cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h2h6ge
title: Occurrence Download

description: A dataset containing 11471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.6_1",
 "Geometry POLYGON((-105.64306 38.53369,-104.7875 38.53369,-104.7875 39.16385,-105.64306 39.16385,-105.64306 38.53369))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Setophaga coronata (Linnaeus, 1766)"
 ]
}

 The dataset includes 11471 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037455-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5u8f6r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037456-250525065834625/datasets/export for details.
DOI: 10.15468/dl.k9kfew
title: Occurrence Download

description: A dataset containing 82027 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alosa pseudoharengus (Wilson, 1811)"
 ]
}

 The dataset includes 82027 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037447-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e92qsr
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 404 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037458-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmdvxm
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Cojoba rufescens (Benth.) Britton & Rose"
 ]
}

 The dataset includes 260 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037457-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5x5ba
title: Occurrence Download

description: A dataset listing the 120 species recorded in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-71.65755 46.6347, -71.65998 46.62657, -71.66338 46.62538, -71.66737 46.61907, -71.67186 46.61469, -71.66887 46.61218, -71.66962 46.60379, -71.65581 46.59401, -71.6562 46.59151, -71.6443 46.58873, -71.63613 46.5931, -71.63356 46.59778, -71.6279 46.60081, -71.63393 46.60598, -71.63249 46.60922, -71.63434 46.61245, -71.63321 46.62088, -71.64596 46.62376, -71.65258 46.62556, -71.65755 46.6347)))"
 ]
}

 The dataset's 120 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037454-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pny67
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037460-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15644743
title: DIG4EL General Agent testing result on canonical word order on 116 languages

description: These files enclose the detailed testing results of a DIG4EL General Agent (GA) test. The GA has been tasked to infer the value of 8 unknown parameters pertaining to word order in 116 languages, given the value of 7 other parameters pertaining to word order that can be automatically observed by the software.

A Leave-One-Out method has been used, whereby each test on a language uses a language model that does not include it. Each language is tested over 11 independent epochs. 

The archive contains all the raw outputs of the software: Truth tables for each epoch of each language. For each parameter, a 0 indicates a failure to predict the correct value, and a 1 indicates a success. 

This data can be reproduced using the general_agents_quantitative_comparative_analysis.py script in the source code.
DOI: 10.5281/zenodo.14774988
title: DIG4EL General Agent testing result on canonical word order on 116 languages

description: These files enclose the detailed testing results of a DIG4EL General Agent (GA) test. The GA has been tasked to infer the value of 8 unknown parameters pertaining to word order in 116 languages, given the value of 7 other parameters pertaining to word order that can be automatically observed by the software.

A Leave-One-Out method has been used, whereby each test on a language uses a language model that does not include it. Each language is tested over 11 independent epochs. 

The archive contains all the raw outputs of the software: Truth tables for each epoch of each language. For each parameter, a 0 indicates a failure to predict the correct value, and a 1 indicates a success. 

This data can be reproduced using the general_agents_quantitative_comparative_analysis.py script in the source code.
DOI: 10.15468/dl.vc2nqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus laevis (Daudin, 1802)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037462-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14511570
title: FathomDEM v1-0 Eurasia and Africa

description: FathomDEM Digital Elevation model for locations east of 30W (including Europe, Africa, Asia and part of Oceania). 

FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid visiontransformer model

FathomDEM data for locations west of 30W is available in the dataset FathomDEM v1-0 Americas
description: The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography. In addition to improving on other global DEMs, FathomDEM also has reduced error compared to coastal-focussed DEMs such as the recent DeltaDTM. This demonstrates its impressive capacity to perform for specific landscapes, while being trained globally to model a wide range of terrain types. 

FathomDEM has been tested on the downstream task of flood modeling, showing increased accuracy compared to those run with the previous best global DEM, FABDEM, approaching the performance of LiDAR based flood modeling. This improvement is attributed to FathomDEM’s smaller error and substantial reduction in artifacts. This shows the suitability of FathomDEM for applied tasks and strengthens our evaluation compared to one based on vertical error alone.
description: The dataset consists of 1x1 degree tiles provided in the format of GeoTiff files. Filenames refer to coordinates in WGS84 of the southwest corner of the tile. 

Data is packaged into 30x30 degree zip archives with southwest and northest corners specified in the filename. 

FathomDEM was produced using Copernicus WorldDEM-30 © DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. 

 

Additional metadata is as follows:




Attribute
Value


Horizontal Reference System
WGS84 (EPSG 4326)


Vertical datum
EGM08 (EPSG 3855)


Latitudes covered
S60 and above


AREA OR POINT
Point


Data filename (example)
n45e002.tif


Units of Elevation
cm


Licence
CC BY-NC-SA 4.0
DOI: 10.5281/zenodo.14511569
title: FathomDEM v1-0 Eurasia and Africa

description: FathomDEM Digital Elevation model for locations east of 30W (including Europe, Africa, Asia and part of Oceania). 

FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid visiontransformer model

FathomDEM data for locations west of 30W is available in the dataset FathomDEM v1-0 Americas
description: The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography. In addition to improving on other global DEMs, FathomDEM also has reduced error compared to coastal-focussed DEMs such as the recent DeltaDTM. This demonstrates its impressive capacity to perform for specific landscapes, while being trained globally to model a wide range of terrain types. 

FathomDEM has been tested on the downstream task of flood modeling, showing increased accuracy compared to those run with the previous best global DEM, FABDEM, approaching the performance of LiDAR based flood modeling. This improvement is attributed to FathomDEM’s smaller error and substantial reduction in artifacts. This shows the suitability of FathomDEM for applied tasks and strengthens our evaluation compared to one based on vertical error alone.
description: The dataset consists of 1x1 degree tiles provided in the format of GeoTiff files. Filenames refer to coordinates in WGS84 of the southwest corner of the tile. 

Data is packaged into 30x30 degree zip archives with southwest and northest corners specified in the filename. 

FathomDEM was produced using Copernicus WorldDEM-30 © DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. 

 

Additional metadata is as follows:




Attribute
Value


Horizontal Reference System
WGS84 (EPSG 4326)


Vertical datum
EGM08 (EPSG 3855)


Latitudes covered
S60 and above


AREA OR POINT
Point


Data filename (example)
n45e002.tif


Units of Elevation
cm


Licence
CC BY-NC-SA 4.0
DOI: 10.15468/dl.q4b4cd
title: Occurrence Download

description: A dataset listing the 1552 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan"
 ]
}

 The dataset's 1552 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037459-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyr2cw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus muelleri (Peters, 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037463-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14523355
title: FathomDEM v1-0 Americas

description: FathomDEM Digital Elevation model for locations west of 30W (Americas and part of Oceania). 

FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid visiontransformer model

FathomDEM data for locations east of 30W is available in the dataset FathomDEM v1-0 Eurasia and Africa
description: The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography. In addition to improving on other global DEMs, FathomDEM also has reduced error compared to coastal-focussed DEMs such as the recent DeltaDTM. This demonstrates its impressive capacity to perform for specific landscapes, while being trained globally to model a wide range of terrain types. 

FathomDEM has been tested on the downstream task of flood modeling, showing increased accuracy compared to those run with the previous best global DEM, FABDEM, approaching the performance of LiDAR based flood modeling. This improvement is attributed to FathomDEM’s smaller error and substantial reduction in artifacts. This shows the suitability of FathomDEM for applied tasks and strengthens our evaluation compared to one based on vertical error alone.
description: The dataset consists of 1x1 degree tiles provided in the format of GeoTiff files. Filenames refer to coordinates in WGS84 of the southwest corner of the tile. 

Data is packaged into 30x30 degree zip archives with southwest and northest corners specified in the filename. 

FathomDEM was produced using Copernicus WorldDEM-30 © DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. 

Additional metadata is as follows:




Attribute
Value


Horizontal Reference System
WGS84 (EPSG 4326)


Vertical datum
EGM08 (EPSG 3855)


Latitudes covered
S60 and above


AREA OR POINT
Point


Data filename (example)
n45e002.tif


Units of Elevation
cm


Licence
CC BY-NC-SA 4.0
DOI: 10.5281/zenodo.14523356
title: FathomDEM v1-0 Americas

description: FathomDEM Digital Elevation model for locations west of 30W (Americas and part of Oceania). 

FathomDEM is a global 30m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography.

This dataset is documented in the peer reviewed article FathomDEM: an improved global terrain map using a hybrid visiontransformer model

FathomDEM data for locations east of 30W is available in the dataset FathomDEM v1-0 Eurasia and Africa
description: The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM produced using a novel application of a hybrid vision transformer model. This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography. In addition to improving on other global DEMs, FathomDEM also has reduced error compared to coastal-focussed DEMs such as the recent DeltaDTM. This demonstrates its impressive capacity to perform for specific landscapes, while being trained globally to model a wide range of terrain types. 

FathomDEM has been tested on the downstream task of flood modeling, showing increased accuracy compared to those run with the previous best global DEM, FABDEM, approaching the performance of LiDAR based flood modeling. This improvement is attributed to FathomDEM’s smaller error and substantial reduction in artifacts. This shows the suitability of FathomDEM for applied tasks and strengthens our evaluation compared to one based on vertical error alone.
description: The dataset consists of 1x1 degree tiles provided in the format of GeoTiff files. Filenames refer to coordinates in WGS84 of the southwest corner of the tile. 

Data is packaged into 30x30 degree zip archives with southwest and northest corners specified in the filename. 

FathomDEM was produced using Copernicus WorldDEM-30 © DLR e.V. 2010–2014 and © Airbus Defence and Space GmbH 2014–2018 provided under COPERNICUS by the European Union and ESA; all rights reserved. 

Additional metadata is as follows:




Attribute
Value


Horizontal Reference System
WGS84 (EPSG 4326)


Vertical datum
EGM08 (EPSG 3855)


Latitudes covered
S60 and above


AREA OR POINT
Point


Data filename (example)
n45e002.tif


Units of Elevation
cm


Licence
CC BY-NC-SA 4.0
DOI: 10.15468/dl.dqsq4s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus muelleri (Peters, 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037464-250525065834625/datasets/export for details.
DOI: 10.57760/sciencedb.26312
title: 《Analysis and Comparison of Robust Optimization Strategies of Multiple Competitive Retailers Under Information Asymmetry》Appendix
title: 《信息非对称下多个竞争零售商的鲁棒优化策略的分析与比较》附录

description: Appendix to the Proofs
description: Appendix to the Proofs
DOI: 10.15468/dl.naqd29
title: Occurrence Download

description: A dataset containing 3418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ictiobus cyprinellus (Valenciennes, 1844)"
 ]
}

 The dataset includes 3418 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037465-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6chsuz
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Cojoba sophorocarpa (Benth.) Britton & Rose"
 ]
}

 The dataset includes 162 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037466-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb7wyb
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenopus muelleri (Peters, 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037467-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.