cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18269259
title: TABLE 3 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 3. TNT values of consistency index (CI), retention index (RI), and number of steps of the trees analyzed in this work.
k-valuesCIRIStepsEqual weights47743911, 24573401346733974, 5, 6, 10, 154674392204774391
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 57 in Zootaxa 5729 (1) on page 57, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269261
title: TABLE 4 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 4. Leg measurements of Nictaster sidereus sp. nov., ♂ holotype (MNRJ 3690).
TrFePaTiMtTaClTotalPp0.641.230.840.97−0.950.775.40Leg I0.722.820.902.023.361.72–11.54Leg II0.876.181.464.957.433.72–24.61Leg III1.024.611.512.825.362.36–17.69Leg IV3.004.741.954.238.252.43–24.60
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 62 in Zootaxa 5729 (1) on page 62, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269260
title: TABLE 4 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 4. Leg measurements of Nictaster sidereus sp. nov., ♂ holotype (MNRJ 3690).
TrFePaTiMtTaClTotalPp0.641.230.840.97−0.950.775.40Leg I0.722.820.902.023.361.72–11.54Leg II0.876.181.464.957.433.72–24.61Leg III1.024.611.512.825.362.36–17.69Leg IV3.004.741.954.238.252.43–24.60
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 62 in Zootaxa 5729 (1) on page 62, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269262
title: TABLE 5 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 5. Leg measurements of Nictaster sidereus sp. nov., ♀ paratype (MNRJ 3903).
TrFePaTiMtTaClTotalPp0.581.360.751.14−0.910.935.67Leg I0.692.420.971.752.861.44–10.14Leg II0.935.281.444.285.893.16–20.98Leg III0.954.351.492.584.462.23–16.07Leg IV1.385.321.783.436.832.68–21.43
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 67 in Zootaxa 5729 (1) on page 67, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269263
title: TABLE 5 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 5. Leg measurements of Nictaster sidereus sp. nov., ♀ paratype (MNRJ 3903).
TrFePaTiMtTaClTotalPp0.581.360.751.14−0.910.935.67Leg I0.692.420.971.752.861.44–10.14Leg II0.935.281.444.285.893.16–20.98Leg III0.954.351.492.584.462.23–16.07Leg IV1.385.321.783.436.832.68–21.43
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 67 in Zootaxa 5729 (1) on page 67, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269264
title: TABLE 6 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 6. Leg measurements of Nictaster lanceatus sp. nov., ♂ holotype (MZSP 14013).
TrFePaTiMtTaClTotalPp0.601.470.841.06−0.900.895.76Leg I0.632.741.012.053.091.67–11.20Leg II0.825.921.414.516.363.17–22.20Leg III0.944.331.592.744.331.97–15.89Leg IV2.325.081.814.177.352.44–23.17
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 67 in Zootaxa 5729 (1) on page 67, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.5281/zenodo.18269265
title: TABLE 6 in A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones)

description: TABLE 6. Leg measurements of Nictaster lanceatus sp. nov., ♂ holotype (MZSP 14013).
TrFePaTiMtTaClTotalPp0.601.470.841.06−0.900.895.76Leg I0.632.741.012.053.091.67–11.20Leg II0.825.921.414.516.363.17–22.20Leg III0.944.331.592.744.331.97–15.89Leg IV2.325.081.814.177.352.44–23.17
description: Published as part of Carvalho, Rafael N. & Kury, Adriano B., 2025, A stellar configuration in Gonyleptidae: Nyctaster, a new genus of Neopachylinae from the Brazilian Atlantic rainforest (Arachnida: Opiliones), pp. 67 in Zootaxa 5729 (1) on page 67, DOI: 10.11646/zootaxa.5729.1.2, http://zenodo.org/record/17907601
DOI: 10.15468/dl.xmezmt
title: Occurrence Download

description: A dataset containing 5898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5898 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014342-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkfuhb
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "Country is Bermuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 99 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014340-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/2rntu
title: The Development of Space-Time Interactions: A Paradoxical Effect of Age Modulated by Sensory Context and Task Difficulty

description: This study aimed to investigate the impact of spatial perception on time perception, and vice versa, in both auditory and visual modalities, as well as the influence of task difficulty in the visual modality. The experiment was conducted with children aged 5–6 years, 7–8 years, and adults. Participants completed four tasks over two days: one temporal bisection task and one spatial bisection task in each modality. In the visual modality, stimuli consisted of points appearing on a screen, whereas in the auditory modality, spatially distributed sounds were presented. In both cases, participants were asked to indicate whether the duration or the distance was “short” or “long”. Data analyses included ANOVAs, calculations of Weber Ratios (WR) and Bisection Points (BP). Initial results revealed a significant interference effect of space on time perception, particularly in the visual modality and interference effect of time on space in the auditory modality. In both modalities, these interference effects were more pronounced in older participants. Furthermore, greater task difficulty was associated with a stronger effect of space on time perception. Overall, the findings highlight a strong developmental component in the perception of time and space.
DOI: 10.15468/dl.xq4av2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinella marina",
 "Country is New Caledonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014341-260108223611665/datasets/export for details.
DOI: 10.15468/dl.yup88m
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Urva smithii"
 ]
}

 The dataset includes 568 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014343-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15097501
title: Test data for Menger Curvature Package

description: Test Data Repository for Menger Curvature Package

This repository hosts test data used in the unit tests for the Menger curvature repository

The data is derived from the Zenodo repository associated with the research article "Impact of multiple phosphorylations on the tau-R2/tubulin interface" by Jules Marien, Chantal Prévost, and Sophie Sacquin-Mora (http://dx.doi.org/10.1021/acs.biochem.5c00109).

Data Details



Original Simulation Files:



PDB file: PDB_protein_ions_trimere_b3_modele16_without_Tau.pdb

DCD file: DCD_protein_ions_trimere_b3_modele16_without_Tau.dcd




The original data is also hosted on a zenodo repository : https://zenodo.org/records/14888178

Test Data Composition

The repository contains a comprehensive set of computational analysis files for tubulin protein chains, specifically focusing on Chain A and the full ABC chain set. The data includes:



Curvature and flexibility analysis for:



Individual Chains (A, B, C)

Multiple spacing configurations (1 through 5)



NumPy array files (.npy) containing:



Curvature arrays

Local curvature measurements

Local flexibility measurements




Each set of files provides detailed geometric and structural characterizations of the tubulin protein, enabling in-depth computational analysis of protein chain properties across different spatial configurations.

Note: To optimize unit testing efficiency and minimize download size, only the last 100 ns of Chain A and Chain ABC  molecular dynamics were retained.

Reference

Impact of Multiple Phosphorylations on the Tau-R2/Tubulin Interface,Biochemistry 2025, 64, 13, 2916–2925 (http://dx.doi.org/10.1021/acs.biochem.5c00109)
DOI: 10.5281/zenodo.15097502
title: Test data for Menger Curvature Package

description: Test Data Repository for Menger Curvature Package

This repository hosts test data used in the unit tests for the Menger curvature repository

The data is derived from the Zenodo repository associated with the research article "Impact of multiple phosphorylations on the tau-R2/tubulin interface" by Jules Marien, Chantal Prévost, and Sophie Sacquin-Mora (http://dx.doi.org/10.1021/acs.biochem.5c00109).

Data Details



Original Simulation Files:



PDB file: PDB_protein_ions_trimere_b3_modele16_without_Tau.pdb

DCD file: DCD_protein_ions_trimere_b3_modele16_without_Tau.dcd




The original data is also hosted on a zenodo repository : https://zenodo.org/records/14888178

Test Data Composition

The repository contains a comprehensive set of computational analysis files for tubulin protein chains, specifically focusing on Chain A and the full ABC chain set. The data includes:



Curvature and flexibility analysis for:



Individual Chains (A, B, C)

Multiple spacing configurations (1 through 5)



NumPy array files (.npy) containing:



Curvature arrays

Local curvature measurements

Local flexibility measurements




Each set of files provides detailed geometric and structural characterizations of the tubulin protein, enabling in-depth computational analysis of protein chain properties across different spatial configurations.

Note: To optimize unit testing efficiency and minimize download size, only the last 100 ns of Chain A and Chain ABC  molecular dynamics were retained.

Reference

Impact of Multiple Phosphorylations on the Tau-R2/Tubulin Interface,Biochemistry 2025, 64, 13, 2916–2925 (http://dx.doi.org/10.1021/acs.biochem.5c00109)
DOI: 10.5281/zenodo.18269325
title: Structural Asymmetries in PPI Networks as a Tool to Improve the Detection

description: This dataset contains newly constructed protein–protein interaction (PPI) networks for Saccharomyces cerevisiae and Homo sapiens derived from current releases of the BioGRID and STRING databases. The yeast (BioGRID24Y) and human (BioGRID24H) networks include only physical interactions, while a weighted human network (STRING24H) was created using high-confidence STRING interactions (confidence score ≥ 0.700) with confidence scores assigned as edge weights. All networks were analyzed on their giant connected components and are intended for reproducible benchmarking and structural analysis of protein complex detection methods.















In addition to these networks, we constructed reference sets derived from Gene Ontology (GO) annotations, restricted exclusively to child terms of the Protein-Containing Complex (PCC). For Saccharomyces cerevisiae, this reference set is denoted SGD24Y, and for Homo sapiens as SGD24H. Only PCC descendant terms were retained to ensure specificity to experimentally and computationally defined protein complexes. These GO-based references provide an independent, ontology-driven benchmark for evaluating the correspondence between detected network structures and curated protein complexes.
DOI: 10.5281/zenodo.15769037
title: Structural Asymmetries in PPI Networks as a Tool to Improve the Detection

description: This dataset contains newly constructed protein–protein interaction (PPI) networks for Saccharomyces cerevisiae and Homo sapiens derived from current releases of the BioGRID and STRING databases. The yeast (BioGRID24Y) and human (BioGRID24H) networks include only physical interactions, while a weighted human network (STRING24H) was created using high-confidence STRING interactions (confidence score ≥ 0.700) with confidence scores assigned as edge weights. All networks were analyzed on their giant connected components and are intended for reproducible benchmarking and structural analysis of protein complex detection methods.















In addition to these networks, we constructed reference sets derived from Gene Ontology (GO) annotations, restricted exclusively to child terms of the Protein-Containing Complex (PCC). For Saccharomyces cerevisiae, this reference set is denoted SGD24Y, and for Homo sapiens as SGD24H. Only PCC descendant terms were retained to ensure specificity to experimentally and computationally defined protein complexes. These GO-based references provide an independent, ontology-driven benchmark for evaluating the correspondence between detected network structures and curated protein complexes.
DOI: 10.15468/dl.s4jv74
title: Occurrence Download

description: A dataset listing the 10638 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10638 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014318-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrff4m
title: Occurrence Download

description: A dataset containing 7041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium pratense)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7041 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014344-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6xyk8
title: Occurrence Download

description: A dataset containing 8985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Rhododendron ponticum"
 ]
}

 The dataset includes 8985 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014345-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18269547
title: INNOVATSION PEDAGOGIK STRATEGIYALAR- MOBIL ILOVALAR BILAN O'QITISH JARAYONINI TAKOMILLASHTIRISH

description: Ushbu ishda zamonaviy ta’lim jarayonida mobil ilovalardan foydalanish orqali pedagogik strategiyalarni takomillashtirish masalalari o‘rganilgan. Mobil ilovalar ta’limni interaktiv, individualizatsiyalashgan va moslashuvchan shaklda tashkil etishga yordam beradi. Ishda mobil ilovalar yordamida o‘quvchilarning bilim darajasi, motivatsiyasi va mustaqil o‘qish ko‘nikmalarini oshirish imkoniyatlari tahlil qilingan. Tadqiqot natijalari innovatsion pedagogik strategiyalar va mobil texnologiyalar integratsiyasining ta’lim sifatini yaxshilashda muhimligini ko‘rsatadi.
DOI: 10.5281/zenodo.18269548
title: INNOVATSION PEDAGOGIK STRATEGIYALAR- MOBIL ILOVALAR BILAN O'QITISH JARAYONINI TAKOMILLASHTIRISH

description: Ushbu ishda zamonaviy ta’lim jarayonida mobil ilovalardan foydalanish orqali pedagogik strategiyalarni takomillashtirish masalalari o‘rganilgan. Mobil ilovalar ta’limni interaktiv, individualizatsiyalashgan va moslashuvchan shaklda tashkil etishga yordam beradi. Ishda mobil ilovalar yordamida o‘quvchilarning bilim darajasi, motivatsiyasi va mustaqil o‘qish ko‘nikmalarini oshirish imkoniyatlari tahlil qilingan. Tadqiqot natijalari innovatsion pedagogik strategiyalar va mobil texnologiyalar integratsiyasining ta’lim sifatini yaxshilashda muhimligini ko‘rsatadi.
DOI: 10.57903/uj/pynlyq
title: The IR Map of the Human Cell - research data

description: This dataset contains IR spectra of subcellular compartments, reference compounds of selected biomolecules, simulated spectra, and hyperspectral images of cells.
DOI: 10.5281/zenodo.18122070
title: "Dynamic Behavior of Non-Linear Quantum Time and the Efficiency of Predictive Correction Protocols in Entangled Systems"

description: "Statement of Transparency and Methodology:

This work was developed with a commitment to academic integrity. While the conceptual framework, physical hypothesis, and analytical interpretations are the original work of the author, AI tools were utilized to assist in generating the Python scripts for the simulation. All presented results are authentic data outputs generated through Google Colab environments, reflecting the direct behavior of the modeled quantum system. This collaborative approach between human intellectual design and computational AI assistance aims to provide a clear and reproducible framework for readers and future researchers."
DOI: 10.5281/zenodo.18121521
title: "Dynamic Behavior of Non-Linear Quantum Time and the Efficiency of Predictive Correction Protocols in Entangled Systems"

description: "Statement of Transparency and Methodology:

This work was developed with a commitment to academic integrity. While the conceptual framework, physical hypothesis, and analytical interpretations are the original work of the author, AI tools were utilized to assist in generating the Python scripts for the simulation. All presented results are authentic data outputs generated through Google Colab environments, reflecting the direct behavior of the modeled quantum system. This collaborative approach between human intellectual design and computational AI assistance aims to provide a clear and reproducible framework for readers and future researchers."
DOI: 10.5281/zenodo.18269530
title: Croton laureltyanus Ahumada. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18269531
title: Croton laureltyanus Ahumada. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.pq6hns
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Urva urva"
 ]
}

 The dataset includes 712 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014346-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15024204
title: Research for ConvU_NExT: Dataset Containing normal dose CT images for training(Head, Lungs, Abdominal and Knee procedures), LDCT images for test, and Water Phantom Test images for augmentation

description: WaterPhantomImages.zip contains one series sample of the images resulted from the water phantom test. These images were used to augment the normal dose CT image to simulate LDCT while training an encoder-decoder model for denoising.

CTImages.zip contais 3 more folders with samples for: 



Test - native LDCT images used for the final measurements of model's performance

Train - normal dose CT images from multiple procedures (Abdominal, Head, Knee, Lungs), each in it's individual folder

Validation - normal dose CT, where beam hardening effect is present


 

Images provided in the dataset are in tiff format, and they have float32 data type. The conversion code from dicom to tiff is provided below: 

def get_first_of_dicom_field_as_int(x):
    if type(x) == dcm.multival.MultiValue: return int(x[0])
    else: return int(x)


def get_windowing(data):
    dicom_fields = [data[('0028','1050')].value, #window center
                    data[('0028','1051')].value, #window width
                    data[('0028','1052')].value, #intercept
                    data[('0028','1053')].value] #slope
    return [get_first_of_dicom_field_as_int(x) for x in dicom_fields]


def window_image(img, window_center=50, window_width=400, slope=1, intercept=-1024):
    img = (img*slope + intercept) #for translation adjustments given in the dicom file. 
    img = np.array(img).astype('int16')
    img_min = window_center - window_width//2 #minimum HU level
    img_max = window_center + window_width//2 #maximum HU level
    img[img<img_min] = img_min #set img_min for all HU levels less than minimum HU level
    img[img>img_max] = img_max #set img_max for all HU levels higher than maximum HU level
    img = (img - img_min) / (img_max - img_min)
    img = (img).astype('float32')
    return img


for partial_path in os.listdir(input_path):
    path = os.path.join(input_path, partial_path)
    data = dcm.read_file(path)
    img = data.pixel_array
    window_center , window_width, intercept, slope = get_windowing(data)
    img = window_image(img, window_center, window_width, slope, intercept)
    tiff.imwrite(os.path.join(output_path, f'{i}.tiff'), img)