cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/54z-75k-qk5
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fpa-nfv-kpe
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1bc-1wd-6ms
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c8z-fw8-7sp
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/92c-qar-tjb
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e07-t7q-zfs
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/37k-4l5-zb4
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/g9v-2e2-brl
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kxd-ssq-hha
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/06w-j31-102
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3nc-0zt-w2e
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/emw-xdx-2es
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yac-594-d76
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/98n-6sh-ejt
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/btr-hpq-3mk
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cmv-vej-fz0
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7e8-9r6-eqf
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xwj-pf1-tth
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2ft-jyd-car
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zgk-5d1-sl2
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8kw-jwv-mh0
title: Sikhote-Alin meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.13021/mars/14184
title: George Mason University Arlington Campus Library Instruction Survey

description: To access this dataset, go to https://doi.org/10.13021/orc2020/NNMTBM. This record replaces an earlier dataset available at http://hdl.handle.net/1920/8393.
description: Data and survey instrument from an assessment of library instruction needs among graduate students in the social sciences at George Mason University's Arlington Campus.
DOI: 10.15468/dl.mvutyv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contarinia texana (Felt, 1921)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014757-250310093411724/datasets/export for details.
DOI: 10.6084/m9.figshare.25634289
title: A Team Cognition Measurement Method for Single Pilot Operations Human-Machine System Design

description: Team cognition is an important indicator to reflect the trend of single pilot operation (SPO) human-machine system team performance. How to measure team cognition to explore different function allocation decisions before the implementation of prototypes or simulators has become a significant step in the early SPO human-machine system design. Therefore, this article proposed a team cognition measurement method based on the social network analysis (SNA) method, namely cognitive social network analysis (CSNA). The CSNA method firstly identified the nodes, edge directions and channel resource values of each task; secondly calculated the cognitive demands of each task based on multiple resource theory; thirdly summed the cognitive demands of the same task to construct the association matrix; and finally calculated global and nodal network metrics. The results of the study showed that (1) the CSNA method could identify design flaws of the initial SPO human-machine system; (2) the CSNA method increased the ability to identify the changes in both the cognitive demands of tasks and the overall workloads of human agents compared to the SNA method; (3) the CSNA method could help researchers make reasonable design suggestions to improve the team performance of the redesigned SPO human-machine system. The above results not only verify the feasibility of the CSNA method, but also show that the CSNA method is superior to the current SNA method.
DOI: 10.6084/m9.figshare.25772282
title: Negative Emotional Value of Players: Exploring the Time Investment Dimension from Chinese Mobile Game Players’ Reviews

description: This study delved into the concept of “time investment” by examining negative comments from players. It conducted a comprehensive analysis of how time investment and external motivation influence players’ emotional experiences, drawing from self-determination theory (SDT). Nonetheless, there has been limited exploration of the origins and significance of players’ negative emotions. The study employed a mixed-methods approach. Initially, it constructed a radar chart representing time investment by analyzing textual reviews from Chinese players across six distinct mobile game types and creating thematic models with BERTopic. Subsequently, the initial machine learning results were confirmed through a questionnaire survey (<i>n</i> = 1028), resulting in the identification of five primary time investment dimensions: in-game experience time investment, learning time investment, social time investment, emotional time investment, and economic time investment. The study unveils the impact of external motivation on players’ emotions and assessments, all from the viewpoint of players. It also offers an expanded perspective within SDT for the exploration of external motivation. The findings present a fresh theoretical outlook and research framework for game designers and the human–computer interaction (HCI) field. Additionally, they offer new insights into the concept of time as perceived by players.
DOI: 10.6084/m9.figshare.25772282.v1
title: Negative Emotional Value of Players: Exploring the Time Investment Dimension from Chinese Mobile Game Players’ Reviews

description: This study delved into the concept of “time investment” by examining negative comments from players. It conducted a comprehensive analysis of how time investment and external motivation influence players’ emotional experiences, drawing from self-determination theory (SDT). Nonetheless, there has been limited exploration of the origins and significance of players’ negative emotions. The study employed a mixed-methods approach. Initially, it constructed a radar chart representing time investment by analyzing textual reviews from Chinese players across six distinct mobile game types and creating thematic models with BERTopic. Subsequently, the initial machine learning results were confirmed through a questionnaire survey (<i>n</i> = 1028), resulting in the identification of five primary time investment dimensions: in-game experience time investment, learning time investment, social time investment, emotional time investment, and economic time investment. The study unveils the impact of external motivation on players’ emotions and assessments, all from the viewpoint of players. It also offers an expanded perspective within SDT for the exploration of external motivation. The findings present a fresh theoretical outlook and research framework for game designers and the human–computer interaction (HCI) field. Additionally, they offer new insights into the concept of time as perceived by players.
DOI: 10.6084/m9.figshare.25888880
title: Thermodynamics assessment of the Erbium-Ruthenium system by combining the Ab-initio and CALPHAD methods

description: In the present study, the erbium-ruthenium system was optimised using the CALPHAD approach. The thermodynamic properties and the phase diagram were evaluated. The enthalpies of formation of the intermetallic compounds for the binary system Er-Ru were calculated by ab- initio methods. The liquid phase was treated with the exponential model, while a solution model was applied to represent the HCP (Er, Ru) solid solution. The five intermetallic compounds Er<sub>3</sub>Ru, Er<sub>5</sub>Ru<sub>2</sub>, Er<sub>3</sub>Ru<sub>2</sub>, ErRu<sub>2</sub>, and Er<sub>44</sub>Ru<sub>25</sub> were considered as stoichiometric compounds. The calculations are in good agreement with the phase diagram information and experimental thermodynamic values documented in the literature.
DOI: 10.6084/m9.figshare.25888880.v1
title: Thermodynamics assessment of the Erbium-Ruthenium system by combining the Ab-initio and CALPHAD methods

description: In the present study, the erbium-ruthenium system was optimised using the CALPHAD approach. The thermodynamic properties and the phase diagram were evaluated. The enthalpies of formation of the intermetallic compounds for the binary system Er-Ru were calculated by ab- initio methods. The liquid phase was treated with the exponential model, while a solution model was applied to represent the HCP (Er, Ru) solid solution. The five intermetallic compounds Er<sub>3</sub>Ru, Er<sub>5</sub>Ru<sub>2</sub>, Er<sub>3</sub>Ru<sub>2</sub>, ErRu<sub>2</sub>, and Er<sub>44</sub>Ru<sub>25</sub> were considered as stoichiometric compounds. The calculations are in good agreement with the phase diagram information and experimental thermodynamic values documented in the literature.
DOI: 10.60797/irj.2025.153.119.1
title: Характеристика направлений в психологии к пониманию механизма психической энергии

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.120.2
title: Средние диапазоны превышения ПДК, в воде рек в среднем и нижнем течении в 2023 году

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.123.1
title: Компетенции и трудовые функции для различных категорий обучающихся

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.5281/zenodo.14203988
title: LOCKED: A dataset of sociodemographic, economic, living, and health features to measure the impact of the Spanish lockdown during COVID-19 on mental health conditions

description: A dataset aimed at enhancing the understanding of the mental health effects of the COVID-19 lockdown in Spain. This dataset serves as a valuable resource by integrating psychological assessments, such as the SA-45 pyschological test, with comprehensive socioeconomic, living, and health-related information. By combining these diverse data points, the dataset enables researchers to analyze how various invidual factors influenced nine mental health conditions during the lockdown, providing a robust foundation for further studies on this critical topic.
DOI: 10.13021/mars/14187
title: Replication data for: Determinants of Exclusive Breastfeeding in Rural Kenya, 2013

description: To access this dataset, go to https://doi.org/10.13021/orc2020/UUFXQZ.
description: Data from a cross-sectional survey conducted among 400 mothers of children, 0-24 months old, in rural Kenya. Data includes information on early child-feeding practices, knowledge of breastfeeding recommendations, beliefs associated with exclusive breastfeeding, socio-economic status and demographic characteristics.
DOI: 10.5281/zenodo.15044815
title: LOCKED: A dataset of sociodemographic, economic, living, and health features to measure the impact of the Spanish lockdown during COVID-19 on mental health conditions

description: A dataset aimed at enhancing the understanding of the mental health effects of the COVID-19 lockdown in Spain. This dataset serves as a valuable resource by integrating psychological assessments, such as the SA-45 pyschological test, with comprehensive socioeconomic, living, and health-related information. By combining these diverse data points, the dataset enables researchers to analyze how various invidual factors influenced nine mental health conditions during the lockdown, providing a robust foundation for further studies on this critical topic.
DOI: 10.17034/f771a0f6-7aa9-43d9-89e0-15856a22ee05
title: Dataset for "Biomimetic elastomer-clay nanocomposite hydrogels with control of biological chemicals for soft tissue engineering and wound healing"

description: This dataset underpins the journal article "Biomimetic elastomer-clay nanocomposite hydrogels with control of biological chemicals for soft tissue engineering and wound healing" published by ACS Applied Bio Materials.
DOI: 10.1021/acsabm.4c01944

Article Title: Biomimetic elastomer-clay nanocomposite hydrogels with control of biological chemicals for soft tissue engineering and wound healing
Article authors: Sungkwon Yoon & Biqiong Chen
Article DOI: 10.1021/acsabm.4c01944

Abstract for paper:
Resilient hydrogels are of great interest in soft tissue applications, such as soft tissue engineering and wound healing, with their biomimetic mechanical and hydration properties. A critical aspect in designing hydrogels for healthcare is their functionalities to control the surrounding biological environments to optimize the healing process. Herein, we have created an elastomer–clay nanocomposite hydrogel system with biomimetic mechanical behavior and sustained drug delivery of bioactive components and malodorous diamine-controlling properties. These hydrogels were prepared by a combined approach of melt intercalation of poly(ethylene glycol) and montmorillonite clay, followed by in situ cross-linking with a branched poly(glycerol sebacate) prepolymer. The hydration, vapor transmission, and surface wettability of the hydrogels were readily controlled by varying the clay content. Their mechanical properties were also modulated to mimic the Young’s moduli (ranging between 12.6 and 105.2 kPa), as well as good flexibility and stretchability of soft tissues. A porous scaffold with interconnected pore structures as well as full and instant shape recovery was fabricated from a selected nanocomposite to demonstrate its potential applications as soft tissue scaffolds and wound healing materials. Biodegradability and biocompatibility were tested in vitro, showing controllable degradation kinetics with clay and no evidence of cytotoxicity. With the high surface area and absorption capacity of the clay, sustained drug delivery of a proangiogenic agent of 17β-estradiol as a model drug and the ability to control the malodorous diamines were both achieved. This elastomer–clay nanocomposite hydrogel system with a three-dimensional interconnected porous scaffold architecture and controllable hydration, mechanical, and biodegradable properties, as well as good biocompatibility and the ability to control the biological chemical species of the surrounding environments, has great potential in soft tissue engineering and wound healing.

Information about dataset can be discovered in zip file. It contains xlsx files and a readme file.
DOI: 10.15468/dl.22vtt6
title: Occurrence Download

description: A dataset containing 8657 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lacerta schreiberi Bedriaga, 1878"
 ]
}

 The dataset includes 8657 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014758-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tmptz5
title: Occurrence Download

description: A dataset containing 8470193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phasianus colchicus Linnaeus, 1758, Podarcis muralis (Laurenti, 1768), Populus ×canadensis Moench, Prunus cerasifera Ehrh., Prunus domestica L., Prunus laurocerasus L., Prunus serotina Ehrh., Pseudotsuga menziesii (Mirb.) Franco, Psittacula krameri (Scopoli, 1769), Pyrus communis L., Quercus rubra L., Reynoutria japonica Houtt., Robinia pseudoacacia L., Rosa rugosa Thunb., Sciurus vulgaris Linnaeus, 1758, Senecio inaequidens DC., Senecio vernalis Waldst. & Kit., Solidago canadensis L., Solidago gigantea Aiton, Symphoricarpos albus (L.) K.Koch, Syringa vulgaris L., Tadorna ferruginea (Pallas, 1764), Talpa europaea Linnaeus, 1758, Tanacetum parthenium (L.) Sch.Bip., Thymus praecox Opiz, Trifolium hybridum L., Trifolium incarnatum L., Veronica filiformis Sm., Veronica persica Poir., Viburnum rhytidophyllum Hemsl. ex Forbes & Hemsl., Vicia sativa L., Vicia villosa Roth, Zoropsis spinimana (Dufour, 1820))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON (( -30 25 , 40 25 , 40 78 , -30 78 , -30 25 ))"
 ]
}

 The dataset includes 8470193 records from 10984 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014751-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9grn2
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "TaxonKey is Parnassius nomion Fischer De Waldheim, 1823",
 "Year 2004-2024"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044108-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k36ndc
title: Occurrence Download

description: A dataset containing 28978 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostemma githago L."
 ]
}

 The dataset includes 28978 records from 408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094796-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8yet4
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bocageopsis canescens (Spruce ex Benth.) R.E.Fr."
 ]
}

 The dataset includes 190 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048324-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ncv97
title: Occurrence Download

description: A dataset containing 44466 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium schoenoprasum L."
 ]
}

 The dataset includes 44466 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102420-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt3ut5
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus brevirostris Tanaka, 1917",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069250-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptxmp8
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gyptis pinnatifida Cass."
 ]
}

 The dataset includes 572 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235336-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdbhz7
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moschus berezovskii Flerov, 1929"
 ]
}

 The dataset includes 141 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069252-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f6py4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave galvaniae (A.Castañeda, S.Franco & García-Mend.) Etter & Kristen"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019020-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3d7x6
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is one of (Selaginella vaginata Spring, Selaginella compta Hand.-Mazz.)"
 ]
}

 The dataset includes 278 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011298-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utwxue
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnadenia ×turnowskyi (W.Foelsche) W.Foelsche"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234523-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.