cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/28764986
title: The Implications of Weeklong Fostering and Co-Housing on Shelter Dog Welfare

description: In these datasets and corresponding study, we investigated the impacts of weeklong fostering and co-housing on dogs’ urinary cortisol and activity. To answer these research questions, dogs’ urine was collected in the morning for cortisol: creatinine analysis and activity monitors were worn by the dogs for 17 days: five days in the animal shelter, seven days in a caregiver’s home, and five days in the shelter following foster care.
DOI: 10.7294/28764986.v1
title: The Implications of Weeklong Fostering and Co-Housing on Shelter Dog Welfare

description: In these datasets and corresponding study, we investigated the impacts of weeklong fostering and co-housing on dogs’ urinary cortisol and activity. To answer these research questions, dogs’ urine was collected in the morning for cortisol: creatinine analysis and activity monitors were worn by the dogs for 17 days: five days in the animal shelter, seven days in a caregiver’s home, and five days in the shelter following foster care.
DOI: 10.7294/28764986.v2
title: The Implications of Weeklong Fostering and Co-Housing on Shelter Dog Welfare

description: In these datasets and corresponding study, we investigated the impacts of weeklong fostering and co-housing on dogs’ urinary cortisol and activity. To answer these research questions, dogs’ urine was collected in the morning for cortisol: creatinine analysis and activity monitors were worn by the dogs for 17 days: five days in the animal shelter, seven days in a caregiver’s home, and five days in the shelter following foster care.
DOI: 10.15468/dl.tr2x4d
title: Occurrence Download

description: A dataset containing 933 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 {
 "and" : [
 "PublishingCountry is one of (Canada)",
 "StateProvince is one of (Québec, Québec (Prov.), Quebec (Prov.), Quebec)",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "VerbatimScientificName is one of (anthriscus sylvestris, phragmites australis, ambrosia artemisiifolia, phragmites australis australis, butomus umbellatus, hydrocharis morsus-ranae, galium mollugo, myriophyllum spicatum, potamogeton crispus, ambrosia artemisiifolia l.)",
 "TaxonKey is one of (Phragmites australis [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 933 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002453-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9r9fft
title: Occurrence Download

description: A dataset containing 4094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus townsendii"
 ]
}

 The dataset includes 4094 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002454-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18435129
title: Table 1. Morphometric data for Tometes camunani, new species. Range for paratypes includes holotype. N in Tometes camunani (Characiformes: Serrasalmidae), a new species of phytophagous fish from the Guiana Shield, rio Trombetas basin, Brazil

description: Table 1. Morphometric data for Tometes camunani, new species. Range for paratypes includes holotype. N = number of specimens; Min = Minimal; Max. = Maximal; SD = Standard Deviation.
HolotypeParatypesNon-type materialNMin.Max.MeanSDNMin.Max.MeanSDStandard length (mm)224.326126.89384244.4-1190.8382.0235.0-Percentages of standard lengthBody depth64.32656.665.862.62.21056.265.760.02.8Head length25.32622.125.923.91.21121.425.823.51.4Supraoccipital process32.02628.232.430.31.11126.236.530.32.7Predorsal length59.52656.761.858.61.11152.461.957.62.5Dorsal-fin base length31.22627.732.429.71.21127.431.129.21.2Interdorsal length10.92610.914.312.51.01111.213.712.30.6Adipose-fin base length7.0264.57.06.00.5114.96.25.70.5Caudal peduncle height11.72610.812.011.40.31110.511.911.20.5Anal-fin base length32.62631.234.432.70.81128.433.731.81.6Preanal length79.62675.080.577.91.51073.681.176.72.4Prepelvic length59.52654.159.557.11.51153.558.956.02.1Prepectoral length23.22621.424.022.70.81119.124.222.31.4Anal/pelvic distance22.32621.924.723.20.91020.223.222.01.0Pelvic/pectoral distance36.82632.837.234.91.11030.037.033.81.9Width of peduncle3.9263.66.44.80.7113.55.64.50.7Pectoral-fin length23.22620.423.822.01.01120.023.521.71.2Pelvic-fin length17.72612.217.716.01.41113.017.815.81.41st anal-fin lobe length29.11520.229.326.02.5919.527.724.12.92nd anal-fin lobe length14.1811.115.512.91.4312.114.112.91.1Dorsal-fin length27.11724.334.129.82.6725.134.929.03.3Percentages of head lengthSnout length23.32623.032.428.33.2924.631.527.52.8Interorbital width49.82645.555.649.82.7946.453.650.22.3Postorbital distance33.52630.739.534.42.31132.140.534.12.44th infraorbital width14.02610.716.212.61.31110.316.513.02.0Eye vertical diameter33.92632.140.536.02.4933.139.535.52.43rd infraorbital width9.12611.920.415.02.2911.819.415.92.5Cheek gap width9.3268.612.710.01.0118.211.49.81.0Mouth length13.7268.212.210.01.0117.410.58.91.0Mouth width31.52628.036.132.62.0927.236.332.43.0
description: Published as part of Andrade, Marcelo C., Giarrizzo, Tommaso & Jégu, Michel, 2013, Tometes camunani (Characiformes: Serrasalmidae), a new species of phytophagous fish from the Guiana Shield, rio Trombetas basin, Brazil, pp. 300 in Neotropical Ichthyology 11 (2) on page 300, DOI: 10.1590/S1679-62252013000200008, http://zenodo.org/record/12652461
DOI: 10.5281/zenodo.18435128
title: Table 1. Morphometric data for Tometes camunani, new species. Range for paratypes includes holotype. N in Tometes camunani (Characiformes: Serrasalmidae), a new species of phytophagous fish from the Guiana Shield, rio Trombetas basin, Brazil

description: Table 1. Morphometric data for Tometes camunani, new species. Range for paratypes includes holotype. N = number of specimens; Min = Minimal; Max. = Maximal; SD = Standard Deviation.
HolotypeParatypesNon-type materialNMin.Max.MeanSDNMin.Max.MeanSDStandard length (mm)224.326126.89384244.4-1190.8382.0235.0-Percentages of standard lengthBody depth64.32656.665.862.62.21056.265.760.02.8Head length25.32622.125.923.91.21121.425.823.51.4Supraoccipital process32.02628.232.430.31.11126.236.530.32.7Predorsal length59.52656.761.858.61.11152.461.957.62.5Dorsal-fin base length31.22627.732.429.71.21127.431.129.21.2Interdorsal length10.92610.914.312.51.01111.213.712.30.6Adipose-fin base length7.0264.57.06.00.5114.96.25.70.5Caudal peduncle height11.72610.812.011.40.31110.511.911.20.5Anal-fin base length32.62631.234.432.70.81128.433.731.81.6Preanal length79.62675.080.577.91.51073.681.176.72.4Prepelvic length59.52654.159.557.11.51153.558.956.02.1Prepectoral length23.22621.424.022.70.81119.124.222.31.4Anal/pelvic distance22.32621.924.723.20.91020.223.222.01.0Pelvic/pectoral distance36.82632.837.234.91.11030.037.033.81.9Width of peduncle3.9263.66.44.80.7113.55.64.50.7Pectoral-fin length23.22620.423.822.01.01120.023.521.71.2Pelvic-fin length17.72612.217.716.01.41113.017.815.81.41st anal-fin lobe length29.11520.229.326.02.5919.527.724.12.92nd anal-fin lobe length14.1811.115.512.91.4312.114.112.91.1Dorsal-fin length27.11724.334.129.82.6725.134.929.03.3Percentages of head lengthSnout length23.32623.032.428.33.2924.631.527.52.8Interorbital width49.82645.555.649.82.7946.453.650.22.3Postorbital distance33.52630.739.534.42.31132.140.534.12.44th infraorbital width14.02610.716.212.61.31110.316.513.02.0Eye vertical diameter33.92632.140.536.02.4933.139.535.52.43rd infraorbital width9.12611.920.415.02.2911.819.415.92.5Cheek gap width9.3268.612.710.01.0118.211.49.81.0Mouth length13.7268.212.210.01.0117.410.58.91.0Mouth width31.52628.036.132.62.0927.236.332.43.0
description: Published as part of Andrade, Marcelo C., Giarrizzo, Tommaso & Jégu, Michel, 2013, Tometes camunani (Characiformes: Serrasalmidae), a new species of phytophagous fish from the Guiana Shield, rio Trombetas basin, Brazil, pp. 300 in Neotropical Ichthyology 11 (2) on page 300, DOI: 10.1590/S1679-62252013000200008, http://zenodo.org/record/12652461
DOI: 10.25824/redu/8udezs
title: Efeitos da fotobiomodulação na análise acústica, perceptivo auditiva e de autopercepção de esforço vocal em mulheres em queixas vocais autorreferidas

description: Os dados apresentados são referentes à análise acústica, perceptivo auditiva e de autopercepção de esforço vocal após Fotobiomodulação, Técnica de Vibração de Língua, Fotobiomodulação + Técnica de Vibração de Língua e Fotobiomodulação Placebo em mulheres sem queixas vocais autorreferidas
DOI: 10.15482/usda.adc/29473610
title: Data from: Addressing Life Cycle Inventory Data Gaps for Industrial Hemp Products and Processes

description: Hemp-based products are gaining research interest due to their diverse applications and eco-friendly cultivation practices. Recognized as a key contributor to the United Nations’ Sustainable Development Goals, industrial hemp is emerging as a vital biobased material for eco-friendly products. However, the absence of industrial hemp product and process data in available life cycle inventory (LCI) databases poses a challenge for the emerging industry due to a lack of standardized practices and global market adoption. Notably, the industry faced legal restrictions in the U.S., leading to a paucity of industrial hemp research and technology development since the 1930s. This study addresses the data gaps hindering comprehensive environmental impact assessments of industrial hemp products. A mixed-method approach was employed to review relevant literature and develop an inventory of product and process data for life cycle assessment (LCA). Data were extracted for pre-harvest operations, including fertilizer use, seeding density, irrigation, agricultural machinery, diesel use, electricity use, and harvest yield. Post-harvest operations data included decortication processes, extraction yield, and carbon storage. Machine learning techniques were explored for data processing and prediction (interpolation and extrapolation). The resulting datasets can facilitate sustainability assessments and support industry competitiveness and growth by reducing or eliminating the labor-intensive and time-consuming processes of creating LCI amidst data scarcity in the hemp industry. This work highlights the need for comprehensive LCI databases and thorough LCA studies to guide hemp-based and other emerging biobased industries through innovation challenges. Future research will consider more recent studies and explore region-specific datasets to reduce LCA variability and uncertainties in environmental impact assessments.
DOI: 10.3886/e222701v1-198222
title: Teachers' social identity perceptions

description: This dataset was collected to examine the mediating role of teachers' social identity perceptions in the relationship between their cultural value perceptions and organizational politics perceptions. The study was designed within an explanatory relational research model and conducted with 976 teachers working in public educational institutions in Düzce, Turkey.
The data were collected through surveys during the 2021-2022 academic year, using the following measurement instruments:

Individual Cultural Values Scale
Perceived Organizational Politics Scale
Teachers’ Social Identity Perception Scale

For data analysis, exploratory and confirmatory factor analysis, correlation analysis, descriptive statistics, structural equation modeling (SEM), and bootstrapping procedures were employed.
The findings indicate that teachers' perceptions of individual cultural values significantly and negatively predict their perceptions of organizational politics, while positively predicting their perceptions of social identity. Additionally, social identity perceptions were found to negatively and significantly explain organizational politics perceptions. Moreover, social identity perceptions partially mediate the relationship between cultural value perceptions and organizational politics perceptions. Bootstrapping results confirmed that this indirect effect is statistically significant.
This dataset is stored under private access and is available in SPSS (.sav), Excel (.xlsx), and CSV (.csv) formats.
Keywords: Cultural Value Perception, Organizational Politics Perception, Social Identity, Teachers, Structural Equation Modeling
description: The study population consisted of 3573 teachers
working in a province in northern Turkey during the 2021-2022 academic year. .
DOI: 10.15482/usda.adc/29473610.v2
title: Data from: Addressing Life Cycle Inventory Data Gaps for Industrial Hemp Products and Processes

description: Hemp-based products are gaining research interest due to their diverse applications and eco-friendly cultivation practices. Recognized as a key contributor to the United Nations’ Sustainable Development Goals, industrial hemp is emerging as a vital biobased material for eco-friendly products. However, the absence of industrial hemp product and process data in available life cycle inventory (LCI) databases poses a challenge for the emerging industry due to a lack of standardized practices and global market adoption. Notably, the industry faced legal restrictions in the U.S., leading to a paucity of industrial hemp research and technology development since the 1930s. This study addresses the data gaps hindering comprehensive environmental impact assessments of industrial hemp products. A mixed-method approach was employed to review relevant literature and develop an inventory of product and process data for life cycle assessment (LCA). Data were extracted for pre-harvest operations, including fertilizer use, seeding density, irrigation, agricultural machinery, diesel use, electricity use, and harvest yield. Post-harvest operations data included decortication processes, extraction yield, and carbon storage. Machine learning techniques were explored for data processing and prediction (interpolation and extrapolation). The resulting datasets can facilitate sustainability assessments and support industry competitiveness and growth by reducing or eliminating the labor-intensive and time-consuming processes of creating LCI amidst data scarcity in the hemp industry. This work highlights the need for comprehensive LCI databases and thorough LCA studies to guide hemp-based and other emerging biobased industries through innovation challenges. Future research will consider more recent studies and explore region-specific datasets to reduce LCA variability and uncertainties in environmental impact assessments.
DOI: 10.15482/usda.adc/29473610.v1
title: Data from: Review and Meta-analysis of Industrial Hemp Product and Process Data to Support Environmental Life Cycle Assessment

description: Hemp-based products are gaining research interest due to their diverse applications and eco-friendly cultivation practices. Recognized as a key contributor to the United Nations’ Sustainable Development Goals, industrial hemp is emerging as a vital biobased material for eco-friendly products. However, the absence of industrial hemp product and process data in available life cycle inventory (LCI) databases poses a challenge for the emerging industry due to a lack of standardized practices and global market adoption. Notably, the industry faced legal restrictions in the U.S., leading to a paucity of industrial hemp research and technology development since the 1930s. This study addresses the data gaps hindering comprehensive environmental impact assessments of industrial hemp products. A mixed-method approach was employed to review relevant literature and develop an inventory of product and process data for life cycle assessment (LCA). Data were extracted for pre-harvest operations, including fertilizer use, seeding density, irrigation, agricultural machinery, diesel use, electricity use, and harvest yield. Post-harvest operations data included decortication processes, extraction yield, and carbon storage. Machine learning techniques were explored for data processing and prediction (interpolation and extrapolation). The resulting datasets can facilitate sustainability assessments and support industry competitiveness and growth by reducing or eliminating the labor-intensive and time-consuming processes of creating LCI amidst data scarcity in the hemp industry. This work highlights the need for comprehensive LCI databases and thorough LCA studies to guide hemp-based and other emerging biobased industries through innovation challenges. Future research will consider more recent studies and explore region-specific datasets to reduce LCA variability and uncertainties in environmental impact assessments.
DOI: 10.15468/dl.rhdjwm
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2020",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Rhinella marina, Rhinella schneideri)",
 "Country is one of (Australia, Brazil, Colombia, Ecuador, Venezuela (Bolivarian Republic of), Peru, Mexico, Guatemala, Costa Rica, Panama, Honduras, Nicaragua, El Salvador, United States of America, Bolivia (Plurinational State of), Paraguay, Argentina, Uruguay)"
 ]
}

 The dataset includes 1791 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002458-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7xv95
title: Occurrence Download

description: A dataset containing 1316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Boana raniceps",
 "Year 2000-2020"
 ]
}

 The dataset includes 1316 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002459-260129131611470/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.30508465
title: Serum small non-coding RNA define molecular subtypes in amyotrophic lateral sclerosis

description: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with variable site of onset, disease progression rates and survival times. Early-stage ALS characteristics are shared with other conditions, posing diagnostic challenges and resulting in diagnosis delays. We investigated tRNA-derived small RNAs (tsRNAs) and microRNAs (miRNAs) which are stable and abundantly expressed small non-coding RNAs (sncRNAs) as potential diagnostic serum biomarkers, comparing them to healthy controls and ALS mimics, and gained pathophysiological insights from dysregulated sncRNAs. We analyzed small RNA-seq data from 158 patients with ALS, 60 healthy controls and 39 patients with neurological conditions that mimic ALS to identify differentially expressed sncRNAs. A classifier was built to evaluate their diagnostic potential, followed by hierarchical clustering to identify ALS molecular subtypes. Finally, we performed gene ontology and pathway analysis to identify pathways disrupted within subtypes. We identified several dysregulated tsRNAs and miRNAs and assessed their diagnostic potential using an extreme gradient boosting (XGBoost) classifier. Our models achieved an accuracy of 87.16% and 82.23% in classifying patients with ALS from healthy controls and ALS mimics, respectively. We identified four sncRNA expression-based ALS molecular subtypes with one <i>C9orf72</i> enriched cluster. Further analysis of identified differentially expressed sncRNAs showed their involvement in neuronal pathways. Our study identified potential sncRNA-based diagnostic serum biomarkers and associated molecular subtypes which can be further studied to match clinical parameters and develop subtype specific biomarkers and therapeutic strategies for ALS.
DOI: 10.6084/m9.figshare.30508465.v1
title: Serum small non-coding RNA define molecular subtypes in amyotrophic lateral sclerosis

description: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with variable site of onset, disease progression rates and survival times. Early-stage ALS characteristics are shared with other conditions, posing diagnostic challenges and resulting in diagnosis delays. We investigated tRNA-derived small RNAs (tsRNAs) and microRNAs (miRNAs) which are stable and abundantly expressed small non-coding RNAs (sncRNAs) as potential diagnostic serum biomarkers, comparing them to healthy controls and ALS mimics, and gained pathophysiological insights from dysregulated sncRNAs. We analyzed small RNA-seq data from 158 patients with ALS, 60 healthy controls and 39 patients with neurological conditions that mimic ALS to identify differentially expressed sncRNAs. A classifier was built to evaluate their diagnostic potential, followed by hierarchical clustering to identify ALS molecular subtypes. Finally, we performed gene ontology and pathway analysis to identify pathways disrupted within subtypes. We identified several dysregulated tsRNAs and miRNAs and assessed their diagnostic potential using an extreme gradient boosting (XGBoost) classifier. Our models achieved an accuracy of 87.16% and 82.23% in classifying patients with ALS from healthy controls and ALS mimics, respectively. We identified four sncRNA expression-based ALS molecular subtypes with one <i>C9orf72</i> enriched cluster. Further analysis of identified differentially expressed sncRNAs showed their involvement in neuronal pathways. Our study identified potential sncRNA-based diagnostic serum biomarkers and associated molecular subtypes which can be further studied to match clinical parameters and develop subtype specific biomarkers and therapeutic strategies for ALS.
DOI: 10.15468/dl.3v7ybe
title: Occurrence Download

description: A dataset containing 1791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2020",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 5000",
 "BasisOfRecord is one of (Specimen)",
 "TaxonKey is one of (Rhinella marina, Rhinella schneideri)",
 "Country is one of (Australia, Brazil, Colombia, Ecuador, Venezuela (Bolivarian Republic of), Peru, Mexico, Guatemala, Costa Rica, Panama, Honduras, Nicaragua, El Salvador, United States of America, Bolivia (Plurinational State of), Paraguay, Argentina, Uruguay)"
 ]
}

 The dataset includes 1791 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002460-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.