cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15480/882.9080
title: Chemical Interface Damping by Electrochemical Gold Oxidation Experimental Data

description: Experimental data corresponding to the manuscript "Chemical Interface Damping by Electrochemical Gold Oxidation". The dataset contains ellipsometric measurements and fits together with electrochemical potential and current curves that indicate the chemical itnerface damping effect originating from electrochemical oxidation of gold samples.
DOI: 10.5518/36
title: Dataset associated with Rapid Preparation of Highly Reliable PDMS Double Emulsion Microfluidic Devices

description: This dataset is associated with one article which presents a simple and highly reliable method for preparing PDMS microfluidic double emulsion devices that employs a single-step oxidative plasma treatment to both pattern the wettability of microchannels and to bond the chips.  As a key component of our strategy we use epoxy glue to define the required hydrophobic zones and then remove this after plasma treatment, but prior to bonding.  This novel approach achieves surface modification and device sealing in a single process, which reduces chip preparation times to minutes and eliminates the need for unreliable coating processes.  The second key element of our procedure is the maintenance of the patterned surfaces, where we demonstrate that immediate filling of the prepared device with water or the use of solvent-extracted PDMS vastly extends the operational lifetimes of the chips.  This is a very useful technique to prepare microfluidic device with alternative surface wettabilities.
DOI: 10.15468/dl.wxqfvv
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Ruttellerona pseudocessaria Holloway)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019593-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkxr93
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Elodea nuttallii (Planch.) H.St.John",
 "Year 2019-2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019594-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zng5ae
title: Occurrence Download

description: A dataset containing 25165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)"
 ]
}

 The dataset includes 25165 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019595-240906103802322/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.26014432
title: Computer-aided drug discovery strategies for novel therapeutics for prostate cancer leveraging next-generation sequencing data

description: Prostate cancer (PC) is the most common malignancy and accounts for a significant proportion of cancer deaths among men. Although initial therapy success can often be observed in patients diagnosed with localized PC, many patients eventually develop disease recurrence and metastasis. Without effective treatments, patients with aggressive PC display very poor survival. To curb the current high mortality rate, many investigations have been carried out to identify efficacious therapeutics. Compared to de novo drug designs, computational methods have been widely employed to offer actionable drug predictions in a fast and cost-efficient way. Particularly, powered by an increasing availability of next-generation sequencing molecular profiles from PC patients, computer-aided approaches can be tailored to screen for candidate drugs. Herein, the authors review the recent advances in computational methods for drug discovery utilizing molecular profiles from PC patients. Given the uniqueness in PC therapeutic needs, they discuss in detail the drug discovery goals of these studies, highlighting their translational values for clinically impactful drug nomination. Evolving molecular profiling techniques may enable new perspectives for computer-aided approaches to offer drug candidates for different tumor microenvironments. With ongoing efforts to incorporate new compounds into large-scale high-throughput screens, the authors envision continued expansion of drug candidate pools.
DOI: 10.6084/m9.figshare.26014432.v2
title: Computer-aided drug discovery strategies for novel therapeutics for prostate cancer leveraging next-generation sequencing data

description: Prostate cancer (PC) is the most common malignancy and accounts for a significant proportion of cancer deaths among men. Although initial therapy success can often be observed in patients diagnosed with localized PC, many patients eventually develop disease recurrence and metastasis. Without effective treatments, patients with aggressive PC display very poor survival. To curb the current high mortality rate, many investigations have been carried out to identify efficacious therapeutics. Compared to de novo drug designs, computational methods have been widely employed to offer actionable drug predictions in a fast and cost-efficient way. Particularly, powered by an increasing availability of next-generation sequencing molecular profiles from PC patients, computer-aided approaches can be tailored to screen for candidate drugs. Herein, the authors review the recent advances in computational methods for drug discovery utilizing molecular profiles from PC patients. Given the uniqueness in PC therapeutic needs, they discuss in detail the drug discovery goals of these studies, highlighting their translational values for clinically impactful drug nomination. Evolving molecular profiling techniques may enable new perspectives for computer-aided approaches to offer drug candidates for different tumor microenvironments. With ongoing efforts to incorporate new compounds into large-scale high-throughput screens, the authors envision continued expansion of drug candidate pools.
DOI: 10.6084/m9.figshare.26014432.v1
title: Computer-aided drug discovery strategies for novel therapeutics for prostate cancer leveraging next-generating sequencing data

description: Prostate cancer (PC) is the most common malignancy and accounts for a significant proportion of cancer deaths among men. Although initial therapy success can often be observed in patients diagnosed with localized PC, many patients eventually develop disease recurrence and metastasis. Without effective treatments, patients with aggressive PC display very poor survival. To curb the current high mortality rate, many investigations have been carried out to identify efficacious therapeutics. Compared to de novo drug designs, computational methods have been widely employed to offer actionable drug predictions in a fast and cost-efficient way. Particularly, powered by an increasing availability of next-generation sequencing molecular profiles from PC patients, computer-aided approaches can be tailored to screen for candidate drugs. Herein, the authors review the recent advances in computational methods for drug discovery utilizing molecular profiles from PC patients. Given the uniqueness in PC therapeutic needs, they discuss in detail the drug discovery goals of these studies, highlighting their translational values for clinically impactful drug nomination. Evolving molecular profiling techniques may enable new perspectives for computer-aided approaches to offer drug candidates for different tumor microenvironments. With ongoing efforts to incorporate new compounds into large-scale high-throughput screens, the authors envision continued expansion of drug candidate pools.
DOI: 10.15468/dl.zv6s2e
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "HasGeospatialIssue is false",
 "ScientificName is one of (Abies fraseri, Abies fraseri (Pursh) Poir.)"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019596-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uzhzn4
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Heteralex unilinea (Swinhoe, 1902))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 128 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019597-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.465hzz
title: Occurrence Download

description: A dataset containing 1929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum xanthopus (Kirby, 1802)"
 ]
}

 The dataset includes 1929 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019598-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpcv7u
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Antitrygodes divisaria (Walker, 1861))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 327 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019599-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12665947
title: HOCON34k: A Corpus of Hate speech in Online Comments from German Newspapers

description: We have compiled a dataset containing 34,223 comments in German, authored by users from online-platforms associated with public discourse in German newspapers. Each comment was annotated for hate speech and the adequacy of contextual information by a group of 29 volunteers, using a binary annotation approach. The inter-rater reliability for hate speech is 0.4428 across all annotators and increases to 0.6078 when considering an optimized subset of 12 annotators, as measured by Fleiss’ Kappa. Additionally, we present a baseline text classification using BERT, achieving an MCC-score up to 0.32 and an F2-score up to 0.64 in our initial experiment on this new corpus. The data set, named HOCON34k, comprising German hate speech comments from newspapers, is publicly available for research purposes.
DOI: 10.15468/dl.guuxcj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Hypomecis eosaria (Walker, 1862))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019600-240906103802322/datasets/export for details.
DOI: 10.6084/m9.figshare.27044752
title: Forage maize yield and quality data in the NW of Spain (Galicia and Asturias)

description: Maize Cultivar characterization in the NW of Spain in Tabular data form., for 23 years in seven locations and corresponding to three different cultivars named 200,300,400. Production and quality variables: Dry Matter yield (kg MS/ha), Crude Protein yield (kg PB/ha) and Net energy for lactation yield (UFL/ha). Cultivar names first letter is "G" for Galicia locations and "A" for Asturias sites. <b>Variables</b><b>Description</b>Experimental sites (Altitude, m)Asturias: Barcia (25 m), Villaviciosa (10 m), Grado (50 m)Galicia: Ribadeo (43 m), Ordes (300 m), Deza (400 m), Sarria (520 m)Years2000-2022CultivarsAsturias: SE1-200, SE2-300, SE3-400Galicia: XU1-200, XU2-300, XU3-400<b>Weather data</b><br>Tmax (ºC)Average daily maximum air temperature from sowing to harvestTmin (ºC)Average daily minimum air temperature from sowing to harvestPrecipitation (mm)Total precipitation from sowing to harvestSolar radiation (MJ/m<sup>2</sup>)Total solar radiation from sowing to harvest<b>Soil data</b><sup><strong>2</strong></sup><br>pH-log([H<sup>+</sup>])SOC (%)Soil organic carbon (%)PAWC (mm)Plant available water capacity (mm)<b>Important dates</b><br>Sowing dates (Julian days)Asturias: 133=12/05, 136=15/05, 151=30/05Galicia: 136=15/05, 151=30/05, 167=15/06Anthesis dates (Julian days)<br>Harvest dates (Julian days)Asturias: 263=19/09, 267=23/09, 287=13/10Galicia: 250=06/09, 262=18/09, 267=23/09Cycle length (Days)Number of days from sowing to harvest<b>Response variables</b><br>kg DM/haWhole plant dry matter yield at harvestUFL/haWhole plant net energy for lactation yield at harvestkg CP/haWhole plant crude protein yield at harvest<br>
DOI: 10.15468/dl.eyepb8
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Idaea phaeocrossa (Prout, 1931))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019601-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12622289
title: Process Integration Multi-Actor Multi-Criteria Optimization (PI-MAMCO) Framework: Case Study on Palm Oil Based Complex (POBC)

description: The dataset includes the complete workflow for the PI-MAMCO method implementation, demonstrated on a POBC integration case study. The files are structured as follows:





NOTEBOOKS Folder: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.




MODEL Folder: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCO method as outlined in our research.




OUTPUTS Folder: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.


OUTPUTS_GENERATED Folder: The files contained in this folder are the expected results from executing the case study notebook.


Reproducibility: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.

Contained are also outputs from the IRenE procedure, used for the literature review (01_extracted_keywords.xlsx ; 02_sampling_results.csv)
DOI: 10.5281/zenodo.12622290
title: Process Integration Multi-Actor Multi-Criteria Analysis (PI-MAMCA) Method: Case Study on Palm Oil Based Complex (POBC)

description: The dataset includes the complete workflow for the PI-MAMCA method implementation, demonstrated on a POBC integration case study. The files are structured as follows:





NOTEBOOKS Folder: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.




MODEL Folder: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCA method as outlined in our research.




OUTPUTS Folder: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.


OUTPUTS_GENERATED Folder: The files contained in this folder are the expected results from executing the case study notebook.


Reproducibility: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.
DOI: 10.5281/zenodo.13772658
title: Process Integration Multi-Actor Multi-Criteria Optimization (PI-MAMCO) Framework: Case Study on Palm Oil Based Complex (POBC)

description: The dataset includes the complete workflow for the PI-MAMCO method implementation, demonstrated on a POBC integration case study. The files are structured as follows:





NOTEBOOKS Folder: This folder contains the Jupyter notebooks that constitute the entire workflow of our case study. These notebooks import necessary model equations, data, and functions from the "MODEL" folder. Running these notebooks with the correct Python package versions will reproduce the exact results presented in our submitted article.




MODEL Folder: This folder includes all model equations, data, and functions required by the Jupyter notebooks. The scripts in this folder are integral to executing the PI-MAMCO method as outlined in our research.




OUTPUTS Folder: The results generated by running the notebooks are saved in this folder. This includes all outputs reported in our manuscript as well as additional results not included in the paper.


OUTPUTS_GENERATED Folder: The files contained in this folder are the expected results from executing the case study notebook.


Reproducibility: To ensure the reproducibility of our results, please ensure that you are using the correct versions of the required Python packages. Detailed instructions for setting up the Python environment are provided within the notebook and the readme.txt.

Contained are also outputs from the IRenE procedure, used for the literature review (01_extracted_keywords.xlsx ; 02_sampling_results.csv)
DOI: 10.15468/dl.u2r66d
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Scopula propinquaria (Leech, 1897))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 447 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019602-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzgap9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Perixera punctata (Warren, 1897))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019603-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9419633
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.17909/htd7-fg43
title: WASP-80b eclipse - JWST NIRISS/SOSS
DOI: 10.15468/dl.kuswry
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Mnesiloba dentifascia (Hampson, 1891))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019605-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3b5t5
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum Sommier & Levier",
 "Year 2019-2024"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019606-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.