cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14194450
title: Pure Electronic Noise of an Orbitrap Mass Spectrometer (36 replicates)

description: The provided data was produced by performing measurements in an HPLC-ESI-Orbitrap instrument setup without the ESI being connected to an eluent flow, and consequently not producing a spray cone. We provide this data to allow researchers developing algorithms for data analysis in mass spectrometry to estimate the behaviour of their tools when confronted with real, non-chemical noise. 

As a consequence of the experimental setup, chromatographic information is included in the provided files. This does not reflect any condition of the system, as the HPLC was not connected to the MS. When using a (chromatographc) peak finding algorithm, consequently no peaks should be found. This property of the data was confirmed using the qAlgorithms program, with no peaks and at most single-digit numbers of EICs being detected.

All data is provided in profile mode, both as the .raw file and converted to .mzML using msconvert.
DOI: 10.5281/zenodo.14194451
title: Pure Electronic Noise of an Orbitrap Mass Spectrometer (36 replicates)

description: The provided data was produced by performing measurements in an HPLC-ESI-Orbitrap instrument setup without the ESI being connected to an eluent flow, and consequently not producing a spray cone. We provide this data to allow researchers developing algorithms for data analysis in mass spectrometry to estimate the behaviour of their tools when confronted with real, non-chemical noise. 

As a consequence of the experimental setup, chromatographic information is included in the provided files. This does not reflect any condition of the system, as the HPLC was not connected to the MS. When using a (chromatographc) peak finding algorithm, consequently no peaks should be found. This property of the data was confirmed using the qAlgorithms program, with no peaks and at most single-digit numbers of EICs being detected.

All data is provided in profile mode, both as the .raw file and converted to .mzML using msconvert.
DOI: 10.15468/dl.n4w3kj
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum paraguayense Wedd."
 ]
}

 The dataset includes 62 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032448-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3d2xs
title: Occurrence Download

description: A dataset containing 499812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Israel, Palestine, State of)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Month is one of (January, February, March, April, May)",
 "Year 2023-2023"
 ]
}

 The dataset includes 499812 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032382-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk4h9u
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, INC PAS The Atlas of Mammals of Poland, Mammal records for Europe via the iMammalia app, Phenological Center - Mammals (Kaliningrad))",
 "Geometry POLYGON((19.35446 54.01554,23.17847 54.01554,23.17847 55.52319,19.35446 55.52319,19.35446 54.01554))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Sciurus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 49 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032449-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7w7mav
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum rubricaule Cham."
 ]
}

 The dataset includes 64 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032450-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pyww44
title: Occurrence Download

description: A dataset containing 579422 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forestry Inventory 2015"
 ]
}

 The dataset includes 579422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032423-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay33rt
title: Occurrence Download

description: A dataset containing 7877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia boyciana Swinhoe, 1873"
 ]
}

 The dataset includes 7877 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032451-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14214811
title: Database of 3D Concrete Printed Buildings

description: This dataset contains all 3D concrete printed buildings known to the authors built between 2013 and 2023. This dataset is part of a publication and was used to research different fabrication strategies. The Excel database developed for this purpose is divided into 22 categories and filled in as far as possible. The sources are also indicated in the database. For a more detailed description of the categories and the results of the study, please refer to the corresponding publication. We would be happy if the data are used and expanded for future research into 3D concrete printing.
description: Through a comparative case study analysis, the individual projects were systematically analyzed in terms of their printing processes and printing sequences to identify different printing strategies. The qualitative findings were then combined with quantitative data by analyzing and interpreting the frequency of the strategies developed in the projects. The first step included the definition of selection criteria to clarify which buildings should be considered. As a second step, projects of 3D-printed buildings were searched worldwide. The information was collected from November to May 2024, but was limited to buildings that were finished in 2023. For this purpose, an initial list was created, based on existing publications. This list was expanded using the Google search engine by searching for ‘3D-printed buildings’, ‘3D-printed home’, ‘3D-printed house’, or ‘3D-printed construction’. The background information from one or more sources for each construction project was compiled as part of the data cleansing and validation process and checked for authenticity. To identify and filter out only comparable cases, the following six selection criteria were defined to filter the construction projects:







The building was a volumetric and enclosed structure intended for use, accommodation, or temporary residence of persons. The 3D-printed part of the building must be relevant (e.g., a single column or some walls are not sufficient).




The building project was completed in 2023.




The building was realized using the cement-based extrusion process.




The use of 3DCP technology could be proven by an existing complete record of the construction process. This included, in particular, knowledge of the printing material, the printer type, and the printing strategy.




If several identical or similar buildings were printed as a part of one construction project, only one of them was selected because the manufacturing process (printer type and printing strategy) and the geometric characteristics of the buildings were the same or similar.
DOI: 10.5281/zenodo.14214812
title: Database of 3D Concrete Printed Buildings

description: This dataset contains all 3D concrete printed buildings known to the authors built between 2013 and 2023. This dataset is part of a publication and was used to research different fabrication strategies. The Excel database developed for this purpose is divided into 22 categories and filled in as far as possible. The sources are also indicated in the database. For a more detailed description of the categories and the results of the study, please refer to the corresponding publication. We would be happy if the data are used and expanded for future research into 3D concrete printing.
description: Through a comparative case study analysis, the individual projects were systematically analyzed in terms of their printing processes and printing sequences to identify different printing strategies. The qualitative findings were then combined with quantitative data by analyzing and interpreting the frequency of the strategies developed in the projects. The first step included the definition of selection criteria to clarify which buildings should be considered. As a second step, projects of 3D-printed buildings were searched worldwide. The information was collected from November to May 2024, but was limited to buildings that were finished in 2023. For this purpose, an initial list was created, based on existing publications. This list was expanded using the Google search engine by searching for ‘3D-printed buildings’, ‘3D-printed home’, ‘3D-printed house’, or ‘3D-printed construction’. The background information from one or more sources for each construction project was compiled as part of the data cleansing and validation process and checked for authenticity. To identify and filter out only comparable cases, the following six selection criteria were defined to filter the construction projects:







The building was a volumetric and enclosed structure intended for use, accommodation, or temporary residence of persons. The 3D-printed part of the building must be relevant (e.g., a single column or some walls are not sufficient).




The building project was completed in 2023.




The building was realized using the cement-based extrusion process.




The use of 3DCP technology could be proven by an existing complete record of the construction process. This included, in particular, knowledge of the printing material, the printer type, and the printing strategy.




If several identical or similar buildings were printed as a part of one construction project, only one of them was selected because the manufacturing process (printer type and printing strategy) and the geometric characteristics of the buildings were the same or similar.
DOI: 10.6084/m9.figshare.26403784
title: Data from Deep Reinforcement Learning Model of Resilience Enhancement in Online Communities

description: This item contains data depicting the process of our <b>Double Deep Q Network</b> (and other three benchmark Deep Reinforcement Learning Models) adjusting the resiliences calculated by the data generated from a multi-agent simulation model, and the data collected from Zhihu Community. Also, there are cusp catastrophe fitting results of the simulation data and the Zhihu data in this item.In "<b>Simulation</b>" folder (file names contain "simulation"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the simulation data.In "<b>Zhihu</b>" folder (file names contain "zhihu"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the Zhihu data.All data files are uploaded as PKL files.
DOI: 10.6084/m9.figshare.26403784.v2
title: Data from Deep Reinforcement Learning Model of Resilience Enhancement in Online Communities

description: This item contains data depicting the process of our <b>Double Deep Q Network</b> (and other three benchmark Deep Reinforcement Learning Models) adjusting the resiliences calculated by the data generated from a multi-agent simulation model, and the data collected from Zhihu Community. Also, there are cusp catastrophe fitting results of the simulation data and the Zhihu data in this item.In "<b>Simulation</b>" folder (file names contain "simulation"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the simulation data.In "<b>Zhihu</b>" folder (file names contain "zhihu"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the Zhihu data.All data files are uploaded as PKL files.
DOI: 10.6084/m9.figshare.26403784.v1
title: Data from Deep Reinforcement Learning Model of Resilience Enhancement in Online Q&A Community

description: This item contains data depicting the process of our <b>Double Deep Q Network</b> (and other three benchmark Deep Reinforcement Learning Models) adjusting the resiliences calculated by the data generated from a multi-agent simulation model, and the data collected from Zhihu Community. Also, there are cusp catastrophe fitting results of the simulation data and the Zhihu data in this item.In "<b>Simulation</b>" folder (file names contain "simulation"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the simulation data.In "<b>Zhihu</b>" folder (file names contain "zhihu"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the Zhihu data.All data files are uploaded as PKL files.
DOI: 10.15468/dl.a3a74y
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Navarretia involucrata Ruiz & Pav."
 ]
}

 The dataset includes 208 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032452-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27900333.v1
title: Supplementary Material for: Using smartphone data to frequently measure atopic dermatitis severity and understand triggers: A decentralized 12-week observational study

description: Abstract
Introduction
Atopic dermatitis (AD) severity is traditionally evaluated during in-office consultations; however, this does not provide continuous monitoring and any intermittent flare/remission cycles are usually not recorded. 
The aim was to apply smartphone technology to evaluate AD severity; to explore if severity based on highly frequent sampling of photographs are associated with patient reported outcomes, and to investigate disease fluctuations and trigger associations based on passively collected environmental data.
Methods 
In this 12-week decentralized observational study adult patients with AD were recruited online and used a tailored remote clinical trial platform app to perform all study tasks including capturing photographs and completing the patient-oriented eczema measure (POEM) weekly. AD severity was assessed based on photographs using the Eczema Area and Severity Index (EASI) and SCORing Atopic Dermatitis (SCORAD). Geographical location collected in the app was used to retrieve data on ambient temperature and carbon monoxide (CO), a common air pollutant.
Results 
A total of 42 patients (35 women) were recruited online. A total of 712 photographs were taken, with an average of 17 photographs per participant. Photographic SCORAD (r=0.450) and EASI (r=0.206) were significantly associated with subjective severity POEM. Patients experiencing AD fluctuation (n=10) based on SCORAD had significantly higher risk of also having a psychiatric disorder (60 vs. 17%, p=0.008). Anxiety was significantly associated with disease fluctuation based on EASI (40 vs. 7%, p=0.01) and a tendency was observed for depression (40 vs. 13%, p=0.06). Decreasing temperature was significantly associated with higher POEM (estimate -0.18, p=0.012) and EASI score (estimate -0.14, p=0.007), but not with SCORAD. High levels of CO were significantly associated with higher SCORAD (estimate 15.9, p&lt;0.001). 
Conclusion 
In this small study with predominance of young adults, primarily women, we were able to recruit patients and monitor AD entirely remotely via smartphone-enabled photographic assessments, patient reported outcomes and passively collected environmental data without physical contact between patient and investigator.
DOI: 10.5281/zenodo.14215126
title: Gelsenkirchen Rosen Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope):

https://kalliope-verbund.info/ead?ead.id=DE-611-BF-70963

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.86zpaz
title: Occurrence Download

description: A dataset containing 13708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia verlotiorum Lamotte",
 "Year 2000-2024"
 ]
}

 The dataset includes 13708 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032453-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2v7pg5
title: Occurrence Download

description: A dataset containing 285 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odontotermes formosanus (Shiraki, 1909)"
 ]
}

 The dataset includes 285 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032454-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jhgyn
title: Occurrence Download

description: A dataset containing 580 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene ciliata Vogel"
 ]
}

 The dataset includes 580 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032455-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q296wk
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.58615 50.08955,8.60782 50.08955,8.60782 51.69751,4.58615 51.69751,4.58615 50.08955))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cricetus cricetus (Linnaeus, 1758)"
 ]
}

 The dataset includes 281 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032456-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14204053
title: REFIT.AC v22 fire emissions for Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado"

description: Emissions for Amazon and Cerrado biome areas generated by the Remote sensing based Emission model by FIre types - Amazon and Cerrado (REFIT.AC)  for the publication Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado".

REFIT.AC is a bookkeeping-based fire model using ESA CCI biomass, LULCC data and MODIS based fire occurrence information (burned area and active fires). 

Emission information is provided in 0.1 degree spatial resolution for dry matter (DM), CO2, CO, CH4, NOx and PM2.5, in units of g/m2/month.
DOI: 10.5281/zenodo.14204054
title: REFIT.AC v22 fire emissions for Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado"

description: Emissions for Amazon and Cerrado biome areas generated by the Remote sensing based Emission model by FIre types - Amazon and Cerrado (REFIT.AC)  for the publication Forkel et al. "Burning of woody debris dominates fire emissions in the Amazon and Cerrado".

REFIT.AC is a bookkeeping-based fire model using ESA CCI biomass, LULCC data and MODIS based fire occurrence information (burned area and active fires). 

Emission information is provided in 0.1 degree spatial resolution for dry matter (DM), CO2, CO, CH4, NOx and PM2.5, in units of g/m2/month.
DOI: 10.15468/dl.n2dbhq
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeschynomene denticulata Rudd"
 ]
}

 The dataset includes 478 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032457-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rv5p8
title: Occurrence Download

description: A dataset containing 3656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.64631 44.18939,1.62776 44.13689,1.7877 44.08614,1.84005 44.17991,1.71292 44.20919,1.64631 44.18939))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 3656 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032458-241107131044228/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/10007460
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.14068425
title: Supplementary material for: Testing the peak-end rule in bumblebees: lack of preference for a higher-reward sequence when the final reward is disappointing

description: ABSTRACT

The peak-end rule describes the tendency to evaluate experiences by their most intense and final moments, rather than considering the entire experience as a whole. While this cognitive bias is well-established in humans, studies on nonhuman animals are very limited. Bumblebees make foraging decisions largely based on past experiences, but whether peak-end effects influence their subsequent flower choices is still unknown. Here, we trained individual Bombus terrestris workers on two artificial flower types, blue and yellow, over 12 consecutive foraging bouts. One flower type offered a sequence of three high-quality rewards (25 μL drops of 50% w/w sucrose solution: “consistent” sequence), while the other provided the same sequence but ended with an additional, lower-quality reward (25 μL drop of 20% w/w sucrose solution: “poor end” sequence). We then tested the bees' flower type preference in a final binary choice. Bees showed a strong preference for blue flowers, both in their initial and overall visits. Across all visits during a 1-minute period, they also favoured flowers associated with the “consistent” sequence, though this preference was significant only when these flowers were yellow. Interestingly, despite offering more sucrose per foraging bout, bees did not favour the “poor end” sequence flower. This study is, to our knowledge, the first to investigate peak-end effects in an insect. How bees evaluate sequential rewards when foraging remains largely unexplored, yet could provide valuable insights into nectar distribution and plant-pollinator co-evolution.