cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26996430
title: Additional file 27 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 27
DOI: 10.6084/m9.figshare.26996430.v1
title: Additional file 27 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 27
DOI: 10.6084/m9.figshare.26996433
title: Additional file 28 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 28
DOI: 10.6084/m9.figshare.26996433.v1
title: Additional file 28 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 28
DOI: 10.6084/m9.figshare.26996436
title: Additional file 29 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 29
DOI: 10.6084/m9.figshare.26996436.v1
title: Additional file 29 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 29
DOI: 10.6084/m9.figshare.26996439
title: Additional file 30 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 30
DOI: 10.6084/m9.figshare.26996439.v1
title: Additional file 30 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 30
DOI: 10.6084/m9.figshare.26996442
title: Additional file 31 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 31
DOI: 10.6084/m9.figshare.26996442.v1
title: Additional file 31 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 31
DOI: 10.6084/m9.figshare.26996445
title: Additional file 32 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 32
DOI: 10.6084/m9.figshare.26996445.v1
title: Additional file 32 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 32
DOI: 10.6084/m9.figshare.26996448
title: Additional file 33 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 33
DOI: 10.6084/m9.figshare.26996448.v1
title: Additional file 33 of Adult sex change leads to extensive forebrain reorganization in clownfish

description: Supplementary Material 33
DOI: 10.6084/m9.figshare.26996451
title: Additional file 1 of Transcription factor binding specificities of the oomycete Phytophthora infestans reflect conserved and divergent evolutionary patterns and predict function

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26996454.v1
title: Additional file 2 of Transcription factor binding specificities of the oomycete Phytophthora infestans reflect conserved and divergent evolutionary patterns and predict function

description: Supplementary Material 2
DOI: 10.15468/dl.bdytdb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Echinocactus grusonii Hildm."
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-240906103802322/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.26996469
title: Additional file 3 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 3.
DOI: 10.6084/m9.figshare.26996469.v1
title: Additional file 3 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 3.
DOI: 10.6084/m9.figshare.26996463
title: Additional file 1 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 1.
DOI: 10.6084/m9.figshare.26996463.v1
title: Additional file 1 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 1.
DOI: 10.6084/m9.figshare.26996466
title: Additional file 2 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 2.
DOI: 10.6084/m9.figshare.26996466.v1
title: Additional file 2 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 2.
DOI: 10.6084/m9.figshare.26996472
title: Additional file 4 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 4.
DOI: 10.6084/m9.figshare.26996472.v1
title: Additional file 4 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 4.
DOI: 10.6084/m9.figshare.26996475
title: Additional file 5 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 5.
DOI: 10.6084/m9.figshare.26996475.v1
title: Additional file 5 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 5.
DOI: 10.6084/m9.figshare.26996478
title: Additional file 6 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 6.
DOI: 10.6084/m9.figshare.26996478.v1
title: Additional file 6 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 6.
DOI: 10.6084/m9.figshare.26996481
title: Additional file 7 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 7.
DOI: 10.6084/m9.figshare.26996481.v1
title: Additional file 7 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 7.
DOI: 10.6084/m9.figshare.26996493
title: Additional file 11 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 11.
DOI: 10.6084/m9.figshare.26996484
title: Additional file 8 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 8.
DOI: 10.6084/m9.figshare.26996484.v1
title: Additional file 8 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 8.
DOI: 10.6084/m9.figshare.26996493.v1
title: Additional file 11 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 11.
DOI: 10.6084/m9.figshare.26996496
title: Additional file 12 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 12.
DOI: 10.6084/m9.figshare.26996496.v1
title: Additional file 12 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 12.
DOI: 10.6084/m9.figshare.26996499
title: Additional file 13 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 13.
DOI: 10.6084/m9.figshare.26996499.v1
title: Additional file 13 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 13.
DOI: 10.6084/m9.figshare.26996502
title: Additional file 14 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 14.
DOI: 10.6084/m9.figshare.26996502.v1
title: Additional file 14 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 14.
DOI: 10.6084/m9.figshare.26996505.v1
title: Additional file 15 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 15.
DOI: 10.5281/zenodo.13748502
title: Anatomy-based Fitting in Cochlear implantation - Database
DOI: 10.5281/zenodo.13748503
title: Anatomy-based Fitting in Cochlear implantation - Database
DOI: 10.6084/m9.figshare.26996487
title: Additional file 9 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 9.
DOI: 10.6084/m9.figshare.26996487.v1
title: Additional file 9 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 9.
DOI: 10.6084/m9.figshare.26996490
title: Additional file 10 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 10.
DOI: 10.6084/m9.figshare.26996505
title: Additional file 15 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 15.
DOI: 10.6084/m9.figshare.26996490.v1
title: Additional file 10 of Cutaneous leishmaniasis in sub-Saharan Africa: a systematic review of Leishmania species, vectors and reservoirs

description: Additional file 10.
DOI: 10.15468/dl.3fhcyb
title: Occurrence Download

description: A dataset containing 117726 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pentaphylacaceae"
 ]
}

 The dataset includes 117726 records from 727 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011684-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3ga44
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chalcolestes viridis, Chalcostephia, Chalcostephia flavifrons, Chlorocypha, Chlorocypha aphrodite, Chlorocypha aurora, Chlorocypha cancellata, Chlorocypha consueta, Chlorocypha curta, Chlorocypha cyanifrons, Chlorocypha dahli, Chlorocypha dispar, Chlorocypha fabamacula, Chlorocypha flammea, Chlorocypha frigida, Chlorocypha ghesquierei, Chlorocypha glauca, Chlorocypha granata, Chlorocypha helenae, Chlorocypha jejuna, Chlorocypha luminosa, Chlorocypha maxima, Chlorocypha neptunus, Chlorocypha pyriformosa, Chlorocypha radix, Chlorocypha rubida, Chlorocypha schmidti, Chlorocypha selysi, Chlorocypha seydeli, Chlorocypha, Chlorocypha trifaria, Chlorocypha victoriae, Chlorocypha wittei, Chlorolestes, Chlorolestes apricans, Chlorolestes conspicuus, Chlorolestes draconicus, Chlorolestes elegans, Chlorolestes fasciatus, Chlorolestes tessellatus, Chlorolestes umbratus, Coenagriocnemis, Coenagriocnemis insularis, Coenagriocnemis reuniensis, Coenagriocnemis rufipes, Coenagrion, Coenagrion caerulescens, Coenagrion mercuriale, Coenagrion puella, Coenagrion scitulum, Copera, Copera congolensis, Copera guttifera, Copera nyansana, Copera rufipes, Copera sikassoensis, Cordulegaster, Cordulegaster boltonii, Cordulegaster boltonii algirica, Cordulegaster princeps, Cordulia, Cordulia aenea, Cornigomphus, Cornigomphus guineensis, Cornigomphus mariannae, Coryphaeschna, Coryphaeschna adnexa, Coryphagrion, Coryphagrion grandis, Crenigomphus, Crenigomphus abyssinicus, Crenigomphus cornutus, Crenigomphus hartmanni, Crenigomphus kavangoensis, Crenigomphus renei, Crocothemis, Crocothemis brevistigma, Crocothemis divisa, Crocothemis erythraea, Crocothemis sanguinolenta, Crocothemis saxicolor, Crocothemis servilia, Crocothemis striata, Cyanothemis, Cyanothemis simpsoni, Diastatomma, Diastatomma bicolor, Diastatomma gamblesi, Diastatomma multilineatum, Diastatomma selysi, Diastatomma soror, Diastatomma tricolor, Diplacodes, Diplacodes deminuta, Diplacodes exilis, Diplacodes lefebvrii, Diplacodes luminans, Diplacodes pumila, Diplacodes trivialis, Ecchlorolestes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((10.1382 29.0599,1.1382 29.0599,1.1382 20.0599,10.1382 20.0599,10.1382 29.0599))"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038779-250827131500795/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.30050239.v3
title: <b>An Intelligent Assessment of Children's Educational Mental Health Incorporating Convolutional Neural Networks and Self-Attention Mechanisms</b>

description: <b>1、The dataset used in this study, named "child_mental_health_dataset.csv", comprises data from approximately 3,000 elementary school students across 15 schools in Beijing, collected in 2022 as part of a children's educational mental health research project. It integrates multimodal data, including demographic information (age, gender, family economic status), 15 core mental health features (e.g., anxiety, self-confidence, responsibility, motivation, depression score) derived from the Children's Behavior Scale and Emotional Health Scale, teacher and parent observation ratings, and behavioral features extracted via optical flow (horizontal, vertical, and strain components) from video frames. The dataset supports regression tasks for predicting depression risk and classification tasks for emotion recognition, with simulated correlations aligning with observed psychological patterns (e.g., positive correlation between anxiety and depression, negative correlation with boldness). Stored in a CSV format with placeholder image paths for start and vertex frames, it is designed to facilitate intelligent mental health assessment using models like mini-ARCNN, offering a comprehensive resource for analyzing children's psychological states in educational settings.</b><br><b>2、The "Figures and Tables" folder contains all the visual and tabular data referenced in the study, including seven figures and two tables critical to the analysis of the proposed mini-ARCNN model for children's mental health assessment. The figures include the neural network architecture (Figure 1), methodology flowchart (Figure 2), self-attention mechanism structure (Figure 3), detailed mini-ARCNN architecture (Figure 4), model performance comparisons on MSE and R² (Figure 5), RMSE and MAE metrics (Figure 6), a heatmap of mental health feature correlations (Figure 7), and ablation experiment results (Figure 8). The tables present emotion recognition results for the proposed model (Table 1, 91.5% accuracy) and the MobliNet model (Table 2, 83.3% accuracy) across six expressions. These resources, stored as images and data files, provide a comprehensive visual representation of the study's methodology, experimental outcomes, and analytical insights.</b>
DOI: 10.6084/m9.figshare.30050239
title: <b>An Intelligent Assessment of Children's Educational Mental Health Incorporating Convolutional Neural Networks and Self-Attention Mechanisms</b>

description: <b>1、The dataset used in this study, named "child_mental_health_dataset.csv", comprises data from approximately 3,000 elementary school students across 15 schools in Beijing, collected in 2022 as part of a children's educational mental health research project. It integrates multimodal data, including demographic information (age, gender, family economic status), 15 core mental health features (e.g., anxiety, self-confidence, responsibility, motivation, depression score) derived from the Children's Behavior Scale and Emotional Health Scale, teacher and parent observation ratings, and behavioral features extracted via optical flow (horizontal, vertical, and strain components) from video frames. The dataset supports regression tasks for predicting depression risk and classification tasks for emotion recognition, with simulated correlations aligning with observed psychological patterns (e.g., positive correlation between anxiety and depression, negative correlation with boldness). Stored in a CSV format with placeholder image paths for start and vertex frames, it is designed to facilitate intelligent mental health assessment using models like mini-ARCNN, offering a comprehensive resource for analyzing children's psychological states in educational settings.</b><br><b>2、The "Figures and Tables" folder contains all the visual and tabular data referenced in the study, including seven figures and two tables critical to the analysis of the proposed mini-ARCNN model for children's mental health assessment. The figures include the neural network architecture (Figure 1), methodology flowchart (Figure 2), self-attention mechanism structure (Figure 3), detailed mini-ARCNN architecture (Figure 4), model performance comparisons on MSE and R² (Figure 5), RMSE and MAE metrics (Figure 6), a heatmap of mental health feature correlations (Figure 7), and ablation experiment results (Figure 8). The tables present emotion recognition results for the proposed model (Table 1, 91.5% accuracy) and the MobliNet model (Table 2, 83.3% accuracy) across six expressions. These resources, stored as images and data files, provide a comprehensive visual representation of the study's methodology, experimental outcomes, and analytical insights.</b>
DOI: 10.6084/m9.figshare.30050239.v2
title: <b>An Intelligent Assessment of Children's Educational Mental Health Incorporating Convolutional Neural Networks and Self-Attention Mechanisms</b>

description: <b>An Intelligent Assessment of Children's Educational Mental Health Incorporating Convolutional Neural Networks and Self-Attention Mechanisms</b>
DOI: 10.6084/m9.figshare.30069184
title: Data on research entitiled “Decoupling industrial development from carbon emissions in resource-based cities in China”.pdf

description: This study examines sustainable development in resource-based cities (RBCs) against global climate change and resource depletion. Targeting 90 RBCs in China, this research employed the Tapio decoupling index and the Log Mean Divisia Index (LMDI) to investigate the decoupling status, dynamic pathways, and influencing factors between industrial development and carbon emissions during the pursuit of carbon peaking and carbon neutrality.
DOI: 10.6084/m9.figshare.30069184.v1
title: Data on research entitiled “Decoupling industrial development from carbon emissions in resource-based cities in China”.pdf

description: This study examines sustainable development in resource-based cities (RBCs) against global climate change and resource depletion. Targeting 90 RBCs in China, this research employed the Tapio decoupling index and the Log Mean Divisia Index (LMDI) to investigate the decoupling status, dynamic pathways, and influencing factors between industrial development and carbon emissions during the pursuit of carbon peaking and carbon neutrality.
DOI: 10.15468/dl.xj3mjw
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristida adoensis"
 ]
}

 The dataset includes 364 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038780-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v86sbq
title: Occurrence Download

description: A dataset containing 3228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquila adalberti",
 "Year is 2020"
 ]
}

 The dataset includes 3228 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038782-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdbcqp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neoplecostomus canastra)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038784-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7xu66
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aceria tulipae"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038783-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.