cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18413897
title: Table 1 in A new species of Leporinus Agassiz, 1829 (Characiformes: Anostomidae) from the rio Tocantins, Brazil

description: Table 1. Morphometric data for Leporinus santosi. SD = Standard Deviation.
HolotypenMeanRangeSDStandard length (mm)117.52596.561.6 - 155.0-Percents of standard lengthPredorsal distance50.382450.7647.37 - 52.941.16Dorsal-fin to adipose-fin37.912437.4734.15 - 39.771.42Prepelvic distance52.432452.2347.28 - 54.331.49Body depth33.872433.1630.33 - 35.461.17Caudal peduncle depth12.852412.6711.51 - 13.280.40Caudal peduncle length11.632411.439.59 - 13.020.75Anal-fin lobe length16.172416.9614.52 - 18.830.90Head length26.812426.5923.91 - 27.990.83Percents of head lengthPreopercle length76.892475.5571.89 - 79.101.74Snout length41.272439.5735.64 - 42.911.99Head depth90.572487.2382.53 - 91.282.73Eye diameter23.172425.4021.91 - 30.362.73Bony interorbital43.492442.8240.53 - 45.221.34
description: Published as part of Britski, Heraldo A. & Birindelli, José L. O., 2013, A new species of Leporinus Agassiz, 1829 (Characiformes: Anostomidae) from the rio Tocantins, Brazil, pp. 27 in Neotropical Ichthyology 11 (1) on page 27, DOI: 10.1590/S1679-62252013000100003, http://zenodo.org/record/12652906
DOI: 10.5281/zenodo.18413896
title: Table 1 in A new species of Leporinus Agassiz, 1829 (Characiformes: Anostomidae) from the rio Tocantins, Brazil

description: Table 1. Morphometric data for Leporinus santosi. SD = Standard Deviation.
HolotypenMeanRangeSDStandard length (mm)117.52596.561.6 - 155.0-Percents of standard lengthPredorsal distance50.382450.7647.37 - 52.941.16Dorsal-fin to adipose-fin37.912437.4734.15 - 39.771.42Prepelvic distance52.432452.2347.28 - 54.331.49Body depth33.872433.1630.33 - 35.461.17Caudal peduncle depth12.852412.6711.51 - 13.280.40Caudal peduncle length11.632411.439.59 - 13.020.75Anal-fin lobe length16.172416.9614.52 - 18.830.90Head length26.812426.5923.91 - 27.990.83Percents of head lengthPreopercle length76.892475.5571.89 - 79.101.74Snout length41.272439.5735.64 - 42.911.99Head depth90.572487.2382.53 - 91.282.73Eye diameter23.172425.4021.91 - 30.362.73Bony interorbital43.492442.8240.53 - 45.221.34
description: Published as part of Britski, Heraldo A. & Birindelli, José L. O., 2013, A new species of Leporinus Agassiz, 1829 (Characiformes: Anostomidae) from the rio Tocantins, Brazil, pp. 27 in Neotropical Ichthyology 11 (1) on page 27, DOI: 10.1590/S1679-62252013000100003, http://zenodo.org/record/12652906
DOI: 10.5281/zenodo.18414139
title: Gravity = Magnetism + Heat

description: Absolutely everything in our universe is dual. Gravity is not an exception. There are only two different types of energy: magnetism, which is the energy inside matter (i.e., inside atoms or molecules), and heat, the energy outside matter. Gravity is, therefore, the equilibrium between magnetic and heat energies. Spherical tridimensional magnetism rules the cosmological systems—it's 100% attractive—any repulsion is converted into attraction by torque. Modern Physics claims to know it, however, where is the mathematical formalization of it? Einstein's Special and General Relativity theories are built upon Maxwell's Equations on magnetism, that are theoretical, because it only works at frozen time in constrained objects. Planets, stars and galaxies are, obviously, not suited for Einstein's Relativity. Furthermore, neither Newton nor Einstein ever took into consideration thermal attraction. This paper rescues Modern Physics, initiating the post-Einsteinian era.
DOI: 10.5281/zenodo.18411378
title: KMKG Collection Database Description

description: KMKG Collection database description: 

Provides a list of the objects used for the implementation of pilot cases 1 and 2.

The data will be available to interested parties following a bilateral agreement between KMKG and the interested party.

Contact Information: Chris Vastenhoud, c.vastenhoud@kmkg-mrah.be, Nick Mols, n.mols@kmkg-mrah.be
DOI: 10.5281/zenodo.18411379
title: KMKG Collection Database Description

description: KMKG Collection database description: 

Provides a list of the objects used for the implementation of pilot cases 1 and 2.

The data will be available to interested parties following a bilateral agreement between KMKG and the interested party.

Contact Information: Chris Vastenhoud, c.vastenhoud@kmkg-mrah.be, Nick Mols, n.mols@kmkg-mrah.be
DOI: 10.15468/dl.y8n3ua
title: Occurrence Download

description: A dataset containing 4224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus persica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4224 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005826-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18412787
title: Purified RNAPII As-biotin pull-down analysis by bottom-up mass spectrometry

description: All related descriptions are or will be (upon manuscript publication) provided in text of the related journal publication.
DOI: 10.5281/zenodo.18412788
title: Purified RNAPII As-biotin pull-down analysis by bottom-up mass spectrometry

description: All related descriptions are or will be (upon manuscript publication) provided in text of the related journal publication.
DOI: 10.5281/zenodo.18401503
title: ESS11_4countries_values

description: This dataset includes samples from four countries (Portugal, Spain, France, and the United Kingdom) collected within the framework of the European Social Survey (ESS), Round 11. The variables provided represent a subset of the original ESS dataset and were processed for a study examining the impact of education on individual values, operationalized through the four value dimensions proposed by Schwartz.

The dataset includes only respondents aged 15 years and older.

Data are available in .SAV (SPSS) and .CSV formats. In addition, the syntax used to construct the value dimension variables according to Schwartz’s theoretical model is provided, enabling transparency and reproducibility of the data processing procedures.
DOI: 10.5281/zenodo.18401502
title: ESS11_4countries_values

description: This dataset includes samples from four countries (Portugal, Spain, France, and the United Kingdom) collected within the framework of the European Social Survey (ESS), Round 11. The variables provided represent a subset of the original ESS dataset and were processed for a study examining the impact of education on individual values, operationalized through the four value dimensions proposed by Schwartz.

The dataset includes only respondents aged 15 years and older.

Data are available in .SAV (SPSS) and .CSV formats. In addition, the syntax used to construct the value dimension variables according to Schwartz’s theoretical model is provided, enabling transparency and reproducibility of the data processing procedures.
DOI: 10.15468/dl.z7p7es
title: Occurrence Download

description: A dataset containing 1787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocalamus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1787 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005827-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/873n-9572
title: Water temperature, salinity - surface water, microbial abundance, and others taken by CTD and water samples from the research vessel, BIO, Hesperides in the North Pacific Ocean in US EEZ from 2011-05-07 to 2011-05-15 (NCEI Accession 0229979)

description: This dataset contains water temperature, salinity - surface water, microbial abundance, and others taken by CTD and water samples. As a part of the Malaspina circumnavigation cruise, the BIO Hesperides crossed US waters around Hawaii. CTD casts were used to obtain water for measurements of microbial abundance and nutrients and chlorophyll data. Data for three stations around Hawaii (one unclear whether is at the border of the territorial waters). This dataset is U.S. State Department MSR U2011-009 as part of the World Data Service for Oceanography. Data are in XLS and TEXT formats. Cruise report is in MsWord DOCX format.
DOI: 10.5281/zenodo.18410547
title: Naver Platform Troll Dataset

description: Naver Platform Troll Dataset

 




column name
description


user_id_no
User id in Naver


full_text
Concatenation of username, user region, article title, and comment


reg_time
Comment registration time


troll_category
Troll cartegory(Known Troll, Detected Troll, Non-Troll)
DOI: 10.15468/dl.4fcmrp
title: Occurrence Download

description: A dataset containing 4232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 66.56,180 66.56,180 90,-180 90,-180 66.56))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus"
 ]
}

 The dataset includes 4232 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005829-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18413756
title: Data set for: Emergent reactance induced by the deformation of a current-driven skyrmion lattice

description: This repository contains the raw data and files used for data analysis and reproduction of figures in the paper titled: "Emergent reactance induced by the deformation of a current-driven skyrmion lattice" by Matthew T. Littlehales, Max T. Birch, Akiko Kikkawa, Yasujiro Taguchi, Diego Alba Venero, Peter D. Hatton, Naoto Nagaosa, Yoshinori Tokura, and Tomoyuki Yokouchi. 

 

All data analysis was performed using python, and each script can be run independently to produce the figure coexisting in the same subfolder.

 

The subfolder structure and further details can be found in the DataRespository.txt file.
DOI: 10.5281/zenodo.18413757
title: Data set for: Emergent reactance induced by the deformation of a current-driven skyrmion lattice

description: This repository contains the raw data and files used for data analysis and reproduction of figures in the paper titled: "Emergent reactance induced by the deformation of a current-driven skyrmion lattice" by Matthew T. Littlehales, Max T. Birch, Akiko Kikkawa, Yasujiro Taguchi, Diego Alba Venero, Peter D. Hatton, Naoto Nagaosa, Yoshinori Tokura, and Tomoyuki Yokouchi. 

 

All data analysis was performed using python, and each script can be run independently to produce the figure coexisting in the same subfolder.

 

The subfolder structure and further details can be found in the DataRespository.txt file.
DOI: 10.15468/dl.xh47wd
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gigantochloa",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 499 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005830-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.354cgh
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus prostrata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 374 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005831-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18140023
title: Drug-target affinity predictions data for evaluation of interaction concordance index
title: Data for repeating the experiments in "Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods"

description: This record contains data for repeating the results presented in "Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods". It contains ground-truth drug–target affinity values, the corresponding drug/target index pairs, the cross‑validation fold assignments used in the experiments, and prediction outputs produced by one or more learning methods.

File naming conventions- ground_truth_DATA.csv  - Real-valued affinity measurements for dataset DATA.  - One value per line; no header.- drug_target_index_DATA.csv  - Index pairs identifying the drug and target for each affinity observation in dataset DATA.  - Two nonnegative integers per line separated by comma: drug_index,target_index; no header.  - Indices are 0-based (start at 0) and refer to the DATA-specific drug and target sets.- folds_DATA.csv  - Cross-validation partition used in the experiments for dataset DATA.  - One integer in range [0,8] per line indicating the fold assignment; no header.- predictions_METHOD_CONDITION_DATA.csv  - Predicted affinity values for dataset DATA generated by learning method METHOD trained under CONDITION.  - One real-valued prediction per line; no header.

Alignment and integrity- For a given DATA, all files associated to it have exactly the same number of lines and the same ordering as ground_truth_DATA.csv, so that line i refers to the same observation across these files: the ground truth affinity value at line i corresponds to the predicted affinity value at line i, the drug/target indices at line i and is assigned to the fold at line i.- No missing lines or header rows are present in any file.

Formats and conventions- CSV with comma delimiter, UTF-8 encoding, Unix line endings.- Decimal separator: dot (e.g., 0.1234).- Whitespace is not significant; trailing/leading spaces should be ignored.- Valid value types:  - Affinity (ground truth, predictions): floating-point numbers (e.g., 1.0, 0.567, NaN not allowed).  - Indices: integers >= 0 (0-based).  - Folds: integers >= 0 (0-based).

Placeholders- DATA: identifier of a dataset (davis, metz, merget, kiba, IC, E, GPCR).- METHOD: identifier of the learning algorithm (KRLSKRG, KRLSLRG, KRLSKRL, KRLSLRL, kNN, ltr, RF, XGBoost, DDTA, FF, GT).- CONDITION: learning problem (IDIT, IDOT, ODIT, ODOT).
DOI: 10.5281/zenodo.18140022
title: Drug-target affinity predictions data for evaluation of interaction concordance index
title: Data for repeating the experiments in "Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods"

description: This record contains data for repeating the results presented in "Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods". It contains ground-truth drug–target affinity values, the corresponding drug/target index pairs, the cross‑validation fold assignments used in the experiments, and prediction outputs produced by one or more learning methods.

File naming conventions- ground_truth_DATA.csv  - Real-valued affinity measurements for dataset DATA.  - One value per line; no header.- drug_target_index_DATA.csv  - Index pairs identifying the drug and target for each affinity observation in dataset DATA.  - Two nonnegative integers per line separated by comma: drug_index,target_index; no header.  - Indices are 0-based (start at 0) and refer to the DATA-specific drug and target sets.- folds_DATA.csv  - Cross-validation partition used in the experiments for dataset DATA.  - One integer in range [0,8] per line indicating the fold assignment; no header.- predictions_METHOD_CONDITION_DATA.csv  - Predicted affinity values for dataset DATA generated by learning method METHOD trained under CONDITION.  - One real-valued prediction per line; no header.

Alignment and integrity- For a given DATA, all files associated to it have exactly the same number of lines and the same ordering as ground_truth_DATA.csv, so that line i refers to the same observation across these files: the ground truth affinity value at line i corresponds to the predicted affinity value at line i, the drug/target indices at line i and is assigned to the fold at line i.- No missing lines or header rows are present in any file.

Formats and conventions- CSV with comma delimiter, UTF-8 encoding, Unix line endings.- Decimal separator: dot (e.g., 0.1234).- Whitespace is not significant; trailing/leading spaces should be ignored.- Valid value types:  - Affinity (ground truth, predictions): floating-point numbers (e.g., 1.0, 0.567, NaN not allowed).  - Indices: integers >= 0 (0-based).  - Folds: integers >= 0 (0-based).

Placeholders- DATA: identifier of a dataset (davis, metz, merget, kiba, IC, E, GPCR).- METHOD: identifier of the learning algorithm (KRLSKRG, KRLSLRG, KRLSKRL, KRLSLRL, kNN, ltr, RF, XGBoost, DDTA, FF, GT).- CONDITION: learning problem (IDIT, IDOT, ODIT, ODOT).
DOI: 10.5281/zenodo.18414097
title: Evaluation of the antimigraine and anti-neuroinflammatory activity of purified constituents of Petasites hybridus L. in a migraine-like pain model in mice - dataset

description: Dataset of files (.xlsx,) used in the article "Evaluation of the antimigraine and anti-neuroinflammatory activity of purified constituents of Petasites hybridus L. in a migraine-like pain model in mice". 

Dataset including:



.xlsx files:



BV2 raw data of CBA

BV2 raw data of cytotoxicity (MTT) and Griess assays

ELISA of cytokines levels - raw data

LCMS of brain homogenates - raw data of amino acids and neurotranmiters levels

LCMS of brain homogenates - raw data of compounds levels
DOI: 10.5281/zenodo.18414098
title: Evaluation of the antimigraine and anti-neuroinflammatory activity of purified constituents of Petasites hybridus L. in a migraine-like pain model in mice - dataset

description: Dataset of files (.xlsx,) used in the article "Evaluation of the antimigraine and anti-neuroinflammatory activity of purified constituents of Petasites hybridus L. in a migraine-like pain model in mice". 

Dataset including:



.xlsx files:



BV2 raw data of CBA

BV2 raw data of cytotoxicity (MTT) and Griess assays

ELISA of cytokines levels - raw data

LCMS of brain homogenates - raw data of amino acids and neurotranmiters levels

LCMS of brain homogenates - raw data of compounds levels
DOI: 10.15468/dl.ckaxe7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laobambos",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005832-260126135527185/datasets/export for details.
DOI: 10.5281/zenodo.18413992
title: De Facto Corporate Control in Capital-Intensive Development Projects: Managerial Decision Chains, Financial Flow Governance and Cross-Border Compliance Exposure (Eurasian Case-Based Analytical Study)

description: This analytical report examines mechanisms of de facto corporate control redistribution in capital-intensive development and infrastructure projects, with particular focus on governance transformation occurring without formal ownership restructuring.

The study is based on empirical reconstruction of a large-scale development project control transformation sequence in a Central Eurasian investment environment, combined with comparative analysis of regional investment and corporate governance practices.

The report analyzes how effective control may be established through managerial decision chains, financial flow authorization structures, contractor ecosystem influence and asset encumbrance-based governance mechanisms. Special attention is given to the interaction between effective control redistribution and cross-border financial exposure, including foreign collateral structures and international financing participation.

The research further evaluates implications for international investors, financial institutions and compliance frameworks, including AML/KYC risk assessment, beneficial ownership transparency requirements and sanctions exposure monitoring.

The findings support the growing importance of functional governance analysis, financial flow control mapping and effective control verification in modern capital-intensive project risk assessment and international compliance practice.
DOI: 10.5281/zenodo.18413991
title: De Facto Corporate Control in Capital-Intensive Development Projects: Managerial Decision Chains, Financial Flow Governance and Cross-Border Compliance Exposure (Eurasian Case-Based Analytical Study)

description: This analytical report examines mechanisms of de facto corporate control redistribution in capital-intensive development and infrastructure projects, with particular focus on governance transformation occurring without formal ownership restructuring.

The study is based on empirical reconstruction of a large-scale development project control transformation sequence in a Central Eurasian investment environment, combined with comparative analysis of regional investment and corporate governance practices.

The report analyzes how effective control may be established through managerial decision chains, financial flow authorization structures, contractor ecosystem influence and asset encumbrance-based governance mechanisms. Special attention is given to the interaction between effective control redistribution and cross-border financial exposure, including foreign collateral structures and international financing participation.

The research further evaluates implications for international investors, financial institutions and compliance frameworks, including AML/KYC risk assessment, beneficial ownership transparency requirements and sanctions exposure monitoring.

The findings support the growing importance of functional governance analysis, financial flow control mapping and effective control verification in modern capital-intensive project risk assessment and international compliance practice.
DOI: 10.6084/m9.figshare.28121759
title: Dataset for Responsibility Attribution and Apology Effects in Human–Robot Collaboration Tasks

description: Dataset for Responsibility Attribution and Apology Effects in Human–Robot Collaboration Tasks
DOI: 10.6084/m9.figshare.28121759.v1
title: Dataset for Responsibility Attribution and Apology Effects in Human–Robot Collaboration Tasks

description: Dataset for Responsibility Attribution and Apology Effects in Human–Robot Collaboration Tasks
DOI: 10.15468/dl.ybffrn
title: Occurrence Download

description: A dataset containing 2614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Purshia tridentata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2614 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005833-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.