cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2ld2tx
title: CCDC 2394899: Experimental Crystal Structure Determination

description: Related Article: Wong Phakhodee, Muh Alfliadhi, Saranphong Yimklan, Pariwut Kongmuang, Surat Hongsibsong, Mookda Pattarawarapan |2025|Asian J.Org.Chem|14|e202500021|doi:10.1002/ajoc.202500021
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lly05
title: CCDC 2401477: Experimental Crystal Structure Determination

description: Related Article: Darius A. Shariaty, Peter I. Djurovich, Mark E. Thompson|2025|J.Am.Chem.Soc.|147|29065|doi:10.1021/jacs.5c07162
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/ncyzct2c5n
title: Replication package for the paper “The economics of water scarcity in the Americas”, September 2025

description: The code and data files help to replicate the paper “The economics of water scarcity in the Americas”.
DOI: 10.17632/ncyzct2c5n.1
title: Replication package for the paper “The economics of water scarcity in the Americas”, September 2025

description: The code and data files help to replicate the paper “The economics of water scarcity in the Americas”.
DOI: 10.25574/45384
title: Chandra X-ray Observatory ObsId 45384
DOI: 10.17632/643wd79h3j.1
title: GVHD cytokine

description: Graft-Versus-Host Disease(GVHD) is a serious complication after transplantation, and ocular involvement is common. Ikervis is increasingly being used in the treatment of ocular symptoms in GVHD patients. Detecting cytokines in the tears of patients after using these eye drops helps to gain a deeper understanding of the drug's mechanism, evaluate treatment efficacy, and provide a basis for optimizing clinical treatment plans. This data collection aims to explore the situation of GVHD patients after using Ikervis.
Data Description included:
(1) Patient Basic Information: Includes patient number, ID, age, gender, etc. 
(2) Disease - related Information: disease diagnosis, disease stage, previous treatment history, etc. 
(3) Eye Drop Information: dosage and frequency.
(4) Ocular Examination Indicators: intraocular pressure, conjunctival hyperemia, tear osmolarity. 
(5) Cytokine Detection: Levels of various cytokines.
We find that a total of 2570 proteins were identified and quantified in this study. Significant differences in the expression of AGT, HRG, and SERPIND1 were observed between R and NR groups prior to HSCT (all P&lt;0.05). COL6A1, RAB11B, and XRCC6, PFKFB4, COL6A1, GNG12, APOA2, and GATAD1 were significantly differentially expressed between the two groups post-HSCT (all P&lt;0.05). These identified proteins were clustered into 6 modules by wWeighted gene co-expression network analysis (WGCNA), which are associated with immune response, lysosome, proteasome, neutrophil extracellular trap formation, and glycan biosynthesis and metabolism. These modules demonstrated a significant correlation with ocular clinical manifestations, including Schirmer test values, tear osmolarity, and conjunctival redness.
Through the analysis of the data on the detection of cytokines in the tears of GVHD patients after using Ikervis eye drops, we have proposed relevant research hypotheses and found some notable phenomena from the data. These findings help us better understand the therapeutic effects of eye drops, the impact of patient characteristics on treatment, and the association between cytokines and ocular symptoms. By reasonably interpreting and using these data, valuable references can be provided for clinical treatment and drug use, ultimately improving the ocular health of GVHD patients. However, it should be noted that this study still has certain limitations, such as a relatively small sample size. In the future, more in - depth research needs to be carried out to improve the relevant conclusions.
DOI: 10.17632/3g4bbkw45j
title: Institutions Matter: Economic Freedom and Income Mobility

description: Intergenerational income mobility — the ability of children to rise above their parents’ economic status — is a key concern in debates over inequality and opportunity. Most research has focused on structural factors like social capital, overlooking the role of economic freedom (market-oriented institutions, lower regulation, secure property rights). Using data on U.S. metropolitan areas, we show that higher economic freedom is strongly associated with greater income mobility. Children in high-freedom areas experience 5% to 12% more upward mobility than those in low-freedom areas. Economic freedom and social capital operate independently, suggesting multiple paths to mobility. These results highlight that reforms aimed at expanding economic freedom can directly improve opportunity — a practical lever for policymakers concerned with improving income mobility.
DOI: 10.17632/3g4bbkw45j.1
title: Institutions Matter: Economic Freedom and Income Mobility

description: Intergenerational income mobility — the ability of children to rise above their parents’ economic status — is a key concern in debates over inequality and opportunity. Most research has focused on structural factors like social capital, overlooking the role of economic freedom (market-oriented institutions, lower regulation, secure property rights). Using data on U.S. metropolitan areas, we show that higher economic freedom is strongly associated with greater income mobility. Children in high-freedom areas experience 5% to 12% more upward mobility than those in low-freedom areas. Economic freedom and social capital operate independently, suggesting multiple paths to mobility. These results highlight that reforms aimed at expanding economic freedom can directly improve opportunity — a practical lever for policymakers concerned with improving income mobility.
DOI: 10.17632/pbf8hyws63
title: Data for Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices

description: Data used in Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices
DOI: 10.17632/pbf8hyws63.1
title: Data for Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices

description: Data used in Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices
DOI: 10.15468/dl.wsxj2m
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tithonia rotundifolia",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020102-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myxmhj
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia abyssinica",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 96 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020103-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xsj8bhrnws
title: Research Data _ LCA wastewater SIR

description: Data includ all information on LCA, Optimisation and wastewater of SIR refinery.
DOI: 10.17632/xsj8bhrnws.1
title: Research Data _ LCA wastewater SIR

description: Data includ all information on LCA, Optimisation and wastewater of SIR refinery.
DOI: 10.17632/3drhzr4yk5
title: CEIDP 2025 Manchester DC Conductivity Characteristics of Core-shell Nanoparticles Filled Epoxy Nanocomposites References

description: The meta-data file contains paper associated references
DOI: 10.17632/3drhzr4yk5.1
title: CEIDP 2025 Manchester DC Conductivity Characteristics of Core-shell Nanoparticles Filled Epoxy Nanocomposites References

description: The meta-data file contains paper associated references
DOI: 10.17632/m8f87ztdyw
title: ImageOP-Crack

description: ImageOP-Crack: The image dataset for crack detection in Brazilian cultural heritage buildings using deep learning 

The ImageOP-Crack is a new public dataset for crack detection in historical buildings.

ImageOP-Crack contains 1,795 high-resolution images (4068 x 3456 pixels) with over 4,000 annotated crack labels, based on photographs collected from cultural heritage churches in the state of Minas Gerais, Brazil.

Data Collection: the data collection process was carried out between May 17 and August 10, 2025. The main objective was to capture images of cracks present on the facades of historical buildings. For this purpose, a Kodak Pixpro AZ255 digital camera was used to photograph 24 religious buildings across four historic Brazilian cities:

1) Ouro Preto: UNESCO World Heritage Site since 1980.
2) São João del-Rei: IPHAN National Heritage Site since 1938. 
3) Tiradentes: IPHAN National Heritage Site since 1938. 
4) Itapecerica: Municipal Heritage Site since 2006. 
 
The photographed historical buildings preserve Brazilian colonial architecture developed during the 18th and 19th centuries. It is important to highlight that the conservation of these Brazilian cultural heritage buildings is a relevant factor, with these historic cities recognized as UNESCO World Heritage Site (Ouro Preto), National Heritage Sites (São João del-Rei and Tiradentes), and Municipal Heritage Site (Itapecerica). Notably, the main historic city photographed was Ouro Preto (OP), with 16 churches, hence, the dataset is named ImageOP-crack.

Data Annotation: subsequently, the images were annotated using the Edge Impulse platform. For each image, labels were assigned, ranging from no label (no crack), one label (one crack), or multiple labels (several cracks in the photograph).

The data are divided into two folders for training and testing deep learning systems. Additionally, the dataset includes a file with annotations for all 4,120 cracks, named info.labels.
DOI: 10.17632/m8f87ztdyw.1
title: ImageOP-Crack

description: ImageOP-Crack: The image dataset for crack detection in Brazilian cultural heritage buildings using deep learning 

The ImageOP-Crack is a new public dataset for crack detection in historical buildings.

ImageOP-Crack contains 1,795 high-resolution images (4068 x 3456 pixels) with over 4,000 annotated crack labels, based on photographs collected from cultural heritage churches in the state of Minas Gerais, Brazil.

Data Collection: the data collection process was carried out between May 17 and August 10, 2025. The main objective was to capture images of cracks present on the facades of historical buildings. For this purpose, a Kodak Pixpro AZ255 digital camera was used to photograph 24 religious buildings across four historic Brazilian cities:

1) Ouro Preto: UNESCO World Heritage Site since 1980.
2) São João del-Rei: IPHAN National Heritage Site since 1938. 
3) Tiradentes: IPHAN National Heritage Site since 1938. 
4) Itapecerica: Municipal Heritage Site since 2006. 
 
The photographed historical buildings preserve Brazilian colonial architecture developed during the 18th and 19th centuries. It is important to highlight that the conservation of these Brazilian cultural heritage buildings is a relevant factor, with these historic cities recognized as UNESCO World Heritage Site (Ouro Preto), National Heritage Sites (São João del-Rei and Tiradentes), and Municipal Heritage Site (Itapecerica). Notably, the main historic city photographed was Ouro Preto (OP), with 16 churches, hence, the dataset is named ImageOP-crack.

Data Annotation: subsequently, the images were annotated using the Edge Impulse platform. For each image, labels were assigned, ranging from no label (no crack), one label (one crack), or multiple labels (several cracks in the photograph).

The data are divided into two folders for training and testing deep learning systems. Additionally, the dataset includes a file with annotations for all 4,120 cracks, named info.labels.
DOI: 10.17632/gpbyn33ppv
title: Friendship Data

description: This data set is on the response for the research study on effect of female friendship on romantic relationship of women, conducted at Bengaluru City India
DOI: 10.17632/gpbyn33ppv.1
title: Friendship Data

description: This data set is on the response for the research study on effect of female friendship on romantic relationship of women, conducted at Bengaluru City India
DOI: 10.15468/dl.x9vtwb
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020105-250827131500795/datasets/export for details.
DOI: 10.17632/2gth2s4p3t
title: Digital image Analysis aided Adulteration detection dataset for All purpose flour Adulterant with chalk powder

description: Adulteration detection of All purpose floor(maida) with chalk dust .
Location:- Mahila,malda,west bengal ,India.
Time:-Time for conducting this project at 10am to 5 pm .
About All purpose flour (maida):-All-purpose (AP) flour, or "plain flour," is a versatile, milled wheat flour with a moderate protein content (typically 9-12%) that provides a balance of structure and lightness, making it suitable for a wide range of baked goods and cooking applications, including breads, cakes, cookies, and thickening sauces.
Chalk dust is used as a adulterant which mixed with all purpose flour and reduce its quality and texture taste and occurs health issues...like gastrointestinal issue and other harmful disease and digestive discomfort.
Mobile details:-
Uploaded pictures clicked by Vivo t2x 5g this phones has 6 GB RAM 128 GB ROM Store upto 3000 photos Mediatek Dimensity 6020 | Octa Core Processor | 2 Powerful Performance. No Hang Phone
50MP + 2MP Rear Camera 8MP Front Camera Attractive Selfies with Clear & Sharp Colours 6.58 inch Full HD+ LCD Display 5000 mAh Battery.
Process:-First buy all purpose flour and chalk .Then grind the chalk dust by the help of Mixture gurinder ,Next two Different types of background such as White and black are used for better identification.Some precautions are needed Also wear masks and gloves ,because chalk dust can causes shortness of breathing,and also use a dry place for this project. Then weight pure sample and devide it into 20 tables and click picture of each of Them. Then All purpose flour are added thoroughly with chalk dust at Different proportions (0%, 5%,10%,15%,20%25%,,30%,35% ,40%,45%,50%100%), and check the Difference and also click their picture. In total 22 sets of samples were prepared and each background have 12sets :-100% pure All purpose flour and 100% chalk dust , and 20sets Of Adulterated samples containing 5-50% chalk dust by weight. A total 20 equal Size cells were drawn on a white paper and black paper sheet (210mm x 297mm ,80gsm) .The samples were spread over The paper in a thin layer .Thus 20 equal Sized cells were located with similar samples.The tatal amount of picture is 
(12 x 20=240) and 2 type of paper sheets so total images are (240 x 2=480).
DOI: 10.17632/2gth2s4p3t.1
title: Digital image Analysis aided Adulteration detection dataset for All purpose flour Adulterant with chalk powder

description: Adulteration detection of All purpose floor(maida) with chalk dust .
Location:- Mahila,malda,west bengal ,India.
Time:-Time for conducting this project at 10am to 5 pm .
About All purpose flour (maida):-All-purpose (AP) flour, or "plain flour," is a versatile, milled wheat flour with a moderate protein content (typically 9-12%) that provides a balance of structure and lightness, making it suitable for a wide range of baked goods and cooking applications, including breads, cakes, cookies, and thickening sauces.
Chalk dust is used as a adulterant which mixed with all purpose flour and reduce its quality and texture taste and occurs health issues...like gastrointestinal issue and other harmful disease and digestive discomfort.
Mobile details:-
Uploaded pictures clicked by Vivo t2x 5g this phones has 6 GB RAM 128 GB ROM Store upto 3000 photos Mediatek Dimensity 6020 | Octa Core Processor | 2 Powerful Performance. No Hang Phone
50MP + 2MP Rear Camera 8MP Front Camera Attractive Selfies with Clear & Sharp Colours 6.58 inch Full HD+ LCD Display 5000 mAh Battery.
Process:-First buy all purpose flour and chalk .Then grind the chalk dust by the help of Mixture gurinder ,Next two Different types of background such as White and black are used for better identification.Some precautions are needed Also wear masks and gloves ,because chalk dust can causes shortness of breathing,and also use a dry place for this project. Then weight pure sample and devide it into 20 tables and click picture of each of Them. Then All purpose flour are added thoroughly with chalk dust at Different proportions (0%, 5%,10%,15%,20%25%,,30%,35% ,40%,45%,50%100%), and check the Difference and also click their picture. In total 22 sets of samples were prepared and each background have 12sets :-100% pure All purpose flour and 100% chalk dust , and 20sets Of Adulterated samples containing 5-50% chalk dust by weight. A total 20 equal Size cells were drawn on a white paper and black paper sheet (210mm x 297mm ,80gsm) .The samples were spread over The paper in a thin layer .Thus 20 equal Sized cells were located with similar samples.The tatal amount of picture is 
(12 x 20=240) and 2 type of paper sheets so total images are (240 x 2=480).
DOI: 10.15468/dl.vuj2sk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cymbella, Cymbella aspera, Cymbella cymbiformis, Cymbella kolbei, Cymbella neocistula, Cymbella subleptoceros, , , Cymbella naviculiformis, Denticula subtilis, Denticula, Denticula sundaysensis, Desmococcus, , Diadesmis, , Diatoma, Diatoma vulgaris, Dichothrix, Dicranochaete, Dinobryon, Diploneis, , Diploneis oblongella, , Discostella, Elakatothrix, Encyonema, Cymbella mesiana, , Encyonema neogracile, , Encyonema ventricosum, Encyonopsis, Encyonopsis leei, Cymbella raytonensis, Encyonopsis subminuta, Entomoneis, Eolimna, Eolimna subminuscula, , Epithemia, , Euglena gracilis, Euglena, Eunotia, Eunotia bilunaris, Eunotia exigua, , Eunotia formica, Eunotia incisa, Eunotia minor, Eunotia rhomboidea, Eutreptiella, , Fistulifera saprophila, Fistulifera, Fottiella, Fragilaria, Fragilaria biceps, Fragilaria crotonensis, Pseudostaurosira, Fragilaria capucina, Synedra, , Navicula crassinervia, Rhopalodia, Frustulia rostrata, Frustulia saxonica, Frustulia, , Geissleria decussis, Geissleria, Geminella, Gloeocapsa, Gloeocystis, Gloeothece, Gomphonema, Gomphonema acuminatum, , Gomphonema angusta, Gomphonema truncatum, Gomphonema clavatum, Gomphonema exilissimum, Gomphonema insigne, Gomphonema italicum, Gomphonema lagenula, Gomphonema laticollum, Gomphonema minutum, Gomphonema parvulum, Gomphonema pseudoaugur, Gomphonema vibrio, Gomphonema venusta, Gongrosira, Gymnodinium, Gyrosigma, Gyrosigma acuminatum, Gyrosigma attenuatum, Gyrosigma rautenbachiae, Hantzschia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020106-250827131500795/datasets/export for details.
DOI: 10.17632/2wn7c48dtp.3
title: Bangla Voice Dataset: Simple, Complex, and Compound Structures

description: The dataset is a comprehensive resource designed for linguistic analysis, natural language processing (NLP), and speech recognition tasks specifically tailored for the Bangla language. It comprises the following key features:

Textual Data:

Sentence Types: The corpus includes a balanced collection of simple, complex, and compound sentences, carefully curated to represent diverse syntactic structures and real-world language usage in Bangla.
Diversity: Sentences cover a wide range of topics and contexts, ensuring linguistic richness and variety.
Voice Data:

Audio Recordings: Each sentence is paired with high-quality voice recordings by native Bangla speakers, ensuring accurate pronunciation, intonation, and regional linguistic nuances.

Annotation:
Sentence Labeling: Each sentence is tagged as simple, complex, or compound, aiding in syntactic analysis and supervised learning applications.
Applications:
Speech Recognition and Synthesis: Ideal for training and evaluating speech-to-text and text-to-speech systems for Bangla.
Language Modeling: Supports NLP tasks such as machine translation, sentiment analysis, and syntactic parsing.
Educational Use: Useful for linguistic research, Bangla grammar teaching, and phonetic studies.
Compliance: The dataset adheres to ethical guidelines, ensuring informed consent from all contributors.
This dataset serves as a valuable asset for researchers, developers, and educators seeking to advance technologies and studies involving the Bangla language.
DOI: 10.17632/nw7yd5hvg3.4
title: Dataset_A joint distribution–random forest framework

description: This dataset supports the study of “Spatiotemporal modelling of wind erosion potential risk under air density variations: A joint distribution-random forest framework“. The dataset contains seasonal and spatially resolved calculations of air density, wind speed, and occurrence probability of wind erosion derived from meteorological station data and statistical modeling.

Specifically, the dataset includes:

1. Seasonal mean air density at meteorological stations within the interpolation region.
2. Input variables used for constructing the random forest model.
3. Calculation of threshold wind velocity.
4. Wind speed distribution parameters derived from the joint probability density functions (JPDFs) of air density and wind speed under different seasonal mean air density conditions.
5. Predicted wind speed distribution parameters for each pixel and the corresponding occurrence probability of wind erosion calculated by combining the threshold wind velocity.
6. Seasonal variation in the occurrence probability of wind erosion for each pixel.
7. Seasonal variation of maximum occurrence probability of wind erosion for each pixel and the corresponding season of the maximum value

The data are provided in structured folders with descriptive filenames. All variables are documented in the accompanying CSV files, and results are intended to support spatial analysis, model validation, and future environmental applications related to wind erosion under varying climate conditions.
DOI: 10.17632/tsbskvf5gm
title: sue332211

description: data for "Emerging capital market distortions, capital bias and total factor productivity in China"
DOI: 10.17632/tsbskvf5gm.1
title: sue332211

description: data for "Emerging capital market distortions, capital bias and total factor productivity in China"