cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/kupouh
title: Petition of Charlotte E. Myers

description: &lt;p&gt;Petition subject: Support for individuals &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448090"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448090&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1866-01-03 &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Harvey Jewell, Boston; committee on claims &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Charlotte E. Myers&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1866-01-19,1866-01-19 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on January 19, 1866 and referred to the committee on claims and sent for concurrence and received in the Senate on January 19, 1866 and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 1.0 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, sent, received, concurred &lt;/p&gt; &lt;p&gt;Females of color signatures: 1.0 &lt;/p&gt; &lt;p&gt;Female only signatures: Yes &lt;/p&gt; &lt;p&gt;Identifications of signatories: widow, a member of the Ponkapoag tribe of Indians, [females of color] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Native American tribe: Massachusetts, Ponkapoag &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Suffolk county, feeble health, destitute, maintenance, allowance, necessaries of life, [includes note: notify A.D. Parker, 20 Court St.] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Resolves 1866, c.60, passed April 25, 1866 &lt;/p&gt;
DOI: 10.7910/dvn/kvmgzo
title: Combining limited multiple environment trials data with crop modeling to identify widely adaptable rice varieties

description: DATA for the study.

Multi-Environment Trials (MET) are conventionally used to evaluate varietal performance prior to national yield trials, but the accuracy of MET is constrained by the number of test environments. A modeling approach was innovated to evaluate varietal performance in a large number of environments using the rice model ORYZA (v3). Modeled yields representing genotype by environment interactions (GEI) were used to classify the target population of environments (TPE) and analyze varietal yield and yield stability. Eight Green Super Rice (GSR) and three check varieties were evaluated across 3796 environments and 14 seasons in Southern Asia. Based on drought stress imposed on rainfed rice, environments were classified into nine TPEs. Relative to the check varieties, all GSR varieties performed well except GSR-IR1-5-S14-S2-Y2, with GSR-IR1-1-Y4-Y1, and GSR-IR1-8-S6-S3-Y2 consistently performing better in all TPEs. Varietal evaluation using ORYZA (v3) significantly corresponded to the evaluation based on actual MET data within specific sites, but not with considerably larger environments. ORYZA-based evaluation demonstrated the advantage of GSR varieties in diverse environments. This study substantiated that the modeling approach could be an effective, reliable, and advanced approach to complement MET in the assessment of varietal performance on spatial and temporal scales whenever quality soil and weather information are accessible. This approach can also be adopted to other crops or other rice producing domains in various locations with available weather information.
DOI: 10.7910/dvn/nimua9
title: Seeking an adversary: The radical right and the saliency of pro-immigration positions in green party speeches

description: This includes the following: the corpus of Tweede Kamer speeches (Corp_TweedeKamer_V2.rds); the main dataset (Data); our R code (GL and RRPs Code.Rmd); descriptive data for Figure 1 (Descriptives); and data for the construct validity discussion in the Supplementary Materials (Construct Validity)
DOI: 10.7910/dvn/wfwy3i
title: hou00200c00046

description: St. Luke Herald. Receipt to Cassie Carter for obituary : DS with Ms annotations, 1923 Feb. 1.
description: URN-3:FHCL.HOUGH:100182637
DOI: 10.7910/dvn/ydrpgi
title: A99_12607.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/1fb0e2a1-3c17-c1c2-7070-ef496ba9116f'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/1fb0e2a1-3c17-c1c2-7070-ef496ba9116f
DOI: 10.7910/dvn/yesulc
title: Replication Data for: "The Polls—Trends: The Asymmetric Polarization of Immigration Opinion in the United States"

description: Replication files for "The Polls—Trends: The Asymmetric Polarization of Immigration Opinion in the United States" in Public Opinion Quarterly by Trent Ollerenshaw and Ashley Jardina.
DOI: 10.7910/dvn/4d7n37
title: A12_22814.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/355f7c52-252c-4585-afde-7e2ef3e3b8a6'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/355f7c52-252c-4585-afde-7e2ef3e3b8a6
DOI: 10.7910/dvn/fofv89
title: dataset2

description: g2 = group II
ex.= extraction side
non ex.= non extraction side
DOI: 10.7910/dvn/i0nfms
title: China Relief Map

description: China's relief is complicated and diversified, comprising plateau rising above 4 000 m, inland lake basin 150 m below sea-level, undulating mountains, rivers stretching for thousands of kilometres, and vast expanses of plains. Mountains and plateaus are the dominant features of China's varied landforms, making up 33% and 26% of the total area respectively, while basins, plains and hills account for 19%, 12% and 10% of the total area respectively.
DOI: 10.15468/dl.wbt8pd
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera glazioviana",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 192 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025752-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr9fe5
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample, Living Specimen, Occurrence evidence)",
 "DatasetKey is one of (SAMES herbarium - Universidade Federal do Espírito Santo - Herbário Virtual REFLORA, NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, ALCB herbarium - Universidade Federal da Bahia - Herbário Virtual REFLORA, SPF herbarium - Universidade de são Paulo - Herbário Virtual REFLORA, K herbarium - Royal Botanic Gardens, Kew - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, MBML Herbarium - Museu de Biologia Mello Leitão - Herbário Virtual REFLORA, RB - Rio de Janeiro Botanical Garden Herbarium Collection, VIES herbarium - Universidade Federal do Espírito Santo - Herbário Virtual REFLORA, Catálogo de Plantas das Unidades de Conservação do Brasil, MBM herbarium - Museu Botânico Municipal - Herbário Virtual REFLORA)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleocephalocereus"
 ]
}

 The dataset includes 103 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025751-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp3w7k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Acipenseriformes, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006551-260129131611470/datasets/export for details.
DOI: 10.15468/dl.fuuhxg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hirania rosea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006552-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7k6yux
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrognathus aculeatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 100 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004309-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.1zcrjdg42
title: Data from: Two hypotheses about climate change and species distributions

description: Comparisons of temperature variability in Deep sea, Coastal and
 Terrestrial localities around 42.2 degrees latitude and -63 degrees
 longitude. The marine data come from the World Ocean Atlas and the
 Terrestrial data come from weather stations for the World Meteorological
 Organization. All data cover the same 30 year period of 1991-2020.
description: # Two hypotheses about climate change and species distributions Dataset
 DOI: [10.5061/dryad.1zcrjdg42](10.5061/dryad.1zcrjdg42) ## Description of
 the data and file structure Data were obtained from the World Ocean Atlas
 ([https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/](https://www.ncei.noaa.gov/access/world-ocean-atlas-2023/)) for marine sites and and the World Meteorological Organization ([https://www.ncei.noaa.gov/data/oceans/archive/arc0216/0253808/5.5/data/0-data/data-composite-primary-parameters-min24/](https://www.ncei.noaa.gov/data/oceans/archive/arc0216/0253808/5.5/data/0-data/data-composite-primary-parameters-min24/)) for terrestrial sites. Deep sea ecosystems (*n*=15) exhibit lower temporal variation in temperature compared with nearshore (*n*=10) and terrestrial (*n*=10) sites. Means and standard deviations of temperatures are presented for a 30-year period (1991–2020), using interpolated data from the World Ocean Atlas for coastal and deep sea locations and measurements from World Meteorological Organization weather stations for terrestrial sites. All sites were chosen at similar northern latitudes (deep sea: 42.125–42.875; coastal: 42.5; terrestrial: 42–42.985) to minimize latitudinal climate variation. Deep sea temperatures represent conditions at 2000 m depth, coastal temperatures were taken at 0 m depth, and terrestrial site elevations ranged from 4 to 396 m. Black triangles indicate the overall mean and standard deviation for each region, with deep sea locations in blue, coastal locations in light orange, and terrestrial locations in green. ### Files and variables #### File: Figure2.csv **Description:**  ##### Variables * Latitude: Latitude (decimal degrees) * Longitude: Longitude (decimal degrees) * mean: Mean temperature in degrees C * stdev: Standard deviation in temperature in degrees C * CV: Coefficient of variation * elevation (m): Elevation * timeframe: Years of coverage (start -- finish) * habitat: One of "Near Shore", "Deep sea", or "Terrestrial"  * X: Variable to facilitate plotting #### File: Figure2.R **Description:** Code for generating figure 2
DOI: 10.15468/dl.ev6r8z
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odontesthes bonariensis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 77 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004311-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.dbrv15fcz
title: Data from: Linking water to the bottom: eDNA study of benthic invertebrates and invasive species in the Venice lagoon

description: This study investigates the benthic invertebrate community in the Venice
 Lagoon using environmental DNA (eDNA) metabarcoding based on superficial
 water samples. Our objective is to understand if, in a shallow lagoon
 system, sampling at the surface can provide information on benthic
 biodiversity, allowing us to establish a baseline for future assessments
 and to monitor the community's seasonal and spatial variation. eDNA
 was collected from surface water samples at two sites during nine sampling
 campaigns from November 2018 to October 2019, and metabarcoding was
 performed using an available primer pair targeting 16S mitochondrial rDNA
 of echinoderms, never tested empirically before. Analyses revealed 80
 taxonomic units, five not assigned at the species level, belonging not
 only to the phylum Echinodermata but predominantly assigned to Mollusca,
 with the majority of the identified species (60 out of 75) representing
 benthic invertebrates. Several species known to be invasive were detected,
 some previously recorded in the Venice Lagoon environment and others
 detected for the first time. Significant spatial differences in species
 composition were observed between the northern and the southern site of
 the lagoon. Temporal variation of the benthic community was also observed,
 mainly due to the distinctiveness of autumn samples, highlighting the
 dynamic nature of the Venice Lagoon ecosystem. Our results confirm the
 utility of eDNA for ongoing biodiversity monitoring and management and
 show that eDNA isolated from superficial water can provide information on
 the benthic invertebrate community, which might be particularly useful for
 biodiversity assessment in lagoons, ports, and areas characterized by
 limited or interdicted access.
description: # Data from: Linking water to the bottom: eDNA study of benthic
 invertebrates and invasive species in the Venice lagoon This submission
 contains ancillary information for the paper "Linking Water to the
 Bottom: eDNA Study of Benthic Invertebrates and Invasive Species in the
 Venice Lagoon" (Environmental DNA, Print ISSN: 2637-4943, Online
 ISSN: 2637-4943, Article ID: EDN370093). It contains: 1. A csv file
 ("metadata_LinkingWaterToTheBottom.csv") containing the full
 metadata needed to demultiplex the raw data deposited in the NCBI SRA
 Archive (BioProject accession number: PRJNA1208720). The file contains the
 Filter ID used in the original paper, the sample-id that identifies for
 each filter the three PCR replicates made (pooled in the original paper),
 the collection location, the date of collection, the filter type,
 information on controls the sequences of the barcodes and primer used; n/a
 indicates not "not applicable". 2. A text file
 ("Pipeline_LinkingWaterToTheBottom.txt") containing the
 bioinformatic pipeline used in the original paper.
DOI: 10.15468/dl.2rsfkn
title: Occurrence Download

description: A dataset containing 7441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "TaxonKey is one of (Hymenophyllum capillare, Hymenophyllum hirsutum, Hymenophyllum kuhnii, Crepidomanes africanum, Didymoglossum ballardianum, Didymoglossum chamaedrys, Crepidomanes chevalieri, Crepidomanes clarenceanum, Trichomanes crispiforme, Polyphlebium diaphanum, Abrodictyum dregei, Didymoglossum erosum, Crepidomanes fallax, Vandenboschia gigantea, Abrodictyum guineense, Didymoglossum liberiense, Crepidomanes parvulum, Crepidomanes melanotrichum, Crepidomanes mettenii)"
 ]
}

 The dataset includes 7441 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004310-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxdk42
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Bichromomyia olmeca"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004313-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy4ejn
title: Occurrence Download

description: A dataset containing 3468048 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acridotheres tristis"
 ]
}

 The dataset includes 3468048 records from 395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004276-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.mgqnk999j
title: A diversity arrays technology developed high-density DArT markers as a tool for efficient and rapid genomic assessment in Ethiopian Mustard (Brassica carinata A. Braun)

description: High-density genomic markers were developed for Ethiopian mustard
 (Brassica carinata A. Braun), an allotetraploid species with a BBCC
 genome, using the Diversity Arrays Technology (DArT)
 genotype-by-sequencing (GBS) platform. From a redesigned 90 K Illumina
 Infinium SNP array incorporating additional 30,000 B genome information,
 15,515 single nucleotide polymorphisms (SNPs) and 15,515 silicoDArT
 (dominant) markers were identified. Of these, 3,793 SNPs and 3,795
 silicoDArT markers were polymorphic and were distributed across all 17 B.
 carinata chromosomes (8B, 9C). These markers offer a powerful tool for
 efficient genomic analysis, enabling rapid genomic screening, and targeted
 breeding strategies for B. carinata.
description: # A diversity arrays technology developed high-density DArT markers as a
 tool for efficient and rapid genomic assessment in Ethiopian Mustard
 (*Brassica carinata* A. Braun) Dataset DOI:
 [10.5061/dryad.mgqnk999j](10.5061/dryad.mgqnk999j) ## Description of the
 data and file structure SNP genotypes, silicoDArT genotypes, and
 respective metadata of *B. carinata* genotypes. The data file contains
 comprehensive genotypic information for 188 Ethiopian Mustard (*Brassica
 carinata* A. Brown) accessions, including 15,515 SNP and 15,515 silicoDArT
 marker scores, corresponding marker sequences, and associated
 metadata. The accessions were sourced from the Ethiopia Biodiversity
 Institute (EBI) gene bank and the Oilseed Crops Improvement Program of the
 Holeta Agricultural Research Center (HARC), Ethiopia.
DOI: 10.5061/dryad.3r2280gth
title: Crossing thermal boundaries: Quantifying the impact of sublethal heat stress on growth in black soldier fly (Hermetia illucens)

description: By integrating the biological principles underlying both the thermal
 performance curve (TPC) and the thermal death time (TDT) model, we develop
 a quantitative model to investigate sublethal heat stress in ectothermic
 organisms. Heat injury is induced in the stressful temperature range (as
 described by the TDT model) and is subsequently monitored at a fixed point
 within a permissive temperature range, corresponding to the TPC optimum
 (TPCopt), with assessments based on impaired growth and increased
 mortality. 
description: # Crossing thermal boundaries: Quantifying the impact of sublethal heat
 stress on growth in black soldier fly (Hermetia illucens) Dataset DOI:
 [10.5061/dryad.3r2280gth](10.5061/dryad.3r2280gth) ## Description of the
 data and file structure The dataset includes raw data, excluding outliers
 that were removed according to criteria described in the manuscript. The
 data were collected at the Department of Zoophysiology at Aarhus
 University and are based on growth rates and mortality. Controlled doses
 of heat injury, calculated as a fraction of the LT50, were applied to
 Black Soldier Fly larvae in temperature-regulated water baths. The larvae
 were then transferred to a temperature-controlled heating cabinet for
 growth monitoring. The data includes 1) A thermal performance curve
 (derived from temperature measurements and specific growth rates over a
 24-hour period), 2) Lt50 values (later used to develop a TDT model to
 determine precise heat injury doses), 3) An investigation of heat injury
 additivity, and 4) Acute and persistent effects of sublethal heat stress -
 evaluated at 1 day, 7 days (under production conditions), and 12 days
 post-injury - as well as mortality rates during larval development. ###
 Files and variables ### File:
 Data\_availability\_Crossing\_Thermal\_Boundaries\_Quantifying\_the\_Impact\_of\_Sublethal\_Heat\_Stress\_on\_Growth\_in\_Black\_Soldier\_Fly\_(Hermetia\_illucens).xlsx Below is a review of the four tabs in the attached Excel sheet. **TPC**: * The temperature is measured in Celsius. * The specific growth rate (SGR) is calculated based on the larvae’s initial weight, final weight, and the duration of the experiment (1 day).      SGR = (ln(final weight) - ln(initial weight)) / duration **Lt_50**: * Temperature in Celsius * Time in minutes (the duration of sublethal heat stress) * Mortality of 5 larvae **Additivity**: * Temperature in Celsius (the stressful temperature used to inflict sublethal damage) * Injury (%), corresponding to the fraction of Lt50 (100% damage) the larvae were subjected to * SGR: see above **Sublethal heat stress**: * Injury (%), corresponding to the fraction of Lt50 (100% damage) the larvae were subjected to. * Weight in mg * Mortality (%) is the number of dead individuals out of the total population in each group *The data are presented as raw data in Excel (xlsx). The data is organized across four tabs to provide an overview of the different experiments.*