cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2023-04.2779846/2332651
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2777936/2332652
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2778037/2332653
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779571/2332654
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2777751/2332655
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779896/2332656
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2777680/2332657
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2779158/2332658
title: Data for EMSL Project 51287 from March 2023
DOI: 10.15468/dl.mxh8g5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus zhungdianensis W.T.Wang"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095410-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2779731/2332659
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2779068/2332660
title: Data for EMSL Project 51287 from March 2023
DOI: 10.15468/dl.x5aqxc
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rinorea exappendiculata Engl."
 ]
}

 The dataset includes 141 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095411-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-03.2777677/2332661
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2778518/2332662
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779741/2332663
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2779183/2332664
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2777864/2332665
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779401/2332666
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2779870/2332667
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2779924/2332668
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.mhkj9j
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium cerastoides (L.) Britton",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095412-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-03.2778797/2332669
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2779007/2332670
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779583/2332671
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2777872/2332672
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779929/2332673
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2778194/2332674
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2778972/2332675
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-04.2779603/2332676
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2777821/2332677
title: Data for EMSL Project 51287 from March 2023
DOI: 10.15468/dl.h65q97
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ranunculus zmudae Jasiewicz"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095413-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2779891/2332678
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2779754/2332679
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2779878/2332680
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-03.2779099/2332681
title: Data for EMSL Project 51287 from March 2023
DOI: 10.15468/dl.ey2tp4
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rinorea fausteana Achound."
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095414-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2779752/2332682
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2022-10.2616784/2332683
title: Data for EMSL Project 51544 from October 2022
DOI: 10.25582/data.2022-04.2503841/2332684
title: Data for EMSL Project 51544 from April 2022
DOI: 10.25582/data.2022-04.2503814/2332685
title: Data for EMSL Project 51544 from April 2022
DOI: 10.25582/data.2022-04.2503845/2332686
title: Data for EMSL Project 51544 from April 2022
DOI: 10.25582/data.2023-04.2779345/2332687
title: Data for EMSL Project 51544 from April 2023
DOI: 10.15468/dl.9n5eju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium decalvans Schloss. & Vuk.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095415-240321170329656/datasets/export for details.
DOI: 10.25582/data.2022-01.2413744/2332688
title: Data for EMSL Project 51544 from January 2022
DOI: 10.25582/data.2023-04.2779343/2332689
title: Data for EMSL Project 51544 from April 2023
DOI: 10.25582/data.2023-03.2779181/2332690
title: Data for EMSL Project 60410 from March 2023
DOI: 10.25582/data.2023-03.2779166/2332691
title: Data for EMSL Project 60410 from March 2023
DOI: 10.25582/data.2023-03.2770628/2332692
title: Data for EMSL Project 51335 from March 2023
DOI: 10.25582/data.2022-10.2619264/2332693
title: Data for EMSL Project 51335 from October 2022
DOI: 10.6084/m9.figshare.25537273.v1
title: data.rar

description: A very small number of former researches on the accessibility of public facilities focused on sports facilities. Besides, detecting sports facilities and optimizing the distribution of sports facilities are rarely involved. This study addresses the challenge of enhancing the accessibility and equality of outdoor sports facilities through a novel framework based on multisource sensing data. It aims to expand the way of obtaining outdoor sports facilities AOI through deep learning object detection methods using remote sensing imagery, and bridge the gap in current research that often overlooks equality in optimizing the accessibility of sports infrastructure. By harmonizing the expansion of accessibility with the imperative of equality and balancing the use of existing sports facilities against the need for new developments, this framework proposes a novel approach to optimizing the spatial accessibility of outdoor sports amenities. The study identified outdoor sports facilities in Shanghai using advanced deep-learning techniques on remote sensing data. It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. The recognition method achieved a precision and recall rate of 88% and 96%, respectively. Notably, the optimization efforts resulted in a 73% increase in accessibility while significantly reducing the Gini coefficient from 0.58 to 0.34, demonstrating the framework's effectiveness in ensuring equal access to sports facilities.
DOI: 10.25582/data.2023-03.2768289/2332694
title: Data for EMSL Project 51335 from March 2023
DOI: 10.25582/data.2023-03.2768308/2332695
title: Data for EMSL Project 51335 from March 2023
DOI: 10.6073/pasta/4d12833442bafba9ce10c4fd20bb12ab
title: Multi-year census of arthropod abundance on the plant Ligusticum porteri near Crested Butte, CO

description: The purpose of this study was to track year-to-year variation in aphid abundance on the host plant Ligusticum porteri (Apiaceae). We censused arthropod abundance on the flowering stalks of L. porteri weekly in June-August from 2017 to 2021. The censuses took place in ten L. porteri populations near Crested Butte, CO. The sites were by Brush Creek, Lake Irwin, and Washington Gulch. While the same populations were used across years, we randomly selected ten flowering plants in each population in each year (N = 100 plants per year). Observations focused on colonization by the aphid Aphis asclepiadis, its mutualist ants, and natural enemies. When found, we counted other arthropods as well, identifying them to Family or Order in the field. We also counted the number of host plant flowering stalks and inflorescences (umbel). We tracked flowering phenology using a numerical score (0-8). To track senescence, we used a qualitative score (TB=turning brown and AB=all brown) for terminal and primary umbels.
DOI: 10.6073/pasta/b2e6f9bc9b72c5b803a59c8aa8be5b5a
title: Multi-year census of arthropod abundance on the plant Ligusticum porteri near Gothic, CO

description: The purpose of this study was to track year-to-year variation in aphid abundance on the host plant Ligusticum porteri (Apiaceae). We censused arthropod abundance on the flowering stalks of L. porteri weekly in June-August from 2012 to 2020. The censuses took place in ten L. porteri populations near the Rocky Mountain Biological Laboratory in Gothic, CO. While the same populations were used across years, we randomly selected ten flowering plants in each population in each year (N = 100 plants per year). Observations focused on colonization by the aphid Aphis asclepiadis, its mutualist ants, and natural enemies. When found, we counted other arthropods as well, identifying them to Family or Order in the field. We also counted the number of host plant flowering stalks and inflorescences (umbel). In 2016, we began tracking flowering phenology using a numerical score (0-8). To track senescence, we used a qualitative score (TB=turning brown and AB=all brown) for terminal and primary umbels.
DOI: 10.25582/data.2022-10.2621938/2332696
title: Data for EMSL Project 51335 from October 2022
DOI: 10.25582/data.2022-10.2617234/2332697
title: Data for EMSL Project 51335 from October 2022
DOI: 10.25582/data.2023-03.2760283/2332698
title: Data for EMSL Project 51335 from March 2023
DOI: 10.25582/data.2023-03.2770765/2332699
title: Data for EMSL Project 51335 from March 2023
DOI: 10.25582/data.2022-10.2617289/2332700
title: Data for EMSL Project 51335 from October 2022
DOI: 10.25582/data.2023-03.2760389/2332701
title: Data for EMSL Project 51335 from March 2023
DOI: 10.25582/data.2022-09.2612331/2332702
title: Data for EMSL Project 51335 from September 2022
DOI: 10.15468/dl.9jqexb
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rinorea ferruginea Engl."
 ]
}

 The dataset includes 185 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095417-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23512822.v1
title: Additional file 4 of Genome-wide investigation of NLP gene family members in alfalfa (Medicago sativa L.): evolution and expression profiles during development and stress

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.23512825
title: Additional file 5 of Genome-wide investigation of NLP gene family members in alfalfa (Medicago sativa L.): evolution and expression profiles during development and stress

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.23512825.v1
title: Additional file 5 of Genome-wide investigation of NLP gene family members in alfalfa (Medicago sativa L.): evolution and expression profiles during development and stress

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.23512828.v1
title: Additional file 6 of Genome-wide investigation of NLP gene family members in alfalfa (Medicago sativa L.): evolution and expression profiles during development and stress

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.23512828
title: Additional file 6 of Genome-wide investigation of NLP gene family members in alfalfa (Medicago sativa L.): evolution and expression profiles during development and stress

description: Supplementary Material 6
DOI: 10.5281/zenodo.6369383
title: Flower morphology as a predictor of pollination mode in a biotic to abiotic pollination continuum

description: Supplementary data, scripts and output for the manuscript published in Annals of Botany ( https://doi.org/10.1093/aob/mcad069). Please see the "README.md" file for more information on content.
description: Funding was provided by NSF DEB 1911539 and The Fred C Gloeckner Foundation (VSD), the Mary Sue Ittner Pacific Bulb Society grant (SRH), and NSF Graduate Research Fellowship DGE-1650441 (JMG).
DOI: 10.5281/zenodo.6369382
title: Flower morphology as a predictor of pollination mode in a biotic to abiotic pollination continuum

description: Supplementary data, scripts and output for the manuscript published in Annals of Botany ( https://doi.org/10.1093/aob/mcad069). Please see the "README.md" file for more information on content.
description: Funding was provided by NSF DEB 1911539 and The Fred C Gloeckner Foundation (VSD), the Mary Sue Ittner Pacific Bulb Society grant (SRH), and NSF Graduate Research Fellowship DGE-1650441 (JMG).
DOI: 10.5281/zenodo.7791559
title: Dataset for computational study of the ALS mutation G335D modulating the dimerization of TDP-43 amyloidogenic core peptide

description: This dataset consist the following contents: 1. The data used to generate MD/RSET2 trajectories for WT and G335D systems, including initial structures, parameter files and topology files; 2. The final structures and representative conformations of intermediates for WT and G335D systems in MD simulations; 3. Representative conformations of the top eight clusters for WT and G335D systems in REST2 simulations.
DOI: 10.5281/zenodo.7791558
title: Dataset for computational study of the ALS mutation G335D modulating the dimerization of TDP-43 amyloidogenic core peptide

description: This dataset consist the following contents: 1. The data used to generate MD/RSET2 trajectories for WT and G335D systems, including initial structures, parameter files and topology files; 2. The final structures and representative conformations of intermediates for WT and G335D systems in MD simulations; 3. Representative conformations of the top eight clusters for WT and G335D systems in REST2 simulations.
DOI: 10.5281/zenodo.7687559
title: CH-2 result of RoPeR on Tianwen-1 mission

description: This is the CH-2 result of RoPeR on Tianwen-1 mission.
DOI: 10.5281/zenodo.7687560
title: CH-2 result of RoPeR on Tianwen-1 mission

description: This is the CH-2 result of RoPeR on Tianwen-1 mission.
DOI: 10.5281/zenodo.8035493
title: CH-2 result of RoPeR on Tianwen-1 mission

description: This is the CH-2 result of RoPeR on Tianwen-1 mission.
DOI: 10.17608/k6.auckland.21397377.v2
title: NeurIPS 2022 Datasets

description: This paper presents a comprehensive and quality collection of functional human brain network data for potential research in the intersection of neuroscience, machine learning, and graph analytics. <br> Anatomical and functional MRI images of the brain have been used to understand the functional connectivity of the human brain and are particularly important in identifying underlying neurodegenerative conditions such as Alzheimer's, Parkinson's, and Autism. Recently, the study of the brain in the form of brain networks using machine learning and graph analytics has become increasingly popular, especially to predict the early onset of these conditions. A brain network, represented as a graph, retains richer structural and positional information that traditional examination methods are unable to capture. However, the lack of brain network data transformed from functional MRI images prevents researchers from data-driven explorations. One of the main difficulties lies in the complicated domain-specific preprocessing steps and the exhaustive computation required to convert data from MRI images into brain networks. We bridge this gap by collecting a large amount of available MRI images from existing studies, working with domain experts to make sensible design choices, and preprocessing the MRI images to produce a collection of brain network datasets. The datasets originate from 5 different sources, cover 3 neurodegenerative conditions, and consist of a total of 2,642 subjects. <br> We test our graph datasets on 5 machine learning models commonly used in neuroscience and on a recent graph-based analysis model to validate the data quality and to provide domain baselines. To lower the barrier to entry and promote the research in this interdisciplinary field, we release our complete preprocessing details, codes, and brain network data. <br> <br> To stay informed about the new updates of the datasets, kindly provide us with your email address: https://forms.gle/KGAajR6LEysXWKvKA
DOI: 10.6084/m9.figshare.23512854
title: 高危人群数据.xlsx

description: Hearing loss
DOI: 10.6084/m9.figshare.23512854.v1
title: 高危人群数据.xlsx

description: Hearing loss
DOI: 10.5281/zenodo.8035509
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Maria Wilman, http://www.wikidata.org/entity/Q4815168. 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/Q4815168
DOI: 10.5281/zenodo.8035508
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Maria Wilman, http://www.wikidata.org/entity/Q4815168. 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/Q4815168
DOI: 10.5281/zenodo.8035519
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Franz Elfried Wimmer, http://www.wikidata.org/entity/Q90276. 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/Q90276
DOI: 10.5281/zenodo.8035518
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Franz Elfried Wimmer, http://www.wikidata.org/entity/Q90276. 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/Q90276
DOI: 10.5281/zenodo.8035521
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ion James Muirhead Williams, http://www.wikidata.org/entity/Q1030023. 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/Q1030023
DOI: 10.5281/zenodo.8035520
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ion James Muirhead Williams, http://www.wikidata.org/entity/Q1030023. 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/Q1030023
DOI: 10.5281/zenodo.8035527
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Beatrice Willard, http://www.wikidata.org/entity/Q4877207. 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/Q4877207
DOI: 10.5281/zenodo.8035526
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Beatrice Willard, http://www.wikidata.org/entity/Q4877207. 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/Q4877207
DOI: 10.5281/zenodo.8035535
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Piotr Pawlus Wierzbicki, http://www.wikidata.org/entity/Q6076533. 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/Q6076533
DOI: 10.5281/zenodo.8035541
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrzej Wiktor, http://www.wikidata.org/entity/Q9153932. 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/Q9153932
DOI: 10.5281/zenodo.8035540
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Andrzej Wiktor, http://www.wikidata.org/entity/Q9153932. 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/Q9153932
DOI: 10.5281/zenodo.8035545
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Mary Wharton, http://www.wikidata.org/entity/Q16012712. 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/Q16012712