cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22739359.v1
title: A mixed-methods analysis of similarities and differences in animal shelter staff, dog behavior professionals, and the public in determining kenneled dog welfare

description: The ability of animal shelter employees to identify poor welfare states in kenneled dogs is crucial for the mitigation of suffering. Animal shelter employees (n = 28), animal behavior professional (n = 49), and the general public (n = 41) watched 10 videos of kenneled dogs then rated the welfare of the dogs, stated the rationale for their score, indicated how they would improve the welfare, and rated the feasibility of improvements. Professionals gave slightly lower (poorer) welfare scores compared to the public (z = -1.998, p = 0.046). Shelter employees (z = -5.976, p &lt; 0.001) and professionals (z = 9.047, p &lt; 0.001) used body language and behavior to explain their welfare scores more than the public. All three populations mentioned the addition of enrichment to improve the welfare, however, shelter employees (z = -5.748, p &lt; 0.001) and professionals (z = 6.046, p &lt; 0.001) mentioned it significantly more. There were no significant differences in the perceived feasibility of changes. Future research should explore possible reasons for the lack of welfare improvements within animal shelters.
DOI: 10.15468/dl.be9abq
title: Occurrence Download

description: A dataset containing 1115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-159.05183 -11.45584,-31.94817 -11.45584,-31.94817 39.45584,-159.05183 39.45584,-159.05183 -11.45584))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anadara similis (C.B.Adams, 1852)"
 ]
}

 The dataset includes 1115 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032957-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10797887
title: Effects of different grass distribution patterns and coverage combinations on  overland flow resistance mechanisms

description: To clarify the relationship between grass cover and water flow resistance, laboratory-simulated  rainfall experiments were conducted. Five rainfall intensities and three degrees of slope were  applied to six degrees of grass cover and six distribution patterns to elucidate the response of overland resistance to the experimental design factors and hydrodynamic parameters and to  establish a predictive model. The results indicated that as grass coverage increases, the resistance  coefficient also increases; however, with increases in the rainfall intensity and slope, the resistance  coefficient decreases, with no apparent critical slope or rainfall intensity. Overland resistance was  higher for the horizontal vegetation pattern than the vertical pattern. The flow Reynolds and Froude numbers were negatively correlated with the resistance coefficient. The water flow path index was  useful for characterizing overland resistance, reflecting the influence of different grass cover types,  and was positively correlated with the resistance coefficient. Based on a dimensional analysis and  the π theorem, a model of overland flow resistance was developed. This model effectively predicted overland resistance and quantified the contribution of each factor to the  resistance coefficient. The contributions of the slope, rainfall Reynolds number, flow Reynolds  number, Froude number, and water flow path index to overland resistance were 12.78%, 6.02%, 34 9.77%, 15.04%, and 56.39%, respectively, with grass cover playing a key role. Simulated rainfall  experiments with different degrees of grass coverage and distribution patterns revealed the  dynamic mechanisms of overland hydraulic erosion.
DOI: 10.5281/zenodo.10797888
title: Effects of different grass distribution patterns and coverage combinations on  overland flow resistance mechanisms

description: To clarify the relationship between grass cover and water flow resistance, laboratory-simulated  rainfall experiments were conducted. Five rainfall intensities and three degrees of slope were  applied to six degrees of grass cover and six distribution patterns to elucidate the response of overland resistance to the experimental design factors and hydrodynamic parameters and to  establish a predictive model. The results indicated that as grass coverage increases, the resistance  coefficient also increases; however, with increases in the rainfall intensity and slope, the resistance  coefficient decreases, with no apparent critical slope or rainfall intensity. Overland resistance was  higher for the horizontal vegetation pattern than the vertical pattern. The flow Reynolds and Froude numbers were negatively correlated with the resistance coefficient. The water flow path index was  useful for characterizing overland resistance, reflecting the influence of different grass cover types,  and was positively correlated with the resistance coefficient. Based on a dimensional analysis and  the π theorem, a model of overland flow resistance was developed. This model effectively predicted overland resistance and quantified the contribution of each factor to the  resistance coefficient. The contributions of the slope, rainfall Reynolds number, flow Reynolds  number, Froude number, and water flow path index to overland resistance were 12.78%, 6.02%, 34 9.77%, 15.04%, and 56.39%, respectively, with grass cover playing a key role. Simulated rainfall  experiments with different degrees of grass coverage and distribution patterns revealed the  dynamic mechanisms of overland hydraulic erosion.
DOI: 10.5281/zenodo.13785470
title: Effects of different grass distribution patterns and coverage combinations on  overland flow resistance mechanisms

description: To clarify the relationship between grass cover and water flow resistance, laboratory-simulated  rainfall experiments were conducted. Five rainfall intensities and three degrees of slope were  applied to six degrees of grass cover and six distribution patterns to elucidate the response of overland resistance to the experimental design factors and hydrodynamic parameters and to  establish a predictive model. The results indicated that as grass coverage increases, the resistance  coefficient also increases; however, with increases in the rainfall intensity and slope, the resistance  coefficient decreases, with no apparent critical slope or rainfall intensity. Overland resistance was  higher for the horizontal vegetation pattern than the vertical pattern. The flow Reynolds and Froude numbers were negatively correlated with the resistance coefficient. The water flow path index was  useful for characterizing overland resistance, reflecting the influence of different grass cover types,  and was positively correlated with the resistance coefficient. Based on a dimensional analysis and  the π theorem, a model of overland flow resistance was developed. This model effectively predicted overland resistance and quantified the contribution of each factor to the  resistance coefficient. The contributions of the slope, rainfall Reynolds number, flow Reynolds  number, Froude number, and water flow path index to overland resistance were 12.78%, 6.02%, 34 9.77%, 15.04%, and 56.39%, respectively, with grass cover playing a key role. Simulated rainfall  experiments with different degrees of grass coverage and distribution patterns revealed the  dynamic mechanisms of overland hydraulic erosion.
DOI: 10.5281/zenodo.10512662
title: Priority effects can be explained by competitive  traits

description: Alone - Individuals grown without a neighbour.

Simultaneous arrival - Individuals grown with a neighbour, planted simultaneously.

Second arrival - Individuals grown with a neighbour. The neighbour was planted three weeks before the second arrival.

Traits - Trait values that were measurent and calculated from the individuals grown alone.
DOI: 10.5281/zenodo.10497584
title: Priority effects can be explained by competitive  traits

description: Code (updated after review)

Traits - Trait values that were measurent and calculated from the individuals grown alone (updated after review).

See version 2 for other files
DOI: 10.5281/zenodo.10497585
title: Priority effects can be explained by competitive  traits

description: Alone - Individuals grown without a neighbour.

Simultaneous arrival - Individuals grown with a neighbour, planted simultaneously.

Second arrival - Individuals grown with a neighbour. The neighbour was planted three weeks before the second arrival.

Traits - Trait values that were measurent and calculated from the individuals grown alone.
DOI: 10.5281/zenodo.13849675
title: Priority effects can be explained by competitive  traits

description: Code (updated after review)

Traits - Trait values that were measurent and calculated from the individuals grown alone (updated after review).

See version 2 for other files
DOI: 10.5281/zenodo.13848771
title: Dataset for "Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022"

description: This deposit contains three .xlsx files.

The file „01_fatalities_1919-2022“ contains annual numbers of fatalities (males, females and sum) for individual categories of external death causes attributed to weather and natural extremes, excerpted from demographic yearbooks for the Czech Republic for the period 1919–2022. 

The file „02_age_categories_1931-2022“ contains eight sheets with annual numbers of weather-related fatalities in the Czech Republic in the period 1931–2022 for eight age categories and for males and females separately. Sheets represent individual categories of death causes – Cold, Heat, Lightning, Natural hazards, Fall on ice or snow, Air pressure. Heat and Natural hazards are divided into two sheets – one with summarized numbers and one with numbers for individual sub-categories.

The file „03_clima_factors“ contains mean temperature of January–February (Brázdil et al., 2012, extended) and mean annual number of days with a thunderstorm in the Czech Republic for the period 1919–2022 and mean temperature of winter season (DJF) in the Czech Republic for the period 1986/1987–2021/2022 (Brázdil et al., 2012, extended).
DOI: 10.5281/zenodo.13848774
title: Dataset for "Demographic yearbooks as a source of weather-related fatalities: the Czech Republic, 1919–2022"

description: This deposit contains three .xlsx files.

The file „01_fatalities_1919-2022“ contains annual numbers of fatalities (males, females and sum) for individual categories of external death causes attributed to weather and natural extremes, excerpted from demographic yearbooks for the Czech Republic for the period 1919–2022. 

The file „02_age_categories_1931-2022“ contains eight sheets with annual numbers of weather-related fatalities in the Czech Republic in the period 1931–2022 for eight age categories and for males and females separately. Sheets represent individual categories of death causes – Cold, Heat, Lightning, Natural hazards, Fall on ice or snow, Air pressure. Heat and Natural hazards are divided into two sheets – one with summarized numbers and one with numbers for individual sub-categories.

The file „03_clima_factors“ contains mean temperature of January–February (Brázdil et al., 2012, extended) and mean annual number of days with a thunderstorm in the Czech Republic for the period 1919–2022 and mean temperature of winter season (DJF) in the Czech Republic for the period 1986/1987–2021/2022 (Brázdil et al., 2012, extended).
DOI: 10.5281/zenodo.13849311
title: Dataset for "Effects of weather and climate on fluctuations of grain prices in southwestern Bohemia, 1725–1824 CE"

description: This deposit contains three .xlsx files.

The file „01_prices_Sušice_1725-1824“ contains two sheets with mean annual prices (in Lower Austrian měřice) of four cereals (wheat, rye, barley and oats) in Sušice for the period 1725–1824. On the first sheet are compiled series, on the second detrended series (using high-pass filter).

The file „02_monthly_prices_1725-1738“ contains four sheets with mean monthly prices (in Lower Austrian měřice) of four cereals in Sušice from July 1725 to July 1738 (July 1737 is missing). Sheets represent individual cereals – wheat, rye, barley and oats.

The file „03_climate_char_1725-1824“ contains two sheets with mean seasonal (DJF, MAM and JJA) temperature, precipitation and scPDSI expressed in deviations relative to the 1961–1990 reference period. On the first sheet are original series, on the second detrended series (using high-pass filter). The original series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010), reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015) and both of them were used for creation of scPDSI series (Brázdil et al., 2016).
DOI: 10.5281/zenodo.13849312
title: Dataset for "Effects of weather and climate on fluctuations of grain prices in southwestern Bohemia, 1725–1824 CE"

description: This deposit contains three .xlsx files.

The file „01_prices_Sušice_1725-1824“ contains two sheets with mean annual prices (in Lower Austrian měřice) of four cereals (wheat, rye, barley and oats) in Sušice for the period 1725–1824. On the first sheet are compiled series, on the second detrended series (using high-pass filter).

The file „02_monthly_prices_1725-1738“ contains four sheets with mean monthly prices (in Lower Austrian měřice) of four cereals in Sušice from July 1725 to July 1738 (July 1737 is missing). Sheets represent individual cereals – wheat, rye, barley and oats.

The file „03_climate_char_1725-1824“ contains two sheets with mean seasonal (DJF, MAM and JJA) temperature, precipitation and scPDSI expressed in deviations relative to the 1961–1990 reference period. On the first sheet are original series, on the second detrended series (using high-pass filter). The original series are reconstructed temperatures for central Europe (Dobrovolný et al., 2010), reconstructed precipitation for the Czech Lands (Dobrovolný et al., 2015) and both of them were used for creation of scPDSI series (Brázdil et al., 2016).
DOI: 10.5281/zenodo.13849846
title: Variable SNR Upcalls

description: 12,000 30-second clips containing a single upcalls at specified SNR values. Original audio files come from: Simard, Y., Kirsebom, O., Frazao, F., Roy, N., Matwin, S., Giard, S. (2020). Acoustic recordings of North Atlantic right whale upcalls in the Gulf of St. Lawrence. Federated Research Data Repository. https://doi.org/10.20383/101.0241
DOI: 10.5281/zenodo.13849847
title: Variable SNR Upcalls

description: 12,000 30-second clips containing a single upcalls at specified SNR values. Original audio files come from: Simard, Y., Kirsebom, O., Frazao, F., Roy, N., Matwin, S., Giard, S. (2020). Acoustic recordings of North Atlantic right whale upcalls in the Gulf of St. Lawrence. Federated Research Data Repository. https://doi.org/10.20383/101.0241
DOI: 10.6084/m9.figshare.27118887
title: Raw data (latest)

description: In this study, the effects of tai chi exercise on blood pressure, blood lipids and body morphology indexes in patients with essential hypertension were analysed mainly by META analysis with subgroup analyses of intervention duration. Here are the raw data of all the included studies and the raw data extracted for the outcome indicators.
DOI: 10.6084/m9.figshare.27118887.v1
title: Raw data (latest)

description: In this study, the effects of tai chi exercise on blood pressure, blood lipids and body morphology indexes in patients with essential hypertension were analysed mainly by META analysis with subgroup analyses of intervention duration. Here are the raw data of all the included studies and the raw data extracted for the outcome indicators.
DOI: 10.6084/m9.figshare.26148589
title: EduCodeVR Teaching Data.xlsx

description: 虚拟现实 （VR） 技术通过模拟真实世界环境，提供创新的学习方法，彻底改变了科学、技术、工程、艺术和数学 （STEAM） 教育。本研究的重点是在 VR 中为 Arduino UNO 微控制器开发设计教育系统。学生在 VR 环境中参与 Arduino UNO 的图形编程和硬件集成，实现对农场和交通的智能控制。这种方法可帮助学生在实际生产环境中掌握 Arduino UNO 的实际应用，进一步培养他们的编程技能并培养创新思维。我们开展了为编程初学者量身定制的 Arduino 课程，通过学习成果测试和 VR 系统可用性评估来评估 EduCodeVR 的可用性及其对学生的影响。结果表明，使用 STEAM 教育方法的 EduCodeVR 有效地提高了用户的综合素养和计算思维，凸显了将 VR 编程课程整合到 STEAM 教育中的巨大潜力。通过这种创新的教学方法，学生不仅可以获得知识，还可以享受身临其境的学习乐趣。
DOI: 10.15468/dl.v5mqwt
title: Occurrence Download

description: A dataset containing 25376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora mangle L."
 ]
}

 The dataset includes 25376 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032959-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/3149
title: WorldFloodsv2
DOI: 10.15468/dl.296dqm
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Betula platyphylla Sukaczev"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032961-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsa5fe
title: Occurrence Download

description: A dataset containing 2650 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-107.03973 -7.43346,-50.54922 -7.43346,-50.54922 15.19396,-107.03973 15.19396,-107.03973 -7.43346))",
 "Geometry POLYGON((-78.89332 0.87657,-76.19584 0.87657,-76.19584 7.63578,-78.89332 7.63578,-78.89332 0.87657))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelliciera rhizophorae Triana & Planch."
 ]
}

 The dataset includes 2650 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032962-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jp9sb
title: CCDC 2344182: Experimental Crystal Structure Determination

description: Related Article: Mari Toyama, Yuto Onishi, Nobuyoshi Tanaka, Noriharu Nagao|2025|J.Mol.Struct.|1321|139964|doi:10.1016/j.molstruc.2024.139964
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jp9r9
title: CCDC 2344181: Experimental Crystal Structure Determination

description: Related Article: Mari Toyama, Yuto Onishi, Nobuyoshi Tanaka, Noriharu Nagao|2025|J.Mol.Struct.|1321|139964|doi:10.1016/j.molstruc.2024.139964
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.x6rqdk
title: Occurrence Download

description: A dataset containing 243329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Teiidae"
 ]
}

 The dataset includes 243329 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032960-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pt43jq
title: Occurrence Download

description: A dataset containing 1328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.65821 0.87743,-75.77573 0.87743,-75.77573 6.59268,-78.65821 6.59268,-78.65821 0.87743))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora ×harrisonii Leechm."
 ]
}

 The dataset includes 1328 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032964-240906103802322/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.26496160.v3
title: How Graph Neural Network Interatomic Potentials Extrapolate: Role of the message-passing algorithm

description: Supplementary data regarding the graph neural network interatomic potential paper
DOI: 10.5281/zenodo.13849377
title: ultrasound and photoacoustic data for salmon fish skin

description: ultrasound and photoacoustic data for salmon fish skin
DOI: 10.5281/zenodo.13849378
title: ultrasound and photoacoustic data for salmon fish skin

description: ultrasound and photoacoustic data for salmon fish skin
DOI: 10.15468/dl.fxvvmn
title: Occurrence Download

description: A dataset containing 923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Hydrophis Latreille, 1801"
 ]
}

 The dataset includes 923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032966-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt49ub
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bonnetina papalutlensis Mendoza, 2012"
 ]
}

 The dataset includes 42 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032967-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2f5u9
title: Occurrence Download

description: A dataset containing 12593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.35432 42.78317,0.35079 42.39184,1.02815 42.38868,1.01918 42.75964,0.35432 42.78317))",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 12593 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032968-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vgywg
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.90555 34.34526,34.53733 34.34526,34.53733 35.6072,31.90555 35.6072,31.90555 34.34526))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus nigra J.F.Arnold"
 ]
}

 The dataset includes 97 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032969-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5n8et
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.90555 34.34526,34.53733 34.34526,34.87629 35.88357,31.90555 35.6072,31.90555 34.34526))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus brutia Ten."
 ]
}

 The dataset includes 125 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032970-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.