cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-x25-d3r3
title: PAN-00093577 - coin/coin-related, stad, rijderschelling

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00093577&lt;/p&gt;
description: Modified: 2021-12-08T15:09:42+01:00
DOI: 10.3535/tcf-r0b-5t0
title: Rilaena triangularis (Herbst, 1799)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4wj-21y-5a5
title: Nemastoma lugubre (Müller, 1776)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s5l-nce-twh
title: Priodesmus haematopterus Jeekel, 1963

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-x25-e3sv
title: Archeologisch bureauonderzoek & Inventariserend Veldonderzoek, verkennende fase Rustenburgstraat, Puttershoek Gemeente Binnenmaas
title: B&G rapport 1182

description: &lt;p&gt;Becker & Van de Graaf bv, nu IDDS Archeologie, heeft een archeologisch bureauonderzoek en een inventariserend veldonderzoek (IVO, verkennende fase) door middel van boringen uitgevoerd aan Rustenburgstraat te Puttershoek in de gemeente Binnenmaas. Het onderzoek heeft plaatsgevonden in februari 2011. De aanleiding voor dit onderzoek is de voorziene verandering van het bestemmingsplan. Op basis van de resultaten van het inventariserend veldonderzoek door middel van een verkennend booronderzoek wordt geadviseerd om geen vervolgonderzoek uit te laten voeren.&lt;/p&gt;
description: &lt;p&gt;B&G rapport 1182&lt;/p&gt;
DOI: 10.15468/dl.gu3jv7
title: Occurrence Download

description: A dataset containing 2290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra pyrenaica Bonaparte, 1845",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 2290 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012414-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cd7fcp
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius flavomaculatus (Hu & Fei, 1978)"
 ]
}

 The dataset includes 272 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012415-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps8zn2
title: Occurrence Download

description: A dataset containing 7980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spodoptera frugiperda J.E.Smith, 1797)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7980 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012412-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtnrqy
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pharoscymnus flexibilis (Mulsant, 1853)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012416-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ub9z5
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clavariaceae",
 "Year 2000-2025"
 ]
}

 The dataset includes 422 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012417-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15038286
title: Energetic (< 2 MeV) Ion Environment of the Magnetosphere: Insights into External and Internal Drivers from ASPEX-STEPS Data onboard Aditya-L1

description: These datasets contain ASPEX-STEPS data (ion fluxes, uncertainties in the fluxes) and postions of the Aditya-L1 satellite during 11-19 September 2023.
DOI: 10.15468/dl.tdufcj
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius guizhouensis Li, Tian & Gu, 2010"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012418-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ughn4
title: Occurrence Download

description: A dataset containing 2346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tapinoma melanocephalum (Fabricius, 1793))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2346 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012419-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29908
title: Chandra X-ray Observatory ObsId 29908

description: Identifying and classifying high-energy galactic sources discovered by INTEGRAL
DOI: 10.15468/dl.dwpzgj
title: Occurrence Download

description: A dataset containing 7631 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vigna adenantha (G.Mey.) Maréchal, Mascherpa & Stainier, Vigna praecox Verdc., Vigna virescens Thulin, Vigna grahamiana (Wight & Arn.) Verdc., Vigna macrorhyncha (Harms) Milne-Redh., Vigna venusta (Piper) Maréchal, Mascherpa & Stainier, Vigna vignoides (Rusby) Maréchal, Mascherpa & Stainier, Vigna linearis (Kunth) Maréchal, Mascherpa & Stainier, Vigna linearis var. latifolia (Benth.) Maréchal, Mascherpa & Stainier, Vigna linearis var. linearis, Vigna hookeri Verdc., Vigna caracalla (L.) Verdc., Vigna firmula (Mart. ex Benth.) Maréchal, Mascherpa & Stainier, Vigna subhastata Verdc., Vigna peduncularis Fawc. & Rendle, Vigna peduncularis var. pusilla (Hassl.) Maréchal, Mascherpa & Stainier, Vigna peduncularis var. peduncularis, Vigna peduncularis var. clitorioides (Mart. ex Benth.) Maréchal, Mascherpa & Stainier, Vigna peduncularis var. clitoriodes (Mart. ex Benth.) Maréchal et al., Vigna spectabilis (Standl.) A.Delgado, Vigna megatyla (Piper) A.Delgado, Vigna latidenticulata (Harms) A.Delgado, Vigna antillana (Urb.) Fawc. & Rendle, Vigna elegans (Piper) Maréchal, Mascherpa & Stainier, Vigna halophila (Piper) Maréchal, Mascherpa & Stainier, Vigna candida (Vell.) Maréchal, Mascherpa & Stainier, Vigna appendiculata (Benth.) A.Delgado, Vigna speciosa (Kunth) Verdc.)"
 ]
}

 The dataset includes 7631 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012420-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14928775
title: Aluminium ML Recipe Generator dataset (training results)

description: Dataset: Material Combinations and Chemical Properties

Overview

This dataset is generated by the ML Recipe Generator model in the Aluminium UC and represents different combinations of materials (recipes) and their resulting (generated) chemical composition, cost, and validity. The dataset is structured to help analyze the impact of different material mixes on final product properties and evaluate whether a given recipe meets the standarized norms (product criteria).

Columns Description

The dataset consists of the following key sections:

1. General Information



desired_quantity: Target quantity for production.

total_metal_input: Total amount of metal used in the recipe.

product_code: Identifier for the produced material (renamed for anonymization).

total_input: Total input materials used.

recalculated_yield: Adjusted yield after processing.


2. Material Composition



mat_1, mat_2, ..., mat_N: The proportions of different materials used in the recipe (renamed from original material names for anonymization).


3. Final Chemical Composition

These columns represent the final chemical composition of the produced material:



Final_Al (Aluminum)

Final_Fe (Iron)

Final_Si (Silicon)

Final_Mg (Magnesium)

Final_Mn (Manganese)

Final_Cu (Copper)

Final_Cr (Chromium)

Final_Pb (Lead)

Final_Ni (Nickel)

Final_Sn (Tin)

Final_Ti (Titanium)

Final_Zn (Zinc)

Final_Sb (Antimony)

Final_Ca (Calcium)

Final_Na (Sodium)

Final_P (Phosphorus)

Final_V (Vanadium)

Final_Zr (Zirconium)

Final_Sr (Strontium)

Final_Li (Lithium)

Final_B (Boron)


4. Cost Information



final_price: The total cost of the material combination.


5. Validity Flags

The dataset includes multiple validity checks performed by different models:



valid_general: General validity flag.

valid_gan: Validity check based on a the ML Recipe Generator (ctGAN) model.

valid_predicted: Predicted validity from the Chemical Analysis Predictor (Random Forest Regressor) model.

valid_theoretical: Theoretical validity based on predefined chemical rules i.e., mass-balance equations.


Usage

This dataset can be used for:



Analyzing material recipes and their feasibility.

Optimizing cost-effective material combinations.

Evaluating model-based predictions for material validity.

Training or validating machine learning models for material property predictions.


Notes



The material columns (mat_1 to mat_N) and material codes (prod_1 to prod_N) have been renamed from their original names to maintain consistency and confidentiality.

The dataset is structured to support various material science and manufacturing applications.


For any questions or additional clarifications, feel free to reach out!
DOI: 10.5281/zenodo.14928776
title: Aluminium ML Recipe Generator dataset (training results)

description: Dataset: Material Combinations and Chemical Properties

Overview

This dataset is generated by the ML Recipe Generator model in the Aluminium UC and represents different combinations of materials (recipes) and their resulting (generated) chemical composition, cost, and validity. The dataset is structured to help analyze the impact of different material mixes on final product properties and evaluate whether a given recipe meets the standarized norms (product criteria).

Columns Description

The dataset consists of the following key sections:

1. General Information



desired_quantity: Target quantity for production.

total_metal_input: Total amount of metal used in the recipe.

product_code: Identifier for the produced material (renamed for anonymization).

total_input: Total input materials used.

recalculated_yield: Adjusted yield after processing.


2. Material Composition



mat_1, mat_2, ..., mat_N: The proportions of different materials used in the recipe (renamed from original material names for anonymization).


3. Final Chemical Composition

These columns represent the final chemical composition of the produced material:



Final_Al (Aluminum)

Final_Fe (Iron)

Final_Si (Silicon)

Final_Mg (Magnesium)

Final_Mn (Manganese)

Final_Cu (Copper)

Final_Cr (Chromium)

Final_Pb (Lead)

Final_Ni (Nickel)

Final_Sn (Tin)

Final_Ti (Titanium)

Final_Zn (Zinc)

Final_Sb (Antimony)

Final_Ca (Calcium)

Final_Na (Sodium)

Final_P (Phosphorus)

Final_V (Vanadium)

Final_Zr (Zirconium)

Final_Sr (Strontium)

Final_Li (Lithium)

Final_B (Boron)


4. Cost Information



final_price: The total cost of the material combination.


5. Validity Flags

The dataset includes multiple validity checks performed by different models:



valid_general: General validity flag.

valid_gan: Validity check based on a the ML Recipe Generator (ctGAN) model.

valid_predicted: Predicted validity from the Chemical Analysis Predictor (Random Forest Regressor) model.

valid_theoretical: Theoretical validity based on predefined chemical rules i.e., mass-balance equations.


Usage

This dataset can be used for:



Analyzing material recipes and their feasibility.

Optimizing cost-effective material combinations.

Evaluating model-based predictions for material validity.

Training or validating machine learning models for material property predictions.


Notes



The material columns (mat_1 to mat_N) and material codes (prod_1 to prod_N) have been renamed from their original names to maintain consistency and confidentiality.

The dataset is structured to support various material science and manufacturing applications.


For any questions or additional clarifications, feel free to reach out!
DOI: 10.5281/zenodo.15038715
title: Aluminium ML Recipe Generator dataset (training results)

description: Dataset: Material Combinations and Chemical Properties

Overview

This dataset is generated by the ML Recipe Generator model in the Aluminium UC and represents different combinations of materials (recipes) and their resulting (generated) chemical composition, cost, and validity. The dataset is structured to help analyze the impact of different material mixes on final product properties and evaluate whether a given recipe meets the standarized norms (product criteria).

Columns Description

The dataset consists of the following key sections:

1. General Information



desired_quantity: Target quantity for production.

total_metal_input: Total amount of metal used in the recipe.

product_code: Identifier for the produced material (renamed for anonymization).

total_input: Total input materials used.

recalculated_yield: Adjusted yield after processing.


2. Material Composition



mat_1, mat_2, ..., mat_N: The proportions of different materials used in the recipe (renamed from original material names for anonymization).


3. Final Chemical Composition

These columns represent the final chemical composition of the produced material:



Final_Al (Aluminum)

Final_Fe (Iron)

Final_Si (Silicon)

Final_Mg (Magnesium)

Final_Mn (Manganese)

Final_Cu (Copper)

Final_Cr (Chromium)

Final_Pb (Lead)

Final_Ni (Nickel)

Final_Sn (Tin)

Final_Ti (Titanium)

Final_Zn (Zinc)

Final_Sb (Antimony)

Final_Ca (Calcium)

Final_Na (Sodium)

Final_P (Phosphorus)

Final_V (Vanadium)

Final_Zr (Zirconium)

Final_Sr (Strontium)

Final_Li (Lithium)

Final_B (Boron)


4. Cost Information



final_price: The total cost of the material combination.


5. Validity Flags

The dataset includes multiple validity checks performed by different models:



valid_general: General validity flag.

valid_gan: Validity check based on a the ML Recipe Generator (ctGAN) model.

valid_predicted: Predicted validity from the Chemical Analysis Predictor (Random Forest Regressor) model.

valid_theoretical: Theoretical validity based on predefined chemical rules i.e., mass-balance equations.


Usage

This dataset can be used for:



Analyzing material recipes and their feasibility.

Optimizing cost-effective material combinations.

Evaluating model-based predictions for material validity.

Training or validating machine learning models for material property predictions.


Notes



The material columns (mat_1 to mat_N) and material codes (prod_1 to prod_N) have been renamed from their original names to maintain consistency and confidentiality.

The dataset is structured to support various material science and manufacturing applications.


For any questions or additional clarifications, feel free to reach out!
DOI: 10.15468/dl.n66yjc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius jinfo Wei, Xiong & Zeng, 2009"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012421-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkbz5j
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iberolacerta aranica (Arribas, 1993)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012422-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53vjr6
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius kuankuoshuiensis Xu & Zeng, 2007"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012423-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vzkwm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius puxiongensis (Fei & Ye, 2000)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012425-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbrxu2
title: Occurrence Download

description: A dataset containing 3675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhynchophorus ferrugineus (A.G.Olivier, 1791))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3675 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012426-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nukjby
title: Occurrence Download

description: A dataset containing 36456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anopheles quadrimaculatus Say, 1824)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36456 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012424-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q24mge
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pseudohynobius shuichengensis Tian, Gu, Li, Sun & Li, 1998"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012428-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ptewz
title: Occurrence Download

description: A dataset containing 17075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((3.30831 59.35669,6.51951 57.38029,8.75338 57.97746,10.56841 58.27237,11.26649 57.00204,12.80228 55.92222,15.59463 55.68682,17.40965 56.38876,17.68889 57.60538,18.66621 58.49195,20.48123 59.14253,27.74133 60.33843,31.51099 62.60443,31.51099 63.73849,30.25444 65.00637,30.25444 65.76232,29.41673 67.04736,30.39405 67.74492,28.71865 68.62679,31.37138 69.76699,31.23176 70.98572,27.74133 71.3909,16.85118 70.94018,11.82496 69.08008,6.10065 66.10393,2.47061 62.92391,3.30831 59.35669))",
 "HasGeospatialIssue is false",
 "TaxonKey is Gulo gulo (Linnaeus, 1758)",
 "Year 2011-2022"
 ]
}

 The dataset includes 17075 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012429-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15038697
title: Windows PE Malware Dataset

description: The dataset includes the raw dataset. It contains 1000 malware and 1000 benign Windows software samples and their properties.
DOI: 10.5281/zenodo.15038698
title: Windows PE Malware Dataset

description: The dataset includes the raw dataset. It contains 1000 malware and 1000 benign Windows software samples and their properties.
DOI: 10.6084/m9.figshare.28607315
title: Sandoval-Serés E, et al. 2025. Spatio-temporal dynamics of African wild dogs in response to larger carnivores in an ecosystem with artificial water provisioning. Biological Conservation.

description: Data and R code used in the publication of:Sandoval-Serés E, Dröge E, Valeix M, van der Meer E, Sousa LL, Seymour-Smith J, Sibanda A, Say-Sallaz E, Campbell L, Naware D, Madhlamoto D, Mandisodza-Chikerema R, and Loveridge AJ. <i>In press 2025</i>.Spatio-temporal dynamics of African wild dogs in response to larger carnivores in an ecosystem with artificial water provisioning. Biological Conservation.
DOI: 10.15468/dl.r3d7ek
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iberolacerta aurelioi (Arribas, 1994)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012430-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kma4v
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attagenus lobatus Rosenhauer, 1856",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012433-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m978uc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Icerya genistae Hempel, 1912)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012432-250310093411724/datasets/export for details.