unknown. Herein, zircon U-Pb-Hf isotopic data, major and trace element compositions of the whole-rock, and Sr-Nd isotopic data derived for felsic volcanic rocks and granites of the Chaganaobao and Baiyinaobao areas in central Inner Mongolia are combined with the data from previous studies. The integration of these results reveals that the Uliastai Continental Margin, Erenhot-Hegenshan Ophiolite Belt, and Northern Orogenic Belt have coeval magmatic lull or trough at c. 307 Ma, which overlap with the closure timing of the Hegenshan Ocean. The Latest Carboniferous−Early Permian (c. 303−295 Ma) felsic volcanic rocks in the Chaganaobao area of the Uliastai Continental Margin comprise dacite, trachydacite, and rhyolite, while demonstrating positive whole-rock ε<sub>Nd</sub>(t) (+2.9 to +4.7) and zircon ε<sub>Hf</sub>(t) values (+7.65 to +13.78). Early Permian granites of the Baiyinaobao area located within the Northern Orogenic Belt show positive ε<sub>Hf</sub>(t) values (+ 2.70 to +11.33) and low TFe<sub>2</sub>O<sub>3</sub> + MgO + TiO<sub>2</sub> contents. The geochemical composition reveals that those felsic magmatic rocks mainly originate from the partial melting of juvenile crustal components with subordinate input of mantle-derived melts. Those c. 305−275 Ma felsic magmatic rocks from the north of the south-eastern Central Asian Orogenic Belt exhibit affinities of post-collision type granites in geochemical nature. Therefore, the flare-up of the Early Permian magmatism surrounding the Erenhot-Hegenshan Ophiolite Belt could be related to the extension after the final closure of the Hegenshan Ocean.
DOI: 10.6084/m9.figshare.7222172
title: Additional file 3: of Holo-Seq: single-cell sequencing of holo-transcriptome

description: Table S5. Known and novel antisense transcripts identified from 10 mESC single cells. Table S6. Core and housekeeping genes displayed in Fig. 3e. Table S7. miRNAs detected in 13 mESC single cells. Table S8 snoRNAs detected in 13 mESC single cells. Table S9. tsRNAs detected in 13 mESC single cells. Table S10. List of miRNAs and their potential target genes detected in 7 mESC single cells. Table S11. Super-enhancers and their regulated master miRNA(expressed) in 7 mESC single cells. Table S12. Super-enhancers and their regulated mRNAs (expressed) in 7 mESC single cells. Table S13. miRNAs detected in 32 HCC single cells. Table S14. Six featured transcript groups in Fig. 6a. Table S15. GO term analysis of transcripts of groups 1, 3, 4, 5 in Fig. 6a. Table S16. List of miRNAs and their potential target genes detected in 32 HCC single cells. Table S17. List of oncomiRs (miR-155-5p, miR-221-5p) and their target gene pairs. Table S18. miRNAs and their target gene pairs expressed in negative correlation (p &lt; 0.05) among Exp-sub II&III. Table S19. Super-enhancers and their regulated master genes expressed in 32 HCC single cells. Table S20. Super-enhancers and their regulated master miRNAs expressed in 32 HCC single cells. Table S21. The matrix of super-enhancer regulated master miRNAs and genes’ expression correlation (Spearman r) among 32 HCC single cells. Table S22. List of gene sets in the right panel in Fig. 7b. (XLSX 2860 kb)
DOI: 10.6084/m9.figshare.7222214.v1
title: MOESM1 of Somatic mutations in renal cell carcinomas from Chinese patients revealed by whole exome sequencing

description: Additional file 1: Table S1. Additional table.
DOI: 10.6084/m9.figshare.7222214
title: MOESM1 of Somatic mutations in renal cell carcinomas from Chinese patients revealed by whole exome sequencing

description: Additional file 1: Table S1. Additional table.
DOI: 10.6084/m9.figshare.20329348
title: Additional file 7 of Heparanase is a prognostic biomarker independent of tumor purity and hypoxia based on bioinformatics and immunohistochemistry analysis of esophageal squamous cell carcinoma

description: Additional file 7: Table S2. Detailed characteristics of patients in the tissue microarray.
DOI: 10.15468/dl.2natto
title: Occurrence Download

description: A dataset containing 14622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Rosaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14622 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023335-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kxp9t
title: Occurrence Download

description: A dataset containing 2185422133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2185422133 records from 47498 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136791-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak6xb4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Navicula hustedtii Krasske, 1923",
 "Year 2000-2023"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000757-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ga74r
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Camargoia Moure, 1989",
 "Country is Brazil"
 ]
}

 The dataset includes 350 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002648-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qufqv9
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phellinus caryophylli (Racib.) G.Cunn."
 ]
}

 The dataset includes 121 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000769-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr58bf
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((57.62109 1.12492,100.65234 1.12492,100.65234 38.16221,57.62109 38.16221,57.62109 1.12492))",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera tigris tigris"
 ]
}

 The dataset includes 755 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054516-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sufqq
title: Occurrence Download

description: A dataset containing 126099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polypodiaceae)",
 "HasCoordinate is true",
 "Geometry POLYGON((-116 30, -116 -60, -33 -60, -33 30, -116 30))"
 ]
}

 The dataset includes 126099 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0334532-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2l9lnm
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mandevilla grata Woodson",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002648-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axuz5s
title: Occurrence Download

description: A dataset containing 3791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.94068 32.71261,6.19586 32.71261,6.19586 45.47412,-13.94068 45.47412,-13.94068 32.71261))",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded)",
 "TypeStatus is Unspecified type"
 ]
}

 The dataset includes 3791 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002613-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dw69kp
title: Occurrence Download

description: A dataset containing 3753 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros biológicos de especies de plantas del Bosque Seco en Colombia presentes en el Herbario JBGP"
 ]
}

 The dataset includes 3753 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047008-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.