cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15679832
title: SoildiverAgro WP6 survey data

description: A socio-psychological assessment grounded in the Theory of Planned Behavior was conducted to explore farmers’ willingness to adopt innovative soil management practices. This was accomplished through a comprehensive survey distributed across Estonia, Finland, Germany, Belgium, and two regions of Spain—Mediterranean and Atlantic. The data collection concluded in early November 2022. The survey was administered using the Webropol platform by the Natural Resources Institute Finland (Luke), with regional researchers assisting in farmer recruitment. In Germany, however, a national survey firm conducted the data collection to enable the use of an existing farmer contact database.

Altogether, the dataset includes responses from 1,250 farmers who gave their consent for the use of their answers. Regionally, participation ranged from 65 farmers in Atlantic Spain to 357 in Finland. The results showed varying degrees of intention to adopt practices that enhance soil quality and biodiversity. Among the practices receiving the most interest from respondents were incorporating crop residues, lengthening crop rotation periods, reducing ploughing frequency and tillage depth, and introducing catch crops into cultivation systems.

Beyond the general questions, the survey also included region-specific inquiries related to practices trialed in local case studies. For instance, Belgian farmers were asked about non-inversion tillage, Estonians about no-till methods, Finns about combining plant cover with shallow tillage, German respondents about underseeding, and Spanish participants about either the use of biostimulants or crop diversification, depending on their region. The existing use of these practices varied widely, with the highest adoption reported for crop diversification in Atlantic Spain (86%) and the lowest for no-till in Estonia (15%). When looking at future intentions—meaning farmers who responded with "yes" or "maybe"—the strongest interest emerged in Atlantic Spain and Finland, while Estonia showed the lowest level of intent, at just 34%.
DOI: 10.5281/zenodo.15679833
title: SoildiverAgro WP6 survey data

description: A socio-psychological assessment grounded in the Theory of Planned Behavior was conducted to explore farmers’ willingness to adopt innovative soil management practices. This was accomplished through a comprehensive survey distributed across Estonia, Finland, Germany, Belgium, and two regions of Spain—Mediterranean and Atlantic. The data collection concluded in early November 2022. The survey was administered using the Webropol platform by the Natural Resources Institute Finland (Luke), with regional researchers assisting in farmer recruitment. In Germany, however, a national survey firm conducted the data collection to enable the use of an existing farmer contact database.

Altogether, the dataset includes responses from 1,250 farmers who gave their consent for the use of their answers. Regionally, participation ranged from 65 farmers in Atlantic Spain to 357 in Finland. The results showed varying degrees of intention to adopt practices that enhance soil quality and biodiversity. Among the practices receiving the most interest from respondents were incorporating crop residues, lengthening crop rotation periods, reducing ploughing frequency and tillage depth, and introducing catch crops into cultivation systems.

Beyond the general questions, the survey also included region-specific inquiries related to practices trialed in local case studies. For instance, Belgian farmers were asked about non-inversion tillage, Estonians about no-till methods, Finns about combining plant cover with shallow tillage, German respondents about underseeding, and Spanish participants about either the use of biostimulants or crop diversification, depending on their region. The existing use of these practices varied widely, with the highest adoption reported for crop diversification in Atlantic Spain (86%) and the lowest for no-till in Estonia (15%). When looking at future intentions—meaning farmers who responded with "yes" or "maybe"—the strongest interest emerged in Atlantic Spain and Finland, while Estonia showed the lowest level of intent, at just 34%.
DOI: 10.15468/dl.9xndqp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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 ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050395-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15679966
title: Taxation records as data source for the historical climatology, Prácheň Region (Czech Republic), 1655–1827

description: This deposit contains two .xlsx files related to the study of taxation records for the Prácheň Region (south-eastern Bohemia, recently Czech Republic) during the 17th–19th centuries and their potential for historical climatology. In the study, administrative documentation connected with requests for tax relief, where summarising data on the governmental and regional levels were preserved for the studied region, is used to create database of damaging events to crops (hailstorms, water torrents), fields and meadows (water torrents), and buildings (fires caused by lightning). Occasionally, some other events damaging crops significantly, but not allowing the tax relief (freezing of crops, drought, wind), were also mentioned.

The file “01_taxation data” contains the basic database of damaging events extracted from archival sources. The structure is as follows: date of the damaging event, type of the event (hail, water, lightning, freezing, drought, wind), affected domain and municipalities, accepted tax relief, estimated damage, remark to the event, and archival source. Concerning the measure of the damage, tax relief is expressed as a number of taxation units called “osedlý” (representing the ideal peasant farm in Bohemia, from which it varied in different regions depending on fertility) in the period 1655–1748 and in gulden (money) afterwards. The estimated damage is expressed in “strych” (area unit) for fields, in wagons of hay for meadows, and in gulden in case of fires.

The file „ 02_climatic characteristics“ contains annual temperature and precipitation for the period 1655–1827, expressed in deviations relative to the 1961–1990 reference period. The series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010) and reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015).
DOI: 10.5281/zenodo.15679967
title: Taxation records as data source for the historical climatology, Prácheň Region (Czech Republic), 1655–1827

description: This deposit contains two .xlsx files related to the study of taxation records for the Prácheň Region (south-eastern Bohemia, recently Czech Republic) during the 17th–19th centuries and their potential for historical climatology. In the study, administrative documentation connected with requests for tax relief, where summarising data on the governmental and regional levels were preserved for the studied region, is used to create database of damaging events to crops (hailstorms, water torrents), fields and meadows (water torrents), and buildings (fires caused by lightning). Occasionally, some other events damaging crops significantly, but not allowing the tax relief (freezing of crops, drought, wind), were also mentioned.

The file “01_taxation data” contains the basic database of damaging events extracted from archival sources. The structure is as follows: date of the damaging event, type of the event (hail, water, lightning, freezing, drought, wind), affected domain and municipalities, accepted tax relief, estimated damage, remark to the event, and archival source. Concerning the measure of the damage, tax relief is expressed as a number of taxation units called “osedlý” (representing the ideal peasant farm in Bohemia, from which it varied in different regions depending on fertility) in the period 1655–1748 and in gulden (money) afterwards. The estimated damage is expressed in “strych” (area unit) for fields, in wagons of hay for meadows, and in gulden in case of fires.

The file „ 02_climatic characteristics“ contains annual temperature and precipitation for the period 1655–1827, expressed in deviations relative to the 1961–1990 reference period. The series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010) and reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015).
DOI: 10.15468/dl.j5jrj3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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 ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050396-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mjduom
title: Occurrence Download

description: A dataset containing 21077504 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paridae"
 ]
}

 The dataset includes 21077504 records from 1063 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029426-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd6i9s
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalopyrus flammiceps (Burton, 1836)"
 ]
}

 The dataset includes 342 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047794-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4abasw
title: Occurrence Download

description: A dataset containing 1391 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arisaema erubescens (Wall.) Schott"
 ]
}

 The dataset includes 1391 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050397-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfv2tz
title: Occurrence Download

description: A dataset containing 125162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula pendula Roth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Sweden"
 ]
}

 The dataset includes 125162 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050388-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnntuf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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/0050398-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14223342
title: BAMBI outputs of bedform morphologies from the Mekong River, accommpanying analysis presented in Hackney et al. (2025)

description: Morphometric data output from BAMBI (see Cisneros et al., 2020) of bedform morphologies in the Mekong river. This dataset accompanies the manuscript "Increased Hydraulic Roughness in Alluvial Rivers Created by Sand-Mining Sculpted Bed Features" published in the Journal of Geophysical Research - Earth Surface available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JF008189#. The dataset contains morphological data of natural sand dunes, and sand mining impacted sand dunes.
DOI: 10.5281/zenodo.14223343
title: BAMBI outputs of bedform morphologies from the Mekong River, accommpanying analysis presented in Hackney et al. (2025)

description: Morphometric data output from BAMBI (see Cisneros et al., 2020) of bedform morphologies in the Mekong river. This dataset accompanies the manuscript "Increased Hydraulic Roughness in Alluvial Rivers Created by Sand-Mining Sculpted Bed Features" published in the Journal of Geophysical Research - Earth Surface available at https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024JF008189#. The dataset contains morphological data of natural sand dunes, and sand mining impacted sand dunes.
DOI: 10.15468/dl.8jbmz7
title: Occurrence Download

description: A dataset containing 239790 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UF FLMNH Ichthyology"
 ]
}

 The dataset includes 239790 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050393-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.psych.00471
title: Psychophysical Parameters in Time and Numerosity Perception Induced by Chunked Stimuli
title: Psychophysical Parameters in Time and Numerosity Perception Induced by Chunked Stimuli

description: We separately measured the psychophysical parameters (points of subjective equality and Weber fractions) for time perception and numerosity perception with different chunked stimuli (collinearity, illusory contours, and biological motion) to investigate whether time and numerosity perceptions share a common representation. The data is stored in tabular form, and the EXP column indicates stimuli with different contrasts (H for high, L for low) or different number of points (13 or 41).We additionally incorporated results from a supplementary control experiment presented in the Supplementary Materials, where the biological motion stimuli were scrambled using a different procedure than in the main experiment.
description: We separately measured the psychophysical parameters (points of subjective equality and Weber fractions) for time perception and numerosity perception with different chunked stimuli (collinearity, illusory contours, and biological motion) to investigate whether time and numerosity perceptions share a common representation. The data is stored in tabular form, and the EXP column indicates stimuli with different contrasts (H for high, L for low) or different number of points (13 or 41).We additionally incorporated results from a supplementary control experiment presented in the Supplementary Materials, where the biological motion stimuli were scrambled using a different procedure than in the main experiment.
DOI: 10.15468/dl.xd2x9f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050399-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15679977
title: Supplementary Material for "In Vivo Shadows and In Vitro Light – The Early Embryological Journey amid Endometriosis"

description: This dataset includes supplementary material for the article “In Vivo Shadows and In Vitro Light – The Early Embryological Journey amid Endometriosis”. It contains a README and a summary of key mechanisms described in the manuscript, intended to support data transparency and reproducibility.
DOI: 10.5281/zenodo.15679978
title: Supplementary Material for "In Vivo Shadows and In Vitro Light – The Early Embryological Journey amid Endometriosis"

description: This dataset includes supplementary material for the article “In Vivo Shadows and In Vitro Light – The Early Embryological Journey amid Endometriosis”. It contains a README and a summary of key mechanisms described in the manuscript, intended to support data transparency and reproducibility.
DOI: 10.15468/dl.t5neac
title: Occurrence Download

description: A dataset containing 5683748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is California",
 {
 "or" : [
 "TaxonKey is Lepidoptera",
 "TaxonKey is Diptera",
 "TaxonKey is Coleoptera",
 "TaxonKey is Trochilidae",
 "TaxonKey is Apidae",
 "TaxonKey is Halictidae",
 "TaxonKey is Megachilidae",
 "TaxonKey is Andrenidae",
 "TaxonKey is Colletidae",
 "TaxonKey is Melittidae"
 ]
 }
 ]
}

 The dataset includes 5683748 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050390-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12192005
title: Contrastive Language Image Pretraining by openai
DOI: 10.15468/dl.j2uzq9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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/0050401-250525065834625/datasets/export for details.
DOI: 10.15468/dl.q7wwg9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum bellidiastrum Moeser",
 "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/0050402-250525065834625/datasets/export for details.
DOI: 10.15468/dl.g45nxx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geigeria vigintisquamea O.Hoffm.",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050403-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29143694
title: stClinic dissects clinically relevant niches by integrating spatial multi-slice multi-omics data in dynamic graphs

description: We proposed a novel computational method for integrating spatial multi-slice multi-omics data to dissect clinically-related tumor ecosystems.
DOI: 10.6084/m9.figshare.29143694.v1
title: stClinic dissects clinically relevant niches by integrating spatial multi-slice multi-omics data in dynamic graphs

description: We proposed a novel computational method for integrating spatial multi-slice multi-omics data to dissect clinically-related tumor ecosystems.
DOI: 10.15468/dl.yp8hmt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geigeria vigintisquamea O.Hoffm.",
 "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/0050404-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28210715
title: Parcel-level vector data for scaled land utilization analysis in Xinjiang based on remote sensing image

description: The scaled utilization of cultivated land has enhanced agricultural development and productivity. Quantifying its spatial distribution is essential for optimizing agricultural decision-making. Xinjiang, a vital grain production region in China, holds paramount study significance due to its distinct geographical location and fragile natural environment. However, most studies on cultivated land fragmentation rely on outdated raster datasets. In this study, we introduce a cultivated land dataset of Xinjiang in a vector form with higher boundary accuracy, and more suitable for cultivated land statistics. A novel parcel extraction method that integrates the Swin Transformer for multi-scale semantic information and DiffusionEdge for capturing fine boundary details is proposed, which enhancing the accuracy of land parcel extraction from 10-meter resolution Sentinel-2 imagery, obtained from the Copernicus Open Access Hub. Finally, we present a practical and up-to-date vector dataset of cultivated land. The Technical Validation analysis substantiates the reliability and applicability of the dataset. Through this study, we contribute to developing a replicable methodology for robust cultivated land extraction and parcel-wise cultivated land analysis.