cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4fdr3rt6y7.1
title: DATA SET FOR QUANTIFICATION OF TOTAL PHENOLIC COMPOUNDS, FLAVONOIDS, ANTIOXIDANT ACTIVITY, IN VITRO ENZYMATIC INHIBITION AND HEMOLYTIC ACTIVITY OF ANDIROBA (CARAPA GUIANENSIS AUBL) INDUSTRIAL WASTE

description: This study demonstrated the bioactive potential of the ethanolic extract of the industrial residue of andiroba (Carapa guianensis), focusing on its pharmaceutical applicability in enzyme inhibition. Analyses were performed to quantify total phenols and flavonoids, in addition to in vitro assays to evaluate the antioxidant activity by the DPPH and FRAP methods and the inhibition of the enzymes α-amylase and lipase. The amount of phenols and flavonoids in the sample did not show significant results. However, the extract showed antioxidant activity by the DPPH method, with inhibition of 45.16 ± 7.43% at a concentration of 10 mg/mL and IC50 of 11.57 ± 1.05 mg/mL. The FRAP method showed antioxidant capacity, with inhibition of 238.90 ± 8.78% and IC₅₀ of 0.51 ± 0.07 mg/mL. Furthermore, the extract showed α-amylase inhibitory activity, reaching 65.38% inhibition at 25 mg/mL, with IC₅₀ of 17.52 ± 4.57 mg/mL. The extract also demonstrated inhibition of the lipase enzyme with a percentage of 53.17% at 25 mg/mL and IC₅₀ of 19.44 ± 0.16 mg/mL. These findings suggest that the extract contains compounds capable of modulating the enzymatic activity involved in the digestion of carbohydrates and lipids, which may contribute to postprandial glycemic control. Therefore, the ethanolic extract of andiroba residue shows promise for antidiabetic strategies and highlights the sustainable use of industrial waste with pharmaceutical potential.
DOI: 10.15468/dl.az46kw
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ischnocnema lactea (Miranda-Ribeiro, 1923)"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007394-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c9v7p72r6k.1
title: Supplementary materials for Article: Efficacy and safety of dupilumab in pediatric patients aged 6 months to 11 years with erythrodermic atopic dermatitis: A post-hoc analysis of three clinical trials

description: Supplementary materials for Article: Efficacy and safety of dupilumab in pediatric patients aged 6 months to 11 years with erythrodermic atopic dermatitis: A post-hoc analysis of three clinical trials
Authors: Amy S. Paller, MD, Elaine C. Siegfried, MD, Michael J Cork, BS, MB, PhD, FRCP, Kenji Kabashima, MD, PhD, Peter D. Arkwright, MD, PhD, Edyta Gębska, MD, PhD, Zhen Chen, PhD, Joseph Zahn, MD, Ana B. Rossi, MD, CMD
Journal: Journal of the American Academy of Dermatology (JAAD)
 
- Supplements
- Plain Language Summary
- Author narrated video abstract
DOI: 10.15468/dl.t5yzyy
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Amara discors Kirby, 1837",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 77 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007396-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15464760
title: Context-specific mutation probability models from Evolutionary patterns of context-specific mutation spectra reveal conserved mutational processes across eukaryotes (Entry 1 of 4)

description: Data generated by Evolutionary patterns of context-specific mutation spectra reveal conserved mutational processes across eukaryotes. Mutational models derived from whole-genome polymorphism data for 113 species; generated using Baymer. There are three files for each species (339 files total): and ALL, ODD, and EVEN model output summaries, depending on whether all, even, or odd basepairs were used to generate the indicated model. They follow the naming pattern {Species}.non_coding.{ALL/EVEN/ODD}.final_posterior_summaries.json.gz.
DOI: 10.15468/dl.u6synj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Ceratitis cosyra (Walker, 1849)"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007397-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xy5bzb
title: Occurrence Download

description: A dataset containing 236030 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is KwaZulu-Natal Museum-Entomology-collection"
 ]
}

 The dataset includes 236030 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007378-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bd4kw2dj8r.1
title: DBC-RGB

description: The fractal dimension (FD) is a quantitative parameter widely used to analyze digital images in many application fields such as image segmentation, feature extraction, object recognition, texture analysis, and image compression and denoising, among many others. A variety of algorithms have been previously proposed for estimating the FD, however most of them are limited to binary or gray-scale images only. In recent years, several authors have proposed algorithms for computing the FD of color images. Nevertheless, almost all these methods are computationally inefficient when analyzing large images. Nowadays, color images can be very large in size, and there is a growing trend toward even larger datasets. This implies that the time required to calculate the FD of such datasets can become extremely long. The software DBC-RGB is a very efficient GPU algorithm, implemented in CUDA, for computing the FD of RGB color images. The software DBC-RGB is an extension to RGB of the differential box-counting (DBC) algorithm for gray-scale images. The software DBC-RGB simplifies the box-counting computation to very simple operations which are easily combined across iterations. DBC-RGB performed very well and achieved speedups of up to 7.9× and 6,172.6× regarding the reference GPU and CPU algorithms for computing the FD of RGB images, respectively. In addition, DBC-RGB achieved average error rates similar to those obtained by these two reference algorithms when estimating the FD for synthetic images with known FD values, and even outperformed them when processing large images. Therefore, the software DBC-RGB offers a highly reliable and ultra-fast solution for estimating the FD of color images.
DOI: 10.17632/mgknm534xc.1
title: From digital wallets to social dividends: How digital financial inclusion drives household prosocial behavior in China

description: This replication folder corresponds to the empirical results presented in the paper “From Digital Wallets to Social Dividends: How Digital Financial Inclusion Drives Household Prosocial Behavior in China” by Shujin Zhu, He Chen, and Yiding Tang.
DOI: 10.17632/bd4kw2dj8r
title: DBC-RGB

description: The fractal dimension (FD) is a quantitative parameter widely used to analyze digital images in many application fields such as image segmentation, feature extraction, object recognition, texture analysis, and image compression and denoising, among many others. A variety of algorithms have been previously proposed for estimating the FD, however most of them are limited to binary or gray-scale images only. In recent years, several authors have proposed algorithms for computing the FD of color images. Nevertheless, almost all these methods are computationally inefficient when analyzing large images. Nowadays, color images can be very large in size, and there is a growing trend toward even larger datasets. This implies that the time required to calculate the FD of such datasets can become extremely long. The software DBC-RGB is a very efficient GPU algorithm, implemented in CUDA, for computing the FD of RGB color images. The software DBC-RGB is an extension to RGB of the differential box-counting (DBC) algorithm for gray-scale images. The software DBC-RGB simplifies the box-counting computation to very simple operations which are easily combined across iterations. DBC-RGB performed very well and achieved speedups of up to 7.9× and 6,172.6× regarding the reference GPU and CPU algorithms for computing the FD of RGB images, respectively. In addition, DBC-RGB achieved average error rates similar to those obtained by these two reference algorithms when estimating the FD for synthetic images with known FD values, and even outperformed them when processing large images. Therefore, the software DBC-RGB offers a highly reliable and ultra-fast solution for estimating the FD of color images.
DOI: 10.17632/bd4kw2dj8r.2
title: DBC-RGB

description: The fractal dimension (FD) is a quantitative parameter widely used to analyze digital images in many application fields such as image segmentation, feature extraction, object recognition, texture analysis, and image compression and denoising, among many others. A variety of algorithms have been previously proposed for estimating the FD, however most of them are limited to binary or gray-scale images only. In recent years, several authors have proposed algorithms for computing the FD of color images. Nevertheless, almost all these methods are computationally inefficient when analyzing large images. Nowadays, color images can be very large in size, and there is a growing trend toward even larger datasets. This implies that the time required to calculate the FD of such datasets can become extremely long. The software DBC-RGB is a very efficient GPU algorithm, implemented in CUDA, for computing the FD of RGB color images. The software DBC-RGB is an extension to RGB of the differential box-counting (DBC) algorithm for gray-scale images. The software DBC-RGB simplifies the box-counting computation to very simple operations which are easily combined across iterations. DBC-RGB performed very well and achieved speedups of up to 7.9× and 6,172.6× regarding the reference GPU and CPU algorithms for computing the FD of RGB images, respectively. In addition, DBC-RGB achieved average error rates similar to those obtained by these two reference algorithms when estimating the FD for synthetic images with known FD values, and even outperformed them when processing large images. Therefore, the software DBC-RGB offers a highly reliable and ultra-fast solution for estimating the FD of color images.
DOI: 10.17632/97f3yffwz9.1
title: Multi-behavioral fingerprints can identify the mode of action for neuroactive environmental chemicals _ VAMR2

description: Data and Code Description
This dataset contains zebrafish behavior metrics and R scripts for analysis and visualization. The data includes 26 metrics, such as baseline activity (BSL1-4), visual (VSR, VMR) and acoustic startle responses (ASR), habituation (ASH), interstimulus intervals (ISI, IEI), inter-bout intervals (IBI), and memory retention (ASR2/3), measured in pixels per second.
Nonparametric bootstrapping was used for statistical analyses, along with Kruskal-Wallis tests and Benjamini-Hochberg corrections for multiple comparisons. Effect sizes were calculated using Strictly Standardized Median Differences (SSMD).
R scripts are provided to generate cloud plots, SSMD heatmaps, and multidimensional scaling (MDS) plots. KNIME was used for data processing, while all visualizations were created in R Studio.
(Quantified using custom KNIME workflows (version 4.6.3) in combination with R scripts (R Core Team 2023) for statistical analysis and visualization. Statistical Analysis and Visualization Tools: Employed R add-on packages ggplot2 and RColorBrewer).
DOI: 10.17632/97f3yffwz9.2
title: Multi-behavioral fingerprints can identify the mode of action for neuroactive environmental chemicals _ VAMR2

description: Data and Code Description
This dataset contains zebrafish behavior metrics and R scripts for analysis and visualization. The data includes 26 metrics, such as baseline activity (BSL1-4), visual (VSR, VMR) and acoustic startle responses (ASR), habituation (ASH), interstimulus intervals (ISI, IEI), inter-bout intervals (IBI), and memory retention (ASR2/3), measured in pixels per second.
Nonparametric bootstrapping was used for statistical analyses, along with Kruskal-Wallis tests and Benjamini-Hochberg corrections for multiple comparisons. Effect sizes were calculated using Strictly Standardized Median Differences (SSMD).
R scripts are provided to generate cloud plots, SSMD heatmaps, and multidimensional scaling (MDS) plots. KNIME was used for data processing, while all visualizations were created in R Studio.
(Quantified using custom KNIME workflows (version 4.6.3) in combination with R scripts (R Core Team 2023) for statistical analysis and visualization. Statistical Analysis and Visualization Tools: Employed R add-on packages ggplot2 and RColorBrewer).
DOI: 10.15468/dl.4ud3f3
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.14.31_2",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007398-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p4kc8
title: Occurrence Download

description: A dataset containing 50805 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant Specimen from Herbarium (NAS) in China, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences"
 ]
}

 The dataset includes 50805 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007388-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh9tg8
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bembidion grapii Gyllenhal, 1827",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 290 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007399-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/23kmz4cz47.1
title: Across-arc variations of potassium isotope compositions in a fluid-dominated subduction zone and implications for global potassium recycling-Data

description: Data file for "Across-arc variations of potassium isotope compositions in a fluid-dominated subduction zone and implications for global potassium recycling". 
Included are data for supplementary Tables S1-S2. Table S1 reports the K isotopic compositions of the Kamchatka arc lavas. Table S2 shows the compiled Major, trace elements, stable and radiogenic isotopic compositions of Kamchatka arc lavas.
DOI: 10.15468/dl.43xdp2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Mozambique",
 "GadmGid is one of (MOZ.6_1, MOZ.2_1, MOZ.3_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tragelaphus scriptus (Pallas, 1766)"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007403-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phztdg
title: Occurrence Download

description: A dataset containing 18228 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius deliciosus (L.) Gray"
 ]
}

 The dataset includes 18228 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007402-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49tzec
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus gamboana Martínez",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007400-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sksz3648np.2
title: Gene expression of immune and neuroendocrine-related genes and biometric data of small-spotted catshark embryos (Scyliorhinus canicula) after six days of exposure to deoxygenation and hypoxia.

description: The global oxygen inventory has been declining worldwide, primarily due to climate change. However, the effects of low oxygen levels on shark neuroendocrinology and immunology are not understood. This study investigated the neuroendocrine response and immune competence of the head and trunk tissues of early (EE; before pre-hatching) and late embryos (LE) of small-spotted catshark (Scyliorhinus canicula) under six days of deoxygenation (DO; 93% O2 of air saturation) and hypoxic conditions (26% O2). Catshark embryos were resilient to DO, showing only changes in gene expression for melanotransferrin and a 10% decline in survival. Under hypoxia, growth remained unaffected; however, survival decreased by 31% and exceptionally in LE, highlighting inadequate adaptive responses. The developmental stage affected the expression of immune response genes, pointing to critical response mechanisms. The EE stage showed a greater stress response under hypoxia compared to LE, with several changed immune genes, while hypoxia-inducible factor 1 alpha levels increased. The energy demands associated with coping with hypoxia compromised immune function, raising concerns about long-term species survival under climate change. These findings highlight the need for further research on sharks' resilience to environmental challenges and the interactions of metabolic pathways.
Here we show the gene expression (expressed as ΔΔCT) of immune and neuroendocrine-related genes in head and trunk samples of early (EE) and late embryos (LE), and biometric data of small-spotted catshark (Scyliorhinus canicula) after six days of exposure to deoxygenation (air saturation = 93%) and hypoxia (air saturation = 26%).
DOI: 10.17632/23kmz4cz47.2
title: Across-arc variations of potassium isotope compositions in a fluid-dominated subduction zone and implications for global potassium recycling-Data

description: Data file for "Across-arc variations of potassium isotope compositions in a fluid-dominated subduction zone and implications for global potassium recycling". 
Included are data for supplementary Tables S1-S2. Table S1 reports the K isotopic compositions of the Kamchatka arc lavas. Table S2 shows the compiled Major, trace elements, stable and radiogenic isotopic compositions of Kamchatka arc lavas.
DOI: 10.17632/sksz3648np.1
title: Gene expression of immune and neuroendocrine-related genes and biometric data of small-spotted catshark embryos (Scyliorhinus canicula) after six days of exposure to deoxygenation and hypoxia.

description: The global oxygen inventory has been declining worldwide, primarily due to climate change. However, the effects of low oxygen levels on shark neuroendocrinology and immunology are not understood. This study investigated the neuroendocrine response and immune competence of the head and trunk tissues of early (EE; before pre-hatching) and late embryos (LE) of small-spotted catshark (Scyliorhinus canicula) under six days of deoxygenation (DO; 93% O2 of air saturation) and hypoxic conditions (26% O2). Catshark embryos were resilient to DO, showing only minor changes in gene expression for melanotransferrin and a 10% decline in survival. Under hypoxia, growth remained unaffected; however, survival decreased by 31%, exceptionally in LE, highlighting inadequate adaptive responses. The developmental stage affected the expression of stress and immune response genes, pointing to critical developmental shifts in response mechanisms. The EE stage showed a greater stress response under hypoxia compared to LE, with several immune and neuroendocrine genes upregulated, while hypoxia-inducible factor 1 alpha levels decreased. The energy demands associated with coping with hypoxia compromised immune and endocrine functions, raising concerns about long-term species survival under climate change. These findings highlight the need for further research on sharks' resilience to environmental challenges and the interactions of metabolic pathways.
Here we show the gene expression (expressed as 2^ΔΔCT) of immune and neuroendocrine-related genes in head and trunk samples of early (EE) and late embryos (LE), and biometric data of small-spotted catshark (Scyliorhinus canicula) after six days of exposure to deoxygenation (air saturation = 93%) and hypoxia (air saturation = 26%).
DOI: 10.15468/dl.kaaqm9
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus poblana (Martínez) R.P.Adams",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 70 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007401-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15129/d688a529-cb11-4081-89a1-76bbd6a03f80
title: Data for: "Natural Language Processing (NLP) Tools for Pharmaceutical Manufacturing Information Extraction from Patents"

description: Data for: "Natural Language Processing (NLP) Tools for Pharmaceutical Manufacturing Information Extraction from Patents"
DOI: 10.17632/3c3k73ts5g.1
title: Experimental data of Continental convergence rate: The critical controlling factor of continental subduction style

description: This is Experimental data of “Continental convergence rate: The critical controlling factor of continental subduction style” that will be submitted to Geophysical Research Letters. This data includes side-view photographs of four experiments.
DOI: 10.17632/bvv4hk4dzc.1
title: LINF_170012500

description: Acyl-CoA binding protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/bvv4hk4dzc.2
title: LINF_170012500

description: Acyl-CoA binding protein | ACBP_103; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cw8gv5x22n.1
title: LINF_170012700

description: Acyl CoA binding protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/cw8gv5x22n.2
title: LINF_170012700

description: Acyl CoA binding protein | ACBP_96; Leishmania infantum (strain JPCM5)
DOI: 10.17632/crc7w6nws6.1
title: LINF_170012900

description: mitoribosomal protein mL73
Leishmania infantum (strain JPCM5)
DOI: 10.17632/crc7w6nws6.2
title: LINF_170012900

description: Mitoribosomal protein mL73; Leishmania infantum (strain JPCM5)