cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3709005
title: Dataset related to article "Senescent thyrocytes and thyroid tumor cells induce M2-like macrophage polarization of human monocytes via a PGE2-dependent mechanism."

description: BACKGROUND: Thyroid carcinoma includes several variants characterized by different biological and clinical features: from indolent microcarcinoma to undifferentiated and aggressive anaplastic carcinoma. Inflammation plays a critical role in thyroid tumors. Conditions predisposing to cancer, as well as oncogene activity, contribute to the construction of an inflammatory microenvironment that facilitates thyroid tumor progression. Moreover, oncogene-induced senescence, a mechanism tightly connected with inflammation, and able to restrain or promote cancer progression, is involved in thyroid cancer. The interactions between thyroid tumor cells and the microenvironment are not completely clarified. METHODS: We characterize in vitro the interplay between macrophages and senescent thyrocytes and tumor-derived cell lines, modeling early and late thyroid tumor stages, respectively. Purified peripheral blood-derived human monocytes were exposed to thyroid cell-derived conditioned medium (CM) and assessed for phenotype by flow cytometry. The factors secreted by thyroid cells and macrophages were identified by gene expression analysis and ELISA. The protumoral effect of macrophages was assessed by wound healing assay on K1 thyroid tumor cells. The expression of PTGS2 and M2 markers in thyroid tumors was investigated in publicly available datasets. RESULTS: Human monocytes exposed to CM from senescent thyrocytes and thyroid tumor cell lines undergo M2-like polarization, showing high CD206 and low MHC II markers, and upregulation of CCL17 secretion. The obtained M2-like macrophages displayed tumor-promoting activity. Among genes overexpressed in polarizing cells, we identified the prostaglandin-endoperoxide synthase enzyme (PTGS2/COX-2), which is involved in the production of prostaglandin E2 (PGE2). By using COX-2 inhibitors we demonstrated that the M2-like polarization ability of thyroid cells is related to the production of PGE2. Co-expression of PTGS2 and M2 markers is observed a significant fraction of human thyroid tumors. CONCLUSIONS: Our results demonstrate that both senescent thyrocytes and thyroid tumor cell lines trigger M2-like macrophage polarization that is related to PGE2 secretion. This suggests that the interaction with the microenvironment occurs at both early and late thyroid tumor stages, and favors tumor progression. The co-expression of PTGS2 gene and M2 markers in human thyroid carcinoma highlights the possibility to counteract tumor growth through COX-2 inhibition.
DOI: 10.21227/6v3v-me70
title: Twitter Sentiment Analysis Data

description: Collect Corona Virus related Tweets from here.Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. The sentiment scores produced by our model will be made public after the project is completely open-sourced.Tweets containing the term "republic day": 0.37 million-plusTweets containing the term "samsung": 1.20 million-plusTweets containing the term "facebook": 0.77 million-plusTweets containing the term "android": 0.88 million-plusTweets containing the term "oneplus": 15 thousand-plusTweets containing the term "messi": 225 thousand-plusTweets containing the term "housefull 4": 346 thousand-plusTweets containing the term "the joker": 1 million-plusTweets containing the term "iphone 11": 2 million-plus##################References:[1]https://sentiment.live/ [2]https://textblob.readthedocs.io/en/dev/
DOI: 10.21227/nkx7-vf05
title: Corona Virus (COVID-19) Tweets Dataset (en)

description: Each database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/
DOI: 10.5285/0ea3836d-ec6f-4856-b8ba-173c859372bb
title: Processed line aeromagnetic data over the Jutulstraumen rift area (2001/02 season)

description: A British Antarctic Survey Twin Otter and survey team acquired 15,500 line-km of aeromagnetic data during the 2001/02 Antarctic field season along a 1-km line spacing grid with tie-lines 8 km apart. Twenty-five flights were flown from the South African base SANAE, for a total of 100 survey hours. We present here the processedline aeromagnetic data acquired using scintrex cesium magnetometers mounted on the BAS aerogeophysically equipped Twin Otter.The aeromagnetic data were acquired at a constant barometric altitude of 2600 m.This provided a terrain clearance of 100 m over the highest peaks. The choice of a barometric survey mode was acompromise for the acquisition of reliable aerogravity data. Data are provided as XYZ ASCII line data. This high-resolution aerogeophysical survey was part of the "Magmatism as a Monitor of Gondwanabreak-up" project (MAMOG) of the British Antarctic Survey, which included new geochemical investigations, structural geology, geochronology, and AMS studies over western Dronning Maud Land.
description: MAMOG aeromagnetic data and details of survey design and data processing are presented in (Ferraccioli et al, 2005). The dataset available here includes all channels from raw through to levelled and microlevlled products. Channel naming follows SCAR/ADMAP2 data release protocols. Magnetic data channels and processing flow: MagR- Raw magnetic total field intensity data (nT). MagC- Compensated, or low pass filtered magnetic data (nT). Adjustments to compensate for aircraft roll, pitch and yaw were applied. RefField- Geomagnetic reference field value for which the magnetic data has been compensated. IGRF model 2000 as implemented in Geosoft (nT). MagRTC- Compensated magnetic value adjusted for Tip tanks (where used) and geomagnetic reference field values. MagRTC= MagR- RefField (nT). BCorr- Low pass filtered (30 minute) magnetic base station correction. MagBRTC- calculated as MagBRTC= MagRTC- Bcor (nT)r. ACorr- Additional correction applied to compensate for heading errors. Only applied to line and tie line segments with consistent headings. MagF- Final mag value before levelling (nT). MagL- Statistically levelled mag data (nT). MagML- Microlevelled magnetic data following technique of (Ferraccioli et al., 1998) (nT). Note tie lines are not included in the microlevelled data channel. Basic channel description: Line name Line Number Flight ID Sequential flight number x x projected meters* y y projected meters* Lon Longitude WGS 1984, Lat Latitude WGS 1984, Height_WGS1984 Aircraft altitude (meters) in WGS 1984, Date Date of flight in time format e.g. 2006/01/08 Time Time (UTC) of flight e.g. 23:52:42.0 *Projected coordinates (x and y) are in Lambert conic conformal with two standard parallels defined as follows: Latitude of natural origin: -71 Longitude of natural origin: 0 Scale factor at natural origin -75.33333333333 False easting 0 False northing 2082760.109
description: Tcorr and Scorr have no values.
DOI: 10.5258/soton/378172
title: 3 month old wheat plant cultivar Zebedee grown in clay loam soil at a bulk density of 1.1. g cm-3 [Pot 2]

description: 3 month old wheat plant cultivar Zebedee grown in clay loam soil at a bulk density of 1.1. g cm-3.This consists of 9 scans taken at different heights within the specimen. From 2017 this dataset can be requested via http://library.soton.ac.uk/datarequest
DOI: 10.5281/zenodo.3708994
title: Dataset related to article "Impact of hypofractionated schemes in radiotherapy for locally advanced head and neck cancer patients."

description: OBJECTIVE: To analyze two cohorts of locally advanced head and neck cancer (LAHNC) patients treated with two schedules of hypofractionated radiotherapy and 5 versus 3 mm clinical target volume-planning target volume (CTV-PTV) margins. METHODS: 145 patients were included. The patient cohort was divided into two groups. Group A included 97 patients treated with 69.96/54.45 grays (Gy) to the high-risk and low-risk volumes, respectively, in 33 fractions, with 5 mm margins. Group B included 48 patients treated with 66/54 Gy in 30 fractions using 3 mm margins. Toxicity was recorded according to the Common Toxicity Criteria version 3. Patient outcomes for locoregional control (LRC), disease-free survival (DFS), and overall survival (OS) were determined. RESULTS: Median follow-up was 26 months. In terms of toxicity, acute dysphagia worsened significantly (P = 0.003) in group B, whereas acute salivary toxicity tended to significance (P = 0.071). No significant late toxicity differences were recorded. Rates of LRC at 1 and 2 years were 90.1% ± 2.6% and 84.2% ± 3.4%, respectively, with superiority for group A (P = 0.045). The statistical significance remained for the low-dose level (P = 0.007) but not for high dose (P = 0.110). Rates of DFS at 1 and 2 years were 84.9% ± 3.1% and 76.5% ± 3.9%, respectively, whereas rates of OS were 95.9% ± 1.8% and 91.6% ± 2.7%, respectively. No differences were observed between the two groups in terms of DFS (P = 0.270) and OS (P = 0.152). CONCLUSION: The use of reduced CTV to PTV margins and dose reduction with hypofractionation schedule can improve the pattern of toxicity in LAHNC patients. This approach resulted in an increased rate of locoregional progression, particularly in low-risk regions. LEVEL OF EVIDENCE: 4 Laryngoscope, 2019.
DOI: 10.5281/zenodo.3708993
title: Dataset related to article "Impact of hypofractionated schemes in radiotherapy for locally advanced head and neck cancer patients."

description: OBJECTIVE: To analyze two cohorts of locally advanced head and neck cancer (LAHNC) patients treated with two schedules of hypofractionated radiotherapy and 5 versus 3 mm clinical target volume-planning target volume (CTV-PTV) margins. METHODS: 145 patients were included. The patient cohort was divided into two groups. Group A included 97 patients treated with 69.96/54.45 grays (Gy) to the high-risk and low-risk volumes, respectively, in 33 fractions, with 5 mm margins. Group B included 48 patients treated with 66/54 Gy in 30 fractions using 3 mm margins. Toxicity was recorded according to the Common Toxicity Criteria version 3. Patient outcomes for locoregional control (LRC), disease-free survival (DFS), and overall survival (OS) were determined. RESULTS: Median follow-up was 26 months. In terms of toxicity, acute dysphagia worsened significantly (P = 0.003) in group B, whereas acute salivary toxicity tended to significance (P = 0.071). No significant late toxicity differences were recorded. Rates of LRC at 1 and 2 years were 90.1% ± 2.6% and 84.2% ± 3.4%, respectively, with superiority for group A (P = 0.045). The statistical significance remained for the low-dose level (P = 0.007) but not for high dose (P = 0.110). Rates of DFS at 1 and 2 years were 84.9% ± 3.1% and 76.5% ± 3.9%, respectively, whereas rates of OS were 95.9% ± 1.8% and 91.6% ± 2.7%, respectively. No differences were observed between the two groups in terms of DFS (P = 0.270) and OS (P = 0.152). CONCLUSION: The use of reduced CTV to PTV margins and dose reduction with hypofractionation schedule can improve the pattern of toxicity in LAHNC patients. This approach resulted in an increased rate of locoregional progression, particularly in low-risk regions. LEVEL OF EVIDENCE: 4 Laryngoscope, 2019.
DOI: 10.21227/e7j7-ad59
title: Corona Virus (COVID-19) Tweets Dataset

description: Tweets Counter: 3.8 Million plusEach database (*.db) contain three columns.First column: date and time of the tweetSecond column: tweetThird column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live.To make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob [2] has been appended as the last column. New databases will be added to this dataset every week. Bookmark this page for further updates. [1] https://sentiment.live/ [2] https://textblob.readthedocs.io/en/dev/
DOI: 10.18716/nmrshiftdb2/76113
title: NMR data for 2-methyl-1H-indole-3-carbaldehyde
DOI: 10.18716/nmrshiftdb2/76111
title: NMR data for 1-methylindole-2-carbaldehyde
DOI: 10.5281/zenodo.3709025
title: Dataset related to article "The Number of Metastatic Lymph Nodes is a Useful Predictive Factor for Recurrence after Surgery for Nonmetastatic Nonfunctional Neuroendocrine Neoplasm of the Pancreas."

description: Nodal involvement (actually categorized as positive or negative) is an important prognostic factor after surgery for pancreatic neuroendocrine neoplasms (pNENs). We aim to evaluate the predictive role of the number of nodal metastases after pancreatic resection for pNENs. We analyzed from a prospectively maintained database all pancreatic resections for nonmetastatic nonfunctioning pNENs performed in our institution from 2011 to 2016. According to the number of nodal metastases, enhancing the actual categorization, we distinguished the following: N0, no nodal metastases; N1, 1-3 metastatic lymph nodes; and N2, metastases in 4 or more regional lymph nodes. Recurrence and disease-free survival (DFS) were evaluated. The predictive value in terms of recurrence for each clinicopathological data, including the number of metastatic lymph nodes, was calculated. Univariate and multivariate analyses were conducted. 77 patients underwent pancreatic surgery for pNENs. N0, N1, and N2 resections were found in 52 (67.5%), 16 (20.8%), and 9 (11.7%) cases, respectively. Mean follow-up of the entire cohort was 48 (±25) months. The recurrence rate was 11.8%, and the mean time of recurrence was 12 (±14) months. DFS was 83.7 months (76.0 - 91.5). At a univariate analysis, factors associated with recurrence were mitotic count (OR 1.19, <em>p</em> = 0.001), Ki67 value (OR 1.06, <em>p</em> = 0.001), the presence of nodal metastases (OR 11.54, <em>p</em> = 0.002), and metastases in 4 or more regional lymph nodes (N2) (OR 30.19, <em>p</em> = 0.002). At a multivariate analysis, only mitotic count (OR 1.51, <em>p</em> = 0.005) and N2 resection (OR 134.74, <em>p</em> = 0.002) were found to be predictive factors of recurrence. The number of metastatic lymph nodes and mitotic count is the most significant predictive factors of recurrence after pancreatic surgery for nonmetastatic nonfunctioning pNENs.
DOI: 10.5281/zenodo.3709024
title: Dataset related to article "The Number of Metastatic Lymph Nodes is a Useful Predictive Factor for Recurrence after Surgery for Nonmetastatic Nonfunctional Neuroendocrine Neoplasm of the Pancreas."

description: Nodal involvement (actually categorized as positive or negative) is an important prognostic factor after surgery for pancreatic neuroendocrine neoplasms (pNENs). We aim to evaluate the predictive role of the number of nodal metastases after pancreatic resection for pNENs. We analyzed from a prospectively maintained database all pancreatic resections for nonmetastatic nonfunctioning pNENs performed in our institution from 2011 to 2016. According to the number of nodal metastases, enhancing the actual categorization, we distinguished the following: N0, no nodal metastases; N1, 1-3 metastatic lymph nodes; and N2, metastases in 4 or more regional lymph nodes. Recurrence and disease-free survival (DFS) were evaluated. The predictive value in terms of recurrence for each clinicopathological data, including the number of metastatic lymph nodes, was calculated. Univariate and multivariate analyses were conducted. 77 patients underwent pancreatic surgery for pNENs. N0, N1, and N2 resections were found in 52 (67.5%), 16 (20.8%), and 9 (11.7%) cases, respectively. Mean follow-up of the entire cohort was 48 (±25) months. The recurrence rate was 11.8%, and the mean time of recurrence was 12 (±14) months. DFS was 83.7 months (76.0 - 91.5). At a univariate analysis, factors associated with recurrence were mitotic count (OR 1.19, <em>p</em> = 0.001), Ki67 value (OR 1.06, <em>p</em> = 0.001), the presence of nodal metastases (OR 11.54, <em>p</em> = 0.002), and metastases in 4 or more regional lymph nodes (N2) (OR 30.19, <em>p</em> = 0.002). At a multivariate analysis, only mitotic count (OR 1.51, <em>p</em> = 0.005) and N2 resection (OR 134.74, <em>p</em> = 0.002) were found to be predictive factors of recurrence. The number of metastatic lymph nodes and mitotic count is the most significant predictive factors of recurrence after pancreatic surgery for nonmetastatic nonfunctioning pNENs.
DOI: 10.5281/zenodo.3697930
title: PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain

description: <strong>PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain</strong> We present <strong>PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain</strong>. PÂTÉ is a dataset of natural-language commands containing temporal expressions for an AI voice assistant. The dataset is presented in: Zarcone, Alessandra and Alam, Touhidul and Kolagar, Zahra (2020). "PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain". <em>Proceedings of the 12th Conference on Language Resources and Evaluation (LREC)</em>. Marseille, France, May 11-16, 2020. The dataset is annotated according to the TimeML/TIMEX3 annotation guidelines (Saurı et al., 2006; TimeML Working Group, 2009). In our paper we also describe how we annotated cases which were not covered by the guidelines. We also provide an annotation of the Snips dataset (Coucke et al., 2018) following the same guidelines. Please refer to the README.md file inside PATE.zip for details about the files.
DOI: 10.5281/zenodo.3697929
title: PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain

description: <strong>PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain</strong> We present <strong>PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain</strong>. PÂTÉ is a dataset of natural-language commands containing temporal expressions for an AI voice assistant. The dataset is presented in: Zarcone, Alessandra and Alam, Touhidul and Kolagar, Zahra (2020). "PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain". <em>Proceedings of the 12th Conference on Language Resources and Evaluation (LREC)</em>. Marseille, France, May 11-16, 2020. The dataset is annotated according to the TimeML/TIMEX3 annotation guidelines (Saurı et al., 2006; TimeML Working Group, 2009). In our paper we also describe how we annotated cases which were not covered by the guidelines. We also provide an annotation of the Snips dataset (Coucke et al., 2018) following the same guidelines. Please refer to the README.md file inside PATE.zip for details about the files.
DOI: 10.18716/nmrshiftdb2/76112
title: NMR data for furan-2-carbohydrazide
DOI: 10.18716/nmrshiftdb2/76118
title: NMR data for 2-chloro-5-iodopyridine
DOI: 10.5285/2e0ebbc5-1539-4f3c-873d-c62ea354c35c
title: Processed line aeromagnetic data over Ellsworth Land (2001)

description: During the 2001-02 field season a regional survey was flown on a 10 km line spacing grid over the drainage basin of the Rutford Ice stream (West Antarctica), as part of the TORUS (Targeting ice stream onset regions and under-ice systems) project. We present here the processed line aeromagnetic data collected using scintrex cesium magnetometers mounted in the BAS aerogeophysically equipped Twin Otter aircraft. Data are provided as XYZ ASCII line data.
description: TORUS aeromagnetic dataset available here includes all channels from raw through to levelled, and draped products. Channel naming follows SCAR/ADMAP2 data release protocols. Also included in the available database are base level survey lines flown previously which complement the main TORUS grid. These lines have been processed in accordance with SCAR/ADMAP2 protocols but have not been levelled with TORUS data. Magnetic data channels and processing flow: Note that TORUS processing work flow is ordered differently to ADMAP2 protocols, but naming conventions, compensations and corrections are adhered to. MagR- Raw magnetic total field intensity data (nT). MagC- Compensated, or low pass filtered magnetic data. Adjustments to compensate for aircraft roll, pitch and yaw were applied. TCorr- Tiptank corrections (nT). These include DC shifts and gradients due to aircraft noice, etc. Dummy values if not applicable. MagTC- Compensated magnetic value adjusted for Tip tanks (where used). MagTC= MagC- TCorr (nT). BCorr- Low pass filtered (60 minute) magnetic base station correction. MagBTC- Compensated, tip tank and base station corrected mag. MagBTC= MagTC-BCorr (nT) RefField- Geomagnetic reference field value for which the magnetic data has been compensated. IGRF model 2010 as implemented in Geosoft (nT). MagBRTC- calculated as MagBRTC= MagBTC- RefField (nT). SCorr- Low pass filter (25 fiducials) applied to extra lines merged into the database with remnant noise. MagF- Final mag value before levelling (nT). MagL- Statistically levelled mag data (nT). MagML- Microlevelled magnetic data following technique of (Ferraccioli et al., 1998). Note tie lines are not included in the microlevelled data channel (nT). Basic channel description: Line name Line Number Flight ID Sequential flight number x x projected meters* y y projected meters* Lon Longitude WGS 1984, Lat Latitude WGS 1984, Height_WGS1984 Aircraft altitude (meters) in WGS 1984, Date Date of flight in time format e.g. 2006/01/08 Time Time (UTC) of flight e.g. 23:52:42.0 *Projected coordinates (x and y) are in Lambert conic conformal with two standard parallels defined as follows: Latitude of natural origin: -71 Longitude of natural origin: 0 Scale factor at natural origin 0.994 False easting 0 False northing 2082760.109
DOI: 10.7277/dyv5-wy28
title: Synthesis and Characterization of Semiconducting Sinnerite (Cu<sub>6</sub>As<sub>4</sub>S<sub>9</sub>) Thin Films

description: Sinnerite (Cu6As4S9) is a semiconductor computed to have attractive optoelectronic properties, but little attention has been paid to its experimental synthesis and characterization. Here, we report the first synthesis of polycrystalline sinnerite thin films. By heating Cu3AsS4 nanoparticles in sealed ampoules with As2S2 powder, a phase transformation to Cu6As4S9 is achieved along with the formation of micron-sized dense grains appropriate for device applications. The films display a band gap of ~1.2 eV, significant photocurrent generation under simulated AM1.5 illumination, and carrier lifetimes nearing 1 ns, demonstrating the promise of sinnerite for use in photovoltaic applications.