cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28815974
title: Tjøtta lambing dataset

description: Wearable inertial sensors have been employed to detect lambing in sheep, with findings indicating that the most noticeable indicator of lambing is the sheep repeatedly standing up and lying down due to discomfort. In this study, a group of sheep was monitored using an accelerometer sampling at 20Hz; while lambing events were recorded on video to accurately determine the timing of births. Video analysis enabled the recording of birth times, along with additional details such as the number of lambs born and whether nursing assistance was required. The data was organized by individual ewe and stored in separate files, supplemented with information such as the ewe's birth year, previous lambing history, and ultrasound records. The dataset also includes a video of one birth to demonstrate animal behavior during the process. Over the course of the trial, 61 ewes were monitored, resulting in the birth of 113 lambs. This dataset has the potential to train an algorithm for classifying birth-related behaviors, paving the way for an automated lambing detection system.
DOI: 10.6084/m9.figshare.28815974.v2
title: Tjøtta lambing dataset

description: Wearable inertial sensors have been employed to detect lambing in sheep, with findings indicating that the most noticeable indicator of lambing is the sheep repeatedly standing up and lying down due to discomfort. In this study, a group of sheep was monitored using an accelerometer sampling at 20Hz; while lambing events were recorded on video to accurately determine the timing of births. Video analysis enabled the recording of birth times, along with additional details such as the number of lambs born and whether nursing assistance was required. The data was organized by individual ewe and stored in separate files, supplemented with information such as the ewe's birth year, previous lambing history, and ultrasound records. The dataset also includes a video of one birth to demonstrate animal behavior during the process. Over the course of the trial, 61 ewes were monitored, resulting in the birth of 113 lambs. This dataset has the potential to train an algorithm for classifying birth-related behaviors, paving the way for an automated lambing detection system.
DOI: 10.6084/m9.figshare.28815974.v1
title: Tjøtta lambing dataset

description: Wearable inertial sensors have been employed to detect lambing in sheep, with findings indicating that the most noticeable indicator of lambing is the sheep repeatedly standing up and lying down due to discomfort. In this study, a group of sheep was monitored using an accelerometer sampling at 20Hz; while lambing events were recorded on video to accurately determine the timing of births. Video analysis enabled the recording of birth times, along with additional details such as the number of lambs born and whether nursing assistance was required. The data was organized by individual ewe and stored in separate files, supplemented with information such as the ewe's birth year, previous lambing history, and ultrasound records. The dataset also includes a video of one birth to demonstrate animal behavior during the process. Over the course of the trial, 61 ewes were monitored, resulting in the birth of 113 lambs. This dataset has the potential to train an algorithm for classifying birth-related behaviors, paving the way for an automated lambing detection system.
DOI: 10.5281/zenodo.18214284
title: From Character to Poem: Nested Contexts and Scalar Limits of Parallelism in Classical Chinese Poetry

description: This dataset accompanies the manuscript "From Character to Poem: Nested Contexts and Scalar Limits of Parallelism in Classical Chinese Poetry." It provides resources for benchmarking parallelism detection in Chinese classical regulated verse (律诗). The core data consists of silver_standard_train.json (80 MB, ~60K poems) and silver_standard_test.json (842 KB) containing pentasyllabic regulated poems from the Tang (唐), Song (宋), Yuan (元), Ming (明), and Qing (清) dynasties. Each poem entry includes:



dynasty—the historical period;

couplets—an array of four couplets, each containing two five-character lines;

char_match—character-level binary parallelism labels indicating whether each of the five corresponding character positions in a couplet pair exhibits semantic/grammatical correspondence (as determined by the shared community membership); 

line_match—couplet-level binary labels indicating whether each couplet as a whole is parallel, as determined by the SikuBERT-based binary classifier;

confidence_scores—model confidence values for each couplet's parallelism classification.


The char_communities.json file provides a character-to-cluster mapping that groups ~6,700 Chinese characters into semantic communities used for generating silver-standard annotations. The evaluation_results.json file contains benchmark results from 100 experimental trials across multiple model architectures (character-level, couplet-level, and poem-level classifiers) with accuracy, precision, recall, and F1 metrics. The source corpus penta_4c_poems.csv includes the raw poems with metadata (dynasty, title, author, form type).
DOI: 10.5281/zenodo.17700791
title: From Character to Poem: Nested Contexts and Scalar Limits of Parallelism in Classical Chinese Poetry

description: This dataset accompanies the manuscript "From Character to Poem: Nested Contexts and Scalar Limits of Parallelism in Classical Chinese Poetry." It provides resources for benchmarking parallelism detection in Chinese classical regulated verse (律诗). The core data consists of silver_standard_train.json (80 MB, ~60K poems) and silver_standard_test.json (842 KB) containing pentasyllabic regulated poems from the Tang (唐), Song (宋), Yuan (元), Ming (明), and Qing (清) dynasties. Each poem entry includes:



dynasty—the historical period;

couplets—an array of four couplets, each containing two five-character lines;

char_match—character-level binary parallelism labels indicating whether each of the five corresponding character positions in a couplet pair exhibits semantic/grammatical correspondence (as determined by the shared community membership); 

line_match—couplet-level binary labels indicating whether each couplet as a whole is parallel, as determined by the SikuBERT-based binary classifier;

confidence_scores—model confidence values for each couplet's parallelism classification.


The char_communities.json file provides a character-to-cluster mapping that groups ~6,700 Chinese characters into semantic communities used for generating silver-standard annotations. The evaluation_results.json file contains benchmark results from 100 experimental trials across multiple model architectures (character-level, couplet-level, and poem-level classifiers) with accuracy, precision, recall, and F1 metrics. The source corpus penta_4c_poems.csv includes the raw poems with metadata (dynasty, title, author, form type).
DOI: 10.5281/zenodo.18214501
title: TA'LIM MUASSASALARI RAHBARLARINING IJTIMOIY-PEDAGOGIK KOMPETENTLIGINI RIVOJLANTIRISHDA MALAKA OSHIRISH TIZIMINING ROLI

description: Mazkur ilmiy maqolada ta’lim muassasalari rahbarlarining ijtimoiy-pedagogik kompetentligini rivojlantirishda malaka oshirish tizimining nazariy va amaliy ahamiyati yoritilgan. Malaka oshirish jarayonida qo‘llaniladigan zamonaviy pedagogik yondashuvlar, innovatsion texnologiyalar hamda interaktiv ta’lim usullarining rahbarlar kasbiy kompetentligini rivojlantirishdagi o‘rni tahlil qilingan. Tadqiqot natijalari malaka oshirish tizimini takomillashtirish bo‘yicha ilmiy-amaliy tavsiyalar ishlab chiqishga xizmat qiladi.
DOI: 10.5281/zenodo.18214500
title: TA'LIM MUASSASALARI RAHBARLARINING IJTIMOIY-PEDAGOGIK KOMPETENTLIGINI RIVOJLANTIRISHDA MALAKA OSHIRISH TIZIMINING ROLI

description: Mazkur ilmiy maqolada ta’lim muassasalari rahbarlarining ijtimoiy-pedagogik kompetentligini rivojlantirishda malaka oshirish tizimining nazariy va amaliy ahamiyati yoritilgan. Malaka oshirish jarayonida qo‘llaniladigan zamonaviy pedagogik yondashuvlar, innovatsion texnologiyalar hamda interaktiv ta’lim usullarining rahbarlar kasbiy kompetentligini rivojlantirishdagi o‘rni tahlil qilingan. Tadqiqot natijalari malaka oshirish tizimini takomillashtirish bo‘yicha ilmiy-amaliy tavsiyalar ishlab chiqishga xizmat qiladi.
DOI: 10.15468/dl.gunqe4
title: Occurrence Download

description: A dataset containing 576291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ukraine",
 "DatasetKey is one of (iNaturalist Research-grade Observations, DOF/BirdLife Denmark - Observations from DOFbasen, EOD – eBird Observation Dataset, Observation.org, Nature data from around the World)",
 "OccurrenceStatus is Present",
 "Year 2024-2026"
 ]
}

 The dataset includes 576291 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003097-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j658yh
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaires Aéro Biodiversité - LFGI - Dijon Darois-Inventaires Aéro Biodiversité - LFGI - Occupation avifaune"
 ]
}

 The dataset's 13 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003098-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18214305
title: PARADOJA DE LA DIURESIS CONSERVADA EN COVID-19 CRÍTICO: DISOCIACIÓN UREA-FLUJO URINARIO Y MORTALIDAD

description: Objetivo: Analizar los factores predictores de necesidad de hemodiálisis y mortalidad mediante análisis multivariado y técnicas de aprendizaje automático en pacientes con neumonía severa por SARS-CoV-2 y LRA no oligúrica. Métodos: Se llevó a cabo un análisis de la incidencia de LRA severa y de las consecuencias de la disponibilidad de Terapia de Reemplazo Renal (TRR) sobre la mortalidad. En un subgrupo de pacientes enfocados en hemodiálisis (n=21), se generaron modelos de regresión logística multivariada, una técnica de aprendizaje automática (Random Forest), la fenotipificación por clústeres (K-Means) y análisis de cinética inflamatoria, para identificar los predictores de mortalidad. Resultados: La incidencia de LRA fue del 29% (n=92). El 53.2% (n=49) de los pacientes que tuvieron indicación de diálisis no accedieron al soporte dialítico por falta de equipos, y presentaron una mortalidad del 100% (RR: 1.10; p < 0.005). Se caracterizó un fenotipo clínico predominante de LRA no oligúrica (diuresis mediana: 2,450 ml/24h) que coexistió con una hiperazoemia crítica (Urea: 191 mg/dl; p < 0.001) producto de una disociación que enmascaró la severidad del fallo depurativo. El análisis de Machine Learning identificó a la Edad (Peso relativo: 0.32) y Urea al inicio de la terapia (Peso: 0.28) como predictoras dominantes en el desenlace fatal, mientras que el volumen urinario conservado expresó una baja relevancia predictiva (Peso: 0.08). Conclusiones: La LRA no oligúrica en COVID-19 se presenta como una "Disociación Urea-Diuresis" donde el volumen urinario actúa como marcador de falsa seguridad. La mortalidad se asoció a una carga catabólica elevada, la que no fue detectada por la diuresis. Palabras clave: Lesión renal aguda; hemodiálisis; Covid-19, terapia de reemplazo renal.
DOI: 10.5281/zenodo.18214304
title: PARADOJA DE LA DIURESIS CONSERVADA EN COVID-19 CRÍTICO: DISOCIACIÓN UREA-FLUJO URINARIO Y MORTALIDAD

description: Objetivo: Analizar los factores predictores de necesidad de hemodiálisis y mortalidad mediante análisis multivariado y técnicas de aprendizaje automático en pacientes con neumonía severa por SARS-CoV-2 y LRA no oligúrica. Métodos: Se llevó a cabo un análisis de la incidencia de LRA severa y de las consecuencias de la disponibilidad de Terapia de Reemplazo Renal (TRR) sobre la mortalidad. En un subgrupo de pacientes enfocados en hemodiálisis (n=21), se generaron modelos de regresión logística multivariada, una técnica de aprendizaje automática (Random Forest), la fenotipificación por clústeres (K-Means) y análisis de cinética inflamatoria, para identificar los predictores de mortalidad. Resultados: La incidencia de LRA fue del 29% (n=92). El 53.2% (n=49) de los pacientes que tuvieron indicación de diálisis no accedieron al soporte dialítico por falta de equipos, y presentaron una mortalidad del 100% (RR: 1.10; p < 0.005). Se caracterizó un fenotipo clínico predominante de LRA no oligúrica (diuresis mediana: 2,450 ml/24h) que coexistió con una hiperazoemia crítica (Urea: 191 mg/dl; p < 0.001) producto de una disociación que enmascaró la severidad del fallo depurativo. El análisis de Machine Learning identificó a la Edad (Peso relativo: 0.32) y Urea al inicio de la terapia (Peso: 0.28) como predictoras dominantes en el desenlace fatal, mientras que el volumen urinario conservado expresó una baja relevancia predictiva (Peso: 0.08). Conclusiones: La LRA no oligúrica en COVID-19 se presenta como una "Disociación Urea-Diuresis" donde el volumen urinario actúa como marcador de falsa seguridad. La mortalidad se asoció a una carga catabólica elevada, la que no fue detectada por la diuresis. Palabras clave: Lesión renal aguda; hemodiálisis; Covid-19, terapia de reemplazo renal.
DOI: 10.5281/zenodo.18214349
title: allonautilus_scrobiculatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18214350
title: allonautilus_scrobiculatus_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.ddvtjk
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chromulinales"
 ]
}

 The dataset's 2 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003099-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18214515
title: SHO'RTAN GKM IKKILAMCHI MAHSULOTI — OG'IR UGLEVODORODLAR ASOSIDA FLOTOREAGENT SINTEZI

description: Mazkur tezisda Sho‘rtan gaz-kimyo majmuasida tabiiy gazni qayta ishlash jarayonida hosil bo‘ladigan og‘ir uglevodorodli ikkilamchi mahsulotlar asosida flotoreagentlar sintez qilish imkoniyatlari o‘rganildi. Og‘ir uglevodorod fraksiyalarini qayta ishlash orqali mahalliy xomashyo asosida samarali flotoreagentlar olish iqtisodiy va ekologik jihatdan muhim ahamiyatga ega.
DOI: 10.5281/zenodo.18214514
title: SHO'RTAN GKM IKKILAMCHI MAHSULOTI — OG'IR UGLEVODORODLAR ASOSIDA FLOTOREAGENT SINTEZI

description: Mazkur tezisda Sho‘rtan gaz-kimyo majmuasida tabiiy gazni qayta ishlash jarayonida hosil bo‘ladigan og‘ir uglevodorodli ikkilamchi mahsulotlar asosida flotoreagentlar sintez qilish imkoniyatlari o‘rganildi. Og‘ir uglevodorod fraksiyalarini qayta ishlash orqali mahalliy xomashyo asosida samarali flotoreagentlar olish iqtisodiy va ekologik jihatdan muhim ahamiyatga ega.
DOI: 10.3886/e243376
title: College of Nursing Sciences, Malumfashi, Katsina State 2026/2027 Admission Form is Out Call ☎️(08039478772) DR MERCY ☎️(+23408039478772), Midwifery Form, Post basic nursing form ,Post basic midwifery Form, Transfer form

description: College of Nursing Sciences, Malumfashi, Katsina State 2026/2027 Admission Form is Out Call ☎️(08039478772) DR MERCY ☎️(+23408039478772), Midwifery Form, Post basic nursing form ,Post basic midwifery Form, Transfer form are all out Call on ☎️(08039478772) on how to purchase the form and register online, For Admission Process on how to be admitted and mode of payment of School Fee And Acceptances Fee Contact Office of the registrar on ☎️(+23408039478772) more Inquiry On AND ADMISSION ASSISTANCE CALL DR. MRS MERCY ON ☎️(08039478772)
DOI: 10.5281/zenodo.18214193
title: Subspace Selected Variational Quantum Configuration Interaction with a Partial Walsh Series

description: Data and scripts for "Subspace Selected Variational Quantum Configuration Interaction with a Partial Walsh Series."
DOI: 10.15468/dl.etgz5c
title: Occurrence Download

description: A dataset containing 1835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notonecta irrorata"
 ]
}

 The dataset includes 1835 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003101-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc4xbv
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Notonecta uhleri"
 ]
}

 The dataset includes 113 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003102-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu9jf8
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Notonecta lobata"
 ]
}

 The dataset includes 44 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003103-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aweh5z
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinchona officinalis"
 ]
}

 The dataset includes 159 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003104-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18214607
title: alophia_drummondii_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18214608
title: alophia_drummondii_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.18214540
title: Networks of Imputation and the Judicial Construction of Conspiracy: A Network Analysis of a Political Case File under the Primo de Rivera Dictatorship (1929)

description: This article proposes a methodological approach based on Social Network Analysis (SNA), critically applied to a judicial case file, specifically to examine the charge of conspiracy formulated in Summary Proceedings 166/1929, conducted during the dictatorship of Primo de Rivera. In contrast to interpretations that assume the existence of an underlying clandestine organization, the study analytically distinguishes between documented networks of sociability and networks of imputation produced by the judicial procedure itself.

Based on the complete transcription of the proceedings, three differentiated network layers are reconstructed: explicitly declared person–person relations, bipartite person–space networks, and person–documentary evidence networks. These layers are projected through a controlled and weighted procedure designed to prevent the analytical fabrication of co-implication based on formal membership or spatial coincidence.

The results reveal an extensive but weak social structure compatible with open cultural and associative environments, alongside intense but localized material evidence insufficient to support the existence of an organized conspiracy. The analysis highlights the active role of judicial proceedings in producing connectivity, centralities, and structural coherence, as well as the function of visual dispositifs—particularly a schematic diagram incorporated into the case file—in anticipating and stabilizing the conspiratorial hypothesis.

In order to ensure transparency and replicability, all data, the complete transcription of the judicial file, and the Python code used in the analysis have been deposited in a public open-access repository (Zenodo). The article concludes that conspiracy does not emerge as a demonstrable empirical reality, but as a judicial construction of relational ties, and proposes a replicable methodological framework for the historical study of political justice and preventive repression.
DOI: 10.5281/zenodo.18214539
title: Networks of Imputation and the Judicial Construction of Conspiracy: A Network Analysis of a Political Case File under the Primo de Rivera Dictatorship (1929)

description: This article proposes a methodological approach based on Social Network Analysis (SNA), critically applied to a judicial case file, specifically to examine the charge of conspiracy formulated in Summary Proceedings 166/1929, conducted during the dictatorship of Primo de Rivera. In contrast to interpretations that assume the existence of an underlying clandestine organization, the study analytically distinguishes between documented networks of sociability and networks of imputation produced by the judicial procedure itself.

Based on the complete transcription of the proceedings, three differentiated network layers are reconstructed: explicitly declared person–person relations, bipartite person–space networks, and person–documentary evidence networks. These layers are projected through a controlled and weighted procedure designed to prevent the analytical fabrication of co-implication based on formal membership or spatial coincidence.

The results reveal an extensive but weak social structure compatible with open cultural and associative environments, alongside intense but localized material evidence insufficient to support the existence of an organized conspiracy. The analysis highlights the active role of judicial proceedings in producing connectivity, centralities, and structural coherence, as well as the function of visual dispositifs—particularly a schematic diagram incorporated into the case file—in anticipating and stabilizing the conspiratorial hypothesis.

In order to ensure transparency and replicability, all data, the complete transcription of the judicial file, and the Python code used in the analysis have been deposited in a public open-access repository (Zenodo). The article concludes that conspiracy does not emerge as a demonstrable empirical reality, but as a judicial construction of relational ties, and proposes a replicable methodological framework for the historical study of political justice and preventive repression.