cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15251723
title: LSJ-based Greek–English Dictionary for Lemmatized Ancient Greek Texts

description: This digital Greek–English dictionary is designed to support computational analysis of lemmatized Ancient Greek texts, particularly in connection with the LAGT (Lemmatized Ancient Greek Texts) dataset. It provides English definitions for lemmatized Greek words, facilitating semantic and lexical exploration of Ancient Greek corpora.

The dictionary was created by matching a cleaned LAGT-derived vocabulary (n ≥ 2) with entries from the LSJ lexicon included in the open-source Diogenes software. Definitions were extracted from the XML-encoded “grc.lsj” file using a custom Python parser. In addition, 170 entries were added manually, mostly proper names. Unmatched items were excluded from the final version.

The dictionary is distributed as a JSON file. Each entry contains the original lemma, a normalized form, and a list of English definitions: 

{

  "lemma": "φιλοσοφία",

  "lemma_normalized": "φιλοσοφια",

  "definitions": [

    "love of knowledge, pursuit thereof, speculation",

    "philosophy",

    "systematic, methodical treatment"

  ]

}

The first release includes 64,774 unique raw lemmas and 46,693 normalized lemmas. A sample of 150 entries was manually reviewed to assess overall accuracy. However, due to the automated nature of the process, some errors may remain. Future versions will aim to increase the proportion of manually validated entries.

The publication also includes a small Python script (lookup.py) that can be used from the command line to retrieve definitions by supplying a Greek lemma, and it supports both raw and normalized forms.

This dictionary is optimized for offline use in Python workflows and can be easily integrated into a wide range of computational analyses of Ancient Greek texts.

This work was supported by research grants from the Finnish Cultural Foundation and the Emil Aaltonen Foundation.
DOI: 10.5281/zenodo.15251724
title: LSJ-based Greek–English Dictionary for Lemmatized Ancient Greek Texts

description: This digital Greek–English dictionary is designed to support computational analysis of lemmatized Ancient Greek texts, particularly in connection with the LAGT (Lemmatized Ancient Greek Texts) dataset. It provides English definitions for lemmatized Greek words, facilitating semantic and lexical exploration of Ancient Greek corpora.

The dictionary was created by matching a cleaned LAGT-derived vocabulary (n ≥ 2) with entries from the LSJ lexicon included in the open-source Diogenes software. Definitions were extracted from the XML-encoded “grc.lsj” file using a custom Python parser. In addition, 170 entries were added manually, mostly proper names. Unmatched items were excluded from the final version.

The dictionary is distributed as a JSON file. Each entry contains the original lemma, a normalized form, and a list of English definitions: 

{

  "lemma": "φιλοσοφία",

  "lemma_normalized": "φιλοσοφια",

  "definitions": [

    "love of knowledge, pursuit thereof, speculation",

    "philosophy",

    "systematic, methodical treatment"

  ]

}

The first release includes 64,774 unique raw lemmas and 46,693 normalized lemmas. A sample of 150 entries was manually reviewed to assess overall accuracy. However, due to the automated nature of the process, some errors may remain. Future versions will aim to increase the proportion of manually validated entries.

The publication also includes a small Python script (lookup.py) that can be used from the command line to retrieve definitions by supplying a Greek lemma, and it supports both raw and normalized forms.

This dictionary is optimized for offline use in Python workflows and can be easily integrated into a wide range of computational analyses of Ancient Greek texts.

This work was supported by research grants from the Finnish Cultural Foundation and the Emil Aaltonen Foundation.
DOI: 10.15468/dl.n5p2bh
title: Occurrence Download

description: A dataset containing 860655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((122.23334 21.57035,126.30882 23.09496,125.40331 29.8913,127.8443 32.51887,117.42987 34.55874,114.22041 30.76644,122.23334 21.57035))",
 "Month is one of (April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2015"
 ]
}

 The dataset includes 860655 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014397-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssx9bq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "TaxonKey is Actinopterygii"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014411-250426092105405/datasets/export for details.
DOI: 10.15468/dl.tdbq6k
title: Occurrence Download

description: A dataset containing 8085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is CAS Herpetology (HERP)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8085 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014412-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnbks6
title: Occurrence Download

description: A dataset containing 2033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Casuarina L."
 ]
}

 The dataset includes 2033 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014413-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55tgmp
title: Occurrence Download

description: A dataset containing 1681402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Centaurea L."
 ]
}

 The dataset includes 1681402 records from 4084 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014409-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18235230
title: Polinequal dataset + population survey GB/FR/SE 2024-2025; SDO, system-justifying beliefs, emotions, and redistributive preferences

description: This record contains dataset + questionnaire (N=9,014). Data was collected in 2024 in France and Great Britain and in 2025 in Sweden. The selected variables comprise emotions elicited by income and wealth inequality, social dominance orientation,  system-justifying beliefs, and redistributive preferences.
DOI: 10.5281/zenodo.18235231
title: Polinequal dataset + population survey GB/FR/SE 2024-2025; SDO, system-justifying beliefs, emotions, and redistributive preferences

description: This record contains dataset + questionnaire (N=9,014). Data was collected in 2024 in France and Great Britain and in 2025 in Sweden. The selected variables comprise emotions elicited by income and wealth inequality, social dominance orientation,  system-justifying beliefs, and redistributive preferences.
DOI: 10.13140/rg.2.2.29601.26721
title: Candidata 1 de concentración gaussiana de estrellas invisibles: 47 Tucanae
DOI: 10.15468/dl.xu7vjt
title: Occurrence Download

description: A dataset containing 6650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phthorimaea operculella (Zeller, 1873)"
 ]
}

 The dataset includes 6650 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004727-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwp3tm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Bromus pectinatus",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004732-250525065834625/datasets/export for details.
DOI: 10.15468/dl.7ruypz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Cenchrus ciliaris",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004734-250525065834625/datasets/export for details.
DOI: 10.15468/dl.3gdpuz
title: Occurrence Download

description: A dataset containing 3411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-540.0",
 "Depth 0.0-9999.0m",
 "Elevation 0.0-0.0m",
 "Geometry POLYGON((-128.10342 20.01539,-101.00818 20.01539,-101.00818 34.06672,-128.10342 34.06672,-128.10342 20.01539))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present",
 "Year 1995-2025"
 ]
}

 The dataset includes 3411 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004726-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96hw44
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Capparis sepiaria",
 "Geometry POLYGON((29.0 -26.5, 31.5 -26.5, 31.5 -24.5, 29.0 -24.5, 29.0 -26.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004733-250525065834625/datasets/export for details.
DOI: 10.15468/dl.aymw9n
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Gerridae"
 ]
}

 The dataset includes 650 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004722-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7f4r94y4cb.1
title: LINF_170010800

description: RMC1-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.7honhp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075184-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaw6gt
title: Occurrence Download

description: A dataset containing 39385280 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 39385280 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152363-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11582604
title: Supplement - Physiographic Variable Raster Data

description: To link physiographic variables to lithology and trail characteristics (Objective 2), we created process domain maps and used principal component analysis considering physiographic variables such as slope, topographic position index (TPI), and concavity as a function of lithology and trail type. All metrics were calculated using ArcGIS Pro and lidar collected 2013 by McKim & Creed Inc. for City of Boulder. High-resolution lidar data can be useful in determining different types of processes, ranging from slow creep to landslides (Booth et al. 2009; Booth et al. 2013) and variables like slope highlight areas where mass movements are likely to occur. Similarly, concavity, or landscape curvature, indicates where advective versus diffusive processes occur, correlated to convex versus concave landscapes, respectively (Dietrich and Perron 2006; Sweeney et al., 2015). Concave processes are dominated by diffusive movement (slope-dependent transport; Dietrich and Perron 2006). These processes are competing against one another on the hillslope and give rise to diffusion-dominated ridges and advection-dominated valleys (Dietrich and Perron 2006; Sweeney et al., 2015). The TPI is a landform classification used to determine roughness indices like valleys and ridges in the study area. The TPI was calculated at different resolutions (5-m, 10-m, 50-m, 100-m) to see if different hillslope attributes were identifiable at the different scales. To calculate the TPI, the mean for each resolution was subtracted from the Digital Elevation Model (DEM). Derived physiographic variables and GIS data products can be found in this repository. 
description: Projected Coordinate System
NAD 1983 UTM Zone 13N


Projection
Transverse Mercator


WKID
26913


Authority
EPSG


Linear Unit
Meters (1.0)




 




Geographic Coordinate System
NAD 1983


WKID
4269


Authority
EPSG


Datum
D North American 1983




Orthometric HeightCGVD2013(CGG2013a)
DOI: 10.5281/zenodo.11582605
title: Supplement - Physiographic Variable Raster Data

description: To link physiographic variables to lithology and trail characteristics (Objective 2), we created process domain maps and used principal component analysis considering physiographic variables such as slope, topographic position index (TPI), and concavity as a function of lithology and trail type. All metrics were calculated using ArcGIS Pro and lidar collected 2013 by McKim & Creed Inc. for City of Boulder. High-resolution lidar data can be useful in determining different types of processes, ranging from slow creep to landslides (Booth et al. 2009; Booth et al. 2013) and variables like slope highlight areas where mass movements are likely to occur. Similarly, concavity, or landscape curvature, indicates where advective versus diffusive processes occur, correlated to convex versus concave landscapes, respectively (Dietrich and Perron 2006; Sweeney et al., 2015). Concave processes are dominated by diffusive movement (slope-dependent transport; Dietrich and Perron 2006). These processes are competing against one another on the hillslope and give rise to diffusion-dominated ridges and advection-dominated valleys (Dietrich and Perron 2006; Sweeney et al., 2015). The TPI is a landform classification used to determine roughness indices like valleys and ridges in the study area. The TPI was calculated at different resolutions (5-m, 10-m, 50-m, 100-m) to see if different hillslope attributes were identifiable at the different scales. To calculate the TPI, the mean for each resolution was subtracted from the Digital Elevation Model (DEM). Derived physiographic variables and GIS data products can be found in this repository. 
description: Projected Coordinate System
NAD 1983 UTM Zone 13N


Projection
Transverse Mercator


WKID
26913


Authority
EPSG


Linear Unit
Meters (1.0)




 




Geographic Coordinate System
NAD 1983


WKID
4269


Authority
EPSG


Datum
D North American 1983




Orthometric HeightCGVD2013(CGG2013a)
DOI: 10.15468/dl.vtlm8d
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012101-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iwltl2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075233-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njqsek
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012105-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k1sd0
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075222-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx45ws
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012103-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.21zmkq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075212-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrkedw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012106-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11621422
title: Supplement - DEM of Difference Geomorphic Change Detection

description: Using the 2013 OSMP lidar DEM and the newly created site DEMs, DEMs of difference (DODs) were calculated for each Site to show how the landscape has changed over a period of time (James et al. 2012). Because of differences in datums, datasets created here were offset from the 2013 dataset. As such, we selected five points on DODs in areas thought to be stable (e.g., bedrock outcrops), avoiding edges of rasters, as these values are not an accurate representation of the datum shift. The five points were then averaged and DODs shifted accordingly such that DODs could be interpreted as deposition (positive values), no change, or erosion (negative values). Artifacts within the Structure from Motion data made some absolute change values unreasonable. Therefore, to aid in visual interpretation of erosion and deposition, we chose to use relative change by normalizing the ranges of DOD values with the equation: “((DOD dataset – minimum value)/ (maximum value- minimum value)) - 0.5”. These values were interpreted from -0.5 (erosion) to 0 (no change) to 0.5 (deposition). DODs can be found in this repository.
description: Projected Coordinate System
NAD 1983 UTM Zone 13N


Projection
Transverse Mercator


WKID
26913


Authority
EPSG


Linear Unit
Meters (1.0)




 




Geographic Coordinate System
NAD 1983


WKID
4269


Authority
EPSG


Datum
D North American 1983




Orthometric HeightCGVD2013(CGG2013a)
DOI: 10.5281/zenodo.11621423
title: Supplement - DEM of Difference Geomorphic Change Detection

description: Using the 2013 OSMP lidar DEM and the newly created site DEMs, DEMs of difference (DODs) were calculated for each Site to show how the landscape has changed over a period of time (James et al. 2012). Because of differences in datums, datasets created here were offset from the 2013 dataset. As such, we selected five points on DODs in areas thought to be stable (e.g., bedrock outcrops), avoiding edges of rasters, as these values are not an accurate representation of the datum shift. The five points were then averaged and DODs shifted accordingly such that DODs could be interpreted as deposition (positive values), no change, or erosion (negative values). Artifacts within the Structure from Motion data made some absolute change values unreasonable. Therefore, to aid in visual interpretation of erosion and deposition, we chose to use relative change by normalizing the ranges of DOD values with the equation: “((DOD dataset – minimum value)/ (maximum value- minimum value)) - 0.5”. These values were interpreted from -0.5 (erosion) to 0 (no change) to 0.5 (deposition). DODs can be found in this repository.
description: Projected Coordinate System
NAD 1983 UTM Zone 13N


Projection
Transverse Mercator


WKID
26913


Authority
EPSG


Linear Unit
Meters (1.0)




 




Geographic Coordinate System
NAD 1983


WKID
4269


Authority
EPSG


Datum
D North American 1983




Orthometric HeightCGVD2013(CGG2013a)
DOI: 10.15468/dl.x3c9n9
title: Occurrence Download

description: A dataset containing 1915451195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1980-2022"
 ]
}

 The dataset includes 1915451195 records from 30974 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004853-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.