cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4277813
title: Students' satisfaction with service quality in higher education institutions: the perspective of students' expectations and perceptions in Tanzania

description: The main study from which these datasets were extracted was conducted through pragmatic approach, where quantitative and qualitative data were collected. A cross-sectional survey design was employed to collect data from one selected Higher Education Institution in Tanzania. Questionnaires with seven Likert-like scales were used to collect data on students’ ratings on expectations, perceptions and satisfaction on service quality in Higher Education and intentions to re-enroll to the same Higher Education. The first year and finalist students were selected through cluster sampling of students pursuing different degree programs. The intent of the study was to examine the perceived differences of students’ expectations, perceptions and satisfaction based on differences of demographic characteristics. The collected data were initially analyzed by conducting Confirmatory Factor Analysis (CFA) to identify dimensions that determine service quality in Higher Education. In addition, Multi Linear Regression Analyses were conducted to examine the linear relation between quantitative (continuous) response variable and one or more independent variables. This was performed to study the relationship between several independent variables and each of the <strong>factors produced from factor analysis</strong>. Demographic characteristics such as mode of parenting, education level, and economic status, and schooling background, year of study and degree programme (specialization) were used as independent (continuous) variables while the two factors produced in CFA were used as dependent variables. Final data for interpretation were transformed into Tables with parameter estimates and standard errors of linear regression model for expectations, perceptions, satisfaction and intentions.
description: I would like to acknowledge and convey my sincere thanks to Kalafunja M. Osaki, my supervisor and a retired Professor of the University of Dodoma for his unconditional mentoring support and incredible thoughtful criticisms. My special thanks goes to Dr. Emamanuel Kilatu an academic staff at The University of Dodoma, Tanzania for editing my manuscript. In addition, I acknowledge both the University of Dodoma and Tanzania Higher Education Students' Loans Board (HESLB) for financial support during my PhD study from which these Datasets have been extracted.
DOI: 10.5517/ccdc.csd.cc23v4pt
title: CCDC 1961546: Experimental Crystal Structure Determination

description: Related Article: Shanhe Li, Muhammad Hamid Khan, Xiaojun Wang, Meiling Cai, Juzheng Zhang, Ming Jiang, Zhenlei Zhang, Xiao-an Wen, Hong Liang, Feng Yang|2020|Dalton Trans.|49|17207|doi:10.1039/D0DT02266G
DOI: 10.5281/zenodo.4277812
title: Students' satisfaction with service quality in higher education institutions: the perspective of students' expectations and perceptions in Tanzania

description: The main study from which these datasets were extracted was conducted through pragmatic approach, where quantitative and qualitative data were collected. A cross-sectional survey design was employed to collect data from one selected Higher Education Institution in Tanzania. Questionnaires with seven Likert-like scales were used to collect data on students’ ratings on expectations, perceptions and satisfaction on service quality in Higher Education and intentions to re-enroll to the same Higher Education. The first year and finalist students were selected through cluster sampling of students pursuing different degree programs. The intent of the study was to examine the perceived differences of students’ expectations, perceptions and satisfaction based on differences of demographic characteristics. The collected data were initially analyzed by conducting Confirmatory Factor Analysis (CFA) to identify dimensions that determine service quality in Higher Education. In addition, Multi Linear Regression Analyses were conducted to examine the linear relation between quantitative (continuous) response variable and one or more independent variables. This was performed to study the relationship between several independent variables and each of the <strong>factors produced from factor analysis</strong>. Demographic characteristics such as mode of parenting, education level, and economic status, and schooling background, year of study and degree programme (specialization) were used as independent (continuous) variables while the two factors produced in CFA were used as dependent variables. Final data for interpretation were transformed into Tables with parameter estimates and standard errors of linear regression model for expectations, perceptions, satisfaction and intentions.
description: I would like to acknowledge and convey my sincere thanks to Kalafunja M. Osaki, my supervisor and a retired Professor of the University of Dodoma for his unconditional mentoring support and incredible thoughtful criticisms. My special thanks goes to Dr. Emamanuel Kilatu an academic staff at The University of Dodoma, Tanzania for editing my manuscript. In addition, I acknowledge both the University of Dodoma and Tanzania Higher Education Students' Loans Board (HESLB) for financial support during my PhD study from which these Datasets have been extracted.
DOI: 10.21258/1567623
title: Inventaire forestier national suisse - Tableau no 899192
DOI: 10.21258/1567987
title: Inventaire forestier national suisse - Tableau no 897649
DOI: 10.21258/1579017
title: Inventario forestale nazionale svizzero - Tabella n. 897458
DOI: 10.21227/wzed-5e67
title: Memory Dumps Cloud Forensics

description: The dataset contains memory dump data which is generated continuously. For the experiment wecarried out, we implemented the volatile data dump module which generated around 360 VM memorydump images of average size 1GB each. These data files are compressed to 79.5GB memory evidencedataset. Out of these preserved and stored memory dump dataset, 79 files of size 17.3GB weregenerated during the attack. This means the data 21.76% of data (in size) is potential evidence and thiscan improve the storage and the processing time during the forensics investigation. However, thesestatistics only depicts the current scenario of the simulation and subject to change as per the attackduration.Table 1 Bifurcation of the evidence dataSr No Description Number ofMemory DumpsCompressed Sizein GB1 Data generated incloud 360 79.52 Data generatedduring Attack 78 17.3
DOI: 10.21258/1601931
title: Inventario forestale nazionale svizzero - Tabella n. 892018
DOI: 10.5281/zenodo.4263896
title: Dataframe - Posts-Instagram-Torrevieja-Colores dominantes

description: Una base de datos con extracción de colores dominantes de los post de instagram en torrevijea
DOI: 10.5281/zenodo.4263895
title: Dataframe - Posts-Instagram-Torrevieja-Colores dominantes

description: Una base de datos con extracción de colores dominantes de los post de instagram en torrevijea
DOI: 10.5281/zenodo.4255246
title: SUPPLIMENTARY Dataset - A STUDY ON STATISTICAL MODELLING ON RECOVERY INFORMATICS OF COVID19

description: Collection of data – a set of data of number of days with seven days interval vs number of recovered cases with effect from 7th September – 25th October ,2020 .Active Covid cases with respect to Sept,7 to Oct ,25 -2020 in India . Retrieved from -Sharpest weekly fall as cases down 16%, toll 19% | Man hits docs over Covid death, -Oct 26, 2020, ethealthworld.com. ( data report ) .The above dataset is converted in terms of number of Recovered Covid-cases with respect .Data Informatics Tool : Standard Statistical Software Curve Expert v.1.4 .
description: {"references": ["https://www.academia.edu/44413464/SUPPLIMENTARY_RESOURCES_Health_Statistics_Applied _To_Covid19_Recovery_kinetics"]}
DOI: 10.5281/zenodo.4255245
title: SUPPLIMENTARY Dataset - A STUDY ON STATISTICAL MODELLING ON RECOVERY INFORMATICS OF COVID19

description: Collection of data – a set of data of number of days with seven days interval vs number of recovered cases with effect from 7th September – 25th October ,2020 .Active Covid cases with respect to Sept,7 to Oct ,25 -2020 in India . Retrieved from -Sharpest weekly fall as cases down 16%, toll 19% | Man hits docs over Covid death, -Oct 26, 2020, ethealthworld.com. ( data report ) .The above dataset is converted in terms of number of Recovered Covid-cases with respect .Data Informatics Tool : Standard Statistical Software Curve Expert v.1.4 .
description: {"references": ["https://www.academia.edu/44413464/SUPPLIMENTARY_RESOURCES_Health_Statistics_Applied _To_Covid19_Recovery_kinetics"]}
DOI: 10.5281/zenodo.4122041
title: Meneame news dataset

description: This dataset contains a list of news published in Meneame.net between 2020-10-17 and 2020-10-20.
description: -
DOI: 10.5281/zenodo.4122040
title: Meneame news dataset

description: This dataset contains a list of news published in Meneame.net between 2020-10-17 and 2020-10-20.
description: -
DOI: 10.21258/1600893
title: Inventario forestale nazionale svizzero - Tabella n. 898787
DOI: 10.21258/1581660
title: Inventario forestale nazionale svizzero - Tabella n. 898047
DOI: 10.21258/1531713
title: Inventaire forestier national suisse - Tableau no 893450
DOI: 10.5281/zenodo.4264746
title: Vocal drum sounds in Human Beatboxing: an acoustic and articulatory exploration using electromagnetic articulography

description: This dataset constitutes the supplementary material of a paper in review in the Journal of the Acoustical Society of America (JASA)
DOI: 10.21258/1578604
title: Inventario forestale nazionale svizzero - Tabella n. 892900
DOI: 10.21258/1581348
title: Inventario forestale nazionale svizzero - Tabella n. 902249
DOI: 10.21258/1569695
title: Inventaire forestier national suisse - Tableau no 891761
DOI: 10.6084/m9.figshare.13379459
title: Supplementary Material for: Time Trends in Intracerebral Hemorrhage Associated with Oral Anticoagulation and Its Risks Factors in Spain from 2008 to 2015

description: <b><i>Background:</i></b> Intracerebral hemorrhage (ICH) is 7- to 10-fold higher in anticoagulated patients. Given the more extended use of oral anticoagulants, an increase in the prevalence of ICH associated with oral anticoagulation (ICH-OAC) could be expected. However, there is no previous study that assesses the time trends of ICH-OAC in Spain. <b><i>Methods:</i></b> We conducted a combined data analysis after creating a joint database of the 3 most important epidemiological studies on ICH-OAC of our country: the EPICES study (2008–2009), the TAC Registry (TR) study (2012–2013) and the TAC Registry 2 (TR2) study (2015). We finally included 65, 235, and 366 patients from the EPICES, TR, and TR2 studies, respectively. <b><i>Results:</i></b> We have observed a 3.73-fold increase in the crude annual incidence of ICH-OAC throughout the period of study, with proportion of ICH-OAC out of total ICH increasing from 8.4% in 2008 to 18.2% in 2015. Age, dyslipidemia, and prior antiplatelet treatment increased during the study, but we found no statistically significant differences in other risk factors for ICH-OAC. <b><i>Conclusions:</i></b> The incidence of ICH-OAC is increasing in our country. It might at least be partly explained by aging of the population, with mean age at presentation being higher in the last years.
DOI: 10.6084/m9.figshare.13379459.v1
title: Supplementary Material for: Time Trends in Intracerebral Hemorrhage Associated with Oral Anticoagulation and Its Risks Factors in Spain from 2008 to 2015

description: <b><i>Background:</i></b> Intracerebral hemorrhage (ICH) is 7- to 10-fold higher in anticoagulated patients. Given the more extended use of oral anticoagulants, an increase in the prevalence of ICH associated with oral anticoagulation (ICH-OAC) could be expected. However, there is no previous study that assesses the time trends of ICH-OAC in Spain. <b><i>Methods:</i></b> We conducted a combined data analysis after creating a joint database of the 3 most important epidemiological studies on ICH-OAC of our country: the EPICES study (2008–2009), the TAC Registry (TR) study (2012–2013) and the TAC Registry 2 (TR2) study (2015). We finally included 65, 235, and 366 patients from the EPICES, TR, and TR2 studies, respectively. <b><i>Results:</i></b> We have observed a 3.73-fold increase in the crude annual incidence of ICH-OAC throughout the period of study, with proportion of ICH-OAC out of total ICH increasing from 8.4% in 2008 to 18.2% in 2015. Age, dyslipidemia, and prior antiplatelet treatment increased during the study, but we found no statistically significant differences in other risk factors for ICH-OAC. <b><i>Conclusions:</i></b> The incidence of ICH-OAC is increasing in our country. It might at least be partly explained by aging of the population, with mean age at presentation being higher in the last years.
DOI: 10.21227/rmvd-fh71
title: Memory Dumps of Virtual Machines for Cloud Forensics

description: The dataset contains memory dump data which is generated continuously. For the experiment we carried out, we implemented the volatile data dump module which generated around 360 VM memory dump images of average size 800Mb each (Total 288GB). These data files are compressed using gzip utility. Further zipped to 79.5GB one single file of memory evidence.
DOI: 10.21258/1566418
title: Inventaire forestier national suisse - Tableau no 896950
DOI: 10.21258/1584708
title: Inventario forestale nazionale svizzero - Tabella n. 893458
DOI: 10.21258/1568102
title: Inventaire forestier national suisse - Tableau no 891781
DOI: 10.21258/1568553
title: Inventaire forestier national suisse - Tableau no 897338
DOI: 10.21258/1571257
title: Inventaire forestier national suisse - Tableau no 891856
DOI: 10.21258/1598089
title: Inventario forestale nazionale svizzero - Tabella n. 897418
DOI: 10.21258/1577888
title: Inventario forestale nazionale svizzero - Tabella n. 897774
DOI: 10.21258/1564551
title: Inventaire forestier national suisse - Tableau no 899213
DOI: 10.21258/1617503
title: Inventario forestale nazionale svizzero - Tabella n. 897906
DOI: 10.17866/rd.salford.8226251.v2
title: ITEM 2: Research Timeline

description: Research timeline<br>
DOI: 10.17866/rd.salford.13378985.v1
title: READ FIRST: Vital Signs

description: Read first document describing sequence in which to engage with portfolio
DOI: 10.21258/1616557
title: Inventario forestale nazionale svizzero - Tabella n. 891802
DOI: 10.21258/1552373
title: Inventaire forestier national suisse - Tableau no 893069
DOI: 10.6084/m9.figshare.13379585
title: Supplementary Material for: A Three-Arm Randomized Clinical Trial Comparing the Efficacy of a Mindfulness-Based Intervention with an Active Comparison Group and Fluoxetine Treatment for Adults with Generalized Anxiety Disorder

description: <b><i>Introduction:</i></b> Mindfulness-based interventions have been studied as an alternative treatment for anxiety disorders, but there are only a few studies comparing these with established treatments. <b><i>Objective:</i></b> To evaluate the efficacy of a Body in Mind Training (BMT) program for adults with generalized anxiety disorder (GAD), an active comparison protocol called Quality of Life and Psychoeducation (QoL), and treatment with fluoxetine (FLX). <b><i>Methods:</i></b> This study comprises a 3-arm parallel-group, randomized clinical trial (ClinicalTrials.gov ID: NCT03072264). Adults with a primary diagnosis of GAD and no current treatment were recruited from the community and randomized in a ratio 1:1:1. The primary outcomes were assessed by means of the Hamilton Anxiety Rating Scale (HAM-A) and the Penn State Worry Questionnaire (PSWQ) at week 8. Data were analyzed using a superiority analysis (BMT vs. QoL) and a noninferiority analysis (BMT vs. FLX). <b><i>Results:</i></b> A total of 249 participants were included and 223 were analyzed (76 BMT, 79 FLX, and 68 QoL). All groups improved after intervention. However, BMT was not superior to QoL at week 8 (mean difference = –1.36; <i>p</i> = 0.47), nor was it noninferior to FLX as assessed with theHAM-A (mean difference = 3.5; 95% CI –0.06 to 7.06; noninferiority margin = –2.43; <i>p</i> = 0.054). QoL (mean difference = 3.54; <i>p</i> = 0.04) and FLX (mean difference = –7.72; 95% CI –10.89 to –4.56; noninferiority margin = –2.09; <i>p</i> &lt; 0.001) were superior to BMT in reducing PSWQ score. <b><i>Conclusion:</i></b> Our data suggest that BMT, in its current format, cannot be considered an effective mindfulness protocol to improve GAD.
DOI: 10.21258/1601643
title: Inventario forestale nazionale svizzero - Tabella n. 896917
DOI: 10.21258/1582394
title: Inventario forestale nazionale svizzero - Tabella n. 893019
DOI: 10.21258/1625634
title: Inventario forestale nazionale svizzero - Tabella n. 897179
DOI: 10.21258/1585620
title: Inventario forestale nazionale svizzero - Tabella n. 891982
DOI: 10.21258/1545701
title: Inventaire forestier national suisse - Tableau no 891674
DOI: 10.21258/1575929
title: Inventaire forestier national suisse - Tableau no 897072
DOI: 10.5281/zenodo.4322920
title: Data sets for compound promiscuity analysis and predictions

description: Deposited are three data sets containing compounds with multi- or single-target activity, which were assembled from the PubChem BioAssay database for promiscuity predictions [1]. The design and composition of these data sets are described in the original publication [1] and a forthcoming data note detailing the deposition. A brief summary of the data structure is provided in the readme.txt file accompanying the data sets.
description: {"references": ["[1] Feldmann, C.; Yonchev, D.; Bajorath, J. Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning. Biomolecules 2020, 10, 1605."]}
DOI: 10.21258/1581729
title: Inventario forestale nazionale svizzero - Tabella n. 897158
DOI: 10.21258/1592871
title: Inventario forestale nazionale svizzero - Tabella n. 897332
DOI: 10.21258/1611125
title: Inventario forestale nazionale svizzero - Tabella n. 899155
DOI: 10.21258/1533931
title: Inventaire forestier national suisse - Tableau no 898139
DOI: 10.21258/1546493
title: Inventaire forestier national suisse - Tableau no 899249
DOI: 10.21258/1618836
title: Inventario forestale nazionale svizzero - Tabella n. 898963
DOI: 10.21258/1580234
title: Inventario forestale nazionale svizzero - Tabella n. 893003
DOI: 10.21258/1566258
title: Inventaire forestier national suisse - Tableau no 898839
DOI: 10.21258/1544399
title: Inventaire forestier national suisse - Tableau no 899042
DOI: 10.5281/zenodo.4322913
title: Stem trichome mRNA-Seq from lycopersicum x habrochaites crosses (Parents and F1)

description: <strong>Stem trichome mRNA-Seq datasets from different crossing materials.</strong> Genetic material Obtained from ENZA Zaden. The pollen from <em>S. habrochaites</em> LA1777 or PI127826 was placed on the pistil of <em>S. lycopersicum to obtain </em>interspecific crosses. The pollen of <em>S. habrochaites</em> LA1777 was placed on the pistil of PI127826 to obtain <em>S. habrochaites</em> F1. <strong>Sample collection</strong> .... <strong>Total RNA isolation</strong> <strong>....</strong> <strong>Sequencing </strong> ... Sample table <pre><code class="language-markdown">| sample | species | cross | |--------------------- |--------------------------------------- |---------- | | 14865_PI127826_F1 | S. lycopersicum x S. habrochaites | F1 | | LA1777_4 | S. habrochaites | Parent | | LA1777_F1_3 | S. lycopersicum x S. habrochaites | F1 | | LA1777_P1_Cv_4 | S. lycopersicum | Parent | | PI26_P1_cv_i | S. lycopersicum | Parent | | PI26_P2_w_4 | S. habrochaites f. hirsutum | Parent | | PI26xLA1777_F1_J | S. habrochaites | F1 |</code></pre>
DOI: 10.5281/zenodo.3603229
title: Stem trichome mRNA-Seq from lycopersicum x habrochaites crosses (Parents and F1)

description: <strong>Stem trichome mRNA-Seq datasets from different crossing materials.</strong> Genetic material Obtained from ENZA Zaden. The pollen from <em>S. habrochaites</em> LA1777 or PI127826 was placed on the pistil of <em>S. lycopersicum to obtain </em>interspecific crosses. The pollen of <em>S. habrochaites</em> LA1777 was placed on the pistil of PI127826 to obtain <em>S. habrochaites</em> F1. <strong>Sample collection</strong> .... <strong>Total RNA isolation</strong> <strong>....</strong> <strong>Sequencing </strong> ... Sample table <pre><code class="language-markdown">| sample | species | cross | |--------------------- |--------------------------------------- |---------- | | 14865_PI127826_F1 | S. lycopersicum x S. habrochaites | F1 | | LA1777_4 | S. habrochaites | Parent | | LA1777_F1_3 | S. lycopersicum x S. habrochaites | F1 | | LA1777_P1_Cv_4 | S. lycopersicum | Parent | | PI26_P1_cv_i | S. lycopersicum | Parent | | PI26_P2_w_4 | S. habrochaites f. hirsutum | Parent | | PI26xLA1777_F1_J | S. habrochaites | F1 |</code></pre>
DOI: 10.21258/1543578
title: Inventaire forestier national suisse - Tableau no 899113
DOI: 10.21258/1608945
title: Inventario forestale nazionale svizzero - Tabella n. 891757
DOI: 10.6084/m9.figshare.13379630
title: Path learning in individuals with Down syndrome: the challenge of learning condition and of cognitive abilities

description: The dataset associated with the paper titled "Path learning in individuals with Down syndrome: the challenge of learning condition and of cognitive abilities". All variable names are reported in the first row and are self-explaining<br>
DOI: 10.5281/zenodo.3936726
title: German legal decision corpus

description: The corpus belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1]. Please cite [1] when using the corpus. [1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021. This corpus consits of 32,748 decisions of Bavarian courts (between 2015 and 2020), enriched with meta data. The decisisons are provided on the website www.gesetze-bayern.de. These decisions are safed in the following JSON format: <code>{ </code> <code>"meta": </code> <code> { "meta_title": "", </code> <code> "court": "", </code> <code> "decision_style": "", </code> <code> "date": "", </code> <code> "file_number":"", </code> <code> "title": "", </code> <code> "norm_chains": ["", ""], </code> <code> "decision_guidelines": ["", ""], </code> <code> "keywords": "", </code> <code> "lower_court": ["", ""], </code> <code> "additional_information": "", </code> <code> "decision_reference": "" </code> <code>}, </code> <code>"decision_text":</code> <code> { "tenor": ["",""], </code> <code> "legal_facts": ["",""], </code> <code> "decision_reasons": ["",""] </code> <code> } </code> <code>} </code> metadata fields (not all fields are always filled): - Meta Title: Title of the decision as stated on the website - Court: Name of the issuing court - Decision Style: Style of the decision - Date: Issuing date - File Number: File number of the descision - Title: Title of the decision as stated by the court - Norm Chains: Norms related to the decision - Decision Guideline: Guidlines that lead to the decision - Keywords: Keywords associated with the decision - Lower Court: Court that worked with this decision beforehand - Additional Information: more information - Decison reference: reference to the decision in beck-online The descision text is structured in three parts, not all parts are always filled. - Tenor: short description of the outcomes of the legal decision issued by the court - Legal Facts: Statment of all facts that lead to a decision - Decision Reasons: Indepth explanaition why a court decided in a certain way.
description: {"references": ["Urchs Stefanie, Mitrovi\u0107 Jelena, and Granitzer Michael. \"Design and Implementation of German Legal Decision Corpora\" ICAART. 2021."]}