cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30425074
title: Interpreting climate performance indices: implications for equitable and effective policy

description: Climate performance indices play a crucial role in evaluating countries’ efforts and advancing global environmental governance. This study critically examines disparities among prominent climate performance indices, including the Environmental Performance Index (EPI), Climate Change Performance Index (CCPI), and Climate Action Tracker (CAT). Our analysis reveals significant divergences in country rankings, particularly between ‘developed’ and ‘least developed’ nations, underscoring how subjective methodological choices impact indices’ results and their interpretation. We develop an analytic tool, called EPI-equity, to demonstrate how integrating equity principles can substantially alter performance assessments. We furthermore propose a novel conceptual framework to classify indices based on the choice of methodological framework and embedded normative choices, highlighting how these can shape the interpretation of performance. These results allow the contextualization of outcomes of climate performance indices and the degree to which they concur with one another. Thus, this framework helps translate methodological choices into a conceptual understanding of what an index truly measures. We propose that explicitly articulating the normative choices embodied by performance indices can enhance transparency, guide developers in aligning methodological choices with intended interpretations, and equip users with a clearer understanding of the results. Our analysis highlights the importance of employing multiple indices that encompass a range of normative choices for a comprehensive evaluation of countries’ climate performance. This adaptable framework provides a structured approach to guide the selection of indices spanning a broad spectrum of viewpoints, and, thereby, mitigates the likelihood of conflicts arising from fragmented worldviews on complex socio-environmental issues. Climate performance indices can yield contradictory assessments due to differing underlying approach of normative choices. No single index can capture all dimensions of climate performance. Policymakers should use multiple indices to guide decision-making, ensuring a comprehensive evaluation of national climate performance. Policymakers benefit when index developers explicitly articulate both the methodological framework and normative preferences embedded in their normative frameworks. This transparency helps mitigate conflicts such as those seen between the CCPI and EPI developers and the Australian and Indian governments, respectively.
DOI: 10.6084/m9.figshare.30425074.v1
title: Interpreting climate performance indices: implications for equitable and effective policy

description: Climate performance indices play a crucial role in evaluating countries’ efforts and advancing global environmental governance. This study critically examines disparities among prominent climate performance indices, including the Environmental Performance Index (EPI), Climate Change Performance Index (CCPI), and Climate Action Tracker (CAT). Our analysis reveals significant divergences in country rankings, particularly between ‘developed’ and ‘least developed’ nations, underscoring how subjective methodological choices impact indices’ results and their interpretation. We develop an analytic tool, called EPI-equity, to demonstrate how integrating equity principles can substantially alter performance assessments. We furthermore propose a novel conceptual framework to classify indices based on the choice of methodological framework and embedded normative choices, highlighting how these can shape the interpretation of performance. These results allow the contextualization of outcomes of climate performance indices and the degree to which they concur with one another. Thus, this framework helps translate methodological choices into a conceptual understanding of what an index truly measures. We propose that explicitly articulating the normative choices embodied by performance indices can enhance transparency, guide developers in aligning methodological choices with intended interpretations, and equip users with a clearer understanding of the results. Our analysis highlights the importance of employing multiple indices that encompass a range of normative choices for a comprehensive evaluation of countries’ climate performance. This adaptable framework provides a structured approach to guide the selection of indices spanning a broad spectrum of viewpoints, and, thereby, mitigates the likelihood of conflicts arising from fragmented worldviews on complex socio-environmental issues. Climate performance indices can yield contradictory assessments due to differing underlying approach of normative choices. No single index can capture all dimensions of climate performance. Policymakers should use multiple indices to guide decision-making, ensuring a comprehensive evaluation of national climate performance. Policymakers benefit when index developers explicitly articulate both the methodological framework and normative preferences embedded in their normative frameworks. This transparency helps mitigate conflicts such as those seen between the CCPI and EPI developers and the Australian and Indian governments, respectively.
DOI: 10.7807/microm:einwohner:suf:v6:1
title: Sozioökonomische Daten auf Rasterebene (SUF 6.1). Einwohner
title: Socio-economic data on grid level (SUF 6.1). Residents

description: Die Einwohnerstruktur weist die Absolutzahl der Einwohner pro Gebietsebene aus
 (microm 2016, S. 42). Komplementär zu diesem Datensatz liegt auch die Alters- und
 Geschlechtsstruktur der Einwohner als separater Datensatz vor und ist unter der DOI
 10.7807/microm:einwGeAl:suf:V6:1 erhältlich.
description: The residents structure gives the absolute number of inhabitants in a geo-graphic area (microm 2016, p. 42). In addition, this information is also available by age and sex as a deparate dataset which can be found under the DOI 10.7807/microm:einwGeAl:suf:V6:1.
description: RWI-GEO-GRID
description: RWI-GEO-GRID
DOI: 10.15468/dl.4y58tp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichomimastra",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051773-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.und7m2
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Picea rubens",
 "Year 1910-1955"
 ]
}

 The dataset includes 522 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051774-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2sfym
title: Occurrence Download

description: A dataset containing 1118885 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Dominican Republic"
 ]
}

 The dataset includes 1118885 records from 1012 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051744-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj99rx
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Chanos chanos"
 ]
}

 The dataset includes 908 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058526-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/74390
title: SNPs for thornback ray Raja clavata used for identifying sex-linked SNPs and carrying out sex assignment

description: We genotyped 1680 thornback ray Raja clavata sampled in the Bay of Biscay using a DNA chip described in Le Cam et al. (2019). After quality control 4604 SNPs were retained for identifying potential sex-linked SNPs using three methods: i) identification of excess of heterozygotes in one sex, ii) FST outlier analysis between the two sexes and iii) neuronal net modelling. Genotype coding: 0 homozygous for major allele, 1 heterozygous, 2 homozygous for minor allele. Flanking DNA sequences of SNPs identified with methods i) and ii) are also provided.
DOI: 10.17882/81075
title: Showcasing EcoDiet, a novel hierarchical model to combine stomach, biotracer and literature data into diet matrix estimation: simulated and in situ trophic data

description: Quantifying trophic interactions is a critical path to understanding and forecasting ecosystem functioning, but fitting trophic models to field data remains challenging. It requires flexible statistical tools to combine different sources of information from the literature and fieldwork samples. In an article published in Ecological Applications, we present EcoDiet, a hierarchical Bayesian modeling framework to simultaneously estimate food-web topology and diet composition of all consumers in the food web, by combining (i) a priori knowledge from the literature on both food-web topology and diet proportions; (ii) stomach content analyses (SCA), with frequencies of prey occurrence used as the primary source of data to update the prior knowledge on the topological food-web structure; (iii) and biotracers data, notably stable isotope analyses (SIA), through a mixing model. Inferences are derived in a Bayesian probabilistic rationale that quantifies the uncertainty around both the topological structure of the food web and the diet proportions. The present SEANOE dataset makes available the trophic and literature data to which EcoDiet was applied in this publication to assess its performance and demonstrate its ability to deal with real case-studies. On the one hand, it includes the diet matrix and the associated topology matrix describing a simplified but realistic food web, and the SCA and SIA data simulated from these matrices. On the other hand, it displays real in situ SCA and SIA data for most trophic groups of the Celtic Sea food web (collected during EVHOE surveys, EATME project) and a priori topology and diet matrices issued of a bibliographic search (with associated scores characterizing the reliability of the literature information). This SEANOE dataset allows to reproduce the runs of the EcoDiet model conducted as part of the Ecological Applications article.
DOI: 10.17882/81149
title: TrophicCS: Spatialized trophic data of the Celtic Sea continental shelf food web

description: Understanding the dynamics of species interactions for food (prey-predator, competition for resources) and the functioning of trophic networks (dependence on trophic pathways, food chain flows, etc.) has become a thriving ecological research field in recent decades. This empirical knowledge is then used to develop population and ecosystem modelling approaches to support ecosystem-based management. The TrophicCS data set offers spatialized trophic information on a large spatial scale (the entire Celtic Sea continental shelf and upper slope) for a wide range of species. It combines ingested prey (gut content analysis) and a more integrated indicator of food sources (stable isotope analysis). A total of 1337 samples of large epifaunal invertebrates (bivalve mollusks and decapod crustaceans), zooplankton, fish and cephalopods, corresponding to 114 species, were collected and analyzed for stable isotope analysis of their carbon and nitrogen content. Sample size varied between taxa (from 1 to 52), with an average of 11.72 individuals sampled per species, and water depths ranged from 57 to 516 m. The gut contents of 1026 fish belonging to ten commercially important species: black anglerfish (Lophius budegassa), white anglerfish (Lophius piscatorius), blue whiting (Micromesistius poutassou), cod (Gadus morhua), haddock (Melanogrammus aeglefinus), hake (Merluccius merluccius), megrim (Lepidorhombus whiffiagonis), plaice (Pleuronectes platessa), sole (Solea solea) and whiting (Merlangius merlangus) were analyzed. The stomach content data set contains the occurrence of prey in stomach, identified to the lowest taxonomic level possible. To consider potential ontogenetic diet changes, a large size range was sampled. The TrophicCS data set was used to improve understanding of trophic relationships and ecosystem functioning in the Celtic Sea. When you use the data in your publication, we request that you cite this data paper. If you use the present data set (TrophicCS) for the majority of the data analyzed in your study, you may wish to consider inviting at least one author of the core team of this data paper to become a collaborator /coauthor of your paper.
DOI: 10.17882/90452
title: Organohalogen contaminants in meso- and bathypelagic organisms in the Bay of Biscay (northeast Atlantic)

description: The data file present detailed individual congener/compound concentrations for a large variety of hydrophobic organic contaminants including polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), legacy and alternative brominated flame retardants (BFRs) and per- and polyfluoroalkyl substances (PFASs) in meso- and bathypelagic organisms collected in the Bay of Biscay, northeast Atlantic, in October 2017. The studied species include 3 crustacean species (Pasiphaea sivado, Sergia robusta, Ephyrina figueirai) and 11 fish species (Xenodermichthys copei, Searsia koefoedi, Myctophum punctatum, Notoscopelus kroeyeri, Lampanyctus crocodilus, Argyropelecus olfersii, Arctozenus risso, Stomias boa, Serrivomer beanii, Chauliodus sloani, Aphanopus carbo). The organisms were collected at night during one single trawling using a 25 m vertical opening pelagic trawl in the deep scattering layer (ca 800 m depth in the water column; 1330 m bottom floor). This dataset was used in the article entitled "A large diversity of organohalogen contaminants reach the meso- and bathypelagic organisms in the Bay of Biscay (northeast Atlantic)" published in Marine Pollution Bulletin.
DOI: 10.17882/90930
title: Catch data of Rajiformes from bottom trawl surveys in the Bay of Biscay 1973-2019

description: A consistent dataset of bottom trawl survey data spanning 47 years in the Bay of Biscay was assembled. The dataset includes data from the current EVHOE survey from 1987 to 2019 and two previous surveys carried out in 1973 and 1976. The recent EVHOE time-series from 1997 is also available from DATRAS (https://www.ices.dk/data/data-portals/Pages/DATRAS.aspx). The catch in numbers and weight (kg) per haul of all Rajiformes species caught in these surveys is provided. Haul information is provided for all hauls, including those with no catch of Rajiformes. Areas of the sampling strata of the survey and spatial polygones of these strata are provided in separate files.
DOI: 10.15468/dl.3v3tnx
title: Occurrence Download

description: A dataset containing 70142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Genista umbellata (L'Hér.) Poir.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70142 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018549-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9m57y
title: Occurrence Download

description: A dataset containing 192717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Plantago lanceolata L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 192717 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018548-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.924689
title: Physical oceanography from mooring KPO_0611

description: The processing was done as described in Bunge et al. (2008) and in Bourlès Bernard et al (2020): French PIRATA cruises: MOORING ADCP data. SEANOE. https://doi.org/10.17882/51557
description: instrument = Label:kpo_0611_01 File:kpo_0611_instr_01.nc Type:Teledyne RDI Workhorse 300 SN:508instrument = Label:kpo_0611_02 File:kpo_0611_instr_02.nc Type:Ixblue Suber/MORS/Oceano MC3x0 SN:620instrument = Label:kpo_0611_03 File:kpo_0611_instr_03.nc Type:Aanderaa RCM 8 SN:10922instrument = Label:kpo_0611_05 File:kpo_0611_instr_05.nc Type:Aanderaa RCM 8 SN:10923instrument = Label:kpo_0611_06 File:kpo_0611_instr_06.nc Type:Ixblue Suber/MORS/Oceano MC3x0 SN:784instrument = Label:kpo_0611_07 File:kpo_0611_instr_07.nc Type:Aanderaa RCM 8 SN:10924instrument = Label:kpo_0611_08 File:kpo_0611_instr_08.nc Type:Ixblue Suber/MORS/Oceano MC3x0 SN:787comment = flag_meaningscomment = 0:unknowncomment = 1:good_data
DOI: 10.17882/56456
title: pirata deployment (EGO glider : bonpland) (Atlantic Ocean - Gulf of Guinea)

description: The observations of bonpland glider on pirata deployment (Atlantic Ocean - Gulf of Guinea) are distributed in 4 files: - EGO NetCDF time-series (data, metadata, derived sea water current) - NetCDF profiles extracted from the above time-series - Raw data - JSON metadata used by the decoder The following parameters are provided : - Practical salinity - Sea temperature in-situ ITS-90 scale - Electrical conductivity - Sea water pressure, equals 0 at sea-level
DOI: 10.17882/83682
title: Carbon parameters in the Eastern Tropical Atlantic in 2019

description: Seawater samples were taken for alkalinity and inorganic carbon analyses during the PIRATA FR-29 cruise in the Eastern Tropical Atlantic in 2019
DOI: 10.17882/83683
title: Underway fCO2 in the Eastern Tropical Atlantic in 2019

description: Underway fCO2 was measured during the PIRATA FR-29 cruise in the Eastern Tropical Atlantic in 2019.
DOI: 10.17882/90742
title: Inorganic carbon and alkalinity in the Eastern tropical Atlantic measured during the PIRATA FR-30 cruise in February-March 2020

description: Inorganic carbon and alkalinity were measured during the PIRATA FR-30 cruise in February-March 2020 in the Eastern tropical Atlantic.
DOI: 10.17882/92386
title: Inorganic carbon and alkalinity in the Eastern tropical Atlantic in 2022

description: Seawater samples (500 mL) were taken during the PIRATA FR-32 cruise to measure surface inorganic carbon and alkalinity. The analyses were realised by potentiometric titration using a closed-cell at the SNAPO-CO2, LOCEAN in Paris.
DOI: 10.25549/inscriptifact-ouc111104627
title: Relief with Three Registers: Inscription, Temple near Mountains and Stream, Room 7, OI A11255

description: [Text Description:] Two figures and ionic temple standing near wooded mountain and stream. Roof of building supported by columns w/volute capitals. ❧ [Text or Publication Number Note:] OI A11255 ❧ [Excavation Description:] Found during Oriental Institute's 1928-1935 excavations at the site of ancient Dur-Sharrukin (Fort Sargon), modern Khorsabad, Iraq ❧ [Medium:] Stone ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Stone bas relief, of gypsum. Two registers, separated by inscription. Joins A11254 and A11256.
DOI: 10.15468/dl.fey8qt
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-85.7823094999999967 38.2066671999999983, -85.7823094999999967 38.2101183600000027, -85.7823094999999967 38.2133538100000010, -85.7823094999999967 38.2170206699999966, -85.7823094999999967 38.2202561300000028, -85.7823094999999967 38.2250014600000014, -85.7823094999999967 38.2299624999999992, -85.7792943500000007 38.2299624999999992, -85.7745562500000034 38.2299624999999992, -85.7685259499999972 38.2299624999999992, -85.7652954299999948 38.2299624999999992, -85.7607727000000040 38.2299624999999992, -85.7607727000000040 38.2256485600000033, -85.7607727000000040 38.2219817000000006, -85.7607727000000040 38.2191776399999981, -85.7607727000000040 38.2142166000000003, -85.7607727000000040 38.2109811400000012, -85.7607727000000040 38.2066671999999983, -85.7659415300000063 38.2066671999999983, -85.7726179400000035 38.2066671999999983, -85.7767099299999956 38.2066671999999983, -85.7823094999999967 38.2066671999999983))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 238 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099882-210914110416597/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.25980184
title: All files

description: Identification of tumor neoantigens is indispensable for the development of cancer immunotherapies. However, we are still lacking knowledge about the potential neoantigens derived from sequences outside protein-coding regions. Here, we comprehensively characterized the immunopeptidome landscape by integrating multi-omics data in acute myeloid leukemia (AML). Both canonical and non-canonical MHC-associated peptides (MAPs) in AML were identified. We found that the quality and characteristics of ncMAPs are comparable or superior to cMAPs, indicating ncMAPs are indispensable sources for tumor neoantigens. We further proposed a computational framework to prioritize the neoantigens by integrating additional transcriptome and immunopeptidome in normal tissues. Notably, 6 of prioritized 13 neoantigens were derived from ncMAPs. The expressions of corresponding source genes were highly related to infiltrations of immune cells. Finally, a risk model was developed, which exhibited good performance for clinical prognosis in AML. Our findings expand potential cancer immunotherapy targets and provide in-depth insights into AML treatment, laying a new foundation for precision therapies in AML.