cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.iuryaq
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Formicivora melanogaster Pelzeln, 1868"
 ]
}

 The dataset includes 301 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010880-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy85ra
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pampusana kubaryi (Finsch, 1880)"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005488-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxm7ce
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia flanaganii N.E.Br."
 ]
}

 The dataset includes 138 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049757-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmx9eu
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus curtisii Blakely & C.T.White"
 ]
}

 The dataset includes 446 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005500-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkhnoj
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dacryodes nervosa (H.J.Lam) Leenh."
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010880-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4v8d4
title: Occurrence Download

description: A dataset listing the 5423 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON ((-65.12031000843011 -24.78949998052595, -63.823420016620155 -24.78949998052595, -63.823420016620155 -22.472409972817893, -65.12031000843011 -22.472409972817893, -65.12031000843011 -24.78949998052595))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 5423 records were derived from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012574-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evq6jq
title: Occurrence Download

description: A dataset containing 2822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sargassum muticum (Yendo) Fensholt",
 "Geometry POLYGON((-24.368297 72.843754,-24.368297 8.883842,44.731251 8.883842,44.731251 72.843754,-24.368297 72.843754))",
 "EventDate is greater than or equal to 1984-01-01"
 ]
}

 The dataset includes 2822 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010881-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvwvqh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Codonoboea albina (Ridl.) Kiew"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005462-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010362
title: Data Challenge - Individualized MIC estimations and optimal discrete time dosing policies

description: We see antimicrobial resistance given current available resources as a ‘policy’ problem, that there exist individualized ground truth ‘ideal’ (continuous time) cumulative dosage curves for each individual affected by an infection, but with vastly different underlying medical conditions. We see building discrete time, practical and personal antibiotic dosing policies as being a stop gap which improves patient outcomes and is very practical to implement in existing health systems, especially ones in developing countries.
We would like access to the Vivli data set to work on the following problems: a) produce a probability distribution (classifier) of recommended antibiotics based on symptoms and patient characteristics, b) interpolate minimum inhibitory concentration (MIC) curves required for the prescribed antibiotic(s) with respect to observable patient characteristics either as a univariate or multivariate problem, b) given interpolated MIC values for N recommended (N >= 1) antibiotics to treat a patient, generate optimal discrete time dosing strategies for antibiotic(s) recommended.
For example, a patient observed with pneumonia could have a distribution of several antibiotics prescribed from the classifier as being effective at treatment. Our tool would allow a user to input a hard limit on combination antibiotics therapies (minimum 1), and for each antibiotic prescribe how much is to be administered over a period. This would be a practical tool that would be to the aid of the physician, for example if the physician agreed with the classifier’s assessment of treatments, he could then ask for single or combination dosing strategies to treat the patient based on input patient characteristics.
DOI: 10.15468/dl.wrbkdc
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vulpes vulpes ichnusae Miller, 1907)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042263-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e7usv
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vulpes vulpes schrencki Kishida, 1924)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 201 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042264-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25398/rd.northumbria.26321983
title: "‘Dysfunctional’ appeals and failures of algorithmic justice in Instagram and TikTok content moderation" - interview transcripts

description: This is the repository concerning the interview connected to the above study, 12 interviews carried out with censored, marginalised content creators in the UK, Ireland, Italy, Australia and the USA.The linked study examines users’ perceptions of justice when using appeals on Instagram and TikTok, focusing on the barriers de-platformed users across fields like activism, sex work, sex education and LGBTQIA+ self-expression face when using these platforms’ automated appeals to recover their de-platformed content and/or accounts. Examining appeals from a platform governance standpoint and drawing from fairness and due process literature, this study finds concerning loopholes within these platforms’ appeals, leaving room for discrimination, fraud and scams and leading to user disempowerment. Through interviews with de-platformed users, this paper reveals significant barriers faced by particularly transgender and sex working users when recovering their de-platformed accounts through in-platform appeals. With metaphors of an ‘algorithmic cop, jury and judge’, this paper concludes that the needs of marginalised users have been designed out of content moderation and of platforms’ processes, leading them to experience the appeals system as opaque, unfair and unjust.
DOI: 10.25398/rd.northumbria.26321983.v1
title: "‘Dysfunctional’ appeals and failures of algorithmic justice in Instagram and TikTok content moderation" - interview transcripts

description: This is the repository concerning the interview connected to the above study, 12 interviews carried out with censored, marginalised content creators in the UK, Ireland, Italy, Australia and the USA.The linked study examines users’ perceptions of justice when using appeals on Instagram and TikTok, focusing on the barriers de-platformed users across fields like activism, sex work, sex education and LGBTQIA+ self-expression face when using these platforms’ automated appeals to recover their de-platformed content and/or accounts. Examining appeals from a platform governance standpoint and drawing from fairness and due process literature, this study finds concerning loopholes within these platforms’ appeals, leaving room for discrimination, fraud and scams and leading to user disempowerment. Through interviews with de-platformed users, this paper reveals significant barriers faced by particularly transgender and sex working users when recovering their de-platformed accounts through in-platform appeals. With metaphors of an ‘algorithmic cop, jury and judge’, this paper concludes that the needs of marginalised users have been designed out of content moderation and of platforms’ processes, leading them to experience the appeals system as opaque, unfair and unjust.
DOI: 10.5281/zenodo.13132496
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.13132497
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.15468/dl.65jyrf
title: Occurrence Download

description: A dataset containing 530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca alopecuros Schousb.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 530 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042265-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010386
title: Data Challenge

description: Antimicrobial resistance (AMR) refers to the capacity of microorganisms to withstand the effects of antimicrobial agents that were previously effective in treating infections they cause. The rapid proliferation of AMR constitutes a significant global health threat, resulting in millions of fatalities annually. This issue is further exacerbated by the overuse and misuse of antibiotics across human, animal, and environmental contexts. (1) Comprehensive analysis of datasets containing variables such as minimum inhibitory concentrations (MICs), country of collection, infection and specimen type, year, microorganisms, antimicrobials used, and basic demographic information could provide valuable insights, potentially contributing to the mitigation of AMR and information of public health practice.
We aim to employ machine learning and deep learning models to analyze the extensive AMR datasets available in this Data Challenge. These models have advantages over conventional statistical models in their ability to handle big data. Given the substantial volume of the datasets, employing descriptive, trend, comparative, and cluster analyses is anticipated to yield significant findings. Various machine learning and deep learning techniques—including classification, regression, clustering, dimensionality reduction, and neural networks—will be utilized to maximize the insights gained.
Specifically, we intend to predict the resistance profiles of pathogens using MIC values, identify regional variations in resistance patterns based on country-specific data, and discern trends in AMR over the 20-year period using the temporal information in the datasets. The results of the analysis will be shared with the sponsors of the Data Challenge and published in journals as guided.  Recognition and elucidation of resistance patterns will guide antimicrobial stewardship and improve patient outcomes. Overall, these findings will provide policymakers evidence-based platforms to make informed decisions thereby contributing to the strengthening of health systems.

References
1.	Mohammad, Irfan., Alhomidi, Almotiri., Zeyad, Abdullah, Alzeyadi. Antimicrobial Resistance and Its Drivers—A Review. Antibiotics, (2022). doi: 10.3390/antibiotics11101362
DOI: 10.15468/dl.46fcqy
title: Occurrence Download

description: A dataset containing 9524 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phylogenomics and the rise of the angiosperms"
 ]
}

 The dataset includes 9524 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042266-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12820888
title: Dataset for Usability Study of a Sign Language Learning Tool
DOI: 10.5281/zenodo.12820889
title: Dataset for Usability Study of a Sign Language Learning Tool
DOI: 10.15468/dl.ma6yec
title: Occurrence Download

description: A dataset containing 1659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.2_1, CHN.2.1_1, CHN.2.1.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Garrulax davidi (Swinhoe, 1868)",
 "Year 2020-2024"
 ]
}

 The dataset includes 1659 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042269-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13121913
title: 3D-STransformer数据集
DOI: 10.5281/zenodo.13132391
title: 3D-STransformer数据集
DOI: 10.15468/dl.dzjhbc
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gypsophila struthium subsp. struthium"
 ]
}

 The dataset includes 265 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029328-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my22ws
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gypsophila tomentosa L."
 ]
}

 The dataset includes 437 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028914-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25522/manifesto.mpds.2015a
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25835/0002938
title: Wavelength specific behavior of the Western Flower Thrips

description: The data are part of the MSc-Thesis of Markus Pietruska and Axel Waldherr (Gartenbauwissenschaften) with the title: "Verwendung von LED basierten schmalbandigen Lichtquellen zur Untersuchung der Farbpräferenz von Thripsen" from 2017 at Institute of Horticultural production Systems, Sect. Phytomedicine. All data are count data of recaptured thrips on visual traps.

All data are published 2020 in the journal Insects; title: Wavelength-Specific Behavior of the Western Flower Thrips (Frankliniella occidentalis): Evidence for a Blue-Green Chromatic Mechanism; https://doi.org/10.3390/insects11070423

Detailed methods of data collection and analyses are desribed in the paper and MSc thesis as mentioned above. The files were created by MS Excel 2016.
DOI: 10.15468/dl.engt9m
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gypsophila bermejoi G.López"
 ]
}

 The dataset includes 134 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029310-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c6wsxd2jz5.2
title: Sequence alignment data for trypanosomatidae parasites found in Philornis downsi from the Galapagos Islands

description: Sequences of parasites in Philornis downsi, an invasive parasitic Dipteran species, were obtained via PCR tests targeting the 18S rRNA gene of the Trypanosomatidae family. This is a sequence alignment to identify the trypanosomatid sequences obtained from P. downsi adults in the Galapagos Islands. This alignment includes known insect trypanosomatid sequences and avian trypanosome outgroup sequences. This alignment was made in MEGA6, using Clustal W.
DOI: 10.4225/03/59e6ecfe5309d
title: Comparison of pre-filter and post-filter ionised calcium monitoring in continuous veno-venous hemodiafiltration (CVVHD-F) with citrate anti-coagulation

description: A data set of pre and post filter ionised calcium values and filter parameters in patients receiving CRRT. Observational Study
DOI: 10.13026/xhrz-ht59
title: EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM)

description: The EchoNotes Structured Database derived from MIMIC-III (ECHO-NOTE2NUM) is a
structured echocardiogram database derived from 43,472 observational notes
obtained during echocardiogram studies conducted in the intensive care unit at
the Beth Israel Deaconess Medical Center between 2001 and 2012. The database
encompasses various aspects of cardiac structure and function, including
cavity size, wall thickness, systolic and diastolic function, valve
regurgitation and stenosis, as well as pulmonary pressures. To facilitate
extensive data analysis, the clinical notes were transformed into a structured
numerical format. Within each echocardiogram report sentence, specific words
or phrases were identified to describe abnormal findings, and a severity
staging system using numeric categories was established. This large publicly-
accessible database of structured echocardiogram data holds significant
potential as a tool to investigate cardiovascular disease in the intensive
care unit.
DOI: 10.17633/rd.brunel.24119271
title: Cross-cultural study of abortion attitudes - data file

description: General population samples of individuals living in Mexico (N = 215), India (N = 215), the United States (N = 215), and the United Kingdom (N = 206) were recruited using Qualtrics Panels (incentivised at £4 per completion) in March 2022. Participants reported an average age of 41yrs (<i>SD</i> = 15.39), 45% were women and 54% were men (4 non-response and 1 identified as non-binary), most had at least some University-level education (18% started and 43% had completed a degree at University), were heterosexual (87%), married (52%), and had children (66%). Participants represented a range of political attitudes (13% conservative, 12% somewhat conservative, 27% moderate, 18% somewhat liberal, and 30% liberal). A total sample size of N = 851 was obtained, to ensure a sample of 200 per country after any participant attrition.
DOI: 10.5066/f7ft8k74
title: Map of whooping crane migration corridor

description: The whooping crane (Grus americana) is a listed endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and winter along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent migration corridors and precision estimates for this population that can be used for conservation planning activities, including targeting conservation, mitigation, and recovery actions and assessing threats.
DOI: 10.5281/zenodo.3701453
title: PaCaBa - Parking Cars Barcelona Dataset

description: The PaCaBa (<strong>Pa</strong>rking <strong>Ca</strong>rs <strong>Ba</strong>rcelona) dataset is a WorldView-3 stereo satellite image dataset with labeled parking cars. It consists of three parts: Raw geotiff images with polygon annotations of cars. Image patches of size 540x540 with rotated bounding box annotations of parking cars. This part is suitable for training and testing of a parking cars detector. Image patches of size 540x540 with rotated bounding box annotations of cars (either moving or static) in both images. This part is again suitable for training and testing, but for the task of general car detection in satellite images. The image data is available for four connected regions in the city of Barcelona covering roughly 5 km<sup>2</sup>. The four regions of interest include all street areas whereas other areas are masked out in the images. Annotation of these areas has given 12088 and 12248 cars in the individual stereo images, respectively, and 7303 parking cars.