cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13304407
title: Expansion Cones Dataset for Robust Tetrahedral Mapping Evaluation

description: This record stores the dataset used by the "Expansion Cones" paper.This paper presents a volumetric mapping method called Shrink-And-Expand (SAE for short).Its robustness was evaluated by mapping ~3'000 ball-topology meshes to 4 different target boundaries (spherical, tetrahedral, "stiff" tetrahedral and random star-shaped). Other tetrahedral mapping methods can be evaluated by using the rest meshes and either of the target boundaries.

The record is structured as follows:



`ball_topology_tet_wild_ovm_format`: all input meshes in their original shapes, in .ovm format. These consists of the TetWild dataset, restricted to ball-topology meshes. If you need to convert the meshes to another format, you can use Martin Heistermann's fork of meshio.NOTE: Those meshes were pre-processed by splitting all interior edges connecting two boundary vertices and all interior faces connecting three boundary vertices. This was done to satisfy the prerequisites of our method.

`XXX_boundary_conditions.zip`: boundary conditions for the 4 boundary shapes: tetrahedral, "stiff" tetrahedral, ball and random star-shape. Please read the related paper for more details about the boundary types.Those boundary conditions are stored as `.txt` files, each containing a list of boundary vertices indices, along with their prescribed positions.


The other archives contain data used to compare SAE with two other volumetric mapping methods called Total Lifted Content (TLC) and FoldOver-Free (FOF)



 `SAE_results/expansion_data`: All `.json` files corresponding to executions of our method (SAE) on those meshes.

 `SAE_results/quality_stats`: conformal and volumetric distortion values for _all_ cells of _all_ meshes.

`TLC_FOF_results`: For each mesh and each competitor method (and each boundary map), there are 1 to 3 files, depending on the results of running those methods.



`TLC/FOF_timing_s.txt` gives the number of seconds it took to run

`TLC/FOF_stats.txt` stores the following data: `[mesh name, #vertices, #edges, #faces, #cells, #degenerate cells after running the method, #flipped cells after running the method]`. This file only exists if the method terminated within the 12hours time limit.

`TLC/FOF_quality_stats.txt` lists the conformal and volumetric distortion of each individual cell in the resulting map produced by the competitor methods (one line per cell), This file only exists if the method produced a valid map.




 

NOTE: If you want to download the codomain meshes, with prescribed boundary positions already set. you can find them in the v2.0 of this same dataset.
DOI: 10.5281/zenodo.8033130
title: Expansion Cones Dataset for Robust Tetrahedral Mapping Evaluation

description: This record stores the dataset used by the "Expansion Cones" paper.This paper presents a volumetric mapping method called Shrink-And-Expand (SAE for short).Its robustness was evaluated by mapping ~3'000 ball-topology meshes to 4 different target boundaries (spherical, tetrahedral, "stiff" tetrahedral and random star-shaped). Other tetrahedral mapping methods can be evaluated by using the rest meshes and either of the target boundaries.

The record is structured as follows:



`ball_topology_tet_wild_ovm_format`: all input meshes in their original shapes, in .ovm format. These consists of the TetWild dataset, restricted to ball-topology meshes. If you need to convert the meshes to another format, you can use Martin Heistermann's fork of meshio.NOTE: Those meshes were pre-processed by splitting all interior edges connecting two boundary vertices and all interior faces connecting three boundary vertices. This was done to satisfy the prerequisites of our method.

`XXX_boundary_conditions.zip`: boundary conditions for the 4 boundary shapes: tetrahedral, "stiff" tetrahedral, ball and random star-shape. Please read the related paper for more details about the boundary types.Those boundary conditions are stored as `.txt` files, each containing a list of boundary vertices indices, along with their prescribed positions.


The other archives contain data used to compare SAE with two other volumetric mapping methods called Total Lifted Content (TLC) and FoldOver-Free (FOF)



 `SAE_results/expansion_data`: All `.json` files corresponding to executions of our method (SAE) on those meshes.

 `SAE_results/quality_stats`: conformal and volumetric distortion values for _all_ cells of _all_ meshes.

`TLC_FOF_results`: For each mesh and each competitor method (and each boundary map), there are 1 to 3 files, depending on the results of running those methods.



`TLC/FOF_timing_s.txt` gives the number of seconds it took to run

`TLC/FOF_stats.txt` stores the following data: `[mesh name, #vertices, #edges, #faces, #cells, #degenerate cells after running the method, #flipped cells after running the method]`. This file only exists if the method terminated within the 12hours time limit.

`TLC/FOF_quality_stats.txt` lists the conformal and volumetric distortion of each individual cell in the resulting map produced by the competitor methods (one line per cell), This file only exists if the method produced a valid map.




 

NOTE: If you want to download the codomain meshes, with prescribed boundary positions already set. you can find them in the v2.0 of this same dataset.
DOI: 10.5281/zenodo.8033132
title: Expansion Cones Dataset for Robust Tetrahedral Mapping Evaluation

description: This initial version of the dataset contains the wrong input meshes. Please refer to the upgraded version for the correct input meshes.
description: {"references": ["Nigolian et al. (2023), Expansion Cones: A Progressive Volumetric Mapping Framework, doi:10.1145/3592421"]}
DOI: 10.5281/zenodo.8304643
title: Expansion Cones Dataset for Robust Tetrahedral Mapping Evaluation

description: This record stores the dataset used by the "Expansion Cones" paper.This paper presents a volumetric mapping method called Shrink-And-Expand (SAE for short).Its robustness was evaluated by mapping ~3'000 ball-topology meshes to 4 different target boundaries (spherical, tetrahedral, "stiff" tetrahedral and random star-shaped). Other tetrahedral mapping methods can be evaluated by using the rest meshes and either of the target boundaries.

The record is structured as follows:



`ball_topology_tet_wild_ovm_format`: all input meshes in their original shapes, in .ovm format. These consists of the TetWild dataset, restricted to ball-topology meshes. If you need to convert the meshes to another format, you can use Martin Heistermann's fork of meshio.NOTE: Those meshes were pre-processed by splitting all interior edges connecting two boundary vertices and all interior faces connecting three boundary vertices. This was done to satisfy the prerequisites of our method.

`input_meshes_with_XXX_mapped_boundary`: all those meshes mapped to 4 boundary shapes: tetrahedral, "stiff" tetrahedral, ball and random star-shape. Please read the related paper for more details about the boundary types.


These meshes are also all in `.ovm` format. The interior vertices are all located at the origin, which is inside of the kernel of their boundary.The other archives contain data used to compare SAE with two other volumetric mapping methods called Total Lifted Content (TLC) and FoldOver-Free (FOF)



 `SAE_results/expansion_data`: All `.json` files corresponding to executions of our method (SAE) on those meshes.

 `SAE_results/quality_stats`: conformal and volumetric distortion values for _all_ cells of _all_ meshes.

`TLC_FOF_results`: For each mesh and each competitor method (and each boundary map), there are 1 to 3 files, depending on the results of running those methods.



`TLC/FOF_timing_s.txt` gives the number of seconds it took to run

`TLC/FOF_stats.txt` stores the following data: `[mesh name, #vertices, #edges, #faces, #cells, #degenerate cells after running the method, #flipped cells after running the method]`. This file only exists if the method terminated within the 12hours time limit.

`TLC/FOF_quality_stats.txt` lists the conformal and volumetric distortion of each individual cell in the resulting map produced by the competitor methods (one line per cell), This file only exists if the method produced a valid map.
DOI: 10.15468/dl.42nph2
title: Occurrence Download

description: A dataset containing 98964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cheloniidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 98964 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063020-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13284274
title: Empowering Rural Women: Key Factors Driving Participation in Livelihood Credit Programs in Gubaflto Wereda, North Wollo, Ethiopia

description: Raw Data for  the research title "Empowering Rural Women: Key Factors Driving Participation in Livelihood Credit Programs in Gubaflto Wereda, North Wollo, Ethiopia"
DOI: 10.5281/zenodo.13284273
title: Empowering Rural Women: Key Factors Driving Participation in Livelihood Credit Programs in Gubaflto Wereda, North Wollo, Ethiopia

description: Raw Data for  the research title "Empowering Rural Women: Key Factors Driving Participation in Livelihood Credit Programs in Gubaflto Wereda, North Wollo, Ethiopia"
DOI: 10.15468/dl.7ncmja
title: Occurrence Download

description: A dataset containing 2455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Drosera anglica Huds."
 ]
}

 The dataset includes 2455 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063022-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25828/h6a9-5a22
title: Master List of Schools 2016
DOI: 10.15468/dl.m4ezx6
title: Occurrence Download

description: A dataset containing 50419 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Michigan Museum of Paleontology - Vertebrates"
 ]
}

 The dataset includes 50419 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063023-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10719619
title: Codes and data to assess Arctic-boreal Northwestern North America vegetation resilience
DOI: 10.15468/dl.kwttj7
title: Occurrence Download

description: A dataset containing 1081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anopetia gounellei (Boucard, 1891)"
 ]
}

 The dataset includes 1081 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063024-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyu7re
title: Occurrence Download

description: A dataset containing 302143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is 1950,2023",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Erinaceus europaeus Linnaeus, 1758"
 ]
}

 The dataset includes 302143 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063016-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjdev7
title: Occurrence Download

description: A dataset containing 2460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Drosera brevifolia Pursh"
 ]
}

 The dataset includes 2460 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063025-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9gbtk
title: Occurrence Download

description: A dataset containing 104568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 104568 records from 951 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063019-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4778z
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros ranirisonii G.E.Schatz, Lowry & Phillipson"
 ]
}

 The dataset includes 182 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025482-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hamvk2
title: Occurrence Download

description: A dataset containing 382294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Coordinate out of range, Geodetic datum assumed WGS84, Continent derived from coordinates, Continent derived from country, Continent country mismatch, Continent coordinate mismatch, Country derived from coordinates, Country mismatch, Country coordinate mismatch)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ammodramus savannarum (J.F.Gmelin, 1789)",
 "Year 1946-2023"
 ]
}

 The dataset includes 382294 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047301-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzfkxb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 2.2.1.1) Abundance of sympagic meiofauna of sea-ice core IO-3"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010480-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkzchx
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplazium decurrens Bedd."
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025521-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x93kut
title: Occurrence Download

description: A dataset containing 69907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parnassius apollo (Linnaeus, 1758)",
 "Year 1024-2024"
 ]
}

 The dataset includes 69907 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004047-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a1ulao
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Benthic foraminiferal genera in DSDP Core 95-612-69"
 ]
}

 The dataset includes 201 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010480-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8vhfe
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Lithrea caustica Hook. & Arn., Lithrea caustica var. caustica, Lithrea caustica var. pilosa Engl.)"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025726-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjqnbw
title: Occurrence Download

description: A dataset containing 48569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arecaceae",
 {
 "or" : [
 "Country is El Salvador",
 "Country is Nicaragua",
 "Country is Mexico",
 "Country is Honduras"
 ]
 },
 "Geometry POLYGON((-97.92 12.16,-97.92 20.56,-84.14 20.56,-84.14 12.16,-97.92 12.16))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 48569 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010480-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cn7b4
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Filetia scortechinii C.B.Clarke"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051597-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7c6un
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dianthus albens (Sol.)"
 ]
}

 The dataset includes 337 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025971-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvittb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 2.2.1.1) Abundance of sympagic meiofauna of sea-ice core IO-5"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010481-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dy9gjt
title: Occurrence Download

description: A dataset containing 6000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Coordinate out of range, Geodetic datum assumed WGS84, Continent derived from coordinates, Continent derived from country, Continent country mismatch, Continent coordinate mismatch, Country derived from coordinates, Country mismatch, Country coordinate mismatch)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dendroica plumbea Lawrence, 1877, Setophaga plumbea (Lawrence, 1877))",
 "Year 1946-2023"
 ]
}

 The dataset includes 6000 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047291-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dktcm
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didymocarpus salviiflorus Chun"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025470-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3tcum
title: Occurrence Download

description: A dataset containing 1620424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Coordinate out of range, Geodetic datum assumed WGS84, Continent derived from coordinates, Continent derived from country, Continent country mismatch, Continent coordinate mismatch, Country derived from coordinates, Country mismatch, Country coordinate mismatch)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dendroica virens (J.F.Gmelin, 1789), Setophaga virens (J.F.Gmelin, 1789))",
 "Year 1946-2023"
 ]
}

 The dataset includes 1620424 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047296-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xist80
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Benthic foraminiferal distribution at ODP Site 127-794"
 ]
}

 The dataset includes 134 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010481-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msanb3
title: Occurrence Download

description: A dataset containing 5712 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Iodopleura isabellae Parzudaki, 1847"
 ]
}

 The dataset includes 5712 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025424-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.