cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25377/sussex.11672358
title: Research data for paper: “Attachments in the Workplace: How Attachment Security in the Workplace Benefits the Organisation"

description: Data for the paper: Luke, M. A, Carnelley, K.B., & Sedikides, C. (2019). Attachments in the workplace: how attachment security in the workplace benefits the organisation. <i>European Journal of Social Psychology</i>. <b>Abstract</b> In four studies, we tested if workplace secure attachment entails organisational benefits, given that such relationships are associated with increased positive relationship emotions. In Study 1, employees rated the extent to which colleagues, supervisors, and other individuals fulfill the attachment functions. In Study 2, employees listed up to 10 individuals before completing the same rating task as Study 1. In the remaining studies, employees rated their attachment security with their supervisors (Study 3) or colleagues (Study 4), and completed measures of positive relationship emotions with these individuals, proactive behaviour, organisational allure, and organisational deviance. We found that supervisors and colleagues fulfill attachment functions (Studies 1‐2), and that workplace attachment security confers organisational allure and proactive behaviour due to its association with positive relationships emotions. However, workplace attachment security directly lowers organisational deviance (Studies 3‐4). Thus, supportive and trusting work environments may encourage workplace relationships that could bestow organisational benefits. Datasets are from the four studies discussed in the above paper. Each separate dataset consists of participants’ responses to the survey items from one of the studies discussed in the paper. As all files are SPSS data files, a copy of SPSS is required to open the files.
DOI: 10.25377/sussex.11672358.v1
title: Research data for paper: “Attachments in the Workplace: How Attachment Security in the Workplace Benefits the Organisation"

description: Data for the paper: Luke, M. A, Carnelley, K.B., & Sedikides, C. (2019). Attachments in the workplace: how attachment security in the workplace benefits the organisation. <i>European Journal of Social Psychology</i>. <b>Abstract</b> In four studies, we tested if workplace secure attachment entails organisational benefits, given that such relationships are associated with increased positive relationship emotions. In Study 1, employees rated the extent to which colleagues, supervisors, and other individuals fulfill the attachment functions. In Study 2, employees listed up to 10 individuals before completing the same rating task as Study 1. In the remaining studies, employees rated their attachment security with their supervisors (Study 3) or colleagues (Study 4), and completed measures of positive relationship emotions with these individuals, proactive behaviour, organisational allure, and organisational deviance. We found that supervisors and colleagues fulfill attachment functions (Studies 1‐2), and that workplace attachment security confers organisational allure and proactive behaviour due to its association with positive relationships emotions. However, workplace attachment security directly lowers organisational deviance (Studies 3‐4). Thus, supportive and trusting work environments may encourage workplace relationships that could bestow organisational benefits. Datasets are from the four studies discussed in the above paper. Each separate dataset consists of participants’ responses to the survey items from one of the studies discussed in the paper. As all files are SPSS data files, a copy of SPSS is required to open the files.
DOI: 10.6084/m9.figshare.11672334
title: Dzelal Dupljak Basics of C# programming Certificate

description: Dzelal Dupljak Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672325
title: Morilla et al., JAMP 2017

description: Supplemental Data to improve the readability of the manuscript.
DOI: 10.6084/m9.figshare.11672328
title: Adis Buljugbasi Basics of C# programming Certificate

description: Adis Buljugbasi Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672325.v1
title: Morilla et al., JAMP 2017

description: Supplemental Data to improve the readability of the manuscript.
DOI: 10.6084/m9.figshare.11672319
title: Sanela Koca Basics of C# programming Certificate

description: Sanela Koca Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672307
title: Genetic differentiation and phylogenetic relationship of 11 Asian Sisorinae genera (Siluriformes: Sisoridae) with new record of <i>Pseudolaguvia foveolata</i>

description: Studies on <i>Sisorinae</i> systematics have been largely restricted to morphological data with few studies on examination of phylogenetic relations. However, no study has been done to evaluate genetic distance of the genera under <i>Sisorinae</i> sub-family and detailed phylogenetic relations within it. We used nuclear recombination activating 2 (<i>rag2</i>) gene and mitochondrial cytochrome c oxidase I (<i>COI</i>) gene from 64 species to examine genetic differentiation and phylogenetic relationships within 11 Asian <i>Sisorinae</i> genera. The range of interspecies K2P distance for <i>rag2</i> was 0–0.061 and <i>COI</i> was 0–0.204. Phylogenetic analysis based on maximum likelihood (ML) and Bayesian (BI) approaches for each locus individually and for the concatenated <i>rag2</i> and <i>COI</i> sequences revealed three major subclades viz. Bagariini, Sisorini and Erethistini under subfamily Sisorinae. The analysis based on <i>COI</i> gene showed ((Sisorini, Bagariini), Erethistini) relationship. <i>Rag</i>2 and combined <i>rag2</i> and <i>COI</i> showed ((Sisorini, Erethistini), Bagariini) relationship. Combined <i>rag</i>2 and <i>COI</i> analyses resulted into better resolved trees with a good bootstrap support. In this study, new record of <i>Pseudolaguvia foveolata</i> (Erethistini) has been documented based on 13 specimens collected from Torsa River, Jaldapara, Alipurduar district, West Bengal, India (26°43′44.66″ N and 89°19′32.34″ E), extending its distribution range in Brahmaputra drainage, India. The genetic distance between the <i>P. foveolata</i> new record and the reported <i>P. foveolata</i> (holotype: UMMZ 244867) was 0.00 at both <i>rag2</i> and <i>COI</i> locus and it was further grouped with <i>P. foveolata</i> Type specimen (holotype: UMMZ 244867) with 100% bootstrap support. This report gives additional information on occurrence of the species <i>P. foveolata</i>, along with discussion on morphometric, meristic and molecular (<i>COI</i> and <i>rag2</i> gene) data.
DOI: 10.6084/m9.figshare.11672307.v1
title: Genetic differentiation and phylogenetic relationship of 11 Asian Sisorinae genera (Siluriformes: Sisoridae) with new record of <i>Pseudolaguvia foveolata</i>

description: Studies on <i>Sisorinae</i> systematics have been largely restricted to morphological data with few studies on examination of phylogenetic relations. However, no study has been done to evaluate genetic distance of the genera under <i>Sisorinae</i> sub-family and detailed phylogenetic relations within it. We used nuclear recombination activating 2 (<i>rag2</i>) gene and mitochondrial cytochrome c oxidase I (<i>COI</i>) gene from 64 species to examine genetic differentiation and phylogenetic relationships within 11 Asian <i>Sisorinae</i> genera. The range of interspecies K2P distance for <i>rag2</i> was 0–0.061 and <i>COI</i> was 0–0.204. Phylogenetic analysis based on maximum likelihood (ML) and Bayesian (BI) approaches for each locus individually and for the concatenated <i>rag2</i> and <i>COI</i> sequences revealed three major subclades viz. Bagariini, Sisorini and Erethistini under subfamily Sisorinae. The analysis based on <i>COI</i> gene showed ((Sisorini, Bagariini), Erethistini) relationship. <i>Rag</i>2 and combined <i>rag2</i> and <i>COI</i> showed ((Sisorini, Erethistini), Bagariini) relationship. Combined <i>rag</i>2 and <i>COI</i> analyses resulted into better resolved trees with a good bootstrap support. In this study, new record of <i>Pseudolaguvia foveolata</i> (Erethistini) has been documented based on 13 specimens collected from Torsa River, Jaldapara, Alipurduar district, West Bengal, India (26°43′44.66″ N and 89°19′32.34″ E), extending its distribution range in Brahmaputra drainage, India. The genetic distance between the <i>P. foveolata</i> new record and the reported <i>P. foveolata</i> (holotype: UMMZ 244867) was 0.00 at both <i>rag2</i> and <i>COI</i> locus and it was further grouped with <i>P. foveolata</i> Type specimen (holotype: UMMZ 244867) with 100% bootstrap support. This report gives additional information on occurrence of the species <i>P. foveolata</i>, along with discussion on morphometric, meristic and molecular (<i>COI</i> and <i>rag2</i> gene) data.
DOI: 10.6084/m9.figshare.11672301
title: Emir Plojovic Basics of C# programming Certificate

description: Emir Plojovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672301.v1
title: Emir Plojovic Basics of C# programming Certificate

description: Emir Plojovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672286
title: Ajsa Bisevac Basics of C# programming Certificate

description: Ajsa Bisevac Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672250
title: Enver Kamesnicanin Basics of C# programming Certificate

description: Enver Kamesnicanin Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672244
title: Aladin Kurtanovic Basics of C# programming Certificate "Autumn Coding School 2019"

description: Aladin Kurtanovic Basics of C# programming Certificate "Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11672226
title: Aladin Kurtanovic Basics of C# programming CertificateIn progress

description: Aladin Kurtanovic Basics of C# programming Certificate"Autumn Coding School 2019"<br><br>
DOI: 10.6084/m9.figshare.11672226.v1
title: Aladin Kurtanovic Basics of C# programming Certificate

description: Aladin Kurtanovic Basics of C# programming Certificate"Autumn Coding School 2019"<br><br>
DOI: 10.6084/m9.figshare.11672223
title: Supplementary Material for: Two Prevalent ∼100-kb <b><i>GYPB</i></b> Deletions Causative of the GPB-Deficient Blood Group MNS Phenotype S–s–U– in Black Africans

description: The U antigen (MNS5) is one of 49 antigens belonging to the MNS blood group system (ISBT002) carried on glycophorins A (GPA) and B (GPB). U is present on the red blood cells in almost all Europeans and Asians but absent in approximately 1.0% of Black Africans. U negativity coincides with negativity for S (MNS3) and s (MNS4) on GPB, thus be called S–s–U–, and is thought to arise from homozygous deletion of <i>GYPB</i>. Little is known about the molecular background of these deletions. Bioinformatic analysis of the 1000 Genomes Project data revealed several candidate regions with apparent deletions in <i>GYPB</i>. Highly specific Gap-PCRs, only resulting in positive amplification from DNAs with deletions present, allowed for the exact genetic localization of 3 different breakpoints; 110.24- and 103.26-kb deletions were proven to be the most frequent in Black Americans and Africans. Among 157 CEPH DNAs, deletions in 6 out of 8 African ethnicities were present. Allele frequencies of the deletions within African ethnicities varied greatly and reached a cumulative 23.3% among the Mbuti Pygmy people from the Congo. Similar observations were made for U+<sup>var</sup> alleles, known to cause strongly reduced GPB expression. The 110- and 103-kb deletional <i>GYPB</i> haplotypes were found to represent the most prevalent hereditary factors causative of the MNS blood group phenotype S–s–U–. Respective <i>GYPB</i> deletions are now accessible by molecular detection of homo- and hemizygous transmission.
DOI: 10.6084/m9.figshare.11672214
title: Irfan Catovic Basics of C# programming Certificate

description: Irfan Catovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672223.v1
title: Supplementary Material for: Two Prevalent ∼100-kb <b><i>GYPB</i></b> Deletions Causative of the GPB-Deficient Blood Group MNS Phenotype S–s–U– in Black Africans

description: The U antigen (MNS5) is one of 49 antigens belonging to the MNS blood group system (ISBT002) carried on glycophorins A (GPA) and B (GPB). U is present on the red blood cells in almost all Europeans and Asians but absent in approximately 1.0% of Black Africans. U negativity coincides with negativity for S (MNS3) and s (MNS4) on GPB, thus be called S–s–U–, and is thought to arise from homozygous deletion of <i>GYPB</i>. Little is known about the molecular background of these deletions. Bioinformatic analysis of the 1000 Genomes Project data revealed several candidate regions with apparent deletions in <i>GYPB</i>. Highly specific Gap-PCRs, only resulting in positive amplification from DNAs with deletions present, allowed for the exact genetic localization of 3 different breakpoints; 110.24- and 103.26-kb deletions were proven to be the most frequent in Black Americans and Africans. Among 157 CEPH DNAs, deletions in 6 out of 8 African ethnicities were present. Allele frequencies of the deletions within African ethnicities varied greatly and reached a cumulative 23.3% among the Mbuti Pygmy people from the Congo. Similar observations were made for U+<sup>var</sup> alleles, known to cause strongly reduced GPB expression. The 110- and 103-kb deletional <i>GYPB</i> haplotypes were found to represent the most prevalent hereditary factors causative of the MNS blood group phenotype S–s–U–. Respective <i>GYPB</i> deletions are now accessible by molecular detection of homo- and hemizygous transmission.
DOI: 10.6084/m9.figshare.11672154
title: Camil Plojovic Basics of C# programming Certificate

description: Camil Plojovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672154.v1
title: Camil Plojovic Basics of C# programming Certificate

description: Camil Plojovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672097
title: Irfan Suljevic Basics of C# programming Certificate

description: Irfan Suljevic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672061
title: Muhedin Alic Basics of C# programming Certificate

description: Muhedin Alic Basics of C# programming Certificate"Autumn Coding School 2019" <br><br>
DOI: 10.6084/m9.figshare.11672061.v1
title: Muhedin Alic Basics of C# programming Certificate

description: Muhedin Alic Basics of C# programming Certificate"Autumn Coding School 2019" <br><br>
DOI: 10.6084/m9.figshare.11672055
title: Din Sahovic Basics of C# programming Certificate

description: Din Sahovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672055.v1
title: Din Sahovic Basics of C# programming Certificate

description: Din Sahovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11672034
title: Fatmir Husejni Basics of C# programming Certificate

description: Fatmir Husejni Basics of C# programming Certificate "Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11672034.v1
title: Fatmir Husejni Basics of C# programming Certificate

description: Fatmir Husejni Basics of C# programming Certificate "Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11672022
title: Armin Mujkovic Basics of C# programming Certificate

description: Basics of C# programming Certificate "Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11671899
title: Eldar Idrizovic Basics of C# programming Certificate

description: Eldar Idrizovic Basics of C# programming Certificate"Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11671899.v1
title: Eldar Idrizovic Basics of C# programming Certificate

description: Eldar Idrizovic Basics of C# programming Certificate"Autumn Coding School 2019"
DOI: 10.6084/m9.figshare.11671803
title: Noise pollution: acute noise exposure increases susceptibility to disease and chronic exposure reduces host survival

description: Attached is a dataset that contains information on treatments used: chronic noise exposure; acute noise exposure and controls. In addition, there is infection data that was used to analyse the relationship between noise exposure and disease susceptibility. Infection data includes: 1) Parasite count: number of worms on host body surface over 17 day infection trajectory2)Maximum parasite count: highest parasite number achieved on the host 3) Area under curve: summation of 17 day infection trajectory using the trapezoid rule. 4) Slope of curve: intrinsic rate of parasite increase or decrease
DOI: 10.6084/m9.figshare.11671797
title: Belmin Kurtanovic Basics of C# programming Certificate

description: Belmin Kurtanovic Basics of C# programming Certificate"Autumn Coding School 2019"<br>
DOI: 10.6084/m9.figshare.11671803.v1
title: Noise pollution: acute noise exposure increases susceptibility to disease and chronic exposure reduces host survival

description: Attached is a dataset that contains information on treatments used: chronic noise exposure; acute noise exposure and controls. In addition, there is infection data that was used to analyse the relationship between noise exposure and disease susceptibility. Infection data includes: 1) Parasite count: number of worms on host body surface over 17 day infection trajectory2)Maximum parasite count: highest parasite number achieved on the host 3) Area under curve: summation of 17 day infection trajectory using the trapezoid rule. 4) Slope of curve: intrinsic rate of parasite increase or decrease
DOI: 10.3886/e120703
title: Automated Linking of Historical Data

description: Currently, the repository provides codes for two such methods:The ABE fully automated approach: This approach is a fully automated method for linking historical datasets (e.g. complete-count Censuses) by first name, last name and age. The approach was first developed by Ferrie (1996) and adapted and scaled for the computer by Abramitzky, Boustan and Eriksson (2012, 2014, 2017). Because names are often misspelled or mistranscribed, our approach suggests testing robustness to alternative name matching (using raw names, NYSIIS standardization, and Jaro-Winkler distance). To reduce the chances of false positives, our approach suggests testing robustness by requiring names to be unique within a five year window and/or requiring the match on age to be exact.A fully automated probabilistic approach (EM): This approach (Abramitzky, Mill, and Perez 2019) suggests a fully automated probabilistic method for linking historical datasets. We combine distances in reported names and ages between each two potential records into a single score, roughly corresponding to the probability that both records belong to the same individual. We estimate these probabilities using the Expectation-Maximization (EM) algorithm, a standard technique in the statistical literature. We suggest a number of decision rules that use these estimated probabilities to determine which records to use in the analysis.
DOI: 10.6084/m9.figshare.11671740
title: Data - Vertical migrations of fish schools determine overlap with a mobile tidal stream marine renewable energy device_Whitton et al. 2020

description: Data used in the 2020 published paper 'Vertical migrations of fish schools determine overlap with a mobile tidal stream marine renewable energy device in the Journal of Applied Marine Ecology'. See 'Methods' section in the paper for data collection and processing explanation. Please contact lead author if you intend to use the data.
DOI: 10.6084/m9.figshare.11671761
title: Database CHAID for segmenting by season PNT (887 tourists)

description: DATABASE
DOI: 10.6084/m9.figshare.11671740.v1
title: Data - Vertical migrations of fish schools determine overlap with a mobile tidal stream marine renewable energy device_Whitton et al. 2020

description: Data used in the 2020 published paper 'Vertical migrations of fish schools determine overlap with a mobile tidal stream marine renewable energy device in the Journal of Applied Marine Ecology'. See 'Methods' section in the paper for data collection and processing explanation. Please contact lead author if you intend to use the data.
DOI: 10.6084/m9.figshare.11671761.v2
title: Database CHAID for segmenting by season

description: DATABASE
DOI: 10.6084/m9.figshare.11671761.v1
title: Database CHAID for segmenting by season

description: DATABASE
DOI: 10.3886/e120703v1
title: Automated Linking of Historical Data

description: Currently, the repository provides codes for two such methods:The ABE fully automated approach: This approach is a fully automated method for linking historical datasets (e.g. complete-count Censuses) by first name, last name and age. The approach was first developed by Ferrie (1996) and adapted and scaled for the computer by Abramitzky, Boustan and Eriksson (2012, 2014, 2017). Because names are often misspelled or mistranscribed, our approach suggests testing robustness to alternative name matching (using raw names, NYSIIS standardization, and Jaro-Winkler distance). To reduce the chances of false positives, our approach suggests testing robustness by requiring names to be unique within a five year window and/or requiring the match on age to be exact.A fully automated probabilistic approach (EM): This approach (Abramitzky, Mill, and Perez 2019) suggests a fully automated probabilistic method for linking historical datasets. We combine distances in reported names and ages between each two potential records into a single score, roughly corresponding to the probability that both records belong to the same individual. We estimate these probabilities using the Expectation-Maximization (EM) algorithm, a standard technique in the statistical literature. We suggest a number of decision rules that use these estimated probabilities to determine which records to use in the analysis.
DOI: 10.6084/m9.figshare.11671617
title: Orthosilicic acid Inhibits RANKL-Induced Osteoclastogenesis and Reverses Ovariectomy-Induced Bone Loss in Vivo

description: Silicon is essential for bone formation. Numerous experiments in vitro and in vivo have shown that an appropriate increase intake of silicon can facilitate the synthesis of collagen and its stabilization, and promote the differentiation and mineralization of osteoblasts. However, its effect on osteoclast-associated osteoporosis and the underlying mechanisms remain unclear. In this study, we examined whether orthosilicic acid restrain the differentiation of osteoclast through the receptor activator of nuclear factor κB ligand (RANKL)/ receptor activator of nuclear factor κB (RANK)/ osteoprotegerin(OPG) signaling pathway by investigating its effect in vitro and in vivo. By using an in vitro bone marrow macrophage (BMM)-derived osteoclast culture system, we found that orthosilicic acid inhibited osteoclast differentiation and RANKL-induced osteoclast marker gene and protein expression including c-Fos, nuclear factor of activated T cells cl (NFATcl), tumor necrosis factor receptor-associated factor 6(TRAF6), nuclear factor kappa B P50(NF- κB P50), NF- κB P52, RANK, Integrin β3, cathepsin K(CTSK). And we treated ovariectomized (OVX) mice with orthosilicic acid and revealed a protective effect of orthosilicic acid on osteoporosis in vivo. In conclusion, our finding demonstrated that orthosilicic acid suppresses RANKL-induced osteoclastogenesis and has potential value as a therapeutic agent for OVX-induced bone loss.