cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/tzlifusnvcrdqa-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C28H18Cl3NO/c29-23-17-24(30)27(25(31)18-23)28(33)32(19-21-11-5-2-6-12-21)26-14-8-7-13-22(26)16-15-20-9-3-1-4-10-20/h1-14,17-18H,19H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3 [77.16 ppm] ppm) δ = 164.4, 140.8, 136.5, 135.0, 134.6, 133.7 (+ CH), 133.6, 133.0, 131.7 (+, CH, 2C), 129.4 (+, CH, 2C), 129.2 (+, CH), 129.0 (+, CH), 128.7 (+, CH, 2C), 128.6 (+, CH), 128.4 (+, CH, 2C), 128.3 (+, CH), 128.1 (+, CH), 127.8 (+, CH), 127.8 (+, CH), 122.9, 121.9, 96.4, 86.8, 51.1 (–, CH2). Impurities: unknown impurities present in the spectrum. Yield has been adjusted accordingly.
DOI: 10.14272/tzlifusnvcrdqa-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C28H18Cl3NO/c29-23-17-24(30)27(25(31)18-23)28(33)32(19-21-11-5-2-6-12-21)26-14-8-7-13-22(26)16-15-20-9-3-1-4-10-20/h1-14,17-18H,19H2

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/tzlifusnvcrdqa-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C28H18Cl3NO/c29-23-17-24(30)27(25(31)18-23)28(33)32(19-21-11-5-2-6-12-21)26-14-8-7-13-22(26)16-15-20-9-3-1-4-10-20/h1-14,17-18H,19H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3074 (vw), 2922 (w), 1653 (vs), 1619 (w), 1602 (vw), 1591 (w), 1578 (m), 1547 (m), 1496 (m), 1482 (m), 1442 (m), 1388 (vs), 1371 (m), 1353 (w), 1333 (w), 1322 (m), 1296 (s), 1261 (m), 1210 (w), 1186 (w), 1167 (m), 1130 (m), 1103 (w), 1079 (m), 1068 (w), 1045 (w), 1027 (w), 1011 (w), 965 (m), 955 (w), 915 (w), 875 (w), 861 (s), 844 (w), 817 (m), 802 (w), 775 (m), 747 (vs), 732 (vs), 713 (w), 698 (vs), 687 (vs), 664 (w), 620 (s), 591 (m), 571 (w), 558 (w), 541 (w), 528 (w), 506 (vs), 490 (w), 475 (w), 432 (w), 411 (w) cm–1.
DOI: 10.14272/tzlifusnvcrdqa-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C28H18Cl3NO/c29-23-17-24(30)27(25(31)18-23)28(33)32(19-21-11-5-2-6-12-21)26-14-8-7-13-22(26)16-15-20-9-3-1-4-10-20/h1-14,17-18H,19H2

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA), m/z (%): 492 (31) [M+2]+, 490 (33) [M+1]+, 209 (59), 207 (59), 136 (32), 109 (39), 105 (32), 97 (43), 95 (62), 91 (100). HRMS (C28H18Cl3NO): calcd 490.0527, found 490.0526.
DOI: 10.6084/m9.figshare.21756569
title: Data Set NFT-Collectibles

description: This is the data set to the corresponding research article.
DOI: 10.6084/m9.figshare.21756569.v1
title: Data Set NFT-Collectibles

description: This is the data set to the corresponding research article.
DOI: 10.5255/ukda-sn-856007
title: The Impact of the COVID-19 Pandemic on Cambodian Garment Workers, 2020-2021

description: Covid-19 has severely impacted employment opportunity and earning potential for workers in Cambodia's garment and footwear sector. Manifesting initially as an economic crisis, the impacts of manufacturing shutdowns and consumer lockdowns around the world slowed the garment sector's output. This led to employment suspensions and terminations affecting hundreds of thousands of workers in Cambodia alone. For two years, the ReFashion study has uniquely tracked the impacts of the pandemic on a cohort of 200 female workers in Cambodia, from January 2020 through to December 2021. The study combines a quantitative survey of female workers to measure monthly trends in employment, household finances, and wellbeing, with qualitative interviews to explore emergent themes in greater depth. Each of these components is repeated with the same cohort of participants at strategic intervals. The research methods are designed to capture an in-depth and long-term understanding of women workers' lives through the pandemic. Our findings indicate that the COVID-19 pandemic has exacerbated a crisis of over-indebtedness for workers in the garment industry, with severe consequences for the short and long-term health and wellbeing of workers and their families. Over-indebtedness is reached when a credit borrower 'is continuously struggling to meet repayment deadlines and has to make unduly high sacrifices related to his or her loan obligations'. Even before the COVID-19 pandemic, credit borrowing had become commonplace among low-income households in Cambodia, which has one of the largest microfinance industries in the world in terms of borrowers per capita. This widescale borrowing enables households to temporarily deal with the lack of social protection and public services in the country, allowing them to meet costs of health care and invest in housing in times of urgent need. High levels of borrowing by garment workers specifically, as evidenced in the ReFashion study, indicate that flagship efforts to foster 'Decent Work' in the garment sector in Cambodia have not precluded the need for some workers to take on significant loans to supplement their low wages and fill the gaps in social protection provision. During the COVID-19 pandemic, garment workers' 'financial inclusion' became even more vital to their ability to cope with the economic emergency they faced, by using access to credit to smooth short terms gaps in income caused by employment suspensions. Yet at the same time, reduced earning capacity hindered workers' ability to make existing loan repayments. To meet outstanding commitments, many resorted to reducing daily expenditure on necessities including food. Most workers reported their household food intake as inadequate and many reported experiencing hunger during the pandemic. Such unduly high sacrifices are neither just nor sustainable.
DOI: 10.23708/rj3dt5
title: Microplastic concentrations in surface waters of Dau Tieng and Tri an reservoirs

description: Microplastic (300-5000µm) concentrations were measured in the Dau Tieng reservoir of Tay Ninh province at three sampling sites and in the Tri An reservoir of Dong Nai province, at five sampling sites, in April 2021 (dry season) and in October 2021 (rainy season). Microplastic were sampled using a 80µm mesh size net from a local boat. The samples were extracted in the laboratory using enzymatic digestion, NaCl density separation and were filtrated on GF-A filter. Then microplastic were observed on stereomicroscope and length, area, color were measured for fragments, line and circle. Concentrations are given in total microplastic per m3, fragment per m3 and fibers per m3.
DOI: 10.23708/svjs1t
title: Data for: Varietal mixtures of Sahelian smallholders conciliate enhanced yield and agrobiodiversity conservation

description: This study was co-designed with farmers’ organizations in Senegal with the aim of assessing the impacts of the mixing of early- and late-flowering pearl millet landraces (Cenchrus americanus) on in situ yield, i.e. in poor soil conditions with limited fertilization on smallholder plots. To this end, during 2019 growing season, we performed experiments in two villages from Senegal, with 15 peasants per village. Two groups of treatments were randomly distributed within each block: T1: monovarietal pearl millet with landrace 1, or 2, 3 and 4, and T2: mixture of all four landraces (1 + 2 + 3 + 4) at equal proportions (25% each). In addition to grain and fodder yield, we measured seven morphological traits and three variables related to weeds (all species together without taxonomic identification) and pathogens. Soils were sampled before the start of the experiments and were analysed for total soil organic carbon (SOC) and total nitrogen (by CHN elemental analyser), available P (Olsen method), water pH and mineral nitrogen (N_NO3 and N_NH4).
DOI: 10.17909/gvzs-se31
title: TOI-1260 system TESS photometry
DOI: 10.18112/openneuro.ds004380.v1.0.0
title: Intraoperative EEG dataset during medianus-tibialis stimulation with 8 different rates
DOI: 10.5255/ukda-sn-856107
title: Public Perceptions of Energy Disruptions

description: Energy systems are changing rapidly, bringing new types of risks, and new forms of potential disruption to energy supplies. Our growing dependence on energy, particularly electricity, means that more than ever we need to plan for disruptions and be prepared for them. What happens during the disruption is important: we need to understand how individuals, communities and organisations experience the event, and what measures can be taken to reduce the overall impacts. This study investigates how people and communities in the city of Glasgow (Scotland) might be expected to respond to a lengthy, widespread disruption to energy supplies. A novel three-stage diary-interview methodology was used to explore energy practices and expectations dependency, and to understand the ways in which people’s experience of disruptions may change in the coming decade. The results show that the most consistent determinant of participants’ perceived resilience, over and above socio-demographic factors, is their expectations and their degree of dependency on routine. In addition, the results suggest that common assumptions regarding people’s vulnerability may be misplaced, and are shifting rapidly as digital dependency grows, and are sometimes misplaced: in particular, determinants such as age and income should not be seen as straightforward proxies for vulnerability. A new set of ‘indicators of vulnerability’ are identified. For longer outages, people’s ability to cope will likely decrease with duration in a non-linear ‘step-change’ fashion, as interdependent infrastructures and services are affected. Community-level actions can improve resilience, and local scales may be more appropriate for identifying vulnerabilities than socio-demographic proxies, but this is only feasible if organisations and institutions are adequately resourced.
DOI: 10.5281/zenodo.7443838
title: Data Set from the DMP survey and interviews - intermediate results

description: This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15).<br> The interview series will continue in 2023 and final results will be published later in 2023. The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far. All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.
DOI: 10.5281/zenodo.7443839
title: Data Set from the DMP survey and interviews - intermediate results

description: This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15).<br> The interview series will continue in 2023 and final results will be published later in 2023. The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far. All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.
DOI: 10.5255/ukda-sn-856136
title: Mechanisms of Mindful Change: A Mediating Relationship Between Psychological Flexibility, Self-compassion, and Well-being after Compassionate Mind Training, 2022

description: Compassion-based practises have been extensively shown to be beneficial in their remediation and prevention of stress-related psychopathologies such as depression and anxiety. There are several fears, block and resistances to compassion which prevent individuals from accessing the physiological and psychological benefits of compassion. A key part of compassion-focused therapy (CFT) and compassionate mind training (CMT), is teaching individuals mindfulness techniques to detach individuals from previous made associations, feelings and emotions that may cause them to block compassionate engagement and action. Mindfulness has been defined as being in contact with the present moment and being able to have meta-awareness of one's thoughts, feelings and emotions without becoming attached to them. There are different dimensions of psychological flexibility which dictate the content, context, strength and importance of these associations and relationships. These can be easier (psychological flexibility) or more difficult (psychological inflexibility) for individuals to change, evolve or expand upon. The objective of this study was to determine whether there is a relationship between compassion, psychological flexibility and improved psychological well-being after Compassionate Mind Training (CMT). The motivation for this piece of research is to identify whether psychological flexibility (or certain dimensions of psychological flexibility) has an effect on how willing individuals are to engage and act upon the three flows of compassion: compassion for others, compassion from others and self-compassion. This study had two hypotheses. Hypothesis one (H1) stated that participants’ levels of negative affect would significantly decrease after CMT and their levels of well-being would significantly increase alongside levels of compassionate engagement and action across the flows of compassion, repeating previous studies’ findings. Hypothesis two (H2) stated that participants’ levels of well-being and compassionate engagement and action would have significant positive correlations with each other and measures of psychological flexibility, suggesting possible mediating factors between them. After data analysis, the results of this study supported the first hypothesis, revealing significant increases in self-compassionate engagement and action and well-being, as well as unexpected increases in psychological flexibility. In terms of the second hypothesis, a serial mediation analysis supported previous theoretical accounts and studies which have suggested that the soothing benefits of compassion are mediated via mindfulness, a process which, in this study appeared to be represented by the psychological flexibility dimensions of present-moment-awareness, defusion and self-as-context in that mediating order.
DOI: 10.6084/m9.figshare.21756665
title: Additional file 1 of A shotgun approach to explore the bacterial diversity and a brief insight into the glycoside hydrolases of Samiti lake located in the Eastern Himalayas

description: Additional file 1: S1. The table shows functional annotation against COG database for ABS1 sample from Samiti Lake. S2. The table shows functional annotation against FIG database for ABS1 sample from Samiti Lake. S3. The table shows functional annotation against GO database for ABS1 sample from Samiti Lake. S4. The table shows functional annotation against KEGG database for ABS1 sample from Samiti Lake. S5. The table shows functional annotation against PFAM database for ABS1 sample from Samiti Lake. S6. The table shows functional annotation against COG database for ABSLW sample from Samiti Lake. S7. The table shows functional annotation against FIG database for ABSLW sample from Samiti Lake. S8. The table shows functional annotation against GO database for ABSLW sample from Samiti Lake. S9. The table shows functional annotation against KEGG database for ABSLW sample from Samiti Lake. S10. The table shows functional annotation against PFAM database for ABSLW sample from Samiti Lake
DOI: 10.6084/m9.figshare.21756665.v1
title: Additional file 1 of A shotgun approach to explore the bacterial diversity and a brief insight into the glycoside hydrolases of Samiti lake located in the Eastern Himalayas

description: Additional file 1: S1. The table shows functional annotation against COG database for ABS1 sample from Samiti Lake. S2. The table shows functional annotation against FIG database for ABS1 sample from Samiti Lake. S3. The table shows functional annotation against GO database for ABS1 sample from Samiti Lake. S4. The table shows functional annotation against KEGG database for ABS1 sample from Samiti Lake. S5. The table shows functional annotation against PFAM database for ABS1 sample from Samiti Lake. S6. The table shows functional annotation against COG database for ABSLW sample from Samiti Lake. S7. The table shows functional annotation against FIG database for ABSLW sample from Samiti Lake. S8. The table shows functional annotation against GO database for ABSLW sample from Samiti Lake. S9. The table shows functional annotation against KEGG database for ABSLW sample from Samiti Lake. S10. The table shows functional annotation against PFAM database for ABSLW sample from Samiti Lake
DOI: 10.5281/zenodo.5906931
title: The datasets for reproducing analysis of ENIGMA paper

description: The datasets for reproducing analysis of ENIGMA paper
DOI: 10.5281/zenodo.5906932
title: The datasets for reproducing analysis of ENIGMA paper

description: The datasets for reproducing analysis of ENIGMA paper
DOI: 10.5281/zenodo.7462559
title: The datasets for reproducing analysis of ENIGMA paper

description: The datasets for reproducing analysis of ENIGMA paper
DOI: 10.5255/ukda-sn-856033
title: Centre for Climate Change and Social Transformations: Modelling Food and Diet, 2020-2050

description: These datasets were collected as part of the Centre for Climate Change and Social Transformations (CAST) project. The CAST Theme 1.3 project ran from 2020 - 2022 as a consortium of five universities – Cardiff, Manchester, Newcastle, York and East Anglia and the charity, Climate Outreach. The CAST project was funded by the Economic and Social Research Council (ESRC). The Manchester team was funded by grant ES/S012257/1. Further details on the CAST project and related publications can be found via Related Resources. The Centre’s hub is based at Cardiff University. Additional core partners include University of East Anglia, University of Manchester, University of York, University of Bath, and the charity Climate Outreach. The global food system is under increasing stress with a growing population, rising demand for meat protein and a changing climate. Reducing meat consumption and a shift towards plant-based diets has been proposed to reduce GHG emissions. However, a bridge between academic research data and communication with the general population is lacking. Here, we use outputs from an Integrated Assessment Model to show dietary change through popular dishes and consumption frequency. The scenario chosen delivered emission reductions commensurate with avoiding global warming above 1.5 deg C and replaced meat with plant protein. We applied the DDDI (diets, dishes, dish ingredients) communication framework to visualise these outputs in the form of plates. We also calculated the frequency of monthly consumption of key food groups and how the composition of popular dishes could change to be consistent with the scenario. The results reveal how modelled changes can be presented in an understandable way to show how the mix of different protein foods changes to meet greenhouse gas constraints by 2050.
DOI: 10.7910/dvn/9eyuqv
title: Replication Data for: ROSEclust

description: Code and data presented in the "Cluster based oversampling for imbalanced classification" paper to study the ROSEclust methodology.
DOI: 10.17638/datacat.liverpool.ac.uk/1988
title: RawStereoDataPublic

description: This SPSS file contains stereoacuity data on 54 participants using TNO, Frisby, Langstreopad and Asteroid stereotests.
DOI: 10.5281/zenodo.5548261
title: Dataset for: Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study

description: Dataset underlying the publication "<strong>Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study</strong>" (BMC Medicine) Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021. Analysis of the health effect of the roll-out and administration of pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.
description: Funding for this project was provided by Unitaid.
DOI: 10.5281/zenodo.5548260
title: Dataset for: Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study

description: Dataset underlying the publication "<strong>Effectiveness of rectal artesunate as pre-referral treatment for severe malaria in children under 5 years of age: a multi-country observational study</strong>" (BMC Medicine) Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021. Analysis of the health effect of the roll-out and administration of pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.
description: Funding for this project was provided by Unitaid.
DOI: 10.34740/kaggle/dsv/4748626
title: YouTube Daily
DOI: 10.11588/data/qrqssz/mwxjij
title: RGZM_Tagung_46_13_Kronz_Appendices_A2_bis_A4.tab

description: :unav
DOI: 10.6084/m9.figshare.21755399
title: Data for "Greening Vegetation Alleviates Hot Extremes in The Semiarid Region of China"

description: The dataset related to the figures in the maintext. <br>
DOI: 10.6084/m9.figshare.21755399.v2
title: Data for "Greening Vegetation Alleviates Hot Extremes in The Semiarid Region of China"

description: The dataset related to the figures in the maintext. <br>
DOI: 10.6084/m9.figshare.21755399.v1
title: Data for "Greening Vegetation Alleviates Hot Extremes in The Semiarid Region of China"

description: The dataset related to the figures in the maintext. <br>
DOI: 10.5281/zenodo.7462863
title: MammalBase — Database of traits, measurements and diets of the species in class Mammalia

description: <strong>MammalBase is a database of traits, measurements and diets of the species in class Mammalia. It also provides Proximate Analysis data for several diet items.</strong> <strong>MammalBase aims to provide general information on mammals for broad-scale analyses in Macroecology, Palaeontology and mammalian Community structures.</strong> <strong>The database is maintained at the Natural Sciences Unit of the Finnish Museum of Natural History LUOMUS — a research institution under the University of Helsinki in Finland.</strong>
DOI: 10.17632/kwgzzvk2xn.1
title: LINF_340017900

description: SPEF1
Leishmania infantum (strain JPCM5)