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198 results for “SG”

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ClinicalTrials.gov24/100

Adaptive RADiation Therapy with Concurrent Sacituzumab Govitecan (SG) for Muscle Invasive Bladder Cancer

ClinicalTrials.gov study NCT05833867. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Sleeve Gastrectomy With Reestablishment of the Acute Angle of His (SG-REACH) in Obese Patients

ClinicalTrials.gov study NCT05452980. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Sleeve Gastrectomy With Uncut Jejunal Bypass (SG-uncut JJB) Verus Sleeve Gastrectomy in Obese Patients

ClinicalTrials.gov study NCT04534504. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Study for Hyalobarrier to Evaluate Anti-adhesive Effect and Safety Compared to Guardix-SG After Thyroidectomy

ClinicalTrials.gov study NCT01696305. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

NeoAdj. Therapy Comparing Sacituzumab Govitecan (SG) vs. SG+Pembrolizumab in Low-risk, Triple-neg. EBC (ADAPT-TN-III)

ClinicalTrials.gov study NCT06081244. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

SG Healthcare and Assistive Robotics Programme (SHARP) - Proof of Concept Study

ClinicalTrials.gov study NCT04315389. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

SG and Immunotherapy as Maintenance Therapy for Extensive-stage Small-cell Lung Cancer

ClinicalTrials.gov study NCT07339059. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Retrospective Comparison of Lap and Robotic-Assisted RYGB and SG

ClinicalTrials.gov study NCT04329780. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Expression data from the murine salivary gland (SG; submandibular gland) 8 weeks after the ovariectomy (OVX) or sham surgery (Cont)

GEO Series GSE241395. Mus musculus. 6 samples. Type: Expression profiling by array.

openGEO-OpenDec 2024View details →
geo20/100

Gene expression signature of the three major epidermal differentiation compartments: interfollicular epidermis (IFE), hair follicle (HF) and sebaceous gland (SG).

GEO Series GSE62604. Mus musculus. 9 samples. Type: Expression profiling by array.

openGEO-OpenMay 2017View details →
zenodo20/100

SG Wismut Gera

<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652096288.8423.jpg">https://4dcity.org/imgupload/1652096288.8423.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.stadtmuseum.leipzig.de%2FDE-MUS-853418%2Fmedien%2FwmMedium%3DSPP09986&amp;type=IMAGE">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.stadtmuseum.leipzig.de%2FDE-MUS-853418%2Fmedien%2FwmMedium%3DSPP09986&amp;type=IMAGE</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652096288.8423.jpg<br>Image Dimensions: 350x256<br>Megapixels: 0.09 MP<br>Filesize: 60.09 KB<br><br>ResolutionUnit: 2<br>ExifOffset: 276<br>ImageDescription: JENOPTIK DIGITAL CAMERA <br>Make: JENOPTIK OPTICAL CO,LTD<br>Model: JD3300<br>Software: Adobe Photoshop Elements 2.0<br>Orientation: 1<br>DateTime: 2006:07:25 10:18:06<br>YCbCrPositioning: 2<br>XResolution: 150.0<br>YResolution: 150.0<br>ExifVersion: 0210<br>ComponentsConfiguration: <br>CompressedBitsPerPixel: 0.2543315848036878<br>DateTimeOriginal: 2001:02:25 00:50:37<br>DateTimeDigitized: 2001:02:25 00:50:34<br>ShutterSpeedValue: 5.75<br>ApertureValue: 3.5055<br>ExposureBiasValue: 0.0<br>SubjectDistance: nan<br>MeteringMode: 0<br>Flash: 1<br>FocalLength: 8.24<br>ColorSpace: 1<br>ExifImageWidth: 620<br>ExifImageHeight: 454<br>ISOSpeedRatings: 100<br>FlashPixVersion: 0100

restrictedMay 2022View details →
zenodo20/100

SG-2019-12371302_Generation of tissue surrogates rich in extracellular matrix as a scaffolds for the delivery of angiogenesis competent progenitor cells in the treatment of chronic wounds

<p>Dataset del progetto intitolato "Generation of tissue surrogates rich in extracellular matrix as a scaffolds for the delivery of angiogenesis competent progenitor cells in the treatment of chronic wounds"</p> <p>codice progetto: SG-2019-12371302</p>

restrictedcc-by-4.0Jul 2024View details →
ClinicalTrials.gov20/100

Sequencing SG vs. T-DXd in HER2-Low/TROP2-High Metastatic Breast Cancer

ClinicalTrials.gov study NCT07368543. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
nasa20/100

Lidar Atmopheric Sensing Experiment (LASE) Data Obtained During the Southern Great Plains (SGP97) Field Experiment

The LASE Southern Great Plains (SGP97) field experiment was conducted in Oklahoma during June-July 1997. SGP97 was a NASA EOS Interdisciplinary Science Investigation to validate soil moisture retrieval algorithms at satellite temporal and spatial scales using remote sensing moisture measurements from aircraft and in situ soil measurements. One of the major objectives of SGP97 was the study of the impact of soil moisture on the atmospheric boundary layer (ABL) development. To aid convective boundary layer (CBL) studies, LASE was deployed on the NASA P-3B aircraft along with other instruments. LASE (Lidar Atmospheric Sensing Experiment) airborne lidar produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. Such profiles show the vertical context in which the SGP97 in situ and radiometric measurements are made, thus supporting the vertical extension of the in situ measurements and detecting any unsampled layers or inhomogeneities, which would impact the surface and airborne measurements.

restrictednotspecifiedMar 2025View details →
zenodo16/100

Dataset project SG-2019-12369935

<p>The present database collects multidomain variables recorded from a set of 302 infants at higher likelihood of developing autism spectrum disorder (HL-ASD), higher likelihood of developing language learning impairment (HL_LLI) and lower likelihood for both ASD and LLI (LL). Inclusion criteria related to the three groups are reported in Piazza et al., 2023. Below there is the description of each variable available in the database.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column A, Family risk: 0 = LL subject; 1 = HL_LLI subject; 2 = HL_ASD subject;</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column B, Clinical_risk_T36: 0 = typically developing (TD); 1 = ASD; 2 = LLI; 3 = other; The TD group included only children from the original LL group who at 36 month of age scored above the 30th percentile in the parent-administered Language Development Survey (LDS, Rescorla nad Alley, 2001), a questionnaire aimed at assessing expressive language development (standardized norms available for the Italian population (Rescorla et al., 2014).&nbsp;The clinical risk for ASD was confirmed based on the presence of a diagnosis of ASD according to the criteria of the DSM-5 diagnostic manual (APA, 2013) or the presence of moderate/severe autistic signs, assessed through the administration of the ADOS-2 at 36 months, with comparison scores &gt; 6 (Dodd and Carr, 2003; Lord et al., 2012). The clinical risk for LD was confirmed under the following conditions: (a) obtaining a percentile &lt; 5th percentile or &lt; -2 SD in at least one standardized language test conducted at 36 months (expressive vocabulary, lexical comprehension, naming); (b) obtain a percentile &lt; 10th or &lt; -1.5 SD in at least two of the three tests listed above; (c) obtain a phono-articulatory accuracy score (Percentage of Correct Consonants) &lt; 55% (Dodd and Carr, 2003); or (d) present a clinical indication of delayed/atypical phonological processes.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column C, T6_age: age in days of the EEG recording performed at 6 months of age.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column D, T12_age: age in days of the EEG recording performed at 12 months of age.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column E, Gender: 0 = male; 1 = female.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column F, Age_m: age of the mother at birth (years).</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column G, Age_f: age of the father at birth (years).</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column H, Pregnancy_diseases: 0 = no; 1 = yes.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column I, Delivery_problems: 0 = no; 1 =yes.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column J, Breastfeeding: 1 = yes; 2 = no; 3 = mixed.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column K, EDUMD: Maternal education scored on an ad-hoc 90-point ordinal scale based on the Italian school system. Scores range between 10, corresponding to the fifth grade of elementary school; 50, equivalent to a high-school diploma; and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;90, corresponding to post-doctoral degree.</p> <p>&middot; &nbsp; Column L, EDUPD: Paternal education scored on an ad-hoc 90-point ordinal scale based on the Italian school system. Scores range between 10, corresponding to the fifth grade of elementary school; 50, equivalent to a high-school diploma; and &nbsp;&nbsp;&nbsp;90, corresponding to post-doctoral degree.</p> <p>&middot; &nbsp; Column M, SES: Socio-Economic Status scored according to Hollingshead 90-point scale, whereby a score ranging 10&ndash;90 was assigned to each parental job and the higher of two scores was used when both parents were employed (Hollingshead, 1975). Scores range between 10, corresponding to unskilled workers; 50, corresponding to sales workers; and 90, corresponding to major professionals.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column N, GW: Gestational age, i.e. number of weeks of gestation at birth.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column O, BW: Weight at birth in grams.</p> <p>&middot;&nbsp; &nbsp; Column P, T6_IQ: IQ assessed at 6 months of age according to the Bayley Scales of Infant and Toddler Development- Third Edition (Bayley, 2006) and/or Griffiths mental development scales (0-2) (GMDS-R, Luiz et al., 2006).</p> <p>&middot; &nbsp;&nbsp; Column Q, T24_IQ: IQ assessed at 24 months of age according to the Bayley Scales of Infant and Toddler Development- Third Edition (Bayley, 2006) and/or Griffiths mental development scales (0-2) (GMDS-R, Luiz et al., 2006).</p> <p>&middot; &nbsp;&nbsp; Column R, T24_VOC_pct: Expressive vocabulary at 24 months of age, scored according to the Language Development Survey (LDS) (Rescorla et al., 2014) and/or the PVB questionnaire (Caselli e Casadio, 1995). Percentile scores are reported.</p> <p>&middot; &nbsp;&nbsp; Column S, T36_VOC_pct: Expressive vocabulary at 36 months of age, scored according to the Language Development Survey (LDS) (Rescorla et al., 2014) and/or the PVB questionnaire (Caselli e Casadio, 1995). Percentile scores are reported.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column T, ADOS_CSS_TOT: ADOS-2 (Calibrated Severity Scores-CSS) total score at 36 months. To maximize statistical power, ADOS-2 scores at 18&ndash;24 months were used for children who did not have clinical data at 36 months.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column U, CNTNAP2rs745AT: genotypes of the rs745 SNP of the CNTNAP2 gene, 0 = AA; 1 = AT; 2 = TT.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column V, CNTNAP2rs102TC: genotypes of the rs745 SNP of the CNTNAP2 gene, 0 = TT; 1 = TC; 2 = CC.</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column W, Time_point: 1 = EEG data acquired at 6 months old (T6); 2 = EEG data acquired at 12 months old (T12).</p> <p>&middot; &nbsp;&nbsp; Column Y-AI, PSD_frequencyband_cluster: power values computed for each frequency band (delta, theta, low_alpha, high_alpha, beta and gamma) in two clusters of frontal electrodes (frontal left, frontal right). See Piazza et al., 2023 for more details.</p> <p>&middot;&nbsp; &nbsp; &nbsp;Column AJ-AK, DFA _cluster: exponent of the Detrend Fluctiation Analysis (DFA) computed in two clusters of frontal electrodes (frontal left, frontal right, Piazza et al., 2023). The amplitude envelope of the signal was extracted using the Hilbert transform and used for the DFA, implemented as described in Peng et al. (1995), obtaining the DFA exponent.</p> <p>&middot; &nbsp;&nbsp;&nbsp;&nbsp;Column AL-AQ, MSE values. MSE was computed using the mMSE toolbox (Kosciessa et al., 2020) for scale 1 to 30. Successively, the MSE computed for scale 1 to 10, 11 to 20 and 21 to 30 were averaged for each analyzed channel, thus obtaining three MSE values related respectively to low, medium and high scales. Again two clusters of frontal electrodes have been analyzed (frontal left, frontal right, Piazza et al., 2023).</p> <p>&middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Column AR-BC, Functional Connectivity metrics (magnitude squared coherence, MSC, and phase lag index, PLI) computed for all frequency bands (delta, theta, low_alpha, high_alpha, beta and gamma). See Falivene et al., 2024 for the details.</p> <p>&middot; &nbsp; Column BD-BG, offset (off) and exponent (exp) of the spectrum aperiodic component computed for two clusters of frontal electrodes (frontal left, frontal right, Piazza et a., 2023). The specparam algorithm version 1.1.0 of Donoghue et al. 2020 was employed for the calculation of aperiodic exponent and offset.</p> <p>&nbsp;</p> <p>If you use this dataset please cite the following manucripts:</p> <p>Piazza, C., Dondena, C., Riboldi, E. M., Riva, V., &amp; Cantiani, C. (2023). Baseline EEG in the first year of life: Preliminary insights into the development of autism spectrum disorder and language impairments.&nbsp;<em>Iscience</em>,&nbsp;<em>26</em>(7).</p> <p>Falivene, A.; Cantiani, C.; Dondena, C.; Riboldi, E.M.; Riva, V.; Piazza, C. EEG Functional Connectivity Analysis for the Study of the Brain Maturation in the First Year of Life. Sensors 2024, 24, 4979.&nbsp;</p> <p>&nbsp;</p> <p>This research was funded by the Italian Ministry of Health (Ricerca Finalizzata SG-2019-12369935; Ricerca corrente; "5 per mille" funds for biomedical research).</p>

embargoedcc-by-nc-4.0Nov 2024View details →
zenodo16/100

Dataset for the project "Tactile mirror system in borderline personality disorder: a multimodal approach to study brain connectivity and plasticity" (SG-2019-12370473)

<p><strong>Aim 1:</strong></p> <p>Assessment of TaMS alterations in BPD at behavioral and neurophysiological level, focusing on effective connectivity pattern by means of TMS-EEG, and its relationship with empathic abilities (Exp. 1).</p> <p><strong>Aim 2:</strong></p> <p>Assessment of plasticity mechanisms within TaMS in BPD by means of a cross-modal PAS protocol and their relationship&nbsp;with empathic abilities (Exp. 2).</p> <p>&nbsp;</p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p>Folder: <strong>Aim1</strong></p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>READ ME</strong> AIM1.txt explains folder structure and file content details.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; File: <strong>SG2019_Aim1_Demographics.xlsx </strong>contains demographic data.&nbsp;</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; File <strong>SG2019_Aim1_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaires.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; File:<strong> SG2019_Aim1_rMT.xlsx&nbsp;</strong>contains the rMT measured to set TMS intensity.</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; File <strong>SG2019_Aim1_VTSC.xlsx&nbsp;</strong>contains data on behavioral performance (RTs and number of errors).</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; Subfolder:&nbsp; <strong>TMS-Evoked Potentials</strong>. Data are organized in 6 files per group according to trial type (.mat format).</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; Subfolder:&nbsp; <strong>Event-Related Potentials</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; Subfolder:&nbsp; <strong>Time-frequency Pattern</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p>&nbsp;</p> <p>Folder:&nbsp;<strong>Aim2</strong></p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>READ ME</strong> AIM2.txt explains folder structure and file content details.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; File: <strong>SG2019_Aim2_Demographics.xlsx </strong>contains demographic data.&nbsp;</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; File <strong>SG2019_Aim2_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaire.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; File:<strong> SG2019_Aim2_rMT.xlsx </strong>contains the rMT measured to set TMS intensity in the two experimental sessions and which session was performed first.</p> <p>-&nbsp; &nbsp; &nbsp; &nbsp; File <strong>SG2019_Aim2_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors) in the two experimental sessions.</p> <p>&nbsp;</p> <p><strong>Acronym list:</strong></p> <p><u>BPD</u>: borderline personality disorder</p> <p><u>EEG</u>: electroencephalography</p> <p><u>HC</u>: healthy controls</p> <p><u>PAS</u>: paired associative stimulation</p> <p><u>pw-BPD</u>: patients with BPD</p> <p><u>rMT</u>: resting motor threshold</p> <p><u>TaMS</u>: tactile mirror system</p> <p><u>TMS</u>: transcranial magnetic stimulation</p> <p><u>VTSC</u>: visuo-tactile spatial congruity task</p> <p>&nbsp;</p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>

restrictedcc-by-nc-4.0Jun 2024View details →
zenodo16/100

Urban-PLUMBER: Flux tower data archive – SG-TelokKurau

<p>Eddy covariance flux tower dataset from Telok Kurau, Singapore (March 2015 &ndash; Feb. 2016) for the URBAN-PLUMBER model evaluation project (<a href="https://urban-plumber.github.io/SG-TelokKurau/">https://urban-plumber.github.io/SG-TelokKurau/</a>). Urban-PLUMBER evaluates the performance of land surface models used in meteorological or climatic simulations of urban areas (<a href="https://urban-plumber.github.io/">https://urban-plumber.github.io/</a>).</p>

restrictedSep 2021View details →
geo12/100

SG ORC ChIP-Seq experiment

GEO Series GSE28069. Drosophila melanogaster. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMar 2011View details →

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Allen Brain Atlas

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neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
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OpenNeuro

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Last verified 2026-04-29Open record