cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/annis-ouc17198323
title: Los Riscos de Momostenango, Guatemala, 1934

description: House; farm near and images of sandstone formations, Los Riscos de Momostenango, Totonicapán, Guatemala, 1934 August 24.
DOI: 10.15468/dl.cq64ae
title: Occurrence Download

description: A dataset containing 8856 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dikerogammarus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8856 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001489-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/browneg-ouc11399i6qk
title: We the people take America back, 1992

description: Video recording (VHS) of an episode (#133) of We the people take America back, 1992. Tape #1122. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript created with Whisper AI.
DOI: 10.25549/browneg-ouc11399i6lg
title: Brown at nomination day, homeless shelter, 1992-07-15

description: Video recording (VHS) of Jerry Brown [Democratic candidate for president] on nomination day, and at a homeless shelter (permanent housing), 1992 July 15. Tape #1036. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript created with Whisper AI.
DOI: 10.25549/browneg-ouc11399i6if
title: Brown for President, Nebraska & New York tour stops

description: Video recording (VHS) of Jerry Brown speaking as part of his 1992 presidential campaign. Footage from appearances at the University of Nebraska and in New York City. Tape #1178. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript created with Whisper AI.
DOI: 10.25549/browneg-ouc11399hquv
title: Brown remarks at Committee of the Whole, 1982-02? (part 6 of 6)

description: Jerry Brown remarks at Committee of the Whole meeting addressing California state budget issues for 1981/1982 & 1982/1983, Sacramento, California, USA, February? 1982 (part 6 of 6). "A: side 6; B:". "A: Side 6".
DOI: 10.15468/dl.5wevea
title: Occurrence Download

description: A dataset containing 90596 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 one of (Asplenium ruscinonense, Gunniopsis rubra, Nenax velutina, Coronidium densifolium, Blumea psammophila, Eucalyptus platydisca, Sideritis arizagae, Asplenium trilobum, Streptanthus morrisonii, Berzelia burchellii, Calotis erinacea, Coronidium monticola, Porophyllum pausodynum, Aloe pluridens, Eucalyptus brachyandra, Eucalyptus brunnea, Eucalyptus wilcoxii, Lavandula ginginsii, Kniphofia fluviatilis, Kniphofia northiae, Kniphofia triangularis, Aloe krapohliana, Aloe melanacantha, Kelloggia galioides, Amphithalea alba, Amphithalea concava, Arbutus madrensis, Delphinium hellenicum, Tanacetum polycephalum, Eucalyptus erythrocorys, Eucalyptus ewartiana, Eucalyptus histophylla, Eucalyptus hypolaena, Eucalyptus kessellii, Eucalyptus lactea, Eucalyptus leucophloia, Eucalyptus macarthurii, Eucalyptus minniritchi, Eucalyptus obesa, Eucalyptus optima, Eucalyptus oxymitra, Eucalyptus pilbarensis, Eucalyptus polybractea, Eucalyptus rudis, Eucalyptus socialis, Eucalyptus tortilis, Sideritis cypria, Sideritis nutans, Sideritis phlomoides, Sideritis romana, Sideritis stachydioides, Sideritis vulcanica, Eucalyptus arborella, Eucalyptus mimica, Loxocarya gigas, Eucalyptus longissima, Delphinium parishii, Phebalium brachycalyx, Scirpus polystachyus, Aloe arenicola, Eucalyptus revelata, Laserpitium krapffii, Asplenium erectum, Asplenium vespertinum, Haloxylon persicum, Delphinium axilliflorum, Amphithalea ornata, Eucalyptus apiculata, Eucalyptus apodophylla, Eucalyptus buprestium, Eucalyptus woodwardii, Micromeria glomerata, Micromeria hybrida, Eucalyptus conferta, Asplenium seelosii, Asplenium octoploideum, Asplenium tyrrhenicum, Phebalium bifidum, Soldanella pindicola, Arbutus menziesii, Eucalyptus relicta, Eucalyptus rhomboidea, Eucalyptus austrina, Eucalyptus camphora, Eucalyptus ceracea, Eucalyptus chlorophylla, Eucalyptus conspicua, Eucalyptus cylindriflora, Eucalyptus delicata, Eucalyptus dolorosa, Eucalyptus eremicola, Eucalyptus hypostomatica, Eucalyptus insularis, Eucalyptus notabilis, Eucalyptus phoenicea, Eucalyptus victoriana, Sideritis armeniaca, Sideritis cretica, Sideritis kuegleriana, Sideritis pullulans)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 90596 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020893-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/browneg-ouc11399hqtq
title: Brown, KQED radio,1981-12-10

description: #576. Jerry Brown on the California state budget\, Etc., KQED-FM radio (Kathy McAnally and Chuck Finney, co-hosts), San Francisco, California, 10 December 1981. "KQED-FM, S.F. 12-10-81 #576".
DOI: 10.15468/dl.fk9tg5
title: Occurrence Download

description: A dataset containing 567040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Varanus exanthematicus, Mediodactylus kotschyi, Phelsuma laticauda, Python regius, Hemidactylus brookii, Salvator merianae, Natrix maura, Lacerta bilineata, Cnemidophorus lemniscatus, Psammodromus algirus, Testudo hermanni, Varanus salvator, Elaphe taeniura, Gonatodes albogularis, Anolis porcatus, Amphisbaena fuliginosa, Furcifer oustaleti, Gekko gecko, Hierophis viridiflavus, Anolis carolinensis, Timon lepidus, Anolis allisoni, Uromastyx acanthinura, Anolis equestris, Teira dugesii, Anolis wattsii, Chamaeleo chamaeleon, Chamaeleo calyptratus, Gehyra oceanica, Anolis extremus)",
 "HasCoordinate is true",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 567040 records from 3548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020885-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.br6bkn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Falcataria moluccana",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001000-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.16587311
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.6084/m9.figshare.16587311.v44
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.6084/m9.figshare.16587311.v45
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.15468/dl.r89twb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mentha arvensis gentilis, Mentha arvensis gracilis, Mentha arvensis hirticalyx, Mentha arvensis hirticalyx, Mentha arvensis hirtipes, Mentha arvensis holubyana, Mentha arvensis hymenophylla, Mentha arvensis kolozsvariensis, Mentha arvensis lanceolata, Mentha arvensis licaensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001001-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yyfyj4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone mexicana",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001002-250717081556266/datasets/export for details.
DOI: 10.15468/dl.kuuc6f
title: Occurrence Download

description: A dataset containing 12247587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parus major"
 ]
}

 The dataset includes 12247587 records from 6834 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000842-250717081556266/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.30082039.v3
title: [2025-10-13v3]A Unified Proof of the Collatz Conjecture The Invariant Structure of the $3n+1$ Problem: Generalization to All Integers via Phase Expression Theory and Universal Structural Limits.pdf

description: This paper presents a \textbf{unified and constructive framework} that resolves the long-standing open problem, the \textbf{Collatz Conjecture} ($3n+1$), over all non-zero integers (positive and negative). We introduce the \textbf{Collatz Phase Expression (CPE)}, which models the Collatz map as deterministic geometric transformations. The CPE utilizes the \textbf{Alternating Binary Notation (ABN)}, a method that encodes integers as alternating-sign powers of 2, and decomposes this into structural units: Chain ($\mathbf{R}$), Single ($\mathbf{T}$), and Node ($\mathbf{K}$). Using the CPE's characteristic quantities ($\mu$: unit count, $H_{RT}$: complexity, $B$: bit-length), we establish two \textbf{Universal Structural Limits}. These constraints imply that infinite divergence and non-trivial cycles are structurally impossible: \begin{enumerate} \item A strict linear bound on the total bit-length, $B(F^m (n)) \le B(n) + m$, prevents exponential growth. \item A deterministic, self-regulating trade-off for the local complexity $H_{RT}$ is enforced by the **Fundamental Inequality**, ensuring complexity cannot increase unboundedly. \end{enumerate} These structural constraints demonstrate that every positive sequence converges to the minimal complexity state ($\mathbf{H_{K}=0}$), leading exclusively to the trivial loop $\{1\}$. Furthermore, the same formalism resolves the negative Collatz conjecture by establishing a universal structural upper bound ($\mathbf{H_{RT} &lt; 6}$), which guarantees convergence to the known finite loops (including $\{-1, -3, -11\}$ cycles). The CPE framework provides a deterministic lens for analyzing discrete dynamical systems.
DOI: 10.15468/dl.rhakbe
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleurastrum insigne"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023846-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4vmux
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cepaea hortensis",
 "Country is Ukraine",
 "HasCoordinate is true"
 ]
}

 The dataset includes 173 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023847-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzd7pz
title: Occurrence Download

description: A dataset containing 6940 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 6940 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023844-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15482631
title: Standardized Labeling Guidelines and Quantitative Content Analysis of New York State Mesonet Daytime Camera Images

description: The New York State Mesonet (NYSM, nysmesonet.org) captures and archives images every 5 minutes during the daytime from a suite of 127 surface-based cameras. The images are used to create a hand-labeled dataset of current precipitation conditions visible within the image: 1) Clear, 2) Rain, 3) Snow, or 4) Obstructed. Five Labelers (authors Horan, Wirz, Sutter, Evans, and Radford) performed a series of 2 labeling trials where reliability was assessed using the metric Krippendorff’s alpha (Hayes and and Krippendorff 2007). A website created by Dr. Freelon (Freelon, 2013; Freelon, 2010) is used to calculate metrics after labeling, which include Krippendorff’s alpha. This work follows a framework for Qualitative Content Analysis for trustworthy AI in Earth system science (Wirz et al. 2024), which follows recommendations for generating trust, and trustworthiness, in AI for the environmental sciences (Bostrom et al. 2024). This work also closely follows, and takes inspiration from, the framework set forth in Sutter et al. (2023), which performed a similar methodology for New York State Department of Transportation images. The group of labelers reaches a Krippendorff’s alpha of 0.926 on the second trial across 30 trials, or 150 total decisions. Shared in this dataset is the codebook used to assist in label decision making, examples for each class in the codebook, including difficult cases, images used for inter-coder reliability trials, and spreadsheets with inter-coder reliability results and statistics. For inter-coder reliability trials, the images are supplemented with NYSM data and co-located ASOS data (ASOS Tech. Note, 1998).

The purpose of this work is to create a trustworthy dataset using preset labeling techniques to create a large dataset for use in a supervised machine learning model. This model aims to predict current precipitation type (if occurring) and to provide nowcasting output of all 127 NYSM standard sites. Additional image data and standard site data is accessible via nysmesonet.org via request. Included with this dataset are also figures that show the completed distribution of data, which will be used in machine learning.

This material is based on work supported by the U.S. National Science Foundation under Grant No. RISE-2019758
DOI: 10.5281/zenodo.15482632
title: Standardized Labeling Guidelines and Quantitative Content Analysis of New York State Mesonet Daytime Camera Images

description: The New York State Mesonet (NYSM, nysmesonet.org) captures and archives images every 5 minutes during the daytime from a suite of 127 surface-based cameras. The images are used to create a hand-labeled dataset of current precipitation conditions visible within the image: 1) Clear, 2) Rain, 3) Snow, or 4) Obstructed. Five Labelers (authors Horan, Wirz, Sutter, Evans, and Radford) performed a series of 2 labeling trials where reliability was assessed using the metric Krippendorff’s alpha (Hayes and and Krippendorff 2007). A website created by Dr. Freelon (Freelon, 2013; Freelon, 2010) is used to calculate metrics after labeling, which include Krippendorff’s alpha. This work follows a framework for Qualitative Content Analysis for trustworthy AI in Earth system science (Wirz et al. 2024), which follows recommendations for generating trust, and trustworthiness, in AI for the environmental sciences (Bostrom et al. 2024). This work also closely follows, and takes inspiration from, the framework set forth in Sutter et al. (2023), which performed a similar methodology for New York State Department of Transportation images. The group of labelers reaches a Krippendorff’s alpha of 0.926 on the second trial across 30 trials, or 150 total decisions. Shared in this dataset is the codebook used to assist in label decision making, examples for each class in the codebook, including difficult cases, images used for inter-coder reliability trials, and spreadsheets with inter-coder reliability results and statistics. For inter-coder reliability trials, the images are supplemented with NYSM data and co-located ASOS data (ASOS Tech. Note, 1998).

The purpose of this work is to create a trustworthy dataset using preset labeling techniques to create a large dataset for use in a supervised machine learning model. This model aims to predict current precipitation type (if occurring) and to provide nowcasting output of all 127 NYSM standard sites. Additional image data and standard site data is accessible via nysmesonet.org via request. Included with this dataset are also figures that show the completed distribution of data, which will be used in machine learning.

This material is based on work supported by the U.S. National Science Foundation under Grant No. RISE-2019758
DOI: 10.5517/cc62fsg
title: CCDC 181095: Experimental Crystal Structure Determination

description: Related Article: F.Toda, S.Hirano, S.Toyota, M.Kato, Y.Sugio, T.Hachiya|2002|CrystEngComm|4|171|doi:10.1039/b202987c
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc62fth
title: CCDC 181096: Experimental Crystal Structure Determination

description: Related Article: F.Toda, S.Hirano, S.Toyota, M.Kato, Y.Sugio, T.Hachiya|2002|CrystEngComm|4|171|doi:10.1039/b202987c
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc62frf
title: CCDC 181094: Experimental Crystal Structure Determination

description: Related Article: F.Toda, S.Hirano, S.Toyota, M.Kato, Y.Sugio, T.Hachiya|2002|CrystEngComm|4|171|doi:10.1039/b202987c
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc630q0
title: CCDC 181651: Experimental Crystal Structure Determination

description: Related Article: J.Lacour, G.Bernardinelli, V.Russell, I.Dance|2002|CrystEngComm|4|165|doi:10.1039/b202524h
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc635zf
title: CCDC 181814: Experimental Crystal Structure Determination

description: Related Article: S.Noro, S.Kitagawa, M.Yamashita, T.Wada|2002|CrystEngComm|4|162|doi:10.1039/b202561b
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc65nnn
title: CCDC 184191: Experimental Crystal Structure Determination

description: Related Article: G.J.Reiss, J.S.Engel|2002|CrystEngComm|4|155|doi:10.1039/b203499a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc65npp
title: CCDC 184192: Experimental Crystal Structure Determination

description: Related Article: G.J.Reiss, J.S.Engel|2002|CrystEngComm|4|155|doi:10.1039/b203499a
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc648wg
title: CCDC 182865: Experimental Crystal Structure Determination

description: Related Article: F.Maharaj, V.Russell, M.Scudder, D.Craig, I.Dance|2002|CrystEngComm|4|149|doi:10.1039/b203120e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.