cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/whit-c170-32596
title: Model of amphibian, Southern California, 1929

description: 14 photographs of model of amphibious airplane, Southern California, 1929. "Subject: Model of Amphibean [sic]; Agency: Albert Essig, 1007 - so[uth] grand; Client: Douglas Aircraft Corp[oration]; Original print order: # 1-2-3., all others; Size: 1 E[ach] 11x14, 2 Each 8x10; Finish: Dull, Gloss[y], gl[ossy], 8x10 gl[ossy]; Mount: Buff, ch[ar]ge only 11-8x10 at 50¢ ea[ch]; Re-order: 1 ea[ch] 6, 12, 14, 12 ea[ch] # 12, 6, 14,; Year: 1929; Job: 12-31-170" -- on envelope front. "Operator's report: Dick; Original photographs: 3, 11; At studio: 11x14 m[oun]t[e]d @ 3 00, 8x10 @ 2 00; Mount: 9.00, 22.00; Extra charges: Essig" -- on envelope back.
DOI: 10.15468/dl.egvwme
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Ceroxylon alpinum Bonpl. ex DC.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000210-171107215919691/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-33216
title: Gillfillan Radio, Clover Field [Santa Monica Airport], Santa Monica, CA, 1926

description: 4 photographs of airplane in sky and with men on ground, Santa Monica, CA, 1926. "Subject: Gillfillan Radio, Clover Field; Client: Dan Miner; Year: 1926; Job: 612-15-37" -on envelope front.
DOI: 10.15468/dl.2pd994
title: Occurrence Download

description: A dataset containing 250200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippolais polyglotta (Vieillot, 1817)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 250200 records from 2813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003912-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d3d9wntsf6
title: Jermain et al 2025 Bacillus velezensis LoaP Promotes Antitermination by Antagonizing NusA

description: The transcription factor NusG is essential for the bacterial transcription elongation complex (TEC). During elongation, NusG dynamically interacts with other proteins, affecting transcription-translation coupling, processivity, and termination. NusG is integral to antitermination complexes, where it associates with other factors to modify the TEC such that it bypasses termination sites. In Gammaproteobacteria, these complexes enhance the expression of ribosomal RNA operons, bacteriophage operons, and CRISPR arrays. Specialized NusG paralogs, such as LoaP, RfaH, and UpxY, are believed to form their own unique antitermination complexes. RfaH, the only well-studied paralog, binds to a paused TEC via a specific nontemplate DNA sequence. The RfaH-bound TEC then enhances transcription-translation coupling while also preventing Rho termination. However, it is unclear whether the other NusG paralogs use similar mechanisms, nor have antitermination complexes been investigated for Gram-positive bacteria. Previously, Bacillus velezensis LoaP was shown to enhance transcription of the difficidin antibiotic synthesis operon, but its antitermination determinants were unknown. In this study, we purified RNA polymerase and transcription factors, and reconstituted difficidin operon (dfn) antitermination activity in vitro. The dfn 5’ leader region contains a small RNA hairpin essential for antitermination in vivo and in vitro, and an intrinsic terminator that is highly dependent on NusA. The antitermination activity of LoaP emanates from its ability to specifically antagonize NusA; no other factors are required. These findings demonstrate the basic requirements of the LoaP class of NusG paralogs and indicate that the LoaP antitermination mechanism differs significantly from that of the RfaH paradigm.
DOI: 10.17632/d3d9wntsf6.1
title: Jermain et al 2025 Bacillus velezensis LoaP Promotes Antitermination by Antagonizing NusA

description: The transcription factor NusG is essential for the bacterial transcription elongation complex (TEC). During elongation, NusG dynamically interacts with other proteins, affecting transcription-translation coupling, processivity, and termination. NusG is integral to antitermination complexes, where it associates with other factors to modify the TEC such that it bypasses termination sites. In Gammaproteobacteria, these complexes enhance the expression of ribosomal RNA operons, bacteriophage operons, and CRISPR arrays. Specialized NusG paralogs, such as LoaP, RfaH, and UpxY, are believed to form their own unique antitermination complexes. RfaH, the only well-studied paralog, binds to a paused TEC via a specific nontemplate DNA sequence. The RfaH-bound TEC then enhances transcription-translation coupling while also preventing Rho termination. However, it is unclear whether the other NusG paralogs use similar mechanisms, nor have antitermination complexes been investigated for Gram-positive bacteria. Previously, Bacillus velezensis LoaP was shown to enhance transcription of the difficidin antibiotic synthesis operon, but its antitermination determinants were unknown. In this study, we purified RNA polymerase and transcription factors, and reconstituted difficidin operon (dfn) antitermination activity in vitro. The dfn 5’ leader region contains a small RNA hairpin essential for antitermination in vivo and in vitro, and an intrinsic terminator that is highly dependent on NusA. The antitermination activity of LoaP emanates from its ability to specifically antagonize NusA; no other factors are required. These findings demonstrate the basic requirements of the LoaP class of NusG paralogs and indicate that the LoaP antitermination mechanism differs significantly from that of the RfaH paradigm.
DOI: 10.17632/4y73fcxm4p
title: Dataset

description: Bio-oil Yield Dataset
DOI: 10.17632/4y73fcxm4p.1
title: Dataset

description: Bio-oil Yield Dataset
DOI: 10.17632/ndp3my6jr6
title: Supplemental information: The airway epithelial muco-inflammatory response to IL-13 is exacerbated in cystic fibrosis

description: Supplemental materials and methods for The airway epithelial muco-inflammatory response to IL-13 is exacerbated in cystic fibrosis.
DOI: 10.15468/dl.m9n6hg
title: Occurrence Download

description: A dataset containing 42854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corophium volutator"
 ]
}

 The dataset includes 42854 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001592-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ndp3my6jr6.1
title: Supplemental information: The airway epithelial muco-inflammatory response to IL-13 is exacerbated in cystic fibrosis

description: Supplemental materials and methods for The airway epithelial muco-inflammatory response to IL-13 is exacerbated in cystic fibrosis.
DOI: 10.17632/k6jyzn4mwj
title: Findings Table

description: Findings
DOI: 10.17632/k6jyzn4mwj.1
title: Findings Table

description: Findings
DOI: 10.17632/rxzjvj2fcy
title: Pudendal nerve block for voiding complications

description: Post-hemorrhoidectomy urinary symptoms are common, with an incidence reaching 50% in some studies. Pudendal nerve block was used to alleviate pain and urinary symptoms after perineal surgeries. This study explored the effect of trans-perineal pudendal nerve block on the patient experience after hemorrhoidectomy, regarding urinary symptoms and analgesic requirements. This study included 66 patients randomly allocated into two equal groups. In group P, ultrasound-guided pudendal nerve block was applied after induction of anesthesia and lithotomy position, while no block was applied in group C.
DOI: 10.17632/rxzjvj2fcy.1
title: Pudendal nerve block for voiding complications

description: Post-hemorrhoidectomy urinary symptoms are common, with an incidence reaching 50% in some studies. Pudendal nerve block was used to alleviate pain and urinary symptoms after perineal surgeries. This study explored the effect of trans-perineal pudendal nerve block on the patient experience after hemorrhoidectomy, regarding urinary symptoms and analgesic requirements. This study included 66 patients randomly allocated into two equal groups. In group P, ultrasound-guided pudendal nerve block was applied after induction of anesthesia and lithotomy position, while no block was applied in group C.
DOI: 10.17632/hpcf9psdy7
title: Balanced and Augmented Version of the HAM10000 Skin Lesion Dataset (Derived & Corrected)

description: Overview
The HAM10000 (“Human Against Machine with 10,000 training images”) dataset is one of the most widely used collections for skin lesion classification. It contains 10,015 dermatoscopic images categorized into seven diagnostic classes: Melanocytic Nevi (NV), Melanoma (MEL), Benign Keratosis (BKL), Basal Cell Carcinoma (BCC), Actinic Keratoses (AKIEC), Vascular Lesions (VASC), and Dermatofibroma (DF).
One of the major challenges in the original HAM10000 dataset is its highly imbalanced class distribution. The NV class alone makes up about 67% of all samples, while the minority classes DF and VASC together represent less than 3%. This imbalance leads to biased models that perform well on common classes but poorly on rare lesions. Many researchers tried to fix this by heavily upsampling small classes for example, increasing a 150-image class to over 1000 samples which often makes models overfitted and unrealistic.
This derived version was created to offer a balanced and scientifically responsible alternative. It uses a combination of undersampling for large classes and controlled augmentation for small ones. A target of roughly 500–650 training samples per class was selected to maintain fairness while preserving data diversity.
Larger classes such as NV, MEL, and BKL were undersampled to around 500 samples each to prevent majority dominance. Smaller classes like AKIEC, DF, and VASC were augmented carefully using realistic transformations such as random rotations (±30°), horizontal/vertical flips, scaling (0.8–1.2×), brightness and contrast adjustments (±20%), and mild Gaussian noise. This ensured that no class was artificially inflated or distorted.
The final dataset structure is as follows:
AKIEC – Train: 654, Test: 150
BCC – Train: 500, Test: 150
BKL – Train: 500, Test: 150
DF – Train: 537, Test: 115
MEL – Train: 500, Test: 150
NV – Train: 500, Test: 150
VASC – Train: 568, Test: 142
These numbers create a nearly uniform and balanced dataset without losing important image diversity. The slight variations between class sizes (500–650) are intentional and defendable. They help preserve genuine data from minority classes while preventing excessive synthetic augmentation. Forcing all classes to have an identical count could remove valuable real samples or produce too many artificial images, which would reduce model generalization.
This version provides a fair, realistic, and reproducible dataset for training skin lesion classification models. It reduces overfitting, improves class-level balance, and ensures better generalization. Researchers can confidently use this dataset to evaluate fairness and robustness in medical image classification tasks.
DOI: 10.17632/hpcf9psdy7.1
title: Balanced and Augmented Version of the HAM10000 Skin Lesion Dataset (Derived & Corrected)

description: Overview
The HAM10000 (“Human Against Machine with 10,000 training images”) dataset is one of the most widely used collections for skin lesion classification. It contains 10,015 dermatoscopic images categorized into seven diagnostic classes: Melanocytic Nevi (NV), Melanoma (MEL), Benign Keratosis (BKL), Basal Cell Carcinoma (BCC), Actinic Keratoses (AKIEC), Vascular Lesions (VASC), and Dermatofibroma (DF).
One of the major challenges in the original HAM10000 dataset is its highly imbalanced class distribution. The NV class alone makes up about 67% of all samples, while the minority classes DF and VASC together represent less than 3%. This imbalance leads to biased models that perform well on common classes but poorly on rare lesions. Many researchers tried to fix this by heavily upsampling small classes for example, increasing a 150-image class to over 1000 samples which often makes models overfitted and unrealistic.
This derived version was created to offer a balanced and scientifically responsible alternative. It uses a combination of undersampling for large classes and controlled augmentation for small ones. A target of roughly 500–650 training samples per class was selected to maintain fairness while preserving data diversity.
Larger classes such as NV, MEL, and BKL were undersampled to around 500 samples each to prevent majority dominance. Smaller classes like AKIEC, DF, and VASC were augmented carefully using realistic transformations such as random rotations (±30°), horizontal/vertical flips, scaling (0.8–1.2×), brightness and contrast adjustments (±20%), and mild Gaussian noise. This ensured that no class was artificially inflated or distorted.
The final dataset structure is as follows:
AKIEC – Train: 654, Test: 150
BCC – Train: 500, Test: 150
BKL – Train: 500, Test: 150
DF – Train: 537, Test: 115
MEL – Train: 500, Test: 150
NV – Train: 500, Test: 150
VASC – Train: 568, Test: 142
These numbers create a nearly uniform and balanced dataset without losing important image diversity. The slight variations between class sizes (500–650) are intentional and defendable. They help preserve genuine data from minority classes while preventing excessive synthetic augmentation. Forcing all classes to have an identical count could remove valuable real samples or produce too many artificial images, which would reduce model generalization.
This version provides a fair, realistic, and reproducible dataset for training skin lesion classification models. It reduces overfitting, improves class-level balance, and ensures better generalization. Researchers can confidently use this dataset to evaluate fairness and robustness in medical image classification tasks.
DOI: 10.17632/f6w8m4zhjh
title: Building Data set

description: The current dataset is prepared to feed ML algorithms for finding emergency exits in buildings. Emergency exits are the two doors on each floor that connect an air-lock space to the stairwell, and the pattern is quite similar in most high-rise buildings. This led to the selection of the following two attributes: 'the distance to the nearest door' and 'the distance to the nearest stairwell'.
The datasets comprise manually labeled data with 1732 door samples from four high-rise building models, containing 1517 'non-Emergency Exit' and 215 'Emergency Exit', each with the two mentioned attributes.
DOI: 10.17632/f6w8m4zhjh.3
title: Building Data set

description: The current dataset is prepared to feed ML algorithms for finding emergency exits in buildings. Emergency exits are the two doors on each floor that connect an air-lock space to the stairwell, and the pattern is quite similar in most high-rise buildings. This led to the selection of the following two attributes: 'the distance to the nearest door' and 'the distance to the nearest stairwell'.
The datasets comprise manually labeled data with 1732 door samples from four high-rise building models, containing 1517 'non-Emergency Exit' and 215 'Emergency Exit', each with the two mentioned attributes.
DOI: 10.17632/npc3gjmd44
title: EEG+NIRS data set

description: The EEG+NIRS dataset was collected at Atatürk University, Faculty of Sports Science. Eight healthy volunteers (five males and three females), aged between 19 and 38 years, participated in the experiments conducted from January 3, 2022, to April 15, 2022. Prior to the commencement of the study, all participants were thoroughly informed about the experimental procedures, potential risks, and their rights, both verbally and through detailed written information forms.
DOI: 10.17632/npc3gjmd44.1
title: EEG+NIRS data set

description: The EEG+NIRS dataset was collected at Atatürk University, Faculty of Sports Science. Eight healthy volunteers (five males and three females), aged between 19 and 38 years, participated in the experiments conducted from January 3, 2022, to April 15, 2022. Prior to the commencement of the study, all participants were thoroughly informed about the experimental procedures, potential risks, and their rights, both verbally and through detailed written information forms.
DOI: 10.17632/ttzvpkj578
title: Experimental Cavitation Data from ex vivo Normothermically Perfused Porcine Liver using Protein Cavitation Nuclei and Focused Ultrasound

description: Calibrated array element signals (in units of Pa) received using an L7-4 linear array (ATL Ultrasound, Bothell, WA, USA) during a focused ultrasound treatment of a porcine liver using protein cavitation nuclei (pCaN) conducted on the 3rd May 2022.

The MATLAB data file (Liver_PCaN_L74_calibrated_data_03May2022.mat) contains the following variables:
 Fs: data sampling frequency (25 MHz)
 Tp: Time stamp of each pulse [s]
 rfData: array element signals (number of array elements, number of samples, number of pulses) [Pa]
 what: description of the data.
DOI: 10.17632/ttzvpkj578.1
title: Experimental Cavitation Data from ex vivo Normothermically Perfused Porcine Liver using Protein Cavitation Nuclei and Focused Ultrasound

description: Calibrated array element signals (in units of Pa) received using an L7-4 linear array (ATL Ultrasound, Bothell, WA, USA) during a focused ultrasound treatment of a porcine liver using protein cavitation nuclei (pCaN) conducted on the 3rd May 2022.

The MATLAB data file (Liver_PCaN_L74_calibrated_data_03May2022.mat) contains the following variables:
 Fs: data sampling frequency (25 MHz)
 Tp: Time stamp of each pulse [s]
 rfData: array element signals (number of array elements, number of samples, number of pulses) [Pa]
 what: description of the data.
DOI: 10.17632/2ncpwnwbnv
title: Does bond market liberalization mitigate corporate risk-taking? Evidence from China

description: This replication package contains all the data, code, and instructions for the article " Does bond market liberalization mitigate corporate risk-taking? Evidence from China." The package is designed for use with Stata.
DOI: 10.17632/2ncpwnwbnv.1
title: Does bond market liberalization mitigate corporate risk-taking? Evidence from China

description: This replication package contains all the data, code, and instructions for the article " Does bond market liberalization mitigate corporate risk-taking? Evidence from China." The package is designed for use with Stata.
DOI: 10.17632/vbpmhtf748
title: Scenario analysis of crop-livestock integration system for increased high-quality fodder productivity among smallholder cattle farmers in Rwanda

description: here is a perennial shortage of fodder among smallholder farmers in most sub-Saharan countries, including Rwanda. Forages and crop residues productivity per day were investigated in terms of DM, CP, and ME productivity vis-à-vis their requirement by existing cattle in the volcanic highlands and the eastern savanna regions of Rwanda. Different production scenarios were predicted if farmers adopt Mucuna pruriens or Desmodium intortum in an intercropping system and accommodate either Napier Cenchrus purpureus, Napier Kakamega 1, Brachiaria molato2, or the Napier pakchong-1 variety on their farm boundaries. Data on cattle requirements and fodder productivity were analyzed using a general linear regression model in SPSS. A paired sample t-test was conducted to examine the results before and after predicting additional biomass productivity. Results showed that the current perennial fodder productivity was 784 kg DM, 48 860 g CP, and 3 497 MJ (ME), while their yearly requirement by existing cattle was 3 960 kg DM, 178 704 g CP, and ME of 16 776 MJ. Predictive values of the intercropping system show that the productivity of fodder annually can increase its DM content more than 5 times, from 784 to 4 878 kg DM/year, CP and ME content in fodder can increase 10 times, from 48 860 g CP to 662 112 g CP/year and from 3 497mj to 34 920 MJ per year. The present study proposed planting on contour strips a grass fodder that yields at least 60tons DM per ha per year, and to use a cover fodder that yields around 20 tons of dry matter per ha per year. The adoption of the crop/fodder integration system would lead to the year-round availability of fodder for livestock across all seasons.
DOI: 10.17632/vbpmhtf748.1
title: Scenario analysis of crop-livestock integration system for increased high-quality fodder productivity among smallholder cattle farmers in Rwanda

description: here is a perennial shortage of fodder among smallholder farmers in most sub-Saharan countries, including Rwanda. Forages and crop residues productivity per day were investigated in terms of DM, CP, and ME productivity vis-à-vis their requirement by existing cattle in the volcanic highlands and the eastern savanna regions of Rwanda. Different production scenarios were predicted if farmers adopt Mucuna pruriens or Desmodium intortum in an intercropping system and accommodate either Napier Cenchrus purpureus, Napier Kakamega 1, Brachiaria molato2, or the Napier pakchong-1 variety on their farm boundaries. Data on cattle requirements and fodder productivity were analyzed using a general linear regression model in SPSS. A paired sample t-test was conducted to examine the results before and after predicting additional biomass productivity. Results showed that the current perennial fodder productivity was 784 kg DM, 48 860 g CP, and 3 497 MJ (ME), while their yearly requirement by existing cattle was 3 960 kg DM, 178 704 g CP, and ME of 16 776 MJ. Predictive values of the intercropping system show that the productivity of fodder annually can increase its DM content more than 5 times, from 784 to 4 878 kg DM/year, CP and ME content in fodder can increase 10 times, from 48 860 g CP to 662 112 g CP/year and from 3 497mj to 34 920 MJ per year. The present study proposed planting on contour strips a grass fodder that yields at least 60tons DM per ha per year, and to use a cover fodder that yields around 20 tons of dry matter per ha per year. The adoption of the crop/fodder integration system would lead to the year-round availability of fodder for livestock across all seasons.
DOI: 10.17632/kmr6j3s2h7.1
title: scRNA-seq: Effect of age, lysosomal degradation and mitochondrial replication on mouse hematopoietic stem cell

description: Mouse hematopoietic stem cell (HSC) were isolated from bone marrow by FACS sorting of lineage negative (Lin-) Sca1+ cKit+ (LSK) CD150+CD48- cells from 8 weeks (young) or 20 month old (old) mice to be cultured 16hours ex-vivo in presence or not of ConA (40 nM) or ddc (40uM). All conditions were assessed by scRNA-seq in adddition to freshky isolated HSC from young or old mice. 
Note: HSC from young mice cultured 16h without drug were labelled "Old-like_mHSC_Cultured".
For each samples, a barcodes.tsv, a features.tsc and a matrix.mtx are available.
DOI: 10.15468/dl.5eh2hw
title: Occurrence Download

description: A dataset containing 615 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Lithobates catesbeianus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 615 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001594-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.