cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.mifntb
title: Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

description: We analyze the clustering of galaxies in the first public data release of the Hyper Suprime-Cam Subaru Strategic Program. Despite the relatively small footprints of the observed fields, the data are an excellent proxy for the very deep photometric datasets that will be acquired by the Large Synoptic Survey Telescope, and are therefore an ideal test bed for the analysis methods being implemented by the LSST Dark Energy Science Collaboration. We select a magnitude limited sample with i &lt; 24.5 and analyze it in four tomographic redshift bins covering the range 0.15 . z . 1.5. We carry out a Fourier-space analysis of the two-point clustering of this sample, including all auto- and cross-correlations between bins. We demonstrate the use of map-level deprojection methods to account for non-physical fluctuations in the galaxy number density caused by observational systematics. Through a halo occupation distribution analysis, we place constraints on the characteristic halo masses of this sample as a function of redshift, finding a good fit up to scales kmax = 1 Mpc−1 , including both auto- and cross-correlations. Our results show monotonically decreasing average halo masses with increasing redshift, which can be interpreted in terms of the drop-out of red galaxies at high redshifts for a flux-limited sample, consistent with previous analyses. In terms of photometric redshift systematics, we show that additional care is needed in order to marginalize over uncertainties in the redshift distribution in galaxy clustering, even for samples of this small size, and that these uncertainties can be significantly constrained by including cross-bin correlations. We are able to make a ∼ 3σ detection of the effects of lensing magnification in the HSC data. Our results are stable to variations in the amplitude of density fluctuations σ8 and the cold dark matter abundance Ωc and we find constraints that agree well with measurements from Planck and low-redshift probes. Finally, we use our analysis pipeline to study the clustering of galaxies as a function of limiting flux, and provide a simple fitting function for the linear galaxy bias for magnitude limited samples as a function of limiting magnitude and redshift.
DOI: 10.15468/dl.p4c5xi
title: Occurrence Download

description: A dataset containing 2158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muridae",
 "BasisOfRecord is Material sample"
 ]
}

 The dataset includes 2158 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001524-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.uwtfjt
title: Simulating functional diversity of European natural forests along climatic gradients

description: Aim: We analyse how functional diversity (FD) varies across European natural forests to understand the effects of environmental and competitive filtering on plant trait distribution. Location: Forest ecosystems in Europe from 11°W to 36°E and 29.5°N to 62°N. Taxon: Pinaceae, Fagaceae and Betulaceae, Oleaceae, Tiliaceae, Aceraceae, Leguminosae (unspecific). Methods: We adopted the existing Dynamic Global Vegetation Model Lund-Potsdam- Jena managed Land of flexible individual traits (LPJmL-FIT) for Europe by eliminating both bioclimatic limits of plant functional types (PFTs) and replacing prescribed values of functional traits for PFTs with emergent values under influence of environmental filtering and competition. We quantified functional richness (FR), functional diver- gence (FDv) and functional evenness (FE) in representative selected sites and at Pan- European scale resulting from simulated functional and structural trait combinations of individual trees. While FR quantifies the amount of occupied trait space, FDv and FE describe the distribution and abundance of trait combinations, respectively, in a multidimensional trait space. Results: Lund-Potsdam-Jena managed Land of flexible individual traits reproduces spatial PFTs and local trait distributions and agrees well with observed productivity, biomass and tree height of European natural forests. The observed site-specific trait distributions and spatial gradients of traits of the leaf- and stem-resource economics spectra coincide with environmental filtering and the competition for light and water in environments with strong abiotic stress. Where deciduous and needle-leaved trees co-occur, for example, in boreal and mountainous forests, the potential niche space is wide (high FR), and extreme ends in the niche space are occupied (high FDv). We find high FDv in Mediterranean forests where drought increasingly limits tree growth, thus niche differentiation becomes more important. FDv decreases in temperate for- ests where a cold climate increasingly limits growth efficiency of broad-leaved sum- mer green trees, thus reducing the importance of competitive exclusion. Highest FE was simulated in wet Atlantic and southern Europe which indicated relatively even niche occupation and thus high resource-use efficiency. Main Conclusions: We find FD resulting from both environmental and competitive filtering. Pan-European FR, FDv and FE demonstrate the influence of climate gradi- ents and intra- and inter-PFT competition. The indices underline a generally high FD of natural forests in Europe. Co-existence of functionally diverse trees across PFTs emerges from alternative (life-history) strategies, disturbance and tree demography.
DOI: 10.15468/dl.rum5sx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium praemorsum Schuit. & de Vogel"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170024-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-44771
title: Attorney notes, 1991 Apr.-June

description: Collection of handwritten attorney notes, some with attached business cards (Sol Bernstein, Thomas W. Lorenzen, Charles M. Naumer, Philip A. Henning Jr.), with Los Angeles Police Department complaint database reports, phone message, 1991 April-June. PART OF A SERIES: The series relates to the work product of Sibley & Austin, whose staff contributed to the Commission's probe of excessive force allegations brought against the LAPD. Included in the series are memoranda, witness testimonies, interview summaries, copies of officers' background files, after-action summaries and reports, and notes taken by the firm. Materials relate to four major areas of study undertaken by the firm: the Justice for Janitors labor demonstration of 1990, the jail ward of County/USC Medical Center, Los Angeles city jails, and a review of the LAPD's Background Investigation Unit.
DOI: 10.48577/jpl.f6al9e
title: Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments

description: Aims. Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. Methods. We present an `end-to-end' approach that introduces sources of bias in a modelled weak lensing survey on a galaxy-by galaxy level. Residual biases are propagated through a pipeline from galaxy properties (one end) through to cosmic shear power spectra and cosmological parameter estimates (the other end), to quantify how imperfect knowledge of the pipeline changes the maximum likelihood values of dark energy parameters. Results. We quantify the impact of an imperfect correction for charge transfer inefficiency (CTI) and modelling uncertainties of the point spread function (PSF) for Euclid, and find that the biases introduced can be corrected to acceptable levels.
DOI: 10.48577/jpl.wbsfra
title: Improved constraints on northern extratropical CO2 2 fluxes obtained by combining surface-based and 3 space-based atmospheric CO2 measurements

description: Top-down estimates of CO2 fluxes are typically constrained by either surface-based or 39 space-based CO2 observations. Both of these measurement types have spatial and tem40 poral gaps in observational coverage that can lead to differences in inferred fluxes. As41 similating both surface-based and space-based measurements concurrently in a flux in42 version framework improves observational coverage and reduces sampling related arti43 facts. This study examines the consistency of flux constraints provided by these differ44 ent observations and the potential to combine them by performing a series of six-year 45 (2010–2015) CO2 flux inversions. Flux inversions are performed assimilating surface-based 46 measurements from the in situ and flask network, measurements from the Total Carbon 47 Column Observing Network (TCCON), and space-based measurements from the Green48 house Gases Observing Satellite (GOSAT), or all three datasets combined. Combining 49 the datasets results in more precise flux estimates for sub-continental regions relative to 50 any of the datasets alone. Combining the datasets also improves the accuracy of the pos51 terior fluxes, based on reduced root-mean-square differences between posterior-flux-simulated 52 CO2 and aircraft-based CO2 over midlatitude regions (0.33–0.56 ppm) in comparison to 53 GOSAT (0.37–0.61 ppm), TCCON (0.50–0.68 ppm), or in situ and flask measurements 54 (0.46–0.56 ppm) alone. These results suggest that surface-based and GOSAT measure55 ments give complementary constraints on CO2 fluxes in the northern extratropics and 56 can be combined in flux inversions to improve constraints on regional fluxes. This stands 57 in contrast with many earlier attempts to combine these datasets and suggests that im58 provements in the NASA Atmospheric CO2 Observations from Space (ACOS) retrieval 59 algorithm have significantly improved the consistency of space-based and surface-based 60 flux constraints.
DOI: 10.25549/independent-c69-44754
title: Attorney notes, 1991 Apr.-June

description: Collection of handwritten attorney notes, some with attached business cards (Sol Bernstein, Thomas W. Lorenzen, Charles M. Naumer, Philip A. Henning Jr.), with Los Angeles Police Department complaint database reports, phone message, 1991 April-June. PART OF A SERIES: The series relates to the work product of Sibley & Austin, whose staff contributed to the Commission's probe of excessive force allegations brought against the LAPD. Included in the series are memoranda, witness testimonies, interview summaries, copies of officers' background files, after-action summaries and reports, and notes taken by the firm. Materials relate to four major areas of study undertaken by the firm: the Justice for Janitors labor demonstration of 1990, the jail ward of County/USC Medical Center, Los Angeles city jails, and a review of the LAPD's Background Investigation Unit.
DOI: 10.48577/jpl.mpiwve
title: Ten rules to increase the societal value of earth observations

description: Earth Observation (EO) data play an important role in our society today, but there is still tremendous opportunity to improve howthese data are used to affect change. In this paper, we provide guidance to help data providers and intermediaries within the EOvalue chain (from data to applications) increase the societal value of the EO data, information, and data products that they workwith. We first describe the EO value chain as a conceptual framework for how data are translated and applied for societal benefit.We then introduce three approaches that are often used to assess and improve the EO value chain. Finally, we present “10 rules”that can be implemented to increase the societal benefits of Earth science information. The 10 rules emphasize meeting userneeds, problem-solving within interdisciplinary teams, and long-term sustainable solutions. Some rules focus on a specificsegment of the value chain or phase in the problem-solving process, while others are relevant to the value chain or process asa whole. Each rule includes at least one case study example to illustrate the key points. The rules are loosely organized accordingto project management principles with the initial rules focusing on defining problems, planning for data use, creating effectiveteams, and examining a diverse selection of solutions. The next set of rules are best applied throughout a project, and include suchconcepts as evaluation, interoperability, trust, adoption, and documentation. Finally, the last rule addresses the challenge ofdetermining when to close a project.
DOI: 10.48577/jpl.hrplpy
title: Feasibility and Performance Analysis of Neptune Aerocapture Using Heritage Blunt-Body Aeroshells

description: No abstract available.
DOI: 10.15468/dl.b4us5p
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-44.10201 -19.67357,-43.97766 -19.67357,-43.97766 -19.58201,-44.10201 -19.58201,-44.10201 -19.67357))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 678 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013027-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dml1t2
title: Occurrence Download

description: A dataset containing 54916 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Central African Republic"
 ]
}

 The dataset includes 54916 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001524-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1074310.10fu
title: SH1074310.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074313.10fu
title: SH1074313.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074315.10fu
title: SH1074315.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074317.10fu
title: SH1074317.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074318.10fu
title: SH1074318.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074319.10fu
title: SH1074319.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074320.10fu
title: SH1074320.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1074325.10fu
title: SH1074325.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.