cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.n7v6xn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea adenophora Z.J.Huang & Z.B.Xin)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-241125135418005/datasets/export for details.
DOI: 10.15468/dl.v9sk38
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-159.48281 22.49042,-160.46519 21.90444,-155.55327 18.62982,-154.33822 19.61221,-156.67353 21.51665,-159.48281 22.49042))",
 "TaxonKey is Sarotherodon melanotheron Rüppell, 1852"
 ]
}

 The dataset includes 268 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000982-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75xctx
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea barbata Craib)"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000983-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwtyzf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea begoniifolia C.Y.Wu ex H.W.Li)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000984-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfz746
title: Occurrence Download

description: A dataset containing 14630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14630 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000985-241125135418005/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.27905856
title: education expectations

description: This data comes from a survey of parents' educational expectations and adolescents' academic performance.
DOI: 10.6084/m9.figshare.27905856.v1
title: education expectations

description: This data comes from a survey of parents' educational expectations and adolescents' academic performance.
DOI: 10.15468/dl.4vfw8p
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea bicolor D.J.Middleton & Triboun)"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000988-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wweep4
title: Occurrence Download

description: A dataset containing 740 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium caeruleum Pall."
 ]
}

 The dataset includes 740 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000987-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g63dff
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea cavaleriei H.Lév.)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000989-241125135418005/datasets/export for details.
DOI: 10.6084/m9.figshare.27289275
title: Data in Field evidence of flocculated sediments on a coastal algal reef

description: This archive contains field observation data utilized in the published journal article "Field Evidence of Flocculated Sediments on a Coastal Algal Reef," published in Communications Earth & Environment. It includes measured and processed data of hydrodynamics (ADV) and suspended sediments (LISST and OBS) used in the article.
DOI: 10.15468/dl.u4ektz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Petrocosmea chiwui M.Q.Han, H.Jiang & Yan Liu)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000990-241125135418005/datasets/export for details.
DOI: 10.15468/dl.qcgmzh
title: Occurrence Download

description: A dataset containing 14630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14630 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000991-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14219561
title: Joint identification of groundwater contamination source and heterogeneous hydrogeological parameters in LNAPL contaminated site based on deep convolutional encoder-decoder neural networks
DOI: 10.5281/zenodo.14219562
title: Joint identification of groundwater contamination source and heterogeneous hydrogeological parameters in LNAPL contaminated site based on deep convolutional encoder-decoder neural networks
DOI: 10.15468/dl.t67usy
title: Occurrence Download

description: A dataset containing 3204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium lineare L."
 ]
}

 The dataset includes 3204 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000993-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7w4dh
title: Occurrence Download

description: A dataset containing 3137 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum aculeatissimum Jacq."
 ]
}

 The dataset includes 3137 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14219551
title: Replication Data for figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s

description: Supporting data to reproduce figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s
DOI: 10.5281/zenodo.14219552
title: Replication Data for figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s

description: Supporting data to reproduce figures in: Constraining net long-term climate feedback from satellite-observed internal variability possible by the mid-2030s
DOI: 10.15468/dl.82mnh3
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alexandrium monilatum (J.F.Howell) Balech, 1995"
 ]
}

 The dataset includes 53 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000994-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u27y4g
title: Occurrence Download

description: A dataset containing 14630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14630 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000995-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12631881
title: Deep Learning-Driven of Turbidity Levels Dataset

description: The dataset is designed for training and evaluating deep learning models to classify water samples based on their turbidity levels. Turbidity, measured in NTU (Nephelometric Turbidity Units), indicates water clarity and quality. The dataset comprises images of water samples categorized into five distinct classes, each representing a different range of NTU values.

Classes:





Class 1: 200-320 NTU



This class represents water with relatively low turbidity within the given range, indicating some level of clarity.





Class 2: 320-440 NTU



This class includes water samples with moderate turbidity, where water has noticeable suspended particles.





Class 3: 440-560 NTU



This class signifies higher turbidity, where water is considerably less clear due to an increased presence of suspended particles.





Class 4: 560-680 NTU



This class represents high turbidity levels, indicating significantly reduced water clarity with many suspended particles.





Class 5: 680-800 NTU



This class includes water samples with very high turbidity, where water is highly opaque due to a large amount of suspended matter.




Image Samples:



The dataset contains images of water samples taken under controlled lighting conditions to ensure consistency.

Each image captures the visual characteristics of the water sample in a transparent container.

Images are labeled with their corresponding NTU values and class.


Data Format:



Images: Stored in NEF format, with standardized resolution and dimensions.

Labels: Accompanied by a .xlsx file containing image filenames and their corresponding NTU values and class labels.


Applications:



The dataset can be used to develop and evaluate deep learning models for automatic classification of water turbidity levels.

Potential applications include environmental monitoring, water treatment facilities, and public health assessments.
DOI: 10.5281/zenodo.12631882
title: Deep Learning-Driven of Turbidity Levels Dataset

description: The dataset is designed for training and evaluating deep learning models to classify water samples based on their turbidity levels. Turbidity, measured in NTU (Nephelometric Turbidity Units), indicates water clarity and quality. The dataset comprises images of water samples categorized into five distinct classes, each representing a different range of NTU values.

Classes:





Class 1: 200-320 NTU



This class represents water with relatively low turbidity within the given range, indicating some level of clarity.





Class 2: 320-440 NTU



This class includes water samples with moderate turbidity, where water has noticeable suspended particles.





Class 3: 440-560 NTU



This class signifies higher turbidity, where water is considerably less clear due to an increased presence of suspended particles.





Class 4: 560-680 NTU



This class represents high turbidity levels, indicating significantly reduced water clarity with many suspended particles.





Class 5: 680-800 NTU



This class includes water samples with very high turbidity, where water is highly opaque due to a large amount of suspended matter.




Image Samples:



The dataset contains images of water samples taken under controlled lighting conditions to ensure consistency.

Each image captures the visual characteristics of the water sample in a transparent container.

Images are labeled with their corresponding NTU values and class.


Data Format:



Images: Stored in NEF format, with standardized resolution and dimensions.

Labels: Accompanied by a .xlsx file containing image filenames and their corresponding NTU values and class labels.


Applications:



The dataset can be used to develop and evaluate deep learning models for automatic classification of water turbidity levels.

Potential applications include environmental monitoring, water treatment facilities, and public health assessments.
DOI: 10.5281/zenodo.14219501
title: Deep Learning-Driven of Turbidity Levels Dataset

description: The dataset is designed for training and evaluating deep learning models to classify water samples based on their turbidity levels. Turbidity, measured in NTU (Nephelometric Turbidity Units), indicates water clarity and quality. The dataset comprises images of water samples categorized into five distinct classes, each representing a different range of NTU values.

Classes:





Class 1: 200-320 NTU



This class represents water with relatively low turbidity within the given range, indicating some level of clarity.





Class 2: 320-440 NTU



This class includes water samples with moderate turbidity, where water has noticeable suspended particles.





Class 3: 440-560 NTU



This class signifies higher turbidity, where water is considerably less clear due to an increased presence of suspended particles.





Class 4: 560-680 NTU



This class represents high turbidity levels, indicating significantly reduced water clarity with many suspended particles.





Class 5: 680-800 NTU



This class includes water samples with very high turbidity, where water is highly opaque due to a large amount of suspended matter.




Image Samples:



The dataset contains images of water samples taken under controlled lighting conditions to ensure consistency.

Each image captures the visual characteristics of the water sample in a transparent container.

Images are labeled with their corresponding NTU values and class.


Data Format:



Images: Stored in NEF format, with standardized resolution and dimensions.

Labels: Accompanied by a .xlsx file containing image filenames and their corresponding NTU values and class labels.


Applications:



The dataset can be used to develop and evaluate deep learning models for automatic classification of water turbidity levels.

Potential applications include environmental monitoring, water treatment facilities, and public health assessments.
DOI: 10.6084/m9.figshare.27851670
title: Conversation data with students who participated in a short-term study abroad program

description: This data consists of interview responses conducted before and after a short-term study abroad program with Japanese university students.
DOI: 10.6084/m9.figshare.27851670.v1
title: Conversation data with students who participated in a short-term study abroad program

description: This data consists of interview responses conducted before and after a short-term study abroad program with Japanese university students.
DOI: 10.6084/m9.figshare.27752469
title: mixed VODPs dataset

description: Dataset used for training mixed VODPs Graph Neural Network model. It comtains 23334 augmented data in the dataset.
DOI: 10.6084/m9.figshare.27752469.v1
title: mixed VODPs dataset

description: Dataset used for training mixed VODPs Graph Neural Network model.
DOI: 10.15468/dl.3mqpb7
title: Occurrence Download

description: A dataset containing 2228737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2011",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 15.5",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 2228737 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000986-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14219564
title: Competencia motora

description: Datos obtenidos mediante una encuesta para determinar variables que influyen en la competencia motora






Variables



Categorías



Tipo





Competencia motora (CM)



Retraso(Re), al límite del retraso (LRe), por debajo del promedio(DPr), promedio(Pr), por encima del promedio (EPr), superior (Su) y avanzado (Av).



Categórico





Peso (PE)



Peso en kg.



Numérico





Estatura (EST)



Estatura en Centímetros



Numérico





Índice de masa corporal (IMC)



Delgadez severa (DeS), delgadez (De), normal (N), sobrepeso (SP) y obesidad (O) IMC



Categórico





Lectura (LEC)



Vigesimal



Numérico





Matemáticas (MAT)



Vigesimal



Numérico





Desempeño escolar (DE)



Vigesimal



Numérico





Horas de uso de dispositivos con pantalla al día (HDCD)



 Horas



Numérico





Edad (ED)



Años cumplidos



Numérico





Horas de práctica de actividad física al día  (HAFD)



Horas



Numérico





Medio natural (MN) 



Costa (Cos), sierra (Sie) y selva (Sel)



Categórico





Sexo (SE)



Hombre (H) y mujer (M)



Categórico





Satisfacción por el juego motor (SJM)



No (N), a veces (AVE) y sí (S)



Categórico





Nivel Socioeconómico (NS)



E, D, C, B y A



Categórico
DOI: 10.5281/zenodo.14219565
title: Competencia motora

description: Datos obtenidos mediante una encuesta para determinar variables que influyen en la competencia motora






Variables



Categorías



Tipo





Competencia motora (CM)



Retraso(Re), al límite del retraso (LRe), por debajo del promedio(DPr), promedio(Pr), por encima del promedio (EPr), superior (Su) y avanzado (Av).



Categórico





Peso (PE)



Peso en kg.



Numérico





Estatura (EST)



Estatura en Centímetros



Numérico





Índice de masa corporal (IMC)



Delgadez severa (DeS), delgadez (De), normal (N), sobrepeso (SP) y obesidad (O) IMC



Categórico





Lectura (LEC)



Vigesimal



Numérico





Matemáticas (MAT)



Vigesimal



Numérico





Desempeño escolar (DE)



Vigesimal



Numérico





Horas de uso de dispositivos con pantalla al día (HDCD)



 Horas



Numérico





Edad (ED)



Años cumplidos



Numérico





Horas de práctica de actividad física al día  (HAFD)



Horas



Numérico





Medio natural (MN) 



Costa (Cos), sierra (Sie) y selva (Sel)



Categórico





Sexo (SE)



Hombre (H) y mujer (M)



Categórico





Satisfacción por el juego motor (SJM)



No (N), a veces (AVE) y sí (S)



Categórico





Nivel Socioeconómico (NS)



E, D, C, B y A



Categórico
DOI: 10.15468/dl.j5tw63
title: Occurrence Download

description: A dataset containing 14630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14630 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000996-241125135418005/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.27905937
title: <b>Original data for article:</b><b>Distinct baseline toxicity of </b><b>v</b><b>olatile organic compounds (VOCs) </b><b>in</b><b> </b><b>gaseous and liquid phases</b><b>: </b><b>mixture effects</b><b> and potential molecular mechanisms</b>

description: All original GIF files that can be directly run in Gaussian 16W
DOI: 10.15468/dl.mcv8zx
title: Occurrence Download

description: A dataset containing 1054 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium saxatile M.Bieb."
 ]
}

 The dataset includes 1054 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000998-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccz13sw
title: CCDC 894808: Experimental Crystal Structure Determination

description: Related Article: R.Yamaguchi,S.Ito,Byung Sun Lee,S.Hiroto,Dongho Kim,H.Shinokubo|2013|Chem.Asian J.|8|178|doi:10.1002/asia.201200723
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/ccz1415
title: CCDC 894816: Experimental Crystal Structure Determination

description: Related Article: Xiao-Jun Wang,Pei-Zhou Li,Yifei Chen,Quan Zhang,Huacheng Zhang,Xiu Xiang Chan,Rakesh Ganguly,Yongxin Li,Jianwen Jiang,Yanli Zhao|2013|Scientific Reports|3|1149|doi:10.1038/srep01149
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/kjxn5k
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "caroenzopopo"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "caroenzopopo"
DOI: 10.5517/ccz14vz
title: CCDC 894841: Experimental Crystal Structure Determination

description: Related Article: M.Tabatabaee,M.Dadkhodaee,B.-M.Kukovec|2013|Polyhedron|51|316|doi:10.1016/j.poly.2012.12.033
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/ccz14sx
title: CCDC 894839: Experimental Crystal Structure Determination

description: Related Article: M.Tabatabaee,M.Dadkhodaee,B.-M.Kukovec|2013|Polyhedron|51|316|doi:10.1016/j.poly.2012.12.033
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.