cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25440/smu.24420919.v1
title: CSISG 2007: Full Year Dataset, Datamap and Questionnaire

description: This record is part of 'The Customer Satisfaction Index of Singapore (CSISG) Annual Dataset Collection 2007-2022', providing raw data set, questionnaire and datamap for 2007. For related datasets across other years, refer to the full collection here: https://doi.org/10.25440/smu.c.6906043The Customer Satisfaction Index of Singapore (CSISG) is a landmark measure of customer satisfaction cutting across a variety of key sectors and sub-sectors in the services industry of Singapore. The study was produced and updated on an quarterly and annual basis from 2007 to 2022. First launched in April 2008, the CSISG is an independent and qualitative indicator of the Singapore economy. It covers 8 core economic sectors, more than 20 sub-sectors and numerous companies from the Air Transport Finance, Food & Beverage, Info-communications, Insurance, Land Transport, Retail, and Tourism industries. This national barometer of customer satisfaction in the Singapore economy serves as an objective gauge of service competitiveness between businesses, industries, and even countries. As it reports the overall customer satisfaction scores of every sector and sub-sector, including a ranking of the companies measured, the CSISG serves as an invaluable benchmarking tool across industries in the services sector.The methodological foundations of the Customer Satisfaction Index of Singapore can be traced to the American Customer Satisfaction Index (ACSI), developed by the National Quality Research Centre (NQRC) at the University of Michigan. The American Customer Satisfaction Index has been the standardised measure of customer satisfaction in the US economy since 1994.The Customer Satisfaction Index of Singapore is based on econometric modelling of data obtained from interviews with actual users of products and services.
DOI: 10.6084/m9.figshare.27160032
title: PRISMA Checklist.pdf

description: PRISMA Checklist
DOI: 10.6084/m9.figshare.27160032.v1
title: PRISMA Checklist.pdf

description: PRISMA Checklist
DOI: 10.15468/dl.6xpywn
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx (Linnaeus, 1758)"
 ]
}

 The dataset includes 240 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039074-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54snfx
title: Occurrence Download

description: A dataset containing 418184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "Geometry POLYGON((4.37621 50.83417,4.51798 50.83417,4.51798 50.89085,4.37621 50.89085,4.37621 50.83417))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 418184 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039072-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29xhcy
title: Occurrence Download

description: A dataset containing 815 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Varanus komodoensis Ouwens, 1912"
 ]
}

 The dataset includes 815 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039075-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12967527
title: Data from Radiometer (RAD) measurements at Paris – Denfert-Rochereau (PADENF) from 2023-09-14 to 2024-06-17 [RAW]

description: Original logger data files from radiometer measurements on a sun tracker of global, direct and diffuse shortwave irradiance and longwave irradiance at roof-level at the Observatoire de Paris (Institut Astrophysique de Paris) in the centre of Greater Paris (near Place Denfert-Rochereau, 14th arrondissement).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; Institut Astrophysique de Paris for hosting the measurement station.

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12967528
title: Data from Radiometer (RAD) measurements at Paris – Denfert-Rochereau (PADENF) from 2023-09-14 to 2024-06-17 [RAW]

description: Original logger data files from radiometer measurements on a sun tracker of global, direct and diffuse shortwave irradiance and longwave irradiance at roof-level at the Observatoire de Paris (Institut Astrophysique de Paris) in the centre of Greater Paris (near Place Denfert-Rochereau, 14th arrondissement).
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding; Institut Astrophysique de Paris for hosting the measurement station.

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5518/218
title: Dataset associated with 'Towards designer organelles by subverting the peroxisomal import pathway'.

description: This data is associated with a research project concerning development of tools to develop ‘designer’ organelles, a potential strategy to enable foreign pathways to be efficiently controlled within eukaryotic biotechnology. A fundamental component of any such system will be the implementation of a bespoke protein import pathway that can selectively deliver constituent proteins to the new compartment in the presence of existing endogenous trafficking systems. In the associated manuscript we show that the protein-protein interactions that control the peroxisomal protein import pathway can be manipulated to create a pair of interacting partners that still support protein import in moss cells but are orthogonal to the naturally occurring pathways. In addition to providing a valuable experimental tool to give new insights into peroxisomal protein import, the variant receptor-signal sequence pair forms the basis of a system in which normal peroxisomal function is downregulated and replaced with an alternative pathway, an essential first step in the creation of a designer organelle.
DOI: 10.6084/m9.figshare.27159852
title: Cohort 1 and 2 raw data (anonymized) from: Barkoci et al. (2024) Measuring generation and dispersal of infectious respiratory particles – using respiratory and oral commensal bacteria as index organisms for respiratory pathogens .xlsx

description: This dataset contains information from two cohorts of participants. In Cohort 1 (n=16), participants were asked to speak in their normal conversational voice, followed by shouting. In Cohort 2 (n=15), participants performed various respiratory activities—shouting, breathing, singing, and coughing—while wearing randomly assigned face coverings. These included disposable medical face masks and four types of transparent face coverings.The experiments were conducted using the IMADGENN (Isolator to Measure Aerosol and Droplet GENeration), a flexible-film isolator supplied with HEPA-filtered air, with all outputs also extracted through HEPA filtration. Participants performed the respiratory activities by opening a front window of the isolator, with settle plates containing Columbia blood agar positioned at distances of 10–100 cm to the left, right, and center. Additionally, a slit-to-agar air sampler was placed 1.2m from the participants.Oral commensal bacteria (most commonly Streptococci and Neisseria spp.) captured on the settle plates and air sampler were used as proxies for respiratory pathogens.
DOI: 10.15468/dl.pp8rzw
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Prionailurus javanensis (Desmarest, 1816)"
 ]
}

 The dataset includes 39 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039077-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gwrd54
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vipera kaznakovi Nikolsky, 1909"
 ]
}

 The dataset includes 244 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039078-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh3xsc
title: Occurrence Download

description: A dataset containing 4828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Abies alba Mill."
 ]
}

 The dataset includes 4828 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039080-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12968102
title: Data from Radiometer (RAD) intercomparison measurements in Paris from 2022-09-02 to 2024-05-02 [RAW]

description: Original logger data files from radiometer intercomparison measurements at SIRTA Atmospheric Observatory in Palaiseau in the Greater Paris region.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

This publication may include a number of files that contain the same measurements (duplicate files, "dupes") as multiple raw data backups were performed on the data. The duplicate data can be differentiated by the information found in the timestamp column and file header.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.5281/zenodo.12968103
title: Data from Radiometer (RAD) intercomparison measurements in Paris from 2022-09-02 to 2024-05-02 [RAW]

description: Original logger data files from radiometer intercomparison measurements at SIRTA Atmospheric Observatory in Palaiseau in the Greater Paris region.
description: TECHNICAL INFO

No data quality control has been carried out. No gap-filling has been applied. Detailed information about the site and deployment can be found in the Technical documentation of the urbisphere-Paris campaign.

This publication may include a number of files that contain the same measurements (duplicate files, "dupes") as multiple raw data backups were performed on the data. The duplicate data can be differentiated by the information found in the timestamp column and file header.

ACKNOWLEDGEMENTS

Authors thank SIRTA/LMD staff for providing support and facilities; ATMO-TNA-3—0000000125 funding

COPYRIGHT NOTICE

Copyright Jörn Birkmann, Andreas Christen, Nektarios Chrysoulakis, and Sue Grimmond. Some rights reserved.

CREATOR NOTICE

This work is owned by the Principal Investigators (PIs) of the Urbisphere project.

ATTRIBUTION NOTICE

The [creation and] curation of this work has been funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005).

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors, the involved institutions, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the involved institutions, and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Urbisphere project
DOI: 10.15468/dl.kqkg7b
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is IDN",
 "TaxonKey is Viverricula indica (É.Geoffroy Saint-Hilaire, 1803)"
 ]
}

 The dataset includes 62 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039081-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9538529
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.26977505
title: RAP1-GTPase immunostaining is altered in human precancerous and cancerous cervical lesions

description: <b>Aim:</b> This study investigated RAP1 immunostaining variation in different cell types during CC progression. <b>Methods:</b> Paraffin-embedded cervical tissues from 101 patients were categorized into control, pre-neoplastic and neoplastic groups. RAP1 immunolocalization, HPV detection and genotyping were performed. A semiquantitative immunoreactive score was employed to compare labeling intensity, cellular localization, nuclear labeling, percentage and distribution of reactive cells. <b>Results:</b> 73% (72/99) of cervical specimens were HPV+. RAP1 was localized in the nucleus and cytoplasm of all samples. Cytoplasmic RAP1 immunoscore was higher than nuclear score in all CC groups. RAP1 intensity increased with lesion severity. SCC samples exhibited predominantly intense RAP1 immunostaining. <b>Conclusion:</b> RAP1 is an efficient biomarker for detecting invasive CC lesions but has limited utility in distinguishing SCC grades. DNA-HPV search in cervical formalin-fixed and paraffin-embedded (FFPE) tissues detected presence of viral DNA in 73% of cervical specimens. HPV genotyping by automated DNA sequencing determined the prevalence of the HPV types: HPV16 (76%), HPV31 (6.4%), HPV33 (4.8%) and HPV45 (3.2%). RAP1 immunocytochemistry was performed in pre-neoplastic and neoplastic lesions tissues. Evaluation of RAP1 cellular localization detected the protein expression in the nucleus and cytoplasm of all tissue samples. Semi-quantitative analysis of RAP1 labeling intensity in the nucleus reveled that it was stronger in samples from CIN III and SCC groups. Evaluation of distribution of reactive cells in the epithelium thickness. Both histopathological grades of SCC exhibited intense RAP1 labeling observed in 58% of MSCC and 70% of PSCC cases. Only one (14%) sample of the MSCC group (less aggressive) exhibited strong (+3 score) RAP1 nuclear intensity, but 4 (57%) PSCC samples (more aggressive) presented strong nuclear intensity. These data suggest that intensity labeling of RAP1 immunostaining is a good parameter for identifying more severe (CIN III) and invasive cervical lesions.
DOI: 10.6084/m9.figshare.26977505.v1
title: RAP1-GTPase immunostaining is altered in human precancerous and cancerous cervical lesions

description: <b>Aim:</b> This study investigated RAP1 immunostaining variation in different cell types during CC progression. <b>Methods:</b> Paraffin-embedded cervical tissues from 101 patients were categorized into control, pre-neoplastic and neoplastic groups. RAP1 immunolocalization, HPV detection and genotyping were performed. A semiquantitative immunoreactive score was employed to compare labeling intensity, cellular localization, nuclear labeling, percentage and distribution of reactive cells. <b>Results:</b> 73% (72/99) of cervical specimens were HPV+. RAP1 was localized in the nucleus and cytoplasm of all samples. Cytoplasmic RAP1 immunoscore was higher than nuclear score in all CC groups. RAP1 intensity increased with lesion severity. SCC samples exhibited predominantly intense RAP1 immunostaining. <b>Conclusion:</b> RAP1 is an efficient biomarker for detecting invasive CC lesions but has limited utility in distinguishing SCC grades. DNA-HPV search in cervical formalin-fixed and paraffin-embedded (FFPE) tissues detected presence of viral DNA in 73% of cervical specimens. HPV genotyping by automated DNA sequencing determined the prevalence of the HPV types: HPV16 (76%), HPV31 (6.4%), HPV33 (4.8%) and HPV45 (3.2%). RAP1 immunocytochemistry was performed in pre-neoplastic and neoplastic lesions tissues. Evaluation of RAP1 cellular localization detected the protein expression in the nucleus and cytoplasm of all tissue samples. Semi-quantitative analysis of RAP1 labeling intensity in the nucleus reveled that it was stronger in samples from CIN III and SCC groups. Evaluation of distribution of reactive cells in the epithelium thickness. Both histopathological grades of SCC exhibited intense RAP1 labeling observed in 58% of MSCC and 70% of PSCC cases. Only one (14%) sample of the MSCC group (less aggressive) exhibited strong (+3 score) RAP1 nuclear intensity, but 4 (57%) PSCC samples (more aggressive) presented strong nuclear intensity. These data suggest that intensity labeling of RAP1 immunostaining is a good parameter for identifying more severe (CIN III) and invasive cervical lesions.
DOI: 10.6084/m9.figshare.26946507
title: Perspective: metabolomics has the potential to change the landscape of kidney transplantation diagnostics

description: Kidney transplantation is the most efficient renal replacement therapy. Current diagnostics for monitoring graft health are either invasive or lack precision. Metabolomics is an emerging discipline focused on the analysis of the small molecules involved in metabolism. Given the kidneys' central role in metabolic homeostasis and previous observations of altered metabolites correlating with restricted kidney graft function, metabolomics is highly promising for the discovery of novel biomarkers and the development of novel diagnostics. In this perspective, we summarize the known metabolic roles for the kidney, discuss biomarkers of graft health and immune status emerging from metabolomics research, and provide our perspective on how these and future findings can be integrated in clinical practice to enable precision diagnostics. Kidney transplantation (KT) remains the best treatment for renal disease but better diagnostic tests for monitoring graft health are required as the current ones are inadequate. Metabolomics, the study of small molecule metabolites in biological samples, is poised to enable the discovery of novel metabolite biomarkers. The kidneys play a central role in metabolic homeostasis, and impaired kidney function leads to metabolite level changes in plasma and urine. Discussion of representative papers performing metabolomics on plasma and urine samples from KT patients. Accurate prediction of rejection status using specific metabolite panels and a potential ability to determine the type of rejection (ABMR vs. TCMR). Survey of the KT metabolomics literature. Despite a general low concordance between studies due to differences in sample cohorts and analytical methodologies, multiple metabolite markers surface across multiple studies. Metabolic alterations observed with rejection across multiple studies include phenylalanine (directly metabolized by the kidney), symmetric dimethylarginine (a uremic toxin known to accumulate in plasma with compromised kidney function) and tryptophan (a precursor for kynurenine in immune-mediated responses). Multi-metabolite panels may provide earlier and more detailed insights into graft injury. Combination with protein and/or RNA biomarkers (smart biomarker panels) may further boost test performance.