cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18032457
title: LINF_300027200

description: RNA recognition motif (RRM)-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.547arv
title: Occurrence Download

description: A dataset containing 57498 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton pusillus L."
 ]
}

 The dataset includes 57498 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238837-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7aaec
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spermophilus citellus (Linnaeus, 1766)",
 "Year 1998-2022"
 ]
}

 The dataset includes 31 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175484-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayx8nz
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helichrysum elegantissimum DC."
 ]
}

 The dataset includes 44 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238872-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4mn5k
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picrorhiza scrophulariiflora Pennell",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199380-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.393ske
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 "TaxonKey is one of (Euphorbia helioscopia L.)"
 ]
}

 The dataset includes 650 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006757-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhv5vc
title: Occurrence Download

description: A dataset containing 3731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Swiss National Amphibian Databank",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana dalmatina Bonaparte, 1840"
 ]
}

 The dataset includes 3731 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238893-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxwtj8
title: Occurrence Download

description: A dataset containing 1215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syzygium nervosum DC."
 ]
}

 The dataset includes 1215 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175500-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfv26p
title: Occurrence Download

description: A dataset containing 326789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilex aquifolium L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year 1990-2020"
 ]
}

 The dataset includes 326789 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252321-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14013525
title: DNP enhanced solid-state NMR – A powerful tool to address the surface functionalization of cellulose/paper derived materials

description: Raw data of the publication.

Abstract:

This concept summarizes recent advances in development and application of DNP enhanced multinuclear solid-state NMR to study the molecular structure and surface functionalization of cellulose and paper-based materials. Moreover, a novel application is presented where DNP enhanced 13C and 15N solid-state NMR is used to identify structure moieties formed by cross-linking of hydroxypropyl cellulose. Given these two aspects of this concept-type of article, we thus combine both, a review on recent findings already published and unpublished recent data that complement the existing knowledge in the field of characterization of functional lignocellulosic materials by DNP enhanced solid-state NMR.
DOI: 10.5281/zenodo.14013526
title: DNP enhanced solid-state NMR – A powerful tool to address the surface functionalization of cellulose/paper derived materials

description: Raw data of the publication.

Abstract:

This concept summarizes recent advances in development and application of DNP enhanced multinuclear solid-state NMR to study the molecular structure and surface functionalization of cellulose and paper-based materials. Moreover, a novel application is presented where DNP enhanced 13C and 15N solid-state NMR is used to identify structure moieties formed by cross-linking of hydroxypropyl cellulose. Given these two aspects of this concept-type of article, we thus combine both, a review on recent findings already published and unpublished recent data that complement the existing knowledge in the field of characterization of functional lignocellulosic materials by DNP enhanced solid-state NMR.
DOI: 10.17632/7n3j579dkz.1
title: Calculation of Ecological flow in Sub-Basins of the Huangshui River Basin Based on the SWAT Model

description: The data in this database encompass digital elevation data, soil data, land use data, meteorological data, and runoff data from hydrological stations within the Huangshui River Basin. Using these data, readers can establish SWAT (Soil and Water Assessment Tool) projects related to the Huangshui River Basin, clearly analyze changes in runoff within the basin, and also utilize these data for conducting other research endeavors.
DOI: 10.15468/dl.89qxg2
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.25583 44.99690,16.54554 44.99690,16.54554 47.51171,10.25583 47.51171,10.25583 44.99690))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis aureus Linnaeus, 1758"
 ]
}

 The dataset includes 159 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012297-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c7fcc3yryj.1
title: REVIVA Tool - H Block. Energy optimization of retrofit strategies in housing blocks

description: -- DESCRIPTION --

The interactive tool REVIVA is the result of the research work developed in the R&D&I project Energy Retrofitting of the Andalusian social housing. Optimization of passive solutions in residential stocks with a high vulnerability index (US.22-06) (https://institucional.us.es/reviva/), funded by the Regional Government of Junta de Andalucía (Consejería de Fomento, Articulación del Territorio y Vivienda).

It is an open-access tool, which allows the interactive visualization of the project results related to the energy optimization of the retrofit strategies of the existing public social housing stock in southern Spain. This tool aims to serve as a starting point for decision-making in the renovation process of this building stock, providing decisive information on the thermal performance of different packages of combined retrofit strategies focused on the improvement of thermal comfort, contemplating different levels of intervention and associated economic investment. Specific information on the H-block buildings typology is included in the tool.

The tool is shown as an interactive parallel axis plot, developed with the HiPlot - High Dimensional Interactive Plotting visualization - application (available online for download at https://pypi.org/project/hiplot/ and described in more detail at https://facebookresearch.github.io/hiplot/index.html) and Python v3.6 programming language. 

-- INSTRUCTIONS --
To open the REVIVA interative tool for the H-Block typology you must click on the *.html file attached, which may be launched in any internet browser. A more detail description on the operation and management of the interactive tool is provided in the Tool User Manual.pdf document, as well as a video tutorial.
DOI: 10.17632/v9jyb83mzj.1
title: Mantle eclogites evidence of subducted carbonate sediments in Earth’s deep carbon cycle

description: It includes Text S1, Table S1-3, and Figure S1. Text S1 is the petrological descriptions of Obn high-MgO eclogites. Table S1 is the trace elements data of standards analyzed in this study. Table S2 is oxygen isotope data of samples and standards analyzed in this study. Table S3 is global dataset of mantle eclogite xenoliths from around the world. Figure S1 a-c is frequency histogram and probability density function of SiO2 (a), CaO (b), and Al2O3 (c) of eclogites.
DOI: 10.17632/2kswncd4m3.1
title: BASE DE DATOS EVALUACION MULTICRITERIO Y MULTIMETODO

description: Los archivos que se almacenan en esta base de datos, corresponden a los datos, al procesamiento y a los resultados que se encontraron en la investigacion realizada.
DOI: 10.6084/m9.figshare.27337284
title: Preprocessed depmap data

description: This MuData object contains preprocessed data from the DepMap project. It contains 12 data modalities and the obs slot contains metadata of the cell lines.<br>References:Gonçalves, E. et al. Pan-cancer proteomic map of 949 human cell lines. Cancer Cell 40, 835–849.e8 (2022).Boehm, J. S. et al. Cancer research needs a better map. Nature 589, 514–516 (2021).Pacini, C. et al. Integrated cross-study datasets of genetic dependencies in cancer. Nat. Commun. 12, 1661 (2021).Garcia-Alonso, L. et al. Transcription factor activities enhance markers of drug sensitivity in cancer. Cancer Res. 78, 769–780 (2018).Iorio, F. et al. A landscape of pharmacogenomic interactions in cancer. Cell 166, 740–754 (2016).
DOI: 10.6084/m9.figshare.27337284.v1
title: Preprocessed depmap data

description: This MuData object contains preprocessed data from the DepMap project. It contains 12 data modalities and the obs slot contains metadata of the cell lines.<br>References:Gonçalves, E. et al. Pan-cancer proteomic map of 949 human cell lines. Cancer Cell 40, 835–849.e8 (2022).Boehm, J. S. et al. Cancer research needs a better map. Nature 589, 514–516 (2021).Pacini, C. et al. Integrated cross-study datasets of genetic dependencies in cancer. Nat. Commun. 12, 1661 (2021).Garcia-Alonso, L. et al. Transcription factor activities enhance markers of drug sensitivity in cancer. Cancer Res. 78, 769–780 (2018).Iorio, F. et al. A landscape of pharmacogenomic interactions in cancer. Cell 166, 740–754 (2016).
DOI: 10.17632/kmp8hmf5ws.1
title: long covid

description: The dataset of long covid for analysis in Thailand.
DOI: 10.17632/rm4f49zj9k.1
title: zsy

description: Research on the underling mechanism and spatial spillover effect of the digital economy on common prosperity
DOI: 10.17632/g9drpbstf2.1
title: Brand Recognition, Customer Loyalty, Expansion Model

description: 1. Brand Recognition Model
The Brand Recognition Model evaluates the awareness levels of a brand across different geographical scopes and its marketing reach. The data comprises:
Awareness Level Local: Simulated using a Beta distribution with parameters (2, 5), this variable represents local brand awareness as a percentage, scaled to a range of 0 to 100. The skewed distribution suggests that while some individuals have high awareness, many have lower levels.
Awareness Level Regional: This variable is generated using a Beta distribution (5, 2), reflecting a higher average awareness level compared to local awareness. It indicates that regional marketing efforts may be more effective.
Awareness Level National: Similar to the previous variables, this is derived from a Beta distribution (3, 7), indicating a tendency towards lower national awareness levels.
Marketing Reach Online: This variable follows a normal distribution with a mean of 5000 and a standard deviation of 1000, representing the online reach of marketing efforts. This reflects typical variations in online audience engagement.
Marketing Reach Offline: Generated from a log-normal distribution (mean=8, std=0.5), this variable captures the offline marketing reach, emphasizing that most values will cluster around the mean with a long tail towards higher values.
Brand Recall: This percentage is drawn from a uniform distribution between 30 and 80, indicating variability in how well customers remember the brand.
The summary statistics for this model provide insights into central tendencies and dispersions for each variable, facilitating an understanding of brand recognition dynamics.
2. Customer Loyalty Model
The Customer Loyalty Model focuses on key metrics that indicate customer retention and satisfaction:
Customer Retention Rate (CRR): This percentage is generated using a Beta distribution (2, 5), reflecting the likelihood of customers continuing their relationship with the brand. The resulting values suggest that while some customers remain loyal, there are challenges in retaining others.
Net Promoter Score (NPS): Simulated using a Poisson distribution with an average score of 7, this variable measures customer willingness to recommend the brand to others. The NPS is crucial for assessing overall customer satisfaction and loyalty.
Customer Lifetime Value (CLV): This metric is derived from a log-normal distribution (mean=9, std=0.3), indicating the potential revenue generated from customers over their lifetime. The skew towards higher values reflects the presence of high-value customers.
Summary statistics for this model will reveal insights into customer loyalty metrics and highlight areas for improvement in retention strategies.
3. Expansion Potential Model
The Expansion Potential Model assesses factors influencing a company's ability to grow and adapt.
DOI: 10.5281/zenodo.14013506
title: 【outputs_best_number_tokens_to_span_vectors_large_scales】/best_number_tokens_log_part_19 (3), only two 8B LLMs, 30 (span_vectors) = 30 files

description: Part 19 (3)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

30 (span_vectors) = 30 files
DOI: 10.5281/zenodo.14013507
title: 【outputs_best_number_tokens_to_span_vectors_large_scales】/best_number_tokens_log_part_19 (3), only two 8B LLMs, 30 (span_vectors) = 30 files

description: Part 19 (3)  

only two 8B LLMs,  

only valid results (both MP p value and CI),

all permutation controls,

all seeds,

all linguistic spans,

all 5 tasks, 

30 (span_vectors) = 30 files
DOI: 10.5518/779
title: Data to Support Photoconductive Arrays on Insulating Substrates for High-Field Terahertz Generation

description: The data included in this repository supports our work on the design, fabrication and characterisation of large-area photoconductive THz array structures, consisting of a thin LT-GaAs active region transferred to an insulating substrate using a wafer-scale bonding process. The electrically insulating, transparent substrate reduces the parasitic currents in the devices, allowing peak THz-fields as high as 140 kV cm-1 to be generated over a bandwidth &gt;5 THz. These results are achieved using lower pulse energies than demanded by conventional photoconductive arrays and other popular methods of generating high-field THz radiation. Two device sizes are fully characterised and the emission properties are compared to generation by optical rectification in ZnTe. The device can be operated in an optically saturated regime in order to suppress laser noise.
DOI: 10.48597/9p59-dqpz
title: Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/qkck-uytq
title: Sulphate_corrected at Rickleå

description: Measurement of Sulphate_corrected at Rickleå
DOI: 10.48597/9cwz-zv8p
title: Magnesium at Rickleå

description: Measurement of Magnesium at Rickleå
DOI: 10.48597/6gk4-zbkn
title: Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/py7f-fedu
title: Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/7ave-5z97
title: Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/8fdy-g9f7
title: Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/mnfp-4g7d
title: Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/2nyf-vfy4
title: Conductivity at Rickleå

description: Measurement of Conductivity at Rickleå
DOI: 10.48597/72f4-kzpw
title: Precipitation_amount at Rickleå

description: Measurement of Precipitation_amount at Rickleå
DOI: 10.48597/8za6-nw2z
title: Sulphate_total at Rickleå

description: Measurement of Sulphate_total at Rickleå
DOI: 10.48597/9xdd-76a7
title: pH at Rickleå

description: Measurement of pH at Rickleå
DOI: 10.48597/9xfz-v97y
title: Magnesium at Rickleå

description: Measurement of Magnesium at Rickleå
DOI: 10.48597/e83h-rncc
title: Chloride at Rickleå

description: Measurement of Chloride at Rickleå
DOI: 10.48597/ej5v-wvtr
title: Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/mv2y-ajh8
title: Sodium at Rickleå

description: Measurement of Sodium at Rickleå
DOI: 10.48597/pewf-ke3q
title: Calcium at Rickleå

description: Measurement of Calcium at Rickleå
DOI: 10.48597/u4su-3bac
title: Nitrate at Rickleå

description: Measurement of Nitrate at Rickleå
DOI: 10.48597/gzvk-m5pd
title: Sulphate_corrected at Rickleå

description: Measurement of Sulphate_corrected at Rickleå
DOI: 10.48597/vndk-n6k9
title: Ammonium at Rickleå

description: Measurement of Ammonium at Rickleå
DOI: 10.48597/2mt8-6c7d
title: Ammonium at Rickleå

description: Measurement of Ammonium at Rickleå
DOI: 10.48597/5979-5hkr
title: Calcium at Rickleå

description: Measurement of Calcium at Rickleå
DOI: 10.48597/6bxa-fkxp
title: Nitrate at Rickleå

description: Measurement of Nitrate at Rickleå
DOI: 10.48597/9avv-mcsp
title: Sodium at Rickleå

description: Measurement of Sodium at Rickleå
DOI: 10.48597/9w9r-5j72
title: Chloride at Rickleå

description: Measurement of Chloride at Rickleå
DOI: 10.48597/ahrg-27z9
title: Conductivity at Rickleå

description: Measurement of Conductivity at Rickleå
DOI: 10.48597/anpw-7ykw
title: Precipitation_amount at Rickleå

description: Measurement of Precipitation_amount at Rickleå
DOI: 10.48597/bqbu-5nrq
title: pH at Rickleå

description: Measurement of pH at Rickleå
DOI: 10.48597/hwud-up2r
title: Sulphate_total at Rickleå

description: Measurement of Sulphate_total at Rickleå
DOI: 10.48597/jzp5-crvp
title: Magnesium at Rickleå

description: Measurement of Magnesium at Rickleå
DOI: 10.48597/uz9p-dy67
title: Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/2nsk-3dbn
title: Sulphate_corrected at Rickleå

description: Measurement of Sulphate_corrected at Rickleå
DOI: 10.48597/6ep2-serk
title: Measurement of Sulphate_corrected at Rickleå

description: Measurement of Sulphate_corrected at Rickleå
DOI: 10.48597/c5eh-8gcc
title: Measurement of Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/csu6-kd2d
title: Measurement of Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/czvc-sgdh
title: Measurement of Magnesium at Rickleå

description: Measurement of Magnesium at Rickleå
DOI: 10.48597/bgxm-st5g
title: Measurement of Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/pk85-skch
title: Measurement of Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/pg8x-uyyg
title: Measurement of Inorganics in precipitation at Rickleå

description: Measurement of Inorganics in precipitation at Rickleå
DOI: 10.48597/4fq7-94fc
title: Measurement of Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/e93f-cbxg
title: Measurement of Precipitation_amount at Rickleå

description: Measurement of Precipitation_amount at Rickleå
DOI: 10.48597/ffbe-3d9g
title: Measurement of Calcium at Rickleå

description: Measurement of Calcium at Rickleå
DOI: 10.48597/gnu2-utx6
title: Measurement of Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/j2ef-8akq
title: Measurement of Sodium at Rickleå

description: Measurement of Sodium at Rickleå
DOI: 10.48597/nnw4-xm49
title: Measurement of pH at Rickleå

description: Measurement of pH at Rickleå
DOI: 10.48597/h3vn-zatt
title: Measurement of Conductivity at Rickleå

description: Measurement of Conductivity at Rickleå
DOI: 10.48597/ubq5-8ryx
title: Measurement of Ammonium at Rickleå

description: Measurement of Ammonium at Rickleå
DOI: 10.48597/mpr7-uusq
title: Measurement of Nitrate at Rickleå

description: Measurement of Nitrate at Rickleå
DOI: 10.48597/qvbn-nppj
title: Measurement of Chloride at Rickleå

description: Measurement of Chloride at Rickleå
DOI: 10.48597/sykg-rzbd
title: Measurement of Magnesium at Rickleå

description: Measurement of Magnesium at Rickleå
DOI: 10.48597/zbjd-e4rr
title: Measurement of Sulphate_total at Rickleå

description: Measurement of Sulphate_total at Rickleå
DOI: 10.48597/6sd5-nz6p
title: Measurement of Sulphate_corrected at Rickleå

description: Measurement of Sulphate_corrected at Rickleå
DOI: 10.48597/5c9j-uzra
title: Measurement of Sodium at Rickleå

description: Measurement of Sodium at Rickleå
DOI: 10.48597/5eps-3cae
title: Measurement of Calcium at Rickleå

description: Measurement of Calcium at Rickleå
DOI: 10.48597/7mbr-cy4j
title: Measurement of Chloride at Rickleå

description: Measurement of Chloride at Rickleå
DOI: 10.48597/b4kw-zh24
title: Measurement of Potassium at Rickleå

description: Measurement of Potassium at Rickleå
DOI: 10.48597/dztz-aqdm
title: Measurement of Nitrate at Rickleå

description: Measurement of Nitrate at Rickleå
DOI: 10.48597/gcya-gpfy
title: Measurement of Sulphate_total at Rickleå

description: Measurement of Sulphate_total at Rickleå
DOI: 10.48597/gz7f-768j
title: Measurement of pH at Rickleå

description: Measurement of pH at Rickleå
DOI: 10.48597/pvtk-w8km
title: Measurement of Conductivity at Rickleå

description: Measurement of Conductivity at Rickleå