cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7755406
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.5281/zenodo.6984637
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: This data set is supplement to this Scientific Reports article.


The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. 



	
Metrics:
	

		
Estimated daily average travelled distance by people.
		
Estimated percentage of people who did not move during the 24 hours of the day.
	
	
	
Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).
	
Covered period: from March 11, 2020 to present.
	
Temporal resolution: daily.
	
Temporal smoothing:
	

		
No smoothing.
		
7-day moving average.
		
14-day moving average.
		
21-day moving average.
		
28-day moving average.
	
	
	
Uncertainty: 95% bootstrap confidence interval.



Data ownership


Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).


Contribution



	
Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.
	
Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.



Repository update


CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
DOI: 10.5281/zenodo.8092483
title: MobMeter: a global human mobility data set based on smartphone trajectories

description: <strong>This data set is supplement to this Scientific Reports article.</strong> The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories. Metrics: Estimated daily average travelled distance by people. Estimated percentage of people who did not move during the 24 hours of the day. Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN). Covered period: from March 11, 2020 to present. Temporal resolution: daily. Temporal smoothing: No smoothing. 7-day moving average. 14-day moving average. 21-day moving average. 28-day moving average. Uncertainty: 95% bootstrap confidence interval. <strong>Data ownership</strong> Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo). <strong>Contribution</strong> Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager. Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers. <strong>Repository update</strong> CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.
description: {"references": ["Finazzi, F. (2022) Replacing discontinued Big Tech mobility reports: a penetration-based analysis, arXiv:2210.09714"]}
DOI: 10.6084/m9.figshare.26935678.v1
title: Supplementary Material for: Identification of renal ischemia reperfusion injury subtypes and predictive model for graft loss after kidney transplantation based on programmed cell death-related genes

description: Introduction：Ischemia reperfusion injury (IRI) is detrimental to kidney transplants and may contribute to poor long-term outcomes of transplantation. Programmed cell death (PCD), a regulated cell death form triggered by IRI, is often indicative of an unfavorable prognosis following transplantation. However, given the intricate pathophysiology of IRI and the considerable variability in clinical conditions during kidney transplantation, the specific patterns of cell death within renal tissues remain ambiguous. Consequently, accurately predicting the outcomes for transplanted kidneys continues to be a formidable challenge. Methods：Eight Gene Expression Omnibus (GEO) datasets of biopsied transplanted kidney samples post IRI and 1548 PCD-related genes derived from 18 PCD patterns were collected in our study. Consensus clustering was performed to identify distinct IRI subtypes based on PCD features (IRI PCD subtypes). Differential enrichment analysis of cell death, metabolic signatures, and immune infiltration across these subtypes was evaluated. Three machine learning algorithms were used to identify PCD patterns related to prognosis. Genes associated with graft loss were screened for each PCD type. A predictive model for graft loss was constructed using 101 combinations of 10 machine learning algorithms. Results：Four IRI subtypes were identified: PCD-A, PCD-B, PCD-C, and PCD-D. PCD-A, characterized by high enrichment of multiple cell death patterns, significant metabolic paralysis, and immune infiltration, showed the poorest prognosis among the four subtypes. While PCD-D involved the least kind of cell death patterns with the features of extensive activation of metabolic pathways and the lowest immune infiltration, correlating with the best prognosis in the four subtypes. Using various machine learning algorithms, 10 cell death patterns and 42 PCD-related genes were identified positively correlated with graft loss. The predictive model demonstrated high sensitivity and specificity, with area under the curve (AUC) values for 0.5-, 1-, 2-, 3-, and 4-year graft survival at 0.888, 0.91, 0.926, 0.923, and 0.923, respectively. Conclusion：Our study explored the comprehensive features of PCD patterns in transplanted kidney samples post IRI. The prediction model shows great promise in forecasting graft loss and could aid in risk stratification in patients following kidney transplantation.
DOI: 10.15468/dl.rhan5n
title: Occurrence Download

description: A dataset containing 255830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes vexans (Meigen, 1830)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 255830 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115845-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2hgkw
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis Linnaeus, 1758"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115863-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13629558
title: Health system characteristics and health insurance enrollment, Lusaka, Zambia

description: Regionally representative cross-sectional household survey in Lusaka, Zambia collecting information on demographics, health expenditure, ratings of last health facility visit, trust in government, health insurance status and confidence in the health system among the informal sector. The data was collected from November 6 to December 19, 2020. We obtained ethical clearance from the University of Zambia Social Sciences and Humanities Ethical Clearance Committee as well as the permission to conduct this research from the National Health Research Authority. We also obtained ethical clearance from the Ethikkommission Nordwest-und Zentralschweiz (EKNZ) in Switzerland. An informed consent was obtained from each respondent before the interview started. (2024-09-02)
DOI: 10.5281/zenodo.13629559
title: Health system characteristics and health insurance enrollment, Lusaka, Zambia

description: Regionally representative cross-sectional household survey in Lusaka, Zambia collecting information on demographics, health expenditure, ratings of last health facility visit, trust in government, health insurance status and confidence in the health system among the informal sector. The data was collected from November 6 to December 19, 2020. We obtained ethical clearance from the University of Zambia Social Sciences and Humanities Ethical Clearance Committee as well as the permission to conduct this research from the National Health Research Authority. We also obtained ethical clearance from the Ethikkommission Nordwest-und Zentralschweiz (EKNZ) in Switzerland. An informed consent was obtained from each respondent before the interview started. (2024-09-02)
DOI: 10.5281/zenodo.7568052
title: Dataset supporting the publication on Sternotomis amabilis sylvia longhorn beetles

description: Dataset supporting the article "Not only a matter of disorder in I-WP minimal surface-based photonic networks: Diffusive structural color in Sternotomis amabilis longhorn beetles"
DOI: 10.5281/zenodo.7568053
title: Dataset supporting the publication on Sternotomis amabilis sylvia longhorn beetles

description: Dataset supporting the article "Not only a matter of disorder in I-WP minimal surface-based photonic networks: Diffusive structural color in Sternotomis amabilis longhorn beetles"
DOI: 10.17632/cr94t52xmh.1
title: Microphotography of fossils at Pliocene marker levels.

description: wo species of Rotaliidea have been identified at several sites: Ammonia beccarii Linnaeus, 1758, at Imounsis, Illigh, and Tildi, and Elphidium crispum only at Illigh. Ammonia beccarii Linnaeus, 1758, is notable for its abundant distribution in several levels, particularly at level IMS-P4. It is sometimes associated with Ostracods and Elphidium crispum at 
the Illigh site, specifically in levels ILL-P12 and ILL-Q1.
DOI: 10.17632/vv2fkw56cf.1
title: Photography of fossils at Pliocene marker levels with Turritella, Apical side down, and umbilical side up. A1-A2, Turritella aspera; A3, Genus Scala. White bar of 1 cm.

description: The specimens were found in four geographically close levels: Ighil Ou Dardour, Ait Taoukt, Iligh, and Tildi. They are always reworked in yellow sandstone molasse sediments, accompanied by the previously mentioned Turritella aspera
DOI: 10.17632/kg7rxffv4g.1
title: Turritellas (Turritella aspera) Collected from Various Sites in the WHA.

description: Biostratigraphic analysis of the eight sites studied, from El Mhasseur to Tildi, showed the presence of Turritella aspera at all sites except Dar Boubaker. At the eastern end, no trace of this species was detected despite extensive research.
DOI: 10.17632/smctgsb4wm.1
title: Stratigraphic Distribution of the Cenozoic Species in the Western High Atlas.

description: The study of Neogene stratigraphic species distribution in the Western High Atlas (WHA) reveals significant environmental and sedimentary variation. Literature data and our stratigraphic sections show a diversity of fauna, notably bivalves, gastropods and benthic foraminifera, essential for dating sediments and interpreting paleoenvironmental conditions. Variations in species abundance and size during the Neogene reflect environmental changes, such as water temperature and salinity. Specific fossils are needed to precisely define the limits of the Pliocene.
DOI: 10.17632/h8thm7py5m.1
title: Correlations of typical sections Agadir-Town and Imounsis based on a global stratigraphic scale

description: Thanks to these advances, we were able to establish a correlation between the two types of section, enabling us to accurately position the Pliocene of our type section in relation to that of Ambroggi. This has also enabled us to update the biostratigraphic and sedimentological data.
DOI: 10.17632/bmnc32zh2v.1
title: Correlations of typical sections on a global stratigraphic scale

description: The Pliocene, positioned by Ambroggi between the Oligocene and the Quaternary, is divided into a lower Pliocene (Plaisancian-Astian) and an upper Pliocene (Calabrian-Villafranchian). This Pliocene is correlated with that of our type section, also distinguishing a lower and upper Pliocene. The Imounsis Quaternary begins at its base with the Ambroggi Calabrian facies.
DOI: 10.17632/6drvpsx3r3.1
title: Macrofaunal content of the different facies in the typical section of Ambroggi (1963)

description: The typical section from the town of Agadir to Tildi, covering the Upper Oligocene to the Upper Pliocene, shows alternating marly-sandy molassic facies, containing various bivalves and gastropods characteristic of warm waters. The Upper Pliocene is marked by red marls and sandy limestones containing a varied fauna, observed on the left bank of the Oued Tildi and crossing the plateau of the Agadir high school.
DOI: 10.17632/xhc3x6c88h.1
title: Macrofauna content of the different facies in our sample section (Tamelt Valley -Imounsis, 2024).

description: The section below Douar Imounsis, on the right bank of the Oued Tamelt, displays a diversity of facies and fossils. Extending over 21.5 meters, it shows alternating sandy-marl and calcareous sandstone facies at its base, followed by more friable sandstone to sandy limestone and conglomeratic facies. The macrofauna includes Meretrix gigas, Ostrea edulis lamellosa, and Turritella aspera, while the microfauna is dominated by Ammonia beccarii and Elphidium crispum, with levels rich in benthic foraminifera and some traces of planktonic foraminifera. Please note that we have cited only the species identified.
DOI: 10.15468/dl.cnkxsv
title: Occurrence Download

description: A dataset containing 34807 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melilotus indicus (L.) All."
 ]
}

 The dataset includes 34807 records from 720 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115862-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13683185
title: Exploring Trends in Audio Mixes and Masters: Insights from a Dataset Analysis

description: A dataset of mix and master analyses for the AES publication titled "Exploring Trends in Audio Mixes and Masters: Insights from a Dataset Analysis."
description: We present an analysis of a dataset of audio metrics and aesthetic considerations about mixes and masters providedby the web platform MixCheck studio. The platform is designed for educational purposes, primarily targetingamateur music producers, and aimed at analysing their recordings prior to them being released. The analysisfocuses on the following data points: integrated loudness, mono compatibility, presence of clipping and phaseissues, compression and tonal profile across 30 user-specified genres. Both mixed (mixes) and mastered audio(masters) are included in the analysis, where mixes refer to the initial combination and balance of individualtracks, and masters refer to the final refined version optimized for distribution. Results show that loudness-relatedissues along with dynamics issues are the most prevalent, particularly in mastered audio. However mastered audiopresents better results in compression than just mixed audio. Additionally, results show that mastered audio has alower percentage of stereo field and phase issues.
DOI: 10.5281/zenodo.13683186
title: Exploring Trends in Audio Mixes and Masters: Insights from a Dataset Analysis

description: A dataset of mix and master analyses for the AES publication titled "Exploring Trends in Audio Mixes and Masters: Insights from a Dataset Analysis."
description: We present an analysis of a dataset of audio metrics and aesthetic considerations about mixes and masters providedby the web platform MixCheck studio. The platform is designed for educational purposes, primarily targetingamateur music producers, and aimed at analysing their recordings prior to them being released. The analysisfocuses on the following data points: integrated loudness, mono compatibility, presence of clipping and phaseissues, compression and tonal profile across 30 user-specified genres. Both mixed (mixes) and mastered audio(masters) are included in the analysis, where mixes refer to the initial combination and balance of individualtracks, and masters refer to the final refined version optimized for distribution. Results show that loudness-relatedissues along with dynamics issues are the most prevalent, particularly in mastered audio. However mastered audiopresents better results in compression than just mixed audio. Additionally, results show that mastered audio has alower percentage of stereo field and phase issues.
DOI: 10.17632/zk66fg9ktn.1
title: End-User discussions about Google Maps apps on the Reddit Forum: A Crowd Requirements Dataset

description: It comprises end-user discussions on topics related to the Google Maps application on the Reddit Forum.
A small dataset comprising user discussion about Google Maps application used for validating argumentation-based research approaches. 
A Python script for extracting end-user feedback from the Reddit forum by keeping the argumentative order of discussions (comment-reply).
DOI: 10.15468/dl.es3ysb
title: Occurrence Download

description: A dataset containing 10490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Axonopus compressus (Sw.) P.Beauv."
 ]
}

 The dataset includes 10490 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115864-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/e2eec23a-7549-49d0-9e95-765b79a8c14e
title: Amazonian Landsat 7 ETM+ and Landsat 8 OLI composites July to October 2013 to 2021

description: The Landsat-7 and Landsat-8 composites products were produced for Amazonia.

The following datasets and their collections were used from Google Earth Engine

Landsat-7 Enhanced Thematic Mapper plus (ETM+) surface reflectance image collection (LANDSAT/LE07/C01/T1_SR)
Landsat-8 Operational Land Imager (OLI) surface reflectance image collection (LANDSAT/LC08/C01/T1_SR)

Other specifications:
Temporal period: 2013 to 2021 (July to October) 
Spatial resolution: 30 m 
Cloud cover less than 60%

The composites are subdivided into tiles of 4 by 4 degrees. Files are in tif format and filenames indicate L7 (Landsat 7) and L8 (Landsat 8) and the coordinates represents bounding box (X-min, Y-min, X-max, Y-max) of each tile.
DOI: 10.17632/f2nfwr83jg.1
title: Psychological resilience can reduce emotional investment in Instagram for general users

description: This is a dataset that includes psychological resilience, emotional investment in Instagram, and social support.
DOI: 10.15468/dl.z9yk39
title: Occurrence Download

description: A dataset listing the 22 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is cdef28b1-db4e-4c58-aa71-3c5238c2d0b5",
 "TaxonKey is Nematoda"
 ]
}

 The dataset's 22 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115849-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edhev4
title: Occurrence Download

description: A dataset listing the 2411 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is VegetWeb - Repositorium von Vegetationsaufnahmen"
 ]
}

 The dataset's 2411 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115853-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/f4e1e713-4c1e-4f0f-a202-031c94f3048c
title: Hybrid Perovskites for Indoor Photovoltaic Applications (thesis data)

description: The data files are embargoed until 02/09/2027
DOI: 10.15468/dl.y5by9j
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9.15_1",
 "Geometry POLYGON((6.22639 52.00394,7.98495 52.00394,7.98495 52.70707,6.22639 52.70707,6.22639 52.00394))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2024-2024"
 ]
}

 The dataset includes 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115868-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.