cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28500761.v1
title: Data for: <b>Laser-based pulse oximetry eliminates pigmentation effects on oxygen saturation measurements</b>

description: The data provided here are for the article: <b>Laser-based pulse oximetry eliminates pigmentation effects on oxygen saturation measurements</b>These are the data for a benchtop study and for a clinical study on the effects of pigmentation on LED-based pulse oximeters and on a unique prototype laser-based pulse oximeter.For further information on these data please see the included file Readme.docx.
DOI: 10.17632/kczd9vtvfy
title: Eval for "A LLM-Based Approach for End-to-End Web GUI Test Script Generation and Execution"

description: Contains code, experimental data and scripts
DOI: 10.17632/kczd9vtvfy.1
title: Eval for "A LLM-Based Approach for End-to-End Web GUI Test Script Generation and Execution"

description: Contains code, experimental data and scripts
DOI: 10.17632/v798n79kgz
title: Gender-Dependent Color Discrimination Ability and Speed–Accuracy Tradeoff: Insights from ND-100 Hue Tests

description: This dataset contains measurements from 356 university students (aged 18–28) who completed up to four color discrimination trials using the ND-100 hue test under four time limits (120 s, 105 s, 90 s, and 75 s).
Data include:
 • Illumination type – type of light source used during the experiment
 • Luminance – measured brightness levels
 • Color discrimination scores – performance metrics for each trial (Box1, Box2, Box3, Box4, Total Error Value, Confirmation)
 • Participant information – age, gender, age group, and occupation

Each participant’s performance was recorded under randomized conditions for multiple trials. The dataset contains all raw measurements necessary to reproduce the analyses reported in the associated publication.
DOI: 10.17632/v798n79kgz.1
title: Gender-Dependent Color Discrimination Ability and Speed–Accuracy Tradeoff: Insights from ND-100 Hue Tests

description: This dataset contains measurements from 356 university students (aged 18–28) who completed up to four color discrimination trials using the ND-100 hue test under four time limits (120 s, 105 s, 90 s, and 75 s).
Data include:
 • Illumination type – type of light source used during the experiment
 • Luminance – measured brightness levels
 • Color discrimination scores – performance metrics for each trial (Box1, Box2, Box3, Box4, Total Error Value, Confirmation)
 • Participant information – age, gender, age group, and occupation

Each participant’s performance was recorded under randomized conditions for multiple trials. The dataset contains all raw measurements necessary to reproduce the analyses reported in the associated publication.
DOI: 10.17632/d8s5zn7xkx
title: social anxiety, internet addiction and depression among university students

description: demographic data and Beck Depression Inventory data for over 300 participants.
DOI: 10.17632/d8s5zn7xkx.1
title: social anxiety, internet addiction and depression among university students

description: demographic data and Beck Depression Inventory data for over 300 participants.
DOI: 10.25574/25773
title: Chandra X-ray Observatory ObsId 25773

description: Starburst Anatomy and Feedback: X-raying the high redshift analogue ESO 338-4
DOI: 10.17632/w44p2zcwt8.2
title: Dataset for Siamese Neural Network Based Lineage Determination of Speech Samples Generated using Frequency Domain Distortions

description: The research is designed to build a Siamese Neural Network to determine the lineal relationship between speech samples. For this research, the TIMIT Acoustic-Phonetics continuous speech corpus was obtained under a data scholarship from Linguistic Data Consortium. The speech samples in TIMIT dataset where further modified using mathematical functions, and processed for Mel Frequency Cepstral Coefficients (MFCCs) extraction. Hence, our dataset consists of normal and frequency distorted dataset.
DOI: 10.6073/pasta/d362896560d743c616d129e38151b332
title: Data Package for the 2022 Great Lakes Winter Grab

description: WARNINGS: 
 1. For Ice Thickness data, please use data in "WinterGrab_snow_ice_properties" file instead of data in Table 2 of the manuscript published in Limnology and Oceanography Letters!
 2: In "WinterGrab_phytoplankton_abundance_McKay", EC1 has two sets of data records because it was sampled both on 2/28 and 3/10, both records are included in this data.
 ---
 
 The data package contains the results from a multi-institutional winter limnology sampling campaign on the Laurentian Great Lakes. Researchers from 19 institutions sampled 49 locations in all five of the Great Lakes over a period of 24 days in February-March 2022. This dataset contains information on diverse physical, chemical, and biological parameters.
 
 Great Lakes Winter Grab ArcGIS Storymap showing all locations of sampling sites and select photos:
 
 https://storymaps.arcgis.com/stories/8ff1c332dd944ba9a744dc0e0fc18906
DOI: 10.17632/mbjzs7gkgz
title: Strawberry Grading Dataset 🍓

description: Strawberry Grading Dataset 🍓

Dataset Description
This dataset contains a collection of images of strawberries sorted into four distinct quality grades: Jumbo, A, B, and C. The images were captured from strawberries harvested in Ciwidey, Bandung, Indonesia, in September 2025. This dataset is designed for machine learning tasks such as automated fruit grading and quality control.

Classes and Quality Descriptions
Jumbo: The highest quality strawberries. They are characterized by their large size, uniform shape, vibrant red color, and absence of significant defects.

Grade A: High-quality strawberries that are slightly smaller than the "Jumbo" class, with good shape, bright red color, and minimal defects.

Grade B: Medium-quality strawberries. They may have a less uniform shape, some variations in color (e.g., small white or green spots), or minor blemishes.

Grade C: The lowest quality strawberries in the dataset. They are often smaller, have irregular shapes, and may show more noticeable defects, such as bruises, significant color variations, or other imperfections.

Dataset Split and Image Count
The dataset is divided into two main parts: a training set (for model training) and a test set (for model evaluation). The distribution of images is as follows:

Training Set:

Jumbo: 27 images

Grade A: 25 images

Grade B: 14 images

Grade C: 37 images

Test Set: This set consists of 27 images, all of which contain more than one strawberry. This unique feature is intended to test the model's robustness and its ability to accurately identify and grade individual fruits within a complex, multi-instance scene, simulating real-world scenarios more effectively.

Data Source
Location: Ciwidey, Bandung, Indonesia

Harvest Date: September 2025

Potential Applications
This dataset can be used for training and evaluating machine learning models for automated strawberry grading, quality control, and agricultural research. The multi-strawberry images in the test set are particularly useful for developing robust models capable of identifying and classifying individual fruits within a larger context.
DOI: 10.17632/mbjzs7gkgz.1
title: Strawberry Grading Dataset 🍓

description: Strawberry Grading Dataset 🍓

Dataset Description
This dataset contains a collection of images of strawberries sorted into four distinct quality grades: Jumbo, A, B, and C. The images were captured from strawberries harvested in Ciwidey, Bandung, Indonesia, in September 2025. This dataset is designed for machine learning tasks such as automated fruit grading and quality control.

Classes and Quality Descriptions
Jumbo: The highest quality strawberries. They are characterized by their large size, uniform shape, vibrant red color, and absence of significant defects.

Grade A: High-quality strawberries that are slightly smaller than the "Jumbo" class, with good shape, bright red color, and minimal defects.

Grade B: Medium-quality strawberries. They may have a less uniform shape, some variations in color (e.g., small white or green spots), or minor blemishes.

Grade C: The lowest quality strawberries in the dataset. They are often smaller, have irregular shapes, and may show more noticeable defects, such as bruises, significant color variations, or other imperfections.

Dataset Split and Image Count
The dataset is divided into two main parts: a training set (for model training) and a test set (for model evaluation). The distribution of images is as follows:

Training Set:

Jumbo: 27 images

Grade A: 25 images

Grade B: 14 images

Grade C: 37 images

Test Set: This set consists of 27 images, all of which contain more than one strawberry. This unique feature is intended to test the model's robustness and its ability to accurately identify and grade individual fruits within a complex, multi-instance scene, simulating real-world scenarios more effectively.

Data Source
Location: Ciwidey, Bandung, Indonesia

Harvest Date: September 2025

Potential Applications
This dataset can be used for training and evaluating machine learning models for automated strawberry grading, quality control, and agricultural research. The multi-strawberry images in the test set are particularly useful for developing robust models capable of identifying and classifying individual fruits within a larger context.
DOI: 10.17632/f6y5m7skz5.5
title: Predator's paradise - Data supporting "Extreme hunting efficiency in a carnivorous bat"

description: Large predators typically hunt relatively large prey with high failure rates and at high costs. In contrast, small predators generally hunt relatively small, abundant prey at lower failure rates, incurring relatively lower costs. Bats are small predators with high metabolic rates during flight and most species hunt large numbers of abundant, small insects. However, nine different bat species have evolved true carnivory, targeting large, less abundant vertebrate prey. This rare hunting style among bats raises the fundamental conundrum of how these very small predators with limited energy stores and high absolute energy requirements can successfully employ a hunting strategy that usually involves prolonged searching and high-energy chasing at low success rates. Here, we address this question by quantifying the hunting behavior of 20 wild carnivorous fringe-lipped bats (Trachops cirrhosus) with sound and movement biologging tags. We equipped 20 Trachops cirrhosus bats (8 females, 12 males) with sound- and movement- tags in March 2023 and in October 2023. The tags used in this study recorded continuous data for ~5.5 hrs during one night of foraging, amounting to the first half of the bats’ nightly activity periods. Recordings generally started with the bats’ activity period, either at emergence time (via a timer) when bats had been captured and tagged in their day roosts (9 bats) or at time of release, when bats had been captured and tagged during emergence (11 bats), therefore all recording intervals covered the onset of the foraging period. Audio data was recorded with an ultrasonic microphone (FG-3329; Knowles Electronics, Itaska, IL, USA) at a sampling rate of 187.5 kHz, with 16-bit resolution, a 10 kHz 1-pole analog high-pass filter, and a clipping level of 121 dB re 20 μPa pk. Movement data was recorded with triaxial accelerometers sampling at 1000 Hz with a clipping level of 8 g. All accelerometer data was calibrated, converted into acceleration units (m/s2), and decimated to 100 Hz. The orientation of the bats was recorded with triaxial magnetometers sampling at 50 Hz. 
Long mastication times of up to 84 minutes after a kill show that these bats can target prey as large as their own body size. Unlike much larger predators, they do so with extreme efficiency: the bats spent only a fraction of the night in flight (median 11%, quartiles 7-14%) and complemented short search and pursuit times with high rates of hunting success (50%, 35-62%), capitalizing on a combination of eavesdropping on prey sounds and hang-and-wait ambush predation. The unusual low-risk/high-gain strategy of these predatory bats critically relies on high prey densities in pristine ecosystems. The dwindling sizes of intact ecosystems and dramatic decline in biodiversity raise great concern for the Anthropocene fate of these specialized predators.
DOI: 10.17632/8mt75vvt29
title: eDNA in Negombo and Puttalam lagoon

description: eDNA in water samples from mangrove linked lagoons is extracted and eDNA metabarcoding is carried out.
DOI: 10.17632/8mt75vvt29.1
title: eDNA in Negombo and Puttalam lagoon

description: eDNA in water samples from mangrove linked lagoons is extracted and eDNA metabarcoding is carried out.
DOI: 10.17632/mt5xkgh4bf
title: The Impact of Emotional Narratives on the Phenomena of False Memory

description: We studied whether emotional stories make people more likely to have "false memories" - remembering things that never happened. This matters for eyewitness testimony and legal cases. We had 70 students read emotional or neutral stories in Bangla, then tested their memory. Surprisingly, people who read emotional stories (both positive and negative) had fewer false memories and better accurate recall than those reading neutral stories. This contradicts previous research using word lists. Our findings suggest that when emotional information appears in meaningful story contexts - like real life - it actually protects memory accuracy rather than distorting it.
DOI: 10.5281/zenodo.17150522
title: Combined nuclear and mtDNA matrices for 63 marsupial species

description: Aligned nuclear and mtDNA sequences for 63 macropodiform species.

These matrices contain the alignments of 11 nuclear genes (apoB, BRCA1, IRBP, vWF, RAG1, ENAM, ADORA3, ADRA2B, BCHE, TYR and DMP1) and mitogenomes.

In the file "Kangaroos63_NT.nex", all the partitions have the standard nucleotide coding.

The file "Kangaroos63_3RY.nex" differs only in that the mtDNA protein coding 3rd positions are in RY coded.
DOI: 10.17632/mt5xkgh4bf.1
title: The Impact of Emotional Narratives on the Phenomena of False Memory

description: We studied whether emotional stories make people more likely to have "false memories" - remembering things that never happened. This matters for eyewitness testimony and legal cases. We had 70 students read emotional or neutral stories in Bangla, then tested their memory. Surprisingly, people who read emotional stories (both positive and negative) had fewer false memories and better accurate recall than those reading neutral stories. This contradicts previous research using word lists. Our findings suggest that when emotional information appears in meaningful story contexts - like real life - it actually protects memory accuracy rather than distorting it.
DOI: 10.5281/zenodo.17150521
title: Combined nuclear and mtDNA matrices for 63 marsupial species

description: Aligned nuclear and mtDNA sequences for 63 macropodiform species.

These matrices contain the alignments of 11 nuclear genes (apoB, BRCA1, IRBP, vWF, RAG1, ENAM, ADORA3, ADRA2B, BCHE, TYR and DMP1) and mitogenomes.

In the file "Kangaroos63_NT.nex", all the partitions have the standard nucleotide coding.

The file "Kangaroos63_3RY.nex" differs only in that the mtDNA protein coding 3rd positions are in RY coded.
DOI: 10.17632/gkjrn42xvt
title: The non-SUSY orbifolder: A tool to build promising non-supersymmetric string models

description: We introduce the non-SUSY orbifolder, which is a program developed in C++that computes the low-energy effective theory of non-supersymmetric heterotic orbifold compactifications. The program includes routines to compute the massless spectrum, to automatically generate large sets of orbifold models, to identify phenomenologically interesting models (e.g. models sharing features of the Standard Model (SM) or Grand Unified Theories (GUT)) and to analyze their vacuum-configurations.
DOI: 10.17632/gkjrn42xvt.1
title: The non-SUSY orbifolder: A tool to build promising non-supersymmetric string models

description: We introduce the non-SUSY orbifolder, which is a program developed in C++that computes the low-energy effective theory of non-supersymmetric heterotic orbifold compactifications. The program includes routines to compute the massless spectrum, to automatically generate large sets of orbifold models, to identify phenomenologically interesting models (e.g. models sharing features of the Standard Model (SM) or Grand Unified Theories (GUT)) and to analyze their vacuum-configurations.
DOI: 10.17632/wt228b57kw
title: Scaling up to multivariate rational function reconstruction

description: I present an algorithm for the reconstruction of multivariate rational functions from black-box probes. The arguably most important application in high-energy physics is the calculation of multi-loop and multi-leg amplitudes, where rational functions appear as coefficients in the integration-by-parts reduction to basis integrals. I show that for a dense coefficient the algorithm is nearly optimal, in the sense that the number of required probes is close to the number of unknowns.
DOI: 10.17632/wt228b57kw.1
title: Scaling up to multivariate rational function reconstruction

description: I present an algorithm for the reconstruction of multivariate rational functions from black-box probes. The arguably most important application in high-energy physics is the calculation of multi-loop and multi-leg amplitudes, where rational functions appear as coefficients in the integration-by-parts reduction to basis integrals. I show that for a dense coefficient the algorithm is nearly optimal, in the sense that the number of required probes is close to the number of unknowns.
DOI: 10.5281/zenodo.17136554
title: Live cell imaging of MCF10A cells treated with OSM, IFNG, or EGF, under siRNA knockdown of 14 genes - Replicate 2

description: This dataset contains live cell imaging of MCF10A mammary epithelial cells subjected to cytokine treatment and siRNA-mediated gene knockdown. MCF10A cells were cultured in DMEM/F12 growth medium supplemented with horse serum, hydrocortisone, cholera toxin, insulin, and EGF, then transitioned to growth factor-free medium prior to treatment. Cells were treated with either Oncostatin M (10 ng/mL), Interferon-gamma plus EGF (IFNG 20 ng/mL + EGF 10 ng/mL), or EGF alone (10 ng/mL).

For gene perturbations, siRNA knockdowns targeting 14 candidate regulators were performed using Lipofectamine RNAiMAX-mediated reverse transfection. Knockdown efficency was assessed functionally through phenotypic readouts. Following siRNA transfection and ligand treatment, cells were imaged using the Incucyte S3 microscope for 48 hours, with images acquired every 30 minutes. Fixed-cell immunofluorescent imaging was performed after 48 hours of ligand treatment. Cells were fixed in 4% formaldehyde, permeabilized, and blocked prior to staining with primary conjugated antibodies for B-Catenin and DAPI counterstaining. Imaging was performed using the InCell 6000 platform.

This dataset includes raw imaging data cross all conditions (ligand treatments and siRNA knockdowns), enabling the study of cytokine-incuded collective cell migration and phenotypic transitions in mammary epithelial cells. An excel table is included with Well metadata. IF imaging and live cell imaging of the other replicates are available at the linked related Zenodo repositories.
DOI: 10.5281/zenodo.17136555
title: Live cell imaging of MCF10A cells treated with OSM, IFNG, or EGF, under siRNA knockdown of 14 genes - Replicate 2

description: This dataset contains live cell imaging of MCF10A mammary epithelial cells subjected to cytokine treatment and siRNA-mediated gene knockdown. MCF10A cells were cultured in DMEM/F12 growth medium supplemented with horse serum, hydrocortisone, cholera toxin, insulin, and EGF, then transitioned to growth factor-free medium prior to treatment. Cells were treated with either Oncostatin M (10 ng/mL), Interferon-gamma plus EGF (IFNG 20 ng/mL + EGF 10 ng/mL), or EGF alone (10 ng/mL).

For gene perturbations, siRNA knockdowns targeting 14 candidate regulators were performed using Lipofectamine RNAiMAX-mediated reverse transfection. Knockdown efficency was assessed functionally through phenotypic readouts. Following siRNA transfection and ligand treatment, cells were imaged using the Incucyte S3 microscope for 48 hours, with images acquired every 30 minutes. Fixed-cell immunofluorescent imaging was performed after 48 hours of ligand treatment. Cells were fixed in 4% formaldehyde, permeabilized, and blocked prior to staining with primary conjugated antibodies for B-Catenin and DAPI counterstaining. Imaging was performed using the InCell 6000 platform.

This dataset includes raw imaging data cross all conditions (ligand treatments and siRNA knockdowns), enabling the study of cytokine-incuded collective cell migration and phenotypic transitions in mammary epithelial cells. An excel table is included with Well metadata. IF imaging and live cell imaging of the other replicates are available at the linked related Zenodo repositories.
DOI: 10.17632/svpttss23s
title: Data summary for Papers in Regional Science, 104(1), 100072

description: This document contains a data summary for the variables used in Hernández-Rodríguez, E., Boschma, R., Morrison, A., & Ye, X. (2025). Functional upgrading and downgrading in global value chains: Evidence from EU regions using a relatedness/complexity framework. Papers in Regional Science, 104(1), 100072.
DOI: 10.17632/svpttss23s.1
title: Data summary for Papers in Regional Science, 104(1), 100072

description: This document contains a data summary for the variables used in Hernández-Rodríguez, E., Boschma, R., Morrison, A., & Ye, X. (2025). Functional upgrading and downgrading in global value chains: Evidence from EU regions using a relatedness/complexity framework. Papers in Regional Science, 104(1), 100072.
DOI: 10.15468/dl.2j42cs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Acartia (Acanthacartia) tonsa, Amphibalanus amphitrite, Amphibalanus eburneus, Amphibalanus improvisus, Amphibalanus sp., Apionsoma (Apionsoma) misakianum, Arcuatula senhousia, Ascidiella aspersa, Asparagopsis armata, Asparagopsis taxiformis, Aurelia solida, Austrominius modestus, Balanus trigonus, Boccardia proboscidea, Bonnemaisonia hamifera, Botrylloides violaceus, Bugula neritina, Caprella mutica, Caprella scaura, Celleporaria brunnea, Cephalothrix simula, Cordylophora caspia, Corella eumyota, Corella sp., Crepidula fornicata, Cutleria multifida, Dasysiphonia japonica, Dreisseninae sp., Eucheilota menoni, Fenestrulina delicia, Fibrocapsa japonica, Ficopomatus enigmaticus, Gonionemus vertens, Haloa japonica, Halothrix lumbricalis, Hemigrapsus takanoi, Herdmania momus, Hydroides elegans, Malleus sp., Marenzelleria sp., Mawia benovici, Monocorophium sextonae, Neogobius melanostomus, Oithona davisae, Ostreopsis ovata, Palaemon elegans, Paracerceis sculpta, Paranthura japonica, Perophora japonica, Petricolaria pholadiformis, Pleurosira laevis, Polycerella emertoni, Polydora cornuta, Potamopyrgus antipodarum, Schizoporella japonica, Smittoidea prolifica, Streblospio benedicti, Telmatogeton japonicus, Torquigener flavimaculosus, Watersipora sp._1, Watersipora sp._2, Watersipora sp._3, Xenostrobus securis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015356-250914085247600/datasets/export for details.
DOI: 10.15468/dl.hsjqbe
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linum grandiflorum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1058 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015434-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.