cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ubhcu3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((11.861561 44.579897,11.861533 44.57823,11.860341 44.578159,11.858762 44.577893,11.857283 44.577727,11.845489 44.576682,11.832862 44.575572,11.824279 44.574666,11.818556 44.575044,11.816881 44.574879,11.816603 44.57612,11.816612 44.576121,11.816579 44.576139,11.7945 44.574099,11.794318 44.575538,11.795597 44.577085,11.795674 44.577657,11.795446 44.578129,11.795636 44.578949,11.796075 44.579728,11.799669 44.584254,11.802616 44.588428,11.809749 44.597902,11.81224 44.600602,11.820376 44.61362,11.821264 44.614316,11.823168 44.613192,11.826413 44.6102,11.826413 44.610225,11.827077 44.609588,11.827448 44.609232,11.845456 44.591959,11.845795 44.5917,11.846336 44.591471,11.847034 44.591382,11.847344 44.591553,11.847913 44.591898,11.848596 44.591486,11.849689 44.590239,11.850222 44.589831,11.850553 44.589429,11.851459 44.588437,11.852186 44.587917,11.853352 44.587135,11.853929 44.586618,11.855923 44.585313,11.856705 44.584863,11.857138 44.584493,11.857219 44.584096,11.857191 44.584096,11.857632 44.583297,11.858345 44.58249,11.859457 44.581637,11.860143 44.581297,11.861493 44.581191,11.861563 44.58006,11.861561 44.579897)),((11.819336 44.559646,11.819125 44.560861,11.819077 44.56085,11.818624 44.563946,11.817681 44.56935,11.817581 44.569891,11.827216 44.570659,11.828258 44.570633,11.829167 44.565897,11.829435 44.565551,11.830213 44.561523,11.827826 44.560974,11.82695 44.560687,11.823829 44.560176,11.8206 44.559836,11.819892 44.559797,11.819336 44.559646)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027426-230530130749713/datasets/export for details.
DOI: 10.15468/dl.3wh3q5
title: Occurrence Download

description: A dataset containing 13061988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "Country is Australia",
 "Year is greater than or equal to 2020"
 ]
}

 The dataset includes 13061988 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009886-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64g8hx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Données de la Réserve Naturelle Nationale de Chérine (36) - Données publiques RNN Chérine - Faune 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208145-230224095556074/datasets/export for details.
DOI: 10.15468/dl.vwuvy8
title: Occurrence Download

description: A dataset containing 393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Globisporangium irregulare (Buisman) Uzuhashi, Tojo & Kakish.",
 {
 "not" : {
 "Country" : [
 "is United States of America"
 ]
 }
 },
 {
 "not" : {
 "Country" : [
 "is Canada"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 }
 ]
}

 The dataset includes 393 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127187-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74e5cv
title: Occurrence Download

description: A dataset containing 129397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria viridis (L.) P.Beauv."
 ]
}

 The dataset includes 129397 records from 1112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127182-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p4u4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Projet immobilier sur la commune de Saint-Pierre-d'Irube et le lieu-dit Alminoritz-Inventaire Mollusque",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208146-230224095556074/datasets/export for details.
DOI: 10.15468/dl.vu4abq
title: Occurrence Download

description: A dataset containing 133369 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observatoire Pelagis aerial surveys 2002-2021"
 ]
}

 The dataset includes 133369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021328-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad2g5g
title: Occurrence Download

description: A dataset containing 1058 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lilium auratum Lindl."
 ]
}

 The dataset includes 1058 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009453-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ef5cxm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Species inventories ANF, Recorder-Lux database",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208140-230224095556074/datasets/export for details.
DOI: 10.15468/dl.unu9sj
title: Occurrence Download

description: A dataset containing 253310 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora-On: occurrence data of the flora of mainland Portugal"
 ]
}

 The dataset includes 253310 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021351-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqttt7
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prasophyllum castaneum D.L.Jones"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094320-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7un6qt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((12.957718 42.079306,12.956811 42.078436,12.956319 42.077364,12.956001 42.076551,12.955403 42.075192,12.955313 42.074611,12.95526 42.073923,12.955272 42.073081,12.95481 42.072846,12.954122 42.072615,12.954027 42.07241,12.954015 42.072069,12.953797 42.071786,12.953318 42.071466,12.952213 42.070831,12.9512 42.070385,12.950485 42.070262,12.950149 42.070148,12.949587 42.070132,12.949219 42.070146,12.948912 42.070213,12.948621 42.070523,12.948023 42.070876,12.947956 42.071262,12.947763 42.07145,12.947368 42.071572,12.947051 42.071549,12.943151 42.072277,12.940931 42.072138,12.937223 42.072572,12.935288 42.073073,12.934227 42.073083,12.934249 42.073724,12.934008 42.074087,12.933523 42.074257,12.933179 42.074501,12.933076 42.074713,12.932873 42.075067,12.932433 42.075309,12.93225 42.075455,12.93223 42.075953,12.932309 42.076423,12.932275 42.076868,12.932496 42.07716,12.932597 42.077779,12.933174 42.077953,12.93388 42.078458,12.934751 42.07873,12.935415 42.078846,12.935408 42.079201,12.935483 42.079529,12.935778 42.079959,12.93635 42.080277,12.937201 42.080681,12.937427 42.080938,12.93784 42.081225,12.938469 42.081231,12.939425 42.081619,12.939416 42.081904,12.940721 42.082648,12.941259 42.083054,12.941575 42.08308,12.942061 42.083391,12.942553 42.083907,12.943565 42.084635,12.944264 42.084815,12.945072 42.085044,12.945485 42.085354,12.945594 42.085589,12.946095 42.086063,12.94652 42.086285,12.947622 42.086965,12.947873 42.087453,12.948386 42.087927,12.948997 42.088331,12.950264 42.087061,12.950621 42.086967,12.95124 42.086518,12.951781 42.086145,12.952334 42.085948,12.952886 42.085715,12.953439 42.085436,12.953868 42.085246,12.954322 42.085042,12.954474 42.084833,12.954649 42.084647,12.956032 42.084159,12.956221 42.084,12.957462 42.083228,12.958584 42.081139,12.958319 42.080709,12.958209 42.080452,12.957718 42.079306)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027442-230530130749713/datasets/export for details.
DOI: 10.15468/dl.pr4rfk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porifera",
 "DatasetKey is Réserves Naturelles de France (RNF) - RNF - Données du Conservatoire d'espaces naturel Limousin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208159-230224095556074/datasets/export for details.
DOI: 10.15468/dl.qbauja
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prasophyllum constrictum R.S.Rogers"
 ]
}

 The dataset includes 72 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094327-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8knu83
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus flexuosus Helwig"
 ]
}

 The dataset includes 22 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208142-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4388v
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium transwallianum (Pugsley) Pugsley"
 ]
}

 The dataset includes 39 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009885-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr68tj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((10.038421 45.653745,10.039959 45.652825,10.039178 45.651903,10.039479 45.65165,10.040945 45.651029,10.042374 45.648444,10.040208 45.647034,10.038622 45.64662,10.037954 45.64634,10.035699 45.64561,10.035133 45.645294,10.034817 45.644725,10.034601 45.644084,10.035494 45.642789,10.036698 45.641292,10.037196 45.641166,10.03787 45.639016,10.037858 45.638408,10.037435 45.637555,10.036333 45.635814,10.034994 45.635004,10.034337 45.63526,10.033928 45.635192,10.033477 45.635589,10.032267 45.636279,10.030748 45.636758,10.03024 45.636834,10.02847 45.637528,10.028381 45.638208,10.026559 45.638868,10.025059 45.639824,10.023541 45.63818,10.022534 45.638797,10.022229 45.638871,10.02146 45.638592,10.0208 45.638705,10.019334 45.639326,10.018563 45.638939,10.018014 45.639587,10.017777 45.640519,10.017689 45.641305,10.017441 45.641701,10.017806 45.642126,10.017864 45.642555,10.019994 45.642,10.020452 45.64196,10.020495 45.641947,10.020503 45.641959,10.020813 45.642207,10.021133 45.643026,10.020833 45.643314,10.021566 45.644415,10.022343 45.645123,10.02244 45.645566,10.022044 45.645483,10.021431 45.645417,10.021025 45.645492,10.020992 45.646457,10.020635 45.646425,10.019922 45.646431,10.019569 45.646649,10.019433 45.647579,10.020409 45.648035,10.021534 45.651062,10.022103 45.651521,10.023019 45.651477,10.02399 45.651611,10.025785 45.652274,10.028849 45.653491,10.028014 45.654362,10.024197 45.652878,10.024112 45.652754,10.020228 45.654897,10.01981 45.654293,10.018894 45.654373,10.018684 45.654053,10.018272 45.653807,10.017563 45.654063,10.015836 45.654328,10.015642 45.654866,10.014676 45.654982,10.012904 45.655605,10.011889 45.655864,10.010837 45.656838,10.010904 45.656829,10.010888 45.656838,10.012796 45.658107,10.018092 45.657917,10.020298 45.658755,10.02464 45.659324,10.024996 45.659315,10.024996 45.659321,10.027705 45.659761,10.02832 45.659934,10.029494 45.660066,10.030037 45.659097,10.031038 45.658123,10.030677 45.657876,10.030774 45.657589,10.031887 45.65715,10.031629 45.656974,10.032583 45.656251,10.033243 45.656102,10.034052 45.655737,10.034449 45.655198,10.035815 45.654793,10.035821 45.654796,10.036928 45.65421,10.037133 45.654316,10.038396 45.653733,10.038421 45.653745)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027469-230530130749713/datasets/export for details.
DOI: 10.15468/dl.zv83k6
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prasophyllum cucullatum Rchb.f."
 ]
}

 The dataset includes 73 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094330-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hw8aub
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium vestitum (C.E.Salmon) C.E.Salmon"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009890-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj9h2z
title: Occurrence Download

description: A dataset containing 625 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Evolvulus frankenioides Moric."
 ]
}

 The dataset includes 625 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208147-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/md2opv
title: Single-cell transcriptomics reveals a new marine parasite: characterization and distribution of Rozellomyces from the Gulf of Alaska
title: New rozellid using single-cell transcriptomics

description: Here, we describe a new rozellid isolate from the Gulf of Alaska. Phylogenomic analysis based on 238 genes confirms its placement within Rozellomycota and its distinctness from currently described taxa. We identified ASVs from the metaPR2 database to recover its geographic distribution. Our isolate is an endoparasite of the diatom Thalassiosira, a primary producer in marine ecosystems that plays a critical role in global carbon and nutrient cycling. Phylogenetic and ecological evidence supports the establishment of a new genus within Rozellomycota, Rozellomyces. Our findings provide new insights into the diversity, distribution, and ecological roles of Rozellomycota, highlighting the need for further research on these parasites in marine ecosystems.
DOI: 10.6084/m9.figshare.31356418
title: Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction

description: It is important to incorporate spatial geographic information into U.S. presidential election analysis, especially for swing states. The state-level analysis also faces significant challenges of limited spatial data availability. To address the challenges of spatial dependence and small sample sizes in predicting U.S. presidential election results using spatially dependent data, we propose a novel transfer learning framework within the SAR model, called as tranSAR. Classical SAR model estimation often loses accuracy with small target data samples. Our framework enhances estimation and prediction by leveraging information from similar source data. We introduce a two-stage algorithm, consisting of a transferring stage and a debiasing stage, to estimate parameters and establish theoretical convergence rates for the estimators. Additionally, if the informative source data are unknown, we propose a transferable source detection algorithm using spatial residual bootstrap to maintain spatial dependence and derive its detection consistency. Simulation studies show our algorithm substantially improves the classical two-stage least squares estimator. We demonstrate our method’s effectiveness in predicting outcomes in U.S. presidential swing states, where it outperforms traditional methods. In addition, our tranSAR model predicts that the Republican Party would win the 2024 U.S. presidential election.
DOI: 10.6084/m9.figshare.31356418.v1
title: Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction

description: It is important to incorporate spatial geographic information into U.S. presidential election analysis, especially for swing states. The state-level analysis also faces significant challenges of limited spatial data availability. To address the challenges of spatial dependence and small sample sizes in predicting U.S. presidential election results using spatially dependent data, we propose a novel transfer learning framework within the SAR model, called as tranSAR. Classical SAR model estimation often loses accuracy with small target data samples. Our framework enhances estimation and prediction by leveraging information from similar source data. We introduce a two-stage algorithm, consisting of a transferring stage and a debiasing stage, to estimate parameters and establish theoretical convergence rates for the estimators. Additionally, if the informative source data are unknown, we propose a transferable source detection algorithm using spatial residual bootstrap to maintain spatial dependence and derive its detection consistency. Simulation studies show our algorithm substantially improves the classical two-stage least squares estimator. We demonstrate our method’s effectiveness in predicting outcomes in U.S. presidential swing states, where it outperforms traditional methods. In addition, our tranSAR model predicts that the Republican Party would win the 2024 U.S. presidential election.
DOI: 10.3886/e238862
title: National Transit Database (NTD)

description: After data reporting was required by Congress in 1974, the 
FTA's National Transit Database (NTD) was set up to be the repository of
 data about the financial, operating and asset conditions of American 
transit systems. The NTD records the financial, operating, and asset 
condition of transit systems helping to keep track of the industry and 
provide public information and statistics. The NTD is designed to 
support local, state and regional planning efforts and help governments 
and other decision-makers make multi-year comparisons and perform trend 
analyses. It contains a wealth of information such as agency funding 
sources, inventories of vehicles and maintenance facilities, safety 
event reports, measures of transit service provided and consumed, and 
data on transit employees.

FTA uses NTD data to apportion funding to urbanized and rural areas 
in the United States. Transit agencies report data on a number of key 
metrics including Vehicle Revenue Miles (VRM), Vehicle Revenue Hours 
(VRH), Passenger Miles Traveled (PMT), Unlinked Passenger Trips (UPT), 
and Operating Expenses (OE). This website provides reference materials 
to support reporting to the NTD and links to NTD data products. <br><br>
DOI: 10.3886/e238862v1
title: National Transit Database (NTD)

description: After data reporting was required by Congress in 1974, the 
FTA's National Transit Database (NTD) was set up to be the repository of
 data about the financial, operating and asset conditions of American 
transit systems. The NTD records the financial, operating, and asset 
condition of transit systems helping to keep track of the industry and 
provide public information and statistics. The NTD is designed to 
support local, state and regional planning efforts and help governments 
and other decision-makers make multi-year comparisons and perform trend 
analyses. It contains a wealth of information such as agency funding 
sources, inventories of vehicles and maintenance facilities, safety 
event reports, measures of transit service provided and consumed, and 
data on transit employees.

FTA uses NTD data to apportion funding to urbanized and rural areas 
in the United States. Transit agencies report data on a number of key 
metrics including Vehicle Revenue Miles (VRM), Vehicle Revenue Hours 
(VRH), Passenger Miles Traveled (PMT), Unlinked Passenger Trips (UPT), 
and Operating Expenses (OE). This website provides reference materials 
to support reporting to the NTD and links to NTD data products. <br><br>
DOI: 10.15468/dl.vfd9p8
title: Occurrence Download

description: A dataset containing 152539 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Borago officinalis L."
 ]
}

 The dataset includes 152539 records from 823 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010338-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dwa-qdt-v14
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/trh-f43-v4m
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5e7-mzn-rd1
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vaw-5gc-pac
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bqd-1he-4ev
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mqq-svz-s6w
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9j4-wrx-0pq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.