cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.83k6gy
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonchus wightianus DC."
 ]
}

 The dataset includes 558 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000064-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj3vv4
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaeranthus africanus L."
 ]
}

 The dataset includes 804 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000071-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9et29e
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Comarostaphylis arbutoides subsp. costaricensis (Small) Diggs"
 ]
}

 The dataset includes 76 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000070-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14930472
title: Human evolutionary tapestry at the crossroads of Siberia and East Asia unraveling the unique threads of human evolution, biological adaptation, and archaic introgression
DOI: 10.5281/zenodo.14930739
title: Datasets of Atgpxl 1-8 seedlings
DOI: 10.5281/zenodo.14930740
title: Datasets of Atgpxl 1-8 seedlings
DOI: 10.15468/dl.fd9n4u
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((134.08282 -0.86708,134.08327 -0.86709,134.08324 -0.86668,134.08299 -0.86675,134.08282 -0.86708))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000066-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ybkut
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formicivora iheringi Hellmayr, 1909"
 ]
}

 The dataset includes 1051 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000067-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14930382
title: Grounding line locations for Storstrømmen and L. Bistrup Bræ during 2015-2024

description: This dataset contains supplementary data and code for the article: 

"Brief communication: Storstrømmen glacier, Northeast Greenland, primed for end-of-decade surge", https://doi.org/10.5194/egusphere-2024-3382

Jonas K. Andersen, Rasmus P. Meyer, Flora S. Huiban, Mads L. Dømgaard, Romain Millan, and Anders A. Bjørk

 

The dataset contains grounding line locations for Storstrømmen and L. Bistrup Bræ, northeast Greenland. Grounding lines are generated from double-difference SAR interferograms using Sentinel-1 data for the period 2015-2024 from ascending track 74. Interferograms were generated for all available retrievals (every 6 days during 2016-2021, otherwise every 12 days) and a grounding line location was manually delineated for all instances were coherence was sufficiently retained. The grounding lines are stored in files:

Storstrommen_GL_S1.zip and LBistrup_GL_S1.zip

Additionally, the dataset contains code and data used to generate Figures 1-3 of the manuscript. The code is contained in python scripts:

Figure1.py, Figure2.py, and Figure3.py

The following supplementary data is provided:

ElevationChange_Storstrommen.csv - Elevation change data from the uppler/lower zones of Storstrømmen, estimated from NASA ATM and ArcticDEM data (see section 2.3 of the article)

GL_transect_storstrommen.zip - shapefile containing the transect used to estimate grounding line retreat for Storstrømmen

pha_dd_tifs_2018Oct - Double-difference interferograms documenting the drainage event presented in Figure 3a-c

pha_dd_tifs_2022Dec - Double-difference interferograms documenting the drainage event presented in Figure 3d-f
DOI: 10.5281/zenodo.14930383
title: Grounding line locations for Storstrømmen and L. Bistrup Bræ during 2015-2024

description: This dataset contains supplementary data and code for the article: 

"Brief communication: Storstrømmen glacier, Northeast Greenland, primed for end-of-decade surge", https://doi.org/10.5194/egusphere-2024-3382

Jonas K. Andersen, Rasmus P. Meyer, Flora S. Huiban, Mads L. Dømgaard, Romain Millan, and Anders A. Bjørk

 

The dataset contains grounding line locations for Storstrømmen and L. Bistrup Bræ, northeast Greenland. Grounding lines are generated from double-difference SAR interferograms using Sentinel-1 data for the period 2015-2024 from ascending track 74. Interferograms were generated for all available retrievals (every 6 days during 2016-2021, otherwise every 12 days) and a grounding line location was manually delineated for all instances were coherence was sufficiently retained. The grounding lines are stored in files:

Storstrommen_GL_S1.zip and LBistrup_GL_S1.zip

Additionally, the dataset contains code and data used to generate Figures 1-3 of the manuscript. The code is contained in python scripts:

Figure1.py, Figure2.py, and Figure3.py

The following supplementary data is provided:

ElevationChange_Storstrommen.csv - Elevation change data from the uppler/lower zones of Storstrømmen, estimated from NASA ATM and ArcticDEM data (see section 2.3 of the article)

GL_transect_storstrommen.zip - shapefile containing the transect used to estimate grounding line retreat for Storstrømmen

pha_dd_tifs_2018Oct - Double-difference interferograms documenting the drainage event presented in Figure 3a-c

pha_dd_tifs_2022Dec - Double-difference interferograms documenting the drainage event presented in Figure 3d-f
DOI: 10.15468/dl.attbgw
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaeranthus senegalensis DC."
 ]
}

 The dataset includes 456 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000076-250226125047203/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.28152221.v1
title: Estimation and Inference for a Semiparametric Time–Varying Panel Data Model

description: This article introduces a new semiparametric panel data model that accounts for time-varying coefficients and aligns with recent advancements in factor models featuring nonparametric loading functions. We propose a profile marginal integration (PMI) method to jointly estimate the unknown quantities in a series of easily implementable steps. The asymptotic properties of these estimators are established. Additionally, we provide a hypothesis test to assess the validity of parametric model specifications in applied settings. Simulation studies and an empirical application on mutual fund returns are conducted to evaluate the finite sample performance of the proposed method. The empirical results suggest that traditional parametric methods, which ignore time variation, may lead to invalid inference.
DOI: 10.6084/m9.figshare.28152221
title: Estimation and Inference for a Semiparametric Time–Varying Panel Data Model

description: This article introduces a new semiparametric panel data model that accounts for time-varying coefficients and aligns with recent advancements in factor models featuring nonparametric loading functions. We propose a profile marginal integration (PMI) method to jointly estimate the unknown quantities in a series of easily implementable steps. The asymptotic properties of these estimators are established. Additionally, we provide a hypothesis test to assess the validity of parametric model specifications in applied settings. Simulation studies and an empirical application on mutual fund returns are conducted to evaluate the finite sample performance of the proposed method. The empirical results suggest that traditional parametric methods, which ignore time variation, may lead to invalid inference.
DOI: 10.6084/m9.figshare.28156199
title: Leveraging Unlabeled Data for Superior ROC Curve Estimation via a Semiparametric Approach

description: The receiver operating characteristic (ROC) curve is a widely used tool in various fields, including economics, medicine, and machine learning, for evaluating classification performance and comparing treatment effect. The absence of clear and readily labels is a frequent phenomenon in estimating ROC owing to various reasons like labeling cost, time constraints, data privacy and information asymmetry. Traditional supervised estimators commonly rely solely on labeled data, where each sample is associated with a fully observed response variable. We propose a new set of semi-supervised (SS) estimators to exploit available unlabeled data (samples lack of observations for responses) to enhance the estimation precision under the semi-parametric setting assuming that the distribution of the response variable for one group is known up to unknown parameters. The newly proposed SS estimators have attractive properties such as adaptability and efficiency by leveraging the flexibility of kernel smoothing method. We establish the large sample properties of the SS estimators, which demonstrate that the SS estimators outperform the supervised estimator consistently under mild assumptions. Numeric experiments provide empirical evidence to support our theoretical findings. Finally, we showcase the practical applicability of our proposed methodology by applying it to two real datasets.
DOI: 10.6084/m9.figshare.28156199.v2
title: Leveraging Unlabeled Data for Superior ROC Curve Estimation via a Semiparametric Approach

description: The receiver operating characteristic (ROC) curve is a widely used tool in various fields, including economics, medicine, and machine learning, for evaluating classification performance and comparing treatment effect. The absence of clear and readily labels is a frequent phenomenon in estimating ROC owing to various reasons like labeling cost, time constraints, data privacy and information asymmetry. Traditional supervised estimators commonly rely solely on labeled data, where each sample is associated with a fully observed response variable. We propose a new set of semi-supervised (SS) estimators to exploit available unlabeled data (samples lack of observations for responses) to enhance the estimation precision under the semi-parametric setting assuming that the distribution of the response variable for one group is known up to unknown parameters. The newly proposed SS estimators have attractive properties such as adaptability and efficiency by leveraging the flexibility of kernel smoothing method. We establish the large sample properties of the SS estimators, which demonstrate that the SS estimators outperform the supervised estimator consistently under mild assumptions. Numeric experiments provide empirical evidence to support our theoretical findings. Finally, we showcase the practical applicability of our proposed methodology by applying it to two real datasets.
DOI: 10.5281/zenodo.14794725
title: data
DOI: 10.5281/zenodo.14794726
title: data
DOI: 10.5281/zenodo.14930835
title: Preventing and Overcoming Mathematical Anxiety in Primary Education

description: Mathematical anxiety is a persistent fear that affects students' ability to engage with mathematical tasks, impacting their academic performance and emotional well-being. This study explores the causes, symptoms, and consequences of mathematical anxiety in primary education. Based on the findings, an intervention program, "Get to Know Math Anxiety", is proposed to train in-service teachers. The program equips educators with strategies to prevent, detect, and manage mathematical anxiety in the classroom, aiming to create a more supportive learning environment.
DOI: 10.5281/zenodo.14930836
title: Preventing and Overcoming Mathematical Anxiety in Primary Education

description: Mathematical anxiety is a persistent fear that affects students' ability to engage with mathematical tasks, impacting their academic performance and emotional well-being. This study explores the causes, symptoms, and consequences of mathematical anxiety in primary education. Based on the findings, an intervention program, "Get to Know Math Anxiety", is proposed to train in-service teachers. The program equips educators with strategies to prevent, detect, and manage mathematical anxiety in the classroom, aiming to create a more supportive learning environment.
DOI: 10.5281/zenodo.14930929
title: Preventing and Overcoming Mathematical Anxiety in Primary Education

description: Mathematical anxiety is a persistent fear that affects students' ability to engage with mathematical tasks, impacting their academic performance and emotional well-being. This study explores the causes, symptoms, and consequences of mathematical anxiety in primary education. Based on the findings, an intervention program, "Get to Know Math Anxiety", is proposed to train in-service teachers. The program equips educators with strategies to prevent, detect, and manage mathematical anxiety in the classroom, aiming to create a more supportive learning environment.
DOI: 10.5281/zenodo.14930903
title: Intervención en la Atención Conjunta e Intención Comunicativa en Niños con Rasgos Autistas
title: Intervention in Joint Attention and Communicative Intent in Children with Autism Traits

description: Joint attention and communicative intent are critical skills for social interaction, often impaired in children with autism spectrum disorder (ASD). This study presents "Yo TEAcompaño", an early intervention program aimed at enhancing these abilities in three 2-year-old children showing early signs of ASD. The program includes 16 structured sessions using Applied Behavior Analysis (ABA), shared play, and visual schedules with pictograms as an augmentative communication system. The goal is to provide children with tools to engage, communicate, and share interests with their environment.
description: La atención conjunta y la intención comunicativa son habilidades fundamentales para la interacción social, pero suelen estar afectadas en niños con Trastorno del Espectro Autista (TEA). Este estudio presenta "Yo TEAcompaño", un programa de intervención temprana diseñado para potenciar estas habilidades en tres niños de 2 años que muestran signos iniciales de TEA. La propuesta consta de 16 sesiones estructuradas basadas en Análisis Conductual Aplicado (ABA), juego compartido y el uso de Agendas Visuales con pictogramas como sistema aumentativo de comunicación. El objetivo es dotar a los niños de herramientas para expresar sus intereses, mejorar su comunicación y facilitar su inclusión social.
DOI: 10.5281/zenodo.14930902
title: Intervención en la Atención Conjunta e Intención Comunicativa en Niños con Rasgos Autistas
title: Intervention in Joint Attention and Communicative Intent in Children with Autism Traits

description: Joint attention and communicative intent are critical skills for social interaction, often impaired in children with autism spectrum disorder (ASD). This study presents "Yo TEAcompaño", an early intervention program aimed at enhancing these abilities in three 2-year-old children showing early signs of ASD. The program includes 16 structured sessions using Applied Behavior Analysis (ABA), shared play, and visual schedules with pictograms as an augmentative communication system. The goal is to provide children with tools to engage, communicate, and share interests with their environment.
description: La atención conjunta y la intención comunicativa son habilidades fundamentales para la interacción social, pero suelen estar afectadas en niños con Trastorno del Espectro Autista (TEA). Este estudio presenta "Yo TEAcompaño", un programa de intervención temprana diseñado para potenciar estas habilidades en tres niños de 2 años que muestran signos iniciales de TEA. La propuesta consta de 16 sesiones estructuradas basadas en Análisis Conductual Aplicado (ABA), juego compartido y el uso de Agendas Visuales con pictogramas como sistema aumentativo de comunicación. El objetivo es dotar a los niños de herramientas para expresar sus intereses, mejorar su comunicación y facilitar su inclusión social.
DOI: 10.25505/fiz.icsd.cc2mgkqd
title: CSD 2427074: Experimental Crystal Structure Determination

description: Related Article: USHA S|2025|ICSD Communication|||
description: Related Article: USHA S|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2mgp60
title: CSD 2427182: Experimental Crystal Structure Determination

description: Related Article: USHA S|2025|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14930998
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions
DOI: 10.5281/zenodo.14930999
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions
DOI: 10.15468/dl.42v6pu
title: Occurrence Download

description: A dataset listing the 15 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dragonfly records from the British Dragonfly Society Recording Scheme",
 "Geometry POLYGON((-1.6 51.1,-1.5 51.1,-1.5 51.2,-1.6 51.2,-1.6 51.1))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 15 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000073-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f896t8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anagyris latifolia Brouss. ex Willd.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000078-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7ksfw
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stilpnolepis centiflora (Maxim.) Krasch."
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spu2uf
title: Occurrence Download

description: A dataset listing the 118 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-1.6 51.5,-1.5 51.5,-1.5 51.6,-1.6 51.6,-1.6 51.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 118 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000072-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8jm84
title: Occurrence Download

description: A dataset containing 50881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Coccinella septempunctata Linnaeus, 1758",
 "Year 1914-2024"
 ]
}

 The dataset includes 50881 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000077-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a52ar9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Androsace pyrenaica Lam.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000080-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/2f421f9d5e9d4113
title: Custom collection of radar data from Palaiseau on 26 Feb 2025
DOI: 10.15468/dl.r65pbg
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atractylodes macrocephala Koidz."
 ]
}

 The dataset includes 210 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000081-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk47y5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stilpnolepis intricata (Franch.) C.Shih"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bbz6s
title: Occurrence Download

description: A dataset containing 1285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "Geometry POLYGON((106.79793 -6.60754,106.83317 -6.60754,106.83317 -6.57855,106.79793 -6.57855,106.79793 -6.60754))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 1285 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.