cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57967/hf/0731
title: medium_cleaned
DOI: 10.6084/m9.figshare.22299019
title: Martínez_pacheco, et al., Original Data

description: This study aimed to evaluate the effect of two inhibitors of class I histone deacetylases (HDACs), 4-phenylbutyrate (PB) and IN14, on memory performance in mice exposed to a single forced swimming stress session. The database shows the results of the manuscript: "CLASS I HISTONE DEACETYLASES INHIBITION REVERSES MEMORY IMPAIRMENT INDUCED BY ACUTE STRESS IN MICE". <br> 1. Corticosterone levels of each experimental group: VEH (vehicle), PB, and IN14 (stress and not stress). 2. Motor activity: results are shown as the number of counts in 5 min of total, ambulatory, and vertical activity. 3. Novel Object Recognition Test (NORT): results are shown as the discrimination index (1h and 24 h) of each experimental group (VEH, PB, IN14 (stress and not stress). 4. Elevated T maze (ETM): results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, and AL4) which is considered the learning criterion. LR indicates the retention latency (the time to leave the enclosed arm "seconds"), and EL indicates the escape latency (time to enter with all four paws to the enclosed arm "seconds"). 5. Buried food location test (BFLT). results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, AL4, AL5, and AL6) that is the time finding the pellet, LR indicates the retention latency, "T/O" is the time in the target quadrant and opposite respectively (seconds). 6. HDAC2: expression of HDAC2 in the mouse hippocampus (OD/ml).
DOI: 10.6084/m9.figshare.22299019.v5
title: Martínez_pacheco, et al., Original Data

description: This study aimed to evaluate the effect of two inhibitors of class I histone deacetylases (HDACs), 4-phenylbutyrate (PB) and IN14, on memory performance in mice exposed to a single forced swimming stress session. The database shows the results of the manuscript: "CLASS I HISTONE DEACETYLASES INHIBITION REVERSES MEMORY IMPAIRMENT INDUCED BY ACUTE STRESS IN MICE". <br> 1. Corticosterone levels of each experimental group: VEH (vehicle), PB, and IN14 (stress and not stress). 2. Motor activity: results are shown as the number of counts in 5 min of total, ambulatory, and vertical activity. 3. Novel Object Recognition Test (NORT): results are shown as the discrimination index (1h and 24 h) of each experimental group (VEH, PB, IN14 (stress and not stress). 4. Elevated T maze (ETM): results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, and AL4) which is considered the learning criterion. LR indicates the retention latency (the time to leave the enclosed arm "seconds"), and EL indicates the escape latency (time to enter with all four paws to the enclosed arm "seconds"). 5. Buried food location test (BFLT). results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, AL4, AL5, and AL6) that is the time finding the pellet, LR indicates the retention latency, "T/O" is the time in the target quadrant and opposite respectively (seconds). 6. HDAC2: expression of HDAC2 in the mouse hippocampus (OD/ml).
DOI: 10.6084/m9.figshare.22299019.v4
title: Martinez_pacheco, et al., Original Data

description: This study aimed to evaluate the effect of two inhibitors of class I histone deacetylases (HDACs), 4-phenylbutyrate (PB) and IN14, on memory performance in mice exposed to a single forced swimming stress session. The database shows the results of the manuscript: "CLASS I HISTONE DEACETYLASES INHIBITION REVERSES MEMORY IMPAIRMENT INDUCED BY ACUTE STRESS IN MICE". <br> 1. Corticosterone levels of each experimental group: VEH (vehicle), PB, and IN14 (stress and not stress). 2. Motor activity: results are shown as the number of counts in 5 min of total, ambulatory, and vertical activity. 3. Novel Object Recognition Test (NORT): results are shown as the discrimination index (1h and 24 h) of each experimental group (VEH, PB, IN14 (stress and not stress). 4. Elevated T maze (ETM): results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, and AL4) which is considered the learning criterion. LR indicates the retention latency (the time to leave the enclosed arm "seconds"), and EL indicates the escape latency (time to enter with all four paws to the enclosed arm "seconds"). 5. Buried food location test (BFLT). results are shown as the acquisition latency, "AL" ( AL1, AL2, AL3, AL4, AL5, and AL6) that is the time finding the pellet, LR indicates the retention latency, "T/O" is the time in the target quadrant and opposite respectively (seconds). 6. HDAC2: expression of HDAC2 in the mouse hippocampus (OD/ml).
DOI: 10.5281/zenodo.7489346
title: Data from Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen Porphyromonas gingivalis"

description: Data files associated with Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen <em>Porphyromonas gingivalis</em>". <strong>Please see the table in 00.README.xlsx for key information regarding nomenclature</strong>. We caution that the same locus tag identifiers refer to different genes in the Zenodo files than in NCBI. This difference resulted from use of the same Locus Tag Prefixes for in house gene calls using Bakta for the manuscript analyses as for the PGAP analyses ultimately performed upon submission of the assemblies to GenBank. Unlike the Supplementary Data Files submitted with the manuscript, see below, it was not possible to readily update all the Zenodo-deposited files to their updated final GCA and distinct locus tag identifiers because of the complexity of some of the included filetypes, therefore all files in the Zenodo set were left unchanged from the nomenclature used in the original in house analyses based on Bakta. Directory Contents <strong>00.README</strong> Important information regarding nomenclature differences across data types. <strong>01.bax.bakta</strong> Results of Bakta annotation of 88 <em>Pg</em> genomes. <strong>02.bax.ppanggolin</strong> Results of PPanGGOLiN pangenome analysis of 88 <em>Pg</em> genomes. <strong>03.bax.combo</strong> Results of multiple analyses used to inform identification and curation of prophages in <em>Pg</em> genomes, provided as bacterial genome fastas and gff files that can be uploaded together to genome viewer tools (e.g. Geneious) and visualized as tracks. Note, these do not include final prophage calls. <strong>04.phage.genomes</strong> <em>Pg</em> phage genomes in fasta format. <strong>05.phage.prots</strong> <em>Pg</em> phage proteins in fasta format, clipped proteins at the beginnings and ends of genomes are excluded. <strong>06.phage.gbs</strong> <em>Pg</em> phage information in GenBank format, clipped proteins at the beginnings and ends of genomes are excluded. <strong>07.phage.families.virclust</strong> Results of VirClust analysis used to inform resolution family-level units. <strong>08.phage.families.victor</strong> Results of VICTOR analysis used to inform resolution of family-level units.
DOI: 10.5281/zenodo.7489347
title: Data from Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen Porphyromonas gingivalis"

description: Data files associated with Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen <em>Porphyromonas gingivalis</em>". Note: Placeholder GCA identifiers are used for analyses of 5 newly sequenced<em> Pg</em> genomes in the initial version of the associated biorxiv manuscript and supplementary files, as well as those deposited here to zenodo as v2022.364. Placeholder identifiers will be updated to official NCBI accession GCA identifiers once these are received. Directory Contents <strong>01.bax.bakta</strong> Results of Bakta annotation of 88 <em>Pg</em> genomes. <strong>02.bax.ppanggolin</strong> Results of PPanGGOLiN pangenome analysis of 88 <em>Pg</em> genomes. <strong>03.bax.combo</strong> Results of multiple analyses used to inform identification and curation of prophages in <em>Pg</em> genomes, provided as bacterial genome fastas and gff files that can be uploaded together to genome viewer tools (e.g. Geneious) and visualized as tracks. Note, these do not include final prophage calls. <strong>04.phage.genomes</strong> <em>Pg</em> phage genomes in fasta format. <strong>05.phage.prots</strong> <em>Pg</em> phage proteins in fasta format, clipped proteins at the beginnings and ends of genomes are excluded. <strong>06.phage.gbs</strong> <em>Pg</em> phage information in GenBank format, clipped proteins at the beginnings and ends of genomes are excluded.
DOI: 10.5281/zenodo.8006701
title: Data from Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen Porphyromonas gingivalis"

description: Data files associated with Matrishin et al. "Phages are important unrecognized players in the ecology of the oral pathogen <em>Porphyromonas gingivalis</em>". <strong>Please see the table in 00.README.xlsx for key information regarding nomenclature</strong>. We caution that the same locus tag identifiers refer to different genes in the Zenodo files than in NCBI. This difference resulted from use of the same Locus Tag Prefixes for in house gene calls using Bakta for the manuscript analyses as for the PGAP analyses ultimately performed upon submission of the assemblies to GenBank. Unlike the Supplementary Data Files submitted with the manuscript, see below, it was not possible to readily update all the Zenodo-deposited files to their updated final GCA and distinct locus tag identifiers because of the complexity of some of the included filetypes, therefore all files in the Zenodo set were left unchanged from the nomenclature used in the original in house analyses based on Bakta. Directory Contents <strong>00.README</strong> Important information regarding nomenclature differences across data types. <strong>01.bax.bakta</strong> Results of Bakta annotation of 88 <em>Pg</em> genomes. <strong>02.bax.ppanggolin</strong> Results of PPanGGOLiN pangenome analysis of 88 <em>Pg</em> genomes. <strong>03.bax.combo</strong> Results of multiple analyses used to inform identification and curation of prophages in <em>Pg</em> genomes, provided as bacterial genome fastas and gff files that can be uploaded together to genome viewer tools (e.g. Geneious) and visualized as tracks. Note, these do not include final prophage calls. <strong>04.phage.genomes</strong> <em>Pg</em> phage genomes in fasta format. <strong>05.phage.prots</strong> <em>Pg</em> phage proteins in fasta format, clipped proteins at the beginnings and ends of genomes are excluded. <strong>06.phage.gbs</strong> <em>Pg</em> phage information in GenBank format, clipped proteins at the beginnings and ends of genomes are excluded. <strong>07.phage.families.virclust</strong> Results of VirClust analysis used to inform resolution family-level units. <strong>08.phage.families.victor</strong> Results of VICTOR analysis used to inform resolution of family-level units.
DOI: 10.17909/fdje-fq59
title: NIRSpec IFU data from Birkin+23

description: NIRSpec IFU F290LP/G395M data for SPT0418-47 and SPT2147-50.
DOI: 10.6084/m9.figshare.19678938
title: Replication package for the ISSTA2023 paper: Virtual Reality (VR) Automated Testing in the Wild: a Case Study on Unity-Based VR Applications

description: The details about this package are explained in the Readme.md file.
DOI: 10.25345/c5pk07b99
title: MassIVE MSV000092103 - Structural Organization of the Retriever-CCC endosomal recycling complex
title: PM proteomics by TMT6plex, comparing WT to EV. 126: EV, rep1 127: EV, rep2 128: EV, rep3 129: WT, rep1 130: WT, rep2 131: WT, rep3
DOI: 10.5281/zenodo.8006894
title: Rawdata EMS 24 hr mortality

description: Rawdata EMS 24 hr mortality
DOI: 10.5281/zenodo.7838189
title: The KI-ASIC Dataset

description: We present a novel dataset captured from a BMW X5 test carrier within the German research project KI-ASIC for use in radar sensor development and autonomous driving research. Our work aims at providing a blueprint for the process of creating labeled datasets for the development of neural networks for pattern recognition in radar data in the automotive environment. With a variety of different sensor types such as wide angle color cameras, a high-resolution color stereo camera, an Ouster OS1-64 laser scanner with gradient beam distribution and three novel Infineon radar sensors, we recorded over 100,000 scenes of real traffic scenarios as well as defined test scenarios with a frequency of 10 Hz. The scenarios in real traffic contain inner-city situations, but also scenes from rural areas with static and dynamic objects. Besides, the defined test scenarios are based on the NCAP scenarios and focus mostly on turning, overtaking and follow-up maneuvers. The data from the different sensors is calibrated, synchronized and timestamped including raw and rectified information. Our dataset also contains labels for all detected objects from a defined class list with distance and angle properties.
description: All datasets are copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. This dataset is made available for academic use only. However, we take your privacy seriously! If you find yourself or personal belongings in this dataset and feel unwell about it, please contact us and we will immediately remove the respective data from our server. Only a small subset is published here. If you need access to the whole dataset, please feel free to contact us at automotive @oth-aw.de via email. Two paper belong to the upload. The first one explaining the data labeling process was already published within the ICECCME 2022 (https://ieeexplore.ieee.org/document/9988075), the other one explaining the dataset in detail will be published soon. A preprint of the second paper is already available at TechRxiv (The KI-ASIC Dataset, https://www.techrxiv.org/articles/preprint/The_KI-ASIC_Dataset/22680358, status from 2023-05-28). The recorded sensor data can be displayed using the exemplary scripts at https://gitlab.com/oth-aw_automotive/scripts-for-ki-asic-dataset.
DOI: 10.5281/zenodo.7838188
title: The KI-ASIC Dataset

description: We present a novel dataset captured from a BMW X5 test carrier within the German research project KI-ASIC for use in radar sensor development and autonomous driving research. Our work aims at providing a blueprint for the process of creating labeled datasets for the development of neural networks for pattern recognition in radar data in the automotive environment. With a variety of different sensor types such as wide angle color cameras, a high-resolution color stereo camera, an Ouster OS1-64 laser scanner with gradient beam distribution and three novel Infineon radar sensors, we recorded over 100,000 scenes of real traffic scenarios as well as defined test scenarios with a frequency of 10 Hz. The scenarios in real traffic contain inner-city situations, but also scenes from rural areas with static and dynamic objects. Besides, the defined test scenarios are based on the NCAP scenarios and focus mostly on turning, overtaking and follow-up maneuvers. The data from the different sensors is calibrated, synchronized and timestamped including raw and rectified information. Our dataset also contains labels for all detected objects from a defined class list with distance and angle properties.
description: All datasets are copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. This dataset is made available for academic use only. However, we take your privacy seriously! If you find yourself or personal belongings in this dataset and feel unwell about it, please contact us and we will immediately remove the respective data from our server. Only a small subset is published here. If you need access to the whole dataset, please feel free to contact us at automotive @oth-aw.de via email. Two paper belong to the upload. The first one explaining the data labeling process was already published within the ICECCME 2022 (https://ieeexplore.ieee.org/document/9988075), the other one explaining the dataset in detail will be published soon. A preprint of the second paper is already available at TechRxiv (The KI-ASIC Dataset, https://www.techrxiv.org/articles/preprint/The_KI-ASIC_Dataset/22680358, status from 2023-05-28). The recorded sensor data can be displayed using the exemplary scripts at https://gitlab.com/oth-aw_automotive/scripts-for-ki-asic-dataset.
DOI: 10.5281/zenodo.8006755
title: The optimal period for oocyte retrieval after the administration of recombinant human chorionic gonadotropin in in vitro fertilization

description: This is the dataset of the study called "The optimal period for oocyte retrieval after the administration of recombinant human chorionic gonadotropin in in vitro fertilization". <strong>Abstract</strong> Background Our objective was to investigate the existence of an optimal period for oocyte retrieval in regards to the clinical pregnancy occurrence after the administration of recombinant human chorionic gonadotropin (rhCG) (Ovitrelle®). Methods We studied the digital records of 3362 middle eastern couples who underwent in vitro fertilization (IVF) treatment between 2019 and 2021. Results Through statistical testing, we found that there is a significant positive correlation between the oocyte retrieval period and the clinical pregnancy occurrence up to the 37th hour, where retrieval at the 37th hour was found to provide the most optimal outcome, especially in the case of gonadotropin-releasing hormone agonist (GnRHa) long protocol. Conclusions This cohort study recommends retrieval at hour 37 after ovulation triggering under the described conditions.
DOI: 10.5281/zenodo.8006756
title: The optimal period for oocyte retrieval after the administration of recombinant human chorionic gonadotropin in in vitro fertilization

description: This is the dataset of the study called "The optimal period for oocyte retrieval after the administration of recombinant human chorionic gonadotropin in in vitro fertilization". <strong>Abstract</strong> Background Our objective was to investigate the existence of an optimal period for oocyte retrieval in regards to the clinical pregnancy occurrence after the administration of recombinant human chorionic gonadotropin (rhCG) (Ovitrelle®). Methods We studied the digital records of 3362 middle eastern couples who underwent in vitro fertilization (IVF) treatment between 2019 and 2021. Results Through statistical testing, we found that there is a significant positive correlation between the oocyte retrieval period and the clinical pregnancy occurrence up to the 37th hour, where retrieval at the 37th hour was found to provide the most optimal outcome, especially in the case of gonadotropin-releasing hormone agonist (GnRHa) long protocol. Conclusions This cohort study recommends retrieval at hour 37 after ovulation triggering under the described conditions.
DOI: 10.15468/dl.ysdvvm
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macropus greyi Waterhouse, 1846"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0378969-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eadkug
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Daucus carota subsp. majoricus A.Pujadas"
 ]
}

 The dataset includes 115 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006298-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ya9fy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Botryosphaeria disrupta (Berk. & M.A.Curtis) Arx & E.Müll.",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101176-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-54627
title: Redemption tidings, vol. 35, nos. 1-46, 2 Jan. - 25 Dec. 1959

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.b39b6b
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithax niger (Hagen, 1859))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 331 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0244577-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txcdmm
title: Occurrence Download

description: A dataset containing 10599715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10599715 records from 1247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0205013-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkvzjw
title: Occurrence Download

description: A dataset containing 3696 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Azadirachta indica A.Juss.",
 "TaxonKey is Azolla caroliniana Willd."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3696 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011443-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.