cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t2zk3xnt8y
title: Generated Prediction Data of COVID-19's Daily Infections in Brazil

description: Dataset general description: • This dataset reports 4200 recurrent neural network models, their settings, and their relevant generated files (including prediction csv files, graphs, and metadata files, as applicable), for predicting COVID-19's daily infections in Brazil by training on limited raw data (30 and 40 time-steps). The used code is developed by the author and located in the following online data repository link: http://dx.doi.org/10.17632/yp4d95pk7n.3 Dataset content: • Models, Graphs, and csv predictions files: 1. Deterministic mode (DM): includes 1197 generated models' files (30 time-steps), and their generated 2835 graphs and 2835 predictions files. Similarly, this mode includes 1976 generated models' files (40 time-steps), and their generated 7301 graphs and 7301 predictions files. 2. Non-deterministic mode (NDM): includes 20 generated models' files (30 time-steps), and their generated 53 graphs and 53 predictions files. 3. Technical validation mode (TVM): includes 1001 generated models' files (30 time-steps), and their generated 3619 graphs and 3619 predictions files for 349 models (out of a 358 sample but 9 models didn't achieve the accuracy threshold), which are a sample of 1001 models. Also, all data of the control group - India (1 model). 4. 1 graph and 1 prediction files for each of DM and NDM, reporting evaluation till 2020-07-11. 5. The evaluation of performance for 10, 20, 30, 40, and 50 time-steps alternatives (5 models). • Settings and metadata for the above 3 categories: 1. Used settings during the training session in json files. 2. Metadata: training / prediction setup and accuracy in csv files. Raw data source used to train the models: • The used raw data [1] for training the models is from: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University) : https://github.com/CSSEGISandData/COVID-19 (accessed 2020-07-20) • The following raw data links were used (both accessed 2020-07-08): 1. till 2020-06-29: https://github.com/CSSEGISandData/COVID-19/raw/78d91b2dbc2a26eb2b2101fa499c6798aa22fca8/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv 2. till 2020-06-13: https://github.com/CSSEGISandData/COVID-19/raw/02ea750a263f6d8b8945fdd3253b35d3fd9b1bee/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv References: 1- Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1
DOI: 10.6084/m9.figshare.26487826.v1
title: DFT study of the ring opening of cyclohexene oxide by an aminophosphonium salt

description: Data to support article:<br><b>Aminophosphonium organocatalysts for the ring-opening copolymerisation of epoxide and cyclic anhydride</b><br><i>Journal: Chemical Communications</i><br><i>Authors: </i>Ella F Clark<sup>a</sup>, Estelle Dunstan,<sup>a</sup> Gabriele Kociok-Köhn<sup>b</sup> and Antoine Buchard<sup>c</sup><sup>a</sup> Department of Chemistry, University of Bath, Bath, BA2 7AY, UK.<br><sup>b</sup> Materials and Chemical Characterisation Facility, University of Bath, UK<sup>c</sup> Department of Chemistry, University of York, York, YO10 5DD, UK<i>.</i>E-mail : antoine.buchard@york.ac.uk<br>Description:<br>DFT optimised geometries and computed free enthalpies of local minima (intermediates) and local maxima (transition states) were used to investigate the mechanism of the reaction between a molecule of cyclohexene oxide and an aminophosphonium bromide salt, to account for the epoxide ring opening initiation step of the ROCOP process.<br>Protocols:<br>Gaussian16 (rev C.01) software<br>Functional: rwB97XD; Solvent model: cpcm=(tetrahydrofuran)<br>Basis sets:<br>C H: 6-31+g(d,p)<br>N P O Br: 6-311+g(d)<br>Free enthalpies were recomputed using Grimme quasi-harmonic approximation of Grimme, with a cut off frequency of 100 cm<sup>–1</sup>, and a temperature and concentration correction (T=393.15 K, [CHO]=5.07 mol/L and [catalytic species]=0.0127 mol/L ).<br><br>Content:- Gaussian16 rev C.01 output files<br>- CHO ring opening.pdf, illustrating the calculations made and summarising the free enthalpies computed
DOI: 10.17632/pn276sy7yn
title: Development and validation of two robust simple chromatographic methods for estimation of tomatoes specific pesticides’ residues for safety monitoring prior to food processing line and evaluation of local samples

description: Food Chemistry Volume 306, 15 February 2020, 125640
DOI: 10.6084/m9.figshare.c.3619202_d2.v1
title: Additional file 4: Table S4. of Analysis of the interactome of the Ser/Thr Protein Phosphatase type 1 in Plasmodium falciparum

description: Pips identified by genome in silico analysis. (XLSX 13 kb)
DOI: 10.15468/dl.jbsmw4
title: Occurrence Download

description: A dataset containing 65274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mangifera indica L."
 ]
}

 The dataset includes 65274 records from 605 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014332-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g53t6c
title: Occurrence Download

description: A dataset containing 30713 species occurrences available in GBIF matching the query:
{
 "or" : [
 "Geometry POLYGON((-75.9986 6.57006,-75.97135 6.59311,-75.97135 6.59381,-75.97415 6.59381,-75.9986 6.57006))",
 "Geometry POLYGON((-75.95948 6.60988,-75.97834 6.5994,-76.01326 6.58264,-76.02304 6.56308,-76.03352 6.53234,-76.03981 6.5051,-76.03352 6.49253,-76.01326 6.49253,-75.99231 6.49392,-75.98253 6.48903,-75.96996 6.48484,-75.96576 6.47087,-75.95738 6.4576,-75.94621 6.46109,-75.94062 6.44922,-75.94411 6.43455,-75.94411 6.41359,-75.93503 6.39683,-75.91058 6.39683,-75.9029 6.40661,-75.88753 6.4108,-75.86169 6.4108,-75.85051 6.39962,-75.83374 6.40102,-75.82257 6.40451,-75.81838 6.42966,-75.82397 6.44363,-75.82257 6.49183,-75.82117 6.51558,-75.8072 6.51697,-75.80091 6.54771,-75.79812 6.58124,-75.81209 6.61197,-75.83235 6.65179,-75.83724 6.65877,-75.83305 6.68113,-75.84143 6.68462,-75.84911 6.67903,-75.86238 6.64969,-75.87286 6.64061,-75.88194 6.6476,-75.88264 6.63852,-75.89382 6.62944,-75.91407 6.65598,-75.92106 6.64411,-75.93154 6.61966,-75.95179 6.60848,-75.95948 6.60988))"
 ]
}

 The dataset includes 30713 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014333-250525065834625/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/12028787
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.jbm3v9
title: Occurrence Download

description: A dataset containing 2722347987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.73356 22.00142,-114.08865 9.50729,-89.32634 -1.02987,-76.41832 -22.63104,-84.84804 -33.16821,-68.77888 -67.6774,-45.86056 -63.9894,-30.05482 -57.93054,-37.95769 -32.11449,-45.86056 -2.34702,-29.0011 6.08271,-8.71707 -2.34702,12.35726 0.81413,28.42642 -15.7819,59.77448 -12.88418,82.57995 -0.12662,93.90738 -20.67408,118.66969 -37.53355,148.43718 -46.2267,158.18404 -29.36724,166.35032 -28.31351,169.77493 -21.46437,165.03321 -14.35179,136.05601 8.30311,128.41655 25.426,149.49088 41.75859,136.05601 51.50547,122.62113 40.17802,102.86395 40.70488,87.32163 51.50547,67.56445 45.4466,56.23702 39.38773,19.88382 65.99406,-15.67909 50.45175,-49.13458 39.1243,-79.95578 50.18832,-106.03525 47.55404,-128.95357 55.72033,-131.061 42.54888,-119.73356 22.00142))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2722347987 records from 57175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014290-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7het5p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9449 -26.0614,44.9648 -26.0621,44.9648 -25.1504,43.6164 -25.1504,43.93 -25.627,44.5871 -25.7989,44.9449 -26.0614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010386-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nykqkc
title: Occurrence Download

description: A dataset containing 37325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens glandulifera",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37325 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049883-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fb2zn
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spartina bakeri",
 "Year 1970-2025"
 ]
}

 The dataset includes 58 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025806-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smwuf6
title: Occurrence Download

description: A dataset containing 57249 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asclepias tuberosa"
 ]
}

 The dataset includes 57249 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025747-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/htm5ft
title: Replication Data for: Deserting or Disengaging with Valence Populists: The Decline in 5-Star Movement Partisan Preference

description: Within 18 months of its second consecutive general election (March 2018) as Italy’s largest party, the valence populist 5-Star Movement (M5S) had dropped to polling 4th, halving its 30% + vote-share, behind parties of both the right and the left. In those 18-months, the party participated in two governments: one of the right and one of the centre-left. Two broad explanations for such decline are presented here: party credibility loss related to its (non)-ideological placement and penalties associated with incumbency. The former is predicted to lead those who initially supported the party to disengage from party preferences while the later is predicted to have respondents desert their preference for M5S to other parties. Using Italian panel survey data on partisan representation from March 2018 through September 2020, this manuscript identifies the opinions of those who those who deserted the party, those who disengaged from party preferences, and those who remained loyal to M5S. Descriptive analysis will first call attention to the differences between loyalists, deserters, the disengaged, and survey respondents more broadly. Multivariate analysis suggests the role of incumbency-based factors as an explanation for a decline in party support. The ideological position of the party (or being beyond left-and-right) had only a minor role. A discussion then focuses on the results of populists in power and the role of ideology in valence populism. Without an ideological core, once in power, voters punish (valence) populist party as they would any other, holding them to account for leadership and government performance.
description: Replication .dta and .do commands
DOI: 10.15468/dl.k9ybrm
title: Occurrence Download

description: A dataset containing 634257 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario Español de Especies Terrestres (MAGRAMA)"
 ]
}

 The dataset includes 634257 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006808-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/8e958ab3-1b46-4a88-bef9-0cef7b25e9a9
title: Data underlying the PhD. dissertation "A reduced-order nonlinear aeroelastic framework for wings undergoing large deflections"

description: The dataset contains the supporting data for the results of the numerical analyses presented in Chapters 2- 5 of the dissertation. The data is organized according to the Chapter numbers and the Figure numbers as defined in the dissertation. The objective of this research was to construct a reduced-order nonlinear aeroelastic model for investigating large deflection behaviour in aircraft wings. To this end, the work was carried out with the following steps - construction and validation of a structural reduced-order model (ROM) for nonlinear static and dynamic analyses, coupling of the structural ROM to an aerodynamics model and numerical validation of the coupled model. The results include nonlinear static analyses using the structural ROM (Chapter 2), large amplitude dynamic analyses using the ROM (Chapter 3), nonlinear static and dynamic analyses of a benchmark wing model (Chapter 4) and finally, the results from nonlinear aeroelastic studies (nonlinear static aeroelastic, flutter and limit cycle oscillations) obtained from the coupled model, presented in Chapter 5. All of the stored data has been generated using the numerical model developed in the research. The data files include MATLAB data files and codes for plotting the results.
DOI: 10.4121/8e958ab3-1b46-4a88-bef9-0cef7b25e9a9.v1
title: Data underlying the PhD. dissertation "A reduced-order nonlinear aeroelastic framework for wings undergoing large deflections"

description: The dataset contains the supporting data for the results of the numerical analyses presented in Chapters 2- 5 of the dissertation. The data is organized according to the Chapter numbers and the Figure numbers as defined in the dissertation. The objective of this research was to construct a reduced-order nonlinear aeroelastic model for investigating large deflection behaviour in aircraft wings. To this end, the work was carried out with the following steps - construction and validation of a structural reduced-order model (ROM) for nonlinear static and dynamic analyses, coupling of the structural ROM to an aerodynamics model and numerical validation of the coupled model. The results include nonlinear static analyses using the structural ROM (Chapter 2), large amplitude dynamic analyses using the ROM (Chapter 3), nonlinear static and dynamic analyses of a benchmark wing model (Chapter 4) and finally, the results from nonlinear aeroelastic studies (nonlinear static aeroelastic, flutter and limit cycle oscillations) obtained from the coupled model, presented in Chapter 5. All of the stored data has been generated using the numerical model developed in the research. The data files include MATLAB data files and codes for plotting the results.
DOI: 10.14284/354
title: World Cumacea Database. Accessed at https://www.marinespecies.org/cumacea on yyyy-mm-dd

description: A world checklist of Cumacea, compiled by taxonomic experts and based on peer-reviewed literature.
description: Cumaceans are small crustaceans, generally 1-10mm in size, which occur from tidal to abyssal depths in marine (and brackish) waters throughout the world. They are found in the first few cms of sand or sand/mud substrates; while they may be locally abundant, their distributions are patchy. Cumaceans feed on microorganisms and organic matter and are, in turn, consumed by bottom feeding organisms including a number of fishes.

These malacostracans are distinguished by a combination of features including a large carapace which covers many thorasic somites, a narrow, long abdomen, a forked tail, and, in many families, a telson. The sexes are conspicuously dimorphic: females lack pleopods (with one exception, of course!) and have a large brood chamber. The carapace is ornamented in many lineages and appendages are generally highly modified. The morphology of cumaceans is sufficiently distinctive that members of the order are easy to recognize.
DOI: 10.4121/491509e5-0687-4a6f-80cc-52e8b7ef3cc8
title: RELs database (Rainfall Events with Landslides) in Calabria

description: <strong>REL (Rainfall Events with Landslides) </strong>is a database of rainfall-induced landslides in the Calabria region (southern Italy) for the period <strong>1921–2020</strong>, compiled through historical research in archival documentary sources<strong>.</strong> It comprises <strong>3,006 records</strong>, each representing a reported rainfall-induced landslide in Calabria during 1921–2020 that caused some form of damage significant enough to be recorded in historical sources.Each record includes <strong>seven fields</strong>, representing:<br><strong>ID:</strong> the record identification number<strong>Year:</strong> the year of occurrence of the landslide<strong>Month:</strong> the month of occurrence<strong>Day:</strong> the day of occurrence<strong>Municipality:</strong> the municipality where the landslide occurred<strong>Duration (days):</strong> the duration of the triggering rainfall event<strong>Cumulative rainfall (mm):</strong> the total rainfall recorded over the days defining the event.<br><br>
DOI: 10.4121/491509e5-0687-4a6f-80cc-52e8b7ef3cc8.v1
title: RELs database (Rainfall Events with Landslides) in Calabria

description: <strong>REL (Rainfall Events with Landslides) </strong>is a database of rainfall-induced landslides in the Calabria region (southern Italy) for the period <strong>1921–2020</strong>, compiled through historical research in archival documentary sources<strong>.</strong> It comprises <strong>3,006 records</strong>, each representing a reported rainfall-induced landslide in Calabria during 1921–2020 that caused some form of damage significant enough to be recorded in historical sources.Each record includes <strong>seven fields</strong>, representing:<br><strong>ID:</strong> the record identification number<strong>Year:</strong> the year of occurrence of the landslide<strong>Month:</strong> the month of occurrence<strong>Day:</strong> the day of occurrence<strong>Municipality:</strong> the municipality where the landslide occurred<strong>Duration (days):</strong> the duration of the triggering rainfall event<strong>Cumulative rainfall (mm):</strong> the total rainfall recorded over the days defining the event.<br><br>
DOI: 10.5281/zenodo.18428511
title: RIGOR-MED_Reference_Database_20260130

description: Reference Forest Disturbance Database developed to support the validation of multiple forest disturbance mapping products within the RIGOR-MED project. The database was completed through systematic photointerpretation in Collect Earth Online (CEO) and covers nearly 2,900 sampling units and more than 3,400 disturbance polygons across 13 Southern European countries for the period 2000–2023.

The database is distributed as two interoperable GeoPackage (GPKG) files:





Disturbance polygons delineating areas where forest disturbance was visually confirmed. Each polygon includes core attributes such as disturbance type (clear-cutting, forest fire, pest damage, windthrow, other), year of onset, an ordinal magnitude estimate, an indicative time to recovery of vegetation cover, the primary imagery source used for interpretation, and interpreter notes.




Sampling units (250 × 250 m) used as the operational validation frame. Each unit includes a unique identifier and a change/no-change label, enabling both binary and thematic accuracy assessments.



Reference information was compiled via systematic photo-interpretation of multi-sensor satellite imagery (primarily Landsat and Sentinel-2, complemented where available by very-high-resolution imagery) using the web-based Collect Earth Online (CEO) platform.
DOI: 10.5281/zenodo.18428512
title: RIGOR-MED_Reference_Database_20260130

description: Reference Forest Disturbance Database developed to support the validation of multiple forest disturbance mapping products within the RIGOR-MED project. The database was completed through systematic photointerpretation in Collect Earth Online (CEO) and covers nearly 2,900 sampling units and more than 3,400 disturbance polygons across 13 Southern European countries for the period 2000–2023.

The database is distributed as two interoperable GeoPackage (GPKG) files:





Disturbance polygons delineating areas where forest disturbance was visually confirmed. Each polygon includes core attributes such as disturbance type (clear-cutting, forest fire, pest damage, windthrow, other), year of onset, an ordinal magnitude estimate, an indicative time to recovery of vegetation cover, the primary imagery source used for interpretation, and interpreter notes.




Sampling units (250 × 250 m) used as the operational validation frame. Each unit includes a unique identifier and a change/no-change label, enabling both binary and thematic accuracy assessments.



Reference information was compiled via systematic photo-interpretation of multi-sensor satellite imagery (primarily Landsat and Sentinel-2, complemented where available by very-high-resolution imagery) using the web-based Collect Earth Online (CEO) platform.
DOI: 10.15468/dl.ganxbk
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens parviflora",
 "Year 1990-1994"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006812-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/kexvbm
title: Moleculaire detectie van pathogenen in afvalwater

description: Het doel van het project is om te komen tot een protocol voor sample en library preparation en tools voor het verminderen van humane ruis in het sequencing proces. 

Tijdens dit project wordt er gewerkt aan het opstellen van protocollen voor de moleculaire detectie van (met name SOA) pathogenen in afvalwater, op basis van Next-Generation Sequencing. Sample preparation is daarbij een belangrijk onderdeel in de keten van sample-to-answer en is tijdens dit project de hoofdopdracht voor de analist en studenten die hieraan werken. Dit is essentieel omdat humane nucleïnezuren het sequencingproces voor identificatie van pathogenen kunnen verstoren. Er wordt gestart met gespiked afvalwater samples om het identificatieproces beter te kunnen volgen.
description: Alle databestanden zijn in het gesloten data archief van Fontys gearchiveerd.
DOI: 10.15468/dl.g23ekk
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A new species of Acanthosaura Gray 1831 (Reptilia: Agamidae) from central Vietnam"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006813-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.