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

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miconia subsimplex Pilg."
 ]
}

 The dataset includes 48 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000318-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id298245.1
title: StrainInfo SI-ID 298245.1

description: StrainInfo dataset 298245 about a strain of Ralstonia solanacearum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id298047.1
title: StrainInfo SI-ID 298047.1

description: StrainInfo dataset 298047 about a strain of Micromonospora. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.77x7vs
title: Occurrence Download

description: A dataset containing 23658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliomaster longirostris (Audebert & Vieillot, 1801)"
 ]
}

 The dataset includes 23658 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111669-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rka4bg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alburnoides bipunctatus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5k2k7
title: Occurrence Download

description: A dataset containing 31316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Geometry POLYGON((-25 70, 40 70, 40 35, -25 35, -25 70))"
 ]
}

 The dataset includes 31316 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000960-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6x4dzzrs2h.2
title: MDMCS: A Benchmark Dataset for Multi-Damage Monitoring of Concrete Structures

description: Concrete structures deteriorate over time due to environmental exposure and mechanical stress, leading to various types of damage such as cracking, spalling, corrosion, and exposed rebar. Automated detection using deep learning-based computer vision techniques is limited by the lack of high-quality, annotated datasets. To address this challenge, this paper presents MDMCS (Multi-Damage Monitoring of Concrete Structures), a dataset of 1,200 images with precise pixel-wise annotations involving four types of damage (cracking, spalling, corrosion, and exposed rebar) and diverse lighting conditions and material textures. The dataset has been evaluated using six state-of-the-art segmentation models, validating the efficacy of the dataset and providing benchmarks for damage detection models. MDMCS will facilitate advances in artificial intelligence-powered structural monitoring and robot-assisted automatic inspection for improving the operation and maintenance of concrete structures.
DOI: 10.17632/37tbj8455m
title: Condition changes of the Bagna Izbickie peatland Nature Reserve in Poland using RSEI indicator, within 1985 – 2020

description: The study examined ecological changes occurring in a Baltic raised bog in northern Poland. The analysis covered the period from 1985 to 2020, using 5-year intervals. Landsat TM C2 L2 imagery (1985–2010) and Landsat OLI C2 L2 imagery (2015–2020), obtained from USGS.gov, were used. For the analyses, images with the lowest possible cloud cover from June were selected. Based on these data, indices including NDVI, NDBSI, LST, and WET were calculated, followed by a principal component analysis (PCA) to derive the composite Remote Sensing Ecological Index (RSEI). To analyze RSEI values across individual years and within different land cover classes, supervised classification of the scenes was carried out using the maximum likelihood method. RSEI data were then compared with climatic variables (precipitation, reference evapotranspiration, actual evapotranspiration, runoff, and climatic water deficit). Climate data were obtained from TerraClimate via climateengine.org. The results revealed clear differentiation among land cover classes—forest, grassland, and bog. An upward trend in RSEI values was observed across all land cover classes during the study period, although the total area of peatland declined, largely in favor of forest expansion.
DOI: 10.17632/37tbj8455m.1
title: Condition changes of the Bagna Izbickie peatland Nature Reserve in Poland using RSEI indicator, within 1985 – 2020

description: The study examined ecological changes occurring in a Baltic raised bog in northern Poland. The analysis covered the period from 1985 to 2020, using 5-year intervals. Landsat TM C2 L2 imagery (1985–2010) and Landsat OLI C2 L2 imagery (2015–2020), obtained from USGS.gov, were used. For the analyses, images with the lowest possible cloud cover from June were selected. Based on these data, indices including NDVI, NDBSI, LST, and WET were calculated, followed by a principal component analysis (PCA) to derive the composite Remote Sensing Ecological Index (RSEI). To analyze RSEI values across individual years and within different land cover classes, supervised classification of the scenes was carried out using the maximum likelihood method. RSEI data were then compared with climatic variables (precipitation, reference evapotranspiration, actual evapotranspiration, runoff, and climatic water deficit). Climate data were obtained from TerraClimate via climateengine.org. The results revealed clear differentiation among land cover classes—forest, grassland, and bog. An upward trend in RSEI values was observed across all land cover classes during the study period, although the total area of peatland declined, largely in favor of forest expansion.
DOI: 10.17632/yx4ctywpys
title: Indian Traffic VQA Dataset

description: 🧭 Overview
Indian Traffic VQA is a real-world Visual Question Answering (VQA) dataset focusing on Indian road traffic signboards.
The dataset is designed for training and evaluating Vision-Language Models (VLMs) and VQA systems in the traffic and transportation domain.
This dataset bridges a gap between real-world Indian traffic conditions and machine understanding — ideal for research in autonomous driving, smart city AI, and traffic sign recognition under natural environments.
📦 Dataset Summary
• Images: 1,085 real-world traffic signboard images
• Questions: 4,341 unique questions
• Answers: Short, ground-truth textual responses
• Source: All images were collected using a mobile phone in real Indian road environments
• Format: .csv file with the following columns:
o image_name — name of the image file
o question — text-based query
o answer — corresponding ground-truth answer
________________________________________
🧠 Task Definition
Given an image of a traffic signboard and a related question, the model must predict a short text answer.
🧩 Applications
• Visual Question Answering (VQA)
• Vision-Language Model (VLM) Fine-tuning
• Multimodal classification of traffic signs
• Dataset for benchmarking model reasoning in domain-specific visual data
🧰 Data Collection Details
• Captured in diverse Indian traffic conditions (urban, rural, highways)
• Includes varying lighting, occlusions, and view angles
• All images are real photographs, not synthetic
The .zip file contains all the 1085 images with 512x512 resolution. There are two .csv files attached. traffic_vqa_1085.csv contains one question and one answer, traffic_vqa_4341.csv contains multiple questions and answers per image. The first .csv file can be used for low resource computational environment.
DOI: 10.17632/yx4ctywpys.1
title: Indian Traffic VQA Dataset

description: 🧭 Overview
Indian Traffic VQA is a real-world Visual Question Answering (VQA) dataset focusing on Indian road traffic signboards.
The dataset is designed for training and evaluating Vision-Language Models (VLMs) and VQA systems in the traffic and transportation domain.
This dataset bridges a gap between real-world Indian traffic conditions and machine understanding — ideal for research in autonomous driving, smart city AI, and traffic sign recognition under natural environments.
📦 Dataset Summary
• Images: 1,085 real-world traffic signboard images
• Questions: 4,341 unique questions
• Answers: Short, ground-truth textual responses
• Source: All images were collected using a mobile phone in real Indian road environments
• Format: .csv file with the following columns:
o image_name — name of the image file
o question — text-based query
o answer — corresponding ground-truth answer
________________________________________
🧠 Task Definition
Given an image of a traffic signboard and a related question, the model must predict a short text answer.
🧩 Applications
• Visual Question Answering (VQA)
• Vision-Language Model (VLM) Fine-tuning
• Multimodal classification of traffic signs
• Dataset for benchmarking model reasoning in domain-specific visual data
🧰 Data Collection Details
• Captured in diverse Indian traffic conditions (urban, rural, highways)
• Includes varying lighting, occlusions, and view angles
• All images are real photographs, not synthetic
The .zip file contains all the 1085 images with 512x512 resolution. There are two .csv files attached. traffic_vqa_1085.csv contains one question and one answer, traffic_vqa_4341.csv contains multiple questions and answers per image. The first .csv file can be used for low resource computational environment.
DOI: 10.17632/2tbb6fdjhg
title: 气泡

description: 纳米气泡对纳米颗粒分散稳定性的影响
DOI: 10.17632/2tbb6fdjhg.1
title: 气泡

description: 纳米气泡对纳米颗粒分散稳定性的影响
DOI: 10.17632/dj73psf8m5
title: DATA

description: Dust and soil samples
DOI: 10.17632/dj73psf8m5.1
title: DATA

description: Dust and soil samples
DOI: 10.15468/dl.p6n2fn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia mearnsii",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034592-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvquzx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria italica",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034591-250717081556266/datasets/export for details.
DOI: 10.15468/dl.gebhdw
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, ae447c50-b8a8-11d8-92a4-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, f0b6a090-a4c6-11d8-9534-b8a03c50a862)",
 "TaxonKey is Cyperus prolixus"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034593-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbzr7s
title: Occurrence Download

description: A dataset containing 37892 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum tenuifolium"
 ]
}

 The dataset includes 37892 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034590-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bh9dmx
title: Occurrence Download

description: A dataset containing 7706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lupinus microcarpus"
 ]
}

 The dataset includes 7706 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034595-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9a5nq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia mearnsii",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034597-250717081556266/datasets/export for details.
DOI: 10.15468/dl.uqkdqb
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria italica",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 431 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034598-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16360578
title: Age, season, and sex modify the use of external migratory cues by American Woodcock (Scolopax minor)

description: R Code and Data to accompany manuscript "Age, season, and sex modify the use of external migratory cues by American Woodcock (Scolopax minor)". 

Abstract: Timing of migration is seasonal and tied to changing photoperiod; however, individual birds rely extensively on external environmental cues, such as weather, to assess likely flight conditions and make fine-scale decisions about migratory departures. Considerable variation may exist among individuals in how they respond to specific cues, in turn producing intraspecific variability in aspects of migration timing and flight distances. We were interested in how external environmental cues (e.g., weather, lunar cycles) were associated with departure decisions in American Woodcock (Scolopax minor), and whether there was consistent variation in these decisions among individuals based on their age and sex. Between 2017-2020, we captured and attached satellite transmitters to 304 American Woodcock throughout eastern North America and obtained location data as they migrated between summering and wintering areas during both autumn and spring. We used conditional logistic regression and general linear models in a case-control study design, which allowed us to evaluate individual American Woodcock selection for potential cues at departure.  We further explored how individual use of specific wind conditions influenced the distance covered during migratory flights. American Woodcock responded to barometric pressure, moon illumination, temperature, presence of tailwinds, and wind speed when making departure decisions, but selection varied by season, age, and sex. In woodcock responded to  tailwind assistance, and departed under lower temperatures and barometric pressure, however, young birds making their first migration were more responsive to temperature and less responsive to wind assistance than adult birds. During spring migration, female American Woodcock showed a greater selection for wind assistance and higher barometric pressure, whereas males showed stronger response to warmer temperatures and greater moon illumination. American Woodcock that departed using tailwinds generally had longer flight distances, which we assume reflected more efficient flight associated with wind assistance. Adults were able to better capitalize on more favorable flight conditions during autumn migration, whereas decision-making during spring migration was instead driven by sex-specific motivations that were likely associated with breeding.
DOI: 10.5281/zenodo.16360579
title: Age, season, and sex modify the use of external migratory cues by American Woodcock (Scolopax minor)

description: R Code and Data to accompany manuscript "Age, season, and sex modify the use of external migratory cues by American Woodcock (Scolopax minor)". 

Abstract: Timing of migration is seasonal and tied to changing photoperiod; however, individual birds rely extensively on external environmental cues, such as weather, to assess likely flight conditions and make fine-scale decisions about migratory departures. Considerable variation may exist among individuals in how they respond to specific cues, in turn producing intraspecific variability in aspects of migration timing and flight distances. We were interested in how external environmental cues (e.g., weather, lunar cycles) were associated with departure decisions in American Woodcock (Scolopax minor), and whether there was consistent variation in these decisions among individuals based on their age and sex. Between 2017-2020, we captured and attached satellite transmitters to 304 American Woodcock throughout eastern North America and obtained location data as they migrated between summering and wintering areas during both autumn and spring. We used conditional logistic regression and general linear models in a case-control study design, which allowed us to evaluate individual American Woodcock selection for potential cues at departure.  We further explored how individual use of specific wind conditions influenced the distance covered during migratory flights. American Woodcock responded to barometric pressure, moon illumination, temperature, presence of tailwinds, and wind speed when making departure decisions, but selection varied by season, age, and sex. In woodcock responded to  tailwind assistance, and departed under lower temperatures and barometric pressure, however, young birds making their first migration were more responsive to temperature and less responsive to wind assistance than adult birds. During spring migration, female American Woodcock showed a greater selection for wind assistance and higher barometric pressure, whereas males showed stronger response to warmer temperatures and greater moon illumination. American Woodcock that departed using tailwinds generally had longer flight distances, which we assume reflected more efficient flight associated with wind assistance. Adults were able to better capitalize on more favorable flight conditions during autumn migration, whereas decision-making during spring migration was instead driven by sex-specific motivations that were likely associated with breeding.
DOI: 10.15468/dl.echsn8
title: Occurrence Download

description: A dataset containing 6004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periandra mediterranea"
 ]
}

 The dataset includes 6004 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034599-250717081556266/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.29627594.v3
title: Compound composition table of Taihang Chrysanthemum hydrosol with different pretreatments and different open states

description: To investigate the differences in volatile components of pure hydrosol from Taihang Chrysanthemum （Opisthopappus taihangensis） at different stages of flowering，as well as the effects of freeze-drying pretreatment on its aromatic components，this study employed ultrasonic-assisted steam distillation to extract essential oils from fresh flowers and freeze-dried flowers of Taihang Chrysanthemum at the budding stage，initial blooming stage，and full blooming stage. Volatile components were analyzed using headspace two-dimensional gas chromatography coupled with quadrupole tandem time-of-flight high-resolution mass spectrometry. By calculating the relative aroma activity value （ROAV），an OPLS-DA model was used to screen for key differential aromatic components in different Taihang chrysanthemum pure essences （ROAV &gt; 1，VIP &gt; 1，P &lt; 0.05）. The results indicated that a total of 217 compounds were identified in Taihang chrysanthemum pure essences，with 187 compounds in pure essences extracted from fresh Taihang chrysanthemum flowers （THC-F），primarily consisting of alcohols，ethers，and ketones，with the main volatile components being eucalyptol （4.63–17.57 mg/kg） and cis-chrysanthemol （2.04–16.14 mg/kg），exhibiting minty，fruity sweet，and pine resin-like aromas; The pure extract （THC-FD） obtained from Taihang chrysanthemum flowers after freeze-drying contains 90 compounds，primarily esters and ethers. The main volatile components are eucalyptol （0.16–14.90 mg/kg） and (Z)-chrysanthemum alcohol acetate （2.04–7.84 mg/kg），exhibiting scents of mint，lemon，and pine resin. OPLS-DA model analysis （ROAV &gt; 1，VIP &gt; 1，P &lt; 0.05） indicated that Eucalyptol and p-cymene are the key aromatic components distinguishing pure essences from Taihang chrysanthemum flowers in different open states; Eucalyptol，borneol acetate，and citral are the key aromatic components distinguishing freeze-dried Taihang chrysanthemum flower pure extract from fresh flower pure extract. This study indicates that the full bloom period，which is rich in volatile components and has a more intense aroma，is the optimal time for extracting pure essence from Taihang chrysanthemum. Additionally，freeze-drying treatment can produce relatively more ester compounds and lemon aldehyde，which are key aromatic components，providing valuable reference for the extraction of pure essence with unique aromas.
DOI: 10.5281/zenodo.16370111
title: Scripts and Data for Meteotsunami prediction in km-scale regional systems coupled at high frequency

description: This directories include the scripts and data used to produce the figures in Meteotsunami prediction in km-scale regional systems coupled at high frequency
DOI: 10.5281/zenodo.16370112
title: Scripts and Data for Meteotsunami prediction in km-scale regional systems coupled at high frequency

description: This directories include the scripts and data used to produce the figures in Meteotsunami prediction in km-scale regional systems coupled at high frequency
DOI: 10.15468/dl.uyhn47
title: Occurrence Download

description: A dataset containing 32704 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium latifolium"
 ]
}

 The dataset includes 32704 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034596-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udz3fa
title: Occurrence Download

description: A dataset containing 6004 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periandra mediterranea"
 ]
}

 The dataset includes 6004 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034600-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.