cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4bjhfpvrw4.3
title: Supplementary material: Doppler ultrasound, blood flow, portal vein, milk vein, body condition, dairy cows

description: This dataset contains supplemental material to the research article: "Colour Doppler study of blood flow in the portal vein in relation to blood flow in the milk vein, milk yield and body condition of dairy cows during dry period and lactation".

Dataset contents explained:

1. Portal Vein Blood FLow (.avi) - video of color Doppler examination of blood flow in the portal vein of dairy cows

2. Table 3 (.pdf) - Descriptive statistics of milk vein blood flow volume (MV_BFVol), body condition score (BCS), backfat thickness (BFT) and heart girth (HG) circumference of the dairy cows included in the study, stratified by production stage (late lactation, dry period, early lactation).

3. Tables 4, 5, 6 (.pdf): Ingredients, chemical composition and nutritive value of the total mixed rations provided for the: High Lactation, Low Lactation, and Close-Up (dry period) groups.

4. Fig. 6 (.tiff) - Cross Sectional Area (CSA) of the portal vein: Changes throughout the study period: starting from 7 days before the dry period (“DP”), throughout the DP, 7 and 3 days prior to calving, at calving (“C”) and from the 3rd to the 90th day in the new lactation (“DIM”: days in milk). 

5. Fig. 7 (.tiff) - Diameter of the Portal Vein: Changes throughout the study period: starting from 7 days before the dry period (“DP”), throughout the DP, 7 and 3 days prior to calving, at calving (“C”) and from the 3rd to the 90th day in the new lactation (“DIM”: days in milk). 

6. Fig. 8 (.tiff) - Distance of the Portal Vein from skin surface: Changes throughout the study period: starting from 7 days before the dry period (“DP”), throughout the DP, 7 and 3 days prior to calving, at calving (“C”) and from the 3rd to the 90th day in the new lactation (“DIM”: days in milk). 

7. BFT example (.bmp) - B-mode ultrasound measurement of backfat thickness of a dairy cow (according to Schroeder and Staufenbiel, 2006)

8. Power Analyses (a-priori and post-hoc) (.pdf)
DOI: 10.17632/9knwyjtrkx.1
title: Validation of high throughput deep amplicon sequencing to determine the species composition of Dicrocoelium in small ruminants

description: Validation of high throughput deep amplicon sequencing to determine the species composition of Dicrocoelium in small ruminants
DOI: 10.17632/9knwyjtrkx.2
title: Validation of high throughput deep amplicon sequencing to determine the species composition of Dicrocoelium in small ruminants

description: Validation of high throughput deep amplicon sequencing to determine the species composition of Dicrocoelium in small ruminants
DOI: 10.17632/8rh2jn67dk.1
title: JAAD

description: supplementary files for study entitled "Short-Term Effects of Air Pollutants on Psoriasis Occurrence: A Case-Crossover Study"
DOI: 10.17632/wp79d99nwh.1
title: Leg cramp study

description: leg cramps study
DOI: 10.17632/g2zms442tj.1
title: Data of FPTs of four DFNs

description: There are four FPT data (formatted in .mat files), produced by the particle tracking simulations (advection-dominated) in four DFNs.
The number of fractures (NF) progressively increases in the four DFNs.
Each simulation has around 500 000 to 600 000 random walkers.
DOI: 10.17632/v6ydbwzwgz.1
title: Original data of "DNA methylation of promoter region inhibits Galectin-1 expression in BMSCs of aged mice"

description: Original data of "DNA methylation of promoter region inhibits Galectin-1 expression in BMSCs of aged mice"
DOI: 10.17632/tn5pkyggcx.1
title: Assessment of carbon footprint of milk production and identification of its major determinants in smallholder dairy farms in Karnataka, India

description: Supplementary  file contains questionnaire (Table S1), and additional tables ( Table S2-S6) and figures  ( Figure S1-S2).
DOI: 10.17632/x7dvhf4226.1
title: Data for tekito

description: tekito
DOI: 10.17632/scvpp75wpk.1
title: Analgesics consumption in a large sample of patients in musculoskeletal rehabilitation

description: The aim of the current study was to evaluate analgesic consumption and its association with different variables (demographic variables, pain, anxiety/depression, catastrophism, kinesiophobia), in the field of musculoskeletal rehabilitation.
The following analgesic medications were compiled by using the Anatomical Therapeutic Chemical (ATC) classification: paracetamol, metamizole, NSAIDs, opioids (mainly tramadol, codeine, and oxycodone), antiepileptics (gabapentin, pregabalin) and some antidepressants (duloxetine, amitriptyline, venlafaxine, clomipramine).
Patients were classified according to the highest level of medication received, in 3 categories: no analgesics (NA), non-opioid analgesics (NOA), and opioid analgesics (OPA).
DOI: 10.5281/zenodo.8122103
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Pedro Montserrat Recoder, http://www.wikidata.org/entity/Q11034854. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11034854
DOI: 10.5281/zenodo.8122102
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Pedro Montserrat Recoder, http://www.wikidata.org/entity/Q11034854. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q11034854
DOI: 10.5281/zenodo.8122105
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Willy Adolf Theodor Ramme, http://www.wikidata.org/entity/Q8022523. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q8022523
DOI: 10.5281/zenodo.8122104
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Willy Adolf Theodor Ramme, http://www.wikidata.org/entity/Q8022523. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q8022523
DOI: 10.5281/zenodo.7920691
title: Replication package for: Market Power in Coal Shipping and Implications for U.S. Climate Policy

description: This package contains all code necessary to reproduce the figures and tables in: Preonas, Louis (forthcoming). "Market Power in Coal Shipping and Implications for U.S. Climate Policy." Review of Economic Studies. The README document contains detailed instructions for conducting a full replication (from raw data), or for only replicating the analysis presented in the paper's figures and tables.
DOI: 10.21227/91ka-4s51
title: HQA1K Hologram Perceptual Quality Assessment Dataset

description: The HQA1K dataset was developed for assessing the quality of Computer Generated Holography (CGH) image renderings based on direct human input.HQA1K is comprised of 1,000 pairs of natural images matched to simulated CGH renderings of various quality levels. The result is a diverse set of data for evaluating image quality algorithms and models. 1000 reference images were sourced from KonIQ-10k [1]. Every image pair in the dataset has been assessed by 13 individual human observers. Observers were asked to rate the quality as 1,2,3,4,or 5. Observers were told that a rating of ‘5’ corresponds to a perfect match, and a ‘1’ to a poor match. All observers provided ratings for all image pairs in the dataset in a randomized order.    Evaluations from the 13 observers have been averaged to derive a Mean Opinion Score (MOS) and provide a human-rated standard of comparison for each image pair.  These MOS scores serve as a benchmark for the development and evaluation of IQA algorithms. HQA1K is freely available to the research community just like it’s parent dataset KonIQ-10k. We encourage users to cite the associated publication [2]. The HQA1K dataset is stored in the HDF5 format, and includes three distinct datasets: "CGH", "Tar", and "MOS"."CGH" contains the CGH simulated renderings."Tar" includes the original natural images."MOS" contains the Mean Opinion Scores corresponding to each image pair. To access the HQA1K dataset, users can employ the following Python code after you unzip the downloaded file:import numpy as npimport h5py as h5file_path = 'HQA1K.h5'with h5.File(file_path, 'r') as f:    targets = f['Tar'][:]    renderings = f['CGH'][:]    mos = f['MOS'][:] M.Hossein Eybposh, Changjia Cai, Aram Moossavi, Jose Rodriguez-Romaguera, and Nicolas C. Pégard, 2023, The University of North Carolina at Chapel Hill.  [1] V. Hosu, H. Lin, T. Sziranyi and D. Saupe, "KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment," in IEEE Transactions on Image Processing, vol. 29, pp. 4041-4056, 2020, doi: 10.1109/TIP.2020.2967829. [2] M.Hossein Eybposh, Changjia Cai, Aram Moossavi, Jose Rodriguez-Romaguera, and Nicolas C. Pégard, “ConIQA and HQA1k: Method and Dataset for Perceptual Image Quality Assessment With Consistency Training”, manuscript in preparation.
DOI: 10.5281/zenodo.8122138
title: Data for A multi-phase biogeochemical model for mitigating earthquake-induced liquefaction via microbially induced desaturation and calcium carbonate precipitation

description: This data accompanies the paper published in Biogeosciences, which can be found at https://doi.org/10.5194/egusphere-2022-1419.
DOI: 10.5281/zenodo.8122137
title: Data for A multi-phase biogeochemical model for mitigating earthquake-induced liquefaction via microbially induced desaturation and calcium carbonate precipitation

description: This data accompanies the paper published in Biogeosciences, which can be found at https://doi.org/10.5194/egusphere-2022-1419.
DOI: 10.25345/c5fn11307
title: MassIVE MSV000092360 - Top-down Proteomics of 10,000 Single Brain Cells
title: We introduce single-cell Proteoform imaging Mass Spectrometry (scPiMS), which realizes the benefit of direct extraction of intact proteins to process 10,836 single cells from the rat hippocampus. This new platform addresses the throughput bottleneck for single cell proteomics using mass spectrometry, boosting cell processing rates by &gt;20-fold in the field. We identified 169 proteoforms &lt;70 kDa from single brain cells and classified 2755 of them as neurons, astrocytes or microglia cell types.
DOI: 10.5281/zenodo.8122125
title: A sea state dependent gas transfer velocity for CO$_2$ unifying theory, model and field data

description: Dataset for "A sea state dependent gas transfer velocity for CO2 unifying theory, model and field data" WaveWatch III simulated significant wave height (Hs, unit:m), volume of entrained air ('wva', unit m/s), 10-meter wind vector ( 'uwnd','vwnd', unit, m/s) for 9 datasets from 11 cruises. The information of dataset is shown in name of each file.
DOI: 10.5281/zenodo.8122181
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Martin Martens, http://www.wikidata.org/entity/Q2292953. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2292953
DOI: 10.5281/zenodo.8122180
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Martin Martens, http://www.wikidata.org/entity/Q2292953. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2292953
DOI: 10.5281/zenodo.8122185
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joaquim de Mariz, http://www.wikidata.org/entity/Q5931630. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5931630
DOI: 10.5281/zenodo.8122184
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joaquim de Mariz, http://www.wikidata.org/entity/Q5931630. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q5931630
DOI: 10.5281/zenodo.8122191
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ernst Gustav Gotthelf Marcus, http://www.wikidata.org/entity/Q15300532. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q15300532
DOI: 10.5281/zenodo.8122193
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Emilio Marcucci, http://www.wikidata.org/entity/Q21519953. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21519953
DOI: 10.5281/zenodo.8122192
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Emilio Marcucci, http://www.wikidata.org/entity/Q21519953. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21519953
DOI: 10.6084/m9.figshare.23638914
title: Training Dataset

description: This is the data used for training the urban volumetric growth models
DOI: 10.6084/m9.figshare.23638914.v1
title: Training Dataset

description: This is the data used for training the urban volumetric growth models
DOI: 10.5281/zenodo.8122195
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas R. Manley, http://www.wikidata.org/entity/Q55830254. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q55830254
DOI: 10.5281/zenodo.8122194
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas R. Manley, http://www.wikidata.org/entity/Q55830254. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q55830254
DOI: 10.5281/zenodo.8122197
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Herbert Knowles Charles Mair, http://www.wikidata.org/entity/Q118189575. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q118189575
DOI: 10.5281/zenodo.8122196
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Herbert Knowles Charles Mair, http://www.wikidata.org/entity/Q118189575. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q118189575
DOI: 10.5281/zenodo.8122205
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ralph W. Macy, http://www.wikidata.org/entity/Q21388831. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388831
DOI: 10.5281/zenodo.8122204
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ralph W. Macy, http://www.wikidata.org/entity/Q21388831. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21388831
DOI: 10.5281/zenodo.8122216
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by James Francis Macbride, http://www.wikidata.org/entity/Q3046674. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3046674
DOI: 10.5281/zenodo.8122215
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by James Francis Macbride, http://www.wikidata.org/entity/Q3046674. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3046674
DOI: 10.5517/ccdc.csd.cc2d46kb
title: CCDC 2208581: Experimental Crystal Structure Determination

description: Related Article: Radhakrishnan Kartikeyan, Dhanashree Murugan, Tamilarasan Ajaykamal, Manikandan Varadhan, Loganathan Rangasamy, Marappan Velusamy, Mallayan Palaniandavar, Venugopal Rajendiran|2023|Dalton Trans.|52|9148|doi:10.1039/D3DT00213F
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: 10.5517/ccdc.csd.cc2fm5cm
title: CCDC 2252750: Experimental Crystal Structure Determination

description: Related Article: Jiayuan Li|2023|CSD Communication|||
description: Related Article: Jia-yuan Li, Shi-fei Wu, Ya-ling An, Chang-liang Yao, Shuai Yao, Yong Huang, Wen-long Wei, Jian-qing Zhang, Qi-rui Bi, Hua Qu, De-an Guo|2023|Phytochemistry|213|113768|doi:10.1016/j.phytochem.2023.113768
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: 10.5517/ccdc.csd.cc2fm5gq
title: CCDC 2252753: Experimental Crystal Structure Determination

description: Related Article: Jiayuan Li|2023|CSD Communication|||
description: Related Article: Jia-yuan Li, Shi-fei Wu, Ya-ling An, Chang-liang Yao, Shuai Yao, Yong Huang, Wen-long Wei, Jian-qing Zhang, Qi-rui Bi, Hua Qu, De-an Guo|2023|Phytochemistry|213|113768|doi:10.1016/j.phytochem.2023.113768
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: 10.5517/ccdc.csd.cc29xwvz
title: CCDC 2142932: Experimental Crystal Structure Determination

description: Related Article: A. Staropoli, L. Di Costanzo, F. Vinale|2023|CSD Communication|||
description: Related Article: Alessia Staropoli, Giuseppina Iacomino, Paola De Cicco, Sheridan L. Woo, Luigi Di Costanzo, Francesco Vinale |2023|Chem. Biol. Technol. Agric.|10|28|doi:10.1186/s40538-023-00383-x
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: 10.5517/ccdc.csd.cc2d25m9
title: CCDC 2206630: Experimental Crystal Structure Determination

description: Related Article: K. Roszak, A. Katrusiak|2023|IUCrJ|10|341|doi:10.1107/S2052252523002452
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: 10.5517/ccdc.csd.cc2d25pc
title: CCDC 2206632: Experimental Crystal Structure Determination

description: Related Article: K. Roszak, A. Katrusiak|2023|IUCrJ|10|341|doi:10.1107/S2052252523002452
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: 10.5517/ccdc.csd.cc2d25qd
title: CCDC 2206633: Experimental Crystal Structure Determination

description: Related Article: K. Roszak, A. Katrusiak|2023|IUCrJ|10|341|doi:10.1107/S2052252523002452
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: 10.5517/ccdc.csd.cc2d25rf
title: CCDC 2206634: Experimental Crystal Structure Determination

description: Related Article: K. Roszak, A. Katrusiak|2023|IUCrJ|10|341|doi:10.1107/S2052252523002452
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: 10.5517/ccdc.csd.cc2d25sg
title: CCDC 2206635: Experimental Crystal Structure Determination

description: Related Article: K. Roszak, A. Katrusiak|2023|IUCrJ|10|341|doi:10.1107/S2052252523002452
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.