cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc91dxm
title: CCDC 269480: Experimental Crystal Structure Determination

description: Related Article: J.F.Bringley, M.Rajeswaran, L.P.Olson, N.M.Liebert|2005|J.Solid State Chem.|178|3074|doi:10.1016/j.jssc.2005.07.018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.wze84f
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rebecca salina"
 ]
}

 The dataset includes 292 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024244-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc91zy7
title: CCDC 270039: Experimental Crystal Structure Determination

description: Related Article: E.C.E.Rosenthal, Huiling Cui, J.Koch, P.E.Gaede, M.Hummert, S.Dechert|2005|Dalton Trans.||3108|doi:10.1039/b505750g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7910/dvn/y4dxso
title: Replication Data for: Simulation data

description: The simulation is in COMSOL with .mph format. One is simulation of a peanut particle in a unit cell DLD device with the csv file includin exported data. 

The 2ndand 3rd simulation is for snowman particles in one unit cell and their corresponding csv files. the COMSOL file for snowman simulation is too large and cannot be uploaded here.
DOI: 10.15468/dl.2nb2gz
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Côte d’Ivoire",
 "TaxonKey is Ricinodendron heudelotii"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024245-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chjsf2
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceriops decandra"
 ]
}

 The dataset includes 373 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024246-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/ryqbsw
title: UPE_L_hour.csv

description: Uploaded with pyDataverse 2023-08-18 07:21
DOI: 10.22008/fk2/iw73uu/pix5io
title: UPE_L_month.csv

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/qvpm23
title: UPE_L_hour.nc

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/i4ueym
title: UPE_L_day.nc

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.7910/dvn/c8nyso
title: Visual analysis of spatial-temporal data in the digital humanities

description: Empirical data supporting text "Visual analysis of spatial-temporal data in the digital humanities"
DOI: 10.22008/fk2/iw73uu/fcxluu
title: UPE_L_month.nc

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/6yn1rf
title: UPE_U_hour.csv

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/unrwjm
title: UPE_U_day.csv

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/iyxqxd
title: UPE_U_month.csv

description: Uploaded with pyDataverse 2023-08-18 07:22
DOI: 10.22008/fk2/iw73uu/les9hf
title: UPE_U_hour.nc

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/vwq2bj
title: UPE_U_day.nc

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/k0jes4
title: UPE_U_month.nc

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/w62n2v
title: UWN_day.csv

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/p71tbs
title: UWN_hour.csv

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/pkhthz
title: UWN_month.csv

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/iyzjeo
title: UWN_hour.nc

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/37x00i
title: UWN_day.nc

description: Uploaded with pyDataverse 2023-08-18 07:23
DOI: 10.22008/fk2/iw73uu/qytgej
title: UWN_month.nc

description: Uploaded with pyDataverse 2023-08-18 07:24
DOI: 10.22008/fk2/iw73uu/qvc7ww
title: WEG_B_day.csv

description: Uploaded with pyDataverse 2023-08-18 07:24
DOI: 10.22008/fk2/iw73uu/k1bufk
title: WEG_B_hour.csv

description: Uploaded with pyDataverse 2023-08-18 07:24
DOI: 10.22008/fk2/iw73uu/bvtn4v
title: WEG_B_month.csv

description: Uploaded with pyDataverse 2023-08-18 07:24
DOI: 10.15468/dl.dnrz47
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micarea lithinella)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024409-260208012135463/datasets/export for details.
DOI: 10.15468/dl.dr4nhd
title: Occurrence Download

description: A dataset containing 10529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaethontiformes",
 "Year 2023-2024"
 ]
}

 The dataset includes 10529 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024410-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31354146
title: Green extraction and RSM optimization of <i>Peganum harmala</i> shoots for antioxidant and anti-inflammatory properties: modulation of pro-inflammatory cytokines

description: This study was aimed at optimizing ultrasound-assisted extraction (UAE) of bioactive compounds from <i>Peganum harmala</i> shoots using response surface methodology (RSM). Ethanol concentration (73%), ultrasonic power (20%), and extraction time (12 min) were optimized to maximize antioxidant yield. The resulting fraction, enriched with β-sitosterol (19.08%) and phytol (16.51%) as determined by GC–MS, showed strong DPPH<sup>•</sup> (61.44%) and ABTS<sup>•+</sup> (81.91%) radical scavenging capacities. <i>In-vitro</i> tests with LPS-stimulated RAW 264.7 macrophages demonstrated significant suppression of pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α) without any cytotoxicity. These findings demonstrate the therapeutic potential of <i>P. harmala</i> for combating inflammation and oxidative stress, offering potential applications in pharmaceutical and nutraceutical industries.
DOI: 10.6084/m9.figshare.31354146.v1
title: Green extraction and RSM optimization of <i>Peganum harmala</i> shoots for antioxidant and anti-inflammatory properties: modulation of pro-inflammatory cytokines

description: This study was aimed at optimizing ultrasound-assisted extraction (UAE) of bioactive compounds from <i>Peganum harmala</i> shoots using response surface methodology (RSM). Ethanol concentration (73%), ultrasonic power (20%), and extraction time (12 min) were optimized to maximize antioxidant yield. The resulting fraction, enriched with β-sitosterol (19.08%) and phytol (16.51%) as determined by GC–MS, showed strong DPPH<sup>•</sup> (61.44%) and ABTS<sup>•+</sup> (81.91%) radical scavenging capacities. <i>In-vitro</i> tests with LPS-stimulated RAW 264.7 macrophages demonstrated significant suppression of pro-inflammatory cytokines (IL-1β, IL-6, and TNF-α) without any cytotoxicity. These findings demonstrate the therapeutic potential of <i>P. harmala</i> for combating inflammation and oxidative stress, offering potential applications in pharmaceutical and nutraceutical industries.
DOI: 10.15468/dl.ne7pkj
title: Occurrence Download

description: A dataset containing 1880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnephilus hirsutus"
 ]
}

 The dataset includes 1880 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003885-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5v11w055
title: MassIVE MSV000100936 - The lipid transfer protein STARD7 controls intestinal tumor development in a contextdependent manner - SubcellularNeg
title: lipid extracts were then individually transferred to new vials and separated on a Dionex UltiMate 3000 LC System (Thermo Scientific, Waltham, Massachusetts, EUA) using a Kinetex C18 EVO 2.6uM, 100A, 150 x 0.3 mm LC Column. Mobile phases consist of (A) H2O - 5mM ammonium formate, 0.1% Formic acid, (B) 60% Acetonitrile: 40% Methanol - 5mM ammonium formate, 0.1% Formic acid, and (C) Isopropanol - 5mM ammonium formate, 0.1% Formic acid. Detailed information on the gradient (time and Flow) are available upon request. Mass spectrometry data were acquired on a Q Exactive Plus Hybrid Quadrupole-Orbitrap Mass Spectrometer (Thermo Scientific, Waltham, Massachusetts, EUA) using data dependent acquisition in positive and negative ion mode. The parameters used were: Full MS: Resolution: 70,000; AGC target: 1e6; Max IT: 100 ms; Scan range: 90 to 1350 m/z. dd-MS2: Resolution: 17,500; AGC target: 1e5; Max IT: 120 ms; Loop count: 5; TopN: 5; Isolation window: 1.5 m/z. Data were processed using compound discovery (Thermo Scientific, Waltham, Massachusetts, EUA) and lipids identification was performed using Lipidex.
DOI: 10.5281/zenodo.18744228
title: ПОКАЗАНИЯ К КЕСАРЕВУ СЕЧЕНИЮ И ЕГО ИСХОДЫ В ГОРОДЕ ФЕРГАНА

description: Введение. Кесарево сечение является ключевой технологией снижения материнской и перинатальной смертности при осложнённой беременности и родах. Одновременно рост частоты операций актуализирует задачу клинической обоснованности показаний и контроля исходов, поскольку повторные вмешательства, экстренный характер операции и сопутствующая акушерская патология ассоциированы с повышением риска кровотечений, инфекционных осложнений и неблагоприятных неонатальных исходов.
DOI: 10.5281/zenodo.18744227
title: ПОКАЗАНИЯ К КЕСАРЕВУ СЕЧЕНИЮ И ЕГО ИСХОДЫ В ГОРОДЕ ФЕРГАНА

description: Введение. Кесарево сечение является ключевой технологией снижения материнской и перинатальной смертности при осложнённой беременности и родах. Одновременно рост частоты операций актуализирует задачу клинической обоснованности показаний и контроля исходов, поскольку повторные вмешательства, экстренный характер операции и сопутствующая акушерская патология ассоциированы с повышением риска кровотечений, инфекционных осложнений и неблагоприятных неонатальных исходов.
DOI: 10.15468/dl.hq9bgp
title: Occurrence Download

description: A dataset containing 403193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "Geometry POLYGON ((14.8236 56.09605, 14.82118 56.14307, 14.81434 56.18996, 14.80309 56.23657, 14.78744 56.2828, 14.76743 56.3285, 14.74308 56.37355, 14.71445 56.41783, 14.68161 56.4612, 14.64464 56.50356, 14.60363 56.54477, 14.55867 56.58472, 14.5099 56.6233, 14.45742 56.6604, 14.40139 56.69591, 14.34196 56.72973, 14.27928 56.76176, 14.21353 56.79191, 14.14489 56.82009, 14.07355 56.84622, 13.99973 56.87023, 13.92362 56.89204, 13.84545 56.91159, 13.76544 56.92883, 13.68382 56.9437, 13.60084 56.95616, 13.51673 56.96617, 13.43174 56.97371, 13.34612 56.97874, 13.26011 56.98127, 13.17399 56.98127, 13.08799 56.97875, 13.00237 56.97373, 12.91738 56.9662, 12.83328 56.9562, 12.7503 56.94375, 12.66869 56.92889, 12.58869 56.91167, 12.51053 56.89213, 12.43443 56.87033, 12.36061 56.84634, 12.28929 56.82023, 12.22066 56.79206, 12.15491 56.76193, 12.09224 56.72993, 12.03281 56.69613, 11.97677 56.66065, 11.9243 56.62357, 11.87551 56.58502, 11.83055 56.5451, 11.78952 56.50391, 11.75253 56.46159, 11.71967 56.41824, 11.69102 56.374, 11.66664 56.32897, 11.64659 56.2833, 11.6309 56.23711, 11.6196 56.19052, 11.61272 56.14366, 11.61024 56.09667, 11.61217 56.04967, 11.61847 56.00279, 11.62913 55.95615, 11.64408 55.9099, 11.66329 55.86414, 11.68667 55.819, 11.71416 55.77461, 11.74567 55.73107, 11.78109 55.68852, 11.82033 55.64706, 11.86327 55.6068, 11.90978 55.56785, 11.95972 55.53032, 12.01297 55.49429, 12.06937 55.45986, 12.12877 55.42713, 12.191 55.39618, 12.2559 55.36709, 12.32329 55.33993, 12.39299 55.31478, 12.46482 55.29171, 12.5386 55.27076, 12.61412 55.252, 12.69119 55.23548, 12.76961 55.22123, 12.84918 55.20929, 12.9297 55.1997, 13.01095 55.19248, 13.09273 55.18764, 13.17483 55.18521, 13.25704 55.18518, 13.33915 55.18756, 13.42095 55.19233, 13.50222 55.1995, 13.58277 55.20904, 13.66237 55.22092, 13.74084 55.23512, 13.81796 55.25159, 13.89354 55.27031, 13.96737 55.29121, 14.03927 55.31424, 14.10904 55.33936, 14.17651 55.36648, 14.24148 55.39554, 14.30379 55.42646, 14.36327 55.45917, 14.41976 55.49357, 14.47309 55.52959, 14.52313 55.56711, 14.56973 55.60606, 14.61275 55.64631, 14.65208 55.68777, 14.68759 55.73033, 14.71918 55.77386, 14.74675 55.81827, 14.77021 55.86342, 14.78949 55.90919, 14.80452 55.95547, 14.81524 56.00212, 14.82161 56.04903, 14.8236 56.09605))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2022"
 ]
}

 The dataset includes 403193 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003839-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/s1nfpy
title: Relevance Acquisition through Motivational Incentives: Modeling the time-course of associative learning and the role of visual features

description: The dataset comprises structured behavioral, psychophysiological, and computational modeling data collected to investigate how motivational relevance is acquired for symbolic stimuli through incentive learning and how visual features contribute to associative learning dynamics. It includes trial-level measures of participants’ response times, accuracy, and choice behaviors obtained during associative learning tasks where previously neutral symbolic visual stimuli were paired with varying monetary or motivational incentives. Concurrent psychophysiological recordings include time-resolved pupil dilation responses and event-related brain potentials (ERPs) that index sensory and cognitive processing at multiple temporal stages of stimulus evaluation. The dataset also contains quantified visual feature descriptors for all stimuli (e.g., luminance, contrast, spatial frequency), condition labels identifying learning phases and incentive strengths, and parameters from computational models fitted to individual learning trajectories. Metadata encompass participant identifiers and demographics (e.g., age, gender), experimental session details (e.g., trial timing, block structure, counterbalancing variables), equipment specifications (eye-tracking and EEG systems, sampling rates), preprocessing pipelines, and versioned analysis code with environment dependencies.
DOI: 10.5285/4b7afeaa-d1f0-0066-e063-7086abc0e5b6
title: Particulate organic carbon and krill faeces and eggs data from a high frequency moored sediment trap deployed in the Weddell Sea shelf during the PICCOLO research cruise SD035 in January-February 2024.

description: A high-frequency (2-day) moored sediment trap was deployed in the Weddell Sea during the PICCOLO research cruise SD035. Scientists from the British Antarctic Survey (BAS) used the collected samples to resolve short-timescale variability in krill-mediated carbon export over an 18-day period (February 2024). Particulate Organic Carbon (POC),  and krill faeces and egg fluxes were investigated. Faeces were analysed in term of size, composition, and state of degradation. Both faeces and eggs carbon contribution to the total POC was calculated.
DOI: 10.15468/dl.xpy2cs
title: Occurrence Download

description: A dataset containing 15097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis geminata"
 ]
}

 The dataset includes 15097 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003886-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v85wxj
title: Occurrence Download

description: A dataset containing 3046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnephilus ignavus"
 ]
}

 The dataset includes 3046 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003888-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ymhmx
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnephilus italicus"
 ]
}

 The dataset includes 115 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003889-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peszpk
title: Occurrence Download

description: A dataset containing 12010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archichauliodes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12010 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003887-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.ysnvr6fb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (891 records)
DOI: 10.5281/zenodo.18540509
title: Territorio, salud y educación: mapa interactivo de la educación hospitalaria en España (curso 2024/2025)

description: Esta publicación presenta la versión 2 del mapa interactivo de la educación hospitalaria en España correspondiente al curso 2024/2025. Ofrece una visualización territorial actualizada de la distribución y características de las aulas hospitalarias y otros dispositivos educativos vinculados a contextos hospitalarios y sociosanitarios.

El recurso se enmarca en una investigación doctoral en curso y está concebido como una herramienta de exploración, análisis descriptivo y apoyo a la investigación, la planificación educativa y el estudio de la equidad territorial en el ámbito de la educación hospitalaria.

El mapa se basa en un dataset original de elaboración propia, construido a partir de la recopilación, verificación y sistematización de información procedente de múltiples fuentes institucionales y educativas.

Esta versión incluye únicamente la visualización interactiva en formato HTML. El mapa puede visualizarse descargando el archivo HTML incluido en esta publicación y abriéndolo en un navegador web. El dataset analítico completo, base empírica de varios trabajos científicos en curso, se publicará en una fase posterior del proyecto.

Cualquier uso del mapa o de la información mostrada en él debe citar adecuadamente esta publicación mediante su DOI.

 

English summary: This publication presents version 2 of an interactive map visualising updated territorial data on hospital education provision in Spain for the 2024/2025 academic year. The full analytical dataset underpinning the map is not included at this stage, as it is currently being used for ongoing scientific publications.
DOI: 10.5281/zenodo.18246057
title: Territorio, salud y educación: mapa interactivo de la educación hospitalaria en España (curso 2024/2025)

description: Esta publicación presenta la versión 2 del mapa interactivo de la educación hospitalaria en España correspondiente al curso 2024/2025. Ofrece una visualización territorial actualizada de la distribución y características de las aulas hospitalarias y otros dispositivos educativos vinculados a contextos hospitalarios y sociosanitarios.

El recurso se enmarca en una investigación doctoral en curso y está concebido como una herramienta de exploración, análisis descriptivo y apoyo a la investigación, la planificación educativa y el estudio de la equidad territorial en el ámbito de la educación hospitalaria.

El mapa se basa en un dataset original de elaboración propia, construido a partir de la recopilación, verificación y sistematización de información procedente de múltiples fuentes institucionales y educativas.

Esta versión incluye únicamente la visualización interactiva en formato HTML. El mapa puede visualizarse descargando el archivo HTML incluido en esta publicación y abriéndolo en un navegador web. El dataset analítico completo, base empírica de varios trabajos científicos en curso, se publicará en una fase posterior del proyecto.

Cualquier uso del mapa o de la información mostrada en él debe citar adecuadamente esta publicación mediante su DOI.

 

English summary: This publication presents version 2 of an interactive map visualising updated territorial data on hospital education provision in Spain for the 2024/2025 academic year. The full analytical dataset underpinning the map is not included at this stage, as it is currently being used for ongoing scientific publications.