cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3f4b52
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Helarctos malayanus (Raffles, 1822)"
 ]
}

 The dataset includes 97 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022122-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10879949
title: Gravity core XRF data from the Porcupine Abyssal Plain

description: X-ray Fluorescence (XRF) data from three gravity cores obtained during NOC expedition JC231 (2022) for the "Time-series studies at the Porcupine Abyssal Plain Sustained Observatory". These three gravity cores (GC050; GC073; GC076) were collected from different sites at the Porcupine Abyssal Plain (AESA Hill; AESA North Plain; PAP Central respectively). 




Ship/Platform
Cruise Identifier
Sample Identifier
Site
Number of Sections
Section Identifier
Date Sample Collected
Decimal Latitude
Decimal Longitude
Water Depth (m)
Sampling Device
Storage Method
Core Length (cm)
Core Diameter (cm)


RRS James Cook
JC231
GC050
AESA Hill
2
Section 1
09/05/2022
48 59.103
16 33.17
4795
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC050
AESA Hill
2
Section 2
09/05/2022
48 59.103
16 33.17
4795
Gravity core
room temperature, dry (D)
50
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 1
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 2
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 3
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 1
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 2
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 3
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
80
6.5
DOI: 10.5281/zenodo.10879950
title: Gravity core XRF data from the Porcupine Abyssal Plain

description: X-ray Fluorescence (XRF) data from three gravity cores obtained during NOC expedition JC231 (2022) for the "Time-series studies at the Porcupine Abyssal Plain Sustained Observatory". These three gravity cores (GC050; GC073; GC076) were collected from different sites at the Porcupine Abyssal Plain (AESA Hill; AESA North Plain; PAP Central respectively). 




Ship/Platform
Cruise Identifier
Sample Identifier
Site
Number of Sections
Section Identifier
Date Sample Collected
Decimal Latitude
Decimal Longitude
Water Depth (m)
Sampling Device
Storage Method
Core Length (cm)
Core Diameter (cm)


RRS James Cook
JC231
GC050
AESA Hill
2
Section 1
09/05/2022
48 59.103
16 33.17
4795
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC050
AESA Hill
2
Section 2
09/05/2022
48 59.103
16 33.17
4795
Gravity core
room temperature, dry (D)
50
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 1
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 2
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC073
AESA North Plain
3
Section 3
12/05/2022
49 0.657
16 33.221
4846
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 1
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 2
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
100
6.5


RRS James Cook
JC231
GC076
PAP Central 
3
Section 3
12/05/2022
48 50.095
16 31.331
4843
Gravity core
room temperature, dry (D)
80
6.5
DOI: 10.15468/dl.b4erus
title: Occurrence Download

description: A dataset containing 274824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Formica Linnaeus, 1758"
 ]
}

 The dataset includes 274824 records from 991 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022095-250402121839773/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.23532006
title: 00.RawData.zip

description: sequence data
DOI: 10.6084/m9.figshare.23532006.v1
title: 00.RawData.zip

description: sequence data
DOI: 10.5281/zenodo.7845809
title: Webis Wikipedia Innovation History 2023

description: History sections of science and technology articles on Wikipedia extracted from the Wikimedia dump from 1 January 2022. Articles retrieved using Wikipedia's category network. History sections extracted using a combination of section-heading-based heuristics and classifiers trained on articles with designated history sections. If you use this corpus, please cite the following paper: Wolfgang Kircheis, Marion Schmidt, Arno Simons, Benno Stein, and Martin Potthast. Mining the History Sections of Wikipedia Articles on Science and Technology. In 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), June 2023. [code] [corpus-viewer] <pre><code>@InProceedings{kircheis:2023, author = {Wolfgang Kircheis and Marion Schmidt and Arno Simons and Benno Stein and Martin Potthast}, booktitle = {23rd {ACM/IEEE} Joint Conference on Digital Libraries (JCDL 2023)}, codeurl = {https://github.com/webis-de/JCDL-23}, keywords = {nlp, natural language processing}, month = jun, title = {{Mining the History Sections of Wikipedia Articles on Science and Technology}}, year = 2023 }</code></pre>
DOI: 10.5281/zenodo.7845808
title: Webis Wikipedia Innovation History 2023

description: History sections of science and technology articles on Wikipedia extracted from the Wikimedia dump from 1 January 2022. Articles retrieved using Wikipedia's category network. History sections extracted using a combination of section-heading-based heuristics and classifiers trained on articles with designated history sections. If you use this corpus, please cite the following paper: Wolfgang Kircheis, Marion Schmidt, Arno Simons, Benno Stein, and Martin Potthast. Mining the History Sections of Wikipedia Articles on Science and Technology. In 23rd ACM/IEEE Joint Conference on Digital Libraries (JCDL 2023), June 2023. [code] [corpus-viewer] <pre><code>@InProceedings{kircheis:2023, author = {Wolfgang Kircheis and Marion Schmidt and Arno Simons and Benno Stein and Martin Potthast}, booktitle = {23rd {ACM/IEEE} Joint Conference on Digital Libraries (JCDL 2023)}, codeurl = {https://github.com/webis-de/JCDL-23}, keywords = {nlp, natural language processing}, month = jun, title = {{Mining the History Sections of Wikipedia Articles on Science and Technology}}, year = 2023 }</code></pre>
DOI: 10.57745/nxiuvj
title: 01_FIR_166Landraces_32788SNPs.tab

description: Fluorescent Intensity dataset of 166 DNA pools at 32,788 Prefixed PZE SNPs originated from 50K Illumina array (Ganal et al., 2011). This fluorescent intensity dataset were retrieved from .idat file by software genome studio. This fluorescent intensity dataset is used to calculate fluorescent intensity ratio of allele B for each SNP and each landrace: FIR = Y/(X+Y) with X and Y, fluorescent intensity of allele B and A, respectively. FIR were then used to estimate allelic frequencies at each SNP and landrace using two-step model described in (Arca et al., 2020)
DOI: 10.57745/bfeqem
title: 03_Matrice_Freq_B_166Pop_327lin_23412SNPs_NoNA_2020-07-09.txt

description: Allelic frequencies matrix of 327 inbred lines (rows) at 23,412 SNPs (columns) originated from 50K Illumina array (Ganal et al., 2011). These 327 inbred lines represent well American and European genetic diversity (Camus-Kulandaivelu et al., 2006). These 23,412 SNPs have been selected to be suitable for diversity analysis (prefixed PZE SNPs) and to predict accurate allelic frequency using approach described in Arca et al., (2020). Allelic frequencies is obtained by assigning genotype to each inbred line using clustering algorithm implemented in Genome Studio and official cluster file from 50K Illumina array. Few remaining missing data is imputed using average allelic frequencies.
DOI: 10.57745/mthg8v
title: 04_MRD_166Pops_327lin_23412SNPs_NoNA_2020-07-09.txt

description: Modified Roger's distance (MRD) matrix between 166 landrace and 327 inbred lines.
DOI: 10.57745/rae72m
title: 02_Mat_Freq_B_166pops_23412SNPs_NoNA_2020-07-06.txt

description: Allelic frequencies matrix for 166 DNA pools of maize landraces at 23,412 SNPs originated from maize 50K illumina array (Ganal et al., 2011). Each DNA pool is obtained by mixing equal amount of leaves from 15 different plants for each landrace. Allelic frequency of allele B in DNA pools was obtained at each SNPs using fluorescent intensity signal ratio of allele B: FIR= Y /(X+Y) with X and Y fluorescent intensity signal of allele A and B, respectively. Allelic frequency is estimated using a two-step model calibrated on FIR from inbred lines and controlled pools from which allelic frequency were known described in Arca et al., (2020). Missing data has been imputed considering average allelic frequency of the locus for 166 DNA pools.
DOI: 10.57745/eudsap
title: 00_201001_TableLines.tab

description: Description of 442 inbred lines. Column "Genotyping_ID" indicate genotyping code in allelic frequency matrix of inbred lines. These 442 lines are partitionned in three subset (Column "panel": (i) 327 lines representing American en European Diversity ("CK lines"), (ii) 103 new lines derived from landraces ("DH-SSD lines"), 12 parental lines of controlled pools used for predicting allelic frequency ("Controlled pools").
DOI: 10.57745/npbop7
title: 00_201001_Table_Landraces.tab

description: Description of 166 landraces. Genotyping_ID indicates the genotyping identifiant used in allelic frequency matrix.
DOI: 10.5281/zenodo.8019192
title: EAMv1 outputs Macquarie Island- Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

description: EAMv1 outputs for the ACP publication https://acp.copernicus.org/articles/23/5735/2023/acp-23-5735-2023.pdf We have archived the outputs from the EAMv1 control simulations.
DOI: 10.5281/zenodo.8019191
title: EAMv1 outputs Macquarie Island- Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations

description: EAMv1 outputs for the ACP publication https://acp.copernicus.org/articles/23/5735/2023/acp-23-5735-2023.pdf We have archived the outputs from the EAMv1 control simulations.
DOI: 10.48331/scielo.ilaxso/aaipio
title: vanessa_PREreview-SciELO-webinar.pdf

description: :unav
DOI: 10.5281/zenodo.7603705
title: Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.

description: Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.
DOI: 10.5281/zenodo.7603750
title: Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.

description: Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.
DOI: 10.5281/zenodo.8000868
title: Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.

description: Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.
DOI: 10.5281/zenodo.8047510
title: Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.

description: Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.
DOI: 10.5281/zenodo.7603704
title: Inputs, output and animation files related to the article titled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to CMAME.

description: Here you can find input mesh files, parameter files, output files and animations for numerical examples considered in the paper entitled "A computational framework for crack propagation along contact interfaces and surfaces under load" submitted to Computer Methods in Applied Mechanics and Engineering.
DOI: 10.48331/scielo.ilaxso
title: Open Peer Review: National and international state of the art

description: Presentation by Vanessa Fairhurst at the PREreview - SciELO 25 Years Seminar: Open Peer Review: national and international state of the art. Event page: https://25.scielo.org/en/seminars/prereview/
DOI: 10.48331/scielo.gs8lk2/mtarrk
title: jessica_PREreview-SciELO-webinar.pdf

description: :unav
DOI: 10.48331/scielo.gs8lk2
title: Preprint Crowd Review and related ASAPbio initiatives

description: Presentation by Jessica Polka at the PREreview - SciELO 25 Years Seminar: Open Peer Review: national and international state of the art. Event page: https://25.scielo.org/en/seminars/prereview/
DOI: 10.48331/scielo.hwobkq/zt5d3q
title: ivonne_PREreview-SciELO-webinar.pdf

description: :unav
DOI: 10.48331/scielo.hwobkq
title: Open Peer Review: An overview from journals indexed in DOAJ

description: Presentación de Ivonne Lujano Vilchis en el Seminario PREreview – SciELO 25 Años: Revisión por pares abierta: estado del arte nacional y internacional. Página del evento: https://25.scielo.org/es/seminarios/prereview/
DOI: 10.5281/zenodo.8046934
title: PLASMe database

description: This repository contains the database (DB.zip) for PLASMe (https://github.com/HubertTang/PLASMe).
DOI: 10.5281/zenodo.8046933
title: PLASMe database

description: This repository contains the database (DB.zip) for PLASMe (https://github.com/HubertTang/PLASMe).
DOI: 10.48331/scielo.ikvfbd/ui6wfy
title: aurelia_PREreview-SciELO-webinar.pdf

description: :unav
DOI: 10.48331/scielo.ikvfbd
title: Training and Mentorship on Open Peer Review

description: Presentation by Aurelia Munene at the PREreview - SciELO 25 Years Seminar: Open Peer Review: national and international state of the art. Event page: https://25.scielo.org/en/seminars/prereview/
DOI: 10.5281/zenodo.8046973
title: A subset of the Scientific Literature Comparison Tables Dataset

description: The Scientific Literature Comparison Table (SLCT) dataset was collected using the arXiv and Semantic Scholar APIs. It underwent a series of processing steps, including manual inspection and editing. The processing steps are summarized as follows: 1) Downloading Survey Papers’ LaTeX files using the Arxiv API. 2) Preprocessing LaTeX files to HTML format. 3) Extracting tables from the HTML files. 4) Creating a Golden Table as a reference. 5) Generating descriptions for column headers. 6) Acquiring citation data. 7) Finalizing the dataset.
description: fraction of the dataset is presented here.
DOI: 10.5281/zenodo.8046972
title: A subset of the Scientific Literature Comparison Tables Dataset

description: The Scientific Literature Comparison Table (SLCT) dataset was collected using the arXiv and Semantic Scholar APIs. It underwent a series of processing steps, including manual inspection and editing. The processing steps are summarized as follows: 1) Downloading Survey Papers’ LaTeX files using the Arxiv API. 2) Preprocessing LaTeX files to HTML format. 3) Extracting tables from the HTML files. 4) Creating a Golden Table as a reference. 5) Generating descriptions for column headers. 6) Acquiring citation data. 7) Finalizing the dataset.
description: fraction of the dataset is presented here.
DOI: 10.5281/zenodo.8024129
title: Observational data, run scripts, and EAMv1 code for MICRE and ENA publications

description: Run scripts and EAMv1 code for MICRE and ENA publications
DOI: 10.5281/zenodo.8021678
title: Observational data, run scripts, and EAMv1 code for MICRE and ENA publications

description: Run scripts and EAMv1 code for MICRE and ENA publications
DOI: 10.6084/m9.figshare.23531412
title: Overview of metabolomics data from the EcoToxChip 2016 Large Scale Applied Research Project (LSARP). Document version 1.0

description: As part of the EcoToxChip project (2016-2023; www.ecotoxchip.ca), studies were conducted with three standard lab species used worldwide in testing (fathead minnow, <em>Xenopus laevis</em>, Japanese quail) and three native species of Commercial, Recreational and Aboriginal concern in Canada (rainbow trout, double-crested cormorant, northern leopard frog) in which early life stage (ELS) and/or adults of each species were exposed to eight chemicals of environmental concern (ethinylestradiol, benzo[<em>a</em>]pyrene, chlorpyrifos, fluoxetine, lead(II)nitrate, trenbolone, seleno-L-methionine, hexabromocyclododecane). From these exposures, targeted metabolomics analyses were performed to help increase understanding of biological responses and mechanisms of action. Such data were used to help guide the selection of the most relevant genes to be included on the EcoToxChips. All metabolomics analyses were carried out at SGS-AXYS’s dedicated metabolomics facilities utilizing multiple LC-MS/MS systems. All data were analyzed using MetaboAnalyst. Alongside this introductory report, all raw data files are included.
DOI: 10.6084/m9.figshare.23531412.v1
title: Overview of metabolomics data from the EcoToxChip 2016 Large Scale Applied Research Project (LSARP). Document version 1.0

description: As part of the EcoToxChip project (2016-2023; www.ecotoxchip.ca), studies were conducted with three standard lab species used worldwide in testing (fathead minnow, <em>Xenopus laevis</em>, Japanese quail) and three native species of Commercial, Recreational and Aboriginal concern in Canada (rainbow trout, double-crested cormorant, northern leopard frog) in which early life stage (ELS) and/or adults of each species were exposed to eight chemicals of environmental concern (ethinylestradiol, benzo[<em>a</em>]pyrene, chlorpyrifos, fluoxetine, lead(II)nitrate, trenbolone, seleno-L-methionine, hexabromocyclododecane). From these exposures, targeted metabolomics analyses were performed to help increase understanding of biological responses and mechanisms of action. Such data were used to help guide the selection of the most relevant genes to be included on the EcoToxChips. All metabolomics analyses were carried out at SGS-AXYS’s dedicated metabolomics facilities utilizing multiple LC-MS/MS systems. All data were analyzed using MetaboAnalyst. Alongside this introductory report, all raw data files are included.
DOI: 10.6084/m9.figshare.23531412.v2
title: Overview of metabolomics data from the EcoToxChip 2016 Large Scale Applied Research Project (LSARP). Document version 1.0

description: As part of the EcoToxChip project (2016-2023; www.ecotoxchip.ca), studies were conducted with three standard lab species used worldwide in testing (fathead minnow, <em>Xenopus laevis</em>, Japanese quail) and three native species of Commercial, Recreational and Aboriginal concern in Canada (rainbow trout, double-crested cormorant, northern leopard frog) in which early life stage (ELS) and/or adults of each species were exposed to eight chemicals of environmental concern (ethinylestradiol, benzo[<em>a</em>]pyrene, chlorpyrifos, fluoxetine, lead(II)nitrate, trenbolone, seleno-L-methionine, hexabromocyclododecane). From these exposures, targeted metabolomics analyses were performed to help increase understanding of biological responses and mechanisms of action. Such data were used to help guide the selection of the most relevant genes to be included on the EcoToxChips. All metabolomics analyses were carried out at SGS-AXYS’s dedicated metabolomics facilities utilizing multiple LC-MS/MS systems. All data were analyzed using MetaboAnalyst. Alongside this introductory report, all raw data files are included.
DOI: 10.5281/zenodo.7790011
title: MICRE - ACP publication - co-located EAMv1 and observation data at Macquarie Island and python scripts for analysis

description: We simulate immersion-mode INP concentrations using the Energy Exascale Earth System Model version 1 (E3SMv1) by combining simulated aerosols with recently developed deterministic INP parameterizations and the native classical nucleation theory (CNT) for mineral dust in E3SMv1. Here, we provide Python scripts, co-located model data, and MICRE INP observations.
DOI: 10.5281/zenodo.7790010
title: MICRE - ACP publication - co-located EAMv1 and observation data at Macquarie Island and python scripts for analysis

description: We simulate immersion-mode INP concentrations using the Energy Exascale Earth System Model version 1 (E3SMv1) by combining simulated aerosols with recently developed deterministic INP parameterizations and the native classical nucleation theory (CNT) for mineral dust in E3SMv1. Here, we provide Python scripts, co-located model data, and MICRE INP observations.
DOI: 10.48331/scielo.00ubzc/exmacf
title: guillermo_PREreview-SciELO-webinar.pdf

description: :unav
DOI: 10.48331/scielo.00ubzc
title: Revisión por pares abierta en revistas de investigación. Una perspectiva de si aplicación desde la UNAM

description: Presentación de Guillermo Chávez en el Seminario PREreview – SciELO 25 Años: Revisión por pares abierta: estado del arte nacional y internacional. Página del evento: https://25.scielo.org/es/seminarios/prereview/
DOI: 10.34740/kaggle/dsv/12926820
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.t5j8px
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dyckia edwardii P.J.Braun, Esteves & Scharf"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185396-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ci7ve1
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psectrogaster rutiloides (Kner, 1858)"
 ]
}

 The dataset includes 291 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000196-160525093732495/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.