cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15795550
title: StyleCruxGen: A Visual Dataset Exploring Style, Object, and Environment Variation

description: The dataset comprises 25 distinct object-environment pairs rendered in photorealistic and 10 different styles. The styles used in the dataset are pixel art, watercolor, sketch, voxel art, charcoal drawing, embroidery, neon glow, mosaic art, graffiti and glass painting. All the images have been generated using Stable Diffusion XL (SDXL). The images generated by SDXL have dimensions of 1024x1024. These images were resized in different dimensions such as 512, 384 and 256 and also provided. For each style, multiple variations of the object environments have been generated. Experimentation was done with 3 guidance scale values (5, 8, 11) for image generation. With respect to the prompts for image generation, the prompt structure was varied. The style and style description were placed in 3 various positions in the prompt: start of the prompt (prepend), middle of the prompt (mid) and end of the prompt (append). 5 variants of images were created. Two types of control images were also created: 1. Style_only (these images don't have any object environment pair) 2. Content_only (these images don't have any style associated with it in the SDXL prompts). All the image resolution levels (1024, 512, 384, 256) have 12915 images each. All the metadata related to the images have been provided in the csv file. The 25 distinct object-environment pair images and metadata are distributed across 4 chunks of files. The v1 files contain 8 distinct object-environment pairs, v2 files contain 6 distinct object-environment pairs, v3 files contain 6 distinct object-environment pairs and v4 files contain 5 distinct object-environment pairs.

 

The dataset has multiple usecases, though this is not an exhaustive list:





Style classification and clustering




Evaluating prompt faithfulness of diffusion models




Evaluating style-conditioned image generation capabilities of diffusion models 




Cross-style image retrieval




Style transfer evaluation




Prompt sensitivity analysis
DOI: 10.5281/zenodo.16791524
title: StyleCruxGen: A Visual Dataset Exploring Style, Object, and Environment Variation

description: The dataset comprises 25 distinct object-environment pairs rendered in photorealistic and 10 different styles. The styles used in the dataset are pixel art, watercolor, sketch, voxel art, charcoal drawing, embroidery, neon glow, mosaic art, graffiti and glass painting. All the images have been generated using Stable Diffusion XL (SDXL). The images generated by SDXL have dimensions of 1024x1024. These images were resized in different dimensions such as 512, 384 and 256 and also provided. For each style, multiple variations of the object environments have been generated. Experimentation was done with 3 guidance scale values (5, 8, 11) for image generation. With respect to the prompts for image generation, the prompt structure was varied. The style and style description were placed in 3 various positions in the prompt: start of the prompt (prepend), middle of the prompt (mid) and end of the prompt (append). 5 variants of images were created. Two types of control images were also created: 1. Style_only (these images don't have any object environment pair) 2. Content_only (these images don't have any style associated with it in the SDXL prompts). All the image resolution levels (1024, 512, 384, 256) have 12915 images each. All the metadata related to the images have been provided in the csv file. The 25 distinct object-environment pair images and metadata are distributed across 4 chunks of files. The v1 files contain 8 distinct object-environment pairs, v2 files contain 6 distinct object-environment pairs, v3 files contain 6 distinct object-environment pairs and v4 files contain 5 distinct object-environment pairs.

 

The dataset has multiple usecases, though this is not an exhaustive list:





Style classification and clustering




Evaluating prompt faithfulness of diffusion models




Evaluating style-conditioned image generation capabilities of diffusion models 




Cross-style image retrieval




Style transfer evaluation




Prompt sensitivity analysis
DOI: 10.15468/dl.awy9hf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAB5302"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035677-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y4fjj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stomias atlanticus"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035680-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14131868
title: China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2024

description: The 30m seamless annual leaf-on Landsat composites from 1985 to 2024 were generated using a comprehensive framework designed to ensure high-quality, consistent data across decades. Starting with preprocessed Level-2 surface reflectance images from multiple Landsat sensors, the dataset is restricted to the Leaf-On season, with rigorous cloud and shadow masking applied based on quality assessment bands. To maintain consistency across sensors, spectral harmonization is conducted, followed by annual composite generation using the medoid method to capture peak vegetation conditions. The resulting composites are structured into a spatially consistent data cube, facilitating efficient analysis and monitoring of vegetation dynamics over time.

The band naming convention follows Landsat TM standards, with bands designated as Blue (B1), Green (B2), Red (B3), NIR (B4), SWIR1 (B5), and SWIR2 (B7). Both qualitative and quantitative evaluations were conducted to validate the data quality. Here, we provide 2023 image data covering southwestern forest regions of China as a sample for testing. For access to the full dataset, please visit Google Earth Engine at this link, and Earth Engine App (Landsat Yearly Composite Viewer) at this link.

The dataset has now been updated to include data up to 2024.

Data citation: Cai, Y., Li, X., Zhu, P., Nie, S., Wang, C., Liu, X., & Chen, Y. (2025). China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023. Journal of Remote Sensing. DOI: 10.34133/remotesensing.0698

For data-related inquiries, please contact Dr. Yaotong Cai at caiyt33@mail2.sysu.edu.cn.
DOI: 10.5281/zenodo.14131869
title: China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2024

description: The 30m seamless annual leaf-on Landsat composites from 1985 to 2024 were generated using a comprehensive framework designed to ensure high-quality, consistent data across decades. Starting with preprocessed Level-2 surface reflectance images from multiple Landsat sensors, the dataset is restricted to the Leaf-On season, with rigorous cloud and shadow masking applied based on quality assessment bands. To maintain consistency across sensors, spectral harmonization is conducted, followed by annual composite generation using the medoid method to capture peak vegetation conditions. The resulting composites are structured into a spatially consistent data cube, facilitating efficient analysis and monitoring of vegetation dynamics over time.

The band naming convention follows Landsat TM standards, with bands designated as Blue (B1), Green (B2), Red (B3), NIR (B4), SWIR1 (B5), and SWIR2 (B7). Both qualitative and quantitative evaluations were conducted to validate the data quality. Here, we provide 2023 image data covering southwestern forest regions of China as a sample for testing. For access to the full dataset, please visit Google Earth Engine at this link, and Earth Engine App (Landsat Yearly Composite Viewer) at this link.

The dataset has now been updated to include data up to 2024.

Data citation: Cai, Y., Li, X., Zhu, P., Nie, S., Wang, C., Liu, X., & Chen, Y. (2025). China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023. Journal of Remote Sensing. DOI: 10.34133/remotesensing.0698

For data-related inquiries, please contact Dr. Yaotong Cai at caiyt33@mail2.sysu.edu.cn.
DOI: 10.3886/e237181
title: Programs for "Skill Acquisition and the Gains from Trade: A Cross-country Quantitative Analysis"

description: This folder provides replication files for the paper titled "Skill Acquisition and the Gains from Trade: A Cross-country Quantitative Analysis."
DOI: 10.3886/e237181v1
title: Programs for "Skill Acquisition and the Gains from Trade: A Cross-country Quantitative Analysis"

description: This folder provides replication files for the paper titled "Skill Acquisition and the Gains from Trade: A Cross-country Quantitative Analysis."
DOI: 10.5281/zenodo.16791516
title: AntiSMASH Outputs for DiscERN Manuscript

description: Compiled hits for putative CDAs, glycopeptides, macrolides and rifamycin-like BGCs identified by DiscERN. Annotated using antiSMASH 7.0
DOI: 10.5281/zenodo.16791517
title: AntiSMASH Outputs for DiscERN Manuscript

description: Compiled hits for putative CDAs, glycopeptides, macrolides and rifamycin-like BGCs identified by DiscERN. Annotated using antiSMASH 7.0
DOI: 10.15468/dl.s6ku54
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stomiasunculus barbatus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035681-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e237182
title: Deepening Ethics or Signaling Virtue? Firms’ Differentiated CSR Practices Under Media Scrutiny and Institutional Constraints

description: This dataset accompanies the study ”React or Reform? Firms’ Differentiated CSR Practices Under Media Scrutiny and Institutional Constraints” , which is currently under review for publication.<br>The dataset includes:• Data files: [Raw datasets used for analysis]• Code files: [Scripts for data cleaning, analysis, and visualization]
DOI: 10.3886/e237182v1
title: Deepening Ethics or Signaling Virtue? Firms’ Differentiated CSR Practices Under Media Scrutiny and Institutional Constraints

description: This dataset accompanies the study ”React or Reform? Firms’ Differentiated CSR Practices Under Media Scrutiny and Institutional Constraints” , which is currently under review for publication.<br>The dataset includes:• Data files: [Raw datasets used for analysis]• Code files: [Scripts for data cleaning, analysis, and visualization]
DOI: 10.15468/dl.ry9xa3
title: Occurrence Download

description: A dataset containing 92496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arctostaphylos uva-ursi",
 "Year 1957-2022"
 ]
}

 The dataset includes 92496 records from 558 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035672-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/wl0-nta-a5n
title: †Hollinella Coryell, 1928

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/97c-e1f-t5v
title: †Asturiella Bless, 1970

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/arf-3v4-w3c
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hwm-pb0-hrn
title: Rhinoceros Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pht-cmy-jrt
title: Homo sapiens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pnq-an2-tb0
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g0f-msy-lha
title: Capreolus capreolus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mhb-cxt-rb2
title: Bochianites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/709-a4p-ftp
title: Hemicythere (Hemicythere) Sars, 1925

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/82h-hr8-0yx
title: Cytheromorpha zinndorfi

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dgd-81e-n57
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gv8-351-pxk
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/na4-ehy-n39
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nsk-ded-qd7
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/evq-qdy-sxr
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fxq-7mw-jwy
title: Oosterella

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pjt-cbf-ba4
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78b-tb6-bt3
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v47-zag-dg0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/25c-6bx-lz1
title: †Synastrea Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5dr-dy4-wv4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qdw-dc7-f40
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t9e-sw3-0py
title: Rosalina williamsoni (Chapman & Parr, 1932)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/819-hss-wtg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l09-0e7-s7d
title: †Beisselina jussieui (von Hagenow, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kd5-9ns-ayt
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0v5-j1j-4w1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fbj-xja-jzh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fym-hsz-9jv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wvv-3ps-msb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/159-apy-td7
title: †Liopistha Meek, 1864

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vsy-4z2-kew
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cav-t2x-2xk
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3pe-31a-a6v
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zkr-tp7-xrm
title: †Neocomites peregrinus (Rawson & Kemper, 1978)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.59zvrh
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.97903 18.21804,-86.89976 18.21804,-86.89976 22.35191,-91.97903 22.35191,-91.97903 18.21804))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platymiscium yucatanum Standl."
 ]
}

 The dataset includes 142 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0412169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwcyaa
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((62.38738 39.98645,62.37459 39.90238,62.51897 39.7379,62.93017 39.49301,63.0453 39.66663,62.4879 39.99741,62.38738 39.98645))"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038154-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7vsfk
title: Occurrence Download

description: A dataset containing 4183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cardellina rubrifrons (Giraud Jr, 1841)",
 "Year 2000-2022"
 ]
}

 The dataset includes 4183 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15353397
title: Ecological resilience and resistance to cheatgrass (Bromus tectorum) invasion in southwestern U.S. drylands: 1980-1999 and 2000-2019

description: Spatially explicit and climate sensitive information on the responses of ecosystems to global change processes is required for strategic planning and prioritization of conservation and restoration. Indicators of ecological resilience and invasion resistance (R&R) are used increasingly to understand the influence of climate regimes on ecosystem responses to global change processes and determine effective management strategies. We developed multiclass indicators of R&R based on proxy soil temperature and moisture regimes, or climate regimes, for southwestern U.S. drylands that accounted for precipitation seasonality and climate change at a scale of 1 kilometer (km). The climate variables that we used, mean annual temperature, precipitation, and monsoon index, allowed us to construct climate sensitive and ecologically meaningful climate regimes that mirrored the soil temperature and moisture regimes in the U.S. National Cooperative Soil Survey data and Ecological Site Descriptions that are widely used by managers in the western U.S. The climate regimes reflected the dominant ecological types and plant functional groups and allowed us to develop meaningful indicators of R&R. Particularly important was identification of a monsoon index value (0.30) to delineate areas with an ustic (summer moist) precipitation regime as indicated by the frequency of C4 vs. C3 grass species. The climate regimes that included four temperature regimes (cryic, frigid, mesic, and hypermesic), both ustic and xeric/aridic moisture regimes, and multiple moisture subclasses based on average precipitation zones (PZ). These climate regimes were used to develop four spatial data layers (rasters in GeoTIFF format) representing R&R for two consecutive time periods: 1980-1999, and 2000-2019.
DOI: 10.5281/zenodo.15353398
title: Ecological resilience and resistance to cheatgrass (Bromus tectorum) invasion in southwestern U.S. drylands: 1980-1999 and 2000-2019

description: Spatially explicit and climate sensitive information on the responses of ecosystems to global change processes is required for strategic planning and prioritization of conservation and restoration. Indicators of ecological resilience and invasion resistance (R&R) are used increasingly to understand the influence of climate regimes on ecosystem responses to global change processes and determine effective management strategies. We developed multiclass indicators of R&R based on proxy soil temperature and moisture regimes, or climate regimes, for southwestern U.S. drylands that accounted for precipitation seasonality and climate change at a scale of 1 kilometer (km). The climate variables that we used, mean annual temperature, precipitation, and monsoon index, allowed us to construct climate sensitive and ecologically meaningful climate regimes that mirrored the soil temperature and moisture regimes in the U.S. National Cooperative Soil Survey data and Ecological Site Descriptions that are widely used by managers in the western U.S. The climate regimes reflected the dominant ecological types and plant functional groups and allowed us to develop meaningful indicators of R&R. Particularly important was identification of a monsoon index value (0.30) to delineate areas with an ustic (summer moist) precipitation regime as indicated by the frequency of C4 vs. C3 grass species. The climate regimes that included four temperature regimes (cryic, frigid, mesic, and hypermesic), both ustic and xeric/aridic moisture regimes, and multiple moisture subclasses based on average precipitation zones (PZ). These climate regimes were used to develop four spatial data layers (rasters in GeoTIFF format) representing R&R for two consecutive time periods: 1980-1999, and 2000-2019.
DOI: 10.15468/dl.cv5a4f
title: Occurrence Download

description: A dataset containing 521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (November, December, February, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 1955-1980"
 ]
}

 The dataset includes 521 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018680-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8bdea
title: Occurrence Download

description: A dataset containing 1128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, July, August)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 1955-1980"
 ]
}

 The dataset includes 1128 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018679-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.