cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8371502
title: 7in 1 Sensor Dataset for Cotton fields in Pakistan 2023

description: The crop type, unique device IDs, sowing dates, cultivated area in acres, specific geographical coordinates, location names, relevant document links, monitoring dates, and sensor data are all included in this file. The collection contains several instances of cotton farming, each with its own set of features. Cotton Crop ID: A unique identifier for the monitoring gadget. Sowing Date: The date the cotton crop was planted. Acreage: The total land area dedicated to cotton farming, measured in acres. Coordinates: The cotton field's specific geographical coordinates, provided in latitude and longitude, which aid in accurate location identification. Location: The name of the area or region in which the cotton crop is grown (for example, Rahimyar Khan, Shah Alam Shah, Matiari, Sindh). Document connection: A connection to related cotton crop documents or records, which may contain further data, reports, or documentation. The date on which the cotton crop was monitored or evaluated for various parameters.<br> Sensor Data: Information gathered from sensors during monitoring, which may include information on environmental conditions, growth metrics, or other agricultural parameters.<br> This dataset contains numerous cotton cultivation instances, each of which is individually recognized by a combination of crop kind, device ID, and monitoring data. It offers vital information into the cultivation process, allowing researchers and stakeholders to assess cotton crop development, conditions, and performance over time, ultimately contributing to informed agricultural decision-making.
DOI: 10.5281/zenodo.8371501
title: 7in 1 Sensor Dataset for Cotton fields in Pakistan 2023

description: The crop type, unique device IDs, sowing dates, cultivated area in acres, specific geographical coordinates, location names, relevant document links, monitoring dates, and sensor data are all included in this file. The collection contains several instances of cotton farming, each with its own set of features. Cotton Crop ID: A unique identifier for the monitoring gadget. Sowing Date: The date the cotton crop was planted. Acreage: The total land area dedicated to cotton farming, measured in acres. Coordinates: The cotton field's specific geographical coordinates, provided in latitude and longitude, which aid in accurate location identification. Location: The name of the area or region in which the cotton crop is grown (for example, Rahimyar Khan, Shah Alam Shah, Matiari, Sindh). Document connection: A connection to related cotton crop documents or records, which may contain further data, reports, or documentation. The date on which the cotton crop was monitored or evaluated for various parameters.<br> Sensor Data: Information gathered from sensors during monitoring, which may include information on environmental conditions, growth metrics, or other agricultural parameters.<br> This dataset contains numerous cotton cultivation instances, each of which is individually recognized by a combination of crop kind, device ID, and monitoring data. It offers vital information into the cultivation process, allowing researchers and stakeholders to assess cotton crop development, conditions, and performance over time, ultimately contributing to informed agricultural decision-making.
DOI: 10.5281/zenodo.8371516
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Roslyn Garnet, http://www.wikidata.org/entity/Q6453231. 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/Q6453231
DOI: 10.5281/zenodo.8371515
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by John Roslyn Garnet, http://www.wikidata.org/entity/Q6453231. 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/Q6453231
DOI: 10.6084/m9.figshare.24186024
title: Cotton Crop (Pakistan, 2023)

description: This dataset provides detailed information on cotton crops, including the crop type, unique device IDs, sowing dates, cultivated area in acres, precise geographical coordinates, location names, associated document links, monitoring dates, and sensor data. The dataset encompasses multiple instances of cotton cultivation, each represented by a unique set of attributes.<br>Crop Type: CottonDevice ID: Unique identifier for the monitoring deviceSowing Date: The date on which the cotton crop was sown.Area in Acres: The total land area, measured in acres, dedicated to cotton cultivation.Coordinates: The precise geographical coordinates of the cotton field, specified in latitude and longitude, aiding in accurate location identification.Location<b>: </b>The name of the location or region where the cotton crop is cultivated (e.g., Rahimyar Khan, Shah Alam Shah, Matiari, Sindh).Monitoring Date: The date on which the cotton crop was monitored or assessed for various parameters.Sensors Data: Information collected from sensors during monitoring, potentially encompassing data on environmental conditions, growth metrics, or other relevant agricultural factors.This dataset contains numerous cotton cultivation instances, each of which is individually recognized by a combination of crop kind, device ID, and monitoring date. It offers vital information into the cultivation process, allowing researchers and stakeholders to assess cotton crop development, conditions, and performance over time, ultimately contributing to informed agricultural decision-making.
DOI: 10.5281/zenodo.8371528
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eric John Godley, http://www.wikidata.org/entity/Q5386820. 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/Q5386820
DOI: 10.5281/zenodo.8371527
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eric John Godley, http://www.wikidata.org/entity/Q5386820. 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/Q5386820
DOI: 10.5281/zenodo.8371539
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugh Douglas Gordon, http://www.wikidata.org/entity/Q21514135. 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/Q21514135
DOI: 10.5281/zenodo.8371538
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hugh Douglas Gordon, http://www.wikidata.org/entity/Q21514135. 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/Q21514135
DOI: 10.5281/zenodo.8371572
title: A scoping review of multi-level governance of forests in the Philippines

description: This review scopes the landscape of multi-level forest governance in the Philippines, providing a clearer picture of potential gaps and opportunities for further development in the field.
DOI: 10.5281/zenodo.8371571
title: A scoping review of multi-level governance of forests in the Philippines

description: This review scopes the landscape of multi-level forest governance in the Philippines, providing a clearer picture of potential gaps and opportunities for further development in the field.
DOI: 10.5281/zenodo.8371594
title: Stress and frequency dependence of wave velocities in saturated rocks: an acoustoelasticity-squirt flow model

description: These data are the P- and S-wave velocities obtained by Ba et al. through ultrasonic experimental measurements and the seismic measurements on a rock sample at different pressures. In the package of data, wave velocities measured at different pore fluids and frequencies are saved as different XLSX files. The title of each XLSX file includes the sample number, saturation condition and measurement frequency. For instance, “Sample D_Seismic_Brine” denotes that wave velocities of sample D measured with the full brine saturation are measured at seismic frequency, while “Sample D_Ultrasonic_Gas” denotes that wave velocities of gas-saturated sample D are measured at ultrasonic frequency. The package also includes the TXT file of sample properties. In the TXT files of seismic measurements, the first column gives the differential pressure values, the second column gives frequency values, the third and fourth column gives P- and S-wave velocities. In the TXT files of ultrasonic measurements, the first column gives the differential pressure values, the second and third column gives P- and S-wave velocities.
DOI: 10.5281/zenodo.8371593
title: Stress and frequency dependence of wave velocities in saturated rocks: an acoustoelasticity-squirt flow model

description: These data are the P- and S-wave velocities obtained by Ba et al. through ultrasonic experimental measurements and the seismic measurements on a rock sample at different pressures. In the package of data, wave velocities measured at different pore fluids and frequencies are saved as different XLSX files. The title of each XLSX file includes the sample number, saturation condition and measurement frequency. For instance, “Sample D_Seismic_Brine” denotes that wave velocities of sample D measured with the full brine saturation are measured at seismic frequency, while “Sample D_Ultrasonic_Gas” denotes that wave velocities of gas-saturated sample D are measured at ultrasonic frequency. The package also includes the TXT file of sample properties. In the TXT files of seismic measurements, the first column gives the differential pressure values, the second column gives frequency values, the third and fourth column gives P- and S-wave velocities. In the TXT files of ultrasonic measurements, the first column gives the differential pressure values, the second and third column gives P- and S-wave velocities.
DOI: 10.6084/m9.figshare.23732370
title: PLANET cohort

description: Identification of the association between onco-fetal niche and relapse in PLANET cohort of HCC.
DOI: 10.6084/m9.figshare.22332568
title: HCC atlas

description: To profile the tumor microenvironment (TME) landscape in HCC, we compiled a single-cell atlas with 251,761 cells from 83 donors enrolled in 6 studies. Unsupervised clustering revealed 7 major cell components, including hepatocytes, mesenchymal cells, endothelial cells, myeloid cells, B cells, T cells and NK cells, which were further partitioned through a second round of clustering to generate 53 clusters.
DOI: 10.6084/m9.figshare.22332397
title: HCC and Fetal Liver Nanostring DSP Data

description: Using NanoString GeoMx digital spatial profiling (DSP) whole transcriptome (~18,000 genes), we profiled 72 regions of interests (ROIs) from 6 slides, including 2 slides of fetal liver. The tumor and adjacent normal tissues were collected from patient B015 (non-relapsed) and B017 (relapsed).
DOI: 10.6084/m9.figshare.22332352
title: HCC Immunotherapy Stereo-seq Data

description: We collected additional tumor tissues from the initial resection of two early-stage HCC patients for Stereo-seq. These patients were later put on immunotherapy with atezolizumab + bevacizumab after the recurrence and exhibited a clinical response (M311) or resistance (M316) to the combination therapy.
DOI: 10.6084/m9.figshare.24182547.v2
title: <b>KEPES</b> <b>Journal</b>

description: <b>Journal Link:</b> https://scholopress.com/kepes-journal<b>Journal DOI:</b> 10.6084/m9.figshare.24182547MissionTo promote research in the rapidly expanding disciplines of <b><i>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</i></b><b><i> </i></b>and <b><i>Management</i></b>, and provide a forum for dissemination of research findings of scholars and academicians on pertinent issues. The journal aims to provide a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the academia.Aims and Scope<b><i>KEPES</i></b> Journal is a peer-reviewed and <b>SCOPUS</b> indexed scientific international journal dedicated to publish and disseminate the high quality scientific research work in all the fields of;ArtsHumanitiesSciencesEducationSocial sciencesEngineering and TechnologyCommerceManagementAll articles published in <i>Kepes</i><i> </i>Journal are peer reviewed.<b>KEPES</b><sup>Q1</sup> Journal is now publishing in multidisciplinary fields. The journal was recently shifted to <b>Multidisciplinary</b><b> </b>fields including <b>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</b><b> </b>and <b>Management</b>. The manifest concern to confront the research findings and reviews from <b>Multidisciplinary</b><b> </b>subject areas has led to consider the need to generate stable academic communities to allow the exchange of ideas in order to address responsibly the challenges. In this sense KEPES Journal is proposed on a scenario framed in the lineaments of scientific nature, research dissemination and reflections underway in various national and international academic institutions.
DOI: 10.6084/m9.figshare.24182547.v4
title: <b>KEPES</b> <b>Journal</b>

description: <b>Journal Link:</b> https://scholopress.com/kepes-journal<b>Journal DOI:</b> 10.6084/m9.figshare.24182547MissionTo promote research in the rapidly expanding disciplines of <b><i>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</i></b><b><i> </i></b>and <b><i>Management</i></b>, and provide a forum for dissemination of research findings of scholars and academicians on pertinent issues. The journal aims to provide a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the academia.Aims and Scope<b><i>KEPES</i></b> Journal is a peer-reviewed and <b>SCOPUS</b> indexed scientific international journal dedicated to publish and disseminate the high quality scientific research work in all the fields of;ArtsHumanitiesSciencesEducationSocial sciencesEngineering and TechnologyCommerceManagementAll articles published in <i>Kepes</i><i> </i>Journal are peer reviewed.<b>KEPES</b><sup>Q1</sup> Journal is now publishing in multidisciplinary fields. The journal was recently shifted to <b>Multidisciplinary</b><b> </b>fields including <b>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</b><b> </b>and <b>Management</b>. The manifest concern to confront the research findings and reviews from <b>Multidisciplinary</b><b> </b>subject areas has led to consider the need to generate stable academic communities to allow the exchange of ideas in order to address responsibly the challenges. In this sense KEPES Journal is proposed on a scenario framed in the lineaments of scientific nature, research dissemination and reflections underway in various national and international academic institutions.
DOI: 10.6084/m9.figshare.24182547.v3
title: <b>KEPES</b> <b>Journal</b>

description: <b>Journal Link:</b> https://scholopress.com/kepes-journal<b>Journal DOI:</b> 10.6084/m9.figshare.24182547MissionTo promote research in the rapidly expanding disciplines of <b><i>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</i></b><b><i> </i></b>and <b><i>Management</i></b>, and provide a forum for dissemination of research findings of scholars and academicians on pertinent issues. The journal aims to provide a forum for a broad blend of scientific and technical papers to reflect the evolving needs of the academia.Aims and Scope<b><i>KEPES</i></b> Journal is a peer-reviewed and <b>SCOPUS</b> indexed scientific international journal dedicated to publish and disseminate the high quality scientific research work in all the fields of;ArtsHumanitiesSciencesEducationSocial sciencesEngineering and TechnologyCommerceManagementAll articles published in <i>Kepes</i><i> </i>Journal are peer reviewed.<b>KEPES</b><sup>Q1</sup> Journal is now publishing in multidisciplinary fields. The journal was recently shifted to <b>Multidisciplinary</b><b> </b>fields including <b>Arts, Humanities, Sciences, Education, Social sciences, Engineering and Technology, Commerce</b><b> </b>and <b>Management</b>. The manifest concern to confront the research findings and reviews from <b>Multidisciplinary</b><b> </b>subject areas has led to consider the need to generate stable academic communities to allow the exchange of ideas in order to address responsibly the challenges. In this sense KEPES Journal is proposed on a scenario framed in the lineaments of scientific nature, research dissemination and reflections underway in various national and international academic institutions.
DOI: 10.6084/m9.figshare.19771755.v1
title: Water eDNA metabarcoding is effective in detecting non-native species in marinas, but detection errors still hinder its use for passive monitoring

description: Marinas are high-priority targets for marine non-indigenous species (NIS), where they compose a large portion of the biofouling communities. The practicality of water samples collection makes environmental DNA (eDNA) metabarcoding an interesting tool for routine NIS surveys. Here the effectiveness of water-eDNA-metabarcoding to identify biofouling NIS, in 10 marinas from western France, was examined. Morphological identification of specimens collected in quadrats brought out 18 sessile benthic NIS beneath floating pontoons. Water-eDNA-metabarcoding detected two thirds of them, failing to detect important NIS. However, sampling and bioinformatics filtering steps can be optimized to identify more species. In addition, this method allowed the detection of additional NIS from neighboring micro-habitats. Caution should, however, be taken when reporting putative novel NIS, because of errors in species assignment. This work highlights that water-eDNA-metabarcoding is effective for active (targeted) NIS surveys and could be significantly improved for its further use in marine NIS passive surveys.
DOI: 10.6084/m9.figshare.19771755
title: Water eDNA metabarcoding is effective in detecting non-native species in marinas, but detection errors still hinder its use for passive monitoring

description: Marinas are high-priority targets for marine non-indigenous species (NIS), where they compose a large portion of the biofouling communities. The practicality of water samples collection makes environmental DNA (eDNA) metabarcoding an interesting tool for routine NIS surveys. Here the effectiveness of water-eDNA-metabarcoding to identify biofouling NIS, in 10 marinas from western France, was examined. Morphological identification of specimens collected in quadrats brought out 18 sessile benthic NIS beneath floating pontoons. Water-eDNA-metabarcoding detected two thirds of them, failing to detect important NIS. However, sampling and bioinformatics filtering steps can be optimized to identify more species. In addition, this method allowed the detection of additional NIS from neighboring micro-habitats. Caution should, however, be taken when reporting putative novel NIS, because of errors in species assignment. This work highlights that water-eDNA-metabarcoding is effective for active (targeted) NIS surveys and could be significantly improved for its further use in marine NIS passive surveys.
DOI: 10.7294/19986026
title: Investigation of the Relationships Between Geotechnical Sediment Properties and Sediment Dynamics Using Geotechnical and Geophysical Field Measurements

description: This dataset includes field and laboratory data collected to characterize and measure sediment properties at four sites: Delaware Bay, DE; Pea Island, NC; York River, VA and James River, VA. It includes the raw and processed data for different instruments used, in addition to laboratory test results. It also includes the codes and sheets used for analysis.
DOI: 10.7294/19986026.v1
title: Investigation of the Relationships Between Geotechnical Sediment Properties and Sediment Dynamics Using Geotechnical and Geophysical Field Measurements

description: This dataset includes field and laboratory data collected to characterize and measure sediment properties at four sites: Delaware Bay, DE; Pea Island, NC; York River, VA and James River, VA. It includes the raw and processed data for different instruments used, in addition to laboratory test results. It also includes the codes and sheets used for analysis.
DOI: 10.5281/zenodo.6627127
title: LibINVENT: Reaction-based Generative Scaffold Decoration for in Silico Library Design

description: Training datasets used for LibINVENT publication https://doi.org/10.1021/acs.jcim.1c00469. The datasets used for training of the prior: <strong>purged_chembl_sliced.smi.gz:</strong> The CHEMBl 27 compounds, filtered according to the rules described in the manuscript and sliced according to the reaction rules. <strong>chembl_train.smi.gz:</strong> The purged, sliced dataset used for model training. The DRD2 compounds are removed as described in the manuscript.
DOI: 10.5281/zenodo.6627126
title: LibINVENT: Reaction-based Generative Scaffold Decoration for in Silico Library Design

description: Training datasets used for LibINVENT publication https://doi.org/10.1021/acs.jcim.1c00469. The datasets used for training of the prior: <strong>purged_chembl_sliced.smi.gz:</strong> The CHEMBl 27 compounds, filtered according to the rules described in the manuscript and sliced according to the reaction rules. <strong>chembl_train.smi.gz:</strong> The purged, sliced dataset used for model training. The DRD2 compounds are removed as described in the manuscript.
DOI: 10.5258/soton/d2165
title: Dataset for the journal article: "Back-end-of-line SiC based memristor for resistive memory and artificial synapse"

description: Dataset to support the figures in the paper "Back-end-of-line SiC based memristor for resistive memory and artificial synapse". Published in Advanced Electronic Materials
DOI: 10.6084/m9.figshare.20037095
title: sert13.5_cat_atac.steric38.bw

description: atac sec ertoli 13.5 scott
DOI: 10.6084/m9.figshare.20037095.v1
title: sert13.5_cat_atac.steric38.bw

description: atac sec ertoli 13.5 scott
DOI: 10.6084/m9.figshare.20037080
title: Data_3

description: Data used for the analysis presented in figure 5
DOI: 10.6084/m9.figshare.20037080.v1
title: Data_3

description: Data used for the analysis presented in figure 5
DOI: 10.5519/qd.i6oh7zdf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5150023 records)
DOI: 10.21258/1638654
title: Inventario forestale nazionale svizzero - Tabella n. 847679
DOI: 10.21258/1638655
title: Inventario forestale nazionale svizzero - Tabella n. 871230
DOI: 10.21258/1638656
title: Inventario forestale nazionale svizzero - Tabella n. 804258
DOI: 10.21258/1638657
title: Inventario forestale nazionale svizzero - Tabella n. 890924
DOI: 10.21258/1638652
title: Inventario forestale nazionale svizzero - Tabella n. 889804
DOI: 10.21258/1638653
title: Inventario forestale nazionale svizzero - Tabella n. 849158
DOI: 10.21258/1638648
title: Inventario forestale nazionale svizzero - Tabella n. 853418
DOI: 10.21258/1638649
title: Inventario forestale nazionale svizzero - Tabella n. 882884
DOI: 10.21258/1638650
title: Inventario forestale nazionale svizzero - Tabella n. 816031