cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6m3njf
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystichum scariosum (Roxb.) C.V.Morton"
 ]
}

 The dataset includes 275 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082174-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10907310
title: Dades Històriques del Mercat de Criptomonedes: Anàlisi de les 10 Principals Criptomonedes durant els darrers 2 Anys.

description: Títol del Dataset: Dades Històriques de Criptomonedes

Descripció: Aquest dataset conté dades històriques de criptomonedes recopilades durant les últimes 104 setmanes, corresponents a un període de dos anys. Les dades inclouen informació detallada sobre les 10 principals criptomonedes, com ara el nom, el símbol, la capitalització de mercat, el preu, el volum de circulació, i els canvis en els preus durant les últimes 24 hores i 7 dies. Les dades s'han recopilat mitjançant web scraping del lloc web de CoinMarketCap amb finalitats educatives.

Propòsit del Dataset: Aquest dataset s'ha creat amb l'objectiu de proporcionar una font d'informació completa i actualitzada sobre les principals criptomonedes per a fins d'anàlisi i investigació en el camp de les criptomonedes i la blockchain. Les dades poden ser utilitzades per a realitzar estudis de mercat, anàlisi de tendències, i altres investigacions relacionades amb les criptomonedes i els mercats financers.

Cobertura Temporal: Les dades cobreixen les darreres 104 setmanes, des de la data de recopilació fins a dos anys enrere.

Format del Dataset: CSV

Licència: CC BY-NC-SA 4.0
DOI: 10.5281/zenodo.10907311
title: Dades Històriques del Mercat de Criptomonedes: Anàlisi de les 10 Principals Criptomonedes durant els darrers 2 Anys.

description: Títol del Dataset: Dades Històriques de Criptomonedes

Descripció: Aquest dataset conté dades històriques de criptomonedes recopilades durant les últimes 104 setmanes, corresponents a un període de dos anys. Les dades inclouen informació detallada sobre les 10 principals criptomonedes, com ara el nom, el símbol, la capitalització de mercat, el preu, el volum de circulació, i els canvis en els preus durant les últimes 24 hores i 7 dies. Les dades s'han recopilat mitjançant web scraping del lloc web de CoinMarketCap amb finalitats educatives.

Propòsit del Dataset: Aquest dataset s'ha creat amb l'objectiu de proporcionar una font d'informació completa i actualitzada sobre les principals criptomonedes per a fins d'anàlisi i investigació en el camp de les criptomonedes i la blockchain. Les dades poden ser utilitzades per a realitzar estudis de mercat, anàlisi de tendències, i altres investigacions relacionades amb les criptomonedes i els mercats financers.

Cobertura Temporal: Les dades cobreixen les darreres 104 setmanes, des de la data de recopilació fins a dos anys enrere.

Format del Dataset: CSV

Licència: CC BY-NC-SA 4.0
DOI: 10.5281/zenodo.10907386
title: Data for Thermo-Mechanical Analysis of Friction Stir Welding

description: This study explores the development and application of machine learning (ML) metamodels for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to address the challenge of accurately predicting the thermo-mechanical behaviour of materials in FSW processes. Using finite element models, a high-fidelity dataset consisting of 20 Hammersley design datapoints is generated which is then used to develop a low-fidelity dataset of 420 datapoints using KNN imputation.
DOI: 10.5281/zenodo.10907387
title: Data for Thermo-Mechanical Analysis of Friction Stir Welding

description: This study explores the development and application of machine learning (ML) metamodels for the thermo-mechanical analysis of Friction Stir Welding (FSW). The main objective is to address the challenge of accurately predicting the thermo-mechanical behaviour of materials in FSW processes. Using finite element models, a high-fidelity dataset consisting of 20 Hammersley design datapoints is generated which is then used to develop a low-fidelity dataset of 420 datapoints using KNN imputation.
DOI: 10.15468/dl.7dwnxe
title: Occurrence Download

description: A dataset containing 1410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus campanulata Maxim."
 ]
}

 The dataset includes 1410 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082175-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00004774.0
title: Available datapackage for study 'Single-Dose, Open-Label Pilot Study to Explore the Pharmacokinetics, Safety and Tolerability of a Gluteal Intramuscular Injection of a 4-Week Long-Acting Injectable Formulation of Risperidone in Patients With Chronic Stable Schizophrenia'

description: The purpose of this study is to explore the pharmacokinetics, safety and tolerability of a 4-week long-acting injectable (LAI) formulation of risperidone after single intramuscular (i.m.) injection of 75 mg risperidone LAI in the gluteal muscle.
DOI: 10.15468/dl.34u8hk
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna ligustroides Hemsl."
 ]
}

 The dataset includes 208 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082177-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s46je
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarya macroptera Batalin"
 ]
}

 The dataset includes 710 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082176-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10066583
title: Supplementary data for the article: Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges

description: This repository provides the supplementary data to the paper titled "Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges", published 2024 in Resources, Conservation and Recycling.

Contents

The repository is split in 3 parts and comprises the following files (more details are provided in the README.md):

A_Database of reviewed studies:



contains the detailed review data, meant for readers to use as an overview file to gather studies relevant to them. It also includes an overview of all data sources that the reviewed studies used.


B_Scientific supplement to paper:



Contains all data relevant to the related publication Harpprecht et al. (2024), such as studies screened , FAIR data analysis, or analyzed impact trends.


C_Data for figures in paper:



This file contains all the data for Figures 3, 4 and 5 in tabular form, representing impact trends, scenario variables, scenario modelling approaches and data sources used.


Summary

These files allow to reproduce the results of our study. In this work, we systematically reviewed studies which assessed future environmental impacts of metal supply chains. Our review yielded 40 publications covering 15 metals: copper, iron, aluminium, nickel, zinc, lead, cobalt, lithium, gold, manganese, neodymium, dysprosium, praseodymium, terbium, and titanium. We evaluated their results regarding future impact trends, and their methods, i.e., modelling approaches, scenario variables, and data sources of scenario variables. We identified 15 scenario variables. The most common variables are background electricity mix, ore grade, recycling shares, demand, and energy efficiency. We identified 229 unique data sources for the reviewed scenario variables.

Related publication

More details on the data and its interpretation as well as the scientific context are provided in the publication itself:

Harpprecht, C., Miranda Xicotencatl, B., van Nielen, S., van der Meide, M., Li, C. , Li, Z., Tukker, A., Steubing, B. (2024). Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges. Resources, Conservation and Recycling.

Funding 

Carina Harpprecht received funding from the Energy Program of the German Aerospace Center in 2022. Zhijie Li received funding from the European Institute of Innovation and Technology (EIT) under the project Valomag (Project No. 14049).

License

CC-BY 4.0 license for DLR (German Aerospace Center)
DOI: 10.5281/zenodo.10066584
title: Supplementary data for the article: Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges

description: This repository provides the supplementary data to the paper titled "Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges", published 2024 in Resources, Conservation and Recycling.

Contents

The repository is split in 3 parts and comprises the following files (more details are provided in the README.md):

A_Database of reviewed studies:



contains the detailed review data, meant for readers to use as an overview file to gather studies relevant to them. It also includes an overview of all data sources that the reviewed studies used.


B_Scientific supplement to paper:



Contains all data relevant to the related publication Harpprecht et al. (2024), such as studies screened , FAIR data analysis, or analyzed impact trends.


C_Data for figures in paper:



This file contains all the data for Figures 3, 4 and 5 in tabular form, representing impact trends, scenario variables, scenario modelling approaches and data sources used.


Summary

These files allow to reproduce the results of our study. In this work, we systematically reviewed studies which assessed future environmental impacts of metal supply chains. Our review yielded 40 publications covering 15 metals: copper, iron, aluminium, nickel, zinc, lead, cobalt, lithium, gold, manganese, neodymium, dysprosium, praseodymium, terbium, and titanium. We evaluated their results regarding future impact trends, and their methods, i.e., modelling approaches, scenario variables, and data sources of scenario variables. We identified 15 scenario variables. The most common variables are background electricity mix, ore grade, recycling shares, demand, and energy efficiency. We identified 229 unique data sources for the reviewed scenario variables.

Related publication

More details on the data and its interpretation as well as the scientific context are provided in the publication itself:

Harpprecht, C., Miranda Xicotencatl, B., van Nielen, S., van der Meide, M., Li, C. , Li, Z., Tukker, A., Steubing, B. (2024). Future environmental impacts of metals: a systematic review of impact trends, modelling approaches, and challenges. Resources, Conservation and Recycling.

Funding 

Carina Harpprecht received funding from the Energy Program of the German Aerospace Center in 2022. Zhijie Li received funding from the European Institute of Innovation and Technology (EIT) under the project Valomag (Project No. 14049).

License

CC-BY 4.0 license for DLR (German Aerospace Center)
DOI: 10.5281/zenodo.10709125
title: Statistical analysis of data determining minimal selective concentration of Amoxicillin, doxycycline and enrofloxacin

description: This repository is containing the datasets with statistical analysis of the paper: "Selection for amoxicillin, doxycycline and enrofloxacin resistant Escherichia coli at  concentrations lower tha nthe ECOFF in rich media and in broiler-derived fecal fermenations."

The phenotypic analysis



Phenotypic amoxicillin



R-file: Phenotypic Amox mixed models, CSV-file: Phenotypic data Amox



Phenotypic doxycycline



R-file: Phenotypic Dox mixed models, CSV-file: Phenotypic data Dox



Phenotypic enrofloxacin



R-file: Phenotypic Enro mixed models, CSV-file: Phenotypic data Enro




The resistome analysis 



two CSV-files: Resistoom workfile and resistome_reference_file

one R-file: Resistome_analysis_antimicrobial_classes


Microbiome analysis



Alpha- and beta-diversity analysis



R-file Biom analysis, CSV-file: metadata2, biom-file: reads_fermentation



Microbial abundance analysis



R-file: Abundance plot, CSV-file: metadata2. biom-file: reads_fermentation2.biom
DOI: 10.5281/zenodo.10709126
title: Statistical analysis of data determining minimal selective concentration of Amoxicillin, doxycycline and enrofloxacin

description: This repository is containing the datasets with statistical analysis of the paper: "Selection for amoxicillin, doxycycline and enrofloxacin resistant Escherichia coli at  concentrations lower tha nthe ECOFF in rich media and in broiler-derived fecal fermenations."

The phenotypic analysis



Phenotypic amoxicillin



R-file: Phenotypic Amox mixed models, CSV-file: Phenotypic data Amox



Phenotypic doxycycline



R-file: Phenotypic Dox mixed models, CSV-file: Phenotypic data Dox



Phenotypic enrofloxacin



R-file: Phenotypic Enro mixed models, CSV-file: Phenotypic data Enro




The resistome analysis 



two CSV-files: Resistoom workfile and resistome_reference_file

one R-file: Resistome_analysis_antimicrobial_classes


Microbiome analysis



Alpha- and beta-diversity analysis



R-file Biom analysis, CSV-file: metadata2, biom-file: reads_fermentation



Microbial abundance analysis



R-file: Abundance plot, CSV-file: metadata2. biom-file: reads_fermentation2.biom
DOI: 10.5281/zenodo.10402850
title: Design and high-throughput implementation of MALDI-TOF/MS-based assays for Parkin E3 ligase activity

description: Summary

Parkinson’s disease (PD) is a progressive neurological disorder that manifests clinically as alterations in movement as well as multiple non-motor symptoms including but not limited to cognitive and autonomic abnormalities. Loss-of-function mutations in the gene encoding the ubiquitin E3 ligase Parkin are causal for familial and juvenile PD. Among several therapeutic approaches being explored to treat or improve PD patient’s prognosis, the use of small molecules able to reinstate or boost Parkin activity represents a potential pharmacological treatment strategy. A major barrier is the lack of high throughput platforms for the robust and accurate quantification of Parkin activity in vitro. Here we present two different and complementary Matrix Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI-TOF/MS) based approaches for the quantification of Parkin E3 ligase activity in vitro. Both approaches are scalable for high-throughput primary screening to facilitate the identification of Parkin modulators.
DOI: 10.5281/zenodo.10402851
title: Design and high-throughput implementation of MALDI-TOF/MS-based assays for Parkin E3 ligase activity

description: Summary

Parkinson’s disease (PD) is a progressive neurological disorder that manifests clinically as alterations in movement as well as multiple non-motor symptoms including but not limited to cognitive and autonomic abnormalities. Loss-of-function mutations in the gene encoding the ubiquitin E3 ligase Parkin are causal for familial and juvenile PD. Among several therapeutic approaches being explored to treat or improve PD patient’s prognosis, the use of small molecules able to reinstate or boost Parkin activity represents a potential pharmacological treatment strategy. A major barrier is the lack of high throughput platforms for the robust and accurate quantification of Parkin activity in vitro. Here we present two different and complementary Matrix Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI-TOF/MS) based approaches for the quantification of Parkin E3 ligase activity in vitro. Both approaches are scalable for high-throughput primary screening to facilitate the identification of Parkin modulators.
DOI: 10.15468/dl.gr49uw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria leucocentron K.Schum."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082178-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmm3gy
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopodospermum turcomanicum (Krasch. & Lipsch.) Zaika, Sukhor & N.Kilian"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082180-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zggw8x
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polystichum semifertile (C.B.Clarke) Ching"
 ]
}

 The dataset includes 271 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082181-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4ebuk
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Premna longiacuminata Moldenke"
 ]
}

 The dataset includes 33 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082182-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa7k3t
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus canescens Bois"
 ]
}

 The dataset includes 65 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082184-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyxftw
title: Occurrence Download

description: A dataset containing 4769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarya rhoifolia Siebold & Zucc."
 ]
}

 The dataset includes 4769 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082183-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10665618
title: treeArches: reference models & latent space

description: treeArches is a framework around scArches and scHPL to create and extend a reference atlas and the corresponding classification tree. This repository contains the models used for data integration, the latent spaces created, and the trained classification for the HLCA. 


The treeArches reproducibility GitHub can be used to reproduce all results.
DOI: 10.5281/zenodo.6786356
title: treeArches: reference models & latent space

description: treeArches is a framework around scArches and scHPL to create and extend a reference atlas and the corresponding classification tree. This repository contains the models used for data integration, the latent spaces created, and the trained classification for the HLCA. 


The treeArches reproducibility GitHub can be used to reproduce all results.
DOI: 10.5281/zenodo.6786357
title: treeArches: reference models & latent space

description: treeArches is a framework around scArches and scHPL to create and extend a reference atlas and the corresponding classification tree. This repository contains the models used for data integration, the latent spaces created, and the trained classification for the HLCA. The treeArches reproducibility GitHub can be used to reproduce all results.
DOI: 10.5281/zenodo.8086471
title: treeArches: reference models & latent space

description: treeArches is a framework around scArches and scHPL to create and extend a reference atlas and the corresponding classification tree. This repository contains the models used for data integration, the latent spaces created, and the trained classification for the HLCA. The treeArches reproducibility GitHub can be used to reproduce all results.
DOI: 10.15468/dl.fexmbe
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psychotria leucococca K.Schum. & Lauterb."
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082185-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hh25yg
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.47603 36.65959,-4.43984 36.65959,-4.43984 36.68426,-4.47603 36.68426,-4.47603 36.65959))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 428 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082187-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqe7jb
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Thailand, China, Viet Nam, Lao People’s Democratic Republic, Philippines, India)",
 "TaxonKey is Renanthera coccinea Lour."
 ]
}

 The dataset includes 130 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082186-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwvfcj
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-4.49063 36.6549,-4.43367 36.65423,-4.43489 36.69744,-4.49068 36.6966,-4.49063 36.6549))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 528 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082188-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us8a7j
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudopodospermum turkeviczii (Krasch. & Lipsch.) Kuth."
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082189-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.