cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/czrw8kbvw7.1
title: Effect of Two Intradialytic Exercise Programs on Heart Rate Variability in Hemodialysis Patients

description: Objective: To determine the effects of a non-immersive virtual reality (NIVR) program versus a conventional intradialytic exercise (CIE) program on heart rate variability (HRV) in individuals with chronic kidney disease (CKD) undergoing hemodialysis (HD).

Materials and Methods: A quasi-experimental study was conducted with 24 ambulatory patients from the HD unit of the Consorci Sanitari de Terrassa, Barcelona, Spain, between August and December 2024. Patients were assigned by convenience to the NIVR or CIE groups. A pre–post assessment was performed for variables related to the time, frequency, and nonlinear domains of HRV using the Polar H10 sensor.

Results: The CIE group demonstrated clinically significant improvements in variables such as the stress index (SI; d = 0.80) and SD2 (d = 0.63), reaching marginal statistical significance for both outcomes (P = 0.07 and P = 0.08, respectively). In contrast, the NIVR group showed small-to-moderate clinical significance in LF (d = 0.77), HF (d = 0.77), and SD2 (d = 0.43), with P &gt; 0.05. A 40% reduction in cardiovascular risk was observed in participants initially classified as high risk in the CIE group (P = 0.02). NIVR was not superior to CIE in improving cardiac autonomic modulation.

Conclusion: CIE yielded more favorable outcomes in cardiac autonomic modulation compared with NIVR. However, given the study limitations, it is not possible to conclusively determine which program provides greater benefits. This research serves as a foundation for future studies designed to address the identified limitations and enable more robust comparisons.
DOI: 10.17632/4r9tc9tc39.1
title: SZT1.0 (Global Subduction Zone Temperature 1.0)

description: The database SZT1.0 includes 19 subduction zones and 157,824 lines of temperature and subduction induced velocity data. The data is calculated based on a multi-physical parametric and multi-temporal scale 3D numerical model. Based on the Stag3D model (Tackley and Xie, 2003) and the finite difference method using a three-dimensionalization of a given plate shape (Slab2; Hayes et al., 2018) and the subducted plate subduction velocity (MORVEL; Argus et al., 2011) following the law of conservation of mass of matter, Stokes' equations and the law of conservation of kinetic energy (Gerya, 2011; Yoshioka and Murakami, 2007) and the intrinsic relations of viscoplastic rheological properties and viscosity coefficients (Ranalli, 1995), we constructed three-dimensional numerical models for the 19 subduction zones, and calculated the three-dimensional temperature field and the induced mantle/crustal flow velocity fields. The slab velocity (isite=3) is kinematically prescribed in slab guide which is increasing in trench-perpendicular length according to MORVEL plate motion along 3D slab geometry. In this database, we focus on the induced mantle/crustal flow velocity, so the velocity at the grids within the slab (isite=3) is shown to be zero value.
File name: stored in text format (a file), the name of the file is "SZT1.0 (Global-subduction-zone-temperature-1.0) Ji_Yang.dat", including 9 columns, from left to right, longitude (deg), latitude (deg), depth (km), temperature (Celsius degree), position (1-5), eastward velocity component (cm/y), northward velocity component (cm/y), vertically downward velocity component (cm/y), and subduction zone name. The position number (1-5) meaning is as follows: 1 means the overriding upper crust (0-15 km in depth); 2 means the overriding lower crust (15-30 km in depth); 3 means the subducting plate; 4 means the mantle; 5 means the accretionary prism. Data reading method: All ASCII files in this data file can be opened directly with a text program (e.g., Notepad).
Please cite:
Ji, Y., Yan, R., Zeng, D., Xie, C., Zhu, W., Qu, R., Yoshioka, S. (2021). Slab dehydration in Sumatra: Implications for fast and slow earthquakes and arc magmatism, Geophysical Research Letters, 48(3), e2020GL090576, https://doi.org/10.1029/2020GL090576
DOI: 10.5281/zenodo.14510327
title: Dataset related to article: PATHOLOGICAL LAUGHER AND CRYING IN MOTOR NEURON DISEASES: A MATTER OF BULBAR AND NEUROBEHAVIORAL INVOLVEMENT WITH SEX IMBALANCE

description: The dataset contains anonymized demographical, clinical, neuropsychological, and MRI data of 198 patients with motor neuron disease.
DOI: 10.5281/zenodo.14510328
title: Dataset related to article: PATHOLOGICAL LAUGHER AND CRYING IN MOTOR NEURON DISEASES: A MATTER OF BULBAR AND NEUROBEHAVIORAL INVOLVEMENT WITH SEX IMBALANCE

description: The dataset contains anonymized demographical, clinical, neuropsychological, and MRI data of 198 patients with motor neuron disease.
DOI: 10.15468/dl.3qtwea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.011 1.770181, 99.940704 1.764613, 99.87214 1.748046, 99.806997 1.720887, 99.74688 1.683807, 99.69327 1.637719, 99.647487 1.583757, 99.610658 1.523252, 99.58368900000001 1.457694, 99.567243 1.388696, 99.561724 1.317959, 99.567268 1.247224, 99.583736 1.178232, 99.61072299999999 1.112683, 99.647564 1.052189, 99.69335100000001 0.99824, 99.74695699999999 0.952164, 99.807063 0.915094, 99.872187 0.887945, 99.940729 0.871383, 100.011 0.8658169999999999, 100.081271 0.871383, 100.149813 0.887945, 100.214937 0.915094, 100.275043 0.952164, 100.328649 0.99824, 100.374436 1.052189, 100.411277 1.112683, 100.438264 1.178232, 100.454732 1.247224, 100.460276 1.317959, 100.454757 1.388696, 100.438311 1.457694, 100.411342 1.523252, 100.374513 1.583757, 100.32873 1.637719, 100.27512 1.683807, 100.215003 1.720887, 100.14986 1.748046, 100.081296 1.764613, 100.011 1.770181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002916-260120142942310/datasets/export for details.
DOI: 10.17632/8np658fjk6
title: A new view of Xe and Ne in the Paleoarchean atmosphere from paired noble gas isotopic and trace element analyses of Barberton cherts

description: Here, we include the main text and supplementary data tables associated with the manuscript "A new view of Xe and Ne in the Paleoarchean atmosphere from paired noble gas isotopic and trace element analyses of Barberton cherts," submitted to GCA. In this paper, we present high precision noble gas abundances and isotopic ratios paired with ion images for select trace elements from four cherts of the 3.26-3.55 Ga Onverwacht Group in Barberton, South Africa. These data demonstrate that cherts are capable of trapping ancient gases with compositions comparable to previous studies of hydrothermal quartz or barites (e.g., Avice et al., 2018, GCA), and provides critical new insight: the trapped ancient compositions of all samples have been variably overprinted by modern atmospheric gas, and estimates of the extent of past mass-fractionation are truly lower limits. 

Using a multi-component mixing model, we show that the ~3.3 Ga atmosphere was characterized by a Xe composition fractionated by a minimum of 19 ‰/amu relative to the modern atmospheric composition, nearly twice as strongly fractionated as the most recent estimate (Broadley et al., 2022; GCA). Our data indicate very limited contributions of Xe produced after emplacement by Ba, Te, and U. Our study cautions that both hydrothermal quartz and chert are susceptible to post-depositional alteration that must be understood in order to accurately characterize how the terrestrial atmospheric Xe isotope composition changed over Earth history, mostly likely due to atmospheric loss to space. In addition, Onverwacht chert Ne isotopic data suggest a sub-atmospheric Paleoarchean 20Ne/22Ne composition (&lt; 9.7)—an observation that provides critical constraints on models of volcanic outgassing over time.

SIMS data were gathered using the Cameca 7f-geo at Washington University in St. Louis. Noble gas data were collected using the Nu Noblesse HR 5F5M at Washington University in St. Louis.

Below, find an excel file containing data tables associated with this manuscript.
DOI: 10.15468/dl.5fvw9u
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-72.203 3.46517, -72.27339000000001 3.459601, -72.342045 3.44303, -72.40727200000001 3.415867, -72.467463 3.37878, -72.521135 3.332685, -72.56696700000001 3.278717, -72.603829 3.218206, -72.63081699999999 3.152643, -72.647267 3.083644, -72.65277500000001 3.012907, -72.647209 2.942174, -72.630708 2.873188, -72.603679 2.807645, -72.56679 2.74716, -72.52095 2.69322, -72.467287 2.647153, -72.407122 2.610092, -72.341936 2.582949, -72.27333299999999 2.566391, -72.203 2.560826, -72.132667 2.566391, -72.064064 2.582949, -71.998878 2.610092, -71.93871300000001 2.647153, -71.88505000000001 2.69322, -71.83920999999999 2.74716, -71.80232100000001 2.807645, -71.77529199999999 2.873188, -71.758791 2.942174, -71.753225 3.012907, -71.75873300000001 3.083644, -71.775183 3.152643, -71.802171 3.218206, -71.839033 3.278717, -71.884865 3.332685, -71.938537 3.37878, -71.998728 3.415867, -72.06395500000001 3.44303, -72.13261 3.459601, -72.203 3.46517))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002917-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8np658fjk6.1
title: A new view of Xe and Ne in the Paleoarchean atmosphere from paired noble gas isotopic and trace element analyses of Barberton cherts

description: Here, we include the main text and supplementary data tables associated with the manuscript "A new view of Xe and Ne in the Paleoarchean atmosphere from paired noble gas isotopic and trace element analyses of Barberton cherts," submitted to GCA. In this paper, we present high precision noble gas abundances and isotopic ratios paired with ion images for select trace elements from four cherts of the 3.26-3.55 Ga Onverwacht Group in Barberton, South Africa. These data demonstrate that cherts are capable of trapping ancient gases with compositions comparable to previous studies of hydrothermal quartz or barites (e.g., Avice et al., 2018, GCA), and provides critical new insight: the trapped ancient compositions of all samples have been variably overprinted by modern atmospheric gas, and estimates of the extent of past mass-fractionation are truly lower limits. 

Using a multi-component mixing model, we show that the ~3.3 Ga atmosphere was characterized by a Xe composition fractionated by a minimum of 19 ‰/amu relative to the modern atmospheric composition, nearly twice as strongly fractionated as the most recent estimate (Broadley et al., 2022; GCA). Our data indicate very limited contributions of Xe produced after emplacement by Ba, Te, and U. Our study cautions that both hydrothermal quartz and chert are susceptible to post-depositional alteration that must be understood in order to accurately characterize how the terrestrial atmospheric Xe isotope composition changed over Earth history, mostly likely due to atmospheric loss to space. In addition, Onverwacht chert Ne isotopic data suggest a sub-atmospheric Paleoarchean 20Ne/22Ne composition (&lt; 9.7)—an observation that provides critical constraints on models of volcanic outgassing over time.

SIMS data were gathered using the Cameca 7f-geo at Washington University in St. Louis. Noble gas data were collected using the Nu Noblesse HR 5F5M at Washington University in St. Louis.

Below, find an excel file containing data tables associated with this manuscript.
DOI: 10.15468/dl.aeugzb
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Domestic cat (Felis catus) preys reported by volunteers within the project Feral Cats"
 ]
}

 The dataset includes 427 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002918-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wjf794z7gc
title: NestWatch Open Dataset

description: NestWatch is a participatory science project operated by the Cornell Lab of Ornithology. Since 1965, members of the public have been following a standardized protocol for observing and reporting birds' nests in the United States and Canada (and more recently, other countries). This dataset contains raw nest records submitted to NestWatch. The metadata paper associated with this dataset (Bailey et al. 2024) is critical for understanding fields and their contents (see related links below). The dataset contains millions of nest check observations from &gt; 860,000 nest attempts (as of January 2026). Details about NestWatch can be found on the project website: www.nestwatch.org. This dataset is scheduled for updates annually on or about January 31. Relevant information can also be found on the NestWatch website here: https://nestwatch.org/opendata. 

See documentation at "Related links" on this page for further details.
DOI: 10.17632/wjf794z7gc.6
title: NestWatch Open Dataset

description: NestWatch is a participatory science project operated by the Cornell Lab of Ornithology. Since 1965, members of the public have been following a standardized protocol for observing and reporting birds' nests in the United States and Canada (and more recently, other countries). This dataset contains raw nest records submitted to NestWatch. The metadata paper associated with this dataset (Bailey et al. 2024) is critical for understanding fields and their contents (see related links below). The dataset contains millions of nest check observations from &gt; 860,000 nest attempts (as of January 2026). Details about NestWatch can be found on the project website: www.nestwatch.org. This dataset is scheduled for updates annually on or about January 31. Relevant information can also be found on the NestWatch website here: https://nestwatch.org/opendata. 

See documentation at "Related links" on this page for further details.
DOI: 10.17632/jhfskdb77v
title: DIW Multistage Data

description: This dataset contains experimental data from a multistage 3D printing (Direct Ink Writing) manufacturing process. The data cover four stages of the process, including material preparation, printing, drying, and characterization.
DOI: 10.17632/jhfskdb77v.1
title: DIW Multistage Data

description: This dataset contains experimental data from a multistage 3D printing (Direct Ink Writing) manufacturing process. The data cover four stages of the process, including material preparation, printing, drying, and characterization.
DOI: 10.17632/hrbtmwtr27
title: Experimental data-Microfluidic geometry design of inlet-outlet confinements for two-phase displacements in heterogeneous porous media

description: This database is designed to facilitate readers' access to the relevant raw data.
DOI: 10.17632/hrbtmwtr27.1
title: Experimental data-Microfluidic geometry design of inlet-outlet confinements for two-phase displacements in heterogeneous porous media

description: This database is designed to facilitate readers' access to the relevant raw data.
DOI: 10.5281/zenodo.18262440
title: Cracking the Cracking the Code of Multi-Layer Films to Promote Circularity in Single-Use Plastic Packaging

description: Polymer data, primarily H2O permeability for 27 polymers measured at the National Lab of the Rockies, along with data from the PNNL report "Water Vapor Permeation in Plastics" converted to barrer, to accompany the manuscript "Cracking the Cracking the Code of Multi-Layer Films to Promote Circularity in Single-Use Plastic Packaging".
DOI: 10.5281/zenodo.18262441
title: Cracking the Cracking the Code of Multi-Layer Films to Promote Circularity in Single-Use Plastic Packaging

description: Polymer data, primarily H2O permeability for 27 polymers measured at the National Lab of the Rockies, along with data from the PNNL report "Water Vapor Permeation in Plastics" converted to barrer, to accompany the manuscript "Cracking the Cracking the Code of Multi-Layer Films to Promote Circularity in Single-Use Plastic Packaging".
DOI: 10.17632/c5429jd3hw.1
title: AFX and US Images

description: Whole Section and High Power H&E Images
DOI: 10.17632/rc2w44ymdb
title: Donor Profile Dataset

description: DONOR PROFILE, BARRIERS, AND FACILITATORS OF BLOOD DONATION PRACTICES IN A TEACHING HOSPITAL
DOI: 10.17632/rc2w44ymdb.1
title: Donor Profile Dataset

description: DONOR PROFILE, BARRIERS, AND FACILITATORS OF BLOOD DONATION PRACTICES IN A TEACHING HOSPITAL
DOI: 10.17632/8fyz5fkrv5
title: AI-assisted classification of academic and non-academic monograph titles using DeepSeek large language models.

description: This dataset contains 765 monograph titles used to evaluate a large language model for evidence-based withdrawal decisions in an academic library context. It combines 384 scholarly monograph titles sampled from a Scopus title list (Dataset A) and 381 popular book titles sampled from the “Best Books Ever” Goodreads-derived dataset on Zenodo (Dataset B).
​
For each record, the dataset includes bibliographic metadata such as title, publication year, publisher, identifiers (e.g. ISBN where available), language/genre (for the Goodreads subset), and a binary label indicating whether the title is considered academically oriented (academic vs non-academic). The academic/non-academic labels correspond to the ground truth used in the study: Scopus-derived titles are labeled as academic, and Goodreads-derived titles as non-academic.
​
The data were originally retrieved from Scopus (for scholarly monographs) and from the publicly available “Best Monographs Ever” dataset on Zenodo (Goodreads-derived records), and then processed to create a balanced sample suitable for classification experiments. Simple random sampling was applied to each source population to obtain 384 academic and 381 non-academic titles, providing estimates with approximately 95% confidence and a 5% margin of error for proportion-based analyses.
​
This dataset supports replication of the title-based classification experiments reported in the article, including calculation of precision, recall, F1-score, and confusion matrices for different DeepSeek models. It can also be reused for developing or benchmarking other text classification models in collection management, academic vs popular book identification, and related library analytics tasks.
DOI: 10.17632/8fyz5fkrv5.1
title: AI-assisted classification of academic and non-academic monograph titles using DeepSeek large language models.

description: This dataset contains 765 monograph titles used to evaluate a large language model for evidence-based withdrawal decisions in an academic library context. It combines 384 scholarly monograph titles sampled from a Scopus title list (Dataset A) and 381 popular book titles sampled from the “Best Books Ever” Goodreads-derived dataset on Zenodo (Dataset B).
​
For each record, the dataset includes bibliographic metadata such as title, publication year, publisher, identifiers (e.g. ISBN where available), language/genre (for the Goodreads subset), and a binary label indicating whether the title is considered academically oriented (academic vs non-academic). The academic/non-academic labels correspond to the ground truth used in the study: Scopus-derived titles are labeled as academic, and Goodreads-derived titles as non-academic.
​
The data were originally retrieved from Scopus (for scholarly monographs) and from the publicly available “Best Monographs Ever” dataset on Zenodo (Goodreads-derived records), and then processed to create a balanced sample suitable for classification experiments. Simple random sampling was applied to each source population to obtain 384 academic and 381 non-academic titles, providing estimates with approximately 95% confidence and a 5% margin of error for proportion-based analyses.
​
This dataset supports replication of the title-based classification experiments reported in the article, including calculation of precision, recall, F1-score, and confusion matrices for different DeepSeek models. It can also be reused for developing or benchmarking other text classification models in collection management, academic vs popular book identification, and related library analytics tasks.
DOI: 10.17632/3d8sp3tmnn.3
title: Electrokinetic Response to Seepage Type and Pressure: Experimental Insights From a Novel Self-potential Probe
DOI: 10.5281/zenodo.18329378
title: EKSTREMAL VAZIYATLARDA TALABALAR EMOTSIONAL HOLATINI PSIXODIAGNOSTIKASI VA PSIXOKORREKSIYASI: NAZARIY VA AMALIY YONDASHUVLAR

description: Ushbu maqola ekstremal vaziyatlarda (yuqori bosimli imtihonlar va sessiyalar, pandemiya sharoitidagi masofaviy ta'lim, tabiiy ofatlar, ijtimoiy-iqtisodiy inqirozlar, shaxsiy hayotdagi og'ir voqealar) talabalar emotsional holatini psixodiagnostika va psixokorreksiya qilish masalalariga bag'ishlangan. Maqola nazariy asoslarni keng yoritib, O‘zbekistonlik olimlarning ishlariga asoslanib, mavjud tadqiqot natijalari va amaliy modellarni tahlil qiladi (empirik sinovlar va tajriba guruhlarsiz). Ekstremal vaziyatlarda talabalar orasida tashvish, depressiya, stress va emotsional charchoq darajasi keskin oshib, o‘qish samaradorligi, motivatsiya va ijtimoiy moslashuvga salbiy ta'sir ko‘rsatadi. Psixodiagnostika uchun Spielberger-Xanin metodikalari, Beck depressiya shkalasi, Lüscher rang testi va Taylor bezovtalik shkalasi kabi vositalar tavsiya etiladi. Psixokorreksiya esa autogen trening, kognitiv-xulqiy yondashuv, vizualizatsiya, nafas olish texnikalari, guruhli psixologik yordam va profilaktik choralar orqali amalga oshirilishi mumkin. O‘zbekiston kontekstida bu masalalar ekstremal psixologiya darsliklari, favqulodda holatlardagi psixologik xizmat modellari va aholining turli qatlamlariga (shu jumladan talabalarga) moslashtirilgan yondashuvlar asosida muhokama qilinadi. Maqola oliy ta'lim muassasalarida psixologik profilaktika, yordam tizimini rivojlantirish va talabalar ruhiy salomatligini mustahkamlashga hissa qo‘shishni maqsad qilgan.