cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20337524.v1
title: Dynamic Cell Imaging: application to the diatom <i>Phaeodactylum tricornutum</i> under environmental stresses

description: The dynamic movement of cell organelles is an important and poorly understood component of cellular organization and metabolism. In this work we present a non-invasive non-destructive method (Dynamic Cell Imaging, DCI) based on light scattering and interferometry to monitor dynamic events within photosynthetic cells using the diatom <i>Phaeodactylum tricornutum</i> as a model system. For this monitoring we acquire for a few seconds movies of the signals that are related to the motion of dynamic structures within the cell (denoted scatterers), followed by a statistical analysis of each pixel time series. Illuminating <i>P. tricornutum</i> with LEDs of different wavelengths associated with short pulsed or continuous-wave modes of illumination revealed that dynamic movements depend on chloroplast activity, in agreement with the reduction in the number of pixels with dynamic behaviour after addition of photosystem II inhibitors. We studied <i>P. tricornutum</i> under two environmentally relevant stresses, iron and phosphate deficiency. The major dynamic sites were located within lipid droplets and chloroplast envelope membranes. By comparing standard deviation and cumulative sum analyses of the time series, we showed that within the droplets two types of scatterer movement could be observed: random motion (Brownian type) but also anomalous movements corresponding to a drift which may relate to molecular fluxes within a cell. The method appears to be valuable for studying the effects of various environments on microalgae in the laboratory as well as in natural aquatic environments. Light scattering is an alternative to fluorescence to rapidly evidence dynamic processes.Lipid droplets are the major metabolic active sites under stress.A non-destructive visualization method suitable for laboratory microalgae and aquatic samples. Light scattering is an alternative to fluorescence to rapidly evidence dynamic processes. Lipid droplets are the major metabolic active sites under stress. A non-destructive visualization method suitable for laboratory microalgae and aquatic samples.
DOI: 10.34740/kaggle/ds/3195762
title: Sinhala Hand Written Letters
DOI: 10.6084/m9.figshare.22716502
title: Niveomyces and Pseudoniveomyces (5genes dataset)

description: We identified notably more homoplastic sites in the alignments of <em>RPB1</em> (310) and <em>RPB2</em> (340) than in those of ITS (234), LSU (84) and <em>TEF1</em> (218) (Supplementary material, Fig. S1).
DOI: 10.6084/m9.figshare.22716502.v1
title: Niveomyces and Pseudoniveomyces (5genes dataset)

description: We identified notably more homoplastic sites in the alignments of <em>RPB1</em> (310) and <em>RPB2</em> (340) than in those of ITS (234), LSU (84) and <em>TEF1</em> (218) (Supplementary material, Fig. S1).
DOI: 10.5519/qd.mj5vyvkq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.4119/unibi/2978689
title: Data Publication for: A Brief Measure of Complete Subjective Well-Being in Germany: A Population-Based Validation of a German Version of the Flourish Index (FI) and the Secure Flourish Index (SFI)

description: Measuring subjective well-being in a multidimensional, valid, reliable, and parsimonious way is important for both social science research and social policy. Here, we present an efficient measure of distinct domains of subjective well-being and overall flourishing. The Flourishing Index (FI) consists of five sub-domains: 1. happiness and life satisfaction, 2. physical and mental health, 3. meaning and purpose, 4. character and virtue, and 5. close social relationships. The Secure Flourishing Index (SFI) adds the sub-domain financial and material stability, which is thought to be necessary to sustain the other domains over time. We developed a German version of these measures in a multi-stage translation and scale testing process. The results of an exploratory factor analysis in Study 1 (N=192) suggest a unidimensional structure of the FI and a two-dimensional structure of the SFI. Moreover, both indices (and most sub-domains) revealed acceptable to good reliability. The factor structures were confirmed in Study 2 (N=13,268). We provide indications for measurement invariance of both indices with regard to gender and age. We furthermore examined inter-correlations with related constructs such as importance of health, self-efficacy, and social support. Study 3 (N=317) finds evidence for high convergent validity of both the FI and the SFI with overall well-being as well as sub-scores of the PERMA-Profiler. These results suggest that the FI and the SFI are efficient measures of distinct domains of subjective well-being and overall flourishing. Our translation of the FI and SFI, along with the empirical relationships that we found among the measures that we reviewed, will help scholars in Germany (and beyond) explore an expanded range of domains of well-being, including the comparatively neglected domains of character and virtue, physical health, and financial and material stability.
DOI: 10.23728/b2share.d8cc72e2590b40bea459d4908cb5567a
title: Foce Trigno-Marina di Petacciato (Campobasso, Italy) - Vegetation and Regional climate data for the eLTER project

description: The dataset provides vegetation data (species abundance and list) and regional climate data (cumulative annual precipitations, maximum, minimun and mean annual temperature) of two sites, Marina di Petacciato located in Campobasso (Molise, Italy) and Punta Aderci (Vasto, Abruzzo), for the eLTER project.
DOI: 10.5281/zenodo.7492856
title: Computational workflows for novel materials: Case study for lanthanide manganese perovskites

description: Supplemental material for the above manuscript. Includes the complete code archive, including all Quantum ESPRESSO calculation input and output files, as well as postprocessing scripts used to generate the figures in this manuscript.
DOI: 10.23728/b2share.5c218c0c02d8430887040ff1ea0508e1
title: Foce Saccione-Bonifica Ramitelli (Campobasso, Italy) - Vegetation and Regional climate data for the eLTER project

description: The dataset provides vegetation data (species abundance and list) and regional climate data (cumulative annual precipitations, maximum, minimun and mean annual temperature) of two sites, Foce Saccione and Bonifica Ramitelli, located in Campobasso (Molise, Italy) for the eLTER project.
DOI: 10.18712/nsd-nsd1188-v1
title: Primary prevention of cancer. Smoking cessation in general practice. An intervention study among women who smoke.

description: The material includes the smoking habits of 2,393 pregnant women who went for prenatal check-ups at 185 general practitioners in 1987. 45% were daily smokers in the last 3 months before pregnancy and 38% were still daily smokers in the first trimester of pregnancy. Younger pregnant women smoked more than older women. Smoking habits changed little with the number of previous pregnancies. 538 pregnant daily smokers were included in an intervention study and followed throughout pregnancy and for one year after birth. 96% of the pregnant women were motivated to change their smoking habits. The pregnant women as a group reduced their smoking habits (measured in the number of cigarettes per day) by 25%. 10% of those who smoked at the 1st prenatal check-up stopped smoking later in the pregnancy. The material includes a questionnaire filled in by the pregnant women in the first trimester and a new questionnaire filled in by the same women one year after the birth. The material was collected in the period 1986 to 1989 and the project was financed by the Norwegian Cancer Society. The control material includes 450 non-pregnant women who were recruited and studied over the same period.
DOI: 10.5525/gla.researchdata.1385
title: Incorporating a Polyethyleneglycol Linker to Enhance the Hydrophilicity of Mitochondria-Targeted Triphenylphosphonium Constructs

description: The datasets provided are for the 1H NMR, 13C NMR and where relevant 31P NMR spectra of all compounds in the paper and the synthetic intermediates described in the supplementary information. The folder for each compound is labelled with the name used in the paper or for synthetic intermediates, the compound number given in the supplementary information. All folders contain raw data acquired on Bruker AVIII 400 and AVIII 500 spectrometers and can be processed using Bruker Topspin software. Some folders also contain MestReNova manipulatable files (.mnova). The compounds were prepared by Alexander H. Harkiss, Stuart T. Caldwell and Brendan Gallagher in the laboratory of Professor Richard C. Hartley, University of Glasgow.
DOI: 10.15468/63vuan
title: Bedfordshire Himalayan Balsam Surveys (WT) - 2010-2012

description: Field surveys in the River Flit Valley were undertaken during the summers of 2010 to 2012 to map the distribution and abundance of Himalayan Balsam (Impatiens glandulifera). Where none was found this was recorded, in addition to three levels of abundance low, medium and high).
DOI: 10.15468/sbc29l
title: Japanese Knotweed Records in the Isle of Man 1991-2008 - Department of Environment, Food and Agriculture (DEFA).

description: Data collated on this single species for the whole of the Isle of Man, VC71, using recording cards distibuted to governemnt employees and general public.
DOI: 10.15468/lsanac
title: Species Surveillance Project - Rare Priority Species on Natural England NNRs

description: Records of a selection of rare species from NERC Act s41 list and /or Habitats Directive Annexes, captured by Natural England staff and volunteers on NNRs managed by Natural England. Includes both historical data from NNR records and current data from recent and ongoing surveys. This Project forms part of Natural England's Evidence Programme.
DOI: 10.15468/cumtkq
title: DEMNA : Monitoring the biological quality of water bodies in Wallonia through Macrophytes diversity (Since 2005)

description: WARNING: SOME ERRORS WHERE SPOTED WITHIN THE DATASET. USE IS NOT RECOMMENDED BEFORE 2018 UPDATE. The dataset includes occurrences from the macrophytic inventories carried out by the hydrobiological unit at the department for the study of the natural and argicultural environment (DEMNA-DGO3-public service of Wallonia) within a network for monitoring the quality of surface water masses in Wallonia, since 2005 (monitoring biological, physico-chemical, hydromorphological aspects of the water bodies). Macrophytic inventories arise from assignments related to the Water Framework directive on water (FWD - 2000/60/CE). Macrophytes consitute one of the 4 biological indicator groups used to estimate and follow the biological quality of surface water bodies, with macroinvertebrates, diatoms and fishes (doi:10.15468/jgddny). The monitoring network on which they are based is composed of more than 440 sites, distributed among the hydrographic districts of the Meuse, the Scheldt, the Rhine and the Seine (Wallonia). Sampling is usually performed along a 100 meters section of the water stream. Field observations are supplemented by laboratory identification of taken specimens. More information, or quality evaluation results are available upon request adressed to the DEMNA, and we intend to increase the amount of information available through the dataset in the upcoming updates, which will be done annually. This dataset does not replace any official convention on the provision of biological data delivered by the department.
DOI: 10.6084/m9.figshare.21630179.v1
title: Variation of epiphytic bryophyte species distributions, air quality and climate conditions in southern Belgium since 1980

description: This folder includes 5 files documenting (1) the distribution of epiphytic bryophyte species in 81 4x4km grid-squares in southern Belgium at two time periods between 1980 and 2020, (2) the concentrations in SO2, NO2, O3 and PM10 and (3) the climate conditions at the same time periods, (4) the average and extreme pollutant concentrations and climate conditions during the 1980-1984, 1990-1994 and 2016-2020 periods, and (5) the average NH3 concentrations measured during the Spring 2021.
DOI: 10.15468/4mph1t
title: NCC Berkshire Rare Plant Surveys 1985-1987

description: Part of a survey of rare plants in Berkshire, Buckinghamshire and Oxfordshire between 1985 and 1987
DOI: 10.15468/nm7tqy
title: Herbario Gaspar Xuarez (BAA) - Facultad de Agronomía - Universidad de Buenos Aires

description: Colección de plantas vasculares, principalmente de Argentina y países limítrofes. Incluye materiales correspondientes al ex Herbario del CEFAPRIN (BACP)
DOI: 10.15468/owxr8u
title: Nottinghamshire Biodiversity Action Group Himalayan Balsam Survey

description: The dataset contains records for Himalayan Balsam for Nottinghamshire.
DOI: 10.6084/m9.figshare.22700116.v1
title: Dataset for "Parental breeding decisions and genetic quality predict social structure of independent offspring"

description: This study used pre-existing datasets collected in a population of hihi (<em>Notiomystis cincta</em>) on Tiritiri Matangi Island (Auckland, Aotearoa New Zealand), collected for three cohorts of juvenile birds between 2015-2017. Social associations were quantified via repeated observations recording spatiotemporal proximity, to determine a social network for each cohort; relatedness between each juvenile dyad and individual-level inbreeding were determined via a genetic pedigree maintained by co-author P. Brekke; natal nest proximity and fledge date similarity between each juvenile was determined via yearly population monitoring of established nestboxes. <br> There are three files associated with this dataset. <br> README.txt: text file containing details of all variables in the datasheets and R code file for all main analyses. Terms for the variables correspond to the column names in the datasheets. <br> dyadic.associations.analysis_MolEcol_dataset1: data on pairwise social associations, including relatedness between each pair of individuals, and proximity between natal nestboxes. Conatins all three cohorts by year. Excel file. <br> inbreeding.analysis_MolEcol_dataset2: data on individual social behaviour, inbreeding scores of the individual and its mother, social father, and genetic father. Excel file with three tabs - one for each cohort (2015, 2016, 2017).
DOI: 10.6084/m9.figshare.22700116
title: Dataset for "Parental breeding decisions and genetic quality predict social structure of independent offspring"

description: This study used pre-existing datasets collected in a population of hihi (<em>Notiomystis cincta</em>) on Tiritiri Matangi Island (Auckland, Aotearoa New Zealand), collected for three cohorts of juvenile birds between 2015-2017. Social associations were quantified via repeated observations recording spatiotemporal proximity, to determine a social network for each cohort; relatedness between each juvenile dyad and individual-level inbreeding were determined via a genetic pedigree maintained by co-author P. Brekke; natal nest proximity and fledge date similarity between each juvenile was determined via yearly population monitoring of established nestboxes. <br> There are three files associated with this dataset. <br> README.txt: text file containing details of all variables in the datasheets and R code file for all main analyses. Terms for the variables correspond to the column names in the datasheets. <br> dyadic.associations.analysis_MolEcol_dataset1: data on pairwise social associations, including relatedness between each pair of individuals, and proximity between natal nestboxes. Conatins all three cohorts by year. Excel file. <br> inbreeding.analysis_MolEcol_dataset2: data on individual social behaviour, inbreeding scores of the individual and its mother, social father, and genetic father. Excel file with three tabs - one for each cohort (2015, 2016, 2017).
DOI: 10.6084/m9.figshare.21946865
title: Social Materiality Map: MSCI

description: The Social Sustainability Materiality Map dataset is a structured and curated collection of data derived from the MSCI Industry Materiality Map. MSCI ESG Ratings evaluate companies' resilience to long-term, financially relevant environmental, social, and governance (ESG) risks. The MSCI ESG Industry Materiality Map is a visual representation of the current ESG Key Issues and their significance to companies' ESG Ratings. This map is part of MSCI's ESG Ratings transparency initiatives, which aim to make ESG Ratings of companies and funds accessible to the public. The dataset includes structured data collected from the MSCI Materiality Map, showcasing the most relevant ESG Key Issues for each industry and their contribution to companies' overall ESG Ratings. This dataset aims to provide researchers, investors, and policymakers with valuable insights into the social sustainability aspects of various industries and the factors that contribute to their ESG Ratings. <strong>Data Collection Process:</strong> The data for the Social Sustainability Materiality Map dataset was collected from the publicly available MSCI Industry Materiality Map. The information was then structured and organized to create a comprehensive dataset that highlights the most relevant ESG Key Issues for each industry and their contribution to companies' ESG Ratings. <br> Link: MSCI Industry Materiality Map
DOI: 10.6084/m9.figshare.21946865.v1
title: Social Materriality Map: MSCI

description: The dataset was collected from MSCI Industry Materiality Map: "MSCI ESG Ratings assess the resilience of companies to long-term, financially relevant environmental, social, and governance (ESG) risks. Our ESG Industry Materiality Map is a representation of the current ESG Key Issues and their contribution to companies' ESG Ratings. This map is part of our ESG Ratings transparency initiatives, through which we have made ESG Ratings of companies and funds accessible to the public." - MSCI We collected MSCI Materiality Map and structured. Further information regarding the data collection process and codebook will be published in the future.
DOI: 10.15472/oinjpp
title: Herbario Universidad del Quindío

description: El Herbario HUQ tiene como objetivo Almacenar especímenes vegetales, para estudiar la flora de la región Centro Andina Colombiana, con el fin de fomentar su conservación y uso sustentable, en el tiempo y en el espacio, como un patrimonio nacional.
DOI: 10.15468/1hizeo
title: Invasive non-native species records from SEWeb

description: Invasive non-native species records entered by users of the SE Web website to record their ad hoc and structured observations and photographs of INNS in Scotland from 2015 onwards.
 
 Attributes	Mandatory/Optional
 Personal Details
 Name 	Mandatory
 Email 	Mandatory
 Phone (Landline) 	Optional
 Phone (Mobile) 	Optional
 Species Details
 Name of Species (Common Name)	Mandatory
 Date of Sighting	Mandatory
 Size of individual (compare with coin, ruler, or spread area etc) 	Mandatory
 No of individuals or Area/Measure of extent	Mandatory
 Location of Sighting (Geo Location)	Mandatory
 Photos 	Mandatory
 If they have more	Optional
 Habitat	Mandatory
 Taxonomy	Mandatory
 SEWeb tag	default to SEWeb and auto generated.
 
 Format of the form does not allow insertion of the table.
DOI: 10.6084/m9.figshare.21940145
title: Environmental Materiality Map: MSCI

description: The Environmental Sustainability Materiality Map dataset is a structured and curated collection of data derived from the MSCI Industry Materiality Map. MSCI ESG Ratings evaluate companies' resilience to long-term, financially relevant environmental, social, and governance (ESG) risks. The MSCI ESG Industry Materiality Map is a visual representation of the current ESG Key Issues and their significance to companies' ESG Ratings. This map is part of MSCI's ESG Ratings transparency initiatives, which aim to make ESG Ratings of companies and funds accessible to the public. The dataset includes structured data collected from the MSCI Materiality Map, showcasing the most relevant ESG Key Issues for each industry and their contribution to companies' overall ESG Ratings. This dataset aims to provide researchers, investors, and policymakers with valuable insights into the social sustainability aspects of various industries and the factors that contribute to their ESG Ratings. <strong>Data Collection Process:</strong> The data for the Environmental Sustainability Materiality Map dataset was collected from the publicly available MSCI Industry Materiality Map. The information was then structured and organized to create a comprehensive dataset that highlights the most relevant ESG Key Issues for each industry and their contribution to companies' ESG Ratings. Link: MSCI Industry Materiality Map
DOI: 10.15468/oxrhcj
title: English Nature Berkshire Staff Surveys 1990's

description: Surveys done by members of staff at English Nature in the 1990's on a number of sites, some of which are SSSIs. Most of the records are botanical, but there are records of key species from other taxon groups.
DOI: 10.6084/m9.figshare.21940145.v3
title: Environmental Materriality Map: MSCI

description: The dataset was collected from MSCI Industry Materiality Map: "MSCI ESG Ratings assess the resilience of companies to long-term, financially relevant environmental, social, and governance (ESG) risks. Our ESG Industry Materiality Map is a representation of the current ESG Key Issues and their contribution to companies' ESG Ratings. This map is part of our ESG Ratings transparency initiatives, through which we have made ESG Ratings of companies and funds accessible to the public." - MSCI <br> We collected MSCI Materiality Map and structured. Further information regarding the data collection process and codebook will be published in the future.
DOI: 10.15468/e9ljsy
title: Distribution of Invasive and Non-Native Species in Greater Manchester

description: Records of Invasive and Non-Native Species in Greater Manchester. This data set includes the species defined as INNS by the Environment Agency.
DOI: 10.15468/pxm6sy
title: Nottinghamshire Biodiversity Action Group Japanese Knotweed Survey

description: The dataset contains records for Japanese Knotweed.
DOI: 10.34740/kaggle/dsv/5547282
title: Health Workforce Shortage Areas
DOI: 10.6084/m9.figshare.21946883
title: Governance Materiality Map: MSCI

description: The Governance Sustainability Materiality Map dataset is a structured and curated collection of data derived from the MSCI Industry Materiality Map. MSCI ESG Ratings evaluate companies' resilience to long-term, financially relevant environmental, social, and governance (ESG) risks. The MSCI ESG Industry Materiality Map is a visual representation of the current ESG Key Issues and their significance to companies' ESG Ratings. This map is part of MSCI's ESG Ratings transparency initiatives, which aim to make ESG Ratings of companies and funds accessible to the public. The dataset includes structured data collected from the MSCI Materiality Map, showcasing the most relevant ESG Key Issues for each industry and their contribution to companies' overall ESG Ratings. This dataset aims to provide researchers, investors, and policymakers with valuable insights into the social sustainability aspects of various industries and the factors that contribute to their ESG Ratings. <strong>Data Collection Process:</strong> The data for the Governance Sustainability Materiality Map dataset was collected from the publicly available MSCI Industry Materiality Map. The information was then structured and organized to create a comprehensive dataset that highlights the most relevant ESG Key Issues for each industry and their contribution to companies' ESG Ratings. Link: MSCI Industry Materiality Map
DOI: 10.15468/tnlga7
title: Rare vascular plant species in North-West of Kostroma region, Russia

description: Occurences of vascular plant species included in the Red Data Book of Kostroma region (Russia). It is important information for flora list of Kostroma region and presented results of researching in previous poorly studied areas. One new species for flora of "Kologrivsky les" natural reserve was found.