cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8et2nm
title: Occurrence Download

description: A dataset containing 393 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 one of (Eucalyptus curtisii Blakely & C.T.White)"
 ]
}

 The dataset includes 393 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011845-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.12188
title: Dataset and codebook for: Encouraging others to save water: Using social norms and definitions of the self to predict a public-sphere behavior

description: Dataset and codebook for Encouraging others to save water: Using social norms and definitions of the self to predict a public-sphere behavior
DOI: 10.15468/dl.t6ehh8
title: Occurrence Download

description: A dataset containing 53907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanessa virginiensis (Drury, 1773)"
 ]
}

 The dataset includes 53907 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011842-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48677/c1745406-af4e-49fa-9df1-5cc25be8a02f
title: Digitales Landschaftsmodell - Bauten Stichtag 18.11.2024

description: Der Objektbereich DLM - Bauten umfasst in Form von hochgenauer Vektorgrafik mit Attributen als Basis für Geographische Informationssysteme flächendeckend für Österreich die Elemente:
• Objekte (koordinative Bezugspunkte – POI) aus den Bereichen Kommunale Einrichtungen, Betriebseinrichtungen, Kultur, Freizeit und Sport, Schutzeinrichtungen
• Sonstige linienhafte Objekte (z.B. Bob-, Rodelbahn)
• Anlagen und Bauwerke für Versorgung (Stromleitungen und Strommasten)

Stichtag = Erstellungsdatum:
 Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
 Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.15468/dl.nx6dvu
title: Occurrence Download

description: A dataset containing 2454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Afrocarpus falcatus (Thunb.) C.N.Page"
 ]
}

 The dataset includes 2454 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011847-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmvf25
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora setulosa Killip"
 ]
}

 The dataset includes 60 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011848-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3np3yu
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cookeolus japonicus (Cuvier, 1829)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011849-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/5zzp-j9x2
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/9qa7-szby
title: Precipitation_amount at Sepstrup Sande

description: Measurement of Precipitation_amount at Sepstrup Sande
DOI: 10.48597/dmsr-3akc
title: Copper at Sepstrup Sande

description: Measurement of Copper at Sepstrup Sande
DOI: 10.48597/n5rr-vj9d
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/py5w-qqmg
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/tngt-gbaz
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/hbrf-ysew
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/2rq6-xh4n
title: Precipitation_amount at Sepstrup Sande

description: Measurement of Precipitation_amount at Sepstrup Sande
DOI: 10.48597/emg8-4h7v
title: Zinc at Sepstrup Sande

description: Measurement of Zinc at Sepstrup Sande
DOI: 10.48597/uqb3-zcnt
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/3py7-2wrr
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/78pn-pn4t
title: Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/9etf-7unn
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/fzjv-szuu
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/sff7-vn2m
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/tgsb-f4t6
title: Measurement of Precipitation_amount at Sepstrup Sande

description: Measurement of Precipitation_amount at Sepstrup Sande
DOI: 10.48597/tj6d-wt5u
title: Measurement of Copper at Sepstrup Sande

description: Measurement of Copper at Sepstrup Sande
DOI: 10.48597/uqw8-89w3
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/t3j5-qu7y
title: Measurement of Zinc at Sepstrup Sande

description: Measurement of Zinc at Sepstrup Sande
DOI: 10.48597/8a75-rzkm
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/cj48-f9te
title: Measurement of Precipitation_amount at Sepstrup Sande

description: Measurement of Precipitation_amount at Sepstrup Sande
DOI: 10.48597/9vrt-kua2
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/ve77-4vfp
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/ryfg-4pak
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/a399-xmsp
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/bvt5-zk6n
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.5284/1124589
title: Images and Text from an Archaeological Watching Brief and Excavations at Maldon Lodge, Woolton Road, Wavertree township, Liverpool, Merseyside, 2022-2023

description: This collection comprises images and reports from an archaeological watching brief and excavations at Maldon Lodge, Woolton Road, Wavertree township, Liverpool, Merseyside undertaken by Oxford Archaeology (North) in June 2022 - November 2023.
DOI: 10.48597/czv5-meps
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/j8vq-qnub
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/jexc-ufyk
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/u9r9-5tmw
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.15468/dl.ya964b
title: Occurrence Download

description: A dataset containing 1853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Naja naja (Linnaeus, 1758)"
 ]
}

 The dataset includes 1853 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011851-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/wank-f6nc
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/wp95-j3b9
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.48597/xdq5-pvsv
title: Measurement of Heavy metals at Sepstrup Sande

description: Measurement of Heavy metals at Sepstrup Sande
DOI: 10.5281/zenodo.14259961
title: BDFoodSent: A Large-Scale Sentiment-Labeled Restaurant Review Dataset from Bangladesh

description: BDFoodReview is a large-scale dataset containing 334,119 restaurant reviews collected from "Foodpanda Bangladesh". The dataset includes customer reviews in mixed languages (Bangla, English, and Banglish), translated into English, along with their corresponding ratings and sentiment labels.

 

Dataset Statistics

Total Reviews: 334,119

Features/Columns: 19

 

Potential Applications

Sentiment Analysis

Restaurant Review Classification

Customer Satisfaction Analysis

Opinion Mining

Natural Language Processing Research

Food Service Industry Analysis
DOI: 10.5281/zenodo.14259962
title: BDFoodSent: A Large-Scale Sentiment-Labeled Restaurant Review Dataset from Bangladesh

description: BDFoodReview is a large-scale dataset containing 334,119 restaurant reviews collected from "Foodpanda Bangladesh". The dataset includes customer reviews in mixed languages (Bangla, English, and Banglish), translated into English, along with their corresponding ratings and sentiment labels.

 

Dataset Statistics

Total Reviews: 334,119

Features/Columns: 19

 

Potential Applications

Sentiment Analysis

Restaurant Review Classification

Customer Satisfaction Analysis

Opinion Mining

Natural Language Processing Research

Food Service Industry Analysis
DOI: 10.15468/dl.u9gsvw
title: Occurrence Download

description: A dataset containing 22306412 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Portugal"
 ]
}

 The dataset includes 22306412 records from 2091 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011829-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vx7r5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus palungensis C.H.Cannon & Manos"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000522-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjgxg3
title: Occurrence Download

description: A dataset containing 4921 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gampsocleis Fieber, 1852"
 ]
}

 The dataset includes 4921 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000523-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sw7mxn
title: Occurrence Download

description: A dataset containing 2959543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Aves",
 "Year 2010-2025"
 ]
}

 The dataset includes 2959543 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vzb7b
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus bassacensis (Hickel & A.Camus) Barnett"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000524-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmqmer
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus beccarianus (Benth.) A.Camus"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000516-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bw4ha
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus papillifer Hatus. ex Soepadmo"
 ]
}

 The dataset includes 72 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000525-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp2hxg
title: Occurrence Download

description: A dataset containing 62886 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylarana latouchii (Boulenger, 1899)"
 ]
}

 The dataset includes 62886 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000509-250227182400228/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.28512482
title: Appendix 1 Hermeneutics and Urban Planning.odt

description: This appendix supplements the paper’s analysis by synthesizing hermeneutical frameworks and their application to urban case studies. Table 1 outlines key hermeneutical perspectives (Dilthey, Gadamer, Ricoeur, Foucault, Tosh), detailing their core ideas, practical applications, and methodological implications for urban research. Table 2 applies these frameworks to pivotal historical moments (Industrial Revolution, Civil Rights era, 21st-century megacities), demonstrating their utility in analyzing sociopolitical and spatial dynamics. Tables 3–6 offer comparative case studies of Berlin’s postwar reconstruction, Haussmann’s Paris, and Central Park’s creation, illustrating how Dilthey’s historical holism (Table 3–4), Gadamer’s dialogic engagement (Table 5), and Foucault’s power critique (Table 6) translate into actionable insights for reflexive, context-sensitive planning. Collectively, these tables provide a structured foundation for integrating hermeneutical theory into urban scholarship and practice.
DOI: 10.6084/m9.figshare.28512482.v1
title: Appendix 1 Hermeneutics and Urban Planning.odt

description: This appendix supplements the paper’s analysis by synthesizing hermeneutical frameworks and their application to urban case studies. Table 1 outlines key hermeneutical perspectives (Dilthey, Gadamer, Ricoeur, Foucault, Tosh), detailing their core ideas, practical applications, and methodological implications for urban research. Table 2 applies these frameworks to pivotal historical moments (Industrial Revolution, Civil Rights era, 21st-century megacities), demonstrating their utility in analyzing sociopolitical and spatial dynamics. Tables 3–6 offer comparative case studies of Berlin’s postwar reconstruction, Haussmann’s Paris, and Central Park’s creation, illustrating how Dilthey’s historical holism (Table 3–4), Gadamer’s dialogic engagement (Table 5), and Foucault’s power critique (Table 6) translate into actionable insights for reflexive, context-sensitive planning. Collectively, these tables provide a structured foundation for integrating hermeneutical theory into urban scholarship and practice.
DOI: 10.15468/dl.qnpqu3
title: Occurrence Download

description: A dataset containing 27802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation)",
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalacrocorax punctatus (Sparrman, 1786)"
 ]
}

 The dataset includes 27802 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000526-250227182400228/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.28365782
title: Raw data salivary microbiome using 16s barcoding kit 24 V14, ONT (Oxford Nanopore Technology)

description: It contained salivary microbiome <b>and periodontopathogen/</b><b>denitrifying bacteria associated with gingivitis and periodontitis in people with type 2-diabetes</b>
DOI: 10.48597/kcq7-2d2s
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/2gnj-jf6f
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/993t-rv2h
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/bv3z-p4g3
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/cfm7-vwz4
title: Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/qhnp-ey95
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/r588-fuaw
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/xmhf-v82u
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.48597/a3ca-b25v
title: Measurement of Aerosol_optical_depth at Bondville

description: Measurement of Aerosol_optical_depth at Bondville
DOI: 10.15468/dl.ntwsn6
title: Occurrence Download

description: A dataset containing 725635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2019-2020"
 ]
}

 The dataset includes 725635 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000506-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8errc8
title: Occurrence Download

description: A dataset containing 1999 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylarana taipehensis (Van Denburgh, 1909)"
 ]
}

 The dataset includes 1999 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000518-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14257989
title: LO2: Microservice Dataset of Logs and Metrics

description: LO2 dataset

This is the data repository for the LO2 dataset.

Here is an overview of the contents.

lo2-data.zip

This is the main dataset. This is the completely unedited output of our data collection process. Note that the uncompressed size is around 540 GB. For more information, see the paper and the data-appendix in this repository.

lo2-sample.zip

This is a sample that contains the data used for preliminary analysis. It contains only service logs and the most relevant metrics for the first 100 runs. Furthermore, the metrics are combined on a run level to a single csv to make them easier to utilize. 

data-appendix.pdf

This document contains further details and stats about the full dataset. These include file size distributions, empty file analysis, log type analysis and the appearance of an unknown file.

lo2-scripts.zip

Various scripts for processing the data to create the sample, to conduct the preliminary analysis and to create the statistics seen in the data-appendix.



csv_generator.py, csv_merge*.py: These scripts create and combine the metrics into csv files. They need to be run in order. Merging runs to global is very memory intensive.

findempty.py: Finds empty files in the folders. As some are expected to be empty, it also counts the unexpected ones. Used in data-appendix.

loglead_lo2.py: Script for the preliminary analysis of the logs for error detection. Requires LogLead version 1.2.1.

logstats.py: Counts log lines and their type. Used for creating the figure of number of lines per type and service.

node_exporter_metrics.txt: Metric descriptions exported from Prometheus (text file).

pca.py: The Principal Component Analysis script used for preliminary analysis.

reduce_logs.py: Very important for fair analysis as in the beginning of the files there are some initialization rows that leak information regarding correctness.

requirements.txt: Required Python libraries to run the scripts.

sizedist.py: Creating distributions of file sizes per filename for the data-appendix.


Version v3: Updated data appendix introduction, added another stage in the log analysis process in loglead_lo2.py