cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k2rf95
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((12.916286 41.383753,12.915708 41.384083,12.915027 41.384417,12.914585 41.384711,12.913291 41.385462,12.91286 41.385697,12.912423 41.385951,12.91086 41.386729,12.910511 41.386917,12.910215 41.387053,12.909914 41.387243,12.909732 41.387371,12.909477 41.387474,12.909304 41.387534,12.909174 41.387592,12.908908 41.387732,12.908665 41.387875,12.908412 41.388024,12.907076 41.388753,12.906828 41.388883,12.906556 41.389046,12.906019 41.389352,12.905628 41.389546,12.905331 41.389668,12.904857 41.389851,12.904572 41.389991,12.904075 41.39026,12.903094 41.390766,12.902555 41.391023,12.90198 41.391313,12.901496 41.391577,12.900994 41.39186,12.900827 41.391924,12.900537 41.392064,12.89994 41.392377,12.899385 41.392716,12.898794 41.393033,12.898681 41.393073,12.898367 41.393219,12.898207 41.393282,12.898029 41.393352,12.897814 41.393426,12.897637 41.393504,12.897448 41.393592,12.897258 41.393702,12.897087 41.393802,12.896768 41.393984,12.896205 41.394251,12.895719 41.394488,12.895152 41.394755,12.89441 41.395091,12.894073 41.395233,12.89348 41.395536,12.893084 41.395734,12.89258 41.395941,12.892181 41.396089,12.891802 41.396251,12.891488 41.396383,12.89098 41.396693,12.890047 41.397206,12.88969 41.397326,12.889261 41.397458,12.88903 41.397583,12.888741 41.397732,12.888142 41.397991,12.886801 41.398559,12.885795 41.399034,12.884941 41.399405,12.884332 41.399754,12.884052 41.399831,12.883803 41.399916,12.883572 41.400032,12.883348 41.400188,12.883182 41.400279,12.882608 41.400546,12.881903 41.400858,12.881323 41.401144,12.880314 41.401578,12.879675 41.401902,12.879105 41.402128,12.878886 41.402221,12.878607 41.402329,12.8783 41.402497,12.87727 41.403045,12.875469 41.403881,12.87362 41.404704,12.873311 41.4048,12.872906 41.404944,12.872688 41.405055,12.872223 41.40521,12.871892 41.405379,12.871543 41.405539,12.871103 41.405707,12.870919 41.40575,12.870775 41.405777,12.874964 41.414163,12.875058 41.414142,12.875067 41.414184,12.87587 41.413926,12.880173 41.413682,12.885347 41.414391,12.886118 41.41447,12.887335 41.414008,12.887897 41.413889,12.889353 41.414045,12.891842 41.412765,12.896053 41.412712,12.896644 41.413047,12.897672 41.414926,12.897752 41.414986,12.897813 41.41502,12.897873 41.415041,12.897946 41.415047,12.898101 41.415015,12.899038 41.414632,12.89994 41.414236,12.902194 41.413291,12.903139 41.412939,12.90393 41.412692,12.904636 41.412434,12.907738 41.410851,12.908395 41.410541,12.908707 41.410341,12.910153 41.409369,12.910293 41.409321,12.916485 41.405066,12.920483 41.402228,12.92295 41.4003,12.929849 41.391306,12.932643 41.387816,12.933518 41.386815,12.930786 41.386694,12.921106 41.386594,12.919685 41.386329,12.918719 41.385833,12.91779 41.385081,12.916353 41.383701,12.916288 41.383753,12.916286 41.383753)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027720-230530130749713/datasets/export for details.
DOI: 10.15468/dl.hrhydh
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tillandsia mooreana L.B.Sm.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 10 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009560-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a34mvm
title: Occurrence Download

description: A dataset containing 1341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia sissoo Roxb. ex DC."
 ]
}

 The dataset includes 1341 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193288-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rftu4j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Origanum isthmicum Danin"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054400-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hscjh
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium thunbergii G.Don",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 458 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189644-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9se9hx
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aedes terrens (Walker, 1856)"
 ]
}

 The dataset includes 354 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069358-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.945czw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.6_1, CHN.HKG, CHN.MAC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plestiodon elegans (Boulenger, 1887)"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027725-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dkqvy
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pteris longipinna Hayata"
 ]
}

 The dataset includes 62 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051728-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35qdey
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aconitum sachalinense subsp. yezoense (Nakai) Kadota",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 217 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189647-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k8n28
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Origanum ehrenbergii Boiss."
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054384-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avfm9g
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Roystonea regia (Kunth) O.F.Cook",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 131 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007644-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpfsy3
title: Occurrence Download

description: A dataset listing the 26026 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squamata"
 ]
}

 The dataset's 26026 records were derived from 4506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191596-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14059341
title: Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering Education

description: Serious games are becoming increasingly popular in universities to motivate students. Therefore, more and more lecturers are using game-based learning to encourage students to learn the subject matter. However, using serious games in Software Engineering (SE) lectures at universities is rather challenging as the subject is very practice-oriented and requires special kinds of tasks, e.g., practicing programming, software modeling, etc. Thus, building serious games and integrating such SE-specific tasks is a serious technical challenge and requires immense development effort. Therefore, before developing new games, students' preferences should be analyzed to increase the chances that these games will be played. To address this issue, we conducted an empirical study with 105 students to investigate the requirements and chances for using serious games in  SE education in universities. Our analysis shows that students' preferences vary significantly and that there is no clear indication of a single game type that motivates all students equally. Therefore, our second contribution is a vision for a microservice-based Holistic Serious Game Platform for Software Engineering Education, which supports efficiently developing different serious games and integrating SE-specific mini-games and tasks. Hence, our empirical results and the presented approach support advancing research and development of serious SE games and also sensitize game developers to the needs of SE education.
DOI: 10.17632/rpd86nd5d5.1
title: Acoustic dataset of the Odeo Cornaro in Padua (Italy, 1534)

description: This dataset contains the materials for acoustic simulation of a well-preserved Renaissance music space: the Odeo Cornaro in Padua, Italy (1524 - 1534). Folders provide the 3D CAD model of the architecture (.SKP, version 2017) and the monoaural measured impulse responses (.WAV, 48 kHz 32-bit) at various listening positions in the central octagonal hall. The present repository also provides an anechoic recording of "Zoia zentil che per secreta via" excerpt from "Canzoni villanesche alla napolitana di Messer Adrian Willaert a quattro voci con la canzone di Ruzante" (Venice, Gardano, 1548). 
All the details concerning the building history, the acoustic measurements, the 3D model, the calibration procedure, the simulation approaches employed, and the final results are available in Proceedings ICA 2022 ("The coupled rooms of Odeo Cornaro as support for Renaissance musicians and soloists") and a paper under revision by Acta Acustica journal ("Acoustic analysis of a well-preserved Renaissance music space: the Odeo Cornaro in Padua").
DOI: 10.17632/tjg9426ykr.2
title: A multi-device and multi-operator dataset from mobile network coverage on Android devices

description: The demand for mobile coverage with adequate signal quality has triggered criticism due to the maturity of the Internet's diffusion in today's society. However, with the deployment of 5G networks, even 5G NSA by 4G LTE, the complexity of the operating environment of mobile networks has increased. To evaluate the behavior of mobile networks in terms of signal quality and other important metrics for mobile telephony, we developed a dataset consisting of 33 radio parameters that can collect up to 736,974 records generated daily by smartphones and tablets. To create the dataset, an application was designed for the Android operating system using the Kotlin programming language, which can collect data in real time and generate a CSV file. 
The dataset has 10 samples collected from 9 cities located on the Amazon and Negro Rivers. The complete database covering all regions has 33 columns and 736,974 rows. In addition to the primary dataset, we divided the data into three regions: the metropolitan area of Manaus, the middle Solimões River, and the middle Amazonas River. During the scheduled trips, data were collected along rivers and roads that provide access to the locations selected for the experiment. The data was processed, indexed, and organized into a comprehensive database, then categorized by location. This organization allows experiments using the entire dataset across all cities or with data specific to an individual city. To access the database and conduct initial experiments, Python scripts were developed alongside the database to facilitate data loading and the generation of histograms and charts necessary for the initial investigation. In addition to the graph generation scripts, we also created heat maps based on the collected network variables.The data is organized in a folder named “network_dataset,” which contains a list of datasets. Each dataset is named according to the device ID concatenated with the timestamp at which it was collected.The raw dataset was stored inside the mobile device, and stored in the cloud after the preprocessing steps. The collected data contains mobile network variables such as Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal-to-Noise Ratio (SNR) and Channel Quality Indicator (CQI), collected in real-time and stored on the mobile device in Comma-separated Values ​​(CSV) data format. After completing the daily collection, the device automatically sends the file to the cloud.
DOI: 10.17632/57mwc7kwds.1
title: Acceptability of minimally invasive autopsy by community members and healthcare workers in Siaya and Kisumu Counties, western Kenya, 2017-2018

description: This data is generated from a formative qualitative study that was carried out in western Kenya in 2017/2018 as part of the Child Health and Mortality Prevention Surveillance (CHAMPS) network. The data consists of transcriptions from qualitative ( FGDs, KIIs and In-depth ) interviews as well as a site-specific codebook. Most of the interviews were conducted in the local language (Dholuo), and later translated into English
DOI: 10.17632/m7vc3d4287.2
title: The pathway of SARS-CoV-2

description: Upload SI material
DOI: 10.17632/m7vc3d4287.1
title: SARS-CoV-2 uses lysosomal exocytosis and deacidified lysosomes for egress

description: Although the lifecycle of SARS-CoV-2 has been extensively studied, its egress pathway remains controversial, and the key factors influencing egress remain largely unclear. Here, we demonstrate that SARS-CoV-2 utilizes lysosomal exocytosis for egress, a process enhanced by the ORF3a protein, facilitating viral release. SARS-CoV-2 infection causes lysosome deacidification; additionally, bafilomycin A1-induced lysosome deacidification further promotes viral egress. Furthermore, we employed pH-sensitive fluorescent probes and substrates to systematically investigate how SARS-CoV-2's viral proteins affect lysosomal pH and enzymatic activities. Our findings revealed that ORF3a and E proteins induce lysosome deacidification and diminish lysosomal enzyme activities, potentially protecting progeny viruses from premature cleavage and degradation. Lysosome deacidification, primarily triggered by the ORF3a protein, potentially contributes to viral pathogenicity. Targeting ORF3a-induced lysosome deacidification and its promotion of lysosomal exocytosis emerges as a promising strategy in the development of novel antiviral therapies. This study provides mechanistic insight into how SARS-CoV-2 egresses via lysosomal exocytosis.
DOI: 10.17632/j3fjrmbzrh.1
title: Repository of atomistic simulations of GPR68

description: This public repository contains restart files and simulations used for the publication ''Protons Taken Hostage: Dynamic H-Bond Network of pH-sensing GPR68".
Authors: Bhav Kapur, Filippo Baldessari, Michalis Lazaratos, Herbert Nar, Gisela Schnapp, Alejandro Giorgetti, Ana-Nicoleta Bondar.

Contents

The repository includes:

1. Simulation data: Atomistic NAMD simulation files (.dcd), protein structure files (.psf) and protein data bank files (.pdb) and restart files for GPR68 structural model (1µs), GPR68 Structural Model in 10% Cholesterol (600ns) and 9 different protonation simulations (600ns each) using the best GPR68 model. Note: The trajectory files (.dcd) in this repository were written every 1ns and only the last 100ns from all the simulations have been uploaded.

2. The nine structural models described in the manuscript.

3. Sequence Alignment files for Figure 1B of the manuscript, proton-sensing GPCRs (GPR68, GPR4, GPR65, GPR132, GPR31, and GPR151), and whole class A GPCR family (312 sequences).

Contact

For questions regarding the repository, or to request additional coordinate sets from the simulation trajectories reported in the paper, please contact the repository owner at bhav.kapur@boehringer-ingelheim.com or bhav.kapur@gmail.com.
DOI: 10.17632/s8ffsx5k8n.1
title: LDHU3_11.1450

description: SKP1-like protein; Leishmania donovani (HU3 strain)
DOI: 10.5281/zenodo.13990113
title: Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering Education

description: Serious games are becoming increasingly popular in universities to motivate students. Therefore, more and more lecturers are using game-based learning to encourage students to learn the subject matter. However, using serious games in Software Engineering (SE) lectures at universities is rather challenging as the subject is very practice-oriented and requires special kinds of tasks, e.g., practicing programming, software modeling, etc. Thus, building serious games and integrating such SE-specific tasks is a serious technical challenge and requires immense development effort. Therefore, before developing new games, students' preferences should be analyzed to increase the chances that these games will be played. To address this issue, we conducted an empirical study with 105 students to investigate the requirements and chances for using serious games in  SE education in universities. Our analysis shows that students' preferences vary significantly and that there is no clear indication of a single game type that motivates all students equally. Therefore, our second contribution is a vision for a microservice-based Holistic Serious Game Platform for Software Engineering Education, which supports efficiently developing different serious games and integrating SE-specific mini-games and tasks. Hence, our empirical results and the presented approach support advancing research and development of serious SE games and also sensitize game developers to the needs of SE education.
DOI: 10.5281/zenodo.14094691
title: Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering Education

description: Serious games are becoming increasingly popular in universities to motivate students. Therefore, more and more lecturers are using game-based learning to encourage students to learn the subject matter. However, using serious games in Software Engineering (SE) lectures at universities is rather challenging as the subject is very practice-oriented and requires special kinds of tasks, e.g., practicing programming, software modeling, etc. Thus, building serious games and integrating such SE-specific tasks is a serious technical challenge and requires immense development effort. Therefore, before developing new games, students' preferences should be analyzed to increase the chances that these games will be played. To address this issue, we conducted an empirical study with 105 students to investigate the requirements and chances for using serious games in  SE education in universities. Our analysis shows that students' preferences vary significantly and that there is no clear indication of a single game type that motivates all students equally. Therefore, our second contribution is a vision for a microservice-based Holistic Serious Game Platform for Software Engineering Education, which supports efficiently developing different serious games and integrating SE-specific mini-games and tasks. Hence, our empirical results and the presented approach support advancing research and development of serious SE games and also sensitize game developers to the needs of SE education.
DOI: 10.15468/dl.vf37va
title: Occurrence Download

description: A dataset containing 1033871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ranunculus acris L."
 ]
}

 The dataset includes 1033871 records from 3197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073106-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbby5n
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliosperma veselskyi Janka"
 ]
}

 The dataset includes 100 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018965-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.del8nr
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus pungens Liebm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015309-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57rftd
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Maytenus senegalensis (Lam.) Exell"
 ]
}

 The dataset includes 165 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034679-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q69b84
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Congresox talabon (Cuvier, 1829)"
 ]
}

 The dataset includes 61 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034568-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xi9yez
title: Occurrence Download

description: A dataset containing 1751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isatis tinctoria L.",
 "Country is Germany"
 ]
}

 The dataset includes 1751 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015310-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.