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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON (((24.483250584768253 59.56470241700016, 24.483250587560693 59.56474724496482, 24.483250526356304 59.56479217945781, 24.483250529135216 59.564837007458145, 24.48329542074031 59.564881910815465, 24.48334037357614 59.564881879625126, 24.48338526538649 59.56492678295869, 24.48343007333267 59.5649267805638, 24.48347502626864 59.564926749315525, 24.483519918358972 59.56497165260524, 24.483609615451673 59.564971725357246, 24.483654568500516 59.56497169403213, 24.483699437193984 59.56492675697113, 24.48378913426393 59.56492682957495, 24.483834087300977 59.56492679817563, 24.483879036715642 59.56488193873936, 24.483923760046487 59.56483703046404, 24.483923901312767 59.56479217364782, 24.48392381660725 59.564747268008894, 24.483923731895207 59.56470236238786, 24.483878924120503 59.56470236498335, 24.483834031764093 59.56465746195422, 24.483789224076713 59.564657464510816, 24.483744267937084 59.56461266796862, 24.483699379349538 59.56461259281051, 24.48360961921146 59.56461262662407, 24.483564811649206 59.56461262908526, 24.483519859123792 59.56461266036221, 24.483430163075713 59.56461258751456, 24.483385210588235 59.56461261873487, 24.48334026104331 59.56465747786268, 24.483295453494808 59.56465748021221, 24.483250584768253 59.56470241700016)))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067700-210914110416597/datasets/export for details.
DOI: 10.15468/dl.bfjqtv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.21167 -1.47766,-77.48657 -1.47766,-77.48657 -0.98877,-78.21167 -0.98877,-78.21167 -1.47766))",
 "TaxonKey is Cuniculus taczanowskii (Stolzmann, 1865)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009036-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pejmuw
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nimbochromis polystigma (Regan, 1922)"
 ]
}

 The dataset includes 200 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058377-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5eagal
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heimia salicifolia (Kunth) Link",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1051 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009265-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uw29at
title: Occurrence Download

description: A dataset containing 41347 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.6215 35.82758, -106.3994 35.82758, -106.3994 36.00847, -106.6215 36.00847, -106.6215 35.82758))"
 ]
}

 The dataset includes 41347 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0414432-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thb9mk
title: Occurrence Download

description: A dataset containing 36626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Pakistan"
 ]
}

 The dataset includes 36626 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070359-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yug4s
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chrysolina quadrigemina (Suffrian, 1851)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 415 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009265-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54yf2r
title: Occurrence Download

description: A dataset containing 313438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron L."
 ]
}

 The dataset includes 313438 records from 668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017658-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w7bxx
title: Occurrence Download

description: A dataset containing 15198052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Country is Australia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 15198052 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023225-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28387676
title: Observation Patterns: Data and Charts from Eye-Tracking Study

description: his data set explores the visual attention patterns of participants when observing heritage and modern facades, focusing on the influence of educational background. The study includes eye movement data collected from participants and presents it in a comprehensive manner through 18 tables and 16 charts.
DOI: 10.6084/m9.figshare.28387676.v1
title: Observation Patterns: Data and Charts from Eye-Tracking Study

description: his data set explores the visual attention patterns of participants when observing heritage and modern facades, focusing on the influence of educational background. The study includes eye movement data collected from participants and presents it in a comprehensive manner through 18 tables and 16 charts.
DOI: 10.6084/m9.figshare.28387772.v1
title: Supplementary Material for: Parental perceptions of preschool children’s weight status in China: A cross-sectional study

description: Objectives: Currently, overweight/obesity rates among children are increasing. Moreover, parents generally misunderstand their children’s weight status. The correct perception of overweight/obesity in early childhood is very important for children’s growth and development. The purpose of this study was to investigate parental perceptions of children’s weight status.
Methods: We analyzed data from a questionnaire study conducted among 1971 preschool children in local kindergartens from December 1, 2021, to January 31, 2022, and classified the participants as having non-overweight and overweight/obesity according to the International Obesity Task Force (IOTF) criteria. Parents were asked whether they perceived their children to have non-overweight or overweight/obesity. We analyzed the related factors that parents underestimated or overestimated their children's weight status.
Results: The rate of overweight/obesity in preschool children was 17.9%. Parental perceptions of children’s weight status were inconsistent with children’s real weight (kappa=0.351,p&lt;0.001). The correctness of mother’s perceptions of chilren’s weight was higher than that of father’s. Among children who were affected by overweight/obesity, 68.5% of parents underestimated their children’s weights. Mothers with overweight/obesity had a 1.56 times greater risk of underestimating the children’s weight than mothers who were affected by non-overweight (P=0.010, OR: 1.56, 95%CI: 1.11-2.18). Children’s sex and families with siblings were independent risk factors for parents to overestimate children's weight.
Conclusion: Parents were highly likely to misinterpret the weight status of their children who were affected by overweight/obesity. Mothers with overweight/obesity were more likely to underestimate their children’s weight.
DOI: 10.15468/dl.r5e32c
title: Occurrence Download

description: A dataset containing 18483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5.19_1",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "Year 1974-2024"
 ]
}

 The dataset includes 18483 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023265-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25075553
title: Who Restarts Violent Conflict? Post-Conflict Government Policy and Two Types of Conflict Recurrence

description: Some internal armed conflicts recur between the same organizations, while, in others, the participating rebel groups vary with each recurrence, (i.e. they are ‘recast’). The two types of conflict recurrence (‘repeated conflicts’ and ‘recast conflicts’) should follow distinct logic because the participating rebel organizations qualitatively differ. I propose and test a game theoretic model explaining the two paths, where the government should contain former and potential rebels at the same time to prevent another war. The key feature I identify as fundamental in post-conflict settings is that former rebels are stronger but susceptible to private rewards while potential ones are weaker but difficult to buy off. Consistent with the model, my empirical analysis shows that the number of rebel factions, conflict stake, and the difference in capability between the former rebels and potential ones have differentiating effects on two distinct types of conflict recurrence.
DOI: 10.6084/m9.figshare.25075553.v1
title: Who Restarts Violent Conflict? Post-Conflict Government Policy and Two Types of Conflict Recurrence

description: Some internal armed conflicts recur between the same organizations, while, in others, the participating rebel groups vary with each recurrence, (i.e. they are ‘recast’). The two types of conflict recurrence (‘repeated conflicts’ and ‘recast conflicts’) should follow distinct logic because the participating rebel organizations qualitatively differ. I propose and test a game theoretic model explaining the two paths, where the government should contain former and potential rebels at the same time to prevent another war. The key feature I identify as fundamental in post-conflict settings is that former rebels are stronger but susceptible to private rewards while potential ones are weaker but difficult to buy off. Consistent with the model, my empirical analysis shows that the number of rebel factions, conflict stake, and the difference in capability between the former rebels and potential ones have differentiating effects on two distinct types of conflict recurrence.
DOI: 10.6084/m9.figshare.25485709
title: Relative Power and Costly Signals of Civilian Loyalty: Protest Behavior Against Armed Actors in the Colombian Civil War, 1990–2004

description: The paper examines one of many actions that civilians employ to resists peacefully armed actors during civil wars: protests. I argue that the costs for mobilizing against armed actors depend on the level of control that armed actors exert in the territory. By examining the civil war in Colombia between 1990 and 2004, I find that civilians protest against the weaker actor to reveal their loyalty to the dominant actor and to prevent the strong side from conducting future violent actions against the population. Protesting works as a costly signal of loyalty. I reveal that non-combatants protest against the stronger actor when both civilians and combatants share the same political ideology. In that circumstance, punishment by the strong combatants is improbable as protesting against them is likely to be interpreted as a renegotiation of the contract or a reminder of its terms. Finally, I show that civilians in contested zones declare themselves neutral and protest against both sides. Non-combatants take advantage of the power contestation to improve their current situation. Any punishment by combatants in contested zones would lead to defection, and citizens protest against both actors knowing that armed actors cannot afford to punish non-combatants for their hostile attitude.
DOI: 10.6084/m9.figshare.25485709.v1
title: Relative Power and Costly Signals of Civilian Loyalty: Protest Behavior Against Armed Actors in the Colombian Civil War, 1990–2004

description: The paper examines one of many actions that civilians employ to resists peacefully armed actors during civil wars: protests. I argue that the costs for mobilizing against armed actors depend on the level of control that armed actors exert in the territory. By examining the civil war in Colombia between 1990 and 2004, I find that civilians protest against the weaker actor to reveal their loyalty to the dominant actor and to prevent the strong side from conducting future violent actions against the population. Protesting works as a costly signal of loyalty. I reveal that non-combatants protest against the stronger actor when both civilians and combatants share the same political ideology. In that circumstance, punishment by the strong combatants is improbable as protesting against them is likely to be interpreted as a renegotiation of the contract or a reminder of its terms. Finally, I show that civilians in contested zones declare themselves neutral and protest against both sides. Non-combatants take advantage of the power contestation to improve their current situation. Any punishment by combatants in contested zones would lead to defection, and citizens protest against both actors knowing that armed actors cannot afford to punish non-combatants for their hostile attitude.
DOI: 10.5281/zenodo.14840035
title: unimpeded: nlcdm des_y1.joint+sn.pantheon

description: cosmological model:nlcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14840036
title: unimpeded: nlcdm des_y1.joint+sn.pantheon

description: cosmological model:nlcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14739243
title: Spring snow depth over pan-Arctic sea ice derived from AMSR2 using machine learning methods (2013-2023)

description: Overview



This dataset provides daily estimates of snow depth over pan-Arctic sea ice for the spring seasons from 2013 to 2023, using Advanced Microwave Scanning Radiometer 2 (AMSR2) data. A novel machine learning based framework has been developed for AMSR2 snow depth retrieval that combines the machine learning models of K-Nearest Neighbors, Extremely Randomized Trees (Extra Trees), and TabNet using a newly defined data fusion method.

 

Filename: YYYY-MM-dd [Year-Month-Day]

Parameter(s):  Snow detph (cm) /  Snow detph uncertainty (cm)

AMSR2_Merged: Merged snow depth estimation for KNN, Extra Trees and TabNet.

AMSR2_Merged_Uncertainty: Uncertainty in the merged snow depth estimate, calculated as the weighted standard deviation.

AMSR2_KNN: Snow depth estimation using KNN.

AMSR2_ExtraTrees: Snow depth estimation using Extra Trees.

AMSR2_TabNet: Snow depth estimation using TabNet.

Platform(s):  GCOM-W satellite

Sensor(s): Advanced Microwave Scanning Radiometer 2 (AMSR2)

Data Format(s): NetCDF

Temporal Coverage: 1 March 2013 to 30 April 2023 (March and April only)

Temporal Resolution: 1 day

Spatial Resolution: 25 km × 25 km



Spatial Reference System(s): NSIDC Sea Ice Polar Stereographic North (EPSG:3411)


Spatial Coverage:  N:90 S:0 E:180 W:-180
DOI: 10.5281/zenodo.14739244
title: Spring snow depth over pan-Arctic sea ice derived from AMSR2 using machine learning methods (2013-2023)

description: Overview



This dataset provides daily estimates of snow depth over pan-Arctic sea ice for the spring seasons from 2013 to 2023, using Advanced Microwave Scanning Radiometer 2 (AMSR2) data. A novel machine learning based framework has been developed for AMSR2 snow depth retrieval that combines the machine learning models of K-Nearest Neighbors, Extremely Randomized Trees (Extra Trees), and TabNet using a newly defined data fusion method.

 

Filename: YYYY-MM-dd [Year-Month-Day]

Parameter(s):  Snow detph (cm) /  Snow detph uncertainty (cm)

AMSR2_Merged: Merged snow depth estimation for KNN, Extra Trees and TabNet.

AMSR2_Merged_Uncertainty: Weighted standard deviation introduced due to model differences.

AMSR2_KNN: Snow depth estimation using KNN.

AMSR2_ExtraTrees: Snow depth estimation using Extra Trees.

AMSR2_TabNet: Snow depth estimation using TabNet.

Platform(s):  GCOM-W satellite

Sensor(s): Advanced Microwave Scanning Radiometer 2 (AMSR2)

Data Format(s): NetCDF

Temporal Coverage: 1 March 2013 to 30 April 2023 (March and April only)

Temporal Resolution: 1 day

Spatial Resolution: 25 km × 25 km



Spatial Reference System(s): NSIDC Sea Ice Polar Stereographic North (EPSG:3411)


Spatial Coverage:  N:90 S:0 E:180 W:-180
DOI: 10.5281/zenodo.14845778
title: Spring snow depth over pan-Arctic sea ice derived from AMSR2 using machine learning methods (2013-2023)

description: Overview



This dataset provides daily estimates of snow depth over pan-Arctic sea ice for the spring seasons from 2013 to 2023, using Advanced Microwave Scanning Radiometer 2 (AMSR2) data. A novel machine learning based framework has been developed for AMSR2 snow depth retrieval that combines the machine learning models of K-Nearest Neighbors, Extremely Randomized Trees (Extra Trees), and TabNet using a newly defined data fusion method.

 

Filename: YYYY-MM-dd [Year-Month-Day]

Parameter(s):  Snow detph (cm) /  Snow detph uncertainty (cm)

AMSR2_Merged: Merged snow depth estimation for KNN, Extra Trees and TabNet.

AMSR2_Merged_Uncertainty: Uncertainty in the merged snow depth estimate, calculated as the weighted standard deviation.

AMSR2_KNN: Snow depth estimation using KNN.

AMSR2_ExtraTrees: Snow depth estimation using Extra Trees.

AMSR2_TabNet: Snow depth estimation using TabNet.

Platform(s):  GCOM-W satellite

Sensor(s): Advanced Microwave Scanning Radiometer 2 (AMSR2)

Data Format(s): NetCDF

Temporal Coverage: 1 March 2013 to 30 April 2023 (March and April only)

Temporal Resolution: 1 day

Spatial Resolution: 25 km × 25 km



Spatial Reference System(s): NSIDC Sea Ice Polar Stereographic North (EPSG:3411)


Spatial Coverage:  N:90 S:0 E:180 W:-180
DOI: 10.5281/zenodo.14839895
title: unimpeded: lcdm des_y1.joint+sn.pantheon

description: cosmological model:lcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14839896
title: unimpeded: lcdm des_y1.joint+sn.pantheon

description: cosmological model:lcdm, dataset:des_y1.joint+sn.pantheon
DOI: 10.5281/zenodo.14848741
title: RBS measurements on WO3.
DOI: 10.5281/zenodo.14848742
title: RBS measurements on WO3.
DOI: 10.5281/zenodo.14848787
title: New

description: New
DOI: 10.5281/zenodo.14848788
title: New

description: New
DOI: 10.34740/kaggle/dsv/10720248
title: cypto_data
DOI: 10.5281/zenodo.14839847
title: unimpeded: mlcdm des_y1.joint+planck_2018_CamSpec

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_CamSpec
DOI: 10.5281/zenodo.14839848
title: unimpeded: mlcdm des_y1.joint+planck_2018_CamSpec

description: cosmological model:mlcdm, dataset:des_y1.joint+planck_2018_CamSpec
DOI: 10.5281/zenodo.14839694
title: unimpeded: nrunlcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:nrunlcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.5281/zenodo.14839695
title: unimpeded: nrunlcdm bao.sdss_dr16+des_y1.joint

description: cosmological model:nrunlcdm, dataset:bao.sdss_dr16+des_y1.joint
DOI: 10.5281/zenodo.14839783
title: unimpeded: mlcdm bicep_keck_2018+des_y1.joint

description: cosmological model:mlcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.5281/zenodo.14839784
title: unimpeded: mlcdm bicep_keck_2018+des_y1.joint

description: cosmological model:mlcdm, dataset:bicep_keck_2018+des_y1.joint
DOI: 10.15468/dl.np9pyh
title: Occurrence Download

description: A dataset containing 1737110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 }
 ]
}

 The dataset includes 1737110 records from 1550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023166-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bvumv
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aglaia amplexicaulis A.C.Sm."
 ]
}

 The dataset includes 19 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029703-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfun2g
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario Nacional Colombiano (COL)",
 "TaxonKey is Caryocar glabrum (Aubl.) Pers."
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000246-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bklfkx
title: Occurrence Download

description: A dataset containing 1975 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halimium ocymoides (Lam.) Willk."
 ]
}

 The dataset includes 1975 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004643-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvajp3
title: Occurrence Download

description: A dataset containing 80359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Monitoreos trianuales de fauna y flora en el Valle del Cerrejón, La Guajira"
 ]
}

 The dataset includes 80359 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043920-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pdq9d
title: Occurrence Download

description: A dataset containing 2613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.17277 13.75209,-60.77597 13.35289,-60.656 13.89546,-60.89593 14.27139,-61.2512 14.2222,-61.17277 13.75209))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2613 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000245-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.