cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8340857
title: Temporal Validity Change Prediction - Dataset

description: This dataset contains data for <em>temporal validity change prediction</em>, an NLP task that will be defined in an upcoming publication. The dataset consists of five columns. target - A Tweet ID. This column must be manually rehydrated via the Twitter API to obtain the tweet text. follow_up - A synthetic follow-up tweet that semantically relates to the target tweet. context_only_tv - The expected temporal validity duration of the <strong>target </strong>tweet, when read in isolation. combined_tv - The expected temporal validity duration of the <strong>target </strong>tweet, when read <strong>together with the follow-up tweet</strong>. change - The TVCP task label, i.e., whether the temporal validity duration of the target tweet is <em>decreased</em>, unchanged (<em>neutral</em>), or <em>increased </em>by the information in the follow-up tweet. The duration labels (context_only_tv, combined_tv) are class indices of the following class distribution:<br> [no time-sensitive information, less than one minute, 1-5 minutes, 5-15 minutes, 15-45 minutes, 45 minutes - 2 hours, 2-6 hours, more than 6 hours, 1-3 days, 3-7 days, 1-4 weeks, more than one month] Different dataset splits are provided. "dataset.csv" contains the full dataset. "train.csv", "val.csv", "test.csv" contain an 80-10-10 train-val-test split. "train[0-4].csv" and "test[0-4].csv" respectively contain training and test data for one of 5 folds for 5-fold cross-validation. The train file contains 80% of the data, while the test file contains 20%. To replicate the original experiments, the train file should be sorted by the preprocessed target tweet text, then the first 12.5% of target tweets should be sampled to generate validation data, leading to a 70-10-20 train-val-test split.
DOI: 10.48758/ufz.12296
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201708

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, August 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201708_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12279
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201607

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, July 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201607_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.34740/kaggle/dsv/6464291
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/6464301
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.48758/ufz.12294
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201706

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, June 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

DOY 172-178 missing

file: DE-HoH_201706_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12293
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201705

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, May 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201705_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.6084/m9.figshare.23812776.v1
title: Supplementary Material for: Retrospective study of treatment patterns and natural history of patients with T1a/b N0 TNBCs—A single-institution experience.

description: Introduction: T1a/b, node-negative (node-), triple-negative breast cancers (TNBCs) are underrepresented in randomized drug-approving clinical trials. Given their low incidence, the clinicopathological features, natural history, and treatment patterns of these tumors remain insufficiently understood. Methods: We conducted a single-institution retrospective cohort study of patients with T1a/b, N0, M0 TNBCs. Deidentified patient- and tumor-related data were collected and summarized. Kruskal-Wallis, chi-square, or Fisher exact tests were used to evaluate associations of interest. Kaplan-Meier methods, log-rank tests, and Cox's proportional hazards models were applied for survival analyses. Results: Of 108 cases of node- TNBCs measuring ≤2 cm, 34 node- T1a/b tumors were included in our analysis. All cases had an intermediate to high histological grade, and most had a Ki-67 score of ≥20%. All patients received adjuvant chemotherapy, and many underwent mastectomy (47%). Docetaxel combined with cyclophosphamide was the most common adjuvant chemotherapy regimen (75%). We did not observe significant associations between improved outcomes and treatment with anthracycline-containing regimens. Among patients with node- pT1a/b tumors, the estimated 3-year recurrence-free survival and distant recurrence-free survival rates were both 96.3% (95% CI, 76.5-99.5), and the overall survival rate was estimated to be 100% (95% CI, 100-100). There were no cases of local recurrences observed. Discussion/Conclusions: In our cohort, all patients with T1a/b node- TNBCs were treated with adjuvant chemotherapy and had favorable outcomes even when treated with anthracycline-sparing regimens.
DOI: 10.48758/ufz.12292
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201704

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, April 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201704_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.5281/zenodo.8340555
title: Self Lensing simulations of WD-WD pairs

description: These are netCDF files, created using python/xarray. They contain the simulation results gotten from running the self_lens package (https://github.com/guynir42/self_lens) with a few surveys (ZTF, TESS, LSST, DECAM, CURIOS, CURIOS_ARRAY, LAST) over simulated binaries containing two white dwarfs (WDs). Each file contains the results for the number of detections and effective volume for one survey, over a large parameter space of WD-WD binaires. For each binary we simulate the self-lensing flare and estimate the ability of a survey to observe that flare, at different distances of the system from Earth. These datasets are needed to make the plots for an upcoming paper (Nir & Bloom, in prep). In the self_lens package, run the test_produce_plots.py to pull down these files to a local folder and use them to make plots. An accompanying dataset includes the same files for WDs in binaries with neutron stars and black holes (BHs).
DOI: 10.5281/zenodo.8340554
title: Self Lensing simulations of WD-WD pairs

description: These are netCDF files, created using python/xarray. They contain the simulation results gotten from running the self_lens package (https://github.com/guynir42/self_lens) with a few surveys (ZTF, TESS, LSST, DECAM, CURIOS, CURIOS_ARRAY, LAST) over simulated binaries containing two white dwarfs (WDs). Each file contains the results for the number of detections and effective volume for one survey, over a large parameter space of WD-WD binaires. For each binary we simulate the self-lensing flare and estimate the ability of a survey to observe that flare, at different distances of the system from Earth. These datasets are needed to make the plots for an upcoming paper (Nir & Bloom, in prep). In the self_lens package, run the test_produce_plots.py to pull down these files to a local folder and use them to make plots. An accompanying dataset includes the same files for WDs in binaries with neutron stars and black holes (BHs).
DOI: 10.5519/qd.3a67k62y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18321 records)
DOI: 10.48758/ufz.12291
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201703

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, March 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201703_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.5281/zenodo.8340914
title: necturus_beyeri_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8340913
title: necturus_beyeri_spades_01.fasta.gz

description: .
DOI: 10.48758/ufz.12290
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201702

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, Febuary 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201702_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12287
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201701

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, January 2017. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201701_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12284
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201612

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, December 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201612_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12283
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201611

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, November 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201611_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12282
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201610

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, October 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201610_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12281
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201609

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, September 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201609_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.5281/zenodo.8340307
title: Field and Thermal Emission Limited Charge Injection in Au–C60–Graphene van der Waals Vertical Heterostructures for Organic Electronics (Dataset)

description: Dataset of the vertical Au-C60-Gr stacks measurements related to the publication: "Field and Thermal Emission Limited Charge Injection in Au–C60–Graphene van der Waals Vertical Heterostructures for Organic Electronics", ACS, Appl. Nano Mater., 2023. The dataset includes: AFM raw data Raman spectroscopy raw data Room temperature measurements Impedance analysis measurements Temperature dependent measurements
DOI: 10.5281/zenodo.8340314
title: Measurement Report: The observation of atmospheric HONO by wet-rotating-denuder ion chromatograph in a coastal city: Influencing factors and corrective function

description: The details are also available upon request from the corresponding author (jschen@iue.ac.cn)
DOI: 10.5281/zenodo.8340306
title: Field and Thermal Emission Limited Charge Injection in Au–C60–Graphene van der Waals Vertical Heterostructures for Organic Electronics (Dataset)

description: Dataset of the vertical Au-C60-Gr stacks measurements related to the publication: "Field and Thermal Emission Limited Charge Injection in Au–C60–Graphene van der Waals Vertical Heterostructures for Organic Electronics", ACS, Appl. Nano Mater., 2023. The dataset includes: AFM raw data Raman spectroscopy raw data Room temperature measurements Impedance analysis measurements Temperature dependent measurements
DOI: 10.5281/zenodo.8340313
title: Measurement Report: The observation of atmospheric HONO by wet-rotating-denuder ion chromatograph in a coastal city: Influencing factors and corrective function

description: The details are also available upon request from the corresponding author (jschen@iue.ac.cn)
DOI: 10.48758/ufz.12280
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201608_eddy-raw_csv

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, August 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201608_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.6084/m9.figshare.24083241.v1
title: Supplementary Material for: Lung adenocarcinoma size decrease after SARS-CoV-2 vaccination during long-term pembrolizumab treatment: A case report

description: A man in his late 40s was diagnosed with clinical stage IVB lung adenocarcinoma with a PD-L1 tumor proportion score of 100% and high tumor mutational burden. A partial response was achieved after administration of pembrolizumab. The patient received two doses of a SARS-CoV-2 vaccine (BNT162b2) after 59 courses, and a chest CT revealed consolidation in the peri-tumoral area, which subsequently disappeared, and the tumor continued to shrink in the next four months. This case provides indirect evidence for the persistence of cancer immunity during long-term treatment with immune checkpoint inhibitors and the potential for further activation.
DOI: 10.48758/ufz.12278
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201606

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, June 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201606_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12277
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201605

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, May 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201605_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.6084/m9.figshare.24083571.v1
title: Supplementary Material for: Systemic AA amyloidosis secondary to metastatic renal cell carcinoma in a hemodialysis patient with intractable diarrhea

description: We describe an autopsied case of systemic AA amyloidosis secondary to metastatic renal cell carcinoma presenting intractable diarrhea. Severe diarrhea was the major symptom for the diagnosis of AA amyloidosis. No renal symptoms which are common in AA amyloidosis secondary to renal cell carcinoma were shown because hemodialysis following bilateral nephrectomy had already been started nine years before. Treatment against metastatic tumors as a solution of AA amyloidosis could not be performed because of bad performance status and the patient died five months after the diagnosis. Autopsy findings revealed that AA amyloid deposition was seen in multi organs including the intestine. The metastatic tumors were histologically compatible as metastasis of renal cell carcinoma. There was no other cause of chronic inflammation such as inflammatory arthritis. We concluded that chronic inflammation provoked by the metastatic tumors of renal cell carcinoma was a major cause of systemic AA amyloidosis. Intestinal AA amyloidosis with malabsorption was the cause of death. Clinicians should keep it in mind that solid organ malignancy can be a cause of AA amyloidosis and renal cell carcinoma is the most common carcinomatous cause. This case is particularly instructive in that progression of amyloidosis may be missed in hemodialysis patients with anuria and that gastrointestinal symptoms can be the primary indicators of systemic amyloidosis. Endoscopic examination including biopsy is important for the diagnosis and early treatment of amyloidosis.
DOI: 10.7488/ds/7504
title: Epidemiology of SARS-CoV-2 infections in people aged &lt;19 years

description: The files presented are the standardised data extraction sheets that were used to extract data from the primary included in the systematic review on the epidemiology of SARS-CoV-2 infections in children and adolescents (people aged &lt;19 years). These data are related to the upcoming publication: Kulkarni, D., Ismail, N.F., Zhu, F., Wang, X., del Carmen Morales, G., Allen, K.E., Spinardi, J., Rahman, A.E., Kyaw, M.H. and Nair, H. (in submission). Epidemiology and Clinical Features of SARS- CoV-2 Infections in Children and Adolescents in the Pre-Omicron Era: A Global Systematic Review and Meta-Analysis.
DOI: 10.48758/ufz.12276
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201604

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, April 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201604_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.48758/ufz.12275
title: Eddy covariance rawdata for Hohes Holz (DE-HoH) in Central Germany, 49m for 201603

description: Eddy-covariance Rawdata (20Hz) from CSAT and LI7500 Hohes Holz 49m, March 2016. Converted from slt- and dia-files to ascii-format (u, v, w, T_Sonic, CO2, H2O, p_75, SA_DIAG, GA75_DIAG), no time column, individual file names are indicating the starting time of the data acquisition period (according to RFlux-requirements)

file: DE-HoH_201603_eddy-raw_csv.zip

more files available in the same repository
DOI: 10.17028/rd.lboro.24106797
title: Supplementary information files for differentiation of body fluid stains using a portable, low-cost Ion Mobility Spectrometry device – A pilot study

description: Supplementary files for article Differentiation of body fluid stains using a portable, low-cost ion mobility spectrometry device—a pilot studyThe identification and recovery of suspected human biofluid evidence can present a bottleneck in the crime scene investigation workflow. Crime Scene Investigators typically deploy one of a number of presumptive enhancement reagents, depending on what they perceive an analyte to be; the selection of this reagent is largely based on the context of suspected evidence and their professional experience. Positively identified samples are then recovered to a forensic laboratory where confirmatory testing is carried out by large lab-based instruments, such as through mass-spectrometry-based techniques. This work proposes a proof-of-concept study into the use of a small, robust and portable ion mobility spectrometry device that can analyse samples in situ, detecting, identifying and discriminating commonly encountered body fluids from interferences. This analysis exploits the detection and identification of characteristic volatile organic compounds generated by gentle heating, at ambient temperature and pressure, and categorises samples using machine learning, providing investigators with instant identification. The device is shown to be capable of producing characteristic mobility spectra using a dual micro disc pump configuration which separates blood and urine from three visually similar interferences using an unsupervised PCA model with no misclassified samples. The device has the potential to reduce the need for potentially contaminating and destructive presumptive tests, and address the bottleneck created by the time-consuming and laborious detection, recovery and analysis workflow currently employed.This dataset describes the analysis of dried biofluid spots using a portable ion mobility mass spectrometer fitted with a thermal desorption probe. It includes blood, urine and visually similar contaminants.<br>