cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tvd6xg
title: Occurrence Download

description: A dataset containing 3130 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Oulema gallaeciana (Heyden, 1870)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3130 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105332-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsz42u
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Heliopathes cribratostriatus Mulsant & Rey, 1854",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105336-240626123714530/datasets/export for details.
DOI: 10.15468/dl.94tfen
title: Occurrence Download

description: A dataset containing 11158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphyrna mokarran (Rüppell, 1837)"
 ]
}

 The dataset includes 11158 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105335-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4sejk4
title: Occurrence Download

description: A dataset containing 2 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tapinocyba maureri Thaler, 1991",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105337-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfnwkm
title: Occurrence Download

description: A dataset containing 2680 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Oulema melanopus (Linnaeus, 1761)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2680 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105338-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhw8e8
title: Occurrence Download

description: A dataset containing 1410 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Phylan gibbus (Fabricius, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1410 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105339-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pczuh5
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tapinocyba lucana Millidge, 1979",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105340-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wf6up3
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Oulema magistrettiorum (Ruffo, 1964)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105342-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jcw9bw
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Geometry POLYGON((-73.16656 -36.82033,-73.16908 -36.94673,-73.04253 -36.95277,-73.04316 -36.92861,-73.07149 -36.84452,-73.10801 -36.80773,-73.16656 -36.82033))",
 "HasGeospatialIssue is false",
 "TaxonKey is Myocastor coypus (Molina, 1782)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105341-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4498bj
title: Occurrence Download

description: A dataset containing 782 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Elevation 150-250m",
 "GadmGid is one of (COL.21.18_2)",
 "StateProvince is one of (meta)",
 "TaxonKey is one of (Anura)"
 ]
 }
 ]
}

 The dataset includes 782 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105344-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9vgj6
title: Occurrence Download

description: A dataset containing 10196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Spheniscus humboldti Meyen, 1834"
 ]
}

 The dataset includes 10196 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105343-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yh8jf
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Heliopathes cribratus Chevrolat, 1865",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105345-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ygndqv
title: Occurrence Download

description: A dataset containing 196 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tapinocyba affinis Lessert, 1907",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 196 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105346-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrykt7
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gastrophysa unicolor (Marsham, 1802)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105347-240626123714530/datasets/export for details.
DOI: 10.15468/dl.y9b8pc
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Heliopathes rotundicollis (Lucas, 1849)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105348-240626123714530/datasets/export for details.
DOI: 10.15468/dl.rqxkpt
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "Elevation 150-250m",
 "GadmGid is one of (COL.21.18_2)",
 "StateProvince is one of (meta)",
 "TaxonKey is one of (Squamata, Crocodylia, Testudines)"
 ]
 }
 ]
}

 The dataset includes 428 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105349-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6drs2m
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tapinocyba abetoneensis Wunderlich, 1980",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105350-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ac3c2n
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gastrophysa analis Reitter, 1890",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105351-240626123714530/datasets/export for details.
DOI: 10.15468/dl.mfsg7f
title: Occurrence Download

description: A dataset containing 295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.15176 -36.89555,-73.09966 -36.90632,-73.08071 -36.96015,-73.04282 -36.94852,-73.06177 -36.85421,-73.09062 -36.81201,-73.12636 -36.81072,-73.16382 -36.81761,-73.15306 -36.85551,-73.15176 -36.89555))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus melancoryphus (Molina, 1782)"
 ]
}

 The dataset includes 295 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105352-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edd8df
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Heliopathes heydeni (Reitter, 1904)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105353-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5pvnvv
title: Occurrence Download

description: A dataset containing 16 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Tapinocyba mitis (O.Pickard-Cambridge, 1882)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105354-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6tpsk
title: Occurrence Download

description: A dataset containing 17079 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Gastrophysa viridula (De Geer, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 17079 records from 198 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105355-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48436/k6db9-dh154
title: I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity

description: The data used for the analysis in the paper entitled "I Can Tell by Your Eyes! Continuous Gaze-Based Turn-Activity Prediction Reveals Spatial Familiarity" published in LIPIcs, Volume 240, COSIT 2022

How to Cite?

Alinaghi, N., Kattenbeck, M., & Giannopoulos, I. (2022). I can tell by your eyes! continuous gaze-based turn-activity prediction reveals spatial familiarity. In 15th International Conference on Spatial Information Theory (COSIT 2022). Schloss-Dagstuhl-Leibniz Zentrum für Informatik.
description: Spatial familiarity plays an essential role in the wayfinding decision-making process. Recent findings in wayfinding activity recognition domain suggest that wayfinders' turning behavior at junctions is strongly influenced by their spatial familiarity. By continuously monitoring wayfinders' turning behavior as reflected in their eye movements during the decision-making period (i.e., immediately after an instruction is received until reaching the corresponding junction for which the instruction was given), we provide evidence that familiar and unfamiliar wayfinders can be distinguished. By applying a pre-trained XGBoost turning activity classifier on gaze data collected in a real-world wayfinding task with 33 participants, our results suggest that familiar and unfamiliar wayfinders show different onset and intensity of turning behavior. These variations are not only present between the two classes -familiar vs. unfamiliar- but also within each class. The differences in turning-behavior within each class may stem from multiple sources, including different levels of familiarity with the environment.
DOI: 10.48436/c61md-xr327
title: GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

description: Structured light-based depth sensors provide accurate depth information independently of the scene appearance by extracting pattern positions from the captured pixel intensities.
Spatial neighborhood encoding, in particular, is a popular structured light approach for off-the-shelf hardware. However, it suffers from the distortion and fragmentation of the projected pattern by the scene's geometry in the vicinity of a pixel. This forces algorithms to find a delicate balance between depth prediction accuracy and robustness to pattern fragmentation or appearance change. While stereo matching provides more robustness at the expense of accuracy, we show that learning to regress a pixel's position within the projected pattern is not only more accurate when combined with classification but can be made equally robust. We propose to split the regression problem into smaller classification sub-problems in a coarse-to-fine manner with the use of a weight-adaptive layer that efficiently implements branching per-pixel Multilayer Perceptrons applied to features extracted by a Convolutional Neural Network.
As our approach requires full supervision, we train our algorithm on a rendered dataset sufficiently close to the real-world domain. On a separately captured real-world dataset, we show that our network outperforms state-of-the-art and is significantly more robust than other regression-based approaches.
description: dataset.zip: Training and validation data, synthetic as well as captured. 
dataset_jpg.zip: The same dataset but with lossy jpg encoding for IR images. 
trained_models.zip: Models trained on the synthetic data.
DOI: 10.48436/q76vf-y9t57
title: GigaDepth: Learning Depth from Structured Light with Branching Neural Networks

description: Structured light-based depth sensors provide accurate depth information independently of the scene appearance by extracting pattern positions from the captured pixel intensities.
Spatial neighborhood encoding, in particular, is a popular structured light approach for off-the-shelf hardware. However, it suffers from the distortion and fragmentation of the projected pattern by the scene's geometry in the vicinity of a pixel. This forces algorithms to find a delicate balance between depth prediction accuracy and robustness to pattern fragmentation or appearance change. While stereo matching provides more robustness at the expense of accuracy, we show that learning to regress a pixel's position within the projected pattern is not only more accurate when combined with classification but can be made equally robust. We propose to split the regression problem into smaller classification sub-problems in a coarse-to-fine manner with the use of a weight-adaptive layer that efficiently implements branching per-pixel Multilayer Perceptrons applied to features extracted by a Convolutional Neural Network.
As our approach requires full supervision, we train our algorithm on a rendered dataset sufficiently close to the real-world domain. On a separately captured real-world dataset, we show that our network outperforms state-of-the-art and is significantly more robust than other regression-based approaches.
description: dataset.zip: Training and validation data, synthetic as well as captured. 
dataset_jpg.zip: The same dataset but with lossy jpg encoding for IR images. 
trained_models.zip: Models trained on the synthetic data.
DOI: 10.48436/0xjws-z6z56
title: ViPErLEED Supporting Information – LEED-I(V) Fe₂O₃(1-102)-(1×1)

description: This dataset contains two archives that serve as supporting information to the ViPErLEED paper titled "ViPErLEED package I: Calculation of I(V) curves and structural optimization". The archives contain quantitative low-energy electron diffraction — LEED-I(V) — measurements and calculations for the Fe₂O₃(1-102)-(1×1) surface.

For up-to-date information on ViPErLEED see our homepage at https://www.viperleed.org. The ViPErLEED source code is hosted on GitHub under https://github.com/viperleed.

Below is a list of the contents of the two archives. For details, see the respective README files.

LEED-IV_data_Fe2O3-1x1/├── edit_Fe2O3(1-102)-1x1.csv            <-- Curve-Editor Edit file├── EXPBEAMS_Fe2O3(1-102)-1x1.csv        <-- Final extracted I(V) curves├── IV_videos/                           <-- Raw LEED-I(V) videos│   └── ...├── pattern_file_Fe2O3(1-102)-(1x1).csv  <-- Pattern file used by the Spot Tracker├── raw_image_E=261.5.png                <-- Representative snapshot LEED pattern├── README.txt                           <-- This README file├── Spot_Tracker-extraction/             <-- Spot-Tracker logs and results│   └── ...└── Spot_Tracker-mask_1x1.tif            <-- Mask used by the Spot Tracker

LEED-IV_calculation_Fe2O3-1x1/├── errors_summary/                      <-- Uncertainties for fitted structure│   └── ...├── history.info                         <-- List of calculations steps and notes├── history/                             <-- Intermediate inputs and outputs│   └── ...├── Fe2O3_inputs/                        <-- Initial inputs│   ├── POSCAR│   ├── PARAMETERS│   └── EXPBEAMS.csv├── Fe2O3_converged/                     <-- Final structure#│   ├── CONTCAR_relaxed│   ├── LEED_to_DFT_atom_numbers.txt│   ├── POSCAR_bestfit│   └── VIBROCC_bestfit└── README.txt                           <-- This README file