cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xn9tqj
title: Occurrence Download

description: A dataset containing 81071 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y epífitas presentes en el proyecto Minera de Cobre Quebradona, municipio de Jericó"
 ]
}

 The dataset includes 81071 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000210-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuyxzu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Obama nungara Carbayo, Alvarez-Presas, Jones & Riutort, 2016",
 "Year 2025-2025"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000212-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsbhdm
title: Occurrence Download

description: A dataset containing 81071 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y epífitas presentes en el proyecto Minera de Cobre Quebradona, municipio de Jericó"
 ]
}

 The dataset includes 81071 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000208-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9894y6
title: Occurrence Download

description: A dataset listing the 864 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y epífitas presentes en el proyecto Minera de Cobre Quebradona, municipio de Jericó"
 ]
}

 The dataset's 864 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000207-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtndu8
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amolops wuyiensis (Liu & Hu, 1975)"
 ]
}

 The dataset includes 505 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000213-250225214225278/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.28448111
title: ISA-1: AI-Empowered Super-Resolution Mapping 1-m Impervious Surface Area in the Yangtze River Economic Belt

description: The Yangtze River Economic Belt (YREB) is a critical region for the ecological and economic sustainability in China, which faces significant challenges from rapid urbanization, particularly the expansion of artificial impervious surfaces area (ISA). While existing many well-known ISA products (e.g., ESA-10m) offer foundational insights, their coarse spatial resolution limits accuracy, especially in fragmented landscapes and complex terrains. To this end, we map a 1-m very-high-resolution ISA product by means of AI techniques, called ISA-1, covering 36 cities in YREB, contributing to the community. ISA-1 is generated by integrating 10-m Sentinel-2 images with a generative adversarial network (GAN)-based super-resolution segmentation framework. Our approach overcomes the limitations of traditional methods, achieving a 10× spatial enhancement to resolve fine-grained urban structures and dispersed rural ISA features. Validation across 36 municipal-level administrative regions along the main stream of the Yangtze River shows that ISA-1 reduces ISA overestimation in densely urbanized areas (e.g., Shanghai, Suzhou) by 0.04%–36.15% compared with ESA-10m, while detecting 5.00% –81.74% more ISA in mountainous<br>regions (e.g., Garzê, Liangshan), demonstrating superior capability in capturing small-scale artificial impervious surfaces. The model achieved an overall accuracy of 94.42%, with F1 scores of 96.64% (non-ISA) and 83.61% (ISA), outperforming existing mid-resolution products in both geometric precision and semantic consistency. This advancement not only enhances the monitoring of urbanization’s ecological impacts, such as altered hydrological cycles and biodiversity loss, but also provides a scalable, cost-effective solution for high-resolution ISA mapping
DOI: 10.6084/m9.figshare.28448111.v2
title: ISA-1: AI-Empowered Super-Resolution Mapping 1-m Impervious Surface Area in the Yangtze River Economic Belt

description: The Yangtze River Economic Belt (YREB) is a critical region for the ecological and economic sustainability in China, which faces significant challenges from rapid urbanization, particularly the expansion of artificial impervious surfaces area (ISA). While existing many well-known ISA products (e.g., ESA-10m) offer foundational insights, their coarse spatial resolution limits accuracy, especially in fragmented landscapes and complex terrains. To this end, we map a 1-m very-high-resolution ISA product by means of AI techniques, called ISA-1, covering 36 cities in YREB, contributing to the community. ISA-1 is generated by integrating 10-m Sentinel-2 images with a generative adversarial network (GAN)-based super-resolution segmentation framework. Our approach overcomes the limitations of traditional methods, achieving a 10× spatial enhancement to resolve fine-grained urban structures and dispersed rural ISA features. Validation across 36 municipal-level administrative regions along the main stream of the Yangtze River shows that ISA-1 reduces ISA overestimation in densely urbanized areas (e.g., Shanghai, Suzhou) by 0.04%–36.15% compared with ESA-10m, while detecting 5.00% –81.74% more ISA in mountainous<br>regions (e.g., Garzê, Liangshan), demonstrating superior capability in capturing small-scale artificial impervious surfaces. The model achieved an overall accuracy of 94.42%, with F1 scores of 96.64% (non-ISA) and 83.61% (ISA), outperforming existing mid-resolution products in both geometric precision and semantic consistency. This advancement not only enhances the monitoring of urbanization’s ecological impacts, such as altered hydrological cycles and biodiversity loss, but also provides a scalable, cost-effective solution for high-resolution ISA mapping
DOI: 10.6084/m9.figshare.28448111.v1
title: HISA-1: Mapping 1-m High-Resolution Impervious Surface Area over 36 Cities in the Yangtze River Economic Belt

description: As rapid urbanization progresses in the Yangtze River Economic Belt (YREB), the expansion of artificial impervious surfaces (ISA) poses significant challenges to both ecological sustainability and economic development. To address these challenges, we present HISA-1, an innovative high-resolution ISA mapping product with a 1-meter resolution, designed to overcome the limitations of existing global ISA products (e.g., ESA-10m), which often suffer from coarse spatial resolution in fragmented landscapes and complex terrains.HISA-1 integrates Sentinel-2 10m imagery with a cutting-edge Generative Adversarial Network (GAN)-based super-resolution segmentation framework, achieving a tenfold spatial enhancement that enables precise mapping of fine-grained urban structures and dispersed rural ISA features. Validation across 36 municipal-level regions along the Yangtze River reveals that HISA-1 reduces ISA overestimation by 0.04% to 36.15% in densely urbanized areas (e.g., Shanghai, Suzhou) compared to ESA-10m, while detecting 5.00% to 81.74% more ISA in mountainous regions (e.g., Garzê, Liangshan), demonstrating its superior ability to capture small-scale artificial impervious surfaces.<br>The HISA-1 product achieves an overall accuracy of 94.42%, with F1 scores of 96.64% for non-ISA areas and 83.61% for ISA areas, outperforming existing mid-resolution products in both geometric precision and semantic consistency. This advancement not only enhances monitoring of urbanization’s ecological impacts, such as changes in hydrological cycles and biodiversity loss, but also provides a scalable, cost-effective solution for high-resolution ISA mapping.
DOI: 10.15468/dl.ddfbjn
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fairy Shrimp (Anostraca: Chirocephalidae) Inventory of Vernal Pools in Vermont, USA"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000217-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzqjwr
title: Occurrence Download

description: A dataset containing 503642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2007",
 "Month is November"
 ]
}

 The dataset includes 503642 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000205-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10855496
title: WallStreetBets 2022
DOI: 10.5281/zenodo.12803230
title: Supplementary materials for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone"

description: This is a ReadMe for the supplementary material for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone" written by Rina Noguchi and Wataru Nakagawa.

----------------------[ReadMe.txt]ReadMe text file.

[FigS1.png]This figure is a supplementary figure which appeared as "Figure S1" in the main text.Caption: Figure S1.  Examples of conduits (dashed green lines) and loser conduits (solid magenta lines) were observed in the experiments with original and contrast-enhanced images.

[FigS2.png]This figure is a supplementary figure which appeared as "Figure S2" in the main text.Caption: Figure S2.  Relationships between the thickness of poured heated syrup and (A) mass losses caused by baking soda decomposition, (B) number of conduits, (C) total conduit area, (D) average conduit area, (E) number of failed conduits, and (F) sum number of conduits and failed conduits. Each plot and error bar represents the average and standard deviation in three repeated experiments, respectively. The red plots and error bars show the 350 g of heated syrup case, which performed ten repeated experiments to verify the reproducibility. Note that horizontal error bars are derived from the difficulty of strict heated syrup-pouring control.

[Experimental_datasheet.xlsx]This EXCEL file includes two sheets: a mass loss change log and a summary of experimental results.

[movie/SSS_X_x15.mp4]These MP4 files are fast-forward movies (x15) for each experiment. SSS = the amount of poured hearty syrup (g), and X = round in each condition.----------------------

For more details, please refer to a research paper "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone".

If you have any questions, please send an e-mail to:r-noguchi@env.sc.niigata-u.ac.jporflugel555@gmail.com.(R. Noguchi)
DOI: 10.5281/zenodo.12803231
title: Supplementary materials for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone"

description: This is a ReadMe for the supplementary material for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone" written by Rina Noguchi and Wataru Nakagawa.

----------------------[ReadMe.txt]ReadMe text file.

[FigS1.png]This figure is a supplementary figure which appeared as "Figure S1" in the main text.Caption: Figure S1.  Examples of conduits (dashed green lines) and loser conduits (solid magenta lines) were observed in the experiments with original and contrast-enhanced images.

[Experimental_datasheet.xlsx]This EXCEL file includes two sheets: a mass loss change log and a summary of experimental results.

[movie/SSS_X_x15.mp4]These MP4 files are fast-forward movies (x15) for each experiment. SSS = the amount of poured hearty syrup (g), and X = round in each condition.----------------------

For more details, please refer to a research paper "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone".

If you have any questions, please send an e-mail to:r-noguchi@env.sc.niigata-u.ac.jporflugel55@gmail.com.(R. Noguchi)
DOI: 10.5281/zenodo.14010555
title: Supplementary materials for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone"

description: This is a ReadMe for the supplementary material for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone" written by Rina Noguchi and Wataru Nakagawa.

----------------------[ReadMe.txt]ReadMe text file.

[FigS1.png]This figure is a supplementary figure which appeared as "Figure S1" in the main text.Caption: Figure S1.  Examples of conduits (dashed green lines) and loser conduits (solid magenta lines) were observed in the experiments with original and contrast-enhanced images.

[FigS2.png]This figure is a supplementary figure which appeared as "Figure S2" in the main text.Caption: Figure S2.  Relationships between the thickness of poured heated syrup and (A) mass losses caused by baking soda decomposition, (B) number of conduits, (C) total conduit area, (D) average conduit area, (E) number of failed conduits, and (F) sum number of conduits and failed conduits. Each plot and error bar represents the average and standard deviation in three repeated experiments, respectively. The red plots and error bars show the 350 g of heated syrup case, which performed ten repeated experiments to verify the reproducibility. Note that horizontal error bars are derived from the difficulty of strict heated syrup-pouring control.

[Experimental_datasheet.xlsx]This EXCEL file includes two sheets: a mass loss change log and a summary of experimental results.

[movie/SSS_X_x15.mp4]These MP4 files are fast-forward movies (x15) for each experiment. SSS = the amount of poured hearty syrup (g), and X = round in each condition.----------------------

For more details, please refer to a research paper "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone".

If you have any questions, please send an e-mail to:r-noguchi@env.sc.niigata-u.ac.jporflugel55@gmail.com.(R. Noguchi)
DOI: 10.5281/zenodo.14177711
title: Supplementary materials for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone"

description: This is a ReadMe for the supplementary material for "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone" written by Rina Noguchi and Wataru Nakagawa.

----------------------[ReadMe.txt]ReadMe text file.

[FigS1.png]This figure is a supplementary figure which appeared as "Figure S1" in the main text.Caption: Figure S1.  Examples of conduits (dashed green lines) and loser conduits (solid magenta lines) were observed in the experiments with original and contrast-enhanced images.

[FigS2.png]This figure is a supplementary figure which appeared as "Figure S2" in the main text.Caption: Figure S2.  Relationships between the thickness of poured heated syrup and (A) mass losses caused by baking soda decomposition, (B) number of conduits, (C) total conduit area, (D) average conduit area, (E) number of failed conduits, and (F) sum number of conduits and failed conduits. Each plot and error bar represents the average and standard deviation in three repeated experiments, respectively. The red plots and error bars show the 350 g of heated syrup case, which performed ten repeated experiments to verify the reproducibility. Note that horizontal error bars are derived from the difficulty of strict heated syrup-pouring control.

[Experimental_datasheet.xlsx]This EXCEL file includes two sheets: a mass loss change log and a summary of experimental results.

[movie/SSS_X_x15.mp4]These MP4 files are fast-forward movies (x15) for each experiment. SSS = the amount of poured hearty syrup (g), and X = round in each condition.----------------------

For more details, please refer to a research paper "Experimental verification for self-organization process on the spatial distribution and edifice size of rootless cone".

If you have any questions, please send an e-mail to:r-noguchi@env.sc.niigata-u.ac.jporflugel555@gmail.com.(R. Noguchi)
DOI: 10.5281/zenodo.14927784
title: Evaluation and Prompt

description: Anonymous
DOI: 10.5281/zenodo.14927785
title: Evaluation and Prompt

description: Anonymous
DOI: 10.15468/8jayua
title: Mammal collection of National Museum of Nature and Science

description: Mammal specimens deposited at the Department of Zoology, National Museum of Nature and Science
DOI: 10.5281/zenodo.14892086
title: Dataset for Climate-Sensitive Chemical Weathering Feedbacks in a Glacial River Basin, Northeast Qinghai-Tibet Plateau
DOI: 10.15468/dl.6epqer
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fairy Shrimp (Anostraca: Chirocephalidae) Inventory of Vernal Pools in Vermont, USA"
 ]
}

 The dataset includes 29 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwqfd8
title: Occurrence Download

description: A dataset containing 570309 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((151.3961 -29.49632, 152.5837 -29.49632, 152.5837 -28.47674, 151.3961 -28.47674, 151.3961 -29.49632))",
 "Year is less than 2026"
 ]
}

 The dataset includes 570309 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000198-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25493/hr6s-103
title: Attentional deployment in the presence of multiple biasing signals: the interplay between top-down control and statistical learning (v1.1)

description: The main goal of this project was to investigate whether different attentional control (AC) mechanisms jointly act to shape the priority of given stimuli/locations or whether, at any given moment, one mechanism prevails over the others, gaining precedence onto the neural representation of the visual space, known as spatial priority map. Here we tested the unique and combined effects of different AC mechanisms on attentional deployment. Experiments 1 and 4 assessed the impact of top-down control by using an endogenous cueing protocol with location-specific or region-specific valid (vs. neutral) cues, respectively. Experiment 2 investigated the influence of statistical learning (SL) by introducing an imbalance in target frequency across locations (high/intermediate/low). Experiments 3, 3b, and 5 evaluated the interaction between these two AC signals, by using location-specific and region-specific cueing, respectively. Results showed better performance following a valid (vs. neutral) cue and in the high (vs. low) frequency location, confirming the influence of both mechanisms on attentional guidance. However, when active together, top-down control seems to prevail over the biasing impact of SL, with the latter emerging only in neutral cue trials. By introducing a salient distractor, we also assessed the interfering effects of bottom-up AC signals which diverted attention from the target, regardless of the presence/absence of other AC mechanisms. All data are available for reanalysis, modelling, or meta-analysis.
DOI: 10.15468/dl.4werre
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Living Specimen, Occurrence evidence, Material sample)",
 "TaxonKey is one of (Speothos venaticus (Lund, 1842))"
 ]
 }
 ]
}

 The dataset includes 66 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000225-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du79gc
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.32581 -9.11270,74.32581 -9.11270,74.32581 53.11270,-81.32581 53.11270,-81.32581 -9.11270))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Felimare bilineata (Pruvot-Fol, 1953)"
 ]
}

 The dataset includes 160 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000226-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9bp74
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fairy Shrimp (Anostraca: Chirocephalidae) Inventory of Vernal Pools in Vermont, USA"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000223-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sveu5r
title: Occurrence Download

description: A dataset containing 487197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2007",
 "Month is December"
 ]
}

 The dataset includes 487197 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000218-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x38e8r
title: Occurrence Download

description: A dataset listing the 4030598 species recorded in GBIF matching the query:
{ }

 The dataset's 4030598 records were derived from 71303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.