cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14257990
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 1.2.0.

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.
DOI: 10.5281/zenodo.14265858
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 v2: Fixed LogLead version number and minor changes in scripts
DOI: 10.5281/zenodo.14919966
title: Data anlysis  and model about a lab experiment on CCR

description: The implementation of the paper "Enhancing carbon credit policy’s sustainability by downward comparisons: Insights from a lab experiment ".
DOI: 10.5281/zenodo.14938118
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
DOI: 10.15468/dl.uy5fp4
title: Occurrence Download

description: A dataset containing 1275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia alcahes (F.A.C.Weber) F.M.Knuth"
 ]
}

 The dataset includes 1275 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413677-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14143647
title: Microfluidic stack reactors for the mass synthesis of polymer brushes

description: Polymer brush (PB) coatings represent a powerful method of tuning surface physicochemical properties in a broad number of fields including biosensing, which require PB synthesis onto 10–100 or more substrates per day. Typically, PBs are synthesized by surface-initiated atom transfer radical polymerization (SI-ATRP) in Schlenk reactors that need large volumes of solutions, imposing substantial economic challenges for mass synthesis, as typically only 0.1% or less of monomers are polymerized. Microfluidic synthesis offers a promising alternative for reducing chemical consumption; however, questions remain on how to perform such synthesis on a mass scale and furthermore, if PBs are of similar quality like those prepared via standard means. Here we present a microfluidic stack reactor designed for an efficient and user-friendly mass synthesis of PBs onto planar substrates. This reactor, 3D printed via stereolithography, consists of repeating units that are easy to fabricate and when stacked together, create a single fluidic pathway connecting an adjustable number of substrates, enhancing polymerization efficiency by over 100-fold. We employed the stack reactors to synthesize various PB structures (homogenous, random copolymer, block copolymer) combining two monomers commonly used in biosensing known for their antifouling properties: zwitterionic poly(carboxybetaine methacrylamide) (pCBMAA) and non-ionic poly[N-(2-hydroxypropyl) methacrylamide] (pHPMAA). Characterization by IRRAS, ellipsometry, XPS, contact angle, and surface plasmon resonance, confirmed that PBs synthesized in stack reactors are comparable to, if not superior to, those synthesized via standard SI-ATRP methods. These reactors are thus a promising tool for efficient, large-scale production of PB coatings and have potential for many applications.
DOI: 10.5281/zenodo.14143648
title: Microfluidic stack reactors for the mass synthesis of polymer brushes

description: Polymer brush (PB) coatings represent a powerful method of tuning surface physicochemical properties in a broad number of fields including biosensing, which require PB synthesis onto 10–100 or more substrates per day. Typically, PBs are synthesized by surface-initiated atom transfer radical polymerization (SI-ATRP) in Schlenk reactors that need large volumes of solutions, imposing substantial economic challenges for mass synthesis, as typically only 0.1% or less of monomers are polymerized. Microfluidic synthesis offers a promising alternative for reducing chemical consumption; however, questions remain on how to perform such synthesis on a mass scale and furthermore, if PBs are of similar quality like those prepared via standard means. Here we present a microfluidic stack reactor designed for an efficient and user-friendly mass synthesis of PBs onto planar substrates. This reactor, 3D printed via stereolithography, consists of repeating units that are easy to fabricate and when stacked together, create a single fluidic pathway connecting an adjustable number of substrates, enhancing polymerization efficiency by over 100-fold. We employed the stack reactors to synthesize various PB structures (homogenous, random copolymer, block copolymer) combining two monomers commonly used in biosensing known for their antifouling properties: zwitterionic poly(carboxybetaine methacrylamide) (pCBMAA) and non-ionic poly[N-(2-hydroxypropyl) methacrylamide] (pHPMAA). Characterization by IRRAS, ellipsometry, XPS, contact angle, and surface plasmon resonance, confirmed that PBs synthesized in stack reactors are comparable to, if not superior to, those synthesized via standard SI-ATRP methods. These reactors are thus a promising tool for efficient, large-scale production of PB coatings and have potential for many applications.
DOI: 10.15468/dl.jh58rb
title: Occurrence Download

description: A dataset containing 1124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia cholla (F.A.C.Weber) F.M.Knuth"
 ]
}

 The dataset includes 1124 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413670-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdrsws
title: Occurrence Download

description: A dataset containing 3228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-112 0,-15 0,-15 40,-112 40,-112 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia fulgida (Engelm.) F.M.Knuth"
 ]
}

 The dataset includes 3228 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413682-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s72wdy
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia ×kelvinensis (V.E.Grant & K.A.Grant) P.V.Heath"
 ]
}

 The dataset includes 157 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413681-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bemtey
title: Occurrence Download

description: A dataset containing 1976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138 5,-31 5,-31 67,-138 67,-138 5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia spinosior (Engelm.) F.M.Knuth"
 ]
}

 The dataset includes 1976 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413688-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4kq2h
title: Occurrence Download

description: A dataset containing 3332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cylindropuntia prolifera (Engelm.) F.M.Knuth"
 ]
}

 The dataset includes 3332 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0413668-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r4u3j
title: Occurrence Download

description: A dataset containing 3773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocereus dasyacanthus Engelm."
 ]
}

 The dataset includes 3773 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0412771-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fda6wk
title: Occurrence Download

description: A dataset containing 6029 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocereus coccineus (Engelm.) Engelm."
 ]
}

 The dataset includes 6029 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0412769-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfn537
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia ×alta Griffiths"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418390-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4e8w6
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinocereus ×roetteri Engelm. ex Rümpler"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0436095-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2syf29
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia aureispina (S.Brack & K.D.Heil) Pinkava & B.D.Parfitt"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418400-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mvwhg
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia camanchica Engelm. & J.M.Bigelow"
 ]
}

 The dataset includes 178 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418401-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rd5uz
title: Occurrence Download

description: A dataset containing 1222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia engelmannii Salm-Dyck ex Engelm."
 ]
}

 The dataset includes 1222 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418391-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ybbx5
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus extensus (DC.) Leuenb."
 ]
}

 The dataset includes 9 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432177-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8t37b
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia ×spinosibacca M.S.Anthony"
 ]
}

 The dataset includes 72 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418398-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5sy52
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99 -54,4 -54,4 34,-99 34,-99 -54))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus megalanthus (Schum. ex Vaupel) Moran"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432166-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g4yfd
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus monacanthus (Lem.) D.R.Hunt"
 ]
}

 The dataset includes 178 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432160-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pfg32
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -83,-19 -83,-19 50,-180 50,-180 -83))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus ocamponis (Salm-Dyck) D.R.Hunt"
 ]
}

 The dataset includes 88 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432176-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxxfn3
title: Occurrence Download

description: A dataset containing 1143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138 -15,-35 -15,-35 48,-138 48,-138 -15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia stricta (Haw.) Haw."
 ]
}

 The dataset includes 1143 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418393-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jt2rt
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus spinulosus (DC.) Britton & Rose"
 ]
}

 The dataset includes 225 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432348-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d562tc
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Selenicereus setaceus (Salm-Dyck ex DC.) A.Berger ex Werderm."
 ]
}

 The dataset includes 198 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432159-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdrxbc
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Weberocereus tonduzii (F.A.C.Weber) G.D.Rowley"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0432347-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14927755
title: Strain stress curves and 3D model of Spinodal Structures

description: In the folder of 3D model for Spinodal, there are 2 sub folder with stl files. The folder named training contains 29 spinodal models used for manufacturing and mechanical test for model training. The folder named inverse contains 4 spinodal models from inverse design.

In the folder of strain stress curve, ther are 2 sub folder with excel files. In each excel file, there are 2 columns. The first column is the strain (%) and the second column is the stress (MPa). The folder named training contains the strain-stress curves used for model training. There are 29 subfolders named by the angle, representing mechanical tests on 29 different spinodal models. The folder named inverse cotains the strain-stress curves from the inverse designed structures.