cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-13-32554-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-32555-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-32556-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-DRY-DAYS

description: Climate Models
DOI: 10.17171/1-13-32557-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-FROST-DAYS

description: Climate Models
DOI: 10.17171/1-13-32558-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-32559-1
title: WORLD GRIDDED-DATASET ECHAM5 3000BP MULTY-YEAR-MONTHLY-VALUES MEAN CONSECUTIVE-WET-DAYS

description: Climate Models
DOI: 10.17171/1-13-28499-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-28500-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-28501-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-28502-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-28503-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-28504-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 5thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-28505-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-28506-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-28507-1
title: WORLD FIELD-AVERAGE ECHAM5 4000BP MULTY-YEAR-MONTHLY-VALUES 75thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-29259-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN LATENT-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-29260-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN MEAN-SEA-LEVEL-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-29261-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SENSIBLE-HEAT-FLUX

description: Climate Models
DOI: 10.17171/1-13-29262-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SIMPLE-DAILY-INTENSITY

description: Climate Models
DOI: 10.17171/1-13-29263-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-29264-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-29265-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SUMMER-DAYS

description: Climate Models
DOI: 10.17171/1-13-29266-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-29267-1
title: WORLD FIELD-AVERAGE ECHAM5 5000BP MULTY-YEAR-MONTHLY-VALUES MEAN SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-30105-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES 98thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-30106-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES 98thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-30107-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES 98thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-30108-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES 98thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-30109-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES MAX 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-30110-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES MAX 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-30111-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES MAX 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-30112-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES MAX 2M-RELATIVE-HUMIDITY

description: Climate Models
DOI: 10.17171/1-13-30113-1
title: WORLD FIELD-AVERAGE ECHAM5 6000BP TIME-RANGE-VALUES MAX 2M-TEMPERATURE

description: Climate Models
DOI: 10.17171/1-13-30921-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-DEPTH

description: Climate Models
DOI: 10.17171/1-13-30922-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SNOW-FALL

description: Climate Models
DOI: 10.17171/1-13-30923-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SURFACE-ALBEDO

description: Climate Models
DOI: 10.17171/1-13-30924-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile SURFACE-PRESSURE

description: Climate Models
DOI: 10.17171/1-13-30925-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile TOTAL-CLOUD-COVER

description: Climate Models
DOI: 10.17171/1-13-30926-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 5thPercentile TOTAL-PRECIPITATION

description: Climate Models
DOI: 10.17171/1-13-30927-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 10M-WIND-DIRECTION

description: Climate Models
DOI: 10.17171/1-13-30928-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 10M-WINDSPEED

description: Climate Models
DOI: 10.17171/1-13-30929-1
title: WORLD GRIDDED-DATASET ECHAM5 2000BP MULTI-YEAR-SEASONAL-VALUES 75thPercentile 2M-DEW-POINT-TEMPERATURE

description: Climate Models
DOI: 10.5281/zenodo.10466131
title: Timestamp_Analysis_alcrlp_v1.2.zip
DOI: 10.5281/zenodo.10466132
title: Timestamp_Analysis_alcrlp_v1.2.zip
DOI: 10.6084/m9.figshare.24032061.v3
title: Ahn (2023) [ Table 2&3 ]

description: Table 2 & 3 in the manuscript
DOI: 10.6084/m9.figshare.24032037
title: Ahn (2023) [ Data used for figure and table ]

description: Data used for figure and table in the study.
DOI: 10.6084/m9.figshare.24032037.v2
title: Ahn (2023) [ Data used for figure and table ]

description: Data used for figure and table in the study.
DOI: 10.6084/m9.figshare.24032037.v3
title: Ahn (2023) [ Data used for figure and table ]

description: Data used for figure and table in the study.
DOI: 10.6084/m9.figshare.24954606
title: gsa_chrallqc.bim.gz

description: Not to much
DOI: 10.6084/m9.figshare.24954606.v1
title: gsa_chrallqc.bim.gz

description: Not to much
DOI: 10.5281/zenodo.10453604
title: Uncovering the dominant contribution of intermediate volatility compounds in secondary organic aerosol formation from biomass-burning emissions
DOI: 10.5281/zenodo.10453605
title: Uncovering the dominant contribution of intermediate volatility compounds in secondary organic aerosol formation from biomass-burning emissions
DOI: 10.5281/zenodo.10453642
title: Uncovering the dominant contribution of intermediate volatility compounds in secondary organic aerosol formation from biomass-burning emissions
DOI: 10.5281/zenodo.10466159
title: A spectral data release of 104 Type II Supernovae from Tsinghua Supernova Group
DOI: 10.5281/zenodo.10466160
title: A spectral data release of 104 Type II Supernovae from Tsinghua Supernova Group
DOI: 10.6084/m9.figshare.24954597.v1
title: Data: Ecological niche conservatism spurs diversification in response to climate change

description: The datasets contain all the dataset and scripts used to generate the figures with the title "Ecological niche conservatism spurs diversification in response to climate change", which is going to be online on Nature Ecology & Evolution soon.AbstractA longstanding debate has focused on the relationship between evolutionary innovation in ecological niches of species and rates of biological diversification of those species. As such questions across broad scales of time and space, short-term experiments or scattered fossil evidences are not feasible, and contrasting opinions have emerged: niche innovation might allow species to explore and colonize new geographic areas across which they could speciate, or niche conservatism might augment isolation of populations that could then undergo allopatric speciation. Here, we used an <i>in silico</i>, “virtual world” simulation approach to address these questions. First, we created biological worlds on global scale in which different types of niche evolution could and could not occur, and then examined the resulting virtual species assemblages in terms of levels and patterns of diversity[CM1] . The outcome was clear: niche conservatism promotes biological diversification, whereas labile niches—whether adapting to conditions available or changing randomly—led to slower diversification rates. This outcome, in the context of burgeoning theoretical and empirical evidence for niche conservatism, provides a framework for understanding how Earth-life interactions produced such a diverse biota.<br>
DOI: 10.23728/b2share.fe41f237792b48f19d53db5258c1be96
title: Water chemistry_Lago Maggiore_Italy

description: The dataset contains monthly data, volume weighted average values for epilimnion (0-25 m) and hypolimnion (25-360 m) of Lake Maggiore, Italy (LTER site IT08-001-A) , for the period 1988-2018 and 2019-2021 for the following variables: water temperature, pH, conductivity, Ntot, NH4N, NO3N, Ptot, PO4P, cation and anion concentrations.
DOI: 10.6084/m9.figshare.24954597.v2
title: Data: Ecological niche conservatism spurs diversification in response to climate change

description: The datasets contain all the dataset and scripts used to generate the figures with the title "Ecological niche conservatism spurs diversification in response to climate change", which is going to be online on Nature Ecology & Evolution soon.AbstractA longstanding debate has focused on the relationship between evolutionary innovation in ecological niches of species and rates of biological diversification of those species. As such questions across broad scales of time and space, short-term experiments or scattered fossil evidences are not feasible, and contrasting opinions have emerged: niche innovation might allow species to explore and colonize new geographic areas across which they could speciate, or niche conservatism might augment isolation of populations that could then undergo allopatric speciation. Here, we used an <i>in silico</i>, “virtual world” simulation approach to address these questions. First, we created biological worlds on global scale in which different types of niche evolution could and could not occur, and then examined the resulting virtual species assemblages in terms of levels and patterns of diversity[CM1] . The outcome was clear: niche conservatism promotes biological diversification, whereas labile niches—whether adapting to conditions available or changing randomly—led to slower diversification rates. This outcome, in the context of burgeoning theoretical and empirical evidence for niche conservatism, provides a framework for understanding how Earth-life interactions produced such a diverse biota.<br>
DOI: 10.34740/kaggle/dsv/7353849
title: Contrastive Language Image Pretraining by openai
DOI: 10.5281/zenodo.10466105
title: Urban and Peri-Urban Agriculture as Green Infrastructure (UP-AGrI) in India - Primary Survey Dataset
title: Implications on Well-being and Sustainability in The Global South

description: The Global South is urbanising at an unprecedented rate: by 2050, urban areas are expected to increase by 2.5-3 billion people, 90% of whom will be in Asia and Africa. The reality of this ‘urban century’ is twofold. On the one hand, it is marked by growing inequality, increasing demands for urban services, and spreading of ‘mega-city problems’ such as congestion, shrinking green spaces, a proliferation of informal settlements, and increasing greenhouse gas emissions. On the other hand, urban areas are hailed as sites of tremendous opportunity, to improve well-being and enable sustainable development, by leapfrogging unsustainable trajectories. Green infrastructure or nature-based solutions are identified as one of the key ways of achieving the triple goals of sustainable development, human well-being, and climate action through fostering biodiversity, maintaining air quality, regulating water resources, providing food and nutrition, improving public health, and building psychosocial values that improve non-material well-being. Recognising the challenges of sustainable urbanisation and focussing on food growing as a key space to examine solutions, the Urban and peri-urban agriculture as green infrastructure (UP-AGrI) project, examines the implications of agriculture in and around cities on human well-being and urban sustainability. 

Between 2020 and 2021, this survey captured information related to urban agriculture practices, their benefits, and outcomes on sustainability and wellbeing from 441 households across various Indian cities. More specifically, the data obtained includes urban agriculture related information on gender, age, occupation, annual income, motivations, practices, barriers, perceptions, and recommendations. 

 

For more information, visit - https://upagri.wixsite.com/up-agri
DOI: 10.5281/zenodo.10466106
title: Urban and Peri-Urban Agriculture as Green Infrastructure (UP-AGrI) in India - Primary Survey Dataset
title: Implications on Well-being and Sustainability in The Global South

description: The Global South is urbanising at an unprecedented rate: by 2050, urban areas are expected to increase by 2.5-3 billion people, 90% of whom will be in Asia and Africa. The reality of this ‘urban century’ is twofold. On the one hand, it is marked by growing inequality, increasing demands for urban services, and spreading of ‘mega-city problems’ such as congestion, shrinking green spaces, a proliferation of informal settlements, and increasing greenhouse gas emissions. On the other hand, urban areas are hailed as sites of tremendous opportunity, to improve well-being and enable sustainable development, by leapfrogging unsustainable trajectories. Green infrastructure or nature-based solutions are identified as one of the key ways of achieving the triple goals of sustainable development, human well-being, and climate action through fostering biodiversity, maintaining air quality, regulating water resources, providing food and nutrition, improving public health, and building psychosocial values that improve non-material well-being. Recognising the challenges of sustainable urbanisation and focussing on food growing as a key space to examine solutions, the Urban and peri-urban agriculture as green infrastructure (UP-AGrI) project, examines the implications of agriculture in and around cities on human well-being and urban sustainability. 

Between 2020 and 2021, this survey captured information related to urban agriculture practices, their benefits, and outcomes on sustainability and wellbeing from 441 households across various Indian cities. More specifically, the data obtained includes urban agriculture related information on gender, age, occupation, annual income, motivations, practices, barriers, perceptions, and recommendations. 

 

For more information, visit - https://upagri.wixsite.com/up-agri
DOI: 10.6084/m9.figshare.24954669.v1
title: Visium dataset from Hochgerner et al 2023,

description: Data from visium spatial transcriptomics included in Hochgerner et al 2023 https://doi.org/10.1038/s41593-023-01469-3.
DOI: 10.6084/m9.figshare.24954669
title: Visium dataset from Hochgerner et al 2023,

description: Data from visium spatial transcriptomics included in Hochgerner et al 2023 https://doi.org/10.1038/s41593-023-01469-3.
DOI: 10.21942/uva.24949077.v3
title: Yet Another Classifier

description: Long Chipwhisperer measurement
DOI: 10.6084/m9.figshare.24954681
title: Data for "Impacts of State and Precision of Working Memory Representations on Attentional Capture"

description: Data for "Impacts of State and Precision of Working Memory Representations on Attentional Capture"
DOI: 10.6084/m9.figshare.24954681.v1
title: Data for "Impacts of State and Precision of Working Memory Representations on Attentional Capture"

description: Data for "Impacts of State and Precision of Working Memory Representations on Attentional Capture"
DOI: 10.6084/m9.figshare.24580657.v1
title: Phase transitions in 2D multistable mechanical metamaterials via collisions of soliton-like pulses (Matlab code for numerical simulations)

description: The code are used to simulate phase transitions in 2D multistable mechanical metamaterials consisting of rotating squares. Phase transitions induced via quasistatic loading can be simulated from the main code titled "Main_code_phase_transition_quasistatic", and phase transitions induced via collisions of soliton-like pulses can be simulated from the main code titled "Main_code_phase_transition_collisions".
DOI: 10.6084/m9.figshare.24580657
title: Phase transitions in 2D multistable mechanical metamaterials via collisions of soliton-like pulses (Matlab code for numerical simulations)

description: The code are used to simulate phase transitions in 2D multistable mechanical metamaterials consisting of rotating squares. Phase transitions induced via quasistatic loading can be simulated from the main code titled "Main_code_phase_transition_quasistatic", and phase transitions induced via collisions of soliton-like pulses can be simulated from the main code titled "Main_code_phase_transition_collisions".
DOI: 10.6084/m9.figshare.23575005.v1
title: PIEZO1 loss-of-function compound heterozygous mutations in the rare congenital human disorder Prune Belly Syndrome.

description: This is the raw experimental data, used for all figure preparation.
DOI: 10.6084/m9.figshare.23575005
title: PIEZO1 loss-of-function compound heterozygous mutations in the rare congenital human disorder Prune Belly Syndrome.

description: This is the raw experimental data, used for all figure preparation.
DOI: 10.6084/m9.figshare.23619006.v1
title: Species Interaction Dataset from Feederwatch

description: A dataset of interactions submitted by participatory scientists to the feederwatch program. The dataset includes the target and source species, as well as many associated variables for each of the species in the interaction.
DOI: 10.6084/m9.figshare.23619006
title: Species Interaction Dataset from Feederwatch

description: A dataset of interactions submitted by participatory scientists to the feederwatch program. The dataset includes the target and source species, as well as many associated variables for each of the species in the interaction.
DOI: 10.6084/m9.figshare.24249553.v1
title: Ton Motor Conformational Switch and Peptidoglycan Role in Bacterial Nutrient Uptake

description: NMR and AUC raw data
DOI: 10.6084/m9.figshare.24249553
title: Ton Motor Conformational Switch and Peptidoglycan Role in Bacterial Nutrient Uptake

description: NMR and AUC raw data
DOI: 10.34740/kaggle/dsv/7354358
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.23633877
title: DCTPep, the data of cancer therapy peptides

description: With the discovery of the therapeutic activity of peptides, they have emerged as a promising class of anti-cancer agents due to their specific targeting, low toxicity, and potential for high selectivity. In particular, as peptide-drug conjugates enter the clinical stage, the coupling of targeted peptides with traditional chemotherapy drugs or cytotoxic agents will become a new direction in cancer treatment. To facilitate the drug development of cancer therapy peptides, we have constructed DCTPep, a novel, open, and comprehensive database for cancer therapy peptides. In addition to traditional anticancer peptides (ACPs), the peptide library also includes peptides related to targeted cancer therapy. These data were collected manually from published research articles, patents, and other protein or peptide databases. Data on drug library include clinically investigated and/or approved peptide drugs related to cancer therapy, which mainly come from the portal websites of drug regulatory authorities and organisations in different countries and regions. DCTPep has a total of 6215 entries, we believe that DCTPep will contribute to the design and screening of future cancer therapy peptides.
DOI: 10.5519/qd.gp2to2jh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5746745 records)
DOI: 10.6084/m9.figshare.24954708
title: Supplimentary file 1.xlsx

description: VALUES OF PCA, NMDS AND CORRELATIOM ANALYSIS
DOI: 10.6084/m9.figshare.24954708.v1
title: Supplimentary file 1.xlsx

description: VALUES OF PCA, NMDS AND CORRELATIOM ANALYSIS
DOI: 10.5066/f7tx3cj7
title: Dissolved greenhouse gas concentrations and fluxes from Wetlands P7 and P8 of the Cottonwood Lake Study area, Stutsman County, North Dakota, 2015

description: A study was conducted to assess the relationships among carbon mineralization, sulfate reduction and greenhouse gas emissions in prairie pothole wetlands. These data are for dissolved methane and carbon dioxide concentrations and fluxes. Dissolved gas concentrations in the water column and fluxes to the atmosphere were estimated from April through November, 2015 for wetlands P7 and P8 of the Cottonwood Lake Study area, Stutsman County, North Dakota. Dissolved gases in the water column were collected every two weeks using a pumping-induced ebullition device. Gas flux samples were collected concurrently at the water-atmosphere interface using the vented static-chamber method. Gas concentrations of the gas samples were determined using gas chromatography. Air and water temperature and water depth also were collected concurrently. These data directly support the associated publication Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands which is referenced within the Metadata.
DOI: 10.6084/m9.figshare.23849076
title: Processed_data_for_Figure1

description: Canopy conductance sensitivity to moisture availability in CMI6 models unconstrained and constrained by observational data.
DOI: 10.6084/m9.figshare.23849079
title: Processed_data_for_Figure2

description: Shapley values generated from RF models for Figure 2